nep-agr New Economics Papers
on Agricultural Economics
Issue of 2018‒10‒15
124 papers chosen by



  1. Measuring GHG Emissions Across the Agri-Food Sector Value Chain: The Development of BIO - a Bio-economy Input- Output Model By Cathal O’Donoghue; Aksana Chyzheuskaya; Eoin Grealis; William Finnegan; Jamie Goggin; Stephen Hynes1; Kevin Kilcline; Mary Ryan
  2. Food for Fuel: The Effect of the US Biofuel Mandate on Poverty in India By Chakravorty, Ujjayant; Hubert, Marie-Helene; Ural Marchand, Beyza
  3. Economic evaluation of selected agricultural policy instruments in the light of the model of overproduction on the cereal market By Dacko, Mariusz; Plonka, Aleksandra
  4. Redirecting investment for a global food system that is sustainable and promotes healthy diets By Bianchi, Eduardo; Bowyer, Catherine; Morrison, J. A.; Vos, Rob; Wellesley, Laura
  5. Profitability and Economic Feasibility Analysis of Small Scale Irrigation Technologies in northern Ghana By Balana, Bedru; Bizimana, Jean-Claude; Richardson, James W.; Lefore, Nicole; Adimassu, Zenebe; Herbst, Brian K.
  6. An economic comparison of adaptation strategies towards a drought-induced risk of forest decline. By Sandrine Brèteau-Amores; Marielle Brunette; Hendrik Davi
  7. Investigation of Farm Management Practices Among Small and Medium Size Farms in Kentucky By Barnett, Audrey; Gumirakiza, Jean Dominique
  8. Does Flexibility in Agricultural Input Subsidy Programs Improve Smallholder Crop Yields and Household Food Security? Evidence from Zambia By Tossou, Dagbegnon A.; Baylis, Kathy
  9. Impact of improved animal feeding practice on milk production, consumption and animal market participation in Tigrai, Ethiopia By Hadush, Muuz
  10. The impact of uncertainty in agriculture By GODEFROY, Raphaël; LEWIS, Joshua
  11. Role of regret in farmers’ land conversion choices: results from a dynamic economic experiment By Doidge, Mary; Hennessy, David A.; Feng, Hongli
  12. Factors Influencing Value of Agribusiness Firms Marketing Animal Proteins By Campbell, Victoria; Thompson, Jada M.
  13. Determinants of Food Security among Smallholder Farmers in Kenya By Rono, Patrick K.; Rahman, Shaikh Mahfuz; Devadoss , Stephen
  14. Impact of point of sales nutritional labels on food purchase: evidence from the rural Midwest By Karnik, Harshada; Peterson, Hikaru Hanawa
  15. Factors Affecting Broiler Livability: Implications for Animal Welfare & Food Policy By Salois, Matthew; Baker, Kristi
  16. Global Agricultural Supply Response to Persistent Price Shocks By Hendricks, Nathan P.; Smith, Aaron D.; Villoria, Nelson B.
  17. Impacts of contract farming decisions on high value crop production of smallholder Nepalese farmers: A multinomial endogenous switching regression approach By Khanal, Aditya R.; Mishra, Ashok K.
  18. Land Tenure Security and Non-Agricultural Sector Employment: Household-level Evidence from Uganda By Diarra, Lacina; Dessy, Sylvain
  19. The Reality of Food Losses: A New Measurement Methodology By Schuster, Monica; Delgado, Luciana; Torero, Maximo
  20. Quasi-Experimental Methods in Environmental Economics: Opportunities and Challenges By Deschenes, Olivier; Meng, Kyle C.
  21. Price Premia for Sustainability Characteristics in Foods: Measurement Matters! By Roland Herrmann; Katharina Bissinger; Lisa Krandick
  22. Productivity and Profitability of Precision Agriculture Technologies on Peanut Farms By Saavoss, Monica
  23. Do food processing firms benefit from food safety guidelines? Evidence from Ghana By Andam, Kwaw S.; Ragasa, Catherine R.; Asante, Seth
  24. Vertical coordination mechanisms and farm performance amongst smallholder rice farmers in northern Ghana By Abdul-Rahaman, Awal; Abdulai, Awudu
  25. Farmland rental values in GM soybean areas of Argentina : do contractual arrangements matter ? By Pascale Phelinas; Johanna Choumert
  26. Farmland values and bidder behavior in first-price land auctions By Odening, Martin; Huettel, Silke; Croonenbroeck, Carsten
  27. Spotlight on Spatial Environmental Policy Spillovers: An Econometric Analysis of Wastewater Treatment in Mexican Municipalities By Lutz Philip Hecker; Frank Wätzold; Gunther Markwardt
  28. Analysis of Consumer Perception of Product Attributes in Pet Food: Implications for Marketing and Brand Strategy By Hobbs, Lonnie; Shanoyan, Aleksan
  29. Heterogeneity of Farm Loan Packaging Term Decisions: A Finite Mixture Model Approach By Dhakal, Chandra K.; Escalante, Cesar L.
  30. Make up your mind: Comparing the stated and revealed nutritional choices of food pantry clients By Rolando, Dominique J.; Peterson, Hikaru Hanawa
  31. Climate Change, Agricultural Risk and the Development of Cooperatives By Ruan, Jianqing; Zhang, Huayan; Chen, Shuai
  32. Land Market Valuation of Groundwater Availability By Sampson, Gabriel; Hendricks, Nathan P.; Taylor, Mykel R.
  33. Decision Support for Economic and Environmental Impact of Tractor Guidance on Small Crop and Livestock Farms By Lindsay, Karen; Popp, Michael; Ashworth, Amanda; Owens, Phillip
  34. The competitiveness of French agri-food exports: a methodological and comparative approach By Cheptea, Angela; Huchet-Bourdon, Marilyne
  35. How public adaptation to climate change affects the government budget: A model-based analysis for Austria in 2050 By Gabriel Bachner; Birgit Bednar-Friedl; Nina Knittel
  36. The Impacts of Food Safety Modernization Act on Fresh Tomato Industry: An Application of a Two-Stage Geographic Import Demand System By Zhang, Lisha; Seale, James L.
  37. Profitability and Competition in EU Food Retailing By Lanter, David; Hirsch, Stefan; Finger, Robert
  38. Skill versus Voice in Local Development By Katherine Casey; Rachel Glennerster; Edward Miguel; Maarten Voors
  39. What Drives Dairy Farmer Antibiotic Treatment Decisions? By Jia, Yanan; Hennessy, David A.; Feng, Hongli
  40. Groundwater, Incomplete Regulation, and Climate Change: Micro-level Evidence on the Price Elasticity of Demand for Agricultural Groundwater By Bruno, Ellen; Jessoe, Katrina K.
  41. The impact of financial inclusion on rural food security experience: a perspective from low-and middle-income countries By Baborska, Renata; Hernandez-Hernandez, Emilio; Magrini, Emiliano; Morales-Opazo, Cristian
  42. Heterogeneous Impacts of Credit Rationing on Agricultural Productivity: Evidence from Kenya By Shee, Apurba; Pervez, Shadayen; Turvey, Calum G.
  43. The water productivity of internationally traded agricultural products By Cheptea, Angela; Laroche-Dupraz, Cathie
  44. Production Efficiency of Scaled-up Agricultural Operations in China: An Empirical Analysis By Wang, Yang; Dong, Fengxia; Xu, Jiabin
  45. Food Insecurity, Poverty, Unemployment and Obesity in the United States: Effect of (Not) Considering Back-Door Paths in Policy Modeling By Dharmasena, Senarath; Bessler, David A.
  46. What is the Impact on Average Return and Risk from Possible Changes in the Crop Insurance Program? By Jaromczyk, Jerzy; Davis, Todd; Mark, Tyler
  47. STRESS SCENARIO DEVELOPMENT: GLOBAL CHALLENGES FOR THE RUSSIAN AGRICULTURAL SECTOR By Ilya Kuzminov; Irina Loginova; Elena Khabirova
  48. The Impacts of the Food Stamp Program on Mortality By Jones, Jordan W.; Courtemanche, Charles; Marton, James
  49. SPS Measures and the Hazard Rate of Agricultural Exports: A Discrete-Time Approach By Ning, Xin; Grant, Jason; Peterson, Everett B.
  50. Determinants of Food Corn Contract Volumes By Martin, Ben; Mark, Tyler; Davis, Todd; Shockley, Jordan
  51. Economy, agriculture and the environment in the selected parts of the world By Sadowski, Arkadiusz
  52. Internet Search Volume Data as a Predictor of Consumers’ Daily Food Consumption By Kim, Sung-Yong; Kim, Taeyoung; Lee, Kyunsik
  53. The individual and intra-household effects of food price subsidy reform in Odisha (India) By Naschold, Felix; Bevis, Leah EM; Rao, Tanvi
  54. Demand Elasticity of Organic Fruits and Vegetables by Income By Yoon, Sungeun; McFadden, Brandon
  55. Attitudes towards sustainable food and cooking: Consumer segments and marketing implications By Grabmeier, Amelie; Spiller, Achim; Risius, Antje
  56. Contract Farming, Disease Outbreaks and Inclusive Growth in Rural China By Zhou, Li; Liu, Xinyue; Ifft, Jennifer E.
  57. Willingness-to-Pay Effects of Gene Drive Insect Use for Crop Pest Management in Diverse U.S. Market Applications By Jones, Michael S.; Brown, Zachary S.
  58. Restaurants’ Willingness to Pay for Tennessee Certified Beef By McKay, Lettie; DeLong, Karen L.; Jensen, Kimberly L.; Griffith, Andrew P.; Boyer, Christopher N.
