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Adaptation of US maize to temperature variations

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Cited by:

  1. Yaqin He & Brian J. Revell & Bofeng Leng & Zhongchao Feng, 2017. "The Effects of Weather on Oilseed Rape (OSR) Yield in China: Future Implications of Climate Change," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
  2. Stephen Shaw & Dhaval Mehta & Susan Riha, 2014. "Using simple data experiments to explore the influence of non-temperature controls on maize yields in the mid-West and Great Plains," Climatic Change, Springer, vol. 122(4), pages 747-755, February.
  3. Xun Su & Minpeng Chen, 2022. "Econometric Approaches That Consider Farmers’ Adaptation in Estimating the Impacts of Climate Change on Agriculture: A Review," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
  4. Colelli, Francesco Pietro & Wing, Ian Sue & De Cian, Enrica, 2023. "Intensive and extensive margins of the peak load: Measuring adaptation with mixed frequency panel data," Energy Economics, Elsevier, vol. 126(C).
  5. Ariel Ortiz-Bobea, 2021. "Climate, Agriculture and Food," Papers 2105.12044, arXiv.org.
  6. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," Working Papers halshs-02080285, HAL.
  7. Pin Wang & Zhao Zhang & Xiao Song & Yi Chen & Xing Wei & Peijun Shi & Fulu Tao, 2014. "Temperature variations and rice yields in China: historical contributions and future trends," Climatic Change, Springer, vol. 124(4), pages 777-789, June.
  8. Pires, Marcel Viana & Cunha, Dênis Antônio da, 2014. "Climate Change and Adaptive Strategies in Brazil: the economic effects of genetic breeding," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(4), pages 1-16, December.
  9. Ivica Buhiniček & Dražen Kaučić & Zdravko Kozić & Mirko Jukić & Jerko Gunjača & Hrvoje Šarčević & Domagoj Stepinac & Domagoj Šimić, 2021. "Trends in Maize Grain Yields across Five Maturity Groups in a Long-Term Experiment with Changing Genotypes," Agriculture, MDPI, vol. 11(9), pages 1-10, September.
  10. Ashish Sharma & Subir Sen, 2022. "Droughts risk management strategies and determinants of preparedness: insights from Madhya Pradesh, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 2243-2281, November.
  11. Zhang, Jingfang & Malikov, Emir & Miao, Ruiqing & Ghosh, Prasenjit N., 2024. "Geography of Climate Change Adaptation in U.S. Agriculture: Evidence from Spatially Varying Long-Differences Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343758, Agricultural and Applied Economics Association.
  12. Jig Han Jeong & Jonathan P Resop & Nathaniel D Mueller & David H Fleisher & Kyungdahm Yun & Ethan E Butler & Dennis J Timlin & Kyo-Moon Shim & James S Gerber & Vangimalla R Reddy & Soo-Hyung Kim, 2016. "Random Forests for Global and Regional Crop Yield Predictions," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
  13. Pin Wang & Zhao Zhang & Yi Chen & Xing Wei & Boyan Feng & Fulu Tao, 2016. "How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?," Climatic Change, Springer, vol. 134(4), pages 635-650, February.
  14. Cécile Couharde & Rémi Generoso, 2023. "The financial cost of stabilizing US farm income under climate change," EconomiX Working Papers 2023-18, University of Paris Nanterre, EconomiX.
  15. Adloff, Susann, 2021. "Adapting to Climate Change: Threat Experience, Cognition and Protection Motivation," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242400, Verein für Socialpolitik / German Economic Association.
  16. Xinlei Hu & Zuliang Zhao & Lin Zhang & Zhe Liu & Shaoming Li & Xiaodong Zhang, 2019. "A High-Temperature Risk Assessment Model for Maize Based on MODIS LST," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
  17. Zhang, Jing & Chen, Yi & Zhang, Zhao, 2020. "A remote sensing-based scheme to improve regional crop model calibration at sub-model component level," Agricultural Systems, Elsevier, vol. 181(C).
  18. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2022. "Robust Dynamic Space-Time Panel Data Models Using ε-contamination: An Application to Crop Yields and Climate Change," Center for Policy Research Working Papers 254, Center for Policy Research, Maxwell School, Syracuse University.
  19. Yabin Da & Yangyang Xu & Bruce McCarl, 2022. "Effects of Surface Ozone and Climate on Historical (1980–2015) Crop Yields in the United States: Implication for Mid-21st Century Projection," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(2), pages 355-378, February.
