IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0305231.html
   My bibliography  Save this article

Measurement and spatio-temporal heterogeneity analysis of coupling coordination between development of digital economy and agricultural carbon emission performance

Author

Listed:
  • Haisong Wang
  • Yuhuan Wu
  • Ning Zhu

Abstract

The new development pattern has identified two key avenues for the sustained advancement of high-quality agricultural and rural development: digitalisation and low-carbon development. The measurement of the digital economy and the agricultural carbon emission performance, and their spatial and temporal heterogeneity, is a crucial step in promoting the spatial coordination and sustainable development of digitalisation and low-carbon agriculture. This paper employs the entropy value method, SBM model, and coupling coordination degree model to investigate the coupling coordination measurement and spatial-temporal heterogeneity of the performance of the digital economy and agricultural carbon emissions. The data used are provincial panel data from 2013 to 2021. The simulation results demonstrate that, between 2013 and 2021, the digital economy of all provinces exhibited varying degrees of growth, yet the development of the digital economy between provinces exhibited a more pronounced tendency to diverge. Concurrently, the agricultural carbon emission efficiency in China exhibited a fluctuating upward trend. The development of the digital economy and the efficiency of agricultural carbon emission were found to be highly coupled. Their coupling and coordination relationship showed a downward trend followed by an upward trend. In general, it is suggested that we should increase investment in digital economy infrastructure and technology, promote digital agricultural applications, strengthen policy guidance and financial support, establish a coupling coordination mechanism and strengthen farmers’ digital literacy and environmental awareness.

Suggested Citation

  • Haisong Wang & Yuhuan Wu & Ning Zhu, 2024. "Measurement and spatio-temporal heterogeneity analysis of coupling coordination between development of digital economy and agricultural carbon emission performance," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-23, June.
    • Handle: RePEc:plo:pone00:0305231
    DOI: 10.1371/journal.pone.0305231
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0305231
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0305231&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0305231?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pengju Liu & Yitong Zhang & Shengqi Zhou, 2023. "Has Digital Financial Inclusion Narrowed the Urban–Rural Income Gap? A Study of the Spatial Influence Mechanism Based on Data from China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    2. Yi-feng Zhang & Min-xuan Ji & Xiu-zhi Zheng, 2023. "Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity," SAGE Open, , vol. 13(3), pages 21582440231, August.
    3. Jing Liu & Chin-Hong Puah & Mohammad Affendy Arip & Meng-Chang Jong, 2023. "Impacts of Digital Financial Inclusion on Urban–Rural Income Disparity: A Comparative Research of the Eastern and Western Regions in China," Economies, MDPI, vol. 11(11), pages 1-14, November.
    4. Pei Zhao & Junhua Guo & Yang Wang, 2023. "How Does the Digital Economy Affect Green Development?—Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
    5. Xingmei Jia, 2023. "Digital Economy, Factor Allocation, and Sustainable Agricultural Development: The Perspective of Labor and Capital Misallocation," Sustainability, MDPI, vol. 15(5), pages 1-19, March.
    6. Ziwei Zhang & Jianqi Song & Taiyi Shu & Tiantian Zhao, 2024. "Changes in rural financial exclusion’s supply and demand factors from the perspective of digital inclusive financial policies," Cogent Economics & Finance, Taylor & Francis Journals, vol. 12(1), pages 2305480-230, December.
    7. Lingling Zhou & Wenqi Li & Brian Sheng-Xian Teo & Siti Khalidah Md Yusoff, 2023. "The Impact of Green M&A Listed Companies’ Size on the Rural Ecological Environment—Digitalization as Moderating Effect," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    8. Zhong Wang & Peibei Shi & Shaohui Wang, 2021. "Research and Analysis on the Index System of Digital Economy in Anhui Province," Complexity, Hindawi, vol. 2021, pages 1-8, April.
    9. Mingyong Hong & Mengjie Tian & Ji Wang, 2023. "The impact of digital economy on green development of agriculture and its spatial spillover effect," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 15(4), pages 708-726, July.
    10. Ruiyuan Dong & Xiaowei Zhou, 2023. "Analysis of the Nonlinear and Spatial Spillover Effects of the Digital Economy on Carbon Emissions in the Yellow River Basin," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    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. Fusheng Li & Fuyi Ci, 2025. "Spatiotemporal Evolution and Driving Factors of Coupling Coordination Among China’s Digital Economy, Carbon Emissions Efficiency, and High-Quality Economic Development," Sustainability, MDPI, vol. 17(14), pages 1-24, July.

