nep-agr New Economics Papers
on Agricultural Economics
Issue of 2018‒10‒08
124 papers chosen by



  1. The Effects of Government Payments on Agricultural Land Use By Si, Chengyu; Nadolnyak, Denis
  2. Estimating Agricultural Acreage Responses to Input Prices: Groundwater in California By Stevens, Andrew W.
  3. Jobs and Agricultural Policy: Impact of the Common Agricultural Policy on EU Agricultural Employment By Maria Garrone; Dorien Emmers; Alessandro Olper; Johan Swinnen
  4. Farmer’s Perceptions of Cost of Regulations in the Northeastern US By Brewer, Brady; Campbell, Ben; Rabinowitz, Adam; Russell, Levi
  5. Gendered impacts of agricultural subsidies in Zambia By Machina, Henry; Ngoma, Hambulo; Kuteya, Aukland
  6. Mark-up Volatility in Food Value Chains: Evidence from France and Italy By Maria Garrone; Johan Swinnen
  7. Oxen, Agricultural Productivity and Farm Income in Nicaragua By Garcia-Fuentes, Pablo A.; Fukasawa, Fukasawa; Rodriguez Martinez, Edgar A.; Vargas, Conney; Mireles, Rodrigo
  8. Unintended Impacts from Forest Certification: Evidence from Indigenous Aka Households in Congo By Jacqueline Doremus
  9. Marginal Cost of Carbon Abatement through Afforestation of Agricultural Land in the Mississippi Delta By Moore, Karli A.; Kovacs, Kent F.
  10. Willingness of Rural and Peri-urban Women Smallholder Farmers to Participate in Home-grown School Feeding Farming Contracts By Owusu-Amankwah, Georgette
  11. A Historical Database On European Agriculture, Food And Policies By Johan Swinnen
  12. Estimating Spatial Heterogeneity in Hay Yield Responses to Weather Variations in Oklahoma By Han, Kwideok; Whitacre, Brian E.
  13. Measuring the Value of the U.S. Food System: Revisions to the Food Expenditure Series By Okrent, Abigail M.; Elitzak, Howard; Park, Timothy; Rehkamp, Sarah
  14. Reducing Nutrient Losses From Cropland in the Mississippi/Atchafalaya River Basin: Cost Efficiency and Regional Distribution By Marshall, Elizabeth; Aillery, Marcel; Ribaudo, Marc; Key, Nigel; Sneeringer, Stacy; Hansen, LeRoy; Malcolm, Scott; Riddle, Anne
  15. Farm Management Implications of Transitioning from Conventional to Organic Production: An Application of Whole-Farm Linear Programming Model to Examine Transition Period By Carls, Emily; Griffin, Terry; Ibendahl, Gregory
  16. Trade and Terroir. The Political Economy of the World’s First Geographical Indications By Giulia Meloni; Johan Swinnen
  17. The Lack of Dynamic Gains from Trade in Agriculture: Implications for Governing Agricultural Trade By Moon, Wanki
  18. Farmers’ valuation of changes to crop insurance coverage level – a test of third generation prospect theory By Doidge, Mary; Feng, Hongli; Hennessy, David A.
  19. Intensity of water conservation technology adoptions in Nepal By Bhatta, Dependra; Paudel, Krishna P.; Dhakal, Rajan; Liu, Kai
  20. Mechanisms of non-tariff bariers in agri-food trade between Poland and the Chech Republic on the intra-EU market By Ambroziak, Adam A.; Grochowska, Renata
  21. Are Glyphosate-Resistant Weeds a Threat to Conservation Agriculture? Evidence from Tillage Practices in Soybean By Van Deynze, Braeden; Swinton, Scott M.; Hennessy, David A.
  22. Global Alcohol Markets: Evolving Consumption Patterns, Regulations and Industrial Organizations By Kym Anderson; Giulia Meloni; Johan Swinnen
  23. Estimating the Overall Economic Loss to the South Carolina Peach Industry due to the March 2017 Freeze By White, Cody; Vassalos, Michael; Smith, Nathan
  24. Climate and Crop Insurance: Agricultural Risk Management into the 21st Century By Crane-Droesch, Andrew; Marshall, Elizabeth; Riddle, Anne; Rosch, Stephanie D.; Cooper, Joseph C.; Wallander, Steven
  25. Using Climate Analogues to Obtain a Causal Estimate of the Impact of Climate on Agricultural Productivity By Potter, Nicholas; Brady, Michael P.; Rajagopalan, Kirti
  26. Timber or Carbon? Evaluating forest conservation strategies through a discrete choice experiment conducted in northern Guatemala By Bocci, Corinne F.; Lupi, Frank; Sohngen, Brent
  27. The effects of environmental and trade policies on land use change across borders: analyzing the drivers of sugarcane expansion in Brazil By Bertone Oehninger, Ernst; Lin Lawell, C.-Y. Cynthia; Sanchirico, James N.
  28. Economic Risk Analysis of Rice Cultivars under Organic and Conventional Management By Watkins, K. Bradley; Mane, Ranjitsinh U.; McClung, Anna
  29. Beef Consumption Reduction and Climate Change Mitigation By Darbandi, Elham; Saghaian, Sayed
  30. Tillage Intensity and Conservation Cropping in the United States By Claassen, Roger; Bowman, Maria; McFadden, Jonathan; Smith, David; Wallander, Steven
  31. Global cost estimates of forest climate mitigation with albedo: A new policy approach By Sohngen, Brent; Favero, Alice; Jin, Yufang; Huang, Yuhan
  32. Non-Farm Work and Food Security among Farm Households in Nigeria By Aborisade, Olumide; Carpio, Carlos E.
  33. Cost-effectiveness of Nutrient Loss Reduction from Working Lands Agricultural Conservation Expenditures By Sun, Shanxia; Gramig, Ben; Delgado, Michael
  34. How does carbon pricing matter for a climate-friendly food consumption? By Caillavet, France; Fadhuile, Adelaide; Nichèle, Véronique
  35. The Effect of Climate Change on Irrigated Agriculture: Water-Temperature Interactions and Adaptation in the Western U.S. By Ji, Xinde; Cobourn, Kelly M.; Weng, Weizhe
  36. Does Consumer Climate Change Knowledge and Risk Perception Influence Willingness to Pay for Climate Mitigation in Beverage Crop Production? By Kitchel, Hannah; Boehm, Rebecca L.; Cash, Sean B.
  37. Impact of Submergence-Tolerant Rice Varieties on Smallholders’ Income and Expenditure: Farm-Level Evidence from Bangladesh By Bairagi, Subir K.; Bhandari, Humnath; Das, Subrata; Mohanty, Samarendu
  38. Consumers perceptions of their own food waste. Evidence from WTP estimates and premeditated waste. By Grant, Kara R.; Gallardo, R. Karina; McCluskey, Jill J.; Mandal, Bidisha
  39. Farmers’ Motivations to Adopt Nutrition Incentive and Farm to School Programs By Lehnerd, Megan; Sacheck, Jennifer M.; Griffin, Tim; Goldberg, Jeanne P.; Cash, Sean B.
  40. Factors affecting Southeast Dairy Farmers’ adoption of Management Intensive Grazing By Ibrahim, Mohammed; Liu, Xuanli; Pattanaik, Nalini
  41. Who works in agriculture? Exploring dynamics of youth involvement in the Agri-food system in sub-Saharan Africa By Kafle, Kashi; Paliwal, Neha; Benfica, Rui
  42. Modeling the Labor Transfers from the Agricultural Sector to the Non-agricultural Sector under Food Supply Constraint in China By Dong, Qi; Murakami, Tomoaki; Nakashima, Yasuhiro
  43. An Assessment of Association between Natural Resources Agglomeration and Unemployment in Pakistan By Ali, Amjad; Zulfiqar, Kalsoom
  44. Cost of forest carbon sequestration as a response to climate change in the presence of climate impacts By Golub, Alla; Sohngen, Brent; Cai, Yongyang; Hertel, Thomas W.; Kim, John
  45. Predicting the Effects of a Sugar Sweetened Beverage Tax in a Household Production Model. By Massimo Bordignon; Di Xiang; Lue Zhan
  46. Long Run Impact of Rural Household Income on Family Living Expenses By Ajewole, Kayode; Griffin, Terry
  47. Behavioral Nudges and Nutrition Education in Bangladesh: Experimental Evidence Comparing Food Choices in a Lab Setting to Decisions at Home By Davidson, Kelly A.; Kropp, Jaclyn D.; Mullally, Conner C.; Rahman, M. Wakilur
  48. Consumer Demand and Variety Seeking with regards to U.S. Vegetable Juice Market: An Application of Entropy Index Augmented Semiparametric Censored Quadratic Almost Ideal Demand System By Dharmasena, Senarath; Capps, Oral
  49. Local Foods as a Catalyst of Rural Manufacturing: The Role of New and Small Food Innovators in Employment Dynamics By Castillo, Marcelo J.; Low, Sarah A.; Thilmany McFadden, Dawn D.
  50. Market Power in the Dairy Alternative Beverage Industry in the United States By Yang, Tingyi; Dharmasena, Senarath
  51. Farm Size, Technology Adoption and Agricultural Trade Reform: Evidence from Canada By Brown, Mark; Ferguson, Shon; Viju, Crina
  52. Cost-effectiveness of community-based gendered advisory services to farmers: Analysis in Mozambique and Tanzania By Mogues, Tewodaj; Mueller, Valerie A.; Kondylis, Florence
  53. The Effect of Food Prices and Own-produced Food on Food Security of Chinese Rural Households By Kuhlgatz, Christian H.; Huang, Jiaqi; Antonides, Gerrit; Nie, Fengying
  54. Assessing the impact of closing global commodity yield gaps on food production and land-use change emissions from biofuels By Dumortier, Jerome; Elobeid, Amani E.; Carriquiry, Miguel A.
