IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03223-x.html
   My bibliography  Save this article

How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data

Author

Listed:
  • Yihui Chen

    (Fujian Agriculture and Forestry University)

  • Minjie Li

    (Fujian Jiangxia University)

Abstract

Agriculture is becoming a substantial contributor to carbon emissions in China, and the efficient reduction of agricultural carbon emissions (ACEs) has become a universal concern. Currently, the digital transformation of agriculture (DTA) provides a new way to reduce carbon emissions. However, questions regarding whether and how DTA suppresses ACEs remain the focus of both academic and practical attention; thus, they serve as the objectives of this study. Based on theoretical analyzes, the carbon emission reduction effect of DTA is empirically analyzed using panel data from 30 Chinese provinces between 2015 and 2021 with a benchmark regression model, mediating effect model and threshold effect model. The results show the following: (1) DTA significantly reduces ACEs. (2) DTA reduces ACEs through three paths: expanding the agricultural production scale, optimizing the agricultural industrial structure, and promoting agricultural technological progress. The agricultural industrial structure has the most considerable mediating effect, while the agricultural production scale expansion has the smallest effect. (3) The inhibitory effect of DTA on ACEs shows very distinct heterogeneity. DTA primarily reduces ACEs in eastern and nongrain production areas yet has an insignificant impact on other areas. In addition, the DTA has a significant inhibitory effect on ACEs from both fertilizers and diesel oil. (4) The inhibitory effect of DTA on ACEs is nonlinear rather than linear. There is a single threshold effect for the effect of DTA on ACEs, which is insignificant below the threshold and significantly negative above the threshold. Therefore, China’s central and local governments need to increase the level of DTA, encourage farmers to moderately expand the scale of their operations, emphasize the agricultural service industry, and enhance agricultural technological innovation to ultimately reduce ACEs.

Suggested Citation

  • 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.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03223-x
    DOI: 10.1057/s41599-024-03223-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03223-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-03223-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Feng, Yuan & Chen, Zhi & Nie, Changfei, 2023. "The effect of broadband infrastructure construction on urban green innovation: Evidence from a quasi-natural experiment in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 581-598.
    2. Wenxin Liu & Ruifan Xu & Yue Deng & Weinan Lu & Boyang Zhou & Minjuan Zhao, 2021. "Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China," IJERPH, MDPI, vol. 18(5), pages 1-22, February.
    3. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    4. Mahinda Senevi Gunaratne & R. B. Radin Firdaus & Shamila Indika Rathnasooriya, 2021. "Climate change and food security in Sri Lanka: towards food sovereignty," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.
    5. Mónica Grau-Sarabia & Mayo Fuster-Morell, 2021. "Gender approaches in the study of the digital economy: a systematic literature review," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
    6. Ruoxi Zhong & Qiang He & Yanbin Qi, 2022. "Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    7. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    8. Ning Xu & Desen Zhao & Wenjie Zhang & Ming Liu & He Zhang, 2022. "Does Digital Transformation Promote Agricultural Carbon Productivity in China?," Land, MDPI, vol. 11(11), pages 1-19, November.
    9. Wen Chen & Ying Wu, 2022. "Does intellectual property protection stimulate digital economy development?," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 723-730, December.
    10. Dong Xue & Tongyang Liu & Xiaomin Li & Xiaolei Zhao, 2023. "Can the Digital Economy Accelerate “Carbon Neutrality”?—An Empirical Analysis Based on Provincial Data in China," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    11. 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.
    12. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
    13. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    14. Shakila Aziz & Shahriar Ahmed Chowdhury, 2023. "Analysis of agricultural greenhouse gas emissions using the STIRPAT model: a case study of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 3945-3965, May.
    15. Chuanhe Xiong & Shuang Chen & Liting Xu, 2020. "Driving factors analysis of agricultural carbon emissions based on extended STIRPAT model of Jiangsu Province, China," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1401-1416, September.
    16. Sarah Hackfort, 2021. "Patterns of Inequalities in Digital Agriculture: A Systematic Literature Review," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    17. Bin Fan & Mingyang Li, 2022. "The Effect of Heterogeneous Environmental Regulations on Carbon Emission Efficiency of the Grain Production Industry: Evidence from China’s Inter-Provincial Panel Data," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    18. Anatoly Sidorov & Pavel Senchenko, 2020. "Regional Digital Economy: Assessment of Development Levels," Mathematics, MDPI, vol. 8(12), pages 1-23, December.
    19. Popkova, Elena G. & De Bernardi, Paola & Tyurina, Yuliya G. & Sergi, Bruno S., 2022. "A theory of digital technology advancement to address the grand challenges of sustainable development," Technology in Society, Elsevier, vol. 68(C).
    20. Feng, Suling & Zhang, Rong & Li, Guoxiang, 2022. "Environmental decentralization, digital finance and green technology innovation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 70-83.
    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. Chen, Ke & Li, Qiyuan & Shoaib, Muhammad & Ameer, Waqar & Jiang, Tao, 2024. "Does improved digital governance in government promote natural resource management? Quasi-natural experiments based on smart city pilots," Resources Policy, Elsevier, vol. 90(C).
    2. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    3. Zhu, Qing & Ma, Dan & He, Xin, 2023. "Digital transformation and firms' pollution emissions," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    4. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    5. Wen Chen & Changyi Zhu & Qi Cheung & Siying Wu & Jun Zhang & Jia Cao, 2024. "How does digitization enable green innovation? Evidence from Chinese listed companies," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 3832-3854, July.
    6. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    7. Wei Yang & Qiuxia Chen & Qiuqi Guo & Xiaoting Huang, 2022. "Towards Sustainable Development: How Digitalization, Technological Innovation, and Green Economic Development Interact with Each Other," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    8. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    9. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    10. Cai, Hechang & Wang, Zilong & Ji, Yi & Xu, Liuyang, 2024. "Digitalization and innovation: How does the digital economy drive technology transfer in China?," Economic Modelling, Elsevier, vol. 136(C).
    11. Dian, Jie & Song, Tian & Li, Shenglan, 2024. "Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation," Energy Economics, Elsevier, vol. 129(C).
    12. Xian Zhao & Yiting Dong & Xinshu Gong, 2022. "The Digital Economy and Carbon Productivity: Evidence at China’s City Level," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    13. Tang, Maogang & Liu, Yinlin & Hu, Fengxia & Wu, Baijun, 2023. "Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China," Energy Economics, Elsevier, vol. 128(C).
    14. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    15. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    16. Qiangyi Li & Jiexiao Ge & Mingyu Huang & Xiaoyu Wu & Houbao Fan, 2024. "Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China," Land, MDPI, vol. 13(7), pages 1-24, July.
    17. Kun Wang & Bing Chen & Yuhong Li, 2024. "Technological, process or managerial innovation? How does digital transformation affect green innovation in industrial enterprises?," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-32, February.
    18. Rongwu Zhang & Wenqiang Fu & Yingxu Kuang, 2022. "Can Digital Economy Promote Energy Conservation and Emission Reduction in Heavily Polluting Enterprises? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    19. Yan Yu & Wenjie Hu & Chunyu Dong & Xiao Gu & Bojan Obrenovic, 2023. "E-Commerce Development and Green Technology Innovation: Impact Mechanism and the Spatial Spillover Effect," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    20. Wang, Weilong & Wang, Jianlong & Wu, Haitao, 2024. "The impact of energy-consuming rights trading on green total factor productivity in the context of digital economy: Evidence from listed firms in China," Energy Economics, Elsevier, vol. 131(C).

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03223-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.