  59. MPC Heterogeneity in Europe: Sources and Policy Implications By Miguel Ampudia; Russell Cooper; Julia Le Blanc; Guozhong Zhu
  60. Is dual credit always dual, or can it be detrimental? – An examination of the relationship between rising dual credit hours and undergraduate success in agricultural sciences. By Vestal, Mallory; Garcia, Nancy; Guerrero, Bridget
  61. Trading-off the Income Gains and the Inequality Costs of Trade Policy By Erhan Artuc; Guido Porto; Bob Rijkers
  62. Who is Prepared to Pay For Sustainable Fish? Evidence from a Transnational Consumer Survey in Europe By Katrin Zander; Yvonne Feucht
  63. The Relationship between Conservation and Precision Agriculture Adoption on South Dakota Farms: Results and Preliminary Analysis from 2016 Producer Survey By Deutz, Allen; Kolady, Deepthi
  64. Impact of Agricultural Land Inequality on Human Development in Punjab (Pakistan) By Attari, Muhammad Qasim; Pervaiz, Dr. Zahid; Razzaq Chaudhary, Dr. Amatul
  65. Agro-Climatic Data by County (ACDC): Methods and Data Generating Processes By Yun, Seong Do; Gramig, Benjamin M.
  66. Does Immigration Decrease Far-Fight Popularity? Evidence from Finnish Municipalities By Jakub Lonsky
  67. Western Kentucky Corn and Storage Soybean Storage Returns and Risk Management Potential By Schwenke, Eric; Davis, Todd
  68. Market Deregulation and Sector Profitability: Empirical Evidence from Sugar Beet Farming in Germany By Wimmer, Stefan G.; Sauer, Johannes
  69. Theoretical Analysis of Food Safety Modernization Act Regulations: Thresholds, Factor Complementarity, and Cooperative Solutions By Elbakidze, Levan; He, YIming
  70. Consumers' Willingness to Pay for Hydroponic Lettuce: A Non-hypothetical Choice Experiment By Gilmour, Daniel N.; Nayga, Rodolfo M.; Bazzani, Claudia; Price, Heather
  71. Revisiting Farm efficiency of Rice-Crawfish farmers: Accounting for the H-2A program By Osti, Surendra; Bampasidou, Maria; Fannin, J. Matthew
  72. Impact of NREGS on Forest Cover By Chakravarty, Shourish; Mullally, Conner
  73. Liquid milk: Cash Constraints and Recurring Savings among Dairy Farmers in Kenya By Geng, Xin; Janssens, Wendy; Kramer, Berber
  74. Modeling Market Participation and Nutrient Demand Among Agricultural Households in Bangladesh By Davidson, Kelly A.; Kropp, Jaclyn D.
  75. Is GM Soybean cultivation in Argentina sustainable ? By Pascale Phelinas; Johanna Choumert
  76. Insurance Contracts when Individuals “Greatly Value” Certainty: Results from a Field Experiment in Burkina Faso By Elena Serfilippi; Michael Carter; Catherine Guirkinger
  77. Economic Evaluation of Fumigants in Florida Bell Pepper Production: A Multi-Season Perspective By Biswas, Trina; Wu, Feng; Guan, Zhengfei; Valld, Gary
  78. Optimal Policy Response to Food Fraud By Meerza, Syed Imran Ali; Giannakas, Konstantinos; Yiannaka, Amalia
  79. The Impact of the Minimum Wage on Health Insurance: Evidence from Agricultural Workers By Kandilov, Amy; Kandilov, Ivan T.
  80. Looking Forward: Household Food Security in Niger in an Era of Climate Change By Kabir, Kayenat; Hertel, Thomas W.; Baldos, Uris Lantz C.
  81. The impact of land title on household conflict and perceived damages: Evidence from eastern Democratic Republic of Congo By Fatema, Naureen; Kibriya, Shahriar
  82. Potential Crop Rotation and Insurance Adoption Response to Changes in the Federal Crop Insurance Program By Davis, Todd; Jaromczyk, Jerzy; Mark, Tyler
  83. An Examination of Recency Bias Effects on Crop Insurance Purchases in the Mississippi Delta Region By Moore, Zachary
  84. AN EMPIRICAL ANALYSIS OF WELFARE CONSEQUENCES OF RISING FOOD PRICES IN URBAN CHINA: THE EASI APPROACH By Hovhannisyan, Vardges; Shanoyan, Aleksan
  85. Occupant Well-Being and House Values By Richard H. Rijnks; Stephen Sheppard
  86. No Time to Think: Food Decision-Making under Time Pressure By Huseynov, Samir; Krajbich, Ian; Palma, Marco A.
  87. Natural Hazards and Internal Migration: The Role of Transient versus Permanent Shocks By Tanvir Pavel; Syed Hasan; Naï¬ sa Halim; Pallab Mozumder
  88. Household Structure and SNAP's Effect on Food Spending By Ismail, Mehreen; Wilde, Parke E.; Ver Ploeg, Michele L.
  89. Feasibility and Impact of Rice Self-Sufficiency Strategies in East Africa By Muthee, Florence; Wailes, Eric J.; Durand-Morat, Alvaro
  90. Development and Inclusive Businesses in Colombia? A Case Study From The Oil Palm Supply in the Orinoquía By López Barrera, Emiliano; Lowenberg-DeBoer, James M.
  91. Optimal Decisions under Risk in Pest Management: the Case of Tomato Disease Management By Qushim, Berdikul; Wu, Feng; Guan, Zhengfei
  92. Why the first cooperative wineries produced poor quality wine, why they were so scarce and why they were set up: evidence from Spain By Samuel Garrido
  93. The Impact of Technical Measures on Different Chinese Agricultural Exporters’ Performance By Xie, Zhongmin; Zhu, Xinkai; Lopez, Rigoberto A.
  94. Do crop insurance programs preclude their recipients from adapting to new climate conditions? By Chen, Zhangliang; Dall'Erba, Sandy
  95. Household Food Waste Generation and Recycling: Impact of Downstream Usage on Behavioral Tendencies By Dusoruth, Vaneesha; Peterson, Hikaru Hanawa
  96. Impact of microfinance on poverty and household income in Rural Areas in Nigeria By Jolaoso, Enoch; Asirvatham, Jebaraj
  97. Market Incentives for Safe Foods: An Examination of The Effect of Food Recalls on Firms' Stock Prices By Lee, Daemyung; Boys, Kathryn A.
  98. The Effects of High Input Costs on Broiler Farm Productivity in Nigeria: A Dynamic Modelling Approach By Padilla, Samantha; Liverpool-Tasie, Lenis S.
  99. An Empirical Evaluation of the Nature and Extent of Livestock Shocks in Sedentary Pastoral Households in Northern Kenya By Shibia, Mumina; Rahman, Shaikh Mahfuz; Devadoss, Stephen
  100. Does Animal Welfare Matter to Consumers in Emerging Countries? Evidence from China By Chen, Junhong; Ortega, David L.; Wang, Hong Holly
  101. Drivers and Synergies in the Adoption of Sustainable Agricultural Intensification Practices: A Dynamic Perspective By Oumer, Ali M.; Burton, Michael
  102. The impact of climate change on aflatoxin contamination in US corn By Yu, Jina; Wu, Felicia; Hennessy, David A.
  103. Feed Use Intensification and Technical Efficiency of Dairy Farms in New Zealand By Ma, Wanglin; Renwick, Alan; Bicknell, Kathryn
  104. Water Transactions along a River: A Multilateral Bargaining Experiment with a Veto Player By Li, Zhi; Zhang, Xin; Xu, Wenchao
  105. Could mobile money applications improve farm productivity? Insights from rural Mozambique By Yao, Becatien H.; Shanoyan, Aleksan
  106. Where's the beef? Cattle Producers' Response to Endangered Species Regulations By Malone, Trey; Melstrom, Richard T.
  107. Determinants of technical efficiency in the Brazilian sugarcane agroindustry By Danelon, André F.; Spolador, Humberto F.S.; Bergtold, Jason S.
  108. SNAP Benefit Allotments and Dietary Quality By Cleary, Rebecca; Cho, Clare; Jablonski, Becca B. R.
  109. Scanner Data, Elementary Price Indexes and the Chain Drift Problem By Diewert, Erwin; Marandola, Tina
  110. Managed Trade: The U.S.-Mexico Sugar Suspension Agreements By Carter, Colin Andre; Saitone, Tina L.; Schaefer, K. Aleks
  111. WILLINGNESS TO AVOID LEAD RISK IN WATER QUALITY: ARE THERE INFORMATION ASYMMETRIES? By Bedell, Willie B.
  112. Joint forces: the impact of intrahousehold cooperation on welfare in East African agricultural households By Lecoutere, Els; Van Campenhout, Bjorn
  113. Water Savings and Return on Investment of a New Drought Resistant Turfgrass By Minor, Josh; Campbell, Benjamin; Waltz, Clint; Berning, Joshua
  114. Increased economic integration in the Asia-Pacific Region: What might be the potential impact on agricultural trade? By Heerman, Kari E.; Sheldon, Ian M.
  115. Using Precision Agriculture to Develop Production Functions Using Landscape Positions in Mollisols and Alfisols of Illinois By Singh, Gurbir; Asirvatham, Jebaraj
  116. Another genetic yield revolution is needed to offset climate change effects on U.S. maize By Ortiz-Bobea, Ariel; Tack, Jesse B.
  117. Characterizing the Determinants of Seeding Rate Choices By Che, Yuyuan; Feng, Hongli; Hennessy, David A.
  118. Estimating Crop Yields Using Temporally and Spatially-Varying Mixtures By Lu, Xun; Goodwin, Barry K.; Ghosh, Sujit K.