  20. Wang, Di & Zhang, Peng & Chen, Shuai & Zhang, Ning, 2024. "Adaptation to temperature extremes in Chinese agriculture, 1981 to 2010," Journal of Development Economics, Elsevier, vol. 166(C).
  21. Michael Keane & Timothy Neal, 2020. "Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield," The Econometrics Journal, Royal Economic Society, vol. 23(3), pages 59-80.
  22. Jaqueline Oliveira & Bruno Palialol & Paula Pereda, 2021. "Do temperature shocks affect non-agriculture wages in Brazil? Evidence from individual-level panel data," Working Papers, Department of Economics 2021_13, University of São Paulo (FEA-USP).
  23. Lis-Castiblanco, Catherine & Jordi, Louis, 2024. "Adaptation to Frost and Heat Risks in French Viticulture: Are Grape Growers Dumb Farmers?," 2024 Annual Meeting, July 28-30, New Orleans, LA 343569, Agricultural and Applied Economics Association.
  24. Pires, Marcel Viana & Cunha, Dênis Antônio da, 2014. "Climate Change and Adaptive Strategies in Brazil: the economic effects of genetic breeding," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(4), January.
  25. Bhaskar Jyoti Neog, 2022. "Temperature shocks and rural labour markets: evidence from India," Climatic Change, Springer, vol. 171(1), pages 1-20, March.
  26. Balsher Singh Sidhu & Zia Mehrabi & Milind Kandlikar & Navin Ramankutty, 2022. "On the relative importance of climatic and non-climatic factors in crop yield models," Climatic Change, Springer, vol. 173(1), pages 1-21, July.
  27. Gaurav Arora & Hongli Feng & Christopher J. Anderson & David A. Hennessy, 2020. "Evidence of climate change impacts on crop comparative advantage and land use," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 221-236, March.
  28. Haidong Zhao & Lina Zhang & M. B. Kirkham & Stephen M. Welch & John W. Nielsen-Gammon & Guihua Bai & Jiebo Luo & Daniel A. Andresen & Charles W. Rice & Nenghan Wan & Romulo P. Lollato & Dianfeng Zheng, 2022. "U.S. winter wheat yield loss attributed to compound hot-dry-windy events," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  29. S. Block & B. Haile & L. You & D. Headey, 2022. "Heat shocks, maize yields, and child height in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 93-109, February.
  30. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.
  31. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
  32. Pin Wang & Zhao Zhang & Yi Chen & Xing Wei & Boyan Feng & Fulu Tao, 2016. "How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?," Climatic Change, Springer, vol. 134(4), pages 635-650, February.
  33. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
  34. Chonabayashi, Shun, 2014. "Accounting for Land Use Adaptation to Climate Change Impacts on US Agriculture," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170710, Agricultural and Applied Economics Association.
  35. Ran Wang & Yao Jiang & Peng Su & Jing’ai Wang, 2019. "Global Spatial Distributions of and Trends in Rice Exposure to High Temperature," Sustainability, MDPI, vol. 11(22), pages 1-53, November.
  36. Timothy Neal & Michael Keane, 2020. "Climate Change and U.S. Agriculture: Accounting for Multi-dimensional Slope Heterogeneity in Production Functions," Discussion Papers 2018-08a, School of Economics, The University of New South Wales.
  37. Auffhammer, Maximilian, 2022. "Climate Adaptive Response Estimation: Short and long run impacts of climate change on residential electricity and natural gas consumption," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
  38. Dylan Hogan & Wolfram Schlenker, 2024. "Non-linear relationships between daily temperature extremes and US agricultural yields uncovered by global gridded meteorological datasets," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  39. Maximilian Auffhammer, 2018. "Climate Adaptive Response Estimation: Short And Long Run Impacts Of Climate Change On Residential Electricity and Natural Gas Consumption Using Big Data," NBER Working Papers 24397, National Bureau of Economic Research, Inc.
  40. Geoffrey Heal & Jisung Park, 2016. "Editor's Choice Reflections—Temperature Stress and the Direct Impact of Climate Change: A Review of an Emerging Literature," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 347-362.
  41. Ding, Yimin & Wang, Weiguang & Zhuang, Qianlai & Luo, Yufeng, 2020. "Adaptation of paddy rice in China to climate change: The effects of shifting sowing date on yield and irrigation water requirement," Agricultural Water Management, Elsevier, vol. 228(C).
  42. Pin Wang & Tangao Hu & Feng Kong & Dengrong Zhang, 2019. "Changes in the spatial pattern of rice exposure to heat stress in China over recent decades," Climatic Change, Springer, vol. 154(1), pages 229-240, May.
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