IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i6p803-d1409418.html
   My bibliography  Save this article

Evolutionary Characteristics, Regional Differences and Spatial Convergence of China’s Sustainable Agricultural Development Level

Author

Listed:
  • Honghui Zhu

    (College of Economics & Management, Shihezi University, Shihezi 832000, China)

  • Xin Zheng

    (College of Economics & Management, Shihezi University, Shihezi 832000, China)

Abstract

Sustainable agricultural development is a fundamental requirement and a crucial goal of modern agriculture. It is also a significant means of enabling farmers to increase their incomes. This paper analyses the evolutionary characteristics, regional differences and spatial convergence of the level of sustainable agricultural development using kernel density estimation, Dagum’s Gini coefficient and the spatial convergence model based on panel data from 30 provinces in China from 2012 to 2021.The results show that: (1) At the level of development, the level of sustainable agricultural development at the national level and in the three major regions has shown an upward trend with fluctuations, with the average level of development in the eastern and central parts of the country higher than the national average, and in the western part of the country lower than the national average; however, the growth rate in the western part of the country is the highest among the three major regions. (2) In terms of evolutionary characteristics, the level of sustainable agricultural development in the country and the three major regions is characterised by spatial agglomeration, with varying degrees of polarisation. (3) In terms of regional differences, the Gini coefficients for the country as a whole, within the three major regions and between regions, generally show a downward trend, with interregional differences remaining the main source of overall differences. (4) In terms of spatial convergence, there is σ-convergence and β-convergence in the level of sustainable agricultural development across the country and the three major regions, and there is a positive spatial spillover effect. The conditional β convergence results show that the eastern region has the fastest rate of convergence. The above findings provide a scientific basis for the formulation of policies related to sustainable agricultural development in China.

Suggested Citation

  • Honghui Zhu & Xin Zheng, 2024. "Evolutionary Characteristics, Regional Differences and Spatial Convergence of China’s Sustainable Agricultural Development Level," Land, MDPI, vol. 13(6), pages 1-29, June.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:803-:d:1409418
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/6/803/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/6/803/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Felbermayr, Gabriel & Gröschl, Jasmin, 2014. "Naturally negative: The growth effects of natural disasters," Journal of Development Economics, Elsevier, vol. 111(C), pages 92-106.
    2. Nancy E. Landrum & Brian Ohsowski, 2018. "Identifying Worldviews on Corporate Sustainability: A Content Analysis of Corporate Sustainability Reports," Business Strategy and the Environment, Wiley Blackwell, vol. 27(1), pages 128-151, January.
    3. Jerry L. Hatfield & John Antle & Karen A. Garrett & Roberto Cesar Izaurralde & Terry Mader & Elizabeth Marshall & Mark Nearing & G. Philip Robertson & Lewis Ziska, 2020. "Indicators of climate change in agricultural systems," Climatic Change, Springer, vol. 163(4), pages 1719-1732, December.
    4. Adesuwa Vanessa Agbedahin, 2019. "Sustainable development, Education for Sustainable Development, and the 2030 Agenda for Sustainable Development: Emergence, efficacy, eminence, and future," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(4), pages 669-680, July.
    5. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    6. József Benedek & Kinga Ivan & Ibolya Török & Arnold Temerdek & Iulian‐Horia Holobâcă, 2021. "Indicator‐based assessment of local and regional progress toward the Sustainable Development Goals (SDGs): An integrated approach from Romania," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(5), pages 860-875, September.
    Full references (including those not matched with items on IDEAS)

