|
on Agricultural Economics |
By: | Santhosh, Harikrishnan; Mullen, Jeffrey D. |
Keywords: | Farm Management, Agricultural And Food Policy, Crop Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344035 |
By: | Beckman, Jayson; Dong, Fengxia; Ivanic, Maros; Jägermeyr, Jonas; Villoria, Nelson |
Abstract: | Increasing agricultural productivity is vital to ensure that global food demand can be met. However, the impact of a changing climate on temperatures and precipitation could potentially influence agricultural productivity by affecting crop yields. This report combines the latest estimates of yield changes from the Agricultural Model Intercomparison and Improvement Project with projections of future productivity changes in the form of total factor productivity (TFP) to gain a better understanding of the future of agricultural production (and thus of food supply). Yield estimates are used from a high greenhouse gas emissions scenario (to show an upper bound, as the impact of climate on yields is the strongest) for corn, rice, soybeans, and wheat. Yield changes are then combined with TFP estimates across four scenarios where research and development (R&D) assumptions determine the rate of TFP growth. Finally, the changes in yields and TFP, in conjunction with changes in populations and incomes, are assessed to shape the projected state of food supply in 2050. The results suggest that with no additional R&D expenditures, climate change would result in a production-consumption gap. When R&D investments are increased by amounts corresponding to the remaining three scenarios, TFP growth is sufficient to mitigate the impacts of climate change and projected population/income growth to maintain production at a level to meet global demand for food. |
Keywords: | Climate Change, Crop Production/Industries, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, International Relations/Trade, Productivity Analysis, Research and Development/Tech Change/Emerging Technologies, Research Methods/ Statistical Methods |
Date: | 2024–07 |
URL: | https://d.repec.org/n?u=RePEc:ags:uersrr:344129 |
By: | Amon, Kelvin; Wade, Tara; Gao, Zhifeng |
Keywords: | Agribusiness, Farm Management, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344039 |
By: | Myeong, Su-hwan; Nam, Kyungsoo |
Keywords: | Agricultural And Food Policy, Risk And Uncertainty, Farm Management |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343797 |
By: | Cai, Yetian; Weng, Weizhe |
Keywords: | Agribusiness, Agricultural And Food Policy, International Relations/Trade |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343794 |
By: | Thomas Cherico Wanger; Estelle Raveloaritiana; Siyan Zeng; Haixiu Gao; Xueqing He; Yiwen Shao; Panlong Wu; Kris A. G. Wyckhuys; Wenwu Zhou; Yi Zou; Zengrong Zhu; Ling Li; Haiyan Cen; Yunhui Liu; Shenggen Fan |
Abstract: | China is the leading crop producer and has successfully implemented sustainable development programs related to agriculture. Sustainable agriculture has been promoted to achieve national food security targets such as food self-sufficiency through the well-facilitated farmland construction (WFFC) approach. The WFFC is introduced in Chinas current national 10-year plan to consolidate farmlands into large and simplified production areas to maximise automation, and improve soil fertility and productivity. However, research suggests that diversified and smaller farms faciliate ecosystem services, can improve yield resilience, defuse human health threats, and increase farm profitability. Currently, WFFC has not considered ecological farmland improvements and it may miss long-term environmental benefits including ecosystem service preservation conducive to yields. Moreover, the nutritional status in China has changed in recent decades with undernutrition being dramatically reduced, but the prevalence of overweight, obesity, and chronic diseases being increased. While a strategic choice and management of crop and livestock species can improve nutrition, the environmental and production benefits of agricultural diversification are currently not well interlinked with Chinas food and nutrition security discussions. Lastly, the role of agricultural technology for socioeconomic benefits and the link with diversified agricultural production may provide vast benefits for food security. Here, we focus on the opportunities and co-benefits of agricultural diversification and technology innovations to advance food and nutrition security in China through ecosystem service and yield benefits. Our applied five-point research agenda can provide evidence-based opportunities to support China in reaching its ambitious food security targets through agricultural diversification with global ramifications. |
Date: | 2024–07 |
URL: | https://d.repec.org/n?u=RePEc:arx:papers:2407.01364 |
By: | Kakpo, Ange T.; Tabe-Ojong, Martin Paul |
Keywords: | Environmental Economics And Policy, Agricultural And Food Policy, Land Economics/Use |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344076 |
By: | Mobarok, Mohammad H.; Thompson, Wyatt |
Keywords: | Demand And Price Analysis, Agricultural And Food Policy, Food Security And Poverty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343705 |
By: | Schling, Maja; Saenz, Magaly |
Keywords: | Land Economics/Use, Agricultural And Food Policy, International Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343527 |
By: | Beatty, Timothy; Ambrozek, Charlotte; Pagan, Gina |
Keywords: | Agricultural And Food Policy, Food Security And Poverty, Institutional And Behavioral Economics |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343887 |
By: | Hartarska, Valentina M.; Adjei, Eugene; Nadolnyak, Denis A. |
Keywords: | Agricultural And Food Policy, Environmental Economics And Policy, Land Economics/Use |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343767 |
By: | Posey, Sean; Grant, Jared D. |
Keywords: | Food Consumption/Nutrition/Food Safety, Food Security And Poverty, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343676 |
By: | Rawaa Laajimi (INRAE); Laurence Delattre (LEM); Hubert Jayet (LEM) |
