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Impact of Farmers’ Livelihoods on Agricultural Carbon Emission Efficiency Under the Background of Population Urbanization: Evidence from China

Author

Listed:
  • Ming Chang

    (Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    These authors contributed equally to this work.)

  • Xiaotong Li

    (School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China
    These authors contributed equally to this work.)

  • Fei Li

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Hesen Zhao

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

In the context of China’s population urbanization, the quality and pattern of farmers’ livelihoods are undergoing significant changes. Reducing emissions and sequestering carbon in agriculture is a crucial pathway for China to achieve its “dual carbon” goals. How to balance low-carbon agricultural development with the changing livelihood patterns of farmers has become an important issue in China’s agricultural and rural development. This study examines the impact of farmers’ livelihoods on agricultural carbon emission efficiency and explores regional disparities based on panel data from 31 provinces and municipalities in China from 2002 to 2020. The findings are as follows: (1) The quality of farmers’ livelihoods in China is conducive to an improvement in agricultural carbon emission efficiency (ACEE). (2) From a national perspective, the higher the livelihood of non-farm employment in the region, the higher the agricultural carbon emission efficiency. The livelihood of agricultural production has a significantly negative correlation with agricultural carbon emission efficiency. (3) Improvement in the quality of farmers’ livelihoods (QFL) in the eastern and western regions has a significant positive impact on the efficiency of agricultural carbon emissions, and the impact is larger in the western region, while there is no statistically significant relationship in the central region. The reason for this difference may be that the migration of agricultural labor from the western region to the eastern region and the local urban employment of eastern farmers have led to this, while the migration and local urban employment of agricultural labor in the central region is relatively limited. This paper provides policy insights into promoting both farmers’ income growth and low-carbon agricultural production in a coordinated manner.

Suggested Citation

  • Ming Chang & Xiaotong Li & Fei Li & Hesen Zhao, 2024. "Impact of Farmers’ Livelihoods on Agricultural Carbon Emission Efficiency Under the Background of Population Urbanization: Evidence from China," Agriculture, MDPI, vol. 14(12), pages 1-16, December.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:12:p:2343-:d:1548792
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    1. Junqian Wu & Xin Wen & Xiulin Qi & Shile Fang & Chenxi Xu, 2021. "More Land, Less Pollution? How Land Transfer Affects Fertilizer Application," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
    2. Anderson, Kym & Huang, Jikun & Ianchovichina, Elena, 2004. "Will China's WTO accession worsen farm household incomes?," China Economic Review, Elsevier, vol. 15(4), pages 443-456.
    3. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    4. Coondoo, Dipankor & Dinda, Soumyananda, 2008. "Carbon dioxide emission and income: A temporal analysis of cross-country distributional patterns," Ecological Economics, Elsevier, vol. 65(2), pages 375-385, April.
    5. Scruggs, Lyle A., 1998. "Political and economic inequality and the environment," Ecological Economics, Elsevier, vol. 26(3), pages 259-275, September.
    6. Yanru Pu & Yuyi Wang & Peng Wang, 2022. "Driving effects of urbanization on city-level carbon dioxide emissions: from multiple perspectives of urbanization," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 26(1), pages 108-128, January.
    7. Lei HU, 2016. "Would Urban–Rural Income Gap Affect Carbon Dioxide Emissions? Empirical Research Based on the Extended IPAT Model," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 1-13, June.
    8. Fan, Haichao & Gao, Xiang & Zhang, Lina, 2021. "How China's accession to the WTO affects global welfare?," China Economic Review, Elsevier, vol. 69(C).
    9. Guanghe Han & Jiahui Xu & Xin Zhang & Xin Pan, 2024. "Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms," Agriculture, MDPI, vol. 14(9), pages 1-22, August.
    10. Will Martin, 2001. "Implications of reform and WTO accession for China’ agricultural policies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 9(3), pages 717-742, November.
    11. Li, Xun & Hui, Eddie Chi-man & Lang, Wei & Zheng, Shali & Qin, Xiaozhen, 2020. "Transition from factor-driven to innovation-driven urbanization in China: A study of manufacturing industry automation in Dongguan City," China Economic Review, Elsevier, vol. 59(C).
    12. Yunlong Sui & Qiang Gao, 2023. "Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    13. Mary K. Mathenge & Melinda Smale & David Tschirley, 2015. "Off-farm Employment and Input Intensification among Smallholder Maize Farmers in Kenya," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(2), pages 519-536, June.
    14. Suhan Zhang & Xue Li & Zhen Nie & Yan Wang & Danni Li & Xingpeng Chen & Yiping Liu & Jiaxing Pang, 2024. "The Significance of Agricultural Modernization Development for Agricultural Carbon Emission Efficiency in China," Agriculture, MDPI, vol. 14(6), pages 1-27, June.
    15. Huidan Xu & Kun Song & Yichao Li & Martinson Ankrah Twumasi, 2023. "The Relationship between Financial Literacy and Income Structure of Rural Farm Households: Evidence from Jiangsu, China," Agriculture, MDPI, vol. 13(3), pages 1-15, March.
    16. 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.
    17. Xiuqing Zou & Tianyue Ge & Sheng Xing, 2023. "Impact of the Urban-Rural Income Disparity on Carbon Emission Efficiency Based on a Dual Perspective of Consumption Level and Structure," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
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