    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. Hu, Yuanhong & Liu, Jing & Zhang, Shuyu & Liu, Yuxin & Xu, Haixin & Liu, Pengling, 2024. "New mechanisms for increasing agricultural total factor productivity: Analysis of the regional effects of the digital economy," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 766-785.
    2. Jingyi Liang & Cuixia Qiao, 2025. "Digital Economy and High-Quality Agricultural Development: Mechanisms of Technological Innovation and Spatial Spillover Effects," Sustainability, MDPI, vol. 17(8), pages 1-28, April.
    3. Wang, Bo & Wang, Jianda, 2025. "China’s green digital era: How does digital economy enable green economic growth?," Innovation and Green Development, Elsevier, vol. 4(1).
    4. Linfang Chen & Huanyu Sun & Shenghui Zhou & Shixing Jiao & Xiao Zhao & Jianmei Cheng, 2024. "Analysis of Resource Misallocation and Total Factor Productivity Losses in Green Agriculture: A Case Study of the North China Region," Sustainability, MDPI, vol. 17(1), pages 1-25, December.
    5. Yanhua Li & Tingyu Zhang, 2025. "How Does the Digital Ecosystem Foster New Quality Productive Forces? A Dynamic QCA of Sustainable Development Pathways in China," Sustainability, MDPI, vol. 17(11), pages 1-24, May.
    6. Linlin Fu & Jiajun Min & Cheng Luo & Xiaohong Mao & Ziqi Liu, 2024. "The Impact of Digitalization on Agricultural Green Development: Evidence from China’s Provinces," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
    7. Jinqi Su & Changhong Dong & Ke Su & Lin He, 2023. "Research on the Construction of Digital Economy Index System Based on K-means-SA Algorithm," SAGE Open, , vol. 13(4), pages 21582440231, December.
    8. Qiao, Xiaole & He, Yang & Du, Qiang, 2025. "How does the urban digital economy drive labor allocation in China?—A perspective of factor mobility between digital and non-digital enterprises," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1159-1175.
    9. Guo, Jie & Chen, Leqi & Kang, Xia, 2024. "Digital inclusive finance and agricultural green development in China: A panel analysis (2013–2022)," Finance Research Letters, Elsevier, vol. 69(PA).
    10. Wenjing Zhang & Bin Sun & Zaijun Li & Suleman Sarwar, 2023. "The Impact of the Digital Economy on Industrial Eco-Efficiency in the Yangtze River Delta (YRD) Urban Agglomeration," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    11. Jing Liu & Chin-Hong Puah & Mohammad Affendy Arip & Meng-Chang Jong, 2024. "Can Digital Financial Inclusion Narrow the Urban-rural Income Disparity in Central Region of China?," Business and Economic Research, Macrothink Institute, vol. 14(3), pages 108-122, December.
    12. Youzhi Zhang & Jingyi Wang & Yinke Liu & Jing Zhao, 2024. "The Impact of the Digital Economy on Urban Ecological Resilience: Empirical Evidence from China’s Comprehensive Big Data Pilot Zone Policy," Sustainability, MDPI, vol. 16(9), pages 1-27, April.
    13. Deheng Xiao & Can Zhang & Yongjian Huang, 2024. "Digital economy policy and enterprise digital transformation: Evidence from innovation and structural effect," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2348-2359, June.
    14. Yihui Chen & Minjie Li, 2024. "How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    15. Haifeng Wang & Guangsi Li & Yunzhi Hu, 2023. "The Impact of the Digital Economy on Food System Resilience: Insights from a Study across 190 Chinese Towns," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    16. Miao, Yongming & Li, Yaokuang & Wu, Yanrui, 2024. "Digital economy and economic competitive pressure on local governments: Evidence from China," Economic Modelling, Elsevier, vol. 140(C).
    17. Liang, Shuang & Tan, Qingmei, 2024. "Can the digital economy accelerates China's export technology upgrading? Based on the perspective of export technology complexity," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    18. Yun Xia & Guozhang Xu, 2025. "Can Digital Financial Inclusion Promote the Sustainable Growth of Farmers’ Income?—An Empirical Analysis Based on Panel Data from 30 Provinces in China," Sustainability, MDPI, vol. 17(4), pages 1-22, February.
    19. Jingbo Shao, 2024. "Green industrial policy and green development of agriculture—Quasi-natural experiment based on the Yangtze River Economic Belt in China," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-23, September.
    20. Yaoyao Wang & Yifan Lei & Muhammad Haroon Shah, 2024. "Coupling and Coordination Analysis of High-Quality Agricultural Development and Rural Revitalization: Spatio-Temporal Evolution, Spatial Disparities, and Convergence," Sustainability, MDPI, vol. 16(20), pages 1-20, October.

    More about this item

    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:plo:pone00:0305231. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.