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on Agricultural Economics |
Issue of 2021‒10‒25
53 papers chosen by |
By: | Haque, Samiul; Abedin, Naveen |
Keywords: | International Development, Production Economics, Agricultural Finance |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313947&r= |
By: | Matteo Coronese; Martina OCcelli; Francesco Lamperti; Andrea Roventini |
Abstract: | This paper presents a novel agent-based model of land use and technological change in the agricultural sector under environmental boundaries, finite available resources and changing land productivity. In particular, we model a spatially explicit economy populated by boundedly-rational farmers competing and innovating to fulfill an exogenous demand for food, while coping with a changing environment shaped by their production choices. Given the strong technological and environmental uncertainty, farmers learn and adaptively employ heuristics which guide their decisions on engaging in innovation and imitation activities, hiring workers, acquiring new farms, deforesting virgin areas and abandoning unproductive lands. Such activities in turn impact on land productivity, food production, food prices and land use. We firstly show that the model can replicate key stylized facts of the agricultural sector. We then extensively explore its properties across several scenarios featuring different institutional and behavioral settings. Finally, we showcase the properties of model in different applications considering deforestation and land abandonment; soil degradation; and climate impacts. |
Keywords: | Land use; Agent-based model; Technological change; Environmental boundaries; Sustainability. |
Date: | 2021–10–17 |
URL: | http://d.repec.org/n?u=RePEc:ssa:lemwps:2021/35&r= |
By: | Ikeme, Sionegael; Han, Doo Bong |
Keywords: | Agricultural and Food Policy, International Development, Research Methods/Statistical Methods |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313989&r= |
By: | Deka, Anubrata; Yiannaka, Amalia; Giannakas, Konstantinos |
Keywords: | Agribusiness, Marketing, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314029&r= |
By: | Amale, Hardeep S.; Negi, Digvijay S. |
Keywords: | Risk and Uncertainty, Agricultural and Food Policy, International Development |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313884&r= |
By: | Pankaj Koirala (School of Economics and Management, Kochi University of Technology); Koji Kotani (School of Economics and Management, Kochi University of Technology); Shunsuke Managi (Kyusyu University) |
Abstract: | Farm sizes and climatic perceptions are important economic and cognitive factors for farmers’ activities. However, little is known about how these factors are related to farmers’ responsiveness to climate change. This research addresses what matters for farmers’ responses to the climate change, hypothesizing that farm sizes, climatic perceptions and the interplay between the two are key determinants. We conduct questionnaire surveys with 1000 farmers in Nepal, collecting data on their adaptation responses, farm sizes, climatic perceptions and sociodemographic information in Nepal. With the data, the statistical analysis is conducted by employing the index to reflect farmers’ effective adaptation responses. The result reveals that farmers take adaptations as the farm sizes become small or as they have good climatic perceptions & social network with other farmers. It also shows that small-sized farmers tend to adapt much more in response to their climatic perceptions than do large-sized ones. Overall, this research suggests that agriculture may be losing responsiveness to climate change, as large-sized farmers become dominant by holding a majority of land in developing countries. Thus, it is advisable to reconsider the tradeoff between productivity and responsiveness to climate change regarding farm sizes as well as how large-sized farmers can be induced to adapt through their cognition, policies, social networking and technology for food security. |
Keywords: | climate change, agriculture, farm sizes, adaptations, perceptions |
Date: | 2021–10 |
URL: | http://d.repec.org/n?u=RePEc:kch:wpaper:sdes-2021-13&r= |
By: | Balasubramanya, Soumya; Kafle, Kashi |
Keywords: | International Development, International Development, Food Consumption/Nutrition/Food Safety |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313901&r= |
By: | Marijn A. Bolhuis; Swapnika R. Rachapalli; Diego Restuccia |
Abstract: | We exploit substantial variation in land-market institutions across Indian states and detailed micro household-level panel data to assess the effect of distortions in land rental markets on agricultural productivity. We provide empirical evidence that states with more rental-market activity feature less misallocation and reallocate land more efficiently over time. We develop a model of heterogeneous farms and land rentals to estimate land-market distortions in each state. Land rentals have substantial positive effects on agricultural productivity: an efficient reallocation of land increases agricultural productivity by 38 percent on average and by more than 50 percent in states with highly distorted rental markets. Both farm and state-level land market distortions are quantitatively important, with state-level wedges accounting for a significant fraction of rental market participation differences across states. Land market distortions contribute about one-third to the large differences in agricultural total factor productivity across Indian states. |
