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1

Takle, Eugene S., David Gustafson, Roger Beachy, Gerald C. Nelson, Daniel Mason-D’Croz, and Amanda Palazzo. "US Food Security and Climate Change: Agricultural Futures." Economics: The Open-Access, Open-Assessment E-Journal 7, no. 2013-34 (2013): 1. http://dx.doi.org/10.5018/economics-ejournal.ja.2013-34.

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2

McCarl, Bruce A., and Thomas W. Hertel. "Climate Change as an Agricultural Economics Research Topic." Applied Economic Perspectives and Policy 40, no. 1 (February 16, 2018): 60–78. http://dx.doi.org/10.1093/aepp/ppx052.

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3

Ali, Essossinam. "Climate change and agricultural development in West Africa: Role of renewable energy and trade openness." Environmental Economics 12, no. 1 (February 8, 2021): 14–31. http://dx.doi.org/10.21511/ee.12(1).2021.02.

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The design, implementation, and evaluation of energy policies in combating climate change are becoming increasingly evident to strengthen economic growth driven by the agricultural sector in most developing countries. The study analyzes the direct and indirect effects of renewable energy consumption (REC) on agriculture value-added (AgVA), CO2 emissions, and trade openness in the short- and long-run in the West African countries. The second-generation panel unit root tests, the panel cointegration methods, and Panel Vector Error Correction Model are used with World Bank data from 1990 to 2015. A panel Granger causality test was also used to determine the direction of causality between variables. Findings show a unidirectional relationship between AgVA, CO2 emissions, and REC; between REC, gross fixe capital formation (GFCF) and trade openness. Moreover, the bidirectional hypothesis is verified between agricultural development and trade openness. However, the null hypothesis is found between AgVA and GFCF, on the one hand, and GFCF and CO2 emissions, on the other hand. These results suggest that fostering renewable energy policy and revisiting trade policy toward reducing environmental pollution will enable agricultural development and boost the regional economy. AcknowledgmentThe author wants to thank Dr. Moukpè GNINIGUE for his technical supports and Prof. Jean Marcelin Bosson BROU from the University of Houphouet Boigny (Cote d’Ivoire), Dr. Odzadifo K. WONYRA and Dr. Hodabalo BATAKA from the University of Kara, Dr. Koffi Massesso ADJI from the West African Sciences Services Centre on Climate Change and Land Use (University of Cheikh Anta Diop, Dakar) and Essotanam MAMBA from the University of Lomé for their constructive comments on the earlier version of this manuscripts. Finally, the author is grateful to the anonymous reviewers and Editor-in-Chief of Environmental Economics, whose comments have improved this paper. However, the opinions expressed in this paper are solely those of the author.
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4

Baylis, Kathy, Nicholas D. Paulson, and Gianfranco Piras. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application." Journal of Agricultural and Applied Economics 43, no. 3 (August 2011): 325–38. http://dx.doi.org/10.1017/s1074070800004326.

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Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatial econometric methods for panel data. We then illustrate some of these tools within a climate change application using a hedonic model of farmland values and panel data. Estimates for the model are provided across a range of nonspatial and spatial estimators, including spatial error and spatial lag models with fixed and random effects extensions. Given the importance of location and extensive use of panel data in many subfields of agricultural economics, these recently developed spatial panel methods hold great potential for applied researchers.
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Bolatova, Zh B., and S. Engindeniz. "The Economics of Climate Change in Agriculture of Kazakhstan." Economy and ecology of territorial educations 5, no. 2 (2021): 25–35. http://dx.doi.org/10.23947/2413-1474-2021-5-2-25-35.

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At the end of the XX - beginning of the XXI century, there are global processes of climate change under the influence of anthropogenic factors, the preservation of these trends entail extreme and almost irreversible consequences. It is obvious that climate change affects agricultural production and its productivity throughout the world. The climate change economy is an innovative economy direction that emerged at the junction of ecology and economy and global environmental requirements are conditioned. The agriculture one of the major sources of greenhouse gas emissions, can play an important role in mitigating the effects of climate change. The principles of the economy of climate change are aimed at solving two key issues: achieving "improved growth" and achieving an "improved climate". Objectives of the review: to analyze the global processes of climate change; to study the economic impacts of climate change on agriculture in Kazakhstan; consider a system of measures to prevent global climate change in the context of the climate change economy. For review have used different literature as IPCC, WMO, WTO, FАО, UNEP, UNFCCC, UNDP, IMF, WB, ОEСD, KAZHYDROMET, IRRI, Committee of the Statistics of the Kazakhstan reports and etc.
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6

Garnaut, Ross. "Climate change and the Australian agricultural and resource industries." Australian Journal of Agricultural and Resource Economics 54, no. 1 (January 2010): 9–25. http://dx.doi.org/10.1111/j.1467-8489.2009.00481.x.

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7

Kiselev, S. V., A. S. Strokov, and A. Yu Belugin. "Projections of Russia’s agricultural development under the conditions of climate change." Studies on Russian Economic Development 27, no. 5 (September 2016): 548–56. http://dx.doi.org/10.1134/s1075700716050063.

