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on Agricultural Economics |
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Issue of 2022‒08‒29
129 papers chosen by |
| By: | Saripalle, Madhuri; Subramanian, Vijaya C. |
| Keywords: | Agribusiness, Agricultural and Food Policy, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322395&r= |
| By: | Kim, Chungmann; Baylis, Kathy |
| Keywords: | International Development, Food Consumption/Nutrition/Food Safety, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322552&r= |
| By: | Gerling, Charlotte; Drechsler, Martin; Keuler, Klaus; Sturm, Astrid; Wätzold, Frank |
| Abstract: | Climate change is one of the largest threats for biodiversity as changing climatic conditions often make existing habitat sites less suitable. This poses new challenges for species conservation, in particular in agricultural landscapes, where climate change may also induce modifications in agricultural land use. To conserve species in agricultural landscapes, agri-environment schemes (AES), which compensate farmers for implementing conservation measures are commonly used. However, current research on the cost-effective design of AES largely ignores necessary adaptations of conservation measures given climate change. We develop a climate-ecological-economic (CEE) model to examine how the cost-effective design of AES has to be modified under climate change. We apply the model to the conservation of eight meadow bird species in Northern Germany and determine the cost-effective conservation measures under recent and future climatic conditions. We find that the timing of conservation measures in the AES needs to be changed in the RCP8.5 scenario given the species’ phenological adaptations and the impact of extreme events (inundations) on costs. The novelty of the research lies in the development of a CEE model which considers both spatial and temporal changes in costs and benefits to develop recommendations for the cost-effective design of AES under climate change. |
| Keywords: | agri-environment scheme, climate change, climate-ecological-economic model, conservation measure, cost-effectiveness, desynchronization, ecological-economic model, payments for ecosystem services (PES) |
| JEL: | Q15 Q18 Q54 Q57 Q58 |
| Date: | 2022–07–25 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:113877&r= |
| By: | Wang, Zhan; Liu, Jing |
| Keywords: | Environmental Economics and Policy, Agricultural and Food Policy, Productivity Analysis |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322560&r= |
| By: | Lee, Juhee; Hendricks, Nathan P. |
| Keywords: | Production Economics, Agricultural Finance, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322602&r= |
| By: | Fang, Ming; Jin, Songqing; Deininger, Klaus W. |
| Keywords: | Environmental Economics and Policy, Production Economics, Productivity Analysis |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322437&r= |
| By: | Session Id; Chen, YiMing |
| Keywords: | Food Consumption/Nutrition/Food Safety, International Relations/Trade, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322211&r= |
| By: | Urutyan, Vardan; Hovhannisyan, Vardges; Khachatryan, Armen |
| Keywords: | Marketing, Agricultural and Food Policy, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322588&r= |
| By: | Dalheimer, Bernhard; Fiankor, Dela-Dem Doe |
| Keywords: | International Development, Environmental Economics and Policy, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322168&r= |
| By: | Bijesh Mishra |
| Abstract: | The purpose of this research was to identify commonly adopted SAPs and their adoption among Kentucky farmers. The specific objectives were to explore farmers' Perceptions about farm and farming practice sustainability, to identify predictors of SAPs adoption using farm attributes, farmers' attitudes and behaviors, socioeconomic and demographic factors, and knowledge, and to evaluate adoption barriers of SAPs among Kentucky Farmers. Farmers generally perceive that their farm and farming activities attain the objectives of sustainable agriculture. Inadequate knowledge, perceived difficulty of implementation, lack of market, negative attitude about technologies, and lack of technologies were major adoption barriers of SAPs in Kentucky. |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2207.08053&r= |
| By: | Comstock, Haden; DeLay, Nathan D. |
| Keywords: | Agricultural and Food Policy, Environmental Economics and Policy, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322459&r= |
| By: | Gaku, Sylvanus A.; Ifft, Jennifer; Byers, Luke |
| Keywords: | Agricultural Finance, Agricultural and Food Policy, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322568&r= |
| By: | Khadka, Savin; Munisamy, Gopinath; Batarseh, Feras |
| Keywords: | International Relations/Trade, International Development, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322374&r= |
| By: | Anthony Fardet; Marion Desquilbet (TSE - Toulouse School of Economics - UT1 - Université Toulouse 1 Capitole - Université Fédérale Toulouse Midi-Pyrénées - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Edmond Rock |
| Abstract: | In France, hypermarkets are the main shopping sites for food products. Therefore, the food-purchasing profiles of their regular customers may be a relevant indicator of the sustainability and health potentials of consumed diets. Knowing this information can be a step to address the issue of global health. The main objective of this study was to assess the sustainability and health potential of food-purchasing behaviors among regular adult customers, with or without children, of a leading French retailer. Secondarily, the cost of a sustainable food shopping cart was evaluated as regards the regular one, as calculated in this study. Purchasing receipts corresponding to 38,168 different food products were collected during one consecutive month for each four seasons in 2019 to assess compliance with a newly developed holistic indicator of food system sustainability, i.e., the 3V rule, recommending food consumption to be ‘Vegetal'/plant-based (≈15% animal calories/day), ‘Vrai'/real (max. 15% ultra-processed food calories/day, UPF) and ‘Varié'/varied. Participants were 708 regular buyers (aged ≥18 with different socio-economic profiles, with and without children) in 122 French hypermarkets. The plant rule was based on the animal and plant origin of food ingredients, including mixed products; the ‘real' rule was evaluated with the Siga score according to the degree of processing to identify UPFs. The varied rule was defined based on a combination of food ‘categories × families'. The effect of children and season on the purchased animal and UPF calories and on the variety index was also evaluated. Multivariate and decision tree analyses were applied to compare consumers for their 3V rule profile similarities and differences, and to look for impacts of the presence or absence of children. Customers' purchases were far from the 3V rule, with a median of 41% animal and 61% UPF calories and a median variety index of 25% (compared to the consumer with the highest index set to 100%). There was no difference in purchased animal and UPF percentages neither according to seasons nor the presence of children. However, the presence of children was associated with a higher variety index (+33%, P |