  119. Assessing dairy farming eco-efficiency in New Zealand: A two–stage data envelopment analysis By Soliman, Tarek; Djanibekov, Utkur
  120. Determinants of food waste in university event catering By Souza Monteiro, Diogo M.; Brockbank, Charlotte; Heron, Graeme
  121. The Effect of Sell-By Dates on Purchase Volume and Food Waste: A Case of New York City’s Sell-By Regulation of Milk By Yu, Yang; Jaenicke, Edward C.
  122. How do organic price premiums vary across different supply and demand side factors? A hedonic analysis of the German market for fresh meat By Staudigel, Matthias; Trubnikov, Aleksej
  123. Marketing Channels for Grass-fed Beef Production: The Role of Strategic Alliances By Le, Ngoc T.; Bampasidou, Maria; Scaglia, Guillermo
  124. Assessing the Carbon Neutrality of Biofuel: An Anticipated Baseline Approach By Khanna, Madhu; Wang, Weiwei; Wang, Michael

  1. By: Cathal O’Donoghue; Aksana Chyzheuskaya; Eoin Grealis; William Finnegan; Jamie Goggin; Stephen Hynes1; Kevin Kilcline; Mary Ryan
    Abstract: Sustainable intensification is one of the greatest challenges facing the agri-food sector which needs to produce more food to meet increasing global demand, while minimising negative environmental impacts such as agricultural greenhouse gas (GHG) emissions. Sustainable intensification relates not just to primary production, but also has wider value chain implications. An input-output model is a modelling framework which contains the flows across a value chain within a country. Input-output (IO) models have been disaggregated to have finer granular detail in relation to agricultural sub-sectoral value chains. National IO models with limited agricultural disaggregation have been developed to look at carbon footprints and within agriculture to look at the carbon footprint of specific value chains. In this paper we adapt an agriculturally disaggregated IO model to analyse the source of emissions in different components of agri-food value chains. We focus on Ireland, where emissions from agriculture comprise nearly 30% of national emissions and where there has been a major expansion and transformation in agriculture since the abolition of milk quota restrictions. In a substantial Annex to this paper, we describe the modelling assumptions made in developing this model. Breaking up the value chain into components, we find that most value is generated at the processing stage of the value chain, with greater processing value in more sophisticated value chains such as dairy processing. On the other hand, emissions are in general highest in primary production, albeit emissions from purchased animal feed being higher for poultry than for other value chains, given the lower direct emissions from poultry than from ruminants or sheep. The analysis highlights that emissions per unit of output are much higher for beef and sheep meat value chains than for pig and poultry meat value chains.
    Keywords: Agribusiness, Agricultural and Food Policy, Agricultural Finance
    Date: 2018–10–01
    URL: http://d.repec.org/n?u=RePEc:ags:iefi18:276856&r=agr
  2. By: Chakravorty, Ujjayant (Tufts University); Hubert, Marie-Helene (University of Rennes); Ural Marchand, Beyza (University of Alberta)
    Abstract: More than 40% of US grain is used for energy due to the Renewable Fuels Mandate (RFS). There are no studies of the global distributional consequences of this purely domestic policy. Using micro-level survey data, we trace the effect of the RFS on world food prices and their impact on household level consumption and wage incomes in India. We first develop a partial equilibrium model to estimate the effect of the RFS on the price of selected food commodities - rice, wheat, corn, sugar and meat and dairy, which together provide almost 70% of Indian food calories. Our model predicts that world prices for these commodities rise by 8-16% due to the RFS. We estimate the price pass-through to domestic Indian prices and the effect of the price shock on household welfare through consumption and wage incomes. Poor rural households suffer significant welfare losses due to higher prices of consumption goods, which are regressive. However they benefit from a rise in wage incomes, mainly because most of them are employed in agriculture. Urban households also bear the higher cost of food, but do not see a concomitant rise in wages because only a small fraction of them work in food- related industries. Welfare losses are greater among urban households. However, more poor people in India live in villages, so rural poverty impacts are larger in magnitude. We estimate that the mandate leads to about 26 million new poor: 21 million in rural and five million in the urban population.
    Keywords: biofuels, distributional effects, household welfare, renewable fuel standards, poverty
    JEL: D31 O12 Q24 Q42
    Date: 2018–08
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp11784&r=agr
  3. By: Dacko, Mariusz; Plonka, Aleksandra
    Abstract: Along with the socio-economic development, agriculture has a natural tendency to increase productivity. Its effect is unfavourable for farmers agricultural overproduction. In this situation, the relatively constant food needs of individual societies are able to be met by an ever smaller number of farms. Prices of agricultural products show a declining trend, which at constant or rising costs incurred by farmers leads to the unfavourable phenomenon of opening of price scissors. Under such circumstances, a growing percentage of households are at risk of bankruptcy. Among farmers, there is even more pressure to improve productivity perceived individually as a way to improve the financial situation of the farm. This is how the vicious circle closes, because further productivity growth will result in even lower prices in the future. In the struggle against overproduction and its consequences, governments decide to subsidize agricultural prices, agricultural income, set production quotas or adopt set-aside policies. This paper asseses the effects of these forms of intervention on cereal producers activity, using the system dynamics method of Bossel (2007). The presented model is a great simplification of the reality, but it allows us to make interesting observations. It provides a multi-faceted look at the social costs and benefits of selected agricultural policy instruments.
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:ags:iafepa:276378&r=agr
  4. By: Bianchi, Eduardo; Bowyer, Catherine; Morrison, J. A.; Vos, Rob; Wellesley, Laura
    Abstract: More and better quality private sector investment in food systems will be needed if countries are to achieve their Sustainable Development Goals. The key challenge addressed in this paper is how investment in food systems can be redirected such that it is both adequate to drive dynamic food system development and has the quality of promoting inclusive and sustainable systems. Three areas of action are considered: instruments that translate growing consumer awareness of the sustainability aspects of food system development into SDG compliant investment; instruments that encourage investment in food systems in high-risk contexts; and improvements to food system governance. The paper articulates three key areas in which the G20 should take action: (i) to strengthen global platforms for the benchmarking and coordination of private sector sustainability initiatives; (ii) to provide support to the coordinated implementation of voluntary guidelines to foster SDG-compliant investment in higher risk contexts; and (iii) to promote greater coordination between multilateral fora to strengthen the global governance of complex and interlinked food system challenges.
    Keywords: food systems,investment,voluntary guidelines,sustainable development goals
    JEL: P45 Q01 Q18
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:zbw:ifwedp:201869&r=agr
  5. By: Balana, Bedru; Bizimana, Jean-Claude; Richardson, James W.; Lefore, Nicole; Adimassu, Zenebe; Herbst, Brian K.
    Abstract: Small-scale irrigation (SSI) technologies can be a useful tool not only to increase crop productivity and income but also to mitigate against climate variability in Ghana given the recent frequent dry spells. Profitability and economic feasibility of investing in the SSI technologies are analysed using a farm simulation model (FARMSIM) and based on farm-plot level data on selected SSI technologies piloted in northern Ghana under the Innovation Lab for Small Scale Irrigation (ILSSI). The aim is to identify profitable and economically feasible sets of ‘crop type–SSI technology’ combinations that would prove viable in “real world” farm conditions. Four dry season irrigated cash crop (corchorus, onion, and amaranths) grown under four SSI technologies (pump-tank-hose, watering can, and rain/roof water harvesting and drip irrigation) were considered. Results showed that rainwater-harvesting using poly tank storage and a drip system is not economically feasible at the current yield level and market prices of irrigated cash crops in northern Ghana. SSI technology options using river water or shallow wells with motorized pumps or watering cans were profitable. The watering can is relatively more profitable than motorized pumps because of fuel and upfront investment costs in pumps. However, affordable credit schemes could mitigate the cost constraint to afford motor pumps and enable smallholders to participate in market-oriented production.
    Date: 2018–01–16
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266558&r=agr
  6. By: Sandrine Brèteau-Amores; Marielle Brunette; Hendrik Davi
    Abstract: Drought is a source of stress affecting forest growth and resulting in financial losses for forest owners and amenity losses for society. Due to climate change, such natural event will be more frequent and intense in the future. In this context, the objective of the paper is to compare, from an economic perspective, different forest adaptation strategies towards drought-induced risk of decline. For that purpose, we focus on a case study of a forest of beech in Burgundy (France) and, we studied several adaptation options: density reduction, reduction of the rotation length and substitution by Douglas-fir. We also considered two levels of drought risk (intermediate and low soil water capacity) and two climatic scenarii from IPCC (RCP 4.5 and RCP 8.5). We combine a process-based forest-growth simulator (CASTANEA) with a traditional forest economics approach. The results showed that adaptation provided the best economic return in most of the scenario considered. Combining strategies appears as a relevant way to adapt forest towards a drought-induced risk of forest decline. The interest to consider two disciplinary fields was also demonstrated with beneficial scenarii in an ecological perspective that were not in an economic one and reversely.
    Keywords: forest, drought, adaptation, climate change, economics, risk, carbon, CASTANEA.
    JEL: D81 Q23 Q54
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:ulp:sbbeta:2018-38&r=agr
  7. By: Barnett, Audrey; Gumirakiza, Jean Dominique
    Abstract: Successful farm managers in the twenty-first century and beyond will be using the best practices of farm management like enterprise and whole farm budgeting, farm accounting techniques, investment analysis, economic principles, risk and uncertainty management, and agricultural marketing. This study describes the extent to which Kentucky small and medium-sized farms apply the best practices and the effect they have on farm profitability. Data was collected in 2017 through a survey mailed to 850 owners of small and medium-sized farms. Results indicate that the majority of the farms indicated to be very good at production. Few of the farms have a complete set of skills necessary to apply the best practices. Furthermore, the study shows that farm financial position (based on balance sheet) and profitability (based on income statements) are significantly strong among farms that apply the best practices. Finally, the study indicates that farm profitability is positively correlated with farm characteristics such size, location, revenue, form (sole, partnership, corporation), enterprise types (crop, animal, fresh produce) and owner’s characteristics (age, education, experience, and gender). These findings are relevant, useful, and beneficial to owners of small and med-sized farms and to Extension agents and policy makers for their efforts to assist farmers.
