IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i12p7187-d837001.html
   My bibliography  Save this article

The Impact of the Digital Economy on Low-Carbon, Inclusive Growth: Promoting or Restraining

Author

Listed:
  • Xianhong Xiang

    (Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China
    These authors contributed equally to this work.)

  • Guoge Yang

    (Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China
    These authors contributed equally to this work.)

  • Hui Sun

    (Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

Abstract

Based on panel data from 30 provinces in China, this paper uses a two-way fixed effect model to empirically test the influence of regional digital economy development on the level of low-carbon, inclusive growth. The empirical study shows that: (1) The digital economy has a significant inverted U-shaped impact on China’s regional low-carbon, inclusive growth. It shows that regional digital economic development has a significant inverted U-shaped impact on low-carbon, inclusive growth (the inflection point is 0.3081), and it was found that most of the observations fall on the left side of the inverted U shape. (2) The inverted U-shaped influence has significant heterogeneity in the regional location, information degree, and factor productivity level. (3) The digital economy promotes low-carbon, inclusive growth mainly by improving the overall efficiency of source allocation, but low-carbon, inclusive growth may be curbed by distorting the allocation of capital elements. (4) Via dimensionality reduction analysis, we found that the inverted U-shaped impact of digital applications and digital finance on regional low-carbon, inclusive growth is more obvious. In addition, we also found that the inverted U-shaped impact of regional digital economic development on low-carbon ecology and social inclusiveness is more obvious. This study provides an important reference value for relevant departments to formulate low-carbon, inclusive development policies from the perspective of regional digital economic development.

Suggested Citation

  • Xianhong Xiang & Guoge Yang & Hui Sun, 2022. "The Impact of the Digital Economy on Low-Carbon, Inclusive Growth: Promoting or Restraining," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7187-:d:837001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/12/7187/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/12/7187/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Philippe Aghion & Céline Antonin & Simon Bunel, 2019. "Artificial Intelligence, Growth and Employment: The Role of Policy," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 149-164.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. Faucheux, S. & Nicolaï, I., 2011. "IT for green and green IT: A proposed typology of eco-innovation," Ecological Economics, Elsevier, vol. 70(11), pages 2020-2027, September.
    5. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    7. Qiang Han & Yuyan Wang, 2018. "Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    8. Wang, Shaojian & Zeng, Jingyuan & Liu, Xiaoping, 2019. "Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 140-150.
    9. Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi & Jamiu Adetola Odugbesan & Gbenga Daniel Akinsola & Wing-Keung Wong & Husam Rjoub, 2021. "Sustainability of Energy-Induced Growth Nexus in Brazil: Do Carbon Emissions and Urbanization Matter?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    10. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    11. Lien-Chieh Lee & Yuan Wang & Yuanyuan Yan & Jian Zuo, 2018. "Greenhouse Gas Emissions Embodied in the Chinese International Trade of Computer Products," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    12. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    13. Jiani Wu & Nguyen Khoi Tran, 2018. "Application of Blockchain Technology in Sustainable Energy Systems: An Overview," Sustainability, MDPI, vol. 10(9), pages 1-22, August.
    14. Husam Rjoub & Jamiu Adetola Odugbesan & Tomiwa Sunday Adebayo & Wing-Keung Wong, 2021. "Investigating the Causal Relationships among Carbon Emissions, Economic Growth, and Life Expectancy in Turkey: Evidence from Time and Frequency Domain Causality Techniques," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    15. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    16. Sadorsky, Perry, 2012. "Information communication technology and electricity consumption in emerging economies," Energy Policy, Elsevier, vol. 48(C), pages 130-136.
    17. Henderson, J. V., 1974. "Road congestion : A reconsideration of pricing theory," Journal of Urban Economics, Elsevier, vol. 1(3), pages 346-365, July.
    18. Soytas, Ugur & Sari, Ramazan, 2009. "Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member," Ecological Economics, Elsevier, vol. 68(6), pages 1667-1675, April.
    19. Kais Saidi & Hassen Toumi & Saida Zaidi, 2017. "Impact of Information Communication Technology and Economic Growth on the Electricity Consumption: Empirical Evidence from 67 Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 789-803, September.
    20. Patrick Schulte & Heinz Welsch & Sascha Rexhäuser, 2016. "ICT and the Demand for Energy: Evidence from OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 119-146, January.
    21. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    22. repec:hal:spmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    23. Guoge Yang & Feng Deng & Yifei Wang & Xianhong Xiang, 2022. "Digital Paradox: Platform Economy and High-Quality Economic Development—New Evidence from Provincial Panel Data in China," Sustainability, MDPI, vol. 14(4), pages 1-26, February.
    24. Rafael Ranieri & Raquel Almeida Ramos, 2013. "Inclusive Growth: Building up a Concept," Working Papers 104, International Policy Centre for Inclusive Growth.
    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. Zhenhua Xu & Fuyi Ci, 2023. "Spatial-Temporal Characteristics and Driving Factors of Coupling Coordination between the Digital Economy and Low-Carbon Development in the Yellow River Basin," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    2. Guoge Yang & Fengyi Wang & Feng Deng & Xianhong Xiang, 2023. "Impact of Digital Transformation on Enterprise Carbon Intensity: The Moderating Role of Digital Information Resources," IJERPH, MDPI, vol. 20(3), pages 1-26, January.
    3. Jie Li & Zhengchuan Sun & Jie Zhou & Yaya Sow & Xufeng Cui & Haipeng Chen & Qianling Shen, 2023. "The Impact of the Digital Economy on Carbon Emissions from Cultivated Land Use," Land, MDPI, vol. 12(3), pages 1-18, March.
    4. Decai Tang & Jiannan Li & Shaojian Qu & Valentina Boamah, 2023. "Tripartite Collaboration among Government, Digital Technology Platform, and Manufacturing Enterprises: Evolutionary Game Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.