Abstract: | If the characteristics and location of farms and consumers involved in short food supply chain (SFSC) are well studied, especially for on-farm sales, the location of off-farm points of sale—as interaction points between supply and demand—has not been much analyzed, especially from a quantitative perspective. Though, a better understanding of the factors favoring and impeding the emergence of such points of sale could be valuable for producers (farmers), sellers (farmers or intermediaries), consumers (through consumers driven initiatives), and also for policymakers. To fill this gap, we have compiled an original database from local, regional, and national websites for the year 2020 and geolocalized more than 500 points of sale (pick-up point for sale by internet, pick-up point for community supported agriculture, producers' collective stores, markets, and retail stores) in two French departments (Nord and Pas-de-Calais). We account for the local environment of each point of sales, both in terms of potential supply of agricultural products and potential food demand, by relying on distance-weighted variables (inspired by the concept of market potential). We then |
Date: | 2024–06–29 |
URL: | https://d.repec.org/n?u=RePEc:boc:fsug24:25 |
By: | Zhou, Jiajun; Mennig, Philipp; Sauer, Johannes |
Keywords: | Production Economics, Productivity Analysis, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343528 |
By: | Wang, Tong; Jin, Hailong |
Keywords: | Research And Development/ Tech Change/Emerging Technologies, Agricultural And Food Policy, Farm Management |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343974 |
By: | Melo, Grace; Palma, Marco A.; Ribera, Luis A. |
Keywords: | Agricultural And Food Policy, Agribusiness, Consumer/ Household Economics |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343870 |
By: | Morgan, Stephen N.; Padilla, Samantha |
Keywords: | International Relations/Trade, Agricultural And Food Policy, Demand And Price Analysis |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343749 |
By: | De Carvalho Reis Neves, Mateus; De Figueiredo Silva, Felipe; Freitas, Carlos Otavio |
Keywords: | Agribusiness, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343652 |
By: | Zheng, Yanan; Yang, Meng; An, Henry; Qiu, Feng |
Keywords: | Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343647 |
By: | Panyi, Amadeo F.; Raper, Kellie Curry; Peel, Derrell |
Keywords: | Agricultural And Food Policy, Marketing, Livestock Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343834 |
By: | Zheng, Yanan; Goodhue, Rachael E. |
Keywords: | Farm Management, Crop Production/Industries, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343560 |
By: | Okrent, Abigail M.; Zhen, Chen; Wang, Shaonan |
Keywords: | Demand And Price Analysis, Food Consumption/Nutrition/Food Safety, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343838 |
By: | Wang, Xiangrui; Kong, Xiangwen |
Keywords: | Agricultural And Food Policy, Livestock Production/Industries, Community/Rural/Urban Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343573 |
By: | Akinwehinmi, Oluwagbenga J.; Colen, Liesbeth |
Keywords: | Food Consumption/Nutrition/Food Safety, Consumer/ Household Economics, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343674 |
By: | Jeong, Junyoung; Cai, Yongyang; Roe, Brian E. |
Keywords: | Environmental Economics And Policy, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343720 |
By: | Afesorgbor, Sylvanus Kwaku; Kornher, Lukas; Santeramo, Fabio G. |
Keywords: | Agribusiness, Food Security And Poverty, International Relations/Trade |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343703 |
By: | Fiankor, Dela-Dem Doe; Dalheimer, Bernhard; Mack, Gabriele |
Keywords: | International Relations/Trade, Agricultural And Food Policy, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343952 |
By: | Sariman, Sevval Buse; Rudi Polloshka, Jeta; Caputo, Vincenzina |
Keywords: | Food Consumption/Nutrition/Food Safety, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343684 |
By: | Lis-Castiblanco, Catherine; Jordi, Louis |
Keywords: | Production Economics, Environmental Economics And Policy, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343569 |
By: | Woo, Sunghwi; Thompson, Wyatt; Arita, Shawn |
Keywords: | Production Economics, Agricultural And Food Policy, Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343907 |
By: | Nguyen, Nhu; Reeling, Carson; Verdier, Valentin |
Keywords: | Agricultural And Food Policy, Environmental Economics And Policy, Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343675 |
By: | Hoeschle, Lisa; Wang, Hong Holly; Yu, Xiaohua |
Keywords: | Food Security And Poverty, Agricultural And Food Policy, Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343686 |
By: | Chen, Kevin; Hu, Shuang; Ji, Chen |
Keywords: | Agribusiness, Environmental Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344015 |
By: | Li, Yi; Huang, Kuan-Ming; Guan, Zhengfei |
Keywords: | Agricultural Finance, Agribusiness, Production Economics |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344053 |
By: | Chauhan, Milan; Lubben, Bradley D. |
Keywords: | Agricultural And Food Policy, Risk And Uncertainty, Livestock Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343813 |
By: | McWilliams, William N.; Isengildina Massa, Olga; Stewart, Shamar L. |
Keywords: | Demand And Price Analysis, Agricultural And Food Policy, Risk And Uncertainty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343923 |
By: | Kim, Dongin; Steinbach, Sandro; Zurita, Carlos |
Keywords: | International Relations/Trade, International Development, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343898 |
By: | Sharma, Priyanka; Shanoyan, Aleksan; Yao, Becatien H. |
Keywords: | Agribusiness, Agricultural Finance, Production Economics |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344059 |
By: | Liu, Yizao; Fan, Linlin; Zhang, Yuxiang |
Keywords: | Agricultural And Food Policy, Food Consumption/Nutrition/Food Safety, Industrial Organization |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343726 |
