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Assessing the digital economy and its carbon-mitigation effects: The case of China

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  • Wang, Jianda
  • Dong, Kangyin
  • Dong, Xiucheng
  • Taghizadeh-Hesary, Farhad
Abstract
With the proposal of China's carbon neutrality target and the accelerated process of digital development, it is necessary for China to explore the prominent role of digital economy in realizing the development of a low-carbon society. Therefore, this study constructs a comprehensive digital economy index of 30 provinces in China from 2006 to 2017, and estimates the relationship between the digital economy and CO2 emissions by using the system-generalized method of moments (SYS-GMM) technique. The results indicate that (1) the digital economy indexes of the eastern coastal provinces are higher than those in other provinces in China; (2) the digital economy negatively affects CO2 emissions; in other words, an increase in the digital economy index by 1% will cause a decrease in CO2 emissions by 0.886%; (3) in terms of sub-indicators of the digital economy, the infrastructure, innovation and application, and economic growth and jobs of the digital economy also negatively affect CO2 emissions; and (4) the digital economy indirectly reduces CO2 emissions by expanding the economic scale of tertiary industry, reducing the proportion of coal consumption, and promoting green technology innovation. The Chinese government should develop digital infrastructure, increase the scope of digital applications, and serve the low-carbon society in the future.

Suggested Citation

  • Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:eneeco:v:113:y:2022:i:c:s0140988322003486
    DOI: 10.1016/j.eneco.2022.106198
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    1. Dwivedi, Yogesh K. & Hughes, Laurie & Kar, Arpan Kumar & Baabdullah, Abdullah M. & Grover, Purva & Abbas, Roba & Andreini, Daniela & Abumoghli, Iyad & Barlette, Yves & Bunker, Deborah & Chandra Kruse,, 2022. "Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action," International Journal of Information Management, Elsevier, vol. 63(C).
    2. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How digital industries affect China's carbon emissions? Analysis of the direct and indirect structural effects," Technology in Society, Elsevier, vol. 68(C).
    3. Wang, Jinman & Wang, Ruogu & Zhu, Yucheng & Li, Jiayan, 2018. "Life cycle assessment and environmental cost accounting of coal-fired power generation in China," Energy Policy, Elsevier, vol. 115(C), pages 374-384.
    4. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    5. Wang, Wei-Zheng & Liu, Lan-Cui & Liao, Hua & Wei, Yi-Ming, 2021. "Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries," Energy Policy, Elsevier, vol. 151(C).
    6. Wu, Mingran & Zhao, Min & Wu, Zhaodan, 2019. "Evaluation of development level and economic contribution ratio of science and technology innovation in eastern China," Technology in Society, Elsevier, vol. 59(C).
    7. Muhammad Mohsin & Han Phoumin & Ik Joong Youn & Farhad Taghizadeh-Hesary, 2021. "Enhancing Energy and Environmental Efficiency in the Power Sectors: A Case Study of Singapore and China," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 23(03n04), pages 1-26, December.
    8. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    9. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    10. 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.
    11. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    12. Wei Zhang & Siqi Zhao & Xiaoyu Wan & Yuan Yao, 2021. "Study on the effect of digital economy on high-quality economic development in China," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-27, September.
    13. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    14. Martin Jetter & Gerhard Satzger & Andreas Neus, 2009. "Technological Innovation and Its Impact on Business Model, Organization and Corporate Culture – IBM’s Transformation into a Globally Integrated, Service-Oriented Enterprise," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(1), pages 37-45, February.
    15. Peizhi Zhao & Yuyan Wang, 2022. "How Does Economic Policy Uncertainty Affect Momentum Returns? Evidence from China," IJFS, MDPI, vol. 10(3), pages 1-18, July.
    16. 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).
    17. Luo, Jigang & Wang, Zhen & Wu, Maohua, 2021. "Effect of place-based policies on the digital economy: Evidence from the Smart City Program in China," Journal of Asian Economics, Elsevier, vol. 77(C).
    18. Wang, Huijuan & Ding, Lin & Guan, Rong & Xia, Yan, 2020. "Effects of advancing internet technology on Chinese employment: a spatial study of inter-industry spillovers," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    19. Narayan, Paresh Kumar & Saboori, Behnaz & Soleymani, Abdorreza, 2016. "Economic growth and carbon emissions," Economic Modelling, Elsevier, vol. 53(C), pages 388-397.
    20. Asif Razzaq & Arshian Sharif & Paiman Ahmad & Kittisak Jermsittiparsert, 2021. "Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 176-193, January.
    21. Dingbang, Cang & Cang, Chen & Qing, Chen & Lili, Sui & Caiyun, Cui, 2021. "Does new energy consumption conducive to controlling fossil energy consumption and carbon emissions?-Evidence from China," Resources Policy, Elsevier, vol. 74(C).
    22. Zheng, Jiajia & Wang, Xingwu, 2021. "Can mobile information communication technologies (ICTs) promote the development of renewables?-evidence from seven countries," Energy Policy, Elsevier, vol. 149(C).
    23. Xiaoyan Li & Jia Liu & Peijie Ni, 2021. "The Impact of the Digital Economy on CO 2 Emissions: A Theoretical and Empirical Analysis," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    24. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    25. Franck Aggeri, 1999. "Environmental policies and innovation : a knowledge-based perspective on cooperative approaches," Post-Print halshs-00644610, HAL.
    26. Shi, Huiting & Chai, Jian & Lu, Quanying & Zheng, Jiali & Wang, Shouyang, 2022. "The impact of China's low-carbon transition on economy, society and energy in 2030 based on CO2 emissions drivers," Energy, Elsevier, vol. 239(PD).