JEL: | O11 O13 O4 |
Date: | 2021–10 |
URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:29363&r= |
By: | Baldi, Florencia; Merener, Nicolas |
Keywords: | Marketing, Productivity Analysis, Agricultural Finance |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314057&r= |
By: | Cheng, Muxi; McCarl, Bruce A.; Fei, Chengcheng |
Keywords: | Agribusiness, Agricultural and Food Policy, Production Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313966&r= |
By: | Xia, Tian; Li, Xianghong |
Keywords: | Marketing, Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314089&r= |
By: | Lim, Heesun; Ahn, Byeong-il |
Keywords: | Agricultural and Food Policy, Agribusiness, Agricultural Finance |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314078&r= |
By: | Mubenga-Tshitaka, Jean-Luc; Muteba Mwamba, John W.; Dikgang, Johane; Gelo, Dambala |
Abstract: | This paper assesses the effect of extreme weather variability in predicting the impact on two agricultural crop-related variables: yield and production. We use a Markov-Switching time-varying copula to describe the joint dependence structure between extreme weather variability and crops in East Africa during the period 1961-2018. Understanding the risk associated with weather variability on agricultural production is crucial, as mitigation, and even adaptation, can then be made more effective. Climate data are divided into regimes: higher and lower regimes. The abnormal or higher regime is the period during which the temperature exceeds a certain threshold, while the lower regime is the period during which the rainfall is below a certain threshold. The findings show that there is strong dependence between weather variability and crops, meaning an increase in temperature or a decrease in rainfall is associated with a decrease in crop yield or production. The dependence is more significant when weather variability moves into either regime compared to the normal condition. The dependency in the higher regime tends to be more significant. This highlights the need to formulate policies that consider crop improvement strategies such as genetic crops, irrigation, and adaption under carbon dioxide (CO2) fertiliser to mitigate the impact on food supply in the region. |
Keywords: | Dependence structure,weather variability,markov-switching,constant and time-varying copulas |
JEL: | Q1 Q2 Q10 Q54 |
Date: | 2021 |
URL: | http://d.repec.org/n?u=RePEc:zbw:esprep:243160&r= |
By: | Abedin, Naveen; Haque, Samiul |
Keywords: | Food Consumption/Nutrition/Food Safety, Health Economics and Policy, International Development |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313967&r= |
By: | Bairagi, Subir K.; Durand-Morat, Alvaro |
Keywords: | International Development, International Relations/Trade, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313859&r= |
By: | Shakil, Golam Saroare; Marsh, Thomas L. |
Keywords: | Research Methods/Statistical Methods, Production Economics, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314047&r= |
By: | Yu, Yang; Fan, Linlin |
Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313984&r= |
By: | Sall, Ibrahima; Tronstad, Russell; Chin, Chia Yi |
Keywords: | Agribusiness, Marketing, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314080&r= |
By: | Zheng, Yanan; Goodhue, Rachael E. |
Keywords: | Agribusiness, Agricultural and Food Policy, Research Methods/Statistical Methods |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313888&r= |
By: | Graubner, Marten; Sexton, Richard J. |
Keywords: | Agribusiness, Research Methods/Statistical Methods, Production Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313962&r= |
By: | Boaitey, Albert K.; Lai, Yufeng |
Keywords: | Marketing, Agribusiness, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313991&r= |
By: | Isengildina Massa, Olga; Stewart, Shamar; Hassman, Colburn H. |
Keywords: | Agricultural Finance, Marketing, Agribusiness |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313896&r= |
By: | Srigiri, Srinivasa Reddy; Breuer, Anita; Scheumann, Waltina |
Abstract: | Interdependencies among the goals and targets make the 2030 Agenda indivisible and their integrated implementation requires coherent policies. Coordination across different sectors and levels is deemed as crucial for avoiding trade-offs and achieving synergies among multiple, interlinked policy goals, which depend on natural resources. However, there is insufficient evidence regarding the conditions under which coordination for integrated achievement of different water- and land-based Sustainable Development Goals (SDGs) functions effectively. The paper investigates the land and water governance in the Ethiopian lower Awash River basin and identifies key interdependencies among related SDGs. It assesses in how far the interactions and coordination among various decision-making centres are effective in managing the interdependencies among different goals. Systems for using and managing water and land exhibit features of polycentric governance as this process involves decision-making