| Keywords: | Food diversity,Food choices,Animal products,Ultra-processed food,Hypermarkets,Sustainability,Ultra-processed foods,‘Végétal’ (plant),‘Varié’ (varied),Principal component analysis,Relative variety index |
| Date: | 2021–08 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03353849&r= |
| By: | Aiya, Faith O.; Singerman, Ariel |
| Keywords: | Risk and Uncertainty, Agricultural and Food Policy, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322223&r= |
| By: | Ringler, C.; Belete, A. A.; Mathetsa, S. M.; Uhlenbrook, Stefan |
| Keywords: | Energy technology; Rural areas; Climate change; Resilience; Food security; Solar energy; Innovation; Investment; Water resources; Environmental impact; Ecosystems; Livelihoods; Women; Incentives |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:iwt:bosers:h051148&r= |
| By: | Adjei, Eugene; Hartarska, Valentina M. |
| Keywords: | Agricultural and Food Policy, Community/Rural/Urban Development, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322506&r= |
| By: | Christophe Gouel |
| Abstract: | A popular approach for estimating climate change impacts on agriculture is to rely on supply-side reduced-form regressions. These methods, which include the Ricardian approach, focus on how farmers and agricultural land market react to changes in climatic conditions, under the implicit assumption that crop prices stay constant. To test whether this assumption is innocuous, I use a quantitative trade model of global agricultural markets to emulate the findings of a supply-side approach as well as to calculate welfare changes accounting for price changes. The results show that both welfare measures are weakly correlated and can be of opposite signs, and that the supply-side approach tends to underestimate the cost of climate change. The main drivers of these differences are the neglects of the imperfect substitutability of crops in demand and of terms-of-trade changes. The supply-side approach provides a valid approximation of the welfare cost of climate change only if crops are almost perfectly substitutable in demand and trade costs are neglected, a situation in which it is reasonable to assume constant prices. |
| JEL: | D58 F18 Q17 Q54 R14 |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:30279&r= |
| By: | Larch, Mario; Luckstead, Jeff; Yotov, Yoto V. |
| Keywords: | International Relations/Trade, International Development, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322063&r= |
| By: | Fiechter, Chad M.; Kuethe, Todd H.; Zhang, Wendong |
| Keywords: | Agricultural Finance, Agricultural and Food Policy, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322070&r= |
| By: | Hadunka, Protensia; Baylis, Kathy |
| Keywords: | Resource/Energy Economics and Policy, Environmental Economics and Policy, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322075&r= |
| By: | Regmi, Hari; Kuethe, Todd H.; Foster, Kenneth A. |
| Keywords: | International Relations/Trade, Agricultural and Food Policy, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322363&r= |
| By: | Wang, Linjie; Li, Jian; Etienne, Xiaoli L. |
| Keywords: | Agribusiness, Agricultural Finance, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322343&r= |
| By: | Xia, Tian; Li, Xianghong |
| Keywords: | Marketing, Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322319&r= |
| By: | Tan, Fuli; Wang, Jingjing; Fan, Shenggen |
| Keywords: | Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322397&r= |
| By: | Scott, Francisco Albert; Kuethe, Todd H.; Kreitman, Ty |
| Keywords: | Agricultural Finance, Agricultural and Food Policy, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322303&r= |
| By: | Cao, An N.Q.; Ionici, Octavian; Robe, Michel A. |
| Keywords: | Agribusiness, Agricultural Finance, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322062&r= |
| By: | Chen, Junhong; Nian, Yefan; Gao, Zhifeng |
| Keywords: | Marketing, Agribusiness, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322485&r= |
| By: | Yu, Jisang; Gabrielyan, Georgi T. |
| Keywords: | Agricultural and Food Policy, Agribusiness, Risk and Uncertainty |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322166&r= |
| By: | Lachhab, Rania; Gammans, Matthew |
| Keywords: | Environmental Economics and Policy, International Development, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322548&r= |
| By: | Kim, Dongin; Steinbach, Sandro |
| Keywords: | International Relations/Trade, International Development, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322200&r= |
| By: | Hendrawan, Dienda C P; Musshoff, Oliver |
| Keywords: | Institutional and Behavioral Economics, Agricultural and Food Policy, Community/Rural/Urban Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322441&r= |
| By: | Siegle, Jonathon E.; Cooper, Joseph C. |
| Keywords: | Agricultural and Food Policy, Risk and Uncertainty, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322260&r= |
| By: | Shagaida Natalia (Gaidar Institute for Economic Policy); Uzun Vasily (RANEPA); Ternovskiy Dmitry (RANEPA) |
| Abstract: | At the beginning of 2020,6 the FAO set out guides about risks that can arise during a pandemic. The key world-wide risks are: panic buying, which can lead to temporary shortages; a decrease in allocations from donors to the poorest countries; the threat to population movement (including migrant workers), limiting the mobility of resources for agriculture and finished products; a high probability of restrictions on economic activity and, as a result, a decline in income, jeopardizing economic access to food. |
| Keywords: | Russian economy, agricultural production, food security |
| JEL: | Q13 Q14 Q15 Q16 Q17 Q18 I18 I19 |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:gai:ppaper:ppaper-2022-1202&r= |