    Keywords: Agribusiness, Agricultural and Food Policy, Agricultural Finance, Crop Production/Industries, Farm Management, Livestock Production/Industries
    Date: 2018–01–16
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266867&r=agr
  8. By: Tossou, Dagbegnon A.; Baylis, Kathy
    Keywords: International Development, Food and Agricultural Policy Analysis, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274243&r=agr
  9. By: Hadush, Muuz
    Abstract: In this paper, efforts were made to assess the impact of full and seasonal stall feedingtechnology on households’ milk production and consumption, market participation (animal and animal product sale) in Northern Ethiopia using data obtained from the survey of 518 rural farmers. The overall result indicated that SF adoption ensures significant gains in terms of the specified outcome indicators. Using endogenous switching regression models, we estimate different outcome indicators for both adopters from adoption (ATT), and non-adopters had they adopted (ATU). It is identified that there would be a decline of 21% in milk production and productivity if adopters would not have adopted this technology while nonadopters are estimated to increase their milk production and productivity by 100% and 48% if they would adopt this technology. The results further show that SF adoption had a significant increment in lactation period. An increase of consumption expenditure by 17% from FSF and 44% in the case of SSF could be considered significant on livelihoods for smallholder farmers. The adoption of SF increased the likelihood of participating in an animal sale market by 29% for adopters and by 47% for non-adopters had they decided to adopt.
    Keywords: Consumer/Household Economics, Land Economics/Use, Production Economics
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:ags:iafepa:276473&r=agr
  10. By: GODEFROY, Raphaël; LEWIS, Joshua
    Abstract: Income uncertainty in the rural economy is widely considered an important impediment to growth in poor countries. This paper uses a rich dataset on productivity, land use, and output for 17 different crops across 500,000 plots of land in 87 countries to study the impact of uncertainty in the agricultural sector. The analysis relies on historical variability in crop productivity driven by local climatic conditions to estimate the impact of uncertainty on farmers’ land allocation. Applying a standard portfolio framework, we estimate that the incentive to diversify led to large losses in agricultural revenue. We adopt a spatial regression discontinuity approach that compares how national institutions affected agricultural outcomes near the borders of former British and French colonies in Africa. We find that farmers in former British colonies, which tended to adopt pro-private sector policies, adopted more advanced input technologies and achieved higher crop-specific returns. In contrast, farmers in former French colonies, which tended to devote more public resources to the agricultural sector, tolerated higher levels of uncertainty and adopted more specialized crop portfolios. These offsetting effects suggest that both a well-functioning market system along with public investments that reduce risk may be necessary to foster rural economic development.
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:mtl:montde:2018-12&r=agr
  11. By: Doidge, Mary; Hennessy, David A.; Feng, Hongli
    Keywords: Experimental Economics, Risk and Uncertainty, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274037&r=agr
  12. By: Campbell, Victoria; Thompson, Jada M.
    Abstract: In today’s globalized world, some agribusinesses are diversifying to other agricultural and non-agricultural products to combat the inherent risks associated with marketing agricultural goods, while others have intensified in one particular area. For example, Tyson Foods, Incorporated, one of the largest publicly-traded and globally recognized agribusinesses, began making poultry products in the 1930s and has since diversified to market beef, pork, and other food products through either acquisitions or expansion of core business strategy, while Cal-Maine Foods has continued to stay true to its core business of egg production and marketing. A diversified portfolio is expected to alleviate the effects of business disrupting events such as product recalls, droughts, or animal disease events. Protein companies specifically face risks associated with feed sourcing, animal health and welfare, and food safety. The aim of this work is to analyze the value of product diversification on an agribusiness’ worth using stock prices to value each of the top 100 meat companies that are publically traded in the United States. Daily stock prices from 2007-2016 have been collected and are used to identify the factors that contribute to the value of a company, while accounting for the heterogeneity of agribusiness management and strategy.
    Keywords: Agribusiness
    Date: 2018–01–16
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266546&r=agr
  13. By: Rono, Patrick K.; Rahman, Shaikh Mahfuz; Devadoss , Stephen
    Keywords: Food Consumption/Nutrition/Food Safety, Food Security and Poverty
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266701&r=agr
  14. By: Karnik, Harshada; Peterson, Hikaru Hanawa
    Keywords: Food Safety and Nutrition, Food and Agricultural Policy Analysis, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273898&r=agr
  15. By: Salois, Matthew; Baker, Kristi
    Keywords: Agricultural and Food Policy, Livestock Production/Industries, Production Economics
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266631&r=agr
  16. By: Hendricks, Nathan P.; Smith, Aaron D.; Villoria, Nelson B.
    Keywords: Production Economics, Food and Agricultural Policy Analysis, International Trade
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274338&r=agr
  17. By: Khanal, Aditya R.; Mishra, Ashok K.
    Keywords: Production Economics, International Development, Agribusiness Economics and Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274366&r=agr
  18. By: Diarra, Lacina; Dessy, Sylvain
    Keywords: International Development, Household and Labor Economics, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274240&r=agr
  19. By: Schuster, Monica; Delgado, Luciana; Torero, Maximo
    Keywords: Food and Agricultural Policy Analysis, Food and Agricultural Marketing, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273859&r=agr
  20. By: Deschenes, Olivier (University of California, Santa Barbara); Meng, Kyle C. (University of California, Santa Barbara)
    Abstract: This paper examines the application of quasi-experimental methods in environmental economics. We begin with two observations: i) standard quasi-experimental methods, first applied in other microeconomic fields, typically assume unit-level treatments that do not spill over across units; (ii) because public goods, such as environmental attributes, exhibit externalities, treatment of one unit often affects other units. To explore the implications of applying standard quasi-experimental methods to public good problems, we extend the potential outcomes framework to explicitly distinguish between unit-level source and the resulting group-level exposure of a public good. This new framework serves as a foundation for reviewing and interpreting key papers from the recent empirical literature. We formally demonstrate that two common quasi-experimental estimators of the marginal social benefit of a public good can be biased due to externality spillovers, even when the source of the public good itself is quasi-randomly assigned. We propose an unbiased estimator for the valuation of local public goods and discuss how it can be implemented in future studies. Finally, we consider how to preserve the advantages of the quasi-experimental approach when valuing global public goods, such as climate change mitigation, for which no control units are available.
    Keywords: quasi-experimental methods, environmental economics, externalities
    JEL: C21 H23 H41 Q50 Q51 Q52 Q53 Q54
    Date: 2018–08
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp11797&r=agr
  21. By: Roland Herrmann; Katharina Bissinger; Lisa Krandick
    Abstract: There is a growing demand for foods with sustainability characteristics on Northern markets. Despite this trend, foods with sustainability characteristics, like organic farming, regional production and fairtrade certification, do still cover small market segments compared to the conventional market. The incentive for producers to switch from the mass to the niche market is the potential price premium associated with sustainability characteristics. In order to measure these premia, very different approaches are applied. We argue that supply-and-demand models incorporating the influence of sustainability characteristics on preferences and marginal costs are superior to willingness-to-pay studies focusing on hypothetical decisions by consumers alone. We apply hedonic price analysis to the German online market for honey. The differentiated market for honey allows to compare price premia across different sustainability characteristics. Price premia compared to the benchmark of a standard honey, are positive for regionality and negative for fairtrade.
    Keywords: Agribusiness, Agricultural and Food Policy
    Date: 2018–10–01
    URL: http://d.repec.org/n?u=RePEc:ags:iefi18:276855&r=agr
  22. By: Saavoss, Monica
    Keywords: Crop Production/Industries
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266586&r=agr
  23. By: Andam, Kwaw S.; Ragasa, Catherine R.; Asante, Seth
    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:aaea18:273890&r=agr
  24. By: Abdul-Rahaman, Awal; Abdulai, Awudu
    Keywords: Food and Agricultural Marketing, Agribusiness Economics and Management, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273822&r=agr
  25. By: Pascale Phelinas (CESSMA UMRD 245 - Centre d'études en sciences sociales sur les mondes africains, américains et asiatiques - IRD - Institut de Recherche pour le Développement - Inalco - Institut National des Langues et Civilisations Orientales - UPD7 - Université Paris Diderot - Paris 7); Johanna Choumert (EDI - Economic Development Initiatives - Economic Development Initiatives [EDI])
    Date: 2018–09–17
    URL: http://d.repec.org/n?u=RePEc:hal:wpaper:ird-01875351&r=agr
  26. By: Odening, Martin; Huettel, Silke; Croonenbroeck, Carsten
    Keywords: Ag Finance and Farm Management, Research Methods/Econometrics/Stats, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274114&r=agr
  27. By: Lutz Philip Hecker; Frank Wätzold; Gunther Markwardt
    Abstract: The objective of this paper is to analyze whether successful environmental policies spread across geographical space. We examine the existence of such environmental spatial policy spillovers using the example of wastewater treatment in Mexican municipalities. Untreated wastewater is a key pollution source in many developing and emerging countries, also in Mexico. However, wastewater treatment levels also differ greatly among the 2,456 Mexican municipalities. We apply spatial econometrics to explain differences in wastewater treatment. Our main finding is that a municipal administration is more likely to treat wastewater if neighboring municipalities do so. This insight seems of broader relevance to environmental policy-making. In developing and emerging countries, governments frequently lack capacities to solve environmental problems. Consequently, they may often rely on learning spillovers from nearby success cases. We recommend to implement environmental pilot projects which may then trigger domino effects.
