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The Forms, Channels and Conditions of Regional Agricultural Carbon Emission Reduction Interaction: A Provincial Perspective in China

Author

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  • Yanqiu He

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Hongchun Wang

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Rou Chen

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Shiqi Hou

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Dingde Xu

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

Agricultural emission reduction is a key objective associated with sustainable agricultural development and a meaningful way to slow down global warming. Based on the comprehensive estimation of agricultural carbon emissions, this study applied the traditional spatial Durbin model (SDM) to analyze the type of regional emission reduction interaction and explore whether it is a direct or an indirect interaction caused by technology spillovers. Moreover, geographic, economic, and technical weights were used to discuss the channels of emission reduction interactions. The partitioned spatial Durbin model was applied to explore the realization conditions of regional emission reduction interactions. We found that: (1) comprehensive emission reduction interactions were identified in various regions of China, including direct and indirect interactions, in which geographic and technical channels were the major pathways for direct and indirect emission reduction interactions, respectively; (2) regions with similar economic development levels are more likely to have direct interactions, whereas regions with low technical levels are more willing to follow the high-tech regions, and the benchmarking effect is noticeable; (3) emission reduction results promoted by economic cooperation may be offset by vicious economic competition between regions, and more emission reduction intervention measures should be given to regions with high economic development levels; (4) to achieve better technological cooperation, regions must have similar technology absorption capabilities and should provide full play to the driving force of technical benchmarks.

Suggested Citation

  • Yanqiu He & Hongchun Wang & Rou Chen & Shiqi Hou & Dingde Xu, 2022. "The Forms, Channels and Conditions of Regional Agricultural Carbon Emission Reduction Interaction: A Provincial Perspective in China," IJERPH, MDPI, vol. 19(17), pages 1-22, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10905-:d:903903
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    1. Pellerin, Sylvain & Bamière, Laure & Angers, Denis & Béline, Fabrice & Benoit, Marc & Butault, Jean-Pierre & Chenu, Claire & Colnenne-David, Caroline & De Cara, Stéphane & Delame, Nathalie & Doreau, M, 2017. "Identifying cost-competitive greenhouse gas mitigation potential of French agriculture," Environmental Science & Policy, Elsevier, vol. 77(C), pages 130-139.
    2. J. Paul Elhorst & Sandy Fréret, 2009. "Evidence Of Political Yardstick Competition In France Using A Two‐Regime Spatial Durbin Model With Fixed Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 931-951, December.
    3. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    4. José A. Tapia Granados & Clive L. Spash, 2019. "Policies to Reduce CO2 Emissions: Fallacies and Evidence from the United States and California," SRE-Disc sre-disc-2019_04, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    5. Hacardiaux, Thomas & Tancrez, Jean-Sebastien, 2019. "Assessing the Environmental Benefits of Horizontal Cooperation using a Location-Inventory Model," LIDAM Reprints CORE 3088, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Marbuah, George & Amuakwa-Mensah, Franklin, 2017. "Spatial analysis of emissions in Sweden," Energy Economics, Elsevier, vol. 68(C), pages 383-394.
    7. Chakrabarti, Anindya S., 2016. "Stochastic Lotka–Volterra equations: A model of lagged diffusion of technology in an interconnected world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 214-223.
    8. Yanmei Li & Xiushan Bai, 2022. "How Can China and the Belt and Road Initiative Countries Work Together Responding to Climate Change: A Perspective on Carbon Emissions and Economic Spillover Effects," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    9. Shi, Xiangyu & Xi, Tianyang, 2018. "Race to safety: Political competition, neighborhood effects, and coal mine deaths in China," Journal of Development Economics, Elsevier, vol. 131(C), pages 79-95.
    10. Fischer, Carolyn & Newell, Richard G., 2008. "Environmental and technology policies for climate mitigation," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 142-162, March.
    11. Daming You & Ke Jiang & Zhendong Li, 2018. "Optimal Coordination Strategy of Regional Vertical Emission Abatement Collaboration in a Low-Carbon Environment," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    12. Carley, Sanya, 2011. "Decarbonization of the U.S. electricity sector: Are state energy policy portfolios the solution?," Energy Economics, Elsevier, vol. 33(5), pages 1004-1023, September.
    13. Yanqiu He & Xueying Cheng & Fang Wang & Ya Cheng, 2020. "Spatial correlation of China’s agricultural greenhouse gas emissions: a technology spillover perspective," 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. 104(3), pages 2561-2590, December.
    14. Shi, Kaifang & Yu, Bailang & Zhou, Yuyu & Chen, Yun & Yang, Chengshu & Chen, Zuoqi & Wu, Jianping, 2019. "Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels," Applied Energy, Elsevier, vol. 233, pages 170-181.
    15. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    16. Zhang, Youguo, 2017. "Interregional carbon emission spillover–feedback effects in China," Energy Policy, Elsevier, vol. 100(C), pages 138-148.
    17. Jianling Jiao & Yufei Yang & Yu Bai, 2018. "The impact of inter-industry R&D technology spillover on carbon emission in China," 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. 91(3), pages 913-929, April.
    18. Xiaoliang Guan & Junbiao Zhang & Xianrong Wu & Linlin Cheng, 2018. "The Shadow Prices of Carbon Emissions in China’s Planting Industry," Sustainability, MDPI, vol. 10(3), pages 1-12, March.
    19. Yingying Zhou & Yaru Xu & Chuanzhe Liu & Zhuoqing Fang & Jiayi Guo, 2019. "Spatial Effects of Technological Progress and Financial Support on China’s Provincial Carbon Emissions," IJERPH, MDPI, vol. 16(10), pages 1-22, May.
    20. Bera, Anil K. & Yoon, Mann J., 1993. "Specification Testing with Locally Misspecified Alternatives," Econometric Theory, Cambridge University Press, vol. 9(4), pages 649-658, August.
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