  55. Potential Economic and Food Security Impacts of Sustainable Intensification of Polder Agriculture in Coastal Bangladesh By Shew, Aaron Michael; Mondal, Manoranjan; Yadav, Sudhir; Jagadish, S.V. Krishna; Bhandari, Humnath; Nalley, Lawton Lanier
  56. Economic Evaluation of Integrating Legume and Beef Production on Low-Water-Input Systems By Chen, Yi; McCallister, Donna; Johnson, Philip; Baxter, Lisa; West, Chuck
  57. Rural forest-based communities, economic shocks, and economic trajectories By Bell, Kathleen P.; Crandall, Mindy; Munroe, Darla K.; Colocousis, Chris; Morzillo, Anita
  58. Evidence from a Corn Belt Farmers’ Survey: A Multi-Layered Analysis of Understanding Farmers’ Adaption Strategies to Climate Change By Valcu-Lisman, Adriana M.; Ji, Yongjie; Kling, Catherine L.; Arbuckle, J. Gordon
  59. Global forest management and carbon sequestration futures under alternative shared socioeconomic pathways By Daigneault, Adam J.; Johnston, Craig; Baker, Justin S.; Latta, Gregory
  60. Food Anticipation Enhances Cognitive Ability of Overweight and Obese in the Presence of Hunger By Segovia, Michelle; Palma, Marco A.; Nayga, Rodolfo M.
  61. Estimating Economic Efficiency under Risk for Agricultural Cooperatives By Pokharel, Krishna P.; Featherstone, Allen M.; Archer, David W.
  62. The Impact of Clean Water Act on Farm Practices: The Case of U.S. Dairy CAFOs By Yu, Charng-Jiun; Du, Xiaodong; Phaneuf, Daniel J.
  63. The Impact of Size and Specialization on the Financial Performance of Agricultural Cooperatives By Pokharel, Krishna; Archer, David W.; Featherstone, Allen M.
  64. Consumer Willingness-to-Pay for Blemished Fresh Produce and Its Implications for Food Waste By Henson, Chloe D.; Collart, Alba J.; Interis, Matthew G.; Maples, Josh
  65. Production Credit Associations and Agricultural Productivity Change in the United States, 1920-1940 By Hueth, Brent M.; Hutchins, Jared; Hutchins, Jared
  66. A Meta-analysis of Water Conservation Policies in the Southern Ogallala Aquifer Region By Fan, Yubing; Park, Seong C.
  67. To What Extent Does Trade Liberalisation Affect The Financial Performance of Korean Co-operatives? By Rünzel, Max Allan Siegfried; Han, Doo Bong
  68. Models and Methods for Food Hub Location: A Comparison of Econometric vs Simulated Solutions and Policies By Ge, Houtian; Goetz, Stephan J.; Cleary, Rebecca; Gomez, Miguel I.
  69. Changing Consumer Willingness to Pay: a time series evaluation of factors impacting Floridians’ desire to preserve water resources By McKee, Brandon; Lamm, Alexa; McFadden, Brandon
  70. Factors that affect the management of common pool resources: the case of community forest management in Michoacán, Mexico By Ordoñez, Pablo J.; Baylis, Kathy; Ramirez, Isabel
  71. A Spatially Integrated Economic-Ecological Model of Farmers’ Land Management Decisions and Water Quality Outcomes in Lake Erie By Liu, Hongxing; Zhang, Wendong; Irwin, Elena G.
  72. Simulating Calving Season Length Impact on Beef Cattle Profitability By Boyer, Christopher M.; McFarlane, Zach McFarlane; Mulliniks, Travis; Griffith, Andrew P.
  73. Sufficient Statistics for the Cost of Climate Change By Derek Lemoine
  74. A Dynamic Optimization Model of Agricultural Lime Application By Shoghi Kalkhoran, Sanaz; White, Benedict; Polyakov, Maksym; Chalak, Morteza; Mugera, Amin William; Pannell, David J.
  75. The Moderating Effect of Heterogeneous Beliefs on Consumer Preferences for a New Food Technology: The Case of Modified Atmospheric Packaging By Onozaka, Yuko; Saue, Vegar Veseth; Costanigro, Marco
  76. The Effect of Agri-Marketing Facilities Location on Nearby House Price -The Case of the Agricultural Wholesale Market and Supermarket in Korea By Kwon, Ji-soo; Kim, So-Jin; Kim, Hyeon-woong; Yoo, Do-il
  77. Drivers and Impact of Food Inflation in India By Bhattacharya, Rudrani; Sen Gupta, Abhijit
  78. Food Sales Taxes on Household Food Spending: Application of a Censored Cluster Model By Dong, Diansheng; Zheng, Yuqing; Stewart, Hayden
  79. How did technical change affect land use in Brazilian agriculture? By Queiroz, Pedro; Silva, Felipe; Fulginiti, Lilyan E.
  80. Market Concentration, Market Shares, and Retail Food Prices: Evidence from the U.S. Women, Infants, and Children Program By Ma, Meilin; Saitone, Tina L.; Volpe, Richard J.; Sexton, Richard J.; Saksena, Michelle
  81. Seasonal Variation of Fed Cattle Profitability By Tang, Minfeng; Thompson, Nathanael M.; DeLong, Karen L.; Lambert, Dayton M.; Griffith, Andrew P.; Boyer, Christopher M.
  82. An Analysis of the Forest Service Timber Sale Auctions and of the Effects of the Potential Inclusion of Stewardship Timber Contracts in the Set-Aside Program: a Case Study of the Pacific North-West Region in the time period of 2001-2015 By Mojduszka, Eliza M.
  83. Can results-based prizes to private sector incentivize technology adoption by farmers? Evidence from the AgResults Nigeria pilot that uses prizes to incentivize adoption of Alfasafe. By Narayan, Tulika; Geyer, Judy; Hausdorff, Kate; Bell, Stephen
  84. Modeling Farm Household’s Productivity under Inseparable Production and Consumption decisions By Embaye, Weldensie T.; Bergtold, Jason S.; Schwab, Benjamin; Zereyesus, Yacob A.
  85. Drivers of Consumers’ Revealed Preferences for Extrinsic Quality Attributes: Evidence from the Rice Sector in South and Southeast Asia By Bairagi, Subir K.; Gustafson, Christopher R.; Custodio, Marie; Ynion, Jhoanne; Demont, Matty
  86. Mental accounting, production scale, and consumption of self-produced food: Empirical evidence from rural China By Huang, Jiaqi; Antonides, Gerrit; Kuhlgatz, Christian H.; Nie, Fengying
  87. ECONOMIC INCENTIVES FOR SOIL CONSERVATION: A DINAMIC GAME MODEL By Benito Amaro, I.
  88. Rice Production Self Sufficiency in Bangladesh: Role of Technology, Plot, and Farmer By Hasan, Mohammad Rajib; Paudel, Krishna P.; Bampasidou, Maria; Bhandari, Humnath
  89. Is Climate Change Likely to Affect the Geographic Movement of Cattle Production within the U.S.? By Mallika Appuhamilage, Buddhika P.; Tonsor, Glynn T.; Tack, Jesse B.
  90. Do Forests Provide Watershed Services to Local Populations in the Humid Tropics? Evidence from the Brazilian Amazon By Wu, Yu; Mullan, Katrina; Biggs, Trent; Caviglia-Harris, Jill L.; Harris, Daniel; Sills, Erin O.
  91. Using Targeted Policies to Manage Nitrogen for Sustainable Agriculture in the US By Liu, Jing; Hertel, Thomas W.; Kucharik, Christopher; Baldos, Uris Lantz C.; Jarvis, Larissa; Ramankutty, Navin
  92. Projecting the Provision and Value of Water from National Forests in Southern California under Ecological Change By Srivastava, Lorie; Hand, Michael S.; Kim, John
  93. Effects of California Drought on Fresh Fruit and Vegetable Prices over Time and across Space By Cakir, Metin; Beatty, Timothy; Park, Timothy A.
  94. In the Weeds: Effects of Temperature on Agricultural Input Decisions in Moderate Climates By Jagnani, Maulik; Barrett, Christopher B.; Liu, Yanyan; You, Liangzhi
  95. Consumers’ Valuation for Lab Produced Meat: An Investigation of Naming Effects By Asioli, Daniele; Bazzani, Claudia; Nayga, Rodolfo M.
  96. Adoption of Irrigation and No-till Cropping Systems under Climate Change By Lambert, Lixia He; English, Burton C.; Clark, Christopher D.; Lambert, Dayton M.; Boyer, Chris; Smith, Aaron; Papnicolaou, Thanos; Hellwinckel, Chad M.
  97. If a picture is worth 1,000 words, what words would they be? A pictorial best-worst scaling experiment involving food production systems By Bir, Courtney L.; Lai, John; Widmar, Nicole; Thompson, Nathanael M.; Ellett, Jodee
  98. Local Food System Vitality – Looking at Components across Consumer Age Groups By Zare Mehrjerdi, Mahla; Rossi, Jairus; Davis, Alison; Woods, Timothy A.
  99. Environmental and Technical Efficiencies of U.S. Dairy Farming By Zeng, Shuwei; Du, Xiaodong; Gould, Brian W.
  100. Feasibility of Using Cover Crops to Enhance Soil Organic Matter and Crop Yield in New Mexico By C., Apar G.; Ghimire, Rajan; Blayney, Don; Acharya, Ram N.
  101. Determinants of Grassland Bird Population in the United States: The Role of Land-Use Change and Pesticides Use By Li, Yijia; Khanna, Madhu; Miao, Ruiqing
  102. Multi-Credit Market, Landowners’ Responses, and Cost-Effectiveness of Credit Stacking Policy By Liu, Pengfei; Swallow, Stephen K.
  103. The Influence of Environmental Quality Incentives Program (EQIP) on Local Water Quality: Evidence from Monitoring Station Level Data By Liu, Pengfei; Wang, Yu; Zhang, Wei
  104. Farm-level Cropping Decision and Irrigation Water Use under Both Institutional and Hydrological Constraints By Lee, Gi-Eu; Rollins, Kimberly S.; Singletary, Loretta
  105. Utilizing Subjective Beliefs in Stated Preference Models: Issues and Solutions By Roe, Brian E.; Interis, Matthew G.; Howard, Gregory E.
