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Climate Change, Biased Technological Advances and Agricultural TFP: Empirical Evidence from China

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  • Ying Cao

    (School of Economics, Lanzhou University, Lanzhou 730000, China
    Research Centre for Silk Road Economic Belt Construction, Lanzhou University, Lanzhou 730000, China)

  • Zhixiong Fan

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Weiqiang Chen

    (School of International Economics and Trade, Lanzhou University of Finance and Economics, Lanzhou 730000, China)

  • Zhijian Cao

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Anyin Jiang

    (School of Economics, Lanzhou University, Lanzhou 730000, China
    Research Centre for Silk Road Economic Belt Construction, Lanzhou University, Lanzhou 730000, China)

Abstract

The impact of climate change on agricultural quality development under the constraint of China’s “Double Carbon” target has been widely discussed by policy practitioners and academic theorists. This paper attempts to deconstruct the logic of how climate change affects agricultural total factor productivity (TFP) in three dimensions—the structure of agricultural input factors, the change in the cropping system, and the stability of crop supply. This paper also reveals the mechanism through which biased technological progress increases agricultural TFP by weakening the magnitude of climate change and empirically tests it by using China’s provincial-level data from 2000 to 2021. This study showed that average annual temperature and annual precipitation had significant negative effects on agricultural TFP, that the number of sunshine hours had a significant positive effect on agricultural TFP, and that obvious regional differences existed in the effect of climate change on agricultural TFP. Further mechanism tests revealed that biased technological progress positively moderated the effect of climate change on agricultural TFP. Based on these findings, the appropriate countermeasures for improving climate early warning mechanisms, promoting the progress of appropriate technology, and fostering new agricultural management bodies.

Suggested Citation

  • Ying Cao & Zhixiong Fan & Weiqiang Chen & Zhijian Cao & Anyin Jiang, 2024. "Climate Change, Biased Technological Advances and Agricultural TFP: Empirical Evidence from China," Agriculture, MDPI, vol. 14(8), pages 1-19, July.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1263-:d:1447127
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    1. Hailemariam Teklewold, 2021. "How effective is Ethiopia’s agricultural growth program at improving the total factor productivity of smallholder farmers?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 895-912, August.
    2. Tianqi Wang & Lijun Huang, 2018. "An Empirical Study on the Relationship between Agricultural Science and Technology Input and Agricultural Economic Growth Based on E-Commerce Model," Sustainability, MDPI, vol. 10(12), pages 1-12, November.
    3. Pallavi Rajkhowa & Heike Baumüller, 2024. "Assessing the potential of ICT to increase land and labour productivity in agriculture: Global and regional perspectives," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 477-503, June.
    4. Teodoro Semeraro & Aurelia Scarano & Angelo Leggieri & Antonio Calisi & Monica De Caroli, 2023. "Impact of Climate Change on Agroecosystems and Potential Adaptation Strategies," Land, MDPI, vol. 12(6), pages 1-21, May.
    5. Allen M Featherstone, 2018. "The Farm Economy: Future Research and Education Priorities," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(1), pages 136-154.
    6. Anubhab Pattanayak & K. S. Kavi Kumar & Lavanya R. Anneboina, 2021. "Distributional impacts of climate change on agricultural total factor productivity in India," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 26(2), pages 381-401, April.
    7. Ralph W. Cummings, 2019. "R.S. Paroda: Reorienting Indian agriculture: challenges and opportunities," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(4), pages 985-986, August.
    8. Wallace E. Huffman & Robert E. Evenson, 2006. "Do Formula or Competitive Grant Funds Have Greater Impacts on State Agricultural Productivity?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 783-798.
    9. Nicholas Rada & David Schimmelpfennig, 2018. "Evaluating research and education performance in Indian agricultural development," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 395-406, May.
    10. Siva K. Balasundram & Redmond R. Shamshiri & Shankarappa Sridhara & Nastaran Rizan, 2023. "The Role of Digital Agriculture in Mitigating Climate Change and Ensuring Food Security: An Overview," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    11. Colin Carter & Xiaomeng Cui & Dalia Ghanem & Pierre Mérel, 2018. "Identifying the Economic Impacts of Climate Change on Agriculture," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 361-380, October.
    12. Kumar, Naveen & Maiti, Dibyendu, 2024. "Long-run macroeconomic impact of climate change on total factor productivity — Evidence from emerging economies," Structural Change and Economic Dynamics, Elsevier, vol. 68(C), pages 204-223.
    13. Maulik Jagnani & Christopher B Barrett & Yanyan Liu & Liangzhi You, 2021. "Within-Season Producer Response to Warmer Temperatures: Defensive Investments by Kenyan Farmers [Sequential decision making in production models]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 392-419.
    14. Xavier Villavicencio & Bruce McCarl & Ximing Wu & Wallace Huffman, 2013. "Climate change influences on agricultural research productivity," Climatic Change, Springer, vol. 119(3), pages 815-824, August.
    15. Nihal Ahmed & Zeeshan Hamid & Farhan Mahboob & Khalil Ur Rehman & Muhammad Sibt e Ali & Piotr Senkus & Aneta Wysokińska-Senkus & Paweł Siemiński & Adam Skrzypek, 2022. "Causal Linkage among Agricultural Insurance, Air Pollution, and Agricultural Green Total Factor Productivity in United States: Pairwise Granger Causality Approach," Agriculture, MDPI, vol. 12(9), pages 1-17, August.
    16. Oussama Zouabi & Nicolas Peridy, 2015. "Direct and indirect effects of climate on agriculture: an application of a spatial panel data analysis to Tunisia," Climatic Change, Springer, vol. 133(2), pages 301-320, November.
    17. Pascual, Unai, 2005. "Land use intensification potential in slash-and-burn farming through improvements in technical efficiency," Ecological Economics, Elsevier, vol. 52(4), pages 497-511, March.
    18. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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    1. Wenqing Luo & Jianxu Liu, 2024. "From Tradition to Innovation: The Role of Culture Tourism in Transforming Chinese Agriculture," Agriculture, MDPI, vol. 14(11), pages 1-25, November.

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