centres across different sectors and at various levels. Key action situations for land and water governance in operational, collective and constitutional choice levels are interlinked/networked. Each action situation constitutes actions that deliver one of the functions of polycentric governance, such as production, provision, monitoring etc. as an outcome, which affects the choices of actors in an adjacent action situation. The study shows that the existing institutions and governance mechanisms for water and land in Ethiopia are not effective in managing the interdependencies. Non-recognition of traditional communal rights of pastoralists over land and water and ineffective policy instruments for ensuring environmental and social safeguards are leading to major trade-offs among goals of local food security and economic growth. The autocratic regime of Ethiopia has coordination mechanisms in place, which fulfil the role of dissemination of policies and raising awareness. However, they are not designed to build consensus and political will for designing and implementing national plans, by including the interests and aspirations of the local communities and local governments. The study recommends efforts to achieve SDGs in the Ethiopian Awash River basin to focus on strengthening the capacities of relevant actors, especially the district and river basin authorities in delivering the key governance functions such as water infrastructure maintenance, efficient use of water, and effective implementation of Environmental Impact Assessment (EIA). Further, urgent efforts for scaling up of recognition, certification and protection of communal land rights of pastoralists and clear definition of rules for awarding compensation upon expropriation, are required. |
Date: | 2021 |
URL: | http://d.repec.org/n?u=RePEc:zbw:diedps:262021&r= |
By: | Stratica, Cristian; Harou, Aurelie P. |
Keywords: | International Development, Institutional and Behavioral Economics, Productivity Analysis |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314022&r= |
By: | Roy, Tirthankar |
Abstract: | This article says that climate shaped the long-term pattern of economic change in India and that the climatically conditioned economic change generated a distinct set of environmental consequences in the region. From the nineteenth century, political and economic processes that made scarce and controlled water resources more accessible to more people, enhanced welfare, enabled more food production and sustained urbanization. The same processes also raised water stress. These propositions carry lessons for comparative economic history and the conduct of discourses on sustainability in the present times. |
Keywords: | caste; climate; environmental history; hydrology; India; inequality; monsoon; poverty; property rights; seasonality; South Asia |
JEL: | N50 N55 O13 P48 Q00 |
Date: | 2019–11 |
URL: | http://d.repec.org/n?u=RePEc:ehl:wpaper:102589&r= |
By: | Maggio, Giuseppe; Veljanoska, Stefanija |
Keywords: | Agricultural and Food Policy, Institutional and Behavioral Economics, Consumer/Household Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314041&r= |
By: | Vecchi, Martina; Jaenicke, Edward C. |
Keywords: | Marketing, Research Methods/Statistical Methods, Food Consumption/Nutrition/Food Safety |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313958&r= |
By: | Sharma, Sankalp; Bairagi, Subir K. |
Keywords: | Agricultural and Food Policy, Agribusiness, Risk and Uncertainty |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313998&r= |
By: | Nouve, Yawotse; McCullough, Ellen |
Keywords: | Consumer/Household Economics, International Development, Production Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314034&r= |
By: | Emmanuelle Augeraud-Véron; Giorgio Fabbri (GAEL - Laboratoire d'Economie Appliquée de Grenoble - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes); Katheline Schubert |
Abstract: | How can decentralized individual decisions inefficiently reduce the ability of biodiversity to mitigate ecological and environmental variability and then its "natural insurance" role? In this article we present a simple theoretical setup to address this question and to evaluate some policy options. We study a model of strategic competition among farmers for the conversion of a natural forest to agricultural land. Unconverted forest land allows to conserve biodiversity, which contributes to reducing the volatility of agricultural production. Agents' utility is given in terms of a Kreps Porteus stochastic differential utility capable of disentangling risk aversion and aversion to fluctuations. We characterize the land used by each farmer and her welfare at the Nash equilibrium, we evaluate the overexploitation of the land and the agents' welfare loss compared to the socially optimal solution and we study the drivers of the inefficiencies of the decentralized equilibrium. After characterizing the value of biodiversity in the model, we use it to obtain a decomposition which helps to study the policy implications of the model by identifying in which cases the allocation of property rights is preferable to the introduction of a tax on land conversion. Our results suggest that enforcing property rights is more relevant in case of stagnant economies while taxing land conversion may be more suited for rapidly developing economies. |