  106. Plot size and maize production efficiency in China: agricultural involution and mechanization By Luo, Yufeng; Chen, Feifei; Qiu, Huanguang
  107. Investment into Developing Heifers: When Does She Become Profitable? By Boyer, Christopher M.; McFarlane, Zach McFarlane; Mulliniks, Travis; Griffith, Andrew P.
  108. The Land and Water Implications of Biomass Co-Firing in the MISO region By Sun, Shanxia; Hertel, Thomas W.; Valqui, Brayam; Webster, Mort
  109. Retailer Marketing Strategy and Consumer Purchase Decision for Local Food – An Agent-Based Model By Ge, Houtian; Gomez, Miguel I.; Richards, Timothy J.
  110. Macroeconomic and Farm-Level Drivers of Profitability among Smaller and Beginning Farm Businesses By Rusiana, Hofner D.; Escalante, Cesar L.; Brewer, Brady E.; Dodson, Charles B.
  111. The Impacts of SNAP Participation and 2013 SNAP Benefit Decrease on Food Insecurity for Households with Member(s) with Disability By Cho, Seungyeon; Ishdorj, Ariun; Gregory, Christian A.
  112. Does sustainable intensification of maize production enhance child nutrition? Evidence from rural Tanzania By Kim, Jongwoo; Mason, Nicole M.; Snapp, Sieglinde S.
  113. Technical Measures, R&D Investment and Technical Progress: Firm-Level Evidence from Chinese Agricultural Exporters By Xie, Zhongmin; Zhu, Xinkai; Lopez, Rigoberto A.; Lin, Chungui
  114. Projecting the Provision and Value of Water from National Forests in Southern California under Ecological Change By Srivastava, Lorie; Hand, Michael; Kim, John; Sánchez, José J.
  115. Impact Evaluation of “Regulation on water pollution from livestock and poultry production” -- the case of livestock sector in China By Ji, Chen; Chen, Shuai; Jin, Songqing
  116. The Impact of Index-Insured Loans on Agricultural Production in Northern Ghana By Mishra, Khushbu; Gallenstein, Richard; Sam, Abdoul G.; Miranda, Mario J.
  117. Pesticide use in Sub-Saharan Africa: Estimates, Projections, and Implications in the Context of Food System Transformation By Snyder, Jason E.; Smart, Jennifer C.; Goeb, Joseph C.; Tschirley, David L.
  118. The Interaction between the Supplemental Nutrition Assistance Program and Private Charities to Enhance Food Security in Low Income Families By Musa, Anne; Carpio, Carlos; Williams, Ryan; Boonsaeng, Tullaya; Lyford, Conrad
  119. Price Based Policies for Managing Residential Development and Impacts on Water Quality By Wrenn, Douglas H.; Klaiber, Allen; Newburn, David
  120. Do Geographic Indication Labels Pay off? Estimating GI’s implicit Price Dispersion in the Italian EVOO Market By Bonanno, Alessandro; Bimbo, Francesco; Costanigro, Marco; VIscecchia, Rosaria
  121. Food System Transformation and Diet Quality among a Rising Middle Class in Mozambique By Smart, Jennifer C.; Tschirley, David L.; Smart, Francis C.
  122. Reducing the Environmental Impact of Corn Monoculture: Farmer Willingness to Accept for Alternative Cropping Systems By Levers, Lucia; Pradhananga, Amit; Peterson, Jeffrey M.
  123. Opportunities for Digital Financial Services in the Cocoa Value Chain in Côte d’Ivoire By Susie Lonie; Meritxell Martinez; Rita Oulai; Christopher Tullis
  124. The Impact of Transaction Costs and Competitiveness on the Performance of Reverse Auctions in Agri-environmental Programs By Bhuiyanmishu, Siddika; Palm-Forster, Leah H.; Li, Tongzhe

  1. By: Si, Chengyu; Nadolnyak, Denis
    Abstract: Land is an important resource for agriculture production and urban development. The allocation of land use influences the supply of agricultural products and environmental quality. This paper investigates the impacts of government payments on agricultural land use allocation in the Southeast. We employ the Area Base Model and Multinomial Fractional Logit Model following Hardie and Parks (1997) using county level data from Georgia, Alabama, and Florida rural counties. Preliminary results show that government payments have significant positive impacts on farmland allocation. In particular, for the land enrolled in the CRP program, the effect of government payments is positive and significant, which indicates that these payments are an efficient policy instrument and corroborated previous research. Also, distance to the Atlanta Central Business District is a significant factor in land use allocation in Georgia.
    Keywords: Agricultural and Food Policy, Land Economics/Use
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266628&r=agr
  2. By: Stevens, Andrew W.
    Abstract: How does agricultural land use respond to variation in the price of agricultural water? Answering this question is difficult in California where there is no well-functioning market for water. To overcome this challenge, I use variation in groundwater depth over space and time to proxy for the price of water. This makes sense in a setting where groundwater pumping is unregulated, meaning the effective price of pumped groundwater is the energy cost to pump it. I construct a panel of agricultural fields in Fresno County, California from 2008 to 2016, and estimate a fixed effects model to estimate groundwater depth's effect on transition probabilities between different categories of land cover. I find that groundwater depth reduces the likelihood that parcels will be planted to an annual crop, but increases the likelihood of fallowing land. Groundwater depth seems to have a less profound effect on choosing to plant perennial crops.
    Keywords: Agricultural and Food Policy, Environmental Economics and Policy, Land Economics/Use, Resource /Energy Economics and Policy
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266691&r=agr
  3. By: Maria Garrone; Dorien Emmers; Alessandro Olper; Johan Swinnen
    Abstract: This paper investigates the relationship between EU agricultural subsidies and the outflow of labor from agriculture. We use more representative subsidy indicators and a wider coverage (panel data from 210 EU regions over the period 2004-2014) than has been used before. The data allow to better correct for sample selection bias than previous empirical studies. We find that, on average, CAP subsidies reduce the outflow of labor from agriculture, but the effect is almost entirely due to decoupled Pillar I payments and the impact of Pillar II is mixed. Coupled Pillar I payments have no impact on reducing labor outflow from agriculture, i.e. on preserving jobs in agriculture. The impact of Pillar II is mixed. Our estimates predicts that a decline of 10 percent of the CAP budget would cause an extra 16,000 people to leave EU agriculture each year. A 10 percent decoupling would save 13,000 agricultural jobs each year.
    Keywords: Agricultural employment, off-farm migration, panel data analysis
    JEL: Q12 Q18 O13 J21 J43 J60
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:lic:licosd:40418&r=agr
  4. By: Brewer, Brady; Campbell, Ben; Rabinowitz, Adam; Russell, Levi
    Abstract: Regulation and compliance are major issues within the agricultural industry. We attempt to gain a better understanding of the factors effecting the cost of compliance in the agricultural sector. We conducted an online survey during Fall 2014 on Northeastern agricultural producers. A total of 600 surveys were collected representing all types of agricultural production within the Northeastern U.S. We find producers perceive all regulations have increased since 2010, but environmental, food safety, and environmental regulations having been perceived to increase the most. Over half of the survey respondents indicated a significant increase in the cost of compliance for state regulations. However, fines after inspection was found to have little impact on the cost of compliance. We also find that older farmers have less costs of compliance and bigger farms have more costs of compliance.
    Keywords: Agribusiness
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266605&r=agr
  5. By: Machina, Henry; Ngoma, Hambulo; Kuteya, Aukland
    Abstract: Governments in Sub-Saharan Africa have been implementing agricultural subsidy programs aimed to raise productivity and promote household food security, among other things. Despite positing some gains in raising productivity, subsidies through the conventional or traditional Farmer Input Support Program (FISP) have been found to crowd out demand for commercial fertilizer. This paper asks if subsidies can reduce the gendered productivity gaps in agriculture. Applying panel data methods to the two-wave Rural Agricultural Livelihoods Surveys data collected in 2012 and 2015, the study found that male-managed plots had an average 34 kg/ha yield advantage over female-managed plots, suggesting gendered productivity gaps. The main empirical results suggest that access to FISP does not disproportionately raise crop productivity for female-managed plots. Thus, FISP is insufficient to address the male-female productivity gaps. While improving access to productive inputs for women is important to address gender productivity gaps, this will need to be complemented with deliberate measures to address the social-cultural norms that tip the balance of power dynamics, rights and entitlements towards men.
    Keywords: FISP, Productivity gap, gender, Zambia
    JEL: Q18
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:87099&r=agr
  6. By: Maria Garrone; Johan Swinnen
    Abstract: This paper estimates firm-level mark-ups and their volatility along the agri-food value chain using the methodology of De Loecker and Warzynski (2012). We estimate mark-ups of farmers, processors, wholesalers and retailers, how they change over time, and their volatility. We use detailed micro-level data from companies from Italy and France for the period 2006-2014. We find that farmers have a significantly higher volatility of mark-ups than other agents in the agri-food value chain, such as food processors, wholesalers and retailers. The volatility is negatively related with firms size in all sectors, and especially in agriculture.
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:lic:licosd:40318&r=agr
  7. By: Garcia-Fuentes, Pablo A.; Fukasawa, Fukasawa; Rodriguez Martinez, Edgar A.; Vargas, Conney; Mireles, Rodrigo
    Abstract: This research uses survey data to assess the effect of oxen as draft animals on agricultural productivity and farm agricultural income in Nicaragua. The results show that farms that use oxen to plow the land have higher productivity of beans than farms that use stick to plant crops. On average, using oxen increases farm’s beans output by 7.75 100-pound bags of beans, and hiring oxen increases farm’s beans output by 8.5 100-pound bags of beans. Farms that use oxen or hire oxen to plow the land have more planted area. The impact of using oxen to plow the land through farm planted area on farm agricultural gross income is 18.13 percent, and the impact of hiring oxen to plow the land through farm planted area on farm agricultural gross income is 25.55 percent.