    Keywords: spatial policy spillover, wastewater treatment, spatial econometrics, Mexico, social factors
    JEL: Q01 Q53 Q58
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:ces:ceswps:_7251&r=agr
  28. By: Hobbs, Lonnie; Shanoyan, Aleksan
    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:aaea18:274070&r=agr
  29. By: Dhakal, Chandra K.; Escalante, Cesar L.
    Keywords: Ag Finance and Farm Management, Agribusiness Economics and Management, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274118&r=agr
  30. By: Rolando, Dominique J.; Peterson, Hikaru Hanawa
    Keywords: Food Safety and Nutrition, Behavioral & Institutional Economics, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273912&r=agr
  31. By: Ruan, Jianqing; Zhang, Huayan; Chen, Shuai
    Keywords: Risk and Uncertainty, Rural/Community Development, Environmental and Nonmarket Valuation
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274472&r=agr
  32. By: Sampson, Gabriel; Hendricks, Nathan P.; Taylor, Mykel R.
    Keywords: Natural Resource Economics, Environmental and Nonmarket Valuation, Ag Finance and Farm Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274320&r=agr
  33. By: Lindsay, Karen; Popp, Michael; Ashworth, Amanda; Owens, Phillip
    Abstract: The Tractor Guidance Analysis Model (TGA) was developed to assist small-scale crop and livestock producers, consultants, and extension personnel with analyzing the adoption of auto-steer tractor guidance to improve yields, reduce input use, extend workdays, and thereby enhance the efficiency of machinery and tractor operators. Using the Microsoft Excel® software platform, TGA utilizes default efficiency gain measurements observed at the USDA ARS Booneville Small Farm Research center and/or existing literature to provide a decision-support tool that performs partial budgeting and breakeven analyses for user-specified farm operations. For example, is the decision to invest in less accurate technology at a lower cost more economical than expensive technology with better accuracy? How sensitive are feasibility results to purported efficiency gains when field attributes such as slope and field shape irregularity change? At what level of annual use will the technology pay off with changeable equipment when growing different field crops, managing weeds on, and/or establishing pasture? This automated decision-support software provides user flexibility for operation-specific details and tracks technology-driven changes in fertilizer, fuel, seed, labor, and chemical inputs to both estimate the profitability of tractor guidance investment, the breakeven annual use needed to make the investment feasible, and the potential environmental impact.
    Keywords: Farm Management
    Date: 2018–01–16
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266572&r=agr
  34. By: Cheptea, Angela; Huchet-Bourdon, Marilyne
    Keywords: International Trade, Research Methods/Econometrics/Stats, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274272&r=agr
  35. By: Gabriel Bachner (University of Graz, Austria); Birgit Bednar-Friedl (University of Graz, Austria); Nina Knittel (University of Graz, Austria)
    Abstract: Public adaptation to climate change affects government budgets directly on the expenditure side, but budgets are also indirectly affected via a change in the tax base and a diversion of government consumption. While these indirect effects have been analyzed intensively for mitigation policies, a similarly detailed model-based analysis for adaptation policy is still missing. The present paper addresses this gap for the case of Austria in 2050 by (i) developing an adaptation expenditure pathway starting from current adaptation-relevant expenditures on programs and measures; (ii) analyzing the macroeconomic consequences thereof in a computable general equilibrium model; and (iii) assessing both direct and indirect effects on government revenues and expenditures. We find that public adaptation can lead to substantial positive macroeconomic effects on gross domestic product, welfare, and employment and that this effect is robust with respect to different assumptions on the effectiveness of adaptation measures. Despite the additional direct public expenses for adaptation, the overall government revenues, and therefore the budget balance, increase (relative to a climate change impact scenario without adaptation). These higher revenues trace back to reduced tax losses from less severe climate change impacts as well as higher labor tax revenues since soft and green adaptation measures stimulate employment. On the expenditure side, less expenditures on disaster relief and unemployment benefits enable increasing government consumption in other areas like health and education.
    Keywords: Climate change; Public adaptation; Indirect effects; Public budgets; computable general equilibrium
    JEL: Q54 H61 C68
    Date: 2018–10
    URL: http://d.repec.org/n?u=RePEc:grz:wpaper:2018-17&r=agr
  36. By: Zhang, Lisha; Seale, James L.
    Keywords: Food Safety and Nutrition, Demand and Price Analysis, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273916&r=agr
  37. By: Lanter, David; Hirsch, Stefan; Finger, Robert
    Keywords: Industrial Org./Supply Chain Management, Agribusiness Economics and Management, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274202&r=agr
  38. By: Katherine Casey; Rachel Glennerster; Edward Miguel; Maarten Voors
    Abstract: Where the state is weak, traditional authorities often control the local provision of land, justice, and public goods. These authorities are criticized for ruling in an undemocratic and unaccountable fashion, and are typically quite old and poorly educated relative to younger cohorts who have benefited from recent schooling expansions. We experimentally evaluate two solutions to these problems in rural Sierra Leone: an expensive long-term intervention to make local institutions more inclusive; and a low-cost test to rapidly identify skilled technocrats and delegate project management to them. In a real-world competition for local infrastructure grants, we find that technocratic selection dominates both the status quo of chiefly control and the institutional reform intervention, leading to an average gain of one standard deviation unit in competition outcomes. The results uncover a broader failure of traditional autocratic institutions to fully exploit the human capital present in their communities. We compare these findings to the prior beliefs of experts on likely impacts, and discuss implications for competing views on the sustainability of foreign aid.
    JEL: H41 I25 O15
    Date: 2018–09
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:25022&r=agr
  39. By: Jia, Yanan; Hennessy, David A.; Feng, Hongli
    Keywords: Ag Finance and Farm Management, Behavioral & Institutional Economics, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273809&r=agr
  40. By: Bruno, Ellen; Jessoe, Katrina K.
    Keywords: Resource and Environmental Policy Analysis, Food and Agricultural Policy Analysis, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274430&r=agr
  41. By: Baborska, Renata; Hernandez-Hernandez, Emilio; Magrini, Emiliano; Morales-Opazo, Cristian
    Abstract: The paper analyses the impact of using single, combinations and the range of three different formal financial services – savings, credit and payments – on the personal food security experience in rural areas across 88 low-and middle-income countries. It takes advantage of Global Findex database and Food Insecurity Experience Scale (FIES) – both included in the 2014-round of Gallup World Poll that collects data at individual-level and comparable worldwide. Our outcome variable of interest is the individual’s probability of experiencing food insecurity related to difficulties in access to food and which we measure through FIES. Econometrically, we employ different matching techniques: entropy balancing, matching on propensity scores and fully interacting linear matching in order to assess the consistency of estimated impacts. The results indicate mixed food security effects depending on the type of service used. Use of savings accounts significantly decreases, use of credit significantly increases and use of formal payment services has no effect on the individual’s probability of experiencing food insecurity. Our findings are consistent with the view that the specific features rather than the range of services offered by formal financial sector is determinative in the final food security experience, especially when they can be assigned to positive income effects.
    Keywords: Financial inclusion, experience-based food insecurity scale, rural populations, low-and middle-income countries, impact, entropy balancing
    JEL: O12 Q18
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:89249&r=agr
  42. By: Shee, Apurba; Pervez, Shadayen; Turvey, Calum G.
    Keywords: International Development, Ag Finance and Farm Management, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274224&r=agr
  43. By: Cheptea, Angela; Laroche-Dupraz, Cathie
    Keywords: Productivity Analysis and Emerging Technologies, International Trade, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274386&r=agr
  44. By: Wang, Yang; Dong, Fengxia; Xu, Jiabin
    Keywords: Production Economics, Productivity Analysis and Emerging Technologies, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274344&r=agr
  45. By: Dharmasena, Senarath; Bessler, David A.
    Abstract: The causes and consequences of food environment factors such as food insecurity, poverty, unemployment and obesity in the United States are complex. Once causality patterns with regards to these variables are identified, it is important to recognize front-door (Pearl, 2000) and back-door paths (Pearl, 2000) associated with these variables to make sensible and credible policy decisions. These policy interventions are known as performing do-Calculus (Pearl 2000, Spirtes et al., 2000) in causality literature. In this study we use the complex interactions of four food environment variables in the United States (food insecurity, poverty, unemployment and obesity) estimated using artificial intelligence and directed acyclic graphs by Dharmasena, Bessler and Capps (2016) and perform several policy interventions, recognizing front-door and back-door paths. Such policy simulations are vital for agencies not only to design appropriate policies for food assistance, poverty alleviation, combating food insecurity and obesity, but also to recognize effects of policy prior to the desired intervention. Preliminary analysis shows that there are two front-door paths from income to food insecurity, via poverty and via unemployment. Also, there is a front-door path from poverty to food insecurity, while there is an important back- door path from poverty to food insecurity via unemployment.
    Keywords: Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, Health Economics and Policy, Research Methods/ Statistical Methods
    Date: 2018–01–16
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266569&r=agr
  46. By: Jaromczyk, Jerzy; Davis, Todd; Mark, Tyler
    Keywords: Agricultural and Food Policy, Agricultural Finance
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266669&r=agr
  47. By: Ilya Kuzminov (National Research University Higher School of Economics); Irina Loginova (National Research University Higher School of Economics); Elena Khabirova (National Research University Higher School of Economics)
    Abstract: This paper defines a stress scenario as a global or national business development leading to the scrapping of established trends as a result of one or several technological breakthroughs, which can combine with a number of events and factors unfavorable for the global or national economy. The paper presents an analysis of technological shifts in the global agricultural sector focused the impact of these development on the Russian economy. Special attention is paid to scenarios involving deviation from conventional trends, when the imbalance between production and consumption becomes particularly acute while the situation in global food markets changes quickly and significantly with serious consequences for the Russian economy. This remains dependent on developed countries, which are major suppliers of vital resources required for the Russian agricultural sector. Six stress scenarios for the Russian agricultural sector, if certain drivers are triggered, were developed. In contrast to conventional forecasts based on the trends formed in recent years, stress scenarios consider the disruption of such trends, which today are recognized by most experts as the most realistic
    Keywords: stress scenarios, wildcards, black swans, weak signals, technological shifts, agricultural sector, food markets, text-mining.