By: | Adewale, Caleb I.; Ndyomugyenyi, Elly K.; Mugonola, Basil |
Keywords: | Farm Management, Agribusiness, Livestock Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343783 |
By: | Jayasekera, Deshamithra H W; Melkani, Aakanksha; Mieno, Taro |
Keywords: | Demand And Price Analysis, Agricultural And Food Policy, Environmental Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343932 |
By: | Ghosh, Surajit; Mallick, A.; Dawn, A.; De Sarkar, K.; Chowdhury, A.; Kour, S.; Ghosh, A.; Holmatov, Bunyod |
Abstract: | The report presents the prime aims, objectives, discussions and insights from the “Training Workshop on Digital Data and Tools for Managing Agriculture: Focusing on Earth Observation Data and Climate Change” organized at IIIT Bhubaneshwar from 21st to 23rd December 2023. The workshop was attended by 81 participants and jointly conducted by IIIT Bhubaneshwar, IWMI, and IEEE GRSS Kolkata Chapter. The primary objective of the workshop was to equip participants with practical skills and knowledge to utilize digital data and tools, especially Earth observation data, for effective agricultural management in the context of climate change and make evidence-based decisions to confront challenges in the food system, urban water pollution, GHG emissions & nexus. The programme encompassed the challenges posed by population growth, climate change and urbanization on the water, food and energy nexus, and the need to address the complexities to achieve sustainable development and mitigate environmental impacts is necessary. Through various sessions, the workshop highlighted concerns about GHG emissions and their mitigation by transitioning to renewable energy, carbon capture and storage, water hyacinth mapping in urban and peri-urban wetlands, Artificial Intelligence/Machine Learning (AI/ML) applications for rice mapping, flood damage assessment, maternal, infant and young children nutrition deficit under extreme weather conditions, agricultural data collection tools and sustainable agriculture practices. The CGIAR’s Mitigate+: Low-Emission Food Systems Initiative focuses on reducing emissions from the food systems by developing robust science, data, and evidence (among other activities). Another initiative by CGIAR on Resilient Cities generates evidence, technologies, and capacities that help improve urban food systems and secure equitable job and business opportunities, healthy diets for all, human and environmental health, and a reduced carbon footprint. Both initiatives provided resources to support the training workshop to empower students, researchers, scientists, academicians, decision-makers, and policymakers with cutting-edge knowledge and tools to integrate digital data into agricultural management practices. Participants learned about the latest advancements in Earth observation technologies, big data analytics, and digital tools that can help predict and make robust, evidence-based decisions as they confront challenges in the food system, urban water pollution, strategies to reduce GHG emissions, and tackling the nexus challenges. Thus, the workshop was envisioned as a catalyst to empower the agricultural community with digital tools and data, fostering resilience and productivity in the face of climate change. The criticality of Earth Observation (EO) data and digital tools in informing agricultural management decisions was rigorously examined and elucidated through a comprehensive program comprising six keynote addresses, nine scholarly lectures and six practical demonstrations, all facilitated by esteemed national (including IIT Guwahati, IIWM, Assam University, OSDMA, SAADRI, and SPARC) and international institutions (such as IWMI, World Bank, and DLR). A pre-event catch up with the participants was held on the first day session as a social ice-breaking session. The discourse was further enriched by an expert panel discussion on the ‘Role of Digital Tools in Mitigating Climate Change Effects on Agriculture’, an intensive brainstorming session entitled ‘Data Science and Sustainability Challenge’ and a showcase of research presentation by the participants. These engagements highlighted the practical and innovative usages of EO data for managing agriculture in the context of climatic challenges and emphasized how such strategic applications contribute towards attaining the SDGs. Of the 82 participants, 63% are male, and 37% are female. Among the attendees, 52% were at the graduate and post-graduate level, while 26% of the participants were research scholars from various Indian institutions. Of the other participants, 22% were faculty and professionals. This diversity of participants demonstrates the programme’s appeal to different professionals and researchers. The participants come from multiple institutions, including renowned universities and research centres across India like IIT Roorkee, BIT Mesra, ISI Kolkata, Techno Main Salt Lake, IIT Kharagpur, IIT Mandi, Fakir Mohan University, KIIT, and many more. This institutional diversity indicates the programme’s broader reach and appeal among academic and research organizations. These analytics provide valuable insights into the participants’ gender distribution, designations, education levels, and institutional affiliations. The inclusivity and diversity, reflected in gender representation and institutional affiliations, created a dynamic and comprehensive learning community. The diverse curriculum gave them valuable knowledge and skills to solve real-life challenges associated with major natural disasters. |
Keywords: | Agribusiness, Climate Change, Research and Development/Tech Change/Emerging Technologies |
Date: | 2023–12–31 |
URL: | https://d.repec.org/n?u=RePEc:ags:iwmicp:344116 |
By: | Asravor, Jacob; Wiredu, Alexander Nimo; Zeller, Manfred |
Keywords: | Production Economics, Productivity Analysis, Crop Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344063 |
By: | Zheng, Yixing; Grant, Jason; Legrand, Nicolas |
Keywords: | International Relations/Trade, Food Security And Poverty, Environmental Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343988 |
By: | Hammami, A.Malek; Li, Yi; Guan, Zhengfei |
