IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i10p2016-d1261947.html

Analysis of Measurement, Regional Differences, Convergence and Dynamic Evolutionary Trends of the Green Production Level in Chinese Agriculture

Author

Listed:
  • Jiale Yan

    (Economics Department, Irvine Valley College, Irvine, CA 92618, USA)

  • Zhengyuan Tang

    (School of Economics and Management, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Yinuo Guan

    (School of Media and Design, Beijing Technology and Business University, Beijing 102488, China)

  • Mingjian Xie

    (School of Business, Macau University of Science and Technology, Macau 999078, China)

  • Yongjian Huang

    (School of Finance, Central University of Finance and Economics, Beijing 102206, China)

Abstract

The development of green agriculture is conducive to accelerating the agricultural modernization process, making a significance for the sustainable development of agriculture and the environment in China. This paper constructs a comprehensive evaluation model by selecting 17 representative indicators from the perspective of sustainability. Then, this paper uses the entropy value method to measure the level of green agricultural production in 31 provinces from 2011 to 2021. We use Dagum’s Gini coefficient and decomposition method, the kernel density estimation method and spatial Markov chain analysis method to explore the main sources of spatial differences and dynamic evolution trends. The results show that: (1) The overall level of green production in Chinese agriculture is low, and the level in the central region is higher than that in eastern and western regions; (2) There are significant regional differences in the level of green production in China’s agriculture, and this is likely to widen. The interaction of inter- and intra-regional differences is the main reason for overall differences; (3) The trend of polarization in the level of green agricultural production is more obvious in the eastern part of China, while it is weaker in central and western regions; (4) There is a spatial spillover effect in the dynamic evolution of China’s agricultural green production level. And the longer the overall time, the more obvious the spillover effect is. This paper analyzes the past development of green agriculture in China, makes predictions and provides constructive suggestions for the improvement and development of green agricultural production in China in the future.

