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Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries

Author

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  • Qin Shu

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
    These authors contributed equally to this work and share first authorship.)

  • Yang Su

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
    These authors contributed equally to this work and share first authorship.)

  • Hong Li

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Feng Li

    (College of Business Administration, Xinjiang University of Finance and Economics, Urumqi 830012, China)

  • Yunjie Zhao

    (College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China)

  • Chen Du

    (College of Information Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China)

Abstract

Agricultural carbon emissions are one of the major causes of global climate change. As some of the world’s largest agricultural producers and consumers, countries along the route of the Belt and Road initiative produce significant agricultural carbon emissions. An in-depth study on the efficiency of agricultural carbon emissions in countries along the route can help countries reduce environmental load while improving agricultural production, optimizing resource use, improving agricultural production efficiency, and achieving sustainable development goals, which is significant for global climate change mitigation. Based on the relational data and network perspective, this paper takes the agricultural carbon emission efficiency of 34 countries along the route of the Belt and Road Initiative from 1995 to 2020 as the research object. It integrates the social network analysis method and other methods to realize the expansion of agricultural carbon emission efficiency in the research method. The study shows that (1) agricultural carbon emission efficiency has more room for improvement and presents complex spatially linked network characteristics; (2) the spatial correlation network of agricultural carbon emission efficiency is relatively well connected, and there is a general spatial correlation and spatial spillover effect among countries; and (3) similar differences in the proportion of primary industries and differences in informatization levels help establish spatial correlations between regions and produce spatial spillover effects. It is imperative to change global economic growth, social development, and lifestyles through green development. This study is conducive to the international community’s formulation of differentiated agricultural carbon emission reduction support mechanisms for different countries to help the countries realize the transformation of agriculture and even overall economic development as soon as possible. At the same time, accelerating the pace of emission reduction and reducing the negative impact of agricultural carbon emissions are conducive to better responding to the challenges posed by global climate change.

Suggested Citation

  • Qin Shu & Yang Su & Hong Li & Feng Li & Yunjie Zhao & Chen Du, 2023. "Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries," Sustainability, MDPI, vol. 15(13), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10720-:d:1189125
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    1. Wenxin Liu & Ruifan Xu & Yue Deng & Weinan Lu & Boyang Zhou & Minjuan Zhao, 2021. "Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China," IJERPH, MDPI, vol. 18(5), pages 1-22, February.
    2. Wise, Marshall & Dooley, James & Luckow, Patrick & Calvin, Katherine & Kyle, Page, 2014. "Agriculture, land use, energy and carbon emission impacts of global biofuel mandates to mid-century," Applied Energy, Elsevier, vol. 114(C), pages 763-773.
    3. Han, Lei & Han, Botang & Shi, Xunpeng & Su, Bin & Lv, Xin & Lei, Xiao, 2018. "Energy efficiency convergence across countries in the context of China’s Belt and Road initiative," Applied Energy, Elsevier, vol. 213(C), pages 112-122.
    4. Shi, Qiaoling & Zhao, Yuhuan & Qian, Zhiling & Zheng, Lu & Wang, Song, 2022. "Global value chains participation and carbon emissions: Evidence from Belt and Road countries," Applied Energy, Elsevier, vol. 310(C).
    5. Lu, Qinli & Fang, Kai & Heijungs, Reinout & Feng, Kuishuang & Li, Jiashuo & Wen, Qi & Li, Yanmei & Huang, Xianjin, 2020. "Imbalance and drivers of carbon emissions embodied in trade along the Belt and Road Initiative," Applied Energy, Elsevier, vol. 280(C).
    6. Li, Wenqing & Qiao, Yuanbo & Li, Xiao & Wang, Yutao, 2022. "Energy consumption, pollution haven hypothesis, and Environmental Kuznets Curve: Examining the environment–economy link in belt and road initiative countries," Energy, Elsevier, vol. 239(PE).
    7. Dong, Gang & Mao, Xianqiang & Zhou, Ji & Zeng, An, 2013. "Carbon footprint accounting and dynamics and the driving forces of agricultural production in Zhejiang Province, China," Ecological Economics, Elsevier, vol. 91(C), pages 38-47.
    8. 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.
    9. Wang, Xin & Yang, Jianxun & Zhou, Qi & Liu, Miaomiao & Bi, Jun, 2022. "Mapping the exchange between embodied economic benefits and CO2 emissions among Belt and Road Initiative countries," Applied Energy, Elsevier, vol. 307(C).
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    3. Lulu Yang & Xieqihua Liu & Xiaolan Kang & Yuxia Zhu & Chaobao Wu & Bin Liu & Wen Li, 2025. "Coupling Agricultural Carbon Emission Efficiency and Economic Growth: Evidence from Jiangxi Province, China," Sustainability, MDPI, vol. 17(9), pages 1-28, May.

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