Keywords: | International Relations/Trade, Land Economics/Use, Crop Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343992 |
By: | Nutsugah, Godwin K.; McCullough, Ellen |
Keywords: | International Development, Institutional And Behavioral Economics, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343582 |
By: | Deb, Prokash; Li, Wenying; Sawadgo, Wendiam |
Keywords: | Demand And Price Analysis, Agricultural And Food Policy, Food Security And Poverty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343809 |
By: | Xu, Wenyan; Gao, Ming; Zhu, Chen |
Keywords: | Agricultural And Food Policy, Land Economics/Use, Labor And Human Capital |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343587 |
By: | Zanello, Giacomo; Srinivasan, Chittur S.; Haenssgen, Marco |
Keywords: | Food Consumption/Nutrition/Food Safety, Agricultural And Food Policy, Health Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343737 |
By: | Ollinger, Michael E.; Lim, Kar Ho; Evans, Peter |
Keywords: | Food Consumption/Nutrition/Food Safety, Industrial Organization, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343832 |
By: | Ferrier, Peyton M.; Saavoss, Monica; Williamson, Samuel |
Keywords: | Agricultural And Food Policy, Demand And Price Analysis, Production Economics |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343787 |
By: | Kim, Hyeon-Woong; Sung, Jae-hoon |
Keywords: | Agricultural And Food Policy, Environmental Economics And Policy, Community/Rural/Urban Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343815 |
By: | De La O Campos, Ana Paula; Covarrubias, Katia A. |
Keywords: | Consumer/ Household Economics, Risk And Uncertainty, Food Security And Poverty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343756 |
By: | Pauline Pedehour (GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, CONFLUENCES - SFR UA 4201 Confluences - UA - Université d'Angers); Marianne Lefebvre (GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, CONFLUENCES - SFR UA 4201 Confluences - UA - Université d'Angers) |
Abstract: | The aim of this study was to investigate the preferences for a water conservation scheme that has not yet been implemented by combining digital tools with pilot irrigation and incentives for farmers to adopt deficit irrigation. We conducted a Q-study with 25 farmers and irrigation advisors in two French watersheds highly dependent on irrigation. We found that the material implementation of the scheme (sensors, smartphone app...) is largely accepted. However, the incentive design is less consensual, i.e., how irrigation performance is defined and what is at stake for those performing better in deficit irrigation. A wider survey with 202 farmers allows to assess how the four profiles highlighted with the Q-study distribute in the farming population of the two watersheds. This study contributes to understanding how farmers perceive a combination of technological levers and incentives to foster water conservation. |
Keywords: | Deficit Irrigation, Water, Agriculture, Q method, Technology acceptance, Water allocation scheme |
Date: | 2023–11–13 |
URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04626643 |
By: | Baugh, Kaylyn; Dharmasena, Senarath |
Keywords: | Agricultural And Food Policy, Food Security And Poverty, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343933 |
By: | Badio, Levenson; Zapata, Samuel D. |
Keywords: | Agricultural And Food Policy, Consumer/ Household Economics, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343972 |
By: | Chen, Le; Boyer, Christopher N.; Smith, Aaron |
Keywords: | Agricultural Finance, Farm Management, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343617 |
By: | Ambrozek, Charlotte; Beatty, Timothy; Zhan, Wenjie |
Keywords: | Food Consumption/Nutrition/Food Safety, Agricultural And Food Policy, Food Security And Poverty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343905 |
By: | Sydney Balboni; Grace Ivey; Brett Storoe; John Cisler; Tyge Plater; Caitlyn Grant; Ella Bruce; Benjamin Paulson |
Abstract: | Price volatility in global food commodities is a critical signal indicating potential disruptions in the food market. Understanding forthcoming changes in these prices is essential for bolstering food security, particularly for nations at risk. The Food and Agriculture Organization of the United Nations (FAO) previously developed sophisticated statistical frameworks for the proactive prediction of food commodity prices, aiding in the creation of global early warning systems. These frameworks utilize food security indicators to produce accurate forecasts, thereby facilitating preparations against potential food shortages. Our research builds on these foundations by integrating robust price security indicators with cutting-edge deep learning (DL) methodologies to reveal complex interdependencies. DL techniques examine intricate dynamics among diverse factors affecting food prices. Through sophisticated time-series forecasting models coupled with a classification model, our approach enhances existing models to better support communities worldwide in advancing their food security initiatives. |
Date: | 2024–06 |
URL: | https://d.repec.org/n?u=RePEc:arx:papers:2407.00698 |
By: | Britwum, Kofi; Demont, Matty |
Keywords: | Marketing, Consumer/ Household Economics, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343802 |
By: | Li, Yuansen; Tolhurst, Tor N. |
Keywords: | Agricultural And Food Policy, Research Methods/Statistical Methods, International Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343921 |
By: | Sambucci, Olena; Sumner, Daniel A.; Lee, Sangwon |
Keywords: | Demand And Price Analysis, Agricultural And Food Policy, Marketing |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343943 |
By: | Shakil, Golam Saroare; Marsh, Thomas L. |
Keywords: | Livestock Production/Industries, Productivity Analysis, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343967 |
By: | Rabinovich, Elliot; Chenarides, Lauren; Richards, Timothy J. |
Keywords: | Industrial Organization, Marketing, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343649 |