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Carter, Colin, Xiaomeng Cui, Dalia Ghanem, and Pierre Mérel. "Identifying the Economic Impacts of Climate Change on Agriculture." Annual Review of Resource Economics 10, no. 1 (October 5, 2018): 361–80. http://dx.doi.org/10.1146/annurev-resource-100517-022938.

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The ultimate impact of climate change on human systems will depend on the natural resilience of ecosystems on which societies rely as well as on adaptation measures taken by agents, individually and collectively. No sector of the economy is more reliant on climate than agriculture. Evidence from the American settlement process suggests that societies can successfully adapt to new climatic environments. Whether and how much agriculture will manage to adapt to a changing climate remains an open question in the empirical economics literature, however. This article reviews the existing evidence on weather and/or climate impacts on agricultural outcomes from the economics literature, with a focus on methodological questions. Some key econometric issues associated with climate impact measurement are discussed. We also outline important questions that have not been adequately addressed and suggest directions for future research.
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9

Sohngen, Brent. "Climate Change and Forests." Annual Review of Resource Economics 12, no. 1 (October 6, 2020): 23–43. http://dx.doi.org/10.1146/annurev-resource-110419-010208.

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Forests have become an important carbon sink in the last century, with management and carbon fertilization offsetting nearly all of the carbon emitted due to deforestation and conversion of land into agricultural uses. Society appears already to have decided that forests will play an equally ambitious role in the future. Given this, economists are needed to help better understand the efficiency of efforts society may undertake to expand forests, protect them from losses, manage them more intensively, or convert them into wood products, including biomass energy. A rich literature exists on this topic, but a number of critical information gaps persist, representing important opportunities for economists to advance knowledge in the future. This article reviews the literature on forests and climate change and provides some thoughts on potential future research directions.
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Roy, Chandan, and Indrila Guha. "Economics of Climate Change in the Indian Sundarbans." Global Business Review 18, no. 2 (March 30, 2017): 493–508. http://dx.doi.org/10.1177/0972150916668683.

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Sundarbans is the largest mangrove forest in the world and a UNESCO World Heritage site. This area is populated by some of the world’s poorest people characterized by low levels of socio-economic indicators. However, it is one of the richest areas in the world in terms of natural resources and biodiversity. Climate change is evident here and is one of the important drivers of migration, food insecurity and poverty in this area. The basic objective of our study is to assess the socio-economic impact of climate change and its implications for availability of natural resources, and thereby to understand the adaptation needs of the people. Climate change not only impacts agricultural productivity but also the occupational structure. The decline in food security and the lack of other developmental choices in the face of climate variability are a serious threat to the economic viability of population. We have used stratified sampling techniques for data collection at household level based on pre-designed questionnaires and focus group discussion. We have tried to analyze vulnerability based on LIFE framework and log-linear regression model, and suggest some adaptation strategies to reduce vulnerability.
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11

Fisher, Brian S. "Antipodean agricultural and resource economics at 60: climate change policy and energy transition." Australian Journal of Agricultural and Resource Economics 60, no. 4 (August 15, 2016): 692–705. http://dx.doi.org/10.1111/1467-8489.12156.

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12

Randhir, Timothy O., and Thomas W. Hertel. "Trade Liberalization as a Vehicle for Adapting to Global Warming." Agricultural and Resource Economics Review 29, no. 2 (October 2000): 159–72. http://dx.doi.org/10.1017/s1068280500005293.

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This study assesses the potential interaction between climate change and agricultural trade policies. We distinguish between two dimensions of agricultural trade policy: market insulation and subsidy levels. Building on the previous work of Tsigas, Frisvold and Kuhn (1997) we find that, in the presence of current levels of agricultural subsidies, increased price transmission—as called for under the Uruguay Round Agreement on Agriculture—reduces global welfare in the wake of climate change. This is due to the positive correlation between productivity changes and current levels of agricultural support. Increases in subsidized output under climate change tend to exacerbate inefficiencies in the global agricultural economy in the absence of market insulation. However, once agricultural subsidies have also been eliminated, price transmission via the global trading system contributes positively to economic adaptation under climate change.
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Xin, Xian, Tun Lin, Xiaoyun Liu, Guanghua Wan, and Yongsheng Zhang. "Climate change and the impacts on China’s agricultural interregional trade flows." China Agricultural Economic Review 7, no. 2 (May 5, 2015): 158–66. http://dx.doi.org/10.1108/caer-06-2014-0065.