| By: | Koo, J.; Kramer, B.; Langan, Simon; Ghosh, A.; Monsalue, A. G.; Lunt, T. |
| Keywords: | Digital technology; Innovation; Data; Agrifood systems; Sustainability; Climate change; Risk; Weather forecasting; Digital divide; Access to information; Policies; Women |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:iwt:bosers:h051155&r= |
| By: | Karki, Lila B.; Bhandari, Prem B. |
| Keywords: | Teaching, Communication, and Extension, Community/Rural/Urban Development, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322393&r= |
| By: | Hempel, Corinna; Roosen, Jutta |
| Keywords: | Marketing, Research Methods/Statistical Methods, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322410&r= |
| By: | Toor, Ramanjeet Singh; Kim, GwanSeon; Manlove, Jacob |
| Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322483&r= |
| By: | De Castro, Andre Bueno Rezende; Kornher, Lukas |
| Keywords: | International Relations/Trade, Marketing, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322080&r= |
| By: | Hill, Megan; Shanoyan, Aleksan; Aldrich, Greg |
| Keywords: | Agribusiness, Marketing, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322509&r= |
| By: | Kim, Dahye; Caputo, Vincenzina |
| Keywords: | Food Consumption/Nutrition/Food Safety, Research Methods/Statistical Methods, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322384&r= |
| By: | Giulia Vaglietti (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Philippe Delacote (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Antoine Leblois (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier) |
| Abstract: | Extreme weather events, particularly droughts, have strong impacts on the livelihoods of populations in rural areas. In a context of low access to insurance and credit markets, households respond to such shocks by implementing different adaptation and coping strategies, which in turn are likely to have an impact on the environment, in particular through land-use changes and deforestation. This paper contributes to the emerging literature on the links between droughts and deforestation: (1) distinguishing responses to previously experienced droughts versus present droughts, and (2) disentangling the time of the agricultural season at which droughts occur. We show that deforestation is negatively related to droughts that occur during the growing season, while it is positively related to those that occur during the harvesting season. These impacts are mitigated within protected areas and are exacerbated in more accessible locations, i.e., areas within 4 hours of travel time of main/major cities. By contrast, deforestation outcomes following droughts that occur during the planting season depend on whether the crop considered is maize or cassava. |
| Date: | 2022–07–18 |
| URL: | http://d.repec.org/n?u=RePEc:hal:wpaper:hal-03726300&r= |
| By: | Wen, Le; Paudel, Krishna P. |
| Keywords: | Agricultural and Food Policy, Consumer/Household Economics, Resource/Energy Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322217&r= |
| By: | Letort, Elodie; Femenia, Fabienne |
| Keywords: | Agribusiness, Production Economics, Productivity Analysis |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322296&r= |
| By: | Yu, Jisang; Kim, Jiyeon |
| Keywords: | Agricultural and Food Policy, International Relations/Trade, Agricultural Finance |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322229&r= |
| By: | Gahssan Mehmood |
| Abstract: | Agricultural sector is indispensable to the country's economic growth, food security, employment generation and poverty alleviation particularly, at the rural level. It contributes 19.2 percent to the GDP and provides employment to around 38.5 percent of the labour force. More than 65-70 percent of the population depends on agriculture for its livelihood. |
| Keywords: | BOP, Agriculture Sector, |
| Date: | 2021 |
| URL: | http://d.repec.org/n?u=RePEc:pid:wbrief:2021:78&r= |
| By: | Dhakal, Rajan; Connor, Lawson |
| Keywords: | Agricultural and Food Policy, Production Economics, Environmental Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322587&r= |
| By: | Xu, Lei; Plakias, Zoë |
| Keywords: | Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322370&r= |
| By: | Ridley, William; Luckstead, Jeff; Devadoss, Stephen |
| Keywords: | International Relations/Trade, Agricultural and Food Policy, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322414&r= |
| By: | Nolte, Kerstin; Sipangule, Kacana; Wendt, Niels |
| Abstract: | The COVID-19 pandemic has profound impacts on agricultural households. We discuss how these impacts might affect the underlying drivers of land-use decisions. First, we conceptually extend models of (smallholder) land-use decision-making to assess how the pandemic affects the underlying drivers of land-use decisions. We then examine effects on agricultural households’ livelihoods, by drawing on high-frequency phone surveys from eight African countries and a literature review. We find that the COVID-19 pandemic affects these households’ livelihoods substantially, reflected for instance, by reductions in various income sources. We further find that households’ coping capabilities are weakened, meaning vulnerable households have difficulties to cope with the impacts of the pandemic. Agriculture is likely to become even more important in the years to come for households with very limited resources. Accordingly, we expect more labour-intensive uses of agricultural land. However, context matters and thus impacts on land-use are likely to be very variable. |
| Keywords: | Land-use change,agricultural household,Covid-19,Africa |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:ifwkie:261843&r= |
| By: | Meyer, Andrew G.; Raff, Zach |
| Keywords: | Environmental Economics and Policy, Resource/Energy Economics and Policy, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322444&r= |
| By: | Reich, Charlotte-Elena; Musshoff, Oliver |
| Keywords: | Agricultural and Food Policy, Institutional and Behavioral Economics, Agricultural Finance |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322371&r= |
| By: | Wang, Lingxiao; Rutherford, Thomas F. |
| Keywords: | Production Economics, Environmental Economics and Policy, Productivity Analysis |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322425&r= |
| By: | Chen, Xuqi; Gao, Yujuan; Gao, Zhifeng |
| Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322206&r= |
| By: | Edmondson, Hailey; McFadden, Dawn D. Thilmany |
| Keywords: | Agribusiness, Marketing, Consumer/Household Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322501&r= |