By: | Hwang, Jeongha; Kim, Kwansoo |
Keywords: | Agricultural And Food Policy, Food Consumption/Nutrition/Food Safety, Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344046 |
By: | Cyrielle Gaglio (University of Helsinki); Simone Pfuderer (University of Reading); Bodo Steiner (University of Helsinki) |
Abstract: | This presentation aims to improve our understanding of the role of trust in the context of sustainability initiatives, from multiple supply chain (consumer and producer) perspectives, employing a set of logistic regression models. First, it analyzes consumer preferences regarding sustainability initiatives that food supply chain stakeholders (farmers, retailers, food processors, food service providers) could potentially implement from a consumer perspective to increase consumer trust. This consumer perspective is then contrasted with a producer perspective, where we aim to understand the drivers of producers' trust into externally provided sustainability initiatives (certi |
Date: | 2024–06–29 |
URL: | https://d.repec.org/n?u=RePEc:boc:fsug24:24 |
By: | Rojas, Christian; Jaenicke, Edward C.; Page, Elina T. |
Keywords: | Industrial Organization, Agricultural And Food Policy, Demand And Price Analysis |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343770 |
By: | Saha, Roshan; Taylor, Mykel R.; Hartarska, Valentina M. |
Keywords: | Agricultural Finance, International Development, Risk And Uncertainty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343873 |
By: | Padilla, Samantha; Baker, Quinton J. |
Keywords: | International Relations/Trade, Livestock Production/Industries, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343597 |
By: | Gill, Mackenzie; Costanigro, Marco; Berry, Chris |
Keywords: | Marketing, Consumer/ Household Economics, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343983 |
By: | Kim, Hyeon-Woong; Sung, Jae-hoon |
Keywords: | Agricultural And Food Policy, Environmental Economics And Policy, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343816 |
By: | Tong, Jingyi; Bartalotti, Otavio C.; Zhang, Wendong |
Keywords: | Farm Management, Land Economics/Use |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343808 |
By: | Panknin, Lea; Boy, Karl-Friedrich; Henning, Christian H.C.A. |
Keywords: | Agricultural And Food Policy, Political Economy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343740 |
By: | Bahrami, Shahin; Rouhi Rad, Mani; Nayga, Rodolfo M. |
Keywords: | Environmental Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343986 |
By: | Lim, Changsik; Kim, Miwha; Im, Jeongbin |
Keywords: | International Development, International Relations/Trade, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343626 |
By: | Clark, Harrison; Chen, Xuqi; Yenerall, Jackie |
Keywords: | Food Consumption/Nutrition/Food Safety, Consumer/ Household Economics, Marketing |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343781 |
By: | Wasserman-Olin, Rebecca; Jablonski, Becca B. R. |
Keywords: | Agricultural And Food Policy, Public Economics, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344013 |
By: | Yang, Yao; McKenzie, Andrew M. |
Keywords: | Demand And Price Analysis, Agricultural Finance, Production Economics |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343618 |
By: | Cornejo, Magdalena; Merener, Nicolas; Merovich, Ezequiel |
Keywords: | Agricultural Finance, Financial Economics, Marketing |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343690 |
By: | Li, Minghao; Bucheli, Jose; Zhang, Wendong |
Keywords: | Agricultural And Food Policy, Labor And Human Capital |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344058 |
By: | Otgun, Hanifi; Fulginiti, Lilyan E.; Perrin, Richard K. |
Keywords: | Productivity Analysis, Production Economics, International Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343572 |
By: | Weinrich, Ramona; Petersen, Thies; Hirsch, Stefan |
Keywords: | Marketing, Food Consumption/Nutrition/Food Safety, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343725 |
By: | Taneja, Garima; Buisson, Marie-Charlotte |
Abstract: | Mangrove forests are one of the most impactful carbon-trapping ecosystems, they are effective at locking away vast amounts of "blue carbon" and the IPCC (IPCC, 2022) report encourages the protection of coastal vegetative ecosystems as part of integrated coastal resource management. Mangrove also strengthens resilience to climate change by reducing the impacts of sea level rise, saltwater intrusion, cyclones, and floods. Mangrove forests in Vietnam are currently under threat from expansion of shrimp aquaculture. However, their role in the food systems of coastal and island communities is often ignored. For instance, they provide woods for cooking, its fruits (from the keora trees) are collected and sold especially by women, and it also hosts a rich ecosystem including aquatic foods and acts as breeding and nursery ground for economically and nutritionally important fish species. Mangrove afforestation programs can, in that sense, be considered as Low Emission Food Systems technologies, including in MITIGATE+ target countries like Vietnam. This report reviews the literature on mangrove afforestation programs globally to identify the enablers and drivers of scaling. Specifically, the programs are characterized to identify the technologies and innovations in place, and the governance models and institutional drivers are assessed. Thus, the report is divided into four sections. The first section presents a global overview of mangrove plantations, their historical and present status, the drivers of mangrove deforestation globally and at country level. The second section reviews mangrove afforestation programs, the inception of these programs, their objectives and the governance and institutional models followed. The third section focuses on mangroves in Vietnam, it features some of the successful examples implemented in the country and analyses the supporting government policies. The last section is the conclusion which draws lessons on the factors required for successful mangrove restoration programs. |