    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. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    2. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    3. Magazzino, Cosimo & Mele, Marco & Morelli, Giovanna & Schneider, Nicolas, 2021. "The nexus between information technology and environmental pollution: Application of a new machine learning algorithm to OECD countries," Utilities Policy, Elsevier, vol. 72(C).
    4. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    5. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    6. Theile, Philipp & Farag, Markos & Kopp, Thomas, 2022. "Does information substitute or complement energy? - A mediation analysis of their relationship in European economies," VfS Annual Conference 2022 (Basel): Big Data in Economics 264123, Verein für Socialpolitik / German Economic Association.
    7. Bo Li & Jing Liu & Qian Liu & Muhammad Mohiuddin, 2022. "The Effects of Broadband Infrastructure on Carbon Emission Efficiency of Resource-Based Cities in China: A Quasi-Natural Experiment from the “Broadband China” Pilot Policy," IJERPH, MDPI, vol. 19(11), pages 1-27, May.
    8. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    9. Tilman Santarius & Johanna Pohl & Steffen Lange, 2020. "Digitalization and the Decoupling Debate: Can ICT Help to Reduce Environmental Impacts While the Economy Keeps Growing?," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    10. Guoge Yang & Feng Deng & Yifei Wang & Xianhong Xiang, 2022. "Digital Paradox: Platform Economy and High-Quality Economic Development—New Evidence from Provincial Panel Data in China," Sustainability, MDPI, vol. 14(4), pages 1-26, February.
    11. Qianqian Wan & Daqian Shi, 2022. "Smarter and Cleaner: The Digital Economy and Environmental Pollution," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(6), pages 59-85, November.
    12. Wang, Linhui & Wang, Hui & Cao, Zhanglu & He, Yongda & Dong, Zhiqing & Wang, Shixiang, 2022. "Can industrial intellectualization reduce carbon emissions? — Empirical evidence from the perspective of carbon total factor productivity in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    13. Ke-Liang Wang & Rui-Rui Zhu & Yun-He Cheng, 2022. "Does the Development of Digital Finance Contribute to Haze Pollution Control? Evidence from China," Energies, MDPI, vol. 15(7), pages 1-21, April.
    14. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    15. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    16. 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).
    17. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
    18. Najia Saqib & Ivan A. Duran & Ilhan Ozturk, 2023. "Unraveling the Interrelationship of Digitalization, Renewable Energy, and Ecological Footprints within the EKC Framework: Empirical Insights from the United States," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
    19. Lee, Chien-Chiang & Yuan, Zihao & Wang, Qiaoru, 2022. "How does information and communication technology affect energy security? International evidence," Energy Economics, Elsevier, vol. 109(C).
    20. Oseghale Baryl Ihayere & Philip Olasupo Alege & Obindah Gershon & Jeremiah Ogaga Ejemeyovwi & Praise Daramola, 2021. "Information Communication Technology Access and Use towards Energy Consumption in Selected Sub Saharan Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 471-477.

    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:14:y:2022:i:12:p:7187-:d:837001. 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.