    JEL: O1 O3
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:hig:wpaper:88sti2018&r=agr
  48. By: Jones, Jordan W.; Courtemanche, Charles; Marton, James
    Keywords: Food and Agricultural Policy Analysis, Food Safety and Nutrition, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273845&r=agr
  49. By: Ning, Xin; Grant, Jason; Peterson, Everett B.
    Keywords: International Trade, Food and Agricultural Policy Analysis, Food and Agricultural Marketing
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274271&r=agr
  50. By: Martin, Ben; Mark, Tyler; Davis, Todd; Shockley, Jordan
    Keywords: Agribusiness, Crop Production/Industries, Farm Management
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266677&r=agr
  51. By: Sadowski, Arkadiusz
    Abstract: The aim of the study is to identify the different impacts of the economy and agriculture on the environment in the different countries in natural, historical, political and economic terms. Two countries were chosen as an example – the USA and China, and one group of countries – the European Union. The research used data from Faostat and the World Bank. It also used the author’s method of estimation of agricultural production, defined as the amount of energy expressed in kilocalories. Research showed that highly developed economies are highly polutogenic, but, on the other hand, they are effective, which means that the production of GDP entails relatively little pollution. In the case of agriculture, it was stated that productivity is determined primarily by demographic factors, mainly the density of population. It means that despite the differences in the level of development, the productivity of land is relatively high in China and the EU and lower in the USA. Basing on the analyses, a number of development dilemmas were pointed out, highlighting the social importance of multi-faceted security generated by the developed economy. At the same time, environmental threats were also identified.
    Keywords: Agricultural and Food Policy, Community/Rural/Urban Development, Environmental Economics and Policy
    Date: 2018
    URL: http://d.repec.org/n?u=RePEc:ags:iafepa:276376&r=agr
  52. By: Kim, Sung-Yong; Kim, Taeyoung; Lee, Kyunsik
    Keywords: Food and Agricultural Marketing, Food and Agricultural Policy Analysis, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274049&r=agr
  53. By: Naschold, Felix; Bevis, Leah EM; Rao, Tanvi
    Keywords: International Development, Household and Labor Economics, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274219&r=agr
  54. By: Yoon, Sungeun; McFadden, Brandon
    Keywords: Demand and Price Analysis
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266610&r=agr
  55. By: Grabmeier, Amelie; Spiller, Achim; Risius, Antje
    Keywords: Food Safety and Nutrition, Food and Agricultural Marketing, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273887&r=agr
  56. By: Zhou, Li; Liu, Xinyue; Ifft, Jennifer E.
    Keywords: Industrial Org./Supply Chain Management, Risk and Uncertainty, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274193&r=agr
  57. By: Jones, Michael S.; Brown, Zachary S.
    Keywords: Food and Agricultural Marketing, Demand and Price Analysis, Productivity Analysis and Emerging Technologies
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274071&r=agr
  58. By: McKay, Lettie; DeLong, Karen L.; Jensen, Kimberly L.; Griffith, Andrew P.; Boyer, Christopher N.
    Abstract: Tennessee beef producers and consumers have shown interest in a Tennessee Certified Beef (TCB) Program. Restaurants serving local foods may serve as an important outlet for TCB but there is no knowledge on how restaurants perceive TCB and willingness to pay (WTP) for TCB. Therefore, this study examines restaurants’ WTP for TCB ground beef and sirloin steak. A telephone survey of 150 Tennessee restaurants that offer locally sourced foods and beef was conducted in which the primary decision maker was asked contingent valuation questions to determine their WTP for TCB. A probit model was used to determine the factors affecting restaurants’ decision to purchase TCB. Results show that the TCB price had a significant impact on restaurants’ decision to adopt TCB. Preliminary results indicate if restaurants were already sourcing beef directly from a producer, selling local foods, and offering beef with no hormones added, they were more likely to indicate they would purchase TCB ground beef. Restaurants were more likely to indicate they would purchase TCB sirloin steak if they already offered beef with no antibiotics administered, natural beef, local beef, and believed offering TCB would make the restaurant more profitable. This research provides recommendations on the premium producers could receive for a TCB product purchased by restaurants as well as the business attributes of restaurants interested in providing such a product.
    Keywords: Demand and Price Analysis
    Date: 2018–01–16
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266578&r=agr
  59. By: Miguel Ampudia; Russell Cooper; Julia Le Blanc; Guozhong Zhu
    Abstract: This paper studies household financial choices in four EU countries. The estimation of key parameters uses a simulation method of moments approach to match moments on asset market participation rates, portfolio shares and wealth to income ratios by education group and country. The policy functions based upon the estimation are used to characterize the distributions of the marginal propensity to consume across households for each of the four countries. The distributions are directly related to the presence of hand-to-mouth households. With the estimated distributions, monetary policy, operating through its effects on household income and asset market returns, will have a differential impact on individuals within and across countries.
    JEL: E21 E52
    Date: 2018–09
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:25082&r=agr
  60. By: Vestal, Mallory; Garcia, Nancy; Guerrero, Bridget
    Keywords: Teaching/Communication/Extension/Profession
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266730&r=agr
  61. By: Erhan Artuc (The World Bank - DECTI); Guido Porto (FCE-UNLP); Bob Rijkers (The World Bank - DECTI)
    Abstract: This paper characterizes the trade-off between the income gains and the inequality costs of trade using survey data for 54 developing countries. Tariff data on agricultural and manufacturing goods are combined with household survey data on detailed income and expenditure patterns to estimate the first order effects of the elimination of tariffs on household welfare. We assess how these welfare effects vary across the distribution by estimating impacts on the consumption of traded goods, wage income, farm and non-farm family enterprise income, and government transfers. For each country, the income gains and the inequality costs of trade liberalization are quantified and the trade-offs between them are assessed using an Atkinson social welfare index. We find average income gains from liberalization in 44 countries and average income losses in 10 countries. Across countries in our sample, the gains from trade are 1.8 percent of real household expenditure on average. We find overwhelming evidence of a trade-off between the income gains (losses) and the inequality costs (gains), which arise because trade tends to exacerbate income inequality: 46 countries face a trade-off, while only 8 do not. These trade-offs are typically resolved in favor of lower tariffs. In the majority of developing countries, the prevailing tariff structure thus induces sizeable welfare losses.
    Date: 2018–10
    URL: http://d.repec.org/n?u=RePEc:dls:wpaper:0236&r=agr
  62. By: Katrin Zander; Yvonne Feucht
    Abstract: Sustainability of increasing relevance also for seafood markets. The aim of this contribution is to analyse consumer preferences and their willingness to pay (WTP) for different sustainability claims. The contingent valuation method was applied to elicit consumers’ WTP in eight European countries. The WTP varies between seven and almost 20%, depending on attribute and country. Three consumer groups become apparent: the largest group without any additional WTP, a smaller group with a moderate additional WTP of plus 17%, and a very small group with an additional WTP of more than 40%. Clear differences between countries regarding preferences for different sustainability attributes, particularly in the segment with highest WTP are obvious.
    Keywords: Agribusiness, Agricultural and Food Policy, Agricultural Finance
    Date: 2018–10–01
    URL: http://d.repec.org/n?u=RePEc:ags:iefi18:276859&r=agr
  63. By: Deutz, Allen; Kolady, Deepthi
    Keywords: Agribusiness, Agricultural and Food Policy, Environmental Economics and Policy
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266704&r=agr
  64. By: Attari, Muhammad Qasim; Pervaiz, Dr. Zahid; Razzaq Chaudhary, Dr. Amatul
    Abstract: Inequality of income, wealth and assets has important implications for different socioeconomic outcomes. This study has investigated the impact of agricultural land inequality on human development across the districts of Punjab (Pakistan). Human Development Index (HDI) and Non-income Human Development Index (NIHDI) have been used as proxy for human development. Agriculture land inequality, HDI and NIHDI have been calculated by utilizing data of different waves of Multiple Indicators Cluster Survey (MICS) and Pakistan Social and Living Standard Measurement Survey (PSLM) conducted during the period of 2003-2014. By using fixed effects model, we have found that agricultural land inequality has negative and significant relationship with human development across the districts of Punjab. The study suggests redistribution of agricultural land as a strategy to bring improvements in human development.
    Keywords: Agricultural Land Inequality, Human Development, Punjab, Pakistan.
    JEL: O15
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:89070&r=agr
  65. By: Yun, Seong Do; Gramig, Benjamin M.
    Abstract: Due to the recent popularity of raster imagery data (high resolution grid cell data), the demand for weather, soil/land and related data for research and applied decision support is increasing rapidly. Agro-Climatic Data by County (ACDC) is designed to provide the most widely-used variables extracted from the most popular high resolution gridded data sources to end users of agro-climatic variables who may not be equipped to process large geospatial datasets from multiple publicly available sources that are provided in different data formats and spatial scales. Annual county level crop yield data in USDA NASS for 1981-2015 are provided for corn, soybeans, upland cotton and winter wheat yields, and customizable growing degree days (GDDs) and cumulative precipitation for two groups of months (March-August and April-October) to capture different growing season periods for the crops from the PRISM weather data. Soil characteristic data in gSSURGO are also included for each county in the data set. All weather and soil data are processed based using NLCD land cover/land use data to exclude data for land that is not being used for non-forestry agricultural uses. This paper explains the numerical and geocomputational methods and data generating processes employed in ACDC.