| By: | Kibriya, Shahriar; Price, Edwin C. |
| Keywords: | International Development, Agricultural and Food Policy, Community/Rural/Urban Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322591&r= |
| By: | Nico, Gianluigi; Azzarri, Carlo |
| Keywords: | Consumer/Household Economics, Production Economics, Environmental Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322503&r= |
| By: | Ambrozek, Charlotte; Beatty, Timothy |
| Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Consumer/Household Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322337&r= |
| By: | Peng, Yifan; Gundersen, Craig G. |
| Keywords: | Food Consumption/Nutrition/Food Safety, Health Economics and Policy, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322074&r= |
| By: | Collins, Wilson; Goodwin, Barry K. |
| Keywords: | Risk and Uncertainty, Agricultural and Food Policy, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322574&r= |
| By: | Janzen, Joseph; Paulson, Nick; Tsay, Juo-Han |
| Keywords: | Agricultural Finance, Marketing, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322456&r= |
| By: | Jung, Suhyun; Akinyemi, Taiwo |
| Keywords: | International Development, Resource/Energy Economics and Policy, Environmental Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322558&r= |
| By: | Thilmany, Elizabeth; Goeringer, Paul |
| Keywords: | Agricultural and Food Policy, Resource/Energy Economics and Policy, Teaching, Communication, and Extension |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322497&r= |
| By: | Kalaitzandonakes, Maria H.; Ellison, Brenna; White, Tiffany |
| Keywords: | Marketing, Agribusiness, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322065&r= |
| By: | Carter, Colin A.; Steinbach, Sandro; Zhuang, Xiting |
| Keywords: | Marketing, International Relations/Trade, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322364&r= |
| By: | Anderson, Patrese; Baylis, Kathy |
| Keywords: | International Development, Environmental Economics and Policy, Consumer/Household Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322592&r= |
| By: | Ufer, Danielle; Ortega, David L. |
| Keywords: | Agribusiness, Production Economics, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322269&r= |
| By: | Sarasty, Oscar; Amin, Modhurima; Badruddoza, Syed |
| Keywords: | Production Economics, International Relations/Trade, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322240&r= |
| By: | Grunert, Klaus G.; Futtrup, Rebecca |
| Keywords: | Marketing, Food Consumption/Nutrition/Food Safety, Environmental Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322161&r= |
| By: | Staples, Aaron J.; Krumel, Thomas P. Jr. |
| Keywords: | Agricultural and Food Policy, Community/Rural/Urban Development, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322484&r= |
| By: | Kim, KiYoon; Yoo, Do-il |
| Keywords: | Production Economics, Productivity Analysis, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322611&r= |
| By: | Binkley, James K.; Young, Jeffrey S. |
| Keywords: | Health Economics and Policy, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322055&r= |
| By: | Cheng, Muxi; McCarl, Bruce A.; Fei, Chengcheng |
| Keywords: | Environmental Economics and Policy, Agribusiness, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322255&r= |
| By: | Zheng, Maoyong; Escalante, Cesar L. |
| Keywords: | Agricultural Finance, Risk and Uncertainty, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322245&r= |
| By: | Skorbiansky, Sharon Raszap; Saavoss, Monica; Camp, Kevin M. |
| Keywords: | Marketing, Production Economics, Consumer/Household Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322496&r= |
| By: | Liu, Yizao; Fan, Linlin; Zhang, Yuxiang |
| Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Agribusiness |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322253&r= |
| By: | Seong, Jisub; De Souza, Simone Valle; Peterson, Christopher |
| Keywords: | Agribusiness, Research Methods/Statistical Methods, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322490&r= |
| By: | Bhandari, Ranjita; Sant'Anna, Ana Claudia |
| Keywords: | Agricultural Finance, Agribusiness, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322316&r= |
| By: | Florkowski, Wojciech J.; Nouve, Yawotse |
| Keywords: | Agribusiness, Agricultural Finance, Environmental Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322293&r= |
| By: | Ulrike Grote; Thanh-Tung Nguyen; Trung Thanh Nguyen; Frank Neubacher |
| Abstract: | We use a panel dataset of around 3.500 rural households from Southeast Asia and investigate evidence on crime victimization. More concretely, we ask (1) to what extent are rural people in Thailand and Vietnam affected by crime? And (2) what factors determine rural crime victimization? We use the routine activity approach as the theoretical framework and apply different logit models to identify determinants of crime victimization. We find that 5.46% of the rural households have been victimized, mainly by theft, over the last 12 months, some of them even more than once. Living in a rural region with higher levels of inequality is positively correlated with the likelihood of theft victimization. Households with higher levels of crop commercialization are associated with a higher victimization risk, while households with more livestock and being more specialized in specific livestock species are associated with a lower risk. Moreover, past victimization and exposure to weather shocks are positively associated with the likelihood of being affected by crime. We conclude that rural crime requires attention although overall incidence is low in rural Thailand and Vietnam. Guardianship should be promoted, especially in times of weather shocks. Finally, reducing inequality helps preventing theft. |
| Keywords: | Farm crime, Victimization, Routine activity approach, Logit model, Southeast Asia |
| JEL: | D1 I3 K14 K4 O1 Q1 |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:tvs:wpaper:wp-025&r= |
| By: | Basen, Wyatt E.; Lai, John; Kassas, Bachir |
| Keywords: | Marketing, Agribusiness, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322522&r= |
| By: | Yoshiyasu Koide (Bank of Japan); Kenji Nishizaki (Bank of Japan); Nao Sudo (Bank of Japan) |