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Purpose – The impacts of climate change on agricultural production in the People’s Republic of China’s (PRC) are significant, and differ across regions and crops. The substantial regional differences will induce changes in agricultural interregional trade pattern. The purpose of this paper is to investigate the climate change impacts on China’s agricultural interregional trade pattern. Design/methodology/approach – The paper will use the computable general equilibrium (CGE) model to assess the impacts of climate change on the PRC’s agricultural interregional trade flows. The CGE model consists of seven Chinese regions and the rest of the world and six commodities. Findings – The results indicate that northwest, south, central, and northeast PRC will see increases in the outflows of agricultural products in 2030 and 2050. Conversely, outflows from east, north, and southwest PRC will decrease. Agricultural products handling and transportation facilities need to be repositioned to address the changes in agricultural trade flows. Originality/value – Studies on the impacts of climate change on the PRC’s agriculture have been increasing. To the best of our knowledge, however, no previous studies have assessed the impacts of climate change on the PRC’s agricultural interregional trade flows. This paper aims to fill this gap in the literature.
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14

Ogbuabor, Jonathan E., Anthony Orji, Charles O. Manasseh, and Onyinye I. Anthony Orji. "Climate change and agricultural output in the ECOWAS region." International Journal of Sustainable Economy 12, no. 4 (2020): 403. http://dx.doi.org/10.1504/ijse.2020.112304.

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15

Morris, Julian. "Submission to House of Lords: Inquiry ‘Aspects of the Economics of Climate Change’." Energy & Environment 16, no. 3-4 (July 2005): 639–47. http://dx.doi.org/10.1260/0958305054672475.

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Some claim that climate change will result in an increase in vector-borne disease, flooding, catastrophic weather events, loss of biodiversity, changes in agricultural production and other problems. Yet these are problems today and are either caused or are exacerbated by poverty. Tackling poverty is likely to be better way to address these problems than attempting to control the climate. Climatic change may turn out to be benign or harmful: We do not know. But in the context of this uncertainty, policies that are narrowly focused on adaptation to possible negative effects are short-sighted and may even be counterproductive. Policies aimed at mitigation through control of atmospheric carbon are almost certainly counterproductive. Adaptive, sustainable development can only come through the adoption of institutions that enable people to engage in economic activities that create wealth and lead to technological progress. Policies that rely on these institutions provide the best way to deal with an uncertain climate future.
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16

Gershon, Obindah, and Chinua Mbajekwe. "INVESTIGATING THE NEXUS OF CLIMATE CHANGE AND AGRICULTURAL PRODUCTION IN NIGERIA." International Journal of Energy Economics and Policy 10, no. 6 (October 10, 2020): 1–8. http://dx.doi.org/10.32479/ijeep.9843.

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17

Finger, Robert, and Stéphanie Schmid. "Modeling agricultural production risk and the adaptation to climate change." Agricultural Finance Review 68, no. 1 (May 5, 2008): 25–41. http://dx.doi.org/10.1108/00214660880001217.

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18

Crost, Benjamin, Claire Duquennois, Joseph H. Felter, and Daniel I. Rees. "Climate change, agricultural production and civil conflict: Evidence from the Philippines." Journal of Environmental Economics and Management 88 (March 2018): 379–95. http://dx.doi.org/10.1016/j.jeem.2018.01.005.

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19

Burke, Marshall, and Kyle Emerick. "Adaptation to Climate Change: Evidence from US Agriculture." American Economic Journal: Economic Policy 8, no. 3 (August 1, 2016): 106–40. http://dx.doi.org/10.1257/pol.20130025.

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Understanding the potential impacts of climate change on economic outcomes requires knowing how agents might adapt to a changing climate. We exploit large variation in recent temperature and precipitation trends to identify adaptation to climate change in US agriculture, and use this information to generate new estimates of the potential impact of future climate change on agricultural outcomes. Longer run adaptations appear to have mitigated less than half—and more likely none—of the large negative short-run impacts of extreme heat on productivity. Limited recent adaptation implies substantial losses under future climate change in the absence of countervailing investments. (JEL Q11, Q15, Q51, Q54)
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20

Wunder, Sven, Frederik Noack, and Arild Angelsen. "Climate, crops, and forests: a pan-tropical analysis of household income generation." Environment and Development Economics 23, no. 3 (April 6, 2018): 279–97. http://dx.doi.org/10.1017/s1355770x18000116.

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AbstractRural households in developing countries depend on crops, forest extraction and other income sources for their livelihoods, but these livelihood contributions are sensitive to climate change. Combining socioeconomic data from about 8,000 smallholder households across the tropics with gridded precipitation and temperature data, we find that households have the highest crop income at 21°C temperature and 2,000 mm precipitation. Forest incomes increase on both sides of this agricultural maximum. We further find indications that crop income declines in response to weather shocks while forest income increases, suggesting that households may cope by reallocating inputs from agriculture to forests. Forest production may thus be less sensitive than crop production to climatic fluctuations, gaining comparative advantage in extreme climates and under weather anomalies. This suggests that well-managed forests might help poor rural households to cope with and adapt to future climate change.
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21

Fisher, Anthony C., W. Michael Hanemann, Michael J. Roberts, and Wolfram Schlenker. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment." American Economic Review 102, no. 7 (December 1, 2012): 3749–60. http://dx.doi.org/10.1257/aer.102.7.3749.

