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Digital Technology and Green Development in Manufacturing: Evidence from China and 20 Other Asian Countries

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  • Lin Zhu

    (School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou 310023, China
    International Business School, Zhejiang Yuexiu University, Shaoxing 312069, China)

  • Xiaoming Li

    (International Business School, Zhejiang Yuexiu University, Shaoxing 312069, China)

  • Yao Huang

    (International Business School, Zhejiang Yuexiu University, Shaoxing 312069, China)

  • Fangyuan Liu

    (Business School, UCSI University, Kuala Lumpur 56000, Malaysia)

  • Chengji Yang

    (School of Public Policy and Urban Affairs, Northeastern University, Boston, MA 02115, USA)

  • Dongyang Li

    (School of Sociology and Population Studies, Beijing 100872, China)

  • Hongpeng Bai

    (College of Intelligence and Computing, Tianjin University, Tianjin 300072, China)

Abstract

The global interest in environmental protection and sustainable development has grown steadily in recent years, sparking widespread concern about green development in the manufacturing industry among governments, enterprises, and scholars around the world. Despite this heightened interest, research on the influence of the digital economy on the manufacturing industry’s green development remains scarce. This article analyzes the impact of the digital economy on the green development of the manufacturing industry and examines the role of human capital and trade competitiveness in this context. Using a two-way fixed-effects model of panel data analysis, we investigated the GTFP (Green Total Factor Productivity) of the Chinese manufacturing industry, as well as that of the overall industry and 20 other Asian countries along the “Belt and Road”. Our findings indicate a positive association between the digital economy and both the overall GTFP and the manufacturing GTFP in China. The countries situated along the Belt and Road experience a U-shaped trend in their GTFP due to the impact of the digital economy. The digital economy displays a delayed impact, and its eco-friendly value is realized, to different extents, after two sequential periods. In addition, human capital and trade competitiveness are threshold variables in the relationship between the digital economy and the green development of the manufacturing industry. When human capital exceeds a certain threshold and trade competitiveness exceeds a certain threshold, the digital economy has a positive effect on GTFP. This study offers unique insights into the impact of the digital economy on the green development of the manufacturing industry. By addressing this research gap, this study gives policymakers the ability to leverage these findings to promote sustainable practices across the industry. Ultimately, the valuable insights provided by this study may contribute to the ongoing efforts to advance the green development of the manufacturing industry.

Suggested Citation

  • Lin Zhu & Xiaoming Li & Yao Huang & Fangyuan Liu & Chengji Yang & Dongyang Li & Hongpeng Bai, 2023. "Digital Technology and Green Development in Manufacturing: Evidence from China and 20 Other Asian Countries," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12841-:d:1224561
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    References listed on IDEAS

    as
    1. Zihanxin Li & Nuoyan Li & Huwei Wen, 2021. "Digital Economy and Environmental Quality: Evidence from 217 Cities in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    2. 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.
    3. Haoguang Liang & Yaojun Zhang, 2019. "The Theoretical System of Belt and Road Initiative," Springer Books, Springer, number 978-981-13-7701-3, December.
    4. Mingliang Zhao & Fangyi Liu & Wei Sun & Xin Tao, 2020. "The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    5. A. G. Boev, 2020. "The contents and peculiarities of the process of institutional transformation of industrial complexes in a digital economy," Russian Journal of Industrial Economics, MISIS, vol. 13(1).
    6. 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.