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Multi-Dimensional Threshold Effects of the Digital Economy on Green Economic Growth?—New Evidence from China

Author

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  • Yunyan Jiang

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

  • Feng Deng

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

Abstract

China’s economy has shifted from a high-speed growth stage to a high-quality development stage. Achieving green and sustainable growth driven by the digital economy is its most important purpose. Based on provincial panel data from 2013 to 2019, this paper examines the spatial heterogeneity of the digital economy ( Dig ) and its nonlinear impact on green economic growth ( Geg ) from multiple dimensions, using threshold models and spatiotemporal geographic weighting models. The study found that: (1) Dig can significantly promote Geg , but it presents a typical nonlinear characteristic: double thresholds with a trend of “weak negative → strong positive → weak positive”; (2) in this process, the three critical nonlinear factors are financial agglomeration ( Fina ) with a single threshold of “0.186” and the trend of “weak negative → strong positive”, the marketization level ( Mark et ) with double thresholds of “4.448 and 9.06” and the trend of “weak negative → strong positive → positive”, and green technology innovation ( Grti ) with double thresholds of “5.236 and 9.152” and the trend of “strong negative → strong positive → positive”; (3) the multi-dimensional composite threshold effect indicates that when 0.061 < Dig < 0.539, 5.236 < Grti < 9.152, 4.448 < Market < 9.06, and 0.186 < Fina , the digital economy has the greatest effect on the promotion of green economic growth; and (4) the spatial distribution regression results show that there is obvious regional heterogeneity. The paper has reference value in maximizing the promotion effect of the digital economy on green economic growth.

Suggested Citation

  • Yunyan Jiang & Feng Deng, 2022. "Multi-Dimensional Threshold Effects of the Digital Economy on Green Economic Growth?—New Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12888-:d:937481
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    as
    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. Barry B. Hughes & Mohammod T. Irfan & Jonathan D. Moyer & Dale S. Rothman & José R. Solórzano, 2012. "Exploring Future Impacts of Environmental Constraints on Human Development," Sustainability, MDPI, vol. 4(5), pages 1-37, May.
    3. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    4. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    5. Sa Xu & Cunyi Yang & Zhehao Huang & Pierre Failler, 2022. "Interaction between Digital Economy and Environmental Pollution: New Evidence from a Spatial Perspective," IJERPH, MDPI, vol. 19(9), pages 1-23, April.
    6. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    7. Zhao, Jun & Shahbaz, Muhammad & Dong, Kangyin, 2022. "How does energy poverty eradication promote green growth in China? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    9. Zerong Wang & Donghao Zhang & Jiancheng Wang, 2022. "How does digital finance impact the leverage of Chinese households?," Applied Economics Letters, Taylor & Francis Journals, vol. 29(6), pages 555-558, March.
    10. Lijiang Jia & Xiaoli Hu & Zhongwei Zhao & Bin He & Weiming Liu, 2022. "How Environmental Regulation, Digital Development and Technological Innovation Affect China’s Green Economy Performance: Evidence from Dynamic Thresholds and System GMM Panel Data Approaches," Energies, MDPI, vol. 15(3), pages 1-25, January.
    11. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    12. Yu Qian & Jun Liu & Jeffrey Yi-Lin Forrest, 2022. "Impact of financial agglomeration on regional green economic growth: evidence from China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(9), pages 1611-1636, July.
    13. Umair Akram & Melinda Timea Fülöp & Adriana Tiron-Tudor & Dan Ioan Topor & Sorinel Căpușneanu, 2021. "Impact of Digitalization on Customers’ Well-Being in the Pandemic Period: Challenges and Opportunities for the Retail Industry," IJERPH, MDPI, vol. 18(14), pages 1-21, July.
    14. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    15. Xiaoming Song & Ze Tian & Chenhui Ding & Chao Liu & Wei Wang & Ronggai Zhao & Yingchun Xing, 2022. "Digital Economy, Environmental Regulation, and Ecological Well-Being Performance: A Provincial Panel Data Analysis from China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    16. Seyfettin Erdoğan & Nigar Demircan Çakar & Recep Ulucak & Danish & Yacouba Kassouri, 2021. "The role of natural resources abundance and dependence in achieving environmental sustainability: Evidence from resource‐based economies," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 143-154, January.
    17. Weikang Shen & Weiqi Xia & Sufeng Li, 2022. "Dynamic Coupling Trajectory and Spatial-Temporal Characteristics of High-Quality Economic Development and the Digital Economy," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    18. Yi Liang & Xiaoli Hao, 2022. "Can the Agglomeration of New Energy Industries Improve Environmental Efficiency?—Evidence from China," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    19. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    20. Shuaitao Jiao & Qiubi Sun, 2021. "Digital Economic Development and Its Impact on Econimic Growth in China: Research Based on the Prespective of Sustainability," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    21. Li, Jiaman & Dong, Kangyin & Dong, Xiucheng, 2022. "Green energy as a new determinant of green growth in China: The role of green technological innovation," Energy Economics, Elsevier, vol. 114(C).
    22. Gianmarco Bressanelli & Federico Adrodegari & Marco Perona & Nicola Saccani, 2018. "Exploring How Usage-Focused Business Models Enable Circular Economy through Digital Technologies," Sustainability, MDPI, vol. 10(3), pages 1-21, February.
    23. Erdoğan, Seyfettin & Yıldırım, Durmuş Çağrı & Gedikli, Ayfer, 2020. "Natural resource abundance, financial development and economic growth: An investigation on Next-11 countries," Resources Policy, Elsevier, vol. 65(C).
    24. 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.
    25. Wang, Xinyue & Wang, Qing, 2021. "Research on the impact of green finance on the upgrading of China's regional industrial structure from the perspective of sustainable development," Resources Policy, Elsevier, vol. 74(C).
    26. 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).
    27. 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).
    28. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    29. Wang, Di & Zhou, Tao & Lan, Feng & Wang, Mengmeng, 2021. "ICT and socio-economic development: Evidence from a spatial panel data analysis in China," Telecommunications Policy, Elsevier, vol. 45(7).
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