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In a series of studies employing a variety of approaches, we have found that the potential impact of climate change on US agriculture is likely negative. Deschênes and Greenstone (2007) report dramatically different results based on regressions of agricultural profits and yields on weather variables. The divergence is explained by (1) missing and incorrect weather and climate data in their study; (2) their use of older climate change projections rather than the more recent and less optimistic projections from the Fourth Assessment Report; and (3) difficulties in their profit measure due to the confounding effects of storage.
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Hallegatte, Stephane, Marianne Fay, and Edward B. Barbier. "Poverty and climate change: introduction." Environment and Development Economics 23, no. 3 (May 16, 2018): 217–33. http://dx.doi.org/10.1017/s1355770x18000141.

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AbstractBecause their assets and income represent such a small share of national wealth, the impacts of climate change on poor people, even if dramatic, will be largely invisible in aggregate economic statistics such as the Gross Domestic Product (GDP). Assessing and managing future impacts of climate change on poverty requires different metrics, and specific studies focusing on the vulnerability of poor people. This special issue provides a set of such studies, looking at the exposure and vulnerability of people living in poverty to shocks and stressors that are expected to increase in frequency or intensity due to climate change, such as floods, droughts, heat waves, and impacts on agricultural production and ecosystem services. This introduction summarizes their approach and findings, which support the idea that the link between poverty and climate vulnerability goes both ways: poverty is one major driver of people's vulnerability to climate-related shocks and stressors, and this vulnerability is keeping people in poverty. The paper concludes by identifying priorities for future research.
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Aragón, Fernando M., Francisco Oteiza, and Juan Pablo Rud. "Climate Change and Agriculture: Subsistence Farmers’ Response to Extreme Heat." American Economic Journal: Economic Policy 13, no. 1 (February 1, 2021): 1–35. http://dx.doi.org/10.1257/pol.20190316.

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This paper examines how subsistence farmers respond to extreme heat. Using microdata from Peruvian households, we find that high temperatures reduce agricultural productivity, increase area planted, and change crop mix. These findings are consistent with farmers using input adjustments as a short-term mechanism to attenuate the effect of extreme heat on output. This response seems to complement other coping strategies, such as selling livestock, but exacerbates the drop in yields, a standard measure of agricultural productivity. Using our estimates, we show that accounting for land adjustments is important to quantify damages associated with climate change. (JEL O12, O13, Q11, Q12, Q15, Q54)
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Asfaw, Solomon, Federica Di Battista, and Leslie Lipper. "Agricultural Technology Adoption under Climate Change in the Sahel: Micro-evidence from Niger." Journal of African Economies 25, no. 5 (April 28, 2016): 637–69. http://dx.doi.org/10.1093/jae/ejw005.

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MUSHTAQ, S., N. WHITE, G. COCKFIELD, B. POWER, and G. JAKEMAN. "Reconfiguring agriculture through the relocation of production systems for water, environment and food security under climate change." Journal of Agricultural Science 153, no. 5 (November 10, 2014): 779–97. http://dx.doi.org/10.1017/s0021859614001117.

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SUMMARYThe prospect of climate change has revived both fears of food insecurity and its corollary, market opportunities for agricultural production. In Australia, with its long history of state-sponsored agricultural development, there is renewed interest in the agricultural development of tropical and sub-tropical northern regions. Climate projections suggest that there will be less water available to the main irrigation systems of the eastern central and southern regions of Australia, while net rainfall could be sustained or even increase in the northern areas. Hence, there could be more intensive use of northern agricultural areas, with the relocation of some production of economically important commodities such as vegetables, rice and cotton. The problem is that the expansion of cropping in northern Australia has been constrained by agronomic and economic considerations.The present paper examines the economics, at both farm and regional level, of relocating some cotton production from the east-central irrigation areas to the north where there is an existing irrigation scheme together with some industry and individual interest in such relocation. Integrated modelling and expert knowledge are used to examine this example of prospective climate change adaptation. Farm-level simulations show that without adaptation, overall gross margins will decrease under a combination of climate change and reduction in water availability. A dynamic regional Computable General Equilibrium model is used to explore two scenarios of relocating cotton production from south east Queensland, to sugar-dominated areas in northern Queensland. Overall, an increase in real economic output and real income was realized when some cotton production was relocated to sugar cane fallow land/new land. There were, however, large negative effects on regional economies where cotton production displaced sugar cane. It is concluded that even excluding the agronomic uncertainties, which are not examined here, there is unlikely to be significant market-driven relocation of cotton production.
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Roy, Apurba, and Mohammed Ziaul Haider. "Stern review on the economics of climate change: implications for Bangladesh." International Journal of Climate Change Strategies and Management 11, no. 1 (January 14, 2019): 100–117. http://dx.doi.org/10.1108/ijccsm-04-2017-0089.