    27. Tol, Richard S.J. & Pacala, Stephen W. & Socolow, Robert H., 2009. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 425-445, May.
    28. Hazwan Haini, 2021. "Examining the impact of ICT, human capital and carbon emissions: Evidence from the ASEAN economies," International Economics, CEPII research center, issue 166, pages 116-125.
    29. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    30. Sapkota, Pratikshya & Bastola, Umesh, 2017. "Foreign direct investment, income, and environmental pollution in developing countries: Panel data analysis of Latin America," Energy Economics, Elsevier, vol. 64(C), pages 206-212.
    31. Tetsuya Tsurumi & Shunsuke Managi, 2010. "Decomposition of the environmental Kuznets curve: scale, technique, and composition effects," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 11(1), pages 19-36, February.
    32. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    33. David J. Deming & Kadeem L. Noray, 2018. "STEM Careers and the Changing Skill Requirements of Work," NBER Working Papers 25065, National Bureau of Economic Research, Inc.
    34. Danish I. Godil & Zhang Yu & Arshian Sharif & Rimsha Usman & Syed Abdul Rehman Khan, 2021. "Investigate the role of technology innovation and renewable energy in reducing transport sector CO2 emission in China: A path toward sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 694-707, July.
    35. Valadkhani, Abbas & Smyth, Russell & Nguyen, Jeremy, 2019. "Effects of primary energy consumption on CO2 emissions under optimal thresholds: Evidence from sixty countries over the last half century," Energy Economics, Elsevier, vol. 80(C), pages 680-690.
    36. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    37. Ouyang, Xiaoling & Fang, Xingming & Cao, Yan & Sun, Chuanwang, 2020. "Factors behind CO2 emission reduction in Chinese heavy industries: Do environmental regulations matter?," Energy Policy, Elsevier, vol. 145(C).
    38. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How does ICT agglomeration affect carbon emissions? The case of Yangtze River Delta urban agglomeration in China," Energy Economics, Elsevier, vol. 111(C).
    39. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    40. Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    41. Wang, Jianda & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector," Applied Energy, Elsevier, vol. 302(C).
    42. Yi Lu & Hong Song, 2020. "The effect of educational technology on college students’ labor market performance," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 1101-1126, July.
    43. Wang, Yafei & Liao, Meng & Wang, Yafei & Xu, Lixiao & Malik, Arunima, 2021. "The impact of foreign direct investment on China's carbon emissions through energy intensity and emissions trading system," Energy Economics, Elsevier, vol. 97(C).
    44. Ndubuisi, Gideon & Otioma, Chuks & Tetteh, Godsway Korku, 2021. "Digital infrastructure and employment in services: Evidence from Sub-Saharan African countries," Telecommunications Policy, Elsevier, vol. 45(8).
    45. Avom, Désiré & Nkengfack, Hilaire & Fotio, Hervé Kaffo & Totouom, Armand, 2020. "ICT and environmental quality in Sub-Saharan Africa: Effects and transmission channels," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    46. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    47. Zhao, Jun & Shahbaz, Muhammad & Dong, Xiucheng & Dong, Kangyin, 2021. "How does financial risk affect global CO2 emissions? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    48. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    49. Yue Dou & Kangyin Dong & Qingzhe Jiang & Xiucheng Dong, 2020. "How Does Trade Openness Affect Carbon Emission? New International Evidence," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 22(03n04), pages 1-31, December.
    50. Ma, Qiang & Tariq, Muhammad & Mahmood, Haider & Khan, Zeeshan, 2022. "The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development," Technology in Society, Elsevier, vol. 68(C).
    51. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    52. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuloğlu, Ayhan, 2017. "The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity," Energy, Elsevier, vol. 133(C), pages 242-256.
    53. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2021. "Does ICT change the relationship between total factor productivity and CO2 emissions? Evidence based on a nonlinear model," Energy Economics, Elsevier, vol. 101(C).
    54. Ma, Qiang & Mentel, Grzegorz & Zhao, Xin & Salahodjaev, Raufhon & Kuldasheva, Zebo, 2022. "Natural resources tax volatility and economic performance: Evaluating the role of digital economy," Resources Policy, Elsevier, vol. 75(C).
    55. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    56. Min, Shi & Liu, Min & Huang, Jikun, 2020. "Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers," Journal of Asian Economics, Elsevier, vol. 70(C).
    57. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    58. Shihong Zeng & Gen Li & Shaomin Wu & Zhanfeng Dong, 2022. "The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis," IJERPH, MDPI, vol. 19(2), pages 1-25, January.
    59. Aggeri, Franck, 1999. "Environmental policies and innovation: A knowledge-based perspective on cooperative approaches," Research Policy, Elsevier, vol. 28(7), pages 699-717, September.
    60. 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).
    61. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
    62. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    63. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    64. Moyer, Jonathan D. & Hughes, Barry B., 2012. "ICTs: Do they contribute to increased carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 79(5), pages 919-931.
    65. Jun Zhao & Qingzhe Jiang & Kangyin Dong, 2021. "Income inequality and natural gas consumption in China: Do heterogeneous and threshold effects exist?," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 630-650, December.
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    Keywords

    CO2 emissions; Digital economy; Mediating effect; Green technology innovation; China;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • L88 - Industrial Organization - - Industry Studies: Services - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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