Suggested Citation

  • Jiale Yan & Zhengyuan Tang & Yinuo Guan & Mingjian Xie & Yongjian Huang, 2023. "Analysis of Measurement, Regional Differences, Convergence and Dynamic Evolutionary Trends of the Green Production Level in Chinese Agriculture," Agriculture, MDPI, vol. 13(10), pages 1-18, October.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:2016-:d:1261947
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/10/2016/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/10/2016/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiuliang Xu & Zhihua Zhang & Xian Zhang & Muhammad Ishfaq & Jiahui Zhong & Wei Li & Fusuo Zhang & Xuexian Li, 2020. "Green Food Development in China: Experiences and Challenges," Agriculture, MDPI, vol. 10(12), pages 1-15, December.
    2. Hongpeng Guo & Xin Yi & Chulin Pan & Baiming Yang & Yin Li, 2021. "Analysis on the Temporal and Spatial Features of the Coupling and Coordination of Industrialization and Agricultural Green Development in China during 1990–2019," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    3. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    4. Shuxing Xiao & Zuxin He & Weikun Zhang & Xiaoming Qin, 2022. "The Agricultural Green Production following the Technological Progress: Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    5. Puneet Vatsa & Junpeng Li & Phong Quoc Luu & Julio Cesar Botero‐R, 2023. "Internet use and consumption diversity: Evidence from rural China," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1287-1308, August.
    6. 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.
    7. Nanak Kakwani & Xiaobing Wang & Ning Xue & Peng Zhan, 2022. "Growth and Common Prosperity in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(1), pages 28-57, January.
    8. Volkov, Artiom & Morkunas, Mangirdas & Balezentis, Tomas & Streimikiene, Dalia, 2022. "Are agricultural sustainability and resilience complementary notions? Evidence from the North European agriculture," Land Use Policy, Elsevier, vol. 112(C).
    9. Ray, Subhash C. & Ghose, Arpita, 2014. "Production efficiency in Indian agriculture: An assessment of the post green revolution years," Omega, Elsevier, vol. 44(C), pages 58-69.
    10. Du, Yuqiu & Wang, Wendi, 2023. "The role of green financing, agriculture development, geopolitical risk, and natural resource on environmental pollution in China," Resources Policy, Elsevier, vol. 82(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guo, Yani & Yan, Jiale & Zhuang, Peifen, 2025. "How does data sharing affect the sustainable development of agribusiness? Evidence from public data openness," International Review of Economics & Finance, Elsevier, vol. 97(C).
    2. Wanxiang Nong & Jun Wen & Jingyue He, 2024. "Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China," Agriculture, MDPI, vol. 14(6), pages 1-25, May.
    3. Silin Chen & Xiangyu Guo, 2024. "Analysis of the Club Convergence and Driving Factors of China’s Green Agricultural Development Levels," Agriculture, MDPI, vol. 14(4), pages 1-16, March.
    4. Yan, Jiale & Işık, Cem & Gu, Xiao, 2024. "The nexus between natural resource development, trade policy uncertainty, financial technology and poverty in China: Contributing to the realization of SDG 1," Resources Policy, Elsevier, vol. 95(C).
    5. Zhiyuan Ma & Jun Wen & Yanqi Huang & Peifen Zhuang, 2025. "Analyzing Spatiotemporal Variations and Influencing Factors in Low-Carbon Green Agriculture Development: Empirical Evidence from 30 Chinese Districts," Agriculture, MDPI, vol. 15(17), pages 1-36, August.
    6. Fanghui Pan & Haonan Deng & Miao Chen & Lijuan Zhao & Wei Qian & Xiangrong Wan, 2024. "Spatial–Temporal Evolution and Driving Factors of Agricultural Green Development in China: Evidence from Panel Quantile Approaches," Sustainability, MDPI, vol. 16(15), pages 1-18, July.
    7. Bingfei Bao & Zhikun Li & Dandan Zhao & Yinli Gui, 2026. "Study on the evolutionary characteristics of coupling and coordination between new urbanization and green agricultural development and its dynamic factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(2), pages 4891-4923, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fanghui Pan & Haonan Deng & Miao Chen & Lijuan Zhao & Wei Qian & Xiangrong Wan, 2024. "Spatial–Temporal Evolution and Driving Factors of Agricultural Green Development in China: Evidence from Panel Quantile Approaches," Sustainability, MDPI, vol. 16(15), pages 1-18, July.
    2. Zhang, Jinhua & Yu, Jiaqi & Ma, Shixuan & Li, Jun & Zhu, Zhe, 2025. "Green finance and agricultural climate resilience: Evidence from China," Research in International Business and Finance, Elsevier, vol. 78(C).
    3. Hubang Wang & Yuyang Mao & Mingzhang Zhou & Xueyang Li, 2025. "Farmers’ Digital Literacy and Its Impact on Agricultural Green Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 17(20), pages 1-26, October.
    4. Hui Yang & Jingye Li & Stefan Sieber & Kaisheng Long, 2025. "Does Digital Village Construction Affect the Sustainable Intensification of Cultivated Land Use? Evidence from Rural China," Agriculture, MDPI, vol. 15(9), pages 1-24, April.
    5. Fields, Gary S. & Meng, Xin & Song, Yang, 2022. "Earnings mobility during labor market reforms in urban China," China Economic Review, Elsevier, vol. 75(C).
    6. Thanh‐Tung Nguyen & Trung Thanh Nguyen & Ulrike Grote, 2023. "Internet use and agricultural productivity in rural Vietnam," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1309-1326, August.
    7. Lei Zhang & Lili Xu & Mingzi Gao & Mingdong Zhou, 2024. "Can Agricultural Credit Promote the Green Transformation of China’s Agriculture?," Sustainability, MDPI, vol. 16(24), pages 1-14, December.
    8. Martín-García, Jaime & Gómez-Limón, José A. & Arriaza, Manuel, 2024. "Conversion to organic farming: Does it change the economic and environmental performance of fruit farms?," Ecological Economics, Elsevier, vol. 220(C).
    9. Viet Ha Trinh Thi & Wenqi Zhou, 2024. "A Systematic Analysis of the Development of Agricultural Modernization and Its Effect on Crop Production in Northeastern China," Sustainability, MDPI, vol. 16(12), pages 1-12, June.
    10. Long Qian & Yunjie Zhou & Ying Sun, 2023. "Regional Differences, Distribution Dynamics, and Convergence of the Green Total Factor Productivity of China’s Cities under the Dual Carbon Targets," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    11. Mengjie Tian & Mingyong Hong & Ji Wang, 2023. "Land resources, market-oriented reform and high-quality agricultural development," Economic Change and Restructuring, Springer, vol. 56(6), pages 4165-4197, December.
    12. Gil, Guilherme Dôco Roberti & Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & Mayrink, Vinícius Diniz, 2017. "Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies," Energy Economics, Elsevier, vol. 64(C), pages 373-383.
    13. Yang, Changjin & Qi, Huarui & Jia, Lijun & Wang, Yanjiao & Huang, Dan, 2024. "Impact of digital technologies and financial development on green growth: Role of mineral resources, institutional quality, and human development in South Asia," Resources Policy, Elsevier, vol. 90(C).
    14. Yaoyao Wang & Yuanpei Kuang, 2023. "Evaluation, Regional Disparities and Driving Mechanisms of High-Quality Agricultural Development in China," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    15. Wang, Zehui & Xie, Jianhui, 2025. "Water constraint mitigation and agricultural productivity: Evidence from the China’s South-to-North Water Diversion Project," Agricultural Water Management, Elsevier, vol. 314(C).
    16. Zhao, Mengxue & Chan, Hon S., 2024. "Balancing through agglomeration: A third path to sustainable development between common prosperity and carbon neutrality in China," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    17. Yujian Jin & Lihong Yu & Yan Wang, 2022. "Green Total Factor Productivity and Its Saving Effect on the Green Factor in China’s Strategic Minerals Industry from 1998–2017," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    18. Liu, Jian & Ren, Yanjun & Hong, Yu & Glauben, Thomas & Li, Qiang, 2025. "Does Internet use help to achieve sustainable food consumption? Evidence from rural China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9, pages 1-10.
    19. Zhenhua Hu & Gaohui Song & Ziyue Hu & Bo Zhang & Ting Lin, 2023. "How to promote the balanced development of urban and rural China? Evidences from reallocating idle rural residential land of Zhejiang province, China," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-15, June.
    20. Sha Liu & Yiting Zhang & Junping Wang & Danlei Feng, 2025. "Internet usage, farmer entrepreneurship, and common prosperity: evidence from a large micro-data in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:2016-:d:1261947. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.