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Economic growth of green agriculture and its influencing factors in china: Based on emergy theory and spatial econometric model

Author

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  • Zhaoliang Li

    (Wuhan Institute of Technology)

  • Minghao Jin

    (Wuhan Institute of Technology)

  • Jianwei Cheng

    (Wuhan Institute of Technology)

Abstract

Based on emergy theory, this paper calculates the agricultural green GDP of China and its provincial units from 2003 to 2018. Following this, the spatial distribution characteristics and influencing factors of the economic growth of green agriculture in China are studied using the spatial analysis method. The results show that: (1) Compared with the traditional GDP derived from agriculture, the per capita green agriculture GDP growth in China is relatively slow, and the proportion of green agriculture GDP to the traditional GDP from agriculture is between 85 and 91%, which shows a downward trend. (2) The economic growth of China's green agriculture manifests significant spatial agglomeration, with gradually growing effects. (3) The per capita GDP of green agriculture has not broken the overall pattern of high economic growth in China’s eastern regions and low growth in the western. According to the results, the major cause of this spatial pattern lay in the higher efficiency of agricultural production in the eastern, economically more developed areas, and the relatively less efficient mode of production in the western areas. (4) A region’s level of economic development, technological innovation, infrastructure investment and openness were found to have a positive impact on the growth of green agriculture within it. In previous research, emergy methods have not been applied to study the economic sectors in China, the largest developing country in the world, especially in the agricultural sector. Only few studies report on the analysis of spatial characteristics and factors influencing the growth of green agriculture. The agricultural green GDP was calculated based on the emergy analysis method. The temporal and spatial characteristics, as well as the driving factors of green agriculture GDP, were analyzed under the full consideration of the spatial correlation, which contributes to the theoretical explanation of spatial agglomeration of economic factors in spatial economic theory. The conclusions provide a theoretical and practical basis for accurate evaluation of the green growth of China's agricultural economy, optimization of the spatial structure of the country’s green agricultural economy and coordination of the development of green agriculture in different regions.

Suggested Citation

  • Zhaoliang Li & Minghao Jin & Jianwei Cheng, 2021. "Economic growth of green agriculture and its influencing factors in china: Based on emergy theory and spatial econometric model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15494-15512, October.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:10:d:10.1007_s10668-021-01307-1
    DOI: 10.1007/s10668-021-01307-1
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    References listed on IDEAS

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    Cited by:

    1. Zhao Liu & Lan-Ye Wei, 2022. "Effects of ODI and export trade structure on CO2 emissions in China: nonlinear relationships," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13630-13656, December.
    2. Yujie Zhang & Qingsong Wang & Shu Tian & Yue Xu & Xueliang Yuan & Qiao Ma & Haichao Ma & Shuo Yang & Yuan Xu & Chengqing Liu, 2024. "Research on the path of industrial sector's carbon peak based on the perspective of provincial differentiation: a case study from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23245-23282, September.
    3. Zhang, Pei & Hao, Dongyang, 2023. "Enterprise financial management and fossil fuel energy efficiency for green economic growth," Resources Policy, Elsevier, vol. 84(C).
    4. Yuehua Xia & Honggen Long & Zhi Li & Jiasen Wang, 2022. "Farmers’ Credit Risk Assessment Based on Sustainable Supply Chain Finance for Green Agriculture," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    5. Mingjia Chi & Qinyang Guo & Lincheng Mi & Guofeng Wang & Weiming Song, 2022. "Spatial Distribution of Agricultural Eco-Efficiency and Agriculture High-Quality Development in China," Land, MDPI, vol. 11(5), pages 1-15, May.
    6. Yuanying Chi & Yangmei Xu & Xu Wang & Feng Jin & Jialin Li, 2021. "A Win–Win Scenario for Agricultural Green Development and Farmers’ Agricultural Income: An Empirical Analysis Based on the EKC Hypothesis," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    7. Lipeng Li & Apurbo Sarkar & Xi Zhou & Xiuling Ding & Hua Li, 2022. "Influence and Action Mechanisms of Governmental Relations Embeddedness for Fostering Green Production Demonstration Household: Evidence from Shaanxi, Sichuan, and Anhui Province, China," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    8. Ruifeng Hu & Weiqiao Xu, 2022. "Exploring the Technological Changes of Green Agriculture in China: Evidence from Patent Data (1998–2021)," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    9. Feng Zhou & Chunhui Wen, 2023. "Research on the Level of Agricultural Green Development, Regional Disparities, and Dynamic Distribution Evolution in China from the Perspective of Sustainable Development," Agriculture, MDPI, vol. 13(7), pages 1-47, July.
    10. Jingpeng Chen & Desheng Zhang & Zhi Chen & Zhijian Li & Zigong Cai, 2022. "Effect of Agricultural Social Services on Green Production of Natural Rubber: Evidence from Hainan, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    11. Hua Guo & Fan Gu & Yanling Peng & Xin Deng & Lili Guo, 2022. "Does Digital Inclusive Finance Effectively Promote Agricultural Green Development?—A Case Study of China," IJERPH, MDPI, vol. 19(12), pages 1-17, June.

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