    Keywords: Community/Rural/Urban Development, Food Security and Poverty, International Development
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266599&r=agr
  8. By: Jacqueline Doremus (Department of Economics, California Polytechnic State University)
    Abstract: Does Forest Stewardship Council certification of \responsible" commercial forestrychange nutrition, health and wealth for indigenous peoples, like the Aka of the Congo Basin? Using hand-collected data from the boundary of a certified and an uncertified forest in the Republic of Congo five years after certification, I compare nutrition, health, and wealth using questions that are locally salient and survey timing designed to reach semi-nomadic hunter-gatherers. Though I only observe outcomes after certification, I find suggestive evidence that forest certification may cause increased food insecurity and illness frequency for Aka households. I find no evidence of increased material wealth; instead, the poorest 15th percentile is poorer. Forest certification includes a bundle of activities, including participatory mapping, greater market integration and hunting restrictions, making it difficult to pinpoint the mechanisms driving these results.
    Keywords: Forestry; eco-label; sustainability; indigenous peoples
    JEL: O13 O18 Q56
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:cpl:wpaper:1804&r=agr
  9. By: Moore, Karli A.; Kovacs, Kent F.
    Abstract: Sequestration of atmospheric carbon in forested lands offsets carbon emissions from other industries. Conversion of private lands, particularly agricultural tracts in marginal areas, to forests can bolster carbon abatement. The United States Department of Agriculture (USDA) administers voluntary, incentive-based programs to encourage landowners to adopt production practices with positive environmental outcomes. This policy can be used to increase transition from marginal agricultural land to forests, thereby creating new carbon sinks. We analyze an eleven-county study area in the Mississippi Delta region of Arkansas to determine feasibility for a subsidy focused on carbon abatement through afforestation. This study area is significant for two reasons: the long growing season and humid climate is ideal for fast growing trees such as loblolly pine, and groundwater depletion dynamics factor heavily into future optimal land use patterns. A spatially-explicit optimization model will determine the pattern of land use that maximizes discounted economic returns to landowners and explore responsiveness of optimal land use to government subsidies. The product of this effort, a marginal cost curve for carbon abatement, will assist policymakers in allocating limited resources to programs for greenhouse gas mitigation.
    Keywords: Environmental Economics and Policy, Land Economics/Use
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266595&r=agr
  10. By: Owusu-Amankwah, Georgette
    Abstract: Conventional school feeding programs in developing economies have often been operated using international food aid to improve nutritional and educational outcomes of the most vulnerable school-age children. Home-Grown School Feeding (HGSF) programs on the other hand, refer to a framework in which the school feeding is administered using food that is locally grown by smallholder farmers; this mechanism is designed to link school feeding with local agricultural production, with a two-fold objective of increasing children’s well-being as well as promoting local agricultural production and development by generating demand for small-holder farmers’ output. Using survey data from 150 households in rural and peri-urban communities in Ghana, this study examines the binding constraints facing smallholder farmer when deciding to participate in a school feeding farming contract. The study elicits responses from both the male household head and a secondary respondent, typically a woman farmer to examine whether cash flow or market risk constraints are binding. The research uses preliminary descriptive results to assess whether farmers who receive an initial payment are more willing to participate in the school feeding program contract, than farmers who receive no initial payments and how these differ by gender.
    Keywords: Agricultural and Food Policy, Food Security and Poverty
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266714&r=agr
  11. By: Johan Swinnen
    Abstract: This dataset includes annual data on agricultural production, prices, trade and derived policy indicators for various commodities and nine European countries since the second half of the 19th century until the countries joined the EU. The countries are Belgium, France, UK, Netherlands, Germany, Finland, Sweden, Spain and Italy. The data was collected from a variety of sources, mostly national statistics, and the commodity and time coverage varies between countries.
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:lic:licosd:39917&r=agr
  12. By: Han, Kwideok; Whitacre, Brian E.
    Abstract: Hay is an important field crop in the U.S., with over 54 million harvested acres in 2015. In many southern states, hay is an important input for cattle production, and reducing forage costs is crucial for improving the profitability of livestock operations. It is well known that crop yields and quality are significantly influenced by weather variations, which can have different impacts across geographical regions and over years. This study quantifies possible heterogeneous impacts in hay yield responses to weather variations in Oklahoma hay yields. The paper uses panel data on hay yields for Oklahoma’s 77 counties from 1977 to 2007. The weather variables include temperature and precipitation. A geographically weighted regression (GWR) approach is used to estimate the local effects of weather variations on hay yields in geographic regions. The GWR allows the relationships between hay yields and weather variations to vary across geographic regions. Results suggest that geographic variation does exist in hay’s response to weather. Accordingly, it is important to model hay production within a framework that allows weather response parameters to vary. Hay producers can reduce their production risk by incorporating models that permit geographical variation in how the local climate impacts yields.
    Keywords: Agricultural and Food Policy, Crop Production/Industries
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266592&r=agr
  13. By: Okrent, Abigail M.; Elitzak, Howard; Park, Timothy; Rehkamp, Sarah
    Abstract: The Food Expenditure Series tracks annual and monthly trends in the U.S. food system since 1869. Produced by USDA’s Economic Research Service (ERS), the Food Expenditure Series quantifies the value of food acquisitions in the United States by type of sales outlet (e.g., grocery stores, warehouse clubs and supercenters, restaurants, recreational facilities, and so on) and product (e.g., packaged products meant for off-premises consumption, and meals and snacks meant for on-premises consumption). These data complement other USDA, ERS datasets that are used to gauge and track developments in consumer food-purchasing behaviors and the food supply. ERS researchers recently updated the methods and data used in the Food Expenditure Series, revising estimates back to 1997. Because of the extent of the changes, the comprehensive revision establishes a break with the previously published Food Expenditure Series. The trends shown in and the magnitude of the revised Food Expenditure Series estimates are comparable to household expenditure data estimated by other Federal Government agencies.
    Keywords: Agricultural and Food Policy, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety, Food Security and Poverty
    URL: http://d.repec.org/n?u=RePEc:ags:uerstb:277568&r=agr
  14. By: Marshall, Elizabeth; Aillery, Marcel; Ribaudo, Marc; Key, Nigel; Sneeringer, Stacy; Hansen, LeRoy; Malcolm, Scott; Riddle, Anne
    Abstract: Every summer, a large area forms in the northern Gulf of Mexico where dissolved oxygen becomes too low for many aquatic species to survive. This “hypoxic zone” is fueled by nutrient (nitrogen and phosphorus) runoff from the Mississippi/Atchafalaya River Basin (MARB), most of which comes from agriculture. This analysis used the ERS Regional Environment and Agriculture Programming (REAP) model and data from the USDA Conservation Effects Assessment Project (CEAP) to assess the most cost-effective way of achieving a 45-percent reduction in cropland nutrient loads to the Gulf. Strategies involve adoption of management practices that reduce nutrient loss from fields to water resources, off-field practices for intercepting nutrients, retirement of marginal cropland, and other changes in crop management. Results suggest that proximity to the Gulf was a major factor in the location of nutrient-reduction efforts when reducing Gulf hypoxia was the only goal. When local as well as Gulf nutrient-reduction targets are applied, nutrient-reduction efforts are spread more evenly across the MARB. Adopting nutrient management practices, restoring wetlands, and retiring cropland to meet water quality goals also increased commodity prices, resulting in more intensive production outside the MARB and increased nutrient and sediment loadings to water in other watersheds.
    Keywords: Crop Production/Industries, Environmental Economics and Policy, Health Economics and Policy
    URL: http://d.repec.org/n?u=RePEc:ags:uersrr:277567&r=agr
  15. By: Carls, Emily; Griffin, Terry; Ibendahl, Gregory
    Abstract: Over the past decade, organic farming has gained popularity among both consumers and producers. As producers consider the decision to shift from conventional to organic production, the farm management question asks under what price ratios can farmers be enticed to endure transition periods. Current rules require at least three years of organic production before the crop can be marketed as ‘organic’. Using a whole-farm linear programming (LP) model, these ‘non-productive’ transition years were modeled to examine the conditions that entice farmers to convert from conventionally grown corn. Results assist producers in making long term decisions with the objective to maximize returns to their operations. The LP base farm was parameterized using a central Illinois farm including local information on 1) production practices for a corn and soybean rotation, 2) yield penalties for plant and harvest date combinations, and 3) fieldwork probabilities. Preliminary results indicate that given expected price ratios of conventional commodities relative to a $11/bu organic corn price, producers would be willing to begin organic production.
    Keywords: Crop Production/Industries, Farm Management, Production Economics
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266685&r=agr
  16. By: Giulia Meloni; Johan Swinnen
    Abstract: The world’s first geographical indications (GIs) were in the wine sector and focused on the delineation of the location of production, the ‘terroir’: the Burgundy wines in the fifteenth century, the Port wines and Chianti wines in the eighteenth century, and the Champagne wines in the early twentieth century. We analyze the causes for the introduction of these GIs (‘terroirs’) and for changes in their delineation (expansion) later on. Our analysis shows that trade played a very important role in the creation of the ‘terroirs’ but not always through the same mechanisms. For the Port and Chianti GIs it was exports to Britain that were crucial; for Burgundy it was domestic trade to Paris; and for the Champagne GI it was not exports but pressure from wine imports and new wine regions that played a crucial role. For the expansions of the GIs later in history, other factors seem to have been equally important. Expansions of the GIs in the years and centuries after their introduction followed major changes in political power; the spread of a new philosophy in liberal and free markets across Europe; and infrastructure investments which opened up markets and made exports cheaper from “new” producers.
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:lic:licosd:40018&r=agr
  17. By: Moon, Wanki
    Abstract: Research has shown that agricultural trade is not poised to generate dynamic/productivity gains in contrast to the mounting evidence of such gains (in addition to the conventional static gains) in manufacturing. This paper interprets below the lack of the dynamic gains from trade in agriculture in order to provide further insights to better understanding the nature of the difficulty of liberalizing agricultural trade; proffer development strategies for food-importing low income countries; and suggest a new way of governing agricultural trade in the post-Doha Round era.
