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Analysis on the Spatio-Temporal Evolution Characteristics of the Impact of China’s Digitalization Process on Green Total Factor Productivity

Author

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  • Junwei Zhao

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Yuxiang Zhang

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Anhang Chen

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Huiqin Zhang

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

Abstract

Green production is an inevitable choice for China’s high-quality economic development. With the rise of the digital technology revolution, China’s digital transformation may play an integral and important role in increasing green total factor productivity (GTFP). Based on the panel data of 30 Chinese provinces from 2014–2020, the impact of digitization on GTFP was explored using the model of geographically and temporally weighted regression (GTWR), and the spatial and temporal distribution characteristics and development trends of such effects were further explored. The main findings are as follows: (1) China’s digitalization level and GTFP has significant spatial autocorrelation and similar spatial distribution characteristics. (2) Digitalization has a significant positive impact on GTFP, but this impact decreases yearly, and there are noticeable regional differences. Digitalization in the eastern and central regions has a more significant impact on GTFP than in the west. (3) The region where China’s digital development has extensively promoted GTFP has shifted from China’s southern coastal region to the northwest and northeast regions. (4) The time-series fluctuations of the regression coefficients of the digitization level in each province in China also show agglomeration characteristics. That is, the regression coefficients of neighboring provinces have similar time-series fluctuations.

Suggested Citation

  • Junwei Zhao & Yuxiang Zhang & Anhang Chen & Huiqin Zhang, 2022. "Analysis on the Spatio-Temporal Evolution Characteristics of the Impact of China’s Digitalization Process on Green Total Factor Productivity," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14941-:d:971491
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    as
    1. Kong, Qunxi & Peng, Dan & Ni, Yehui & Jiang, Xinyue & Wang, Ziqi, 2021. "Trade openness and economic growth quality of China: Empirical analysis using ARDL model," Finance Research Letters, Elsevier, vol. 38(C).
    2. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    3. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    4. 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.
    5. Juan Lin & Zhou Yu & Yehua Dennis Wei & Mingfeng Wang, 2017. "Internet Access, Spillover and Regional Development in China," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    6. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    7. Teece, David J., 2018. "Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world," Research Policy, Elsevier, vol. 47(8), pages 1367-1387.
    8. Shuai Wang & Cunyi Yang & Zhenghui Li, 2021. "Spatio-Temporal Evolution Characteristics and Spatial Interaction Spillover Effects of New-Urbanization and Green Land Utilization Efficiency," Land, MDPI, vol. 10(10), pages 1-26, October.
    9. Gustavo Cattelan Nobre & Elaine Tavares, 2017. "Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 463-492, 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. Bai, Chong-En & Ma, Hong & Pan, Wenqing, 2012. "Spatial spillover and regional economic growth in China," China Economic Review, Elsevier, vol. 23(4), pages 982-990.
    12. Guangqin Li & Shiyu Lu & Shuai Shao & Lili Yang & Ke Zhang, 2021. "Do environmental regulations hamper small enterprises' market entry? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 252-266, January.
    13. Susheng Wang & Gang Chen & Xue Han, 2021. "An Analysis of the Impact of the Emissions Trading System on the Green Total Factor Productivity Based on the Spatial Difference-in-Differences Approach: The Case of China," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    14. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    15. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity？——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    16. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    17. Peng, Jiaying & Xie, Rui & Ma, Chunbo & Fu, Yang, 2021. "Market-based environmental regulation and total factor productivity: Evidence from Chinese enterprises," Economic Modelling, Elsevier, vol. 95(C), pages 394-407.
    18. 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.
    19. Rui Xie & Siling Yao & Feng Han & Jiayu Fang, 2019. "Land Finance, Producer Services Agglomeration, and Green Total Factor Productivity," International Regional Science Review, , vol. 42(5-6), pages 550-579, September.
    20. Si Luo & Miaochao Chen, 2022. "Digital Finance Development and the Digital Transformation of Enterprises: Based on the Perspective of Financing Constraint and Innovation Drive," Journal of Mathematics, Hindawi, vol. 2022, pages 1-10, March.
    21. Yaya Su & Zhenghui Li & Cunyi Yang, 2021. "Spatial Interaction Spillover Effects between Digital Financial Technology and Urban Ecological Efficiency in China: An Empirical Study Based on Spatial Simultaneous Equations," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    22. Peter Jones & Martin Wynn, 2021. "The Leading Digital Technology Companies and Their Approach to Sustainable Development," Sustainability, MDPI, vol. 13(12), pages 1-12, June.
    23. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    24. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    25. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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    2. Chunhua Luo & Dianlong Wei & Wunhong Su & Jinjing Lu, 2023. "Association between Regional Digitalization and High-Quality Economic Development," Sustainability, MDPI, vol. 15(3), pages 1-19, January.

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