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Purpose The purpose of this study is to investigate the impact of climate change on economic development in Bangladesh. More specifically, the research aims to figure out the influence of climate change on gross domestic product (GDP) growth rate related to different sectors such as agriculture, forest, water, health and infrastructure. It also attempts to explore the effect of climate change on the coastal economy of Bangladesh. Design/methodology/approach A set of statistical and econometric techniques, including descriptive and correlation analysis and time series regression model, was applied to address the objective of the research. Sector-wise time series economic data were collected from the World Bank for the period between 1971 and 2013. Climate data were received from the Bangladesh Agricultural Research Council online database for the period between 1948 and 2013. Findings The results from the statistical analysis show that climate variables such as temperature and rainfall have changed between 1948 and 2013 in the context of Bangladesh. The econometric regression analysis demonstrates that an increase by 1°C of annual mean temperature leads to a decrease in the GDP growth rate by 0.44 per cent on average, which is statistically significant at the 5 per cent level. On the other hand, the estimated coefficients of agriculture, industry, services, urbanization and export are positively associated with GDP growth rate, and these are statistically significant at the 1 per cent level. Sector-wise correlation analysis provides statistical evidence that climate change is negatively associated with various sectors, such as agriculture, forest, human health and arable land. In contrast, it has a positive relation to water access and electricity consumption. Analysis of coastal regions shows that climate change negatively affects the local economic sectors of the coastal zone of the country. Originality/value Although this study has received significant insight from the world-renowned research publication “The Economics of Climate Change: The Stern Review”, there is a dearth of research on the economic impact of climate change in the context of Bangladesh. The findings of the paper provide deep insight into and comprehensive views of policy makers on the impact of climate change on economic growth and various sectors in Bangladesh.
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Deschênes, Olivier, and Michael Greenstone. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather." American Economic Review 97, no. 1 (February 1, 2007): 354–85. http://dx.doi.org/10.1257/aer.97.1.354.

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This paper measures the economic impact of climate change on US agricultural land by estimating the effect of random year-to-year variation in temperature and precipitation on agricultural profits. The preferred estimates indicate that climate change will increase annual profits by $1.3 billion in 2002 dollars (2002$) or 4 percent. This estimate is robust to numerous specification checks and relatively precise, so large negative or positive effects are unlikely. We also find the hedonic approach—which is the standard in the previous literature—to be unreliable because it produces estimates that are extremely sensitive to seemingly minor choices about control variables, sample, and weighting. (JEL L25, Q12, Q51, Q54)
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Green, Andrew, Kathleen A. Lewis, John Tzilivakis, and Douglas J. Warner. "Agricultural climate change mitigation: carbon calculators as a guide for decision making." International Journal of Agricultural Sustainability 15, no. 6 (November 2, 2017): 645–61. http://dx.doi.org/10.1080/14735903.2017.1398628.

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Antle, John M., and Susan M. Capalbo. "Adaptation of Agricultural and Food Systems to Climate Change: An Economic and Policy Perspective." Applied Economic Perspectives and Policy 32, no. 3 (September 2010): 386–416. http://dx.doi.org/10.1093/aepp/ppq015.

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Georgilas, Ioannis, George Vlontzos, Christina Moulogianni, and Thomas Bournaris. "Methodologies used to assess the impacts of climate change in agricultural economics: a rapid review." International Journal of Sustainable Agricultural Management and Informatics 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijsami.2021.10041075.

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Vargas, Renato, Maynor Cabrera, Martin Cicowiez, Pamela Escobar, Violeta Hernández, Javier Cabrera, and Vivian Guzmán. "Climate risk and food availability in Guatemala." Environment and Development Economics 23, no. 5 (August 2, 2018): 558–79. http://dx.doi.org/10.1017/s1355770x18000335.

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AbstractIn this paper, we use a computable general equilibrium model to simulate the effects of drought and a decrease in agricultural productivity caused by climate change in Guatemala. A reduction in agricultural productivity would mean a considerable drop in crop and livestock production, and the resulting higher prices and lower household income would mean a significant reduction in the consumption of agricultural goods and food. The most negative effects of a drought would be concentrated in agriculture, given its intensive use of water. Because agricultural production is essential to ensuring food availability, these results suggest that Guatemala needs a proper water-distribution regulatory framework.
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Leitão, Nuno Carlos, and Jeremiás Máté Balogh. "The impact of intra-industry trade on carbon dioxide emissions: The case of the European Union." Agricultural Economics (Zemědělská ekonomika) 66, No. 5 (May 25, 2020): 203–14. http://dx.doi.org/10.17221/312/2019-agricecon.

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The reductions of climate change and greenhouse gas emissions are an essential objective of the European Union (EU) to achieving the reduction target by 20% by 2020. Along with energy consumption and agriculture, trade has a diverse impact on climate change. International trade usually negatively affects the environment, while the influence of intra-industry trade is more favourable. The paper investigates the impact of energy use, agriculture, and intra-industry trade on environmental pollution in EU countries using panel data for the period 2000–2014. The research frames the theoretical hypothesis that describing the relationship between agricultural intra-industry trade and climate change. The assumptions are confirmed by panel fixed effects, and Generalized Method of Moment (GMM) estimations, and the panel cointegration test. The empirical results have supported by the literature, and all variables used in this study are stationary applying panel unit root test. Results show that agricultural intra-industry trade, renewable energy is negatively correlated with climate change, confirming the less pollutant hypothesis, while economic growth and agricultural productivity induce environmental problems. This study confirms the theoretical hypotheses explaining the effect of intra-industry trade for agricultural products as well as the impacts of renewable energy use, agricultural land productivity, and economic growth on CO2 emissions.
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Waldman, Kurt B., and Robert B. Richardson. "Confronting Tradeoffs Between Agricultural Ecosystem Services and Adaptation to Climate Change in Mali." Ecological Economics 150 (August 2018): 184–93. http://dx.doi.org/10.1016/j.ecolecon.2018.04.003.