| Abstract: | This paper estimates how flood risk perception affects land prices by making use of the granular geographical information of land prices, flood events collected in the Flood Statistics, and of flood risk captured in hazard maps in Japan. The estimates are conducted through two approaches, the hedonic approach and local projection, for the sampled sites that are selected from the viewpoint of avoiding potential omitted variable bias. Our main findings are threefold: (a) hazard map information affects land prices in a statistically significant manner. The effect is accompanied by a lag and its size varies depending on land use. (b) In addition to hazard map information, past flooding experiences affect land prices, suggesting the importance of the role played by the subjective flood risk perception formed through past flooding experiences. Indeed, in areas where large-scale flooding has occurred frequently in the past, hazard map information is reflected in the level of land prices to a greater degree and land prices are less susceptible to changes in hazard map information. (c) The estimated impact of flood risk on land prices based on the two approaches does not deviate significantly from the alternative measure of the impact of flood risk on land prices computed using the actual flood damage. However, the differences between the estimated impact and the alternative measure may become large for a certain type of flood risk and land use. Our results suggest that, in addition to the objective flood risk contained in, for example, hazard map, subjective perceptions of flood risk, such as those reflected in past flooding experiences, may also be important in land price formation. |
| Keywords: | Flood; Hazard maps; Land price; Hedonic approach; Local projection |
| JEL: | Q54 R30 |
| Date: | 2022–07–28 |
| URL: | http://d.repec.org/n?u=RePEc:boj:bojwps:wp22e12&r= |
| By: | Oyedeji, Oluwafemi A.; Babatunde, Rapheal O. |
| Keywords: | International Development, Community/Rural/Urban Development, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322201&r= |
| By: | McKendree, Melissa G. S.; Tonsor, Glynn T.; Dong, Zekuan |
| Keywords: | Marketing, Production Economics, Agricultural Finance |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322326&r= |
| By: | Harthoorn, Austin; Walters, Cory G.; Brooks, Kathleen R. |
| Keywords: | Agribusiness, Marketing, Agricultural Finance |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322457&r= |
| By: | Monaco, Lourival C.; Brewer, Brady E.; Gray, Allan W. |
| Keywords: | Agribusiness, Marketing, Institutional and Behavioral Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322454&r= |
| By: | Hambaryan, Meri; Lai, John; Kassas, Bachir |
| Keywords: | Marketing, Agribusiness, Production Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322607&r= |
| By: | Lydia Chikumbi; Milan Scasny |
| Abstract: | The approach and survey used to examine non-market value in a stated preference study can influence the outcomes and impact the validity and reliability of value estimates. While prior research has investigated the impact of 'price framing' on decision-making in other disciplines, (i.e. marketing & psychology), little is known about its validity and reliability in Discrete Choice Experiments (DCEs) and environmental valuation. The study explores the effect of 'price framing' on DCE measurements. The tests are carried out using data from a choice experiment on preferences for natural preservatives in wine. The same respondents completed a nearly identical DCE survey, one with a real price and another with a percentage price change as cost attribute. 611 respondents completed the survey, and a panel mixed logit model was used for the analysis. Results demonstrate that 'price framing' remarkably influenced respondents WTP changes in attributes. The data reveals that while the rank order of importance of attributes, signs, and significance levels are similar for the two samples, they differ in the parameter magnitudes. The study sheds light on the establishment of guidelines for developing valid cost attributes in DCEs studies. |
| Keywords: | Price framing, Discrete choice experiment, Mixed Logit Model |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:rza:wpaper:878&r= |
| By: | Ms. Filiz D Unsal; John A Spray; Cedric Okou |
| Abstract: | This paper analyzes the domestic and external drivers of local staple food prices in Sub-Saharan Africa. Using data on domestic market prices of the five most consumed staple foods from 15 countries, this paper finds that external factors drive food price inflation, but domestic factors can mitigate these vulnerabilities. On the external side, our estimations show that Sub-Saharan African countries are highly vulnerable to global food prices, with the pass-through from global to local food prices estimated close to unity for highly imported staples. On the domestic side, staple food price inflation is lower in countries with greater local production and among products with lower consumption shares. Additionally, adverse shocks such as natural disasters and wars bring 1.8 and 4 percent staple food price surges respectively beyond generalized price increases. Economic policy can lower food price inflation, as the strength of monetary policy and fiscal frameworks, the overall economic environment, and transport constraints in geographically challenged areas account for substantial cross-country differences in staple food prices. |
| Keywords: | Food prices; inflation; food insecurity; disasters; wars; monetary policy framework |
| Date: | 2022–07–08 |
| URL: | http://d.repec.org/n?u=RePEc:imf:imfwpa:2022/135&r= |
| By: | Wang, Shaonan; Zhen, Chen |
| Keywords: | Food Consumption/Nutrition/Food Safety, Health Economics and Policy, Consumer/Household Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322390&r= |
| By: | Hovhannisyan, Vardges; Bastian, Christopher T. |
| Keywords: | Health Economics and Policy, Agricultural and Food Policy, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322508&r= |
| By: | Bogonos, Mariia; Litvinov, V.; Martyshev, P.; Neyter, R.; Nivievskyi, O.; Piddubnyi, I.; Stolnikovich, H. |
| Keywords: | Crop Production/Industries, International Relations/Trade |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322823&r= |
| By: | Pandey, Shinjini; Bevis, Leah EM; Rao, Tanvi |
| Keywords: | Food Consumption/Nutrition/Food Safety, Health Economics and Policy, Community/Rural/Urban Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322604&r= |
| By: | Zheng, Yixing; Ramsey, Austin F. |
| Keywords: | Risk and Uncertainty, Agricultural Finance, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322373&r= |
| By: | Laves, Konstanze; Risius, Antje |
| Keywords: | Marketing, Research Methods/Statistical Methods, Institutional and Behavioral Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322400&r= |