Keywords: | Climate Change, Food Security and Poverty |
Date: | 2023–12–31 |
URL: | https://d.repec.org/n?u=RePEc:ags:iwmwpb:344120 |
By: | Koprucu, Yilmaz; Tastan, Huseyin; Onel, Gulcan |
Keywords: | International Relations/Trade, Demand And Price Analysis, Food Security And Poverty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344055 |
By: | Nouve, Yawotse; Zheng, Yuqing; Zhao, Shuoli |
Keywords: | Industrial Organization, Marketing, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343795 |
By: | Rigotti, Luca; LeRoux, Matthew N.; Schmit, Todd M. |
Keywords: | Agribusiness, Demand And Price Analysis, Marketing |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343558 |
By: | Zheng, Maoyong; Escalante, Cesar L. |
Keywords: | Agricultural Finance, Farm Management, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343857 |
By: | Owusu, Eric; Narrod, Clare A. |
Keywords: | Food Consumption/Nutrition/Food Safety, Agricultural And Food Policy, International Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343788 |
By: | Mo, Taejun; Dall'Erba, Sandy |
Keywords: | International Relations/Trade, Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343723 |
By: | Ferguson, Joel D.; Govaerts, Bram |
Keywords: | Agribusiness, Environmental Economics And Policy, Research And Development/ Tech Change/Emerging Technologies |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343753 |
By: | Koprucu, Yilmaz; Onel, Gulcan |
Keywords: | Demand And Price Analysis, Livestock Production/Industries, Health Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344049 |
By: | Dharmasena, Senarath; Dong, Diansheng |
Keywords: | Demand And Price Analysis, Consumer/ Household Economics, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344034 |
By: | Garcia-Suarez, Federico; Alvarez-Garcia, Camilo |
Keywords: | Production Economics, Productivity Analysis, Livestock Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343563 |
By: | Palmer, James “Jimmy” |
Keywords: | Agricultural Finance, Climate Change |
Date: | 2024–07–27 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344183 |
By: | Pracht, Wyatt; Dizon, Felipe; Yu, Jisang |
Keywords: | Production Economics, International Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343615 |
By: | Okunola, Akinbode M.; Dennis, Elliott J.; Beghin, John C. |
Keywords: | Agricultural And Food Policy, Health Economics And Policy, International Relations/Trade |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343599 |
By: | Kimsanova, Barchynai; Herzfeld, Thomas |
Keywords: | Agricultural And Food Policy, Political Economy, Demand And Price Analysis |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343596 |
By: | James A. Roumasset (Department of Economics, University of Hawaii at Manoa) |
Abstract: | Assertions of pervasive inefficiency in the behavior and organization of developing agriculture are found to be based on unsound methodologies. Models apparently based on expected utility theory are theoretically flawed and use highly restrictive assumptions that make them largely irrelevant for explaining actual decisions. When a more appropriate model is applied to the case of the green revolution in the Philippines, the hypothesis that loss aversion impedes adoption of new technology is rejected. Common assertions about the inefficiency of agricultural institutions are also found wanting. The risk-bearing theory share- tenancy, which is thought to imply high agency costs associated with effort shirking, cannot explain observed tenant shares. Once the disadvantages of fixed-lease contracts are recognized, sharing is plausibly second-best efficient. The purported inefficiency implied by the inverse relationship between farm size and yield per hectare also dissipates once the endogeneity of farm size is accounted for. In as much as efficiency can explain the stylized facts of behavior and organization in developing agriculture, policy recommendations based on misplaced exogeneity should be viewed with considerable skepticism. |
Keywords: | Loss-aversion, uncertainty, share tenancy, developing agriculture, nature of the firm |
JEL: | D01 G22 J43 O12 Q12 Q15 |
Date: | 2024–07 |
URL: | https://d.repec.org/n?u=RePEc:hai:wpaper:202403 |
By: | Park, Timothy A.; Holmes, Marionette |
Keywords: | Community/Rural/Urban Development, Productivity Analysis, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343903 |
By: | Lopez, Rigoberto A.; Mohapatra, Debashrita; Steinbach, Sandro |
Keywords: | Industrial Organization, Demand And Price Analysis, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343711 |
By: | Aya Suzuki (University of Tokyo); Susan Olivia (University of Waikato); Vu Hoang Nam (Faculty of International Economics, Foreign Trade University); Guenwoo Lee (Japan International Research Center for Agricultural Sciences) |
Abstract: | Disease outbreak is a major issue in aquaculture sector that may lead to a significant economic loss. While the source of disease is difficult to trace, understanding how it occurs is important in mitigating the problem. One important factor that has not received sufficient attention is the presence of spillover among fish farmers who are connected by waterways. In this paper, we examine the presence of spillover among shrimp farmers in Southern Vietnam based on the primary data. In particular, we quantify the effects of water pollution spillover of disease outbreak in one farm to another farm and the peer effects of farming practices among the neighbors. We solve the reflection problem posed by Manski (1993) by employing a method developed by Bramoullé et al. (2009) in social network analyses. Our findings indicate that neighbors' farming practices indeed positively affect a farmer's practices and the disease outbreak in neighbors' ponds affects the disease outbreak in a farmer's pond, even after controlling for contextual peer effects and correlated effects. The magnitude of negative effects from neighbors' ponds on disease outbreak may offset the positive effects from farmers' good farming practices, suggesting the importance of considering neighboring farmers as a group in addressing the issue of disease control. |