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Wood, Stephen A., and Robert O. Mendelsohn. "The impact of climate change on agricultural net revenue: a case study in the Fouta Djallon, West Africa." Environment and Development Economics 20, no. 1 (March 17, 2014): 20–36. http://dx.doi.org/10.1017/s1355770x14000084.

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AbstractContinental-scale economic analysis suggests that changes in climate conditions are associated with lower agricultural net revenue in sub-Saharan Africa. Specific locations, however, may not reflect this overall trend due to variation in baseline climate, soils, and socioeconomic factors that are difficult to model at large scales. The economic effect of changes in climate conditions on agricultural revenue in particular places in sub-Saharan Africa remains largely unknown. To test this effect, we study an area of West Africa with high climate variation over a small geographic area. We find that higher temperatures and precipitation lower agricultural revenues in the more important rainy season but increase revenues in the less important cool, dry season.
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Miao, Ruiqing. "Climate, insurance and innovation: the case of drought and innovations in drought-tolerant traits in US agriculture." European Review of Agricultural Economics 47, no. 5 (June 10, 2020): 1826–60. http://dx.doi.org/10.1093/erae/jbaa010.

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Abstract This paper investigates the effects of crop insurance on agricultural innovation (namely, drought-tolerant traits) in the context of climate change. A conceptual framework is developed to model the market equilibrium of agricultural innovations. Hypotheses derived are then tested by using data for US agriculture. We find that the US agricultural sector responds to climate variation by increasing innovation activities, but this response is weakened by subsidised crop insurance by about 23 per cent. This indicates that crop insurance may have an unintended crowding-out effect as an option of risk management and may inhibit societies’ long-run capacity to adapt to climate change.
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Etwire, Prince M., David Fielding, and Viktoria Kahui. "Climate Change, Crop Selection and Agricultural Revenue in Ghana: A Structural Ricardian Analysis." Journal of Agricultural Economics 70, no. 2 (October 8, 2018): 488–506. http://dx.doi.org/10.1111/1477-9552.12307.

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37

Baldos, Uris Lantz C., and Thomas W. Hertel. "Global food security in 2050: the role of agricultural productivity and climate change." Australian Journal of Agricultural and Resource Economics 58, no. 4 (March 5, 2014): 554–70. http://dx.doi.org/10.1111/1467-8489.12048.

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38

Koç, Gökçe, and Ayse Uzmay. "THE EFFECT OF CLIMATE CHANGE ON THE COST OF DAIRY FARMS IN TURKEY; CASE STUDY OF THRACE REGION." New Medit 18, no. 3 (September 15, 2019): 31–46. http://dx.doi.org/10.30682/nm1903c.

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In Turkey, studies investigating the economic effects of climate change on agriculture are limited and there is little or no research that focuses on livestock production as regards changes in climate. In this context, the main objective of this research is to analyze the impacts of climate change on dairy cattle farms in terms of costs, according to different future scenarios and farms scales. Interviews were conducted with 140 dairy farmers in Thrace Region. To analyze the change in costs, the model developed by Calil et al. (2012) was used. According to the results of cost analysis, it was determined that climate change will lead to a 10-50% cost increase on dairy farms by the year 2044. The heat stress is responsible for 48-71% of the increase in the cost of production, where 24-52% is due to an increase in feed prices. Based on the outcome of this research, it was suggested that agricultural extension activities should be carried out in order for farms to get adapted to climate change. Agricultural supports and investment projects should be related to climate change.
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39

Hassan, R. M. "Implications of Climate Change for Agricultural Sector Performance in Africa: Policy Challenges and Research Agenda." Journal of African Economies 19, Supplement 2 (January 1, 2010): ii77—ii105. http://dx.doi.org/10.1093/jae/ejp026.

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40

Cline, Sarah, and Sahan T. M. Dissanayake. "Special Issue on Climate Change and Land Conservation and Restoration: Advances in Economics Methods and Policies for Adaptation and Mitigation." Agricultural and Resource Economics Review 47, no. 2 (August 2018): 195–200. http://dx.doi.org/10.1017/age.2018.16.