    Keywords: Production Economics, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy
    Date: 2018–01–16
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266575&r=agr
  66. By: Jakub Lonsky
    Abstract: Across Europe, far-right parties have made signi ficant electoral gains in recent years, posing aserious threat to the European integration process. Their anti-immigration stance is consideredone of the main factors behind their success. Yet, the causal evidence on how immigrationaffects far-right voting is still relatively scarce. Using data from Finland, this paper studiesthe effect of immigration on voting for the far-right Finns Party on a local level. Exploiting aconvenient setup for a shift-share instrument, I find that one percentage point increase in theshare of foreign citizens in municipality decreases Finns Party's vote share by 3.4 percentagepoints. A placebo test using pre-period data confi rms this effect is not driven by persistenttrends at the municipality level. The far-right votes lost to immigration are captured by the twopro-immigration parties. In addition, immigration is found to increase voter turnout while theprotest vote remains unaffected. Turning to potential mechanisms, the negative effect is onlypresent in municipalities with high initial exposure to immigrants. Moreover, I provide someevidence for welfare-state channel as a plausible mechanism behind the main result.
    Date: 2018–01
    URL: http://d.repec.org/n?u=RePEc:pit:wpaper:6471&r=agr
  67. By: Schwenke, Eric; Davis, Todd
    Abstract: This poster reports the return to on-farm and commercial storage for Western Kentucky corn and soybeans for the 2000 to 2016 crops. The risk management potential provided by a storage hedge with the July corn and soybean futures contract is demonstrated.
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266702&r=agr
  68. By: Wimmer, Stefan G.; Sauer, Johannes
    Keywords: Productivity Analysis and Emerging Technologies, Food and Agricultural Policy Analysis, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274382&r=agr
  69. By: Elbakidze, Levan; He, YIming
    Keywords: Production Economics, Food Safety and Nutrition, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274328&r=agr
  70. By: Gilmour, Daniel N.; Nayga, Rodolfo M.; Bazzani, Claudia; Price, Heather
    Keywords: Food Consumption/Nutrition/Food Safety, Marketing
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266668&r=agr
  71. By: Osti, Surendra; Bampasidou, Maria; Fannin, J. Matthew
    Keywords: Production Economics, Household and Labor Economics, Ag Finance and Farm Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274339&r=agr
  72. By: Chakravarty, Shourish; Mullally, Conner
    Keywords: Community/Rural/Urban Development, International Development, Land Economics/Use
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266696&r=agr
  73. By: Geng, Xin; Janssens, Wendy; Kramer, Berber
    Keywords: Food and Agricultural Marketing, Ag Finance and Farm Management, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273823&r=agr
  74. By: Davidson, Kelly A.; Kropp, Jaclyn D.
    Keywords: Food Consumption/Nutrition/Food Safety, Food Security and Poverty, International Development
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266582&r=agr
  75. By: Pascale Phelinas (CESSMA UMRD 245 - Centre d'études en sciences sociales sur les mondes africains, américains et asiatiques - IRD - Institut de Recherche pour le Développement - Inalco - Institut National des Langues et Civilisations Orientales - UPD7 - Université Paris Diderot - Paris 7); Johanna Choumert (EDI - Economic Development Initiatives - Economic Development Initiatives [EDI])
    Date: 2018–09–17
    URL: http://d.repec.org/n?u=RePEc:hal:wpaper:ird-01875358&r=agr
  76. By: Elena Serfilippi; Michael Carter; Catherine Guirkinger
    Abstract: In discussing the paradoxical violation of expected utility theory that now bears his name, Maurice Allais noted that individuals tend to “greatly value” payoffs that are certain. Allais' observation would seem to imply that people will undervalue insurance relative to the predictions of expected utility theory because as conventionally constructed, insurance offers an uncertain benefit in exchange for a certain cost that certainty-loving individuals will overvalue. Pursuing this logic, we implemented insurance games with cotton farmers in Burkina Faso. On average, farmer willingness to pay for insurance increases significantly when a premium rebate framing is used to render both costs and benefits of insurance uncertain. We show that the impact of the rebate frame on the willingness to pay for insurance is driven by those farmers who exhibit a well-defined discontinuous preference for certainty, a concept that we adapt from the u-v model of utility and measure with a novel behavioral experiment. Given that the potential impacts of insurance for small scale farmers are high, and yet demand for conventionally framed contracts is often low, the insights from this paper suggest welfare-enhancing ways of designing insurance for low-income farmers.
    JEL: D03 Q12
    Date: 2018–09
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:25026&r=agr
  77. By: Biswas, Trina; Wu, Feng; Guan, Zhengfei; Valld, Gary
    Keywords: Crop Production/Industries
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266708&r=agr
  78. By: Meerza, Syed Imran Ali; Giannakas, Konstantinos; Yiannaka, Amalia
    Keywords: Food and Agricultural Policy Analysis, Industrial Org./Supply Chain Management, Agribusiness Economics and Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273858&r=agr
  79. By: Kandilov, Amy; Kandilov, Ivan T.
    Keywords: Household and Labor Economics, Agribusiness Economics and Management, Behavioral & Institutional Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274175&r=agr
  80. By: Kabir, Kayenat; Hertel, Thomas W.; Baldos, Uris Lantz C.
    Keywords: Production Economics, Research Methods/Econometrics/Stats, International Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274345&r=agr
  81. By: Fatema, Naureen; Kibriya, Shahriar
    Keywords: International Development, Household and Labor Economics, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274239&r=agr
  82. By: Davis, Todd; Jaromczyk, Jerzy; Mark, Tyler
    Keywords: Agricultural and Food Policy
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266664&r=agr
  83. By: Moore, Zachary
    Keywords: Risk and Uncertainty
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266711&r=agr
  84. By: Hovhannisyan, Vardges; Shanoyan, Aleksan
    Keywords: Demand and Price Analysis, Food and Agricultural Policy Analysis, Food and Agricultural Marketing
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273987&r=agr
  85. By: Richard H. Rijnks (Univesity of Groningen); Stephen Sheppard (Williams College)
    Abstract: A difficulty in identifying the contribution of structure and neighborhood attributes to the market value of residential property is the lack of data on subjective characteristics of the neighborhood (friendliness of neighbors, proximity to friends and acquaintances) or difficult-to-observe subjective attributes of the structure itself (such as "curb appeal" or the presence of unpleasant odors). Concern may also arise from the understanding that the observed market price of most residential property is the result of a process of bargaining. A buyer who is optimistic by nature may assume that the quality of the neighborhood will be wonderful, or that the unusual odor will eventually go away, and therefore be willing to bid a higher price for the structure than a prospective buyer who is more nervous about all the ways that a house purchase can generate disappointment. Estimates of the value of structure or neighborhood attributes may tell us as much about the emotional affect of the buyer as they do about the actual costs or benefits of the attributes (or of cleaning or mitigating them). These observations suggest that incorporating data on the levels of subjective well being (SWB) and emotional affect of the buyers might be usefully applied to improve hedonic analysis of housing markets. The goal of this paper is to undertake such analysis and to explore the potential for improved analysis of the value of residential property. We make use of unique data collected as part of a multi-year analysis of health outcomes, matched with data on market transactions of residential property in three provinces of the Netherlands. We employ the spatial model developed by Kelejian and Prucha (2010) which allows us to incorporate a spatial error specification, as well explicitly control for possible endogeneity between the measure of SWB and the transaction price. By examining aggregate measures of SWB at different spatial scales, we obtain insights into whether these measurements are capturing subjective characteristics of the community, the neighborhood or the structure and the buyer who negotiateover the eventual price.
    Keywords: Housing markets, hedonic models, subjective well-being
    JEL: R31 I31 R32 R21
    Date: 2018–10
    URL: http://d.repec.org/n?u=RePEc:wil:wileco:2018-05&r=agr
  86. By: Huseynov, Samir; Krajbich, Ian; Palma, Marco A.
    Keywords: Behavioral & Institutional Economics, Food and Agricultural Marketing, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274135&r=agr
  87. By: Tanvir Pavel (Department of Economics, Florida International University); Syed Hasan (School of Economics and Finance, Massey University, New Zealand); Naï¬ sa Halim (Department of Global Health, Boston University); Pallab Mozumder (Department of Earth and Environment and Department of Economics, Florida International University)
    Abstract: We analyse internal migration triggered by natural disasters in Bangladesh. We conducted a survey in nine coastal districts and two major cities in Bangladesh to investigate whether floods and cyclones, which can be considered as transient shocks, affect interregional migration differently compared to riverbank erosion that causes loss of lands and thus generates shocks that are permanent in nature. Our ï¬ ndings suggest that transient shocks induce households to move to nearby cities while permanent shocks push people to big cities with more opportunities. Comparing income and expenditure of migrants and non-migrant households, we ï¬ nd that the former group is better-off relative to their counterpart, indicating that welfare can be improved by facilitating migration. Rising exposure to climate change induced natural disasters around the world imply that our ï¬ ndings will be increasingly relevant for designing policies to address vulnerability, particularly for disaster prone countries with weak social safety nets.