Date: | 2021–08–25 |
URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03369958&r= |
By: | Meng, Shu; Goodwin, Barry K. |
Keywords: | Agricultural Finance, Research Methods/Statistical Methods, Agribusiness |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313897&r= |
By: | Kim, Dongin; Steinbach, Sandro |
Keywords: | International Relations/Trade, Marketing, Community/Rural/Urban Development |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313983&r= |
By: | Ray, Susweta; Giannakas, Konstantinos |
Keywords: | Marketing, Food Consumption/Nutrition/Food Safety, Agribusiness |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313999&r= |
By: | Moon, Donghyun; Kim, Sanghyo |
Keywords: | Marketing, Food Consumption/Nutrition/Food Safety, Consumer/Household Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313948&r= |
By: | Soon, Byung Min; Lee, Yong-Sun |
Keywords: | Marketing, Labor and Human Capital, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313890&r= |
By: | Kim, Sanghyo; Shin, Seongyong |
Keywords: | Agribusiness, Marketing, Food Consumption/Nutrition/Food Safety |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313990&r= |
By: | Sampson, Gabriel; Gardner, Grant |
Keywords: | Resource/Energy Economics and Policy, Environmental Economics and Policy, Production Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313854&r= |
By: | Kanjilal, Kiriti; Ahmed, Haseeb |
Keywords: | Resource/Energy Economics and Policy, Agribusiness, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313889&r= |
By: | Hackston, David C. |
Keywords: | Agricultural and Food Policy |
Date: | 2021–10–14 |
URL: | http://d.repec.org/n?u=RePEc:ags:ctrf31:314712&r= |
By: | Leschewski, Andrea M.; Davis, David E. |
Keywords: | Food Consumption/Nutrition/Food Safety, Consumer/Household Economics, Marketing |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313850&r= |
By: | Hosni, Hanin; Giannakas, Konstantinos |
Keywords: | Agricultural and Food Policy, Environmental Economics and Policy, Health Economics and Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314004&r= |
By: | Davis, George C. |
Keywords: | Food Consumption/Nutrition/Food Safety, Consumer/Household Economics, Agricultural and Food Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313993&r= |
By: | Iglesias Pinedo, Wilman J. |
Keywords: | Production Economics, Resource/Energy Economics and Policy, Research Methods/Statistical Methods |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314085&r= |
By: | Partridge, Jacob; Delmond, Anthony R. |
Keywords: | Agricultural Finance, Risk and Uncertainty, Agribusiness |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314046&r= |
By: | Gao, Huajie; Ye, Chunhui |
Keywords: | Agricultural and Food Policy, Labor and Human Capital, Community/Rural/Urban Development |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313955&r= |
By: | Dey, Madan M.; Surathkal, Prasanna |
Keywords: | Marketing, International Development, Research Methods/Statistical Methods |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314053&r= |
By: | Yang, Yao; Karali, Berna |
Keywords: | Agricultural Finance, Risk and Uncertainty, Marketing |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313923&r= |
By: | Lee, Yunkyung; Giannakas, Konstantinos |
Keywords: | Agricultural and Food Policy, Marketing, Food Consumption/Nutrition/Food Safety |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313924&r= |
By: | Vito Ricci (Università degli Studi di Bari Aldo Moro, Italy); Giacomo Zanibelli (Dipartimento di Scienze Economiche e Statistiche, Università di Napoli Federico II, Italy) |
Abstract: | In this study, land inequality in Italy during fascism was observed and reconstructed in order to offer new elements of analysis related to the study of inequality in the Italian countryside during the first half of the twentieth century. Using provincial data of the 1930Agricultural Census, five indicators of land inequality were constructed. Initially, a univariate analysis was carried out, taking the indicators individually; subsequently, using a multivariate approach, three synthetic indicators were produced. Finally, the provinces were divided into homogeneous clusters based on the concentration of land ownership. A notable useful tool for analysis was mapping using GIS software. |
Keywords: | Land Inequality, Fascism, Italy, Agriculture |
JEL: | N53 O13 O44 Q15 |
Date: | 2021–10 |
URL: | http://d.repec.org/n?u=RePEc:ahe:dtaehe:2107&r= |
By: | Ghosh, Sanchari; Willett, Keith D. |
Keywords: | Resource/Energy Economics and Policy, Environmental Economics and Policy, Community/Rural/Urban Development |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313858&r= |
By: | Simandjuntak, Daniel P.; Jaenicke, Edward C. |
Keywords: | Marketing, Consumer/Household Economics, Agribusiness |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:313929&r= |
By: | Friesen, Arthur; Fruin, Jerry |
Keywords: | Farm Management |
Date: | 2021–10–14 |
URL: | http://d.repec.org/n?u=RePEc:ags:ctrf31:314702&r= |
By: | Deb, Prokash; Dey, Madan M.; Surathkal, Prasanna |
Keywords: | International Development, Agribusiness, Marketing |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea21:314077&r= |