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Climate change will likely impact the ecosystem services and biodiversity generated from conserved land. Land conservation can also play a significant role in achieving cost-effective mitigation of greenhouse gas emissions. In this special issue we feature seven papers from the 2017 NAREA Workshop, “Climate Change and Land Conservation and Restoration: Advances in Economics Methods and Policies for Adaptation and Mitigation.” The articles include papers furthering the methodological frontier; portfolio optimization, dynamic rangeland stocking, and global timber harvest models, and those highlighting innovative applications; climate smart agricultural practices in Nigeria and Vietnam, welfare impacts on birding, and carbon and albedo pricing.
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Sibanda, Mabutho, and Hlengiwe Ndlela. "THE LINK BETWEEN CARBON EMISSIONS, AGRICULTURAL OUTPUT AND INDUSTRIAL OUTPUT: EVIDENCE FROM SOUTH AFRICA." Journal of Business Economics and Management 21, no. 2 (February 24, 2020): 301–16. http://dx.doi.org/10.3846/jbem.2020.11408.

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This study seeks to establish the relationship between carbon emissions, agricultural output and industrial output in South Africa. It uses data from 1960 to 2017 based on an annual frequency, giving a total of 58 annual observations. The Autoregressive Distributed Lag technique is employed to estimate the model on a bivariate basis. The evidence shows that carbon emissions are not influenced by agricultural and industrial output. Conversely, agricultural output is influenced by carbon emissions and industrial output. The results suggest that climate change resulting from carbon emissions has led to reduced agricultural output, adversely affecting food security. The significant relationship between industrial and agricultural output suggests that a properly functioning industrial sector will cause an increase in the agricultural output. The study’s findings have implications for climate change and manufacturing policies in South Africa.
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42

Deschênes, Olivier, and Michael Greenstone. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Reply." American Economic Review 102, no. 7 (December 1, 2012): 3761–73. http://dx.doi.org/10.1257/aer.102.7.3761.

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Fisher et al. (2012)––henceforth, FHRS––have uncovered coding and data errors in our paper, Deschênes and Greenstone (2007), henceforth, DG. We acknowledge and are embarrassed by these mistakes. We are grateful to FHRS for uncovering them. We hope that this Reply will also contribute to advancing the literature on the vital question of the impact of climate change on the US agricultural sector.
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43

Boyd, Chris M., and Marc F. Bellemare. "The Microeconomics of Agricultural Price Risk." Annual Review of Resource Economics 12, no. 1 (October 6, 2020): 149–69. http://dx.doi.org/10.1146/annurev-resource-100518-093807.

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Much of neoclassical economics is concerned with prices—more specifically, with relative prices. Similarly, economists have studied behavior in the face of risk and uncertainty for at least a century, and risk and uncertainty are without a doubt a feature of economic life. It is thus puzzling that price risk—that is, unexpected departures from a mean price level, or price volatility—has received so little attention. In this review, we discuss the microeconomics of price risk. We begin by reviewing the theoretical literature, a great deal of which is concerned with the effects of unstable agricultural prices on the welfare of producers, consumers, and agricultural households. We then discuss the empirical literature on the effects of price risk on economic agents. We emphasize policy responses to agricultural price risk throughout, discussing price stabilization policies from both theoretical and empirical perspectives. Perhaps most importantly, we provide several suggestions for future research in the area of price risk given increasing risk on world agricultural markets due to both policy uncertainty and climate change.
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Abdassalam, Ali, Ali Mahmoud, Ahmed Abd, and Mohamoud Ali. "Conceptual framework of agricultural innovation policy in African countries." Ekonomija: teorija i praksa 13, no. 2 (2020): 55–74. http://dx.doi.org/10.5937/etp2002055m.

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The aim of the paper is to present a conceptual framework from which to develop an appropriate innovation policy in African countries. Particular emphasis is placed on agricultural innovation, their role in stimulating agribusiness and the overall development of the African continent. Increasing food production and bioenergy, improving agricultural economics, African farmers' incomes, reducing poverty and adapting to climate change are challenges that can be addressed or mitigated by innovations in the agricultural sector. Africa's agriculture is a highly unproductive sector as a result of lack of appropriate innovative technologies, credit, infrastructure, lack of knowledge, information and skills. Agricultural innovations in African countries relate to the invention of insecticides, resistant varieties, fertilizers, irrigation pumps, genetic programs, sustainable agricultural practices, etc. Across Africa, farmers are embracing "climate-smart" innovations. An example of the response to climate change is the raising of 200 million new trees. African countries need to improve educational system performance, science and technology, institutions, increase financial and human investment to build local technology capabilities and learn from the experiences of other innovative regions. Although most African countries have made significant progress in terms of agricultural innovation, the results are still not quite satisfactory.
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45

Keane, Michael, and Timothy Neal. "Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield." Econometrics Journal 23, no. 3 (May 30, 2020): S59—S80. http://dx.doi.org/10.1093/ectj/utaa012.

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Summary Predicting the impact of climate change on crop yield is difficult, in part because the production function mapping weather to yield is high dimensional and nonlinear. We compare three approaches to predicting yields: (a) deep neural networks (DNNs), (b) traditional panel-data models, and (c) a new panel-data model that allows for unit and time fixed effects in both intercepts and slopes in the agricultural production function—made feasible by a new estimator called Mean Observation OLS (MO-OLS). Using U.S. county-level corn-yield data from 1950 to 2015, we show that both DNNs and MO-OLS models outperform traditional panel-data models for predicting yield, both in-sample and in a Monte Carlo cross-validation exercise. However, the MO-OLS model substantially outperforms both DNNs and traditional panel-data models in forecasting yield in a 2006–2015 holdout sample. We compare the predictions of all these models for climate change impacts on yields from 2016 to 2100.
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Keane, Michael, and Timothy Neal. "Climate change and U.S. agriculture: Accounting for multidimensional slope heterogeneity in panel data." Quantitative Economics 11, no. 4 (2020): 1391–429. http://dx.doi.org/10.3982/qe1319.

