IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15613-d1274015.html
   My bibliography  Save this article

Blessing or Curse? The Impact of Digital Technologies on Carbon Efficiency in the Agricultural Sector of China

Author

Listed:
  • Yong Zhu

    (School of Business, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Xiongying Wang

    (School of Business, Hunan Women’s University, Changsha 410004, China)

  • Gong Zheng

    (Teaching and Research Department, Shanghai National Accounting Institute, Shanghai 201702, China)

Abstract

Digital technology can be used to adjust the structure of energy production, promote the development of new agricultural production technologies, and reduce carbon emissions. With the increasing integration of digital technology in various fields, rural development is also entering a critical period of digital transformation. Therefore, this paper uses digital technology and agricultural carbon emission intensity as research objects. We use panel data from 2011 to 2019. We first measure and analyse the level of digital technology development in China. This article empirically tests the impact between digital technology and the intensity of agricultural carbon emissions. Digital technology can be used to significantly suppress the intensity of agricultural carbon emissions. The suppressive effect is more significant in the western region of China than in the central and eastern regions.

Suggested Citation

  • Yong Zhu & Xiongying Wang & Gong Zheng, 2023. "Blessing or Curse? The Impact of Digital Technologies on Carbon Efficiency in the Agricultural Sector of China," Sustainability, MDPI, vol. 15(21), pages 1-12, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15613-:d:1274015
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15613/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/21/15613/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Samuel Fankhauser, 2013. "A practitioner's guide to a low-carbon economy: lessons from the UK," Climate Policy, Taylor & Francis Journals, vol. 13(3), pages 345-362, May.
    2. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    3. Eric Williams, 2011. "Environmental effects of information and communications technologies," Nature, Nature, vol. 479(7373), pages 354-358, November.
    4. Yong Zhu & Congjia Huo, 2022. "The Impact of Agricultural Production Efficiency on Agricultural Carbon Emissions in China," Energies, MDPI, vol. 15(12), pages 1-22, June.
    5. Pamuk, Haki & Bulte, Erwin & Adekunle, Adewale A., 2014. "Do decentralized innovation systems promote agricultural technology adoption? Experimental evidence from Africa," Food Policy, Elsevier, vol. 44(C), pages 227-236.
    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. Fankhauser, Samuel & Jotzo, Frank, 2017. "Economic growth and development with low-carbon energy," LSE Research Online Documents on Economics 86850, London School of Economics and Political Science, LSE Library.
    2. Fabian Knorre & Martin Wagner & Maximilian Grupe, 2021. "Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions," Econometrics, MDPI, vol. 9(1), pages 1-35, March.
    3. Stern, David I. & Gerlagh, Reyer & Burke, Paul J., 2017. "Modeling the emissions–income relationship using long-run growth rates," Environment and Development Economics, Cambridge University Press, vol. 22(6), pages 699-724, December.
    4. Ed Burton & David John Edwards & Chris Roberts & Nicholas Chileshe & Joseph H. K. Lai, 2021. "Delineating the Implications of Dispersing Teams and Teleworking in an Agile UK Construction Sector," Sustainability, MDPI, vol. 13(17), pages 1-21, September.
    5. Karimu, Amin & Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2017. "Energy intensity and convergence in Swedish industry: A combined econometric and decomposition analysis," Energy Economics, Elsevier, vol. 62(C), pages 347-356.
    6. Yongfu Huang & Muhammad G. Quibria, 2015. "The global partnership for sustainable development," Natural Resources Forum, Blackwell Publishing, vol. 0(3-4), pages 157-174, August.
    7. Byung Moo Lee, 2017. "Energy Efficiency Gain of Cellular Base Stations with Large-Scale Antenna Systems for Green Information and Communication Technology," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    8. Thomas Bassetti & Nikos Benos & Stelios Karagiannis, 2013. "CO 2 Emissions and Income Dynamics: What Does the Global Evidence Tell Us?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 101-125, January.
    9. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    10. Zhang, Yingying & Wang, Xinpeng & Feng, Nianqiao, 2024. "The path of green finance to promote the realization of low-carbon economic transformation under the carbon peaking and carbon neutrality goals: Theoretical model and empirical analysis," International Review of Financial Analysis, Elsevier, vol. 94(C).
    11. Pindyck, Robert S., 2012. "Uncertain outcomes and climate change policy," Journal of Environmental Economics and Management, Elsevier, vol. 63(3), pages 289-303.
    12. Ofori, Isaac K. & Figari, Francesco, 2022. "Economic Globalisation and Inclusive Green Growth in Africa: Contingencies and Policy-Relevant Thresholds of Governance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Forthcomi, pages 1-1.
    13. Huang, Junbing & Wang, Yajun & Lei, Hongyan & Chen, Xiang, 2024. "A technology-driven way to carbon peak and its impact mechanism," Energy, Elsevier, vol. 297(C).
    14. Edy Yusuf Agung Gunanto & Tri Wahyu & Jaka Aminata & Banatul Hayati, 2021. "Convergence CO2 Emission in ASEAN Countries: Augmented Green Solow Model Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 572-578.
    15. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    16. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    17. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    18. Maru, Yiheyis & Sparrow, Ashley & Stirzaker, Richard & Davies, Jocelyn, 2018. "Integrated agricultural research for development (IAR4D) from a theory of change perspective," Agricultural Systems, Elsevier, vol. 165(C), pages 310-320.
    19. Esteve, Vicente & Tamarit, Cecilio, 2012. "Threshold cointegration and nonlinear adjustment between CO2 and income: The Environmental Kuznets Curve in Spain, 1857–2007," Energy Economics, Elsevier, vol. 34(6), pages 2148-2156.
    20. Pezzey, John C.V. & Burke, Paul J., 2014. "Towards a more inclusive and precautionary indicator of global sustainability," Ecological Economics, Elsevier, vol. 106(C), pages 141-154.

    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:jsusta:v:15:y:2023:i:21:p:15613-:d:1274015. 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.