    Keywords: International Development, International Relations/Trade
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266613&r=agr
  18. By: Doidge, Mary; Feng, Hongli; Hennessy, David A.
    Keywords: Risk and Uncertainty, Behavioral & Institutional Economics, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274478&r=agr
  19. By: Bhatta, Dependra; Paudel, Krishna P.; Dhakal, Rajan; Liu, Kai
    Abstract: Water conservation technology is widely used in developing countries to avoid the adverse effects of water scarcity. Data obtained from a survey of 385 Nepalese households were analyzed by using parametric, semiparametric and nonparametric models. We used a Poisson quasi-likelihood method to estimate a parametric model, and local-linear least squares cross-validation bandwidth selection method for a semiparametric model. A test developed by Hsiao et al. (2007) was employed to compare parametric model to semiparametric model, and we found the semiparametric model more appropriate than a parametric model in the analysis of the intensity of water conservation technology. Semiparametric model allows the entry of variables parametrically and nonparametrically to describe linear and nonlinear effects. Results show that the farmers having agriculture as the main source of income and sufficient food availability in the previous year are positively and significantly associated with the intensity of technology adoption. These results signify the needs for appropriate policies and programs to enhance farm production and income that would encourage farmers to adopt water conservation technologies for sustainable agriculture.
    Keywords: Production Economics, Research Methods/ Statistical Methods
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266681&r=agr
  20. By: Ambroziak, Adam A.; Grochowska, Renata
    Abstract: The paper aimed identification of mechanisms of non-tariff barriers used by the EU Member States that affect the intra-EU exchange of agri-food products on the example of the trade between Poland and the Czech Republic. In the beginning the paper presents, the main theoretical assumptions of the free movement of goods, based on subsequent economic integration stages according to Balassa. Next it discusses, examples of the identified actions of the Czech Republic against the agri-food products imported from Poland, together with an analysis of potential economic mechanisms resulting from these activities. The next section presents the statistical effects of trade exchange, which allows us to formulate conclusions regarding the potential consequences of the barriers. On the basis of the analysis, it was found that soft non-tariff barriers on the Czech market have not brought any significant negative effects for the overall Polish exports of agri-food products to the Czech Republic. The negative consequences have been borne by individual traders, who according to the Czech authorities offered products that do not meet the requirements. Moreover, our study identified traditional non-tariff barriers introduced on the Czech market for export of all food suppliers which led to the collapse of exports from Poland, while at the same time the growth of the main suppliers from other EU Member States continued to grow.
    Keywords: Agricultural and Food Policy, International Relations/Trade
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:ags:iafepa:276625&r=agr
  21. By: Van Deynze, Braeden; Swinton, Scott M.; Hennessy, David A.
    Keywords: Production Economics, Environmental and Nonmarket Valuation, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274360&r=agr
  22. By: Kym Anderson; Giulia Meloni; Johan Swinnen
    Abstract: For millennia alcoholic drinks have played an important role in food security and health (both positive and negative), but consumption patterns of beer, wine and spirits have altered substantially over the past two centuries. So too have their production technologies and industrial organization. Globalization and economic growth have contributed to considerable convergence in national alcohol consumption patterns. The industrial revolution contributed to excess consumption by stimulating demand and lowering the cost of alcohol. It also led to concentration in some alcohol industries, expecially brewing. In recent years the emergence of craft producers has countered firm concentration and the homogenization of alcoholic beverages. Meanwhile, governments have intervened extensively in alcohol markets to reduce excessive consumption, raise taxes, protect domestic industries and/or ensure competition. These regulations have contributed to, and been affected by, evolving patterns of consumption and changing structures of alcohol industries.
    Keywords: Globalization of preferences; Convergence of national beverage consumption mix; Alcohol and health; Restrictions on alcohol consumption and production; Beverage firm concentration
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:lic:licosd:40118&r=agr
  23. By: White, Cody; Vassalos, Michael; Smith, Nathan
    Abstract: South Carolina is the 2nd largest peach producing state in the United States, which in turn makes the peach industry a major contributor to the state’s economy ranking 8th in production value in 2016. According to the South Carolina Department of Agriculture (SCDA), the peach industry annually has up to a $300 million impact to the South Carolina economy and has an annual value of nearly $70 million. An unseasonably warm winter at the beginning of 2017 produced an early bloom for the peach crop causing severe damage when record low temperatures occurred in March. Original estimations from the SCDA indicated that about 85-90% of the state’s peach crop was destroyed due to the freeze. The objective of the paper is to determine the economic impact that occurred to the South Carolina peach industry and to the state’s economy due to the freeze. In particular, losses will be examined in both consumer and producer surplus. The data is obtained from farmers’ responses to surveys and from the USDA National Agricultural Statistics Service. Also, the regional economic analysis from the loss is determined using IMPLAN input-output models.
    Keywords: Agribusiness, Agricultural and Food Policy, Community/Rural/Urban Development
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266717&r=agr
  24. By: Crane-Droesch, Andrew; Marshall, Elizabeth; Riddle, Anne; Rosch, Stephanie D.; Cooper, Joseph C.; Wallander, Steven
    Keywords: Natural Resource Economics, Risk and Uncertainty, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274292&r=agr
  25. By: Potter, Nicholas; Brady, Michael P.; Rajagopalan, Kirti
    Keywords: Production Economics, Research Methods/Econometrics/Stats, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274347&r=agr
  26. By: Bocci, Corinne F.; Lupi, Frank; Sohngen, Brent
    Keywords: Environmental and Nonmarket Valuation, Resource and Environmental Policy Analysis, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274011&r=agr
  27. By: Bertone Oehninger, Ernst; Lin Lawell, C.-Y. Cynthia; Sanchirico, James N.
    Keywords: Resource and Environmental Policy Analysis, International Trade, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274439&r=agr
  28. By: Watkins, K. Bradley; Mane, Ranjitsinh U.; McClung, Anna
    Abstract: Several studies evaluate the agronomics of crop cultivars grown under both organic and conventional management. Most studies focus on yield differences or mean yield rankings between conventional and organic management. Their findings have been mixed for the most part. None of these studies use economic analysis to identify the best cultivars for either system. This study uses simulation and stochastic efficiency with respect to a function (SERF) to obtain ordinal rankings of rice cultivars for both organic and conventional management based on risk efficiency. The SERF analysis reveals the most dominant cultivars grown under conventional management do not match the most dominant cultivars grown under organic management. These results imply that rice cultivars ideal for conventional systems may not be ideal for organic systems, and that rice cultivars used in organic production systems should be adapted to organic rather than conventional management.
    Keywords: Risk and Uncertainty
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266587&r=agr
  29. By: Darbandi, Elham; Saghaian, Sayed
    Abstract: Keeping global temperature rises below two degrees Celsius is a targeted international community goal. The literature suggests that it is important to explicitly consider the consumption side, as well as the production side to achieve this goal. However, the lack of awareness among the public related to the linkage of the livestock sector and climate change may hinder consumers to change their consumption behavior to reduce Green House Gas (GHG) emissions. This study has two purposes. First, we quantify the environmental loading of U.S. beef sector by calculating emission levels over the period of 1990-2017. Beef cattle is one of the most emission-intensive sectors, which is responsible for 54% of total GHGs from livestock. Following International Panel on Climate Change (IPCC) guideline, we identify three sources of emissions, including enteric fermentation, manure management, and manure left on pastures. Second, we provide an understanding of consumption-environmental connection related to the beef industry. This knowledge might help to avoid the catastrophic climate change consequences in the future.
    Keywords: Agribusiness, Agricultural and Food Policy, Livestock Production/Industries
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266680&r=agr
  30. By: Claassen, Roger; Bowman, Maria; McFadden, Jonathan; Smith, David; Wallander, Steven
    Abstract: Reducing tillage and increasing soil cover can enhance soil health. Conservation tillage, particularly no-till or strip-till, used in conjunction with soil cover practices (like conservation crop rotations and cover crops) can lead to a range of soil health benefits: improved agricultural productivity, greater drought resilience, and better environmental outcomes. This report uses field-level data to estimate tillage practice adoption based on soil disturbance as measured by absence of tillage operations (for no-till) and the Soil Tillage Intensity Rating (STIR, for mulch till). To gauge the intensity of tillage over time, we estimate the number of years no-till or strip-till are used over a 4-year period. Rates of adoption for practices that affect soil cover—including conservation crop rotations, cover crops, double cropping, fallowing, and residue harvest or grazing—are also estimated. The rates at which these practices are adopted in conjunction with no-till/strip-till are also estimated to illustrate interactions between tillage and practices that affect soil cover.
    Keywords: Crop Production/Industries
    URL: http://d.repec.org/n?u=RePEc:ags:uersib:277566&r=agr
  31. By: Sohngen, Brent; Favero, Alice; Jin, Yufang; Huang, Yuhan
    Keywords: Natural Resource Economics, Resource and Environmental Policy Analysis, Environmental and Nonmarket Valuation
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274307&r=agr
  32. By: Aborisade, Olumide; Carpio, Carlos E.
    Abstract: This study examines the impact of non-farm work on both household income and food security status among a sample of farm households. We use the Nigerian General Household Survey Panel, a representative survey of 5,000 urban and rural households. Sixty-seven percent of households reported engaging in non-farm activities. Extant studies on non-farm work have mostly examined its poverty implications for households in Albania, Ghana, etc. There is a paucity of such studies on Nigeria. To fill this research gap, we examined first, whether non-farm employment improved or worsened Nigerian households’ income levels. Previous studies suggest that engagement in non-farm work have the effect of stabilizing and oftentimes increasing household income. Furthermore, we explored the use of non-farm income. Whether or not households employed this income for food expenditures (thus improving household food security status) or re-investment in farm enterprise. We analyze the impact of non-farm work by using a propensity score model in order to account for self-selection bias that occurs when unobserved factors influence the household’s decision to participate in non-farm work, household income and food security status. The paper also examines the effect of gender heterogeneity in non-farm work on household income and food security.