    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. Fábio Albuquerque & Ana Isabel Dias & Alexandra Domingos, 2023. "The Students’ Intrinsic Motivation for Learning Non-Financial Information Matters from Their Self-Identification as Global Citizens," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    2. William L. Smith & Yue Cai Hillon & Yanni Liang, 2019. "Reassessing measures of sustainable firm performance: A consultant's guide to identifying hidden costs in corporate disclosures," Business Strategy and the Environment, Wiley Blackwell, vol. 28(2), pages 353-365, February.
    3. Fitch-Fleischmann, Benjamin & Kresch, Evan Plous, 2021. "Story of the hurricane: Government, NGOs, and the difference in disaster relief targeting," Journal of Development Economics, Elsevier, vol. 152(C).
    4. Massimiliano Celli & Simona Arduini & Tommaso Beck, 2024. "Corporate Sustainability Reporting Directive (CSRD) and His Future Application Scenario for Italian SMEs," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(4), pages 1-44, July.
    5. Taryn Renatta De Mendonca & Yan Zhou, 2019. "Environmental Performance, Customer Satisfaction, and Profitability: A Study among Large U.S. Companies," Sustainability, MDPI, vol. 11(19), pages 1-15, September.
    6. Huang, Lulu & Liu, Qiannan & Tang, Yugang, 2024. "Long-term economic impact of disasters: Evidence from multiple earthquakes in China," World Development, Elsevier, vol. 174(C).
    7. Mario Morales-Parragué & Luis Araya-Castillo & Fidel Molina-Luque & Hugo Moraga-Flores, 2022. "Scientometric Analysis of Research on Corporate Social Responsibility," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    8. Erwan Gautier & Christoph Grosse Steffen & Magali Marx & Paul Vertier, 2023. "Decomposing the Inflation Response to Weather-Related Disasters," Working papers 935, Banque de France.
    9. Subhani Keerthiratne & Richard S. J. Tol, 2017. "Impact of Natural Disasters on Financial Development," Economics of Disasters and Climate Change, Springer, vol. 1(1), pages 33-54, June.
    10. Nabil Daher, 2024. "Is growth at risk from natural disasters? Evidence from quantile local projections," French Stata Users' Group Meetings 2024 12, Stata Users Group.
    11. Martin, R. & de Haas, Ralph & Muuls, Mirabelle & Schweiger, Helena, 2021. "Managerial and Financial Barriers to the Net-Zero Transition," Other publications TiSEM f0572d8a-40d7-458f-bb43-8, Tilburg University, School of Economics and Management.
    12. Beirne, John & Dafermos, Yannis & Kriwoluzky, Alexander & Renzhi, Nuobu & Volz, Ulrich & Wittich, Jana, 2022. "Natural Disasters and Inflation in the Euro Area," VfS Annual Conference 2022 (Basel): Big Data in Economics 264132, Verein für Socialpolitik / German Economic Association.
    13. Hiroki Onuma & Kong Joo Shin & Shunsuke Managi, 2021. "Short-, Medium-, and Long-Term Growth Impacts of Catastrophic and Non-catastrophic Natural Disasters," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 53-70, April.
    14. Fabian, Marius & Lessmann, Christian & Sofke, Tim, 2019. "Natural disasters and regional development – the case of earthquakes," Environment and Development Economics, Cambridge University Press, vol. 24(5), pages 479-505, October.
    15. Richard S. J. Tol, 2021. "The Economic Impact of Climate in the Long Run," World Scientific Book Chapters, in: Anil Markandya & Dirk Rübbelke (ed.), CLIMATE AND DEVELOPMENT, chapter 1, pages 3-36, World Scientific Publishing Co. Pte. Ltd..
    16. Gregory, Richard P., 2021. "Climate disasters, carbon dioxide, and financial fundamentals," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 45-58.
    17. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    18. Choudhary, M. Ali & Jain, Anil, 2022. "Finance and inequality: The distributional impacts of bank credit rationing," Journal of Financial Intermediation, Elsevier, vol. 52(C).
    19. Gökten, Meryem & Heimberger, Philipp & Lichtenberger, Andreas, 2024. "How far from full employment? The European unemployment problem revisited," European Economic Review, Elsevier, vol. 164(C).
    20. Daniela Wenzel, 2021. "Droughts and corruption," Public Choice, Springer, vol. 189(1), pages 3-29, October.

    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:jlands:v:13:y:2024:i:6:p:803-:d:1409418. 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 (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.