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The Role of Big Data in Promoting Green Development: Based on the Quasi-Natural Experiment of the Big Data Experimental Zone

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  • Jiangying Wei

    (School of Statistics, Institute of Quantitative Economics, Huaqiao University, Xiamen 361021, China)

  • Xiuwu Zhang

    (School of Statistics, Institute of Quantitative Economics, Huaqiao University, Xiamen 361021, China)

Abstract

Against the backdrop of the pressing issue of global warming, the concept of green development, which emphasizes the rational utilization of resources and energy, has emerged as a viable model for future economic growth. Despite this, the interplay between big data technology and green development has yet to receive due consideration. This study aims to shed light on the role of big data in green development from the perspective of factor configuration distortion. To this end, a panel data analysis of 284 prefecture-level cities spanning from 2007 to 2020 was conducted, utilizing the Difference-in-Differences (DID) and Propensity Score Matching-Difference-in-Differences (PSM-DID) models to assess the impact of the establishment of the National Big Data Comprehensive Experimental Zone on green total factor productivity. The findings reveal that the establishment of the National Big Data Comprehensive Experimental Zone has a positive impact on green total factor productivity, primarily through optimizing the capital and labor allocation distortions, with the effect being more pronounced in areas with high levels of human capital, financial development, and economic activity. This research provides empirical evidence to evaluate the impact of the establishment of the National Big Data Comprehensive Experimental Zone and offers valuable policy implications for the pursuit of high-quality economic development.

Suggested Citation

  • Jiangying Wei & Xiuwu Zhang, 2023. "The Role of Big Data in Promoting Green Development: Based on the Quasi-Natural Experiment of the Big Data Experimental Zone," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4097-:d:1079823
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    1. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    2. Ghasemaghaei, Maryam & Calic, Goran, 2020. "Assessing the impact of big data on firm innovation performance: Big data is not always better data," Journal of Business Research, Elsevier, vol. 108(C), pages 147-162.
    3. Arik Levinson, 2009. "Technology, International Trade, and Pollution from US Manufacturing," American Economic Review, American Economic Association, vol. 99(5), pages 2177-2192, December.
    4. Paunov, Caroline & Rollo, Valentina, 2016. "Has the Internet Fostered Inclusive Innovation in the Developing World?," World Development, Elsevier, vol. 78(C), pages 587-609.
    5. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    6. Ayako Obashi & Fukunari Kimura, 2021. "New Developments in International Production Networks: Impact of Digital Technologies," Asian Economic Journal, East Asian Economic Association, vol. 35(2), pages 115-141, June.
    7. Virgiliu Midrigan & Daniel Yi Xu, 2014. "Finance and Misallocation: Evidence from Plant-Level Data," American Economic Review, American Economic Association, vol. 104(2), pages 422-458, February.
    8. Caragliu, Andrea & Del Bo, Chiara F., 2019. "Smart innovative cities: The impact of Smart City policies on urban innovation," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 373-383.
    9. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
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    Cited by:

    1. Guixiang Cao & Xintong Fang & Ying Chen & Jinghuai She, 2023. "Regional Big Data Application Capability and Firm Green Technology Innovation," Sustainability, MDPI, vol. 15(17), pages 1-29, August.
    2. Yali Liu & Zhi Li & Haonan Chen & Xiaoning Cui, 2024. "Impact of Big Data on Carbon Emissions: Empirical Evidence from China’s National Big Data Comprehensive Pilot Zone," Sustainability, MDPI, vol. 16(19), pages 1-23, September.
    3. Xin Tan & Jinfang Jiao & Ming Jiang & Ming Chen & Wenpeng Wang & Yijun Sun, 2024. "Digital Policy, Green Innovation, and Digital-Intelligent Transformation of Companies," Sustainability, MDPI, vol. 16(16), pages 1-23, August.

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