Keywords: | peer effect; shrimp farming; Vietnam |
JEL: | O12 Q10 Q56 D62 |
Date: | 2024–07–09 |
URL: | https://d.repec.org/n?u=RePEc:wai:econwp:24/04 |
By: | Zeballos, Eliana; Islamaj, Ergys; Sinclair, Wilson J. |
Keywords: | Consumer/ Household Economics, Demand And Price Analysis, Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343953 |
By: | Takeshima, Hiroyuki; Kishore, Avinash; Kumar, Anjani |
Keywords: | Production Economics, Productivity Analysis, Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343591 |
By: | Zheng, Maoyong; Escalante, Cesar L. |
Keywords: | Agricultural Finance, Farm Management, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343624 |
By: | Nava, Noé J.; Morgan, Stephen N.; Ridley, William |
Keywords: | International Relations/Trade, Land Economics/Use, Farm Management |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343532 |
By: | Funes Leal, Victor E.; Hutchins, Jared P. |
Keywords: | Industrial Organization, Food Security And Poverty, Research And Development/ Tech Change/Emerging Technologies |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343742 |
By: | Wang, Zhan; Hertel, Thomas W. |
Keywords: | International Relations/Trade, Land Economics/Use, Environmental Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343755 |
By: | Majeed, Fahd; Khanna, Madhu; Miao, Ruiqing |
Keywords: | Resource/Energy Economics And Policy, Environmental Economics And Policy, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344043 |
By: | Dang, Hai Anh H.; Jolliffe, Dean; Serajuddin, Umar; Stacy, Brian |
Abstract: | A country's statistical capacity takes an indispensable part in its development. We offer a comprehensive comparison between the World Bank's Statistical Performance Indicators and Index (SPI) and its predecessor, the Statistical Capacity Index (SCI) regarding different conceptual and empirical aspects. We further examine the relationships of the two indexes with some agriculture development indicators such as food security, food sustainability and productivity as well as other key indicators including headcount poverty, GDP per capita, and an SDG progress index. Our analysis employs the latest SPI data update in 2022, which were not available in previous studies. We also propose clear guidelines on how the SPI can be maintained and updated in the future to ensure that this process is transparent, replicable, safeguarded with high quality, and provides comparable data over time. |
Keywords: | food security; national statistical system; Statistical capacity; statistical capacity index; statistical performance |
JEL: | C1 |
Date: | 2024–06–11 |
URL: | https://d.repec.org/n?u=RePEc:ehl:lserod:124060 |
By: | Fiechter, Chad M.; Miller, Noah J.; Ifft, Jennifer; Nelson, Blaine |
Keywords: | Agricultural Finance, Financial Economics, Risk And Uncertainty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343924 |
By: | Mishra, Vikas; Ishdorj, Ariun |
Keywords: | Health Economics And Policy, Food Consumption/Nutrition/Food Safety, Agricultural And Food Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343600 |
By: | Kim, Hyunjung; Li, Tongzhe |
Keywords: | Research And Development/ Tech Change/Emerging Technologies, Institutional And Behavioral Economics, Farm Management |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344038 |
By: | Yu, Kihwan; Hendricks, Nathan P. |
Keywords: | Resource/Energy Economics And Policy, Production Economics, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343762 |
By: | Liu, Rui; Lopez Barrera, Emiliano |
Keywords: | Food Consumption/Nutrition/Food Safety, Food Security And Poverty, International Development |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343852 |
By: | Çakir, Metin; Li, Qingxiao; Zhang, Xiaowei; Gregory, Christian A. |
Keywords: | Food Consumption/Nutrition/Food Safety, Industrial Organization |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344056 |
By: | Boutin, Delphine (University of Bordeaux); Jouvin, Marine (University of Bordeaux); Olié, Louis |
Abstract: | This study investigates dishonest behavior among cocoa middlemen in Côte d'Ivoire, focusing on the role of observability and financial penalties in deterring such behavior. Using on a modified version of the "die-under-cup task", we examine the cheating behaviors of 151 cocoa middlemen over several interaction rounds. Our findings reveal that cheating is prevalent among cocoa middlemen, with 78% of players cheating at least once during the game. However, we found heterogeneous cheating patterns: 59% of cocoa middlemen consistently cheated when faced with a losing outcome, even when the risk of detection and sanction is high, 22% of them never cheated, and 19% did so occasionally. Key factors influencing cheating include age, religion, and risk attitudes. The study finds that introducing monitoring and sanctions significantly reduces cheating, highlighting the effectiveness of such mechanisms in deterring dishonest behaviors. By shedding light on the prevalence and determinants of cheating among cocoa middlemen, this study contributes to the experimental literature on dishonest behavior and understanding middlemen's role in agricultural value chains. |
Keywords: | dishonesty, middlemen, agricultural value chain, observability, financial penalties, lab-in-the-field experiment |
JEL: | C91 C93 D82 D91 |
Date: | 2024–06 |
URL: | https://d.repec.org/n?u=RePEc:iza:izadps:dp17078 |
By: | Chandana Maitra |