| By: | Kovacs, Kent |
| Keywords: | Environmental Economics and Policy, Resource/Energy Economics and Policy, Agricultural and Food Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322066&r= |
| By: | Griffith, Andrew P.; Boyer, Christopher N.; Kane, Ian |
| Abstract: | Environmental and social sustainability have historically been the focus of beef sustainability research and are probably the most familiar among the public. However, there is considerable need for research related to economic sustainability in the beef cattle industry. Economic sustainability is commonly understood to be a farm’s capability to survive or to be economically viable in over time, and a key component is access to and using effective tools and strategies to reduce losses. Cattle producers manage many forms of risk including price risk (Hart, Babcock, and Hayes, 2001). Researchers have investigated the effectiveness of various ways to mitigate price risk (Burdine and Halich, 2014; Hall et al., 2003; Hill, 2015; Williams et al., 2014), but producers have been reluctant to adopt these management tools (Hill, 2015). The events occurring in 2019 (Finney County Tyson Foods slaughterhouse fire) and 2020 (COVID-19) strengthen the argument that managing price risk is vital for long-term economic sustainability for beef cattle producers. Providing stocker and cow-calf producers with information on how to utilize price risk management tools would benefit these producers in making economically sustainable decisions and allowing them to endure and continue operating during and following economic shocks. Therefore, the specific objectives of this literature review were to: 1. Determine the positive attributes of currently available price risk management tools for beef cattle including futures contracts, options and livestock risk protection insurance; and 2. Determine the attributes of currently available price risk management tools that lead to non-use or fail to mitigate risk. The goal of this literature review is to provide a comprehensive summary of research on risk management tools for beef cattle producers and help guide continuing education to beef cattle producers as well as inform policy makers and private industry on ways to improve price risk management to enhance economic sustainability for beef cattle producers. |
| Keywords: | Farm Management, Marketing, Risk and Uncertainty |
| Date: | 2022–07–27 |
| URL: | http://d.repec.org/n?u=RePEc:ags:utaeer:322767&r= |
| By: | Leal, Victor E. Funes; Hutchins, Jared P. |
| Keywords: | Production Economics, Productivity Analysis, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322268&r= |
| By: | Fatema, Naureen |
| Keywords: | Food Consumption/Nutrition/Food Safety, Institutional and Behavioral Economics, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322524&r= |
| By: | Pinto, Allan; Griffin, Terry W. |
| Keywords: | Agricultural Finance, Research Methods/Statistical Methods, Risk and Uncertainty |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322534&r= |
| By: | Araba, Narjiss |
| Keywords: | Crop Production/Industries, Demand and Price Analysis |
| Date: | 2022–04 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aesc22:321209&r= |
| By: | Neubig, Christina Maria; Roosen, Jutta |
| Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Institutional and Behavioral Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322098&r= |
| By: | Ko, Minkyong; Ramsey, Austin F. |
| Keywords: | Environmental Economics and Policy, Production Economics, Productivity Analysis |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322102&r= |
| By: | Ban, Kyunghoon; Lence, Sergio H. |
| Keywords: | Research Methods/Statistical Methods, Consumer/Household Economics, Agricultural Finance |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322219&r= |
| By: | Federico Carril-Caccia (University of Granada); Jordi Paniagua (University of Valencia and Kellogg Institute, University of Notre Dame); Marta Suárez-Varela (Banco de España) |
| Abstract: | There is growing concern about the increase in food insecurity across the world, but little is known of its economic implications. This paper quantifies the effect of food crises on forced international migration (FIM) flows using a structural gravity model. To this end, we use a database that measures the severity, intensity and causes of food crises. The results suggest that even less severe food crises tend to increase FIM flows. More severe food crises tend to skew FIM flows towards developing countries. The results obtained appear to indicate that food crises tighten liquidity constraints on migration and that these constraints worsen as the food crisis intensifies. |
| Keywords: | forced migration, food security, gravity equation |
| JEL: | F22 O15 Q18 |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:bde:wpaper:2227&r= |
| By: | Shu, Yiheng; Hu, Wuyang |
| Keywords: | Institutional and Behavioral Economics, Research Methods/Statistical Methods, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322389&r= |
| By: | Djontu, Bruno Legrand |
| Abstract: | This study aims at evaluating the determinants of trade in agricultural exports products of Cameroon, as well as the level of efficiency and potential of Cameroon with its trading partners. To achieve this goal, a stochastic frontier gravity model is estimated over the period 2000-2017 for a sample of 41 partners. Using the maximum likelihood method, the results show that Cameroon’s GDP, partner population, bilateral exchange rate and sharing of a common colonial history increase exports of agricultural products, unlike preferential trade agreements and Cameroon’s population. Likewise, the hypothesis of the existence of commercial inefficiency is validated. The estimation of the efficiency scores shows that around 76.6% of Cameroon's agricultural export potential remains untapped. These results underscore the importance of developing the agricultural sector and improving Cameroon's trade policies. |
| Keywords: | agricultural exports, gravity model, stochastic frontier, trade efficiency, export potential |
| JEL: | Q17 |
| Date: | 2022–08–01 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:113959&r= |
| By: | Xie, Yi (Fionna); You, Yanfen |
| Keywords: | Marketing, Institutional and Behavioral Economics, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322576&r= |
| By: | Chen, Rui; Dokes-Dumas, Talesha |
| Keywords: | Teaching, Communication, and Extension, Agribusiness, Community/Rural/Urban Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322314&r= |