    Keywords: Climate change, Natural disaster, Coastal area, Permanent shock, Transient shocks, Internal migration
    JEL: I38 Q54 Q56 R23
    Date: 2018–10
    URL: http://d.repec.org/n?u=RePEc:fiu:wpaper:1806&r=agr
  88. By: Ismail, Mehreen; Wilde, Parke E.; Ver Ploeg, Michele L.
    Keywords: Food Safety and Nutrition, Food and Agricultural Policy Analysis, Household and Labor Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273902&r=agr
  89. By: Muthee, Florence; Wailes, Eric J.; Durand-Morat, Alvaro
    Keywords: International Development
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266621&r=agr
  90. By: López Barrera, Emiliano; Lowenberg-DeBoer, James M.
    Keywords: Rural/Community Development, Industrial Org./Supply Chain Management, International Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274482&r=agr
  91. By: Qushim, Berdikul; Wu, Feng; Guan, Zhengfei
    Keywords: Production Economics, Risk and Uncertainty, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274362&r=agr
  92. By: Samuel Garrido (Universitat Jaume I, Spain)
    Abstract: Since the 1950s a substantial part of all European wine has come from cooperative wineries, which since their appearance around the year 1900 have mostly produced cheap, poor quality wine. This paper discusses whether this has been a consequence of their inability to solve a collective action problem. After showing that this is not so, it examines why cooperatives concentrated on the production of bad wine and studies why their market share was small before the 1950s. Lastly, it uses data from Spain to analyse the factors determining the creation of cooperative wineries in the early twentieth century.
    Keywords: Wine, Winemaking Cooperatives, Cooperation, Collective Action
    JEL: N53 N54 Q13 L66
    Date: 2018–10
    URL: http://d.repec.org/n?u=RePEc:ahe:dtaehe:1807&r=agr
  93. By: Xie, Zhongmin; Zhu, Xinkai; Lopez, Rigoberto A.
    Keywords: International Trade, International Development, Agribusiness Economics and Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274266&r=agr
  94. By: Chen, Zhangliang; Dall'Erba, Sandy
    Keywords: Research Methods/Econometrics/Stats, Food and Agricultural Policy Analysis, Risk and Uncertainty
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274398&r=agr
  95. By: Dusoruth, Vaneesha; Peterson, Hikaru Hanawa
    Keywords: Behavioral & Institutional Economics, Resource and Environmental Policy Analysis, Food Safety and Nutrition
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274132&r=agr
  96. By: Jolaoso, Enoch; Asirvatham, Jebaraj
    Keywords: Financial Economics, International Development
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266705&r=agr
  97. By: Lee, Daemyung; Boys, Kathryn A.
    Keywords: Food Safety and Nutrition, Agribusiness Economics and Management, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273894&r=agr
  98. By: Padilla, Samantha; Liverpool-Tasie, Lenis S.
    Keywords: Agribusiness Economics and Management, Ag Finance and Farm Management, Risk and Uncertainty
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273770&r=agr
  99. By: Shibia, Mumina; Rahman, Shaikh Mahfuz; Devadoss, Stephen
    Keywords: Food Security and Poverty, Production Economics, Risk and Uncertainty
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266690&r=agr
  100. By: Chen, Junhong; Ortega, David L.; Wang, Hong Holly
    Keywords: Food and Agricultural Marketing, Food Safety and Nutrition, Demand and Price Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274069&r=agr
  101. By: Oumer, Ali M.; Burton, Michael
    Keywords: Food and Agricultural Policy Analysis, Natural Resource Economics, Rural/Community Development
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273871&r=agr
  102. By: Yu, Jina; Wu, Felicia; Hennessy, David A.
    Keywords: Food Safety and Nutrition, Ag Finance and Farm Management, Productivity Analysis and Emerging Technologies
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273914&r=agr
  103. By: Ma, Wanglin; Renwick, Alan; Bicknell, Kathryn
    Keywords: Research Methods/Econometrics/Stats, Agribusiness Economics and Management, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274394&r=agr
  104. By: Li, Zhi; Zhang, Xin; Xu, Wenchao
    Keywords: Experimental Economics, Natural Resource Economics, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274048&r=agr
  105. By: Yao, Becatien H.; Shanoyan, Aleksan
    Keywords: International Development, Ag Finance and Farm Management, Productivity Analysis and Emerging Technologies
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274225&r=agr
  106. By: Malone, Trey; Melstrom, Richard T.
    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:aaea18:274404&r=agr
  107. By: Danelon, André F.; Spolador, Humberto F.S.; Bergtold, Jason S.
    Keywords: Production Economics, Food and Agricultural Policy Analysis, Natural Resource Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274330&r=agr
  108. By: Cleary, Rebecca; Cho, Clare; Jablonski, Becca B. R.
    Keywords: Food Safety and Nutrition, Food and Agricultural Policy Analysis, Food and Agricultural Marketing
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273903&r=agr
  109. By: Diewert, Erwin; Marandola, Tina
    Abstract: Statistical agencies increasingly are able to collect detailed price and quantity information from retailers on sales of consumer products. Thus elementary price indexes (which are indexes constructed at the first stage of aggregation for closely related products) can now be constructed using this price and quantity information, whereas previously, statistical agencies had to construct elementary indexes using just retail outlet collected information on prices alone. Thus superlative indexes can now be constructed at the elementary level, which in theory, should lead to more accurate Consumer Price Indexes. However, retailers frequently sell products at heavily discounted prices, which lead to large increases in purchases of these products. This volatility in prices and quantities will generally lead to a chain drift problem; i.e., when prices return to their “normal†levels, quantities purchased are frequently below their “normal†levels and this leads to a downward drift in a superlative price index. The paper addresses this problem and looks at the likely bias in various index number formulae that are commonly used. The bias estimates are illustrated using some scanner data on the sales of frozen juice products that are available online.
    Keywords: Jevons, Dutot, Carli, Unit Value, Laspeyres, Paasche
    JEL: C43 C81 E31
    Date: 2018–10–10
    URL: http://d.repec.org/n?u=RePEc:ubc:pmicro:tina_marandola-2018-9&r=agr
  110. By: Carter, Colin Andre; Saitone, Tina L.; Schaefer, K. Aleks
    Keywords: International Trade, Food and Agricultural Policy Analysis, Industrial Org./Supply Chain Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274270&r=agr
  111. By: Bedell, Willie B.
    Keywords: Environmental Economics and Policy
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266786&r=agr
  112. By: Lecoutere, Els; Van Campenhout, Bjorn
    Abstract: In developing countries, a lack of intrahousehold cooperation among members of smallholder agricultural households may result in the inefficient allocation of productive resources. This article estimates the impact of intrahousehold cooperation on household welfare and household public goods provision, using the random encouragement for an intervention intended to stimulate cooperation as an instrument, among smallholder coffee farming households in Uganda and Tanzania. We demonstrate that improved cooperation has substantial positive effects on household income per capita and on the likelihood of household food security. The likelihood of investing in agricultural production, an important public good in these households, is greatly increased by improved cooperation as well. The downside is that, even with an intensive coaching package, the gains in cooperation are not spectacular. We conclude that stimulating intrahousehold cooperation is a promising path to stimulate efficiency, welfare and the provision of household public goods in agricultural households; but we warn against presenting the promotion of cooperation versus strengthening women’s bargaining power as a strict policy choice as it may well be that women gain bargaining power in cooperation.
    Keywords: Uganda; Tanzania; intrahousehold cooperation
    Date: 2018–10
    URL: http://d.repec.org/n?u=RePEc:iob:wpaper:201811&r=agr
  113. By: Minor, Josh; Campbell, Benjamin; Waltz, Clint; Berning, Joshua
    Date: 2018–01–17
    URL: http://d.repec.org/n?u=RePEc:ags:saea18:266602&r=agr
  114. By: Heerman, Kari E.; Sheldon, Ian M.
    Keywords: International Trade, Food and Agricultural Policy Analysis, Productivity Analysis and Emerging Technologies
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274279&r=agr
  115. By: Singh, Gurbir; Asirvatham, Jebaraj
    Keywords: Productivity Analysis and Emerging Technologies, Production Economics, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274378&r=agr
  116. By: Ortiz-Bobea, Ariel; Tack, Jesse B.
    Keywords: Productivity Analysis and Emerging Technologies, Environmental and Nonmarket Valuation, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274380&r=agr
  117. By: Che, Yuyuan; Feng, Hongli; Hennessy, David A.
    Keywords: Production Economics, Productivity Analysis and Emerging Technologies, Behavioral & Institutional Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274335&r=agr
  118. By: Lu, Xun; Goodwin, Barry K.; Ghosh, Sujit K.
    Keywords: Research Methods/Econometrics/Stats, Risk and Uncertainty, Food and Agricultural Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274390&r=agr
  119. By: Soliman, Tarek; Djanibekov, Utkur
    Keywords: Productivity Analysis and Emerging Technologies, Production Economics, Resource and Environmental Policy Analysis
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274374&r=agr
  120. By: Souza Monteiro, Diogo M.; Brockbank, Charlotte; Heron, Graeme
    Keywords: Agribusiness Economics and Management, Food Safety and Nutrition, Industrial Org./Supply Chain Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273785&r=agr
  121. By: Yu, Yang; Jaenicke, Edward C.
    Keywords: Food and Agricultural Policy Analysis, Food and Agricultural Marketing, Agribusiness Economics and Management
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273862&r=agr
  122. By: Staudigel, Matthias; Trubnikov, Aleksej
    Keywords: Demand and Price Analysis, Food and Agricultural Marketing, Research Methods/Econometrics/Stats
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273989&r=agr
  123. By: Le, Ngoc T.; Bampasidou, Maria; Scaglia, Guillermo
    Keywords: Agribusiness Economics and Management, Food and Agricultural Marketing, Risk and Uncertainty
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:273804&r=agr
  124. By: Khanna, Madhu; Wang, Weiwei; Wang, Michael
    Keywords: Resource and Environmental Policy Analysis, Natural Resource Economics, Production Economics
    Date: 2018–06–20
    URL: http://d.repec.org/n?u=RePEc:ags:aaea18:274450&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.