Abstract: | In this paper, I estimate prevalence of food insecurity in Australia using fresh data on Food Insecurity Experience Scale (FIES), a cross-culturally validated eight-item measure of economic access to food, developed by the UN Food & Agricultural Organization and reported, for the first time, in 2020 Household Income and Labour Dynamics in Australia (HILDA) Survey. Prevalence of food insecurity is reported at person level, and at varying levels of severity. First, I examine how well the data fits the theoretical construct of single parameter Rasch model, on which FIES is based. Next, I estimate prevalence rates at the national and regional levels using two alternative techniques. The first approach produces cross-nationally comparable prevalence estimates based on the common thresholds set on a global reference scale developed by FAO’s Voices of the Hungry Project. Based on this approach, in 2020, one in sixteen (roughly 1.65 million) people experienced moderate to severe food insecurity and one in twenty-nine (0.88 million) people experienced severe food insecurity in Australia. The second approach defines Australia-specific thresholds on the national scale to generate prevalence estimates which are not directly comparable across countries but are more meaningful for the purpose of policy related communications within Australia. Based on this method, in 2020, one in eleven (roughly 2.41 million) people were food insecure in Australia, of which one in fourteen (roughly 1.87 million) people were moderately food insecure and one in forty-seven (roughly 0.54 million) people were severely food insecure. One in twenty-four (roughly 1.076 million) people were marginally food secure. By all specifications, South Australia and Queensland are the most food insecure states closely followed by Tasmania. Overall, the results establish the reliability and validity of FIES as a tool to measure food insecurity in Australia. All items fit the scale well. However, care must be taken while administering the surveys so that the meaning of the items is conveyed unambiguously to the respondents. Certain subpopulations such as people with low income and low education, First Nations people, people with long term health conditions, young adults, lone persons are at higher risks of moderate and severe food insecurity. These findings indicate that food security policies must be tailored to suit the specific needs of the diverse geographical and socio-economic contexts. Results of this study confirm the general concern in the literature that single-item measures underestimate food insecurity. Australia must consider regular monitoring of food insecurity, preferably, using an Australia-specific metric. Closing the data gap is critical for both academic research and policy purposes. |
Date: | 2024–07 |
URL: | https://d.repec.org/n?u=RePEc:syd:wpaper:2024-14 |
By: | Villavicencio, Xavier A.; Zapata, Samuel D.; Xicay Xico, Anderson E. |
Keywords: | Demand And Price Analysis, Research Methods/Statistical Methods, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:344030 |
By: | De Almeida Furtado, Murilo; Meuwissen, Miranda P.M.; Ang, Frederic |
Keywords: | Production Economics |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343878 |
By: | Utesov, Nurlan; Mitchell, Paul D.; Du, Xiaodong |
Keywords: | Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343964 |
By: | Bir, Courtney L.; Lambert, Lixia H.; Schaefer, K. Aleks |
Keywords: | Agribusiness, Livestock Production/Industries, Marketing |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343896 |
By: | Raff, Zach; Earnhart, Dietrich |
Keywords: | Environmental Economics And Policy, Livestock Production/Industries |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343659 |
By: | Bin Khaled, Muhammad Nahian; Maredia, Mywish K. |
Keywords: | International Development, Teaching/Communication/Extension/Profession, Research And Development/ Tech Change/Emerging Technologies |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343777 |
By: | Mark A. DeWeaver (Kogod School ofÊBusiness, American University); James A. Roumasset (Department of Economics, University of Hawaii at Manoa) |
Abstract: | The risk-bearing theory of share tenancy has been found to be inconsistent with actual tenant shares, meaning there must be additional disadvantages of lease contracts in order to explain the historical prevalence of share tenancy. One such disadvantage is that fixed-rent contracts incentivize land abuse. We complement this explanation here by providing a dynamic context in which the land- abuse decision is linked to the tenantÕs decision to renew the contract. By offering appropriate share contracts, landlords can incentivize contract renewal, thereby both lowering the incentive for land abuse and preserving the tenantÕs land-specific human capital. In our model, tenants decide each period whether to terminate their contracts and abuse landlord-owned assets based on prior and updated beliefs about the likelihood of bad seasons. Share contracts are shown to be more likely than lease contracts to survive one or more bad harvests. |
Keywords: | share tenancy, opportunism, land abuse, contract choice, institutional economics, agricultural firms |
JEL: | J41 J43 O13 Q12 Q15 |
Date: | 2024–07 |
URL: | https://d.repec.org/n?u=RePEc:hai:wpaper:202402 |
By: | Wu, Qi; Liu, Shuyun; Fan, Shenggen |
Keywords: | International Development, Labor And Human Capital, Environmental Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343729 |
By: | Fu, Yufei; Boys, Kathryn A.; Cengiz, Ezgi |
Keywords: | Marketing, Demand And Price Analysis, Agribusiness |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343991 |
By: | Liang, Weifang; Liu, Yong; Somogyi, Simon; Anderson, David P. |
Keywords: | Research Methods/Statistical Methods |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343687 |
By: | Wang, Linjie; Chavas, Jean-Paul; Li, Jian |
Keywords: | Risk And Uncertainty, Agribusiness, Demand And Price Analysis |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343541 |
By: | Tanner, Sophia; Burnett, Wesley; Maguire, Karen; Winikoff, Justin |
Keywords: | Resource/Energy Economics And Policy |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343970 |
By: | Villacis, Alexis H.; Badruddoza, Syed; Mishra, Ashok K. |
Keywords: | International Development, Research Methods/Statistical Methods, Food Security And Poverty |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343542 |
By: | Vivas Flores, Alexis E.; Beatty, Timothy |
Keywords: | Community/Rural/Urban Development, Labor And Human Capital, Food Consumption/Nutrition/Food Safety |
Date: | 2024 |
URL: | https://d.repec.org/n?u=RePEc:ags:aaea22:343954 |