| By: | Antoine Dechezleprêtre; Adrien Fabre; Tobias Kruse; Bluebery Planterose; Ana Sanchez Chico; Stefanie Stantcheva |
| Abstract: | Using new surveys on more than 40,000 respondents in twenty countries that account for 72% of global CO2 emissions, we study the understanding of and attitudes toward climate change and climate policies. We show that, across countries, support for climate policies hinges on three key perceptions centered around the effectiveness of the policies in reducing emissions (effectiveness concerns), their distributional impacts on lower-income households (inequality concerns), and their impact on the respondents’ household (self-interest). We show experimentally that information specifically ad-dressing these key concerns can substantially increase the support for climate policies in many countries. Explaining how policies work and who can benefit from them is critical to foster policy support, whereas simply informing people about the impacts of climate change is not effective. Furthermore, we identify several socioeconomic and lifestyle factors – most notably education, political leanings, and availability of public transportation – that are significantly correlated with both policy views and overall reasoning and beliefs about climate policies. However, it is difficult to predict beliefs or policy views based on these characteristics only. |
| JEL: | D78 H23 P48 Q54 Q58 |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:30265&r= |
| By: | Guillaume Le Borgne (USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc, IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc); Lucie Sirieix (UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement); Pierre Valette-Florence (UGA INP IAE - Grenoble Institut d'Administration des Entreprises - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes); Sandrine Costa (UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement) |
| Abstract: | Food waste is a burning issue, one that is both local and global. Although most consumers hate wasting and do not intend to waste, they still end up wasting food. By focusing on routines that prevent waste rather than on waste behaviours, and by defining and measuring consumer concern for food waste (CFW), this study seeks to address this apparent contradiction. A follow-up to three preliminary studies, this quantitative study proposes a valid and reliable measure of CFW, and examines the links between CFW, the antecedents of this concern, and seven waste-prevention routines. Empirical data reveals two dimensions of CFW that have a very distinct influence on food-related and waste-prevention routines. The first, "individual/interpersonal concern", has a strong relationship with these routines, whereas the second, "global concern", has no significant relationship with them. For researchers, the authors provide a model integrating the antecedents and behavioural consequences of CFW. For both policy makers and managers seeking to reduce food waste at the household level, this research provides recommendations to have an impact on food-waste-related behaviours through individual/interpersonal CFW and its proven antecedents (economic concerns, food involvement, food education). |
| Keywords: | food waste,concern,sustainability,environmental concern,consumer behaviour |
| Date: | 2021–03 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03169581&r= |
| By: | Kopp, Thomas; Nabernegg, Markus K. |
| Keywords: | Environmental Economics and Policy, Resource/Energy Economics and Policy, International Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322125&r= |
| By: | Mac Clay, Pablo; Sellare, Jorge |
| Abstract: | The adoption of new bio-based technologies that reduce our reliance on fossil fuels is presented as a path to reduce greenhouse gas emissions while creating new business opportunities. Such a transition towards a bio-based economy will require substantial investments in technological innovations that will likely affect how value chains are structured and which actors benefit from this transformation. Yet, previous studies on the bioeconomy have largely ignored the relationship between the structure of value chains and the rate of technological innovation. In this article, we analyze the link between technological innovation, value chain structures, and welfare distribution in the transition to a bioeconomy. We find that an acceleration in the rate of bioeconomy innovation is associated with shorter and more vertically coordinated value chains, bigger firms with higher market shares, increasing knowledge-sharing among value chain members, and a leading role by firms with core research capabilities. Finally, we argue that while bio-based innovation can potentially achieve environmental sustainability, it creates risks for the weakest value chain actors. Thus, we propose some lines of thought regarding the potential distributional effects of bio-based innovation. From a policy perspective, this debate is relevant to safeguarding social sustainability in the transition to a bioeconomy. |
| Keywords: | Agricultural and Food Policy, Environmental Economics and Policy |
| Date: | 2022–08–18 |
| URL: | http://d.repec.org/n?u=RePEc:ags:ubzefd:323957&r= |
| By: | Griffith, Andrew P.; Boyer, Christopher N.; Kane, Ian |
| Abstract: | Sustainable beef production is categorized into environmental stewardship, economic opportunity and social diligence across the beef value chain. However, cattle producers must be able to benefit from the economic opportunity in order to adopt the environmental and social components. Economic sustainability is commonly understood to be a farm’s capability to survive or to be economically viable over time. Making profitable short-run decisions is key to surviving long-term (Griffith and Boyer, 2020). A key component in economic sustainability is having access to and using effective tools and strategies to reduce economic losses. Cattle producers must manage many forms of risk (e.g. production, financial, technological, legal, casualty, policy), but all sources of risk have been relatively small compared to price risk (Hart, Babcock, and Hayes, 2001). Providing stocker and cow-calf producers with information on how to utilize price risk management tools would benefit these producers in making economically sustainable decisions and allowing them to endure and continue operating during and following economic shocks. However, it is also important to gain the cattle producer’s viewpoint on price risk management tools. Therefore, the specific objectives of the focus groups were to: 1. Determine the attributes of currently available price risk management tools that lead to non-use or fail to mitigate risk; and 2. Provide discussion from producers about ways to improve risk management tools and strategies for cow-calf and stocker producers. The goal of this effort is to help guide continuing education to beef cattle producers as well as inform policy makers and private industry on ways to improve price risk management to enhance economic sustainability for beef cattle producers. |