    Keywords: Agribusiness, Consumer/Household Economics, Production Economics
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266869&r=agr
  33. By: Sun, Shanxia; Gramig, Ben; Delgado, Michael
    Keywords: Resource and Environmental Policy Analysis, Natural Resource Economics, Environmental and Nonmarket Valuation
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274456&r=agr
  34. By: Caillavet, France; Fadhuile, Adelaide; Nichèle, Véronique
    Keywords: Food and Agricultural Policy Analysis, Resource and Environmental Policy Analysis, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273860&r=agr
  35. By: Ji, Xinde; Cobourn, Kelly M.; Weng, Weizhe
    Keywords: Natural Resource Economics, Resource and Environmental Policy Analysis, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274306&r=agr
  36. By: Kitchel, Hannah; Boehm, Rebecca L.; Cash, Sean B.
    Keywords: Food and Agricultural Marketing, Environmental and Nonmarket Valuation, Food Safety and Nutrition
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274067&r=agr
  37. By: Bairagi, Subir K.; Bhandari, Humnath; Das, Subrata; Mohanty, Samarendu
    Keywords: Production Economics, Resource and Environmental Policy Analysis, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274356&r=agr
  38. By: Grant, Kara R.; Gallardo, R. Karina; McCluskey, Jill J.; Mandal, Bidisha
    Keywords: Food and Agricultural Policy Analysis, Demand and Price Analysis, Environmental and Nonmarket Valuation
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273833&r=agr
  39. By: Lehnerd, Megan; Sacheck, Jennifer M.; Griffin, Tim; Goldberg, Jeanne P.; Cash, Sean B.
    Keywords: Food Safety and Nutrition, Food and Agricultural Marketing, Ag Finance and Farm Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273893&r=agr
  40. By: Ibrahim, Mohammed; Liu, Xuanli; Pattanaik, Nalini
    Abstract: Dairy farming remains a very significant agricultural sector in the Southeast and it is very essential for dairy farmers to provide their cattle with quality feed that benefit cattle’s health and milk production. Cattle farmers practice different types of cattle feeding such as: confinement feeding, management intensive grazing (MIG), or traditional grazing; however, many researchers advocate for MIG practices for its many benefits. A dairy farmer survey was conducted in Georgia and Florida and a generalized logit model used to examine the factors that affect the adoption of MIG. The results showed that the farm herd size, numbers of years in key management, age, farmer’s education, and farmer’s off farm work affect the adoption of MIG.
    Keywords: Farm Management
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266699&r=agr
  41. By: Kafle, Kashi; Paliwal, Neha; Benfica, Rui
    Keywords: International Development, Agribusiness Economics and Management, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274257&r=agr
  42. By: Dong, Qi; Murakami, Tomoaki; Nakashima, Yasuhiro
    Keywords: Household and Labor Economics, Behavioral & Institutional Economics, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274161&r=agr
  43. By: Ali, Amjad; Zulfiqar, Kalsoom
    Abstract: Mostly, economists believe that due to non-existence of agglomeration economies, there are less chances of employment spatial distribution in an economy. Following the strands of previous literature about agglomeration special impacts, this study has uplifted the curtain from some interesting realities. This study has examined the association between unemployment and natural resources agglomeration in Pakistan from 1980 to 2016. For measuring natural resources agglomeration, an index has been constructed based on coal production, oil production, forest area and agricultural land as a percentage of total land area. The study utilized autoregressive distributed lag (ARDL) method of co-integration. The results show that natural resources agglomeration, secondary school enrollment, foreign direct investment and inflation have a negative and significant impact on unemployment in Pakistan. The results reveal that population is putting a positive impact on unemployment in Pakistan. The study finds that natural resources agglomeration is an important factor for reducing unemployment in Pakistan. There are some other factors for agglomeration economies, i.e. Local economic policies, natural resources availability and amount of manpower for employment spatial distribution in Pakistan. So, efforts are needed to mega scale for exploration, proper usage and the functioning of natural resources in Pakistan.
    Keywords: unemployment, natural resources, inflation, foreign direct investment
    JEL: E24 N50 P24
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:89022&r=agr
  44. By: Golub, Alla; Sohngen, Brent; Cai, Yongyang; Hertel, Thomas W.; Kim, John
    Keywords: Resource and Environmental Policy Analysis, Natural Resource Economics, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274407&r=agr
  45. By: Massimo Bordignon (Università Cattolica del Sacro Cuore; Dipartimento di Economia e Finanza, Università Cattolica del Sacro Cuore); Di Xiang; Lue Zhan
    Abstract: We study the impact of a hypothetical tax on sugar - sweetened beverages (SSBs) on the US households’ nutrients purchase, welfare change, and health benefit. Differently from the traditional approach, Food at Home(FAH) is here defined as a “home” good instead than a market good and consumers’ demands derived under the assumption that households maximize utility subject to both a money and a time constraint. The model is estimated by using an incomplete approximate Exact Affine Stone Index (EASI) demand system on a data set built by merging the most recent waves of the US consumer expenditure and time use surveys. Results show that a SSB tax would be much more effective in decreasing household nutrients purchase than it would appear by estimating a model neglecting time costs in home food production. A tax induced increased in SSB price by 20% is predicted to decrease the per capita energy purchase by 29.17 kcal/day. The annual health benefits of the tax, measured only in terms of reduced medical expenditure, would overcome estimated welfare losses by more than $400 million.
    Keywords: Sugar-sweetened beverage tax, Obesity, Household Production.
    JEL: D12 D13 I18
    Date: 2018–09
    URL: http://d.repec.org/n?u=RePEc:ctc:serie1:def075&r=agr
  46. By: Ajewole, Kayode; Griffin, Terry
    Abstract: Despite the steady rise of farm income between 2010 and 2014, farm income has dropped drastically in the past two years. Does the latest volatility in farm income have immediate effect on family living expenses (FLE) or does it take several years detect lagged adjustments? We applied the autoregressive distributed lag model (ARDL) to access the relationship between past net farm income (NFI) and present FLE among Kansas farm households. We assumed a linear function between family living expenses and both the present and lagged values of NFI. We used 23 years (1993 – 2015) of Kansas Farm Management Association (KFMA) data on farmers’ net farm income and family living expenses. Our hypothesis is that farm household income will have a long run impact on the household’s living expenses. Preliminary results indicate that farm household income has only immediate effect on the farm living expenses when NFI is increasing. When NFI is decreasing, the lagged response between NFI and FLE increases. A good forecast of farm living expenses using past and current farm household income will be useful for making better policy adjustment towards the farm living households during poor farm years.
    Keywords: Community/Rural/Urban Development
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266718&r=agr
  47. By: Davidson, Kelly A.; Kropp, Jaclyn D.; Mullally, Conner C.; Rahman, M. Wakilur
    Keywords: Behavioral & Institutional Economics, International Development, Food and Agricultural Marketing
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274134&r=agr
  48. By: Dharmasena, Senarath; Capps, Oral
    Keywords: Food and Agricultural Marketing, Demand and Price Analysis, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274052&r=agr
  49. By: Castillo, Marcelo J.; Low, Sarah A.; Thilmany McFadden, Dawn D.
    Keywords: Rural/Community Development, Food and Agricultural Marketing, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274484&r=agr
  50. By: Yang, Tingyi; Dharmasena, Senarath
    Abstract: Dairy alternative beverage market in the United States has been growing over the past decade. Although almond milk and soymilk are the fastest growing categories, there exist numerous other products such as coconut milk, rice milk, cashew nut milk, hazelnut milk, etc. There are well-known national brands as well as not-so-well-known private label and store brands that compete among dairy alternative beverages. These firms compete strategically for market share by differentiating their products by brand, price, advertising, promotion, positioning and merchandising. Using market level weekly purchase data from 2015 Nielsen scanner panel, price cost margins and market power of different brands is estimated assuming the presence of pure strategy Bertrand-Nash equilibrium in prices. Demand parameters are estimated using attribute space hedonic metric approach within the Barten synthetic demand model. Hedonic variables with regards to product attributes such as calorie, fat, protein, calcium and other nutrients are used to estimate demand elasticities using qualitative factor distances within the hedonic matrix of parameters associated with attributes. Preliminary analysis revealed own-price demand elasticities of soymilk, almond milk, and coconut milk at -1.13, -0.5, and 0.46. These are used to calculate price cost margins under various industry structures (such as in Nevo, 2000).
    Keywords: Industrial Organization, Marketing
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266630&r=agr
  51. By: Brown, Mark; Ferguson, Shon; Viju, Crina
    Keywords: Productivity Analysis and Emerging Technologies, International Trade, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274381&r=agr
  52. By: Mogues, Tewodaj; Mueller, Valerie A.; Kondylis, Florence
    Keywords: International Development, Teaching, Communication, and Extension, Experimental Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274228&r=agr
  53. By: Kuhlgatz, Christian H.; Huang, Jiaqi; Antonides, Gerrit; Nie, Fengying
    Keywords: Demand and Price Analysis, Food Safety and Nutrition, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273988&r=agr
  54. By: Dumortier, Jerome; Elobeid, Amani E.; Carriquiry, Miguel A.
    Keywords: Food and Agricultural Policy Analysis, International Trade, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273875&r=agr
  55. By: Shew, Aaron Michael; Mondal, Manoranjan; Yadav, Sudhir; Jagadish, S.V. Krishna; Bhandari, Humnath; Nalley, Lawton Lanier
    Keywords: Food Security and Poverty
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266591&r=agr
  56. By: Chen, Yi; McCallister, Donna; Johnson, Philip; Baxter, Lisa; West, Chuck
    Keywords: Crop Production/Industries
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266679&r=agr
  57. By: Bell, Kathleen P.; Crandall, Mindy; Munroe, Darla K.; Colocousis, Chris; Morzillo, Anita
    Keywords: Rural/Community Development, Resource and Environmental Policy Analysis, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274499&r=agr
  58. By: Valcu-Lisman, Adriana M.; Ji, Yongjie; Kling, Catherine L.; Arbuckle, J. Gordon
    Keywords: Resource and Environmental Policy Analysis, Risk and Uncertainty, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274414&r=agr
  59. By: Daigneault, Adam J.; Johnston, Craig; Baker, Justin S.; Latta, Gregory
    Keywords: Natural Resource Economics, Resource and Environmental Policy Analysis, International Trade
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274308&r=agr
  60. By: Segovia, Michelle; Palma, Marco A.; Nayga, Rodolfo M.
    Keywords: Experimental Economics, Food and Agricultural Policy Analysis, Behavioral & Institutional Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274038&r=agr
  61. By: Pokharel, Krishna P.; Featherstone, Allen M.; Archer, David W.
    Abstract: This study examined the impact of downside risk on cost efficiency (CE) and revenue efficiency (RE) for a sample of agricultural cooperatives. Downside risk is an appropriate measure of risk as it accounts for loss below the target return level regardless of individuals’ risk preference. The semi-variance of return on equity was used a measure of downside risk. CE and RE were estimated using data envelopment analysis (DEA) without adjusting for downside risk and then re-estimated adjusting for downside risk. The average CE and RE scores were higher with the inclusion of downside risk than the scores without downside risk. The DEA method without accounting for risk overestimates inefficiency and may misguide managers on adjustments needed to improve performance.