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We study potential impacts of future climate change on U.S. agricultural productivity using county‐level yield and weather data from 1950 to 2015. To account for adaptation of production to different weather conditions, it is crucial to allow for both spatial and temporal variation in the production process mapping weather to crop yields. We present a new panel data estimation technique, called mean observation OLS (MO‐OLS) that allows for spatial and temporal heterogeneity in all regression parameters (intercepts and slopes). Both forms of heterogeneity are important: We find strong evidence that production function parameters adapt to local climate, and also that sensitivity of yield to high temperature declined from 1950–89. We use our estimates to project corn yields to 2100 using 19 climate models and three greenhouse gas emission scenarios. We predict unmitigated climate change will greatly reduce yield. Our mean prediction (over climate models) is that adaptation alone can mitigate 36% of the damage, while emissions reductions consistent with the Paris targets would mitigate 76%.
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47

Nong, Ha Thi Thuy, Christopher Gan, and Baiding Hu. "Climate change vulnerability and adaptation in Vietnam from a gender perspective: a case study of Northern province of Vietnam." International Journal of Social Economics 47, no. 8 (July 25, 2020): 953–72. http://dx.doi.org/10.1108/ijse-09-2019-0534.

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PurposeThis study analyses climate change vulnerability and adaptation in a northern province in Vietnam from the gender perspective.Design/methodology/approachA survey questionnaire was used to collect data for the study. The Livelihood Vulnerability Index (LVI) was calculated for 134 female and 239 male-headed households. Descriptive statistics were synthesized to investigate climate change adaptation from the gender perspective.FindingsThe results show that the LVI of female-headed households is higher than male-headed households, but the variation is negligible. In addition, female and male farmers in the study area use different methods to adapt to climate change. Female farmers have critically contributed to the family workforce and climate change adaptation. Nevertheless, female farmers have less accessibility to agricultural services such as training and credit.Research limitations/implicationsThe study suggests that gendered interventions for improvement of livelihood to adapt to climate change should be developed for each aspect of the livelihood. Furthermore, enhancement of services for women and recognition of women's roles in responding to climate change would contribute to more active adaptation to climate change.Originality/valueStudies on climate change from the gender perspective in Vietnam have been conducted on a limited scale. Particularly, there are very limited studies on climate change in association with gender issue in North Vietnam. Thus, this study will provide more insights into the gender dimension of climate change vulnerability and adaptation so that gender-based adaptation strategies can be developed.
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48

Storchmann, Karl. "Wine Economics." Journal of Wine Economics 7, no. 1 (May 2012): 1–33. http://dx.doi.org/10.1017/jwe.2012.8.

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AbstractFine wine has a few characteristics that differentiate it from other agricultural commodities and beverages, rendering it an interesting topic for economists. Fine wine can regularly fetch bottle prices that exceed several thousand dollars. It can be stored a long time and can increase in value with age. Fine-wine quality and prices are extraordinarily sensitive to fluctuations in the weather the year in which the grapes were grown. Wine is an experience good, that is, its quality cannot be ascertained before consumption. As a result, consumers often rely on “expert opinion” regarding quality and maturation prospects. This article describes the emergence and the unparalleled rise of wine economics from the 1980s to the present and sheds light on its three main topics: finance, climate change, and the role of expert opinion. (JEL Classification: Q1, G11, Q54, L15)
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49

Carletto, Calogero. "Better data, higher impact: improving agricultural data systems for societal change." European Review of Agricultural Economics 48, no. 4 (July 6, 2021): 719–40. http://dx.doi.org/10.1093/erae/jbab030.

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Abstract The agricultural sector is undergoing a period of rapid transformation, driven by the powerful and interconnected impacts of climate change, demographic transitions and uneven economic growth around the world. For governments and the international community to navigate this period of upheaval to protect vulnerable populations and ensure positive societal change will require a similar degree of transformation within agricultural data systems. While technological innovation has resulted in substantive improvements in the availability, timeliness and overall quality of agricultural data, many technical and institutional challenges remain. This paper reviews recent developments in the agricultural data landscape, highlights existing constraints to further progress and argues for agricultural economists to take responsibility for building agricultural data systems equipped to respond to the diverse needs of a changing world.
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50

Kaminski, Jonathan, Iddo Kan, and Aliza Fleischer. "A Structural Land‐Use Analysis of Agricultural Adaptation to Climate Change: A Proactive Approach." American Journal of Agricultural Economics 95, no. 1 (October 18, 2012): 70–93. http://dx.doi.org/10.1093/ajae/aas075.

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