| Keywords: | Farm Management, Marketing, Risk and Uncertainty |
| Date: | 2022–07–27 |
| URL: | http://d.repec.org/n?u=RePEc:ags:utaeer:322768&r= |
| By: | Ainembabazi, John Herbert; Kemeze, Francis H. |
| Keywords: | Community/Rural/Urban Development, Agribusiness, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322482&r= |
| By: | Kang, Hyonyong; Suh, Dong Hee |
| Keywords: | Environmental Economics and Policy, Resource/Energy Economics and Policy, Community/Rural/Urban Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322120&r= |
| By: | Demont, Matty; Britwum, Kofi |
| Keywords: | Research Methods/Statistical Methods, Marketing, Institutional and Behavioral Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322366&r= |
| By: | Sen, Kritika; Villa, Kira M. |
| Keywords: | Consumer/Household Economics, International Development, Community/Rural/Urban Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322383&r= |
| By: | Anne Albert-Cromarias (CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA [2017-2020] - Université Clermont Auvergne [2017-2020]); Alexandre Asselineau; Grégory Blanchard |
| Abstract: | Although coopetition literature developed a lot for years, several dimensions remain under-studied. This paper addresses three of these gaps. First, the dilemma between value creation and value appropriation for coopetitors; second, the lack of empirical studies regarding the mechanisms of coopetition among micro-firms in traditional activities; third, the recent interest for geographic levels in coopetition, with a focus on the local level. Our research question is therefore: What are the mechanisms of value creation and value appropriation in local-level coopetition among micro-firms in traditional industries? We use an in-depth case study about a small French wine appellation, which is characterised by a modestly sized cultivated area occupied by small micro-firms, the existence of a cooperative cellar, but also a weak brand image. Our research contributes to the ongoing coopetition discussion in three ways: we enrich the literature on coopetition by documenting value creation and appropriation mechanisms, identifying nine different mechanisms that are collective or individual; we provide some empirical insights to coopetition literature regarding micro-firms and local-level coopetition; we produce some managerial recommendations. |
| Keywords: | Coopetition,Micro-firms,Value creation,Value appropriation,Value destruction,Wine |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03677321&r= |
| By: | Yeon, Kwanghun; Smith, Travis A. |
| Keywords: | Food Consumption/Nutrition/Food Safety, Health Economics and Policy, Institutional and Behavioral Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322162&r= |
| By: | Gilbert, Rachel D.; Stevenson, Emma; Abshir, Ayan |
| Keywords: | International Development, Resource/Energy Economics and Policy, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322601&r= |
| By: | Fernandes, Vitor M.; Kunda, Eugene L.; Robe, Michel A. |
| Keywords: | Marketing, Agribusiness, Agricultural Finance |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322061&r= |
| By: | Martínez-Hernández, Alberto Gabino |
| Abstract: | Climate change impacts in coastal areas (CA) have exposed coastal ecosystems to unprecedented conditions. System dynamic modelling (SD) has been used as a powerful tool to improve climate change adaptation (CCA) strategies. However, until now there are no review papers that summarize how academic literature that employs SD modelling has addressed CCA in CA. Hence, the main objective of this study is to provide an overview of the state of the art of this field. A systematic literature review was chosen as the main method of analysis, which was complemented with a bibliometric analysis and a categorization of the main contents of the papers selected. Our results suggest that the literature is clustered in three groups: physical or social impacts, water and agriculture management, as well as ecosystem services. Following the classification of key representative risks (KRK) of the IPCC, some topics have been addressed more than others. Most papers focus on Disaster Risk Reduction (DRR) compared to adaptation to slow onset hazards. Besides, research in developing countries remains scarce, except for the case of Vietnam. One group of models seem to be in an advanced stage or abstract enough to be applied in other areas, whereas another group is better suited for local modelling. Quantitative SD modelling has been preferred compared to qualitative or mixed approaches. Finally, Stella and Vensim seem to be the most popular platforms to run simulations. |
| Keywords: | Public Economics, Research Methods/ Statistical Methods |
| Date: | 2022–08–05 |
| URL: | http://d.repec.org/n?u=RePEc:ags:feemwp:322836&r= |
| By: | Motohashi, Kazuki; Toya, Michiyoshi |
| Keywords: | Environmental Economics and Policy, Resource/Energy Economics and Policy, Community/Rural/Urban Development |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322095&r= |
| By: | Boufous, Sawssan; Wade, Tara |
| Keywords: | Production Economics, Productivity Analysis, Environmental Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322590&r= |
| By: | Lee, Yunkyung; Perrin, Richard K.; Fulginiti, Lilyan E. |
| Keywords: | Productivity Analysis, Production Economics, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322392&r= |
| By: | Castillo, Jose G.; Hernandez, Manuel A. |
| Keywords: | Institutional and Behavioral Economics, Consumer/Household Economics, Risk and Uncertainty |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322306&r= |
| By: | Floyd, Thuy; Ishdorj, Ariun |
| Keywords: | Food Consumption/Nutrition/Food Safety, Institutional and Behavioral Economics, Environmental Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322551&r= |
| By: | Gitungwa, Henriette; Gustafson, Christopher R. |
| Keywords: | Agribusiness, Institutional and Behavioral Economics, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322443&r= |