    Keywords: Agribusiness, Agricultural Finance
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266729&r=agr
  62. By: Yu, Charng-Jiun; Du, Xiaodong; Phaneuf, Daniel J.
    Keywords: Resource and Environmental Policy Analysis, Agribusiness Economics and Management, Ag Finance and Farm Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274428&r=agr
  63. By: Pokharel, Krishna; Archer, David W.; Featherstone, Allen M.
    Keywords: Ag Finance and Farm Management, Agribusiness Economics and Management, Risk and Uncertainty
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274109&r=agr
  64. By: Henson, Chloe D.; Collart, Alba J.; Interis, Matthew G.; Maples, Josh
    Keywords: Experimental Economics, Behavioral & Institutional Economics, Food and Agricultural Marketing
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274036&r=agr
  65. By: Hueth, Brent M.; Hutchins, Jared; Hutchins, Jared
    Keywords: Productivity Analysis and Emerging Technologies, Ag Finance and Farm Management, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274384&r=agr
  66. By: Fan, Yubing; Park, Seong C.
    Abstract: To extend the economic life of the Ogallala Aquifer, policy makers and stakeholders have considered and implemented several water conservation policies. Starting with an empirical study by Segarra and Feng (1994), the inter-temporal dynamic approach has been adopted in literature to evaluate impacts of these policies in the region. To integrate the findings and make comparable evaluations, we conducted a meta-analysis of the literature. After a systematic identification and screening of relevant publications including journal articles, meeting papers and reports, the meta-analysis included 19 studies focusing on nine major water conservation polices, including irrigation technology adoption, water use restriction, biotechnology, permanent and temporary conversion to dryland production. The average number of policies analyzed by the literature was 3.33, and more than 60% of the studies included one or more counties in the Southern High Plains region of Texas. The average planning horizon was 52 years. The estimated average decrease of saturated thickness was 59 feet. The economic impacts of these policies were significantly different in each study.
    Keywords: Production Economics, Resource /Energy Economics and Policy
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266656&r=agr
  67. By: Rünzel, Max Allan Siegfried; Han, Doo Bong
    Abstract: This study aims at evaluating agricultural co-operative performance in Korea based on financial data vis-à-vis trade liberalisation after subsequent Free Trade Agreements. With the help of the Du Pont expansion method this paper examines the financial performance and its drivers for 1,060 agricultural primary Korean co-operatives between 2012 and 2016 within the Korean National Agricultural Cooperatives Federation. Subsequently, we estimate the effect of the producer protection ratio, agricultural export and import volumes, co-operative size and world food prices on co-operatives' net profit margins, total asset turnovers and equity multipliers. The empirical results show that trade liberalisation has an ambiguous effect on agricultural co-operatives. Increased exports have a positive effect on the co-operatives' return on equity and profitability while imports have a reducing effect. Greater import and export volumes do not result in significant effects on efficiency and solvency. This study provides valuable lessons for countries seeking to alleviate external shocks on farm income and the rural economy following trade liberalisation by emphasising strong co-operative structures, as benefits and bottlenecks of the co-operative organisational structure are displayed.
    Keywords: Agricultural Finance, International Relations/Trade
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266571&r=agr
  68. By: Ge, Houtian; Goetz, Stephan J.; Cleary, Rebecca; Gomez, Miguel I.
    Keywords: Production Economics, Research Methods/Econometrics/Stats, Industrial Org./Supply Chain Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274333&r=agr
  69. By: McKee, Brandon; Lamm, Alexa; McFadden, Brandon
    Abstract: This study sought to gauge Florida’s consumers’ willingness to pay for protecting the future of Florida’s water supply from 2013 to 2016. This study used a value approach for estimating consumer’s willingness to pay for a 10 percent and a 50 percent increase in their water bill. The study also sought to identify dissonance between Florida’s consumers to determine influencers of their willingness to pay. The study found an increasing percentage of consumers willing to support the protection of Florida’s water supply since 2013. As well, income was a common factor influencing respondent’s willingness to pay. Knowing this dissonance can help decision makers make informed polices and regulations about future water conservation strategies for the future.
    Keywords: Environmental Economics and Policy
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266590&r=agr
  70. By: Ordoñez, Pablo J.; Baylis, Kathy; Ramirez, Isabel
    Keywords: Natural Resource Economics, Behavioral & Institutional Economics, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274319&r=agr
  71. By: Liu, Hongxing; Zhang, Wendong; Irwin, Elena G.
    Keywords: Resource and Environmental Policy Analysis, Environmental and Nonmarket Valuation, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274426&r=agr
  72. By: Boyer, Christopher M.; McFarlane, Zach McFarlane; Mulliniks, Travis; Griffith, Andrew P.
    Keywords: Ag Finance and Farm Management, Risk and Uncertainty, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274107&r=agr
  73. By: Derek Lemoine
    Abstract: I formally relate the consequences of climate change to time series variation in weather. First, I show that the effects of climate change on adaptation investments can be bounded from below by estimating responses to weather outcomes. The bound becomes tighter when also estimating responses to forecasts. Second, I show that the marginal effect of climate change on long-run payoffs is identical to the average effect of transient weather events. Instead of estimating the marginal effect of weather within distinct weather bins, empirical work should estimate the average effect of weather within each climate.
    JEL: D84 H43 Q54
    Date: 2018–09
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:25008&r=agr
  74. By: Shoghi Kalkhoran, Sanaz; White, Benedict; Polyakov, Maksym; Chalak, Morteza; Mugera, Amin William; Pannell, David J.
    Keywords: Production Economics, Ag Finance and Farm Management, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274340&r=agr
  75. By: Onozaka, Yuko; Saue, Vegar Veseth; Costanigro, Marco
    Keywords: Food and Agricultural Marketing, Food and Agricultural Policy Analysis, Food Safety and Nutrition
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274068&r=agr
  76. By: Kwon, Ji-soo; Kim, So-Jin; Kim, Hyeon-woong; Yoo, Do-il
    Keywords: Environmental and Nonmarket Valuation, Food and Agricultural Marketing, Industrial Org./Supply Chain Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274006&r=agr
  77. By: Bhattacharya, Rudrani; Sen Gupta, Abhijit
    Abstract: Average food inflation in India during 2006 to 2013 was one of the highest among emerging market economies, and nearly double the inflation witnessed in India during the previous decade. In this paper, we analyse the behavior and determinants of food inflation over the recent past. Our main findings include that recent surge in food inflation in India is a result of various factors. On the cost side, agricultural wage inflation is found to be a universal driver of food commodities inflation, as well as the aggregate food inflation. The contribution of agricultural wages has increased significantly in the post MGNREGA era. Fuel inflation has a moderate impact on food inflation and the effects vary across commodities. Our analysis indicates limited role of fuel and international prices, except for in tradeables. Finally, results suggest significant pass-through effects from food to non-food and to the headline inflation.
    Keywords: Food inflation, India, Agricultural wage growth, SVAR, SVECM
    JEL: E31 E37
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:88721&r=agr
  78. By: Dong, Diansheng; Zheng, Yuqing; Stewart, Hayden
    Keywords: Food and Agricultural Policy Analysis, Demand and Price Analysis, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273829&r=agr
  79. By: Queiroz, Pedro; Silva, Felipe; Fulginiti, Lilyan E.
    Keywords: Resource and Environmental Policy Analysis, Productivity Analysis and Emerging Technologies, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274437&r=agr
  80. By: Ma, Meilin; Saitone, Tina L.; Volpe, Richard J.; Sexton, Richard J.; Saksena, Michelle
    Keywords: Industrial Org./Supply Chain Management, Food and Agricultural Policy Analysis, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274205&r=agr
  81. By: Tang, Minfeng; Thompson, Nathanael M.; DeLong, Karen L.; Lambert, Dayton M.; Griffith, Andrew P.; Boyer, Christopher M.
    Keywords: Production Economics, Ag Finance and Farm Management, Risk and Uncertainty
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274327&r=agr
  82. By: Mojduszka, Eliza M.
    Keywords: Natural Resource Economics, Resource and Environmental Policy Analysis, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274294&r=agr
  83. By: Narayan, Tulika; Geyer, Judy; Hausdorff, Kate; Bell, Stephen
    Keywords: International Development, Food Safety and Nutrition, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274215&r=agr
  84. By: Embaye, Weldensie T.; Bergtold, Jason S.; Schwab, Benjamin; Zereyesus, Yacob A.
    Keywords: International Development, Production Economics, Productivity Analysis and Emerging Technologies
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274226&r=agr
  85. By: Bairagi, Subir K.; Gustafson, Christopher R.; Custodio, Marie; Ynion, Jhoanne; Demont, Matty
    Keywords: Food and Agricultural Marketing, Food and Agricultural Policy Analysis, Food Safety and Nutrition
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274055&r=agr
  86. By: Huang, Jiaqi; Antonides, Gerrit; Kuhlgatz, Christian H.; Nie, Fengying
    Keywords: Demand and Price Analysis, Behavioral & Institutional Economics, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273986&r=agr
  87. By: Benito Amaro, I.
    Abstract: This paper presents a theoretical model to analyze the incentives for protecting soil productivity in presence of separation of property and control in agricultural land. Using a dynamic model of contracts between the landlords and operators we analyze the incentives of different type of contracts (fixed rate contracts or sharecropping contracts) and their potential impact on soil conservation. The main research question of this paper is: do landlords and tenants have conflicting incentives regarding soil conservation? Our theoretical results are consistent with previous empirical literature that find that, depending on the contract specifications, there are no conflicting incentives.
    Keywords: Agricultural and Food Policy, Land Economics/Use
    Date: 2018–07
    URL: http://d.repec.org/n?u=RePEc:ags:iaae18:275871&r=agr
  88. By: Hasan, Mohammad Rajib; Paudel, Krishna P.; Bampasidou, Maria; Bhandari, Humnath
    Keywords: Community/Rural/Urban Development, Crop Production/Industries, Farm Management, Food Security and Poverty, Production Economics, Productivity Analysis, Research Methods/ Statistical Methods
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266641&r=agr
  89. By: Mallika Appuhamilage, Buddhika P.; Tonsor, Glynn T.; Tack, Jesse B.
    Keywords: Production Economics, Agribusiness Economics and Management, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274346&r=agr
  90. By: Wu, Yu; Mullan, Katrina; Biggs, Trent; Caviglia-Harris, Jill L.; Harris, Daniel; Sills, Erin O.
    Keywords: Environmental and Nonmarket Valuation, Natural Resource Economics, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274012&r=agr
  91. By: Liu, Jing; Hertel, Thomas W.; Kucharik, Christopher; Baldos, Uris Lantz C.; Jarvis, Larissa; Ramankutty, Navin
    Keywords: Resource and Environmental Policy Analysis, Natural Resource Economics, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274427&r=agr
  92. By: Srivastava, Lorie; Hand, Michael S.; Kim, John
    Keywords: Natural Resource Economics, Environmental and Nonmarket Valuation, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274323&r=agr
  93. By: Cakir, Metin; Beatty, Timothy; Park, Timothy A.
    Keywords: Food and Agricultural Marketing, Demand and Price Analysis, Industrial Org./Supply Chain Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273825&r=agr
  94. By: Jagnani, Maulik; Barrett, Christopher B.; Liu, Yanyan; You, Liangzhi
    Keywords: International Development, Environmental and Nonmarket Valuation, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274241&r=agr
  95. By: Asioli, Daniele; Bazzani, Claudia; Nayga, Rodolfo M.
    Keywords: Food and Agricultural Marketing, Agribusiness Economics and Management, Behavioral & Institutional Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274066&r=agr
  96. By: Lambert, Lixia He; English, Burton C.; Clark, Christopher D.; Lambert, Dayton M.; Boyer, Chris; Smith, Aaron; Papnicolaou, Thanos; Hellwinckel, Chad M.
    Keywords: Resource /Energy Economics and Policy
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266559&r=agr
  97. By: Bir, Courtney L.; Lai, John; Widmar, Nicole; Thompson, Nathanael M.; Ellett, Jodee
    Keywords: Food and Agricultural Marketing, Experimental Economics, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274054&r=agr
  98. By: Zare Mehrjerdi, Mahla; Rossi, Jairus; Davis, Alison; Woods, Timothy A.
    Keywords: Food and Agricultural Marketing, Behavioral & Institutional Economics, Experimental Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274062&r=agr
  99. By: Zeng, Shuwei; Du, Xiaodong; Gould, Brian W.
    Keywords: Environmental and Nonmarket Valuation, Productivity Analysis and Emerging Technologies, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274001&r=agr
  100. By: C., Apar G.; Ghimire, Rajan; Blayney, Don; Acharya, Ram N.
    Abstract: This study evaluates the potential of using cover crop to enhance yield and farm profitability using experimental data from Clovis Agricultural Research Center, New Mexico. The analysis includes seven different combinations of cover crops and one fallow treatment as a control. The Monte Carlo simulations results show that a cover crop treatment that includes a mixture of six crops (6XM) yields highest net return, while the treatment that uses only canola provides a least risky option.
    Keywords: Crop Production/Industries
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266735&r=agr
  101. By: Li, Yijia; Khanna, Madhu; Miao, Ruiqing
    Keywords: Natural Resource Economics, Resource and Environmental Policy Analysis, Environmental and Nonmarket Valuation
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274289&r=agr
  102. By: Liu, Pengfei; Swallow, Stephen K.
    Abstract: Credit stacking involves the sale of multiple types of environmental credits from a single, spatially defined project. The practice is controversial because environmental advocates suspect (a) producers may undermine the principle of additionality by extracting unearned profits through the sale of by-products from actions taken based on the incentives for a single credit-type, (b) society may lose the opportunity for free environmental improvements when complementary or joint production creates such by-products, or (c) broader environmental quality may decline by allowing polluters’ cheaper or easier compliance with off-set requirements, weakening incentives to avoid initiating degradation. Previous research ignores producers’ potential responses when the credit stacking policy changes. This paper offers a framework to analyze the interaction between credit stacking policy and producers’ choices—especially regarding their choice of production technology—and the implications for the relative advantages of alternative stacking policies for environmental markets.
    Keywords: Agricultural and Food Policy, Environmental Economics and Policy, Production Economics
    Date: 2018–07
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274846&r=agr
  103. By: Liu, Pengfei; Wang, Yu; Zhang, Wei
    Keywords: Natural Resource Economics, Resource and Environmental Policy Analysis, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274311&r=agr
  104. By: Lee, Gi-Eu; Rollins, Kimberly S.; Singletary, Loretta
    Keywords: Natural Resource Economics, Production Economics, Behavioral & Institutional Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274321&r=agr
  105. By: Roe, Brian E.; Interis, Matthew G.; Howard, Gregory E.
    Keywords: Environmental and Nonmarket Valuation, Resource and Environmental Policy Analysis, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274017&r=agr
  106. By: Luo, Yufeng; Chen, Feifei; Qiu, Huanguang
    Keywords: Production Economics, Productivity Analysis and Emerging Technologies, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274364&r=agr
  107. By: Boyer, Christopher M.; McFarlane, Zach McFarlane; Mulliniks, Travis; Griffith, Andrew P.
    Keywords: Ag Finance and Farm Management, Production Economics, Risk and Uncertainty
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274108&r=agr
  108. By: Sun, Shanxia; Hertel, Thomas W.; Valqui, Brayam; Webster, Mort
    Keywords: Natural Resource Economics, Resource and Environmental Policy Analysis, Environmental and Nonmarket Valuation
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274290&r=agr
  109. By: Ge, Houtian; Gomez, Miguel I.; Richards, Timothy J.
    Keywords: Food and Agricultural Marketing, Food and Agricultural Policy Analysis, Behavioral & Institutional Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273819&r=agr
  110. By: Rusiana, Hofner D.; Escalante, Cesar L.; Brewer, Brady E.; Dodson, Charles B.
    Keywords: Agribusiness Economics and Management, Ag Finance and Farm Management, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273782&r=agr
  111. By: Cho, Seungyeon; Ishdorj, Ariun; Gregory, Christian A.
    Keywords: Food and Agricultural Policy Analysis, Household and Labor Economics, Food Safety and Nutrition
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273849&r=agr
  112. By: Kim, Jongwoo; Mason, Nicole M.; Snapp, Sieglinde S.
    Keywords: Food Safety and Nutrition, International Development, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273906&r=agr
  113. By: Xie, Zhongmin; Zhu, Xinkai; Lopez, Rigoberto A.; Lin, Chungui
    Keywords: International Trade, International Development, Agribusiness Economics and Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274278&r=agr
  114. By: Srivastava, Lorie; Hand, Michael; Kim, John; Sánchez, José J.
    Keywords: Resource /Energy Economics and Policy
    Date: 2018–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274840&r=agr
  115. By: Ji, Chen; Chen, Shuai; Jin, Songqing
    Keywords: Food and Agricultural Policy Analysis, Resource and Environmental Policy Analysis, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273863&r=agr
  116. By: Mishra, Khushbu; Gallenstein, Richard; Sam, Abdoul G.; Miranda, Mario J.
    Keywords: International Development, Risk and Uncertainty, Experimental Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274251&r=agr
  117. By: Snyder, Jason E.; Smart, Jennifer C.; Goeb, Joseph C.; Tschirley, David L.
    Keywords: Food Safety and Nutrition, Resource and Environmental Policy Analysis, Food and Agricultural Marketing
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273900&r=agr
  118. By: Musa, Anne; Carpio, Carlos; Williams, Ryan; Boonsaeng, Tullaya; Lyford, Conrad
    Keywords: Food Security and Poverty
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266672&r=agr
  119. By: Wrenn, Douglas H.; Klaiber, Allen; Newburn, David
    Keywords: Environmental and Nonmarket Valuation, Natural Resource Economics, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274029&r=agr
  120. By: Bonanno, Alessandro; Bimbo, Francesco; Costanigro, Marco; VIscecchia, Rosaria
    Keywords: Industrial Org./Supply Chain Management, Food and Agricultural Marketing, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274203&r=agr
  121. By: Smart, Jennifer C.; Tschirley, David L.; Smart, Francis C.
    Keywords: Food and Agricultural Policy Analysis, International Development, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273835&r=agr
  122. By: Levers, Lucia; Pradhananga, Amit; Peterson, Jeffrey M.
    Keywords: Environmental and Nonmarket Valuation, Resource and Environmental Policy Analysis, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274013&r=agr
  123. By: Susie Lonie; Meritxell Martinez; Rita Oulai; Christopher Tullis
    Keywords: Agriculture - Agricultural Sector Economics Agriculture - Crops & Crop Management Systems Finance and Financial Sector Development - Access to Finance Finance and Financial Sector Development - Banks & Banking Reform Information and Communication Technologies - ICT Economics
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:wbk:wboper:30203&r=agr
  124. By: Bhuiyanmishu, Siddika; Palm-Forster, Leah H.; Li, Tongzhe
    Keywords: Experimental Economics, Natural Resource Economics, Environmental and Nonmarket Valuation
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274045&r=agr

General information on the NEP project can be found at https://nep.repec.org. For comments please write to the director of NEP, Marco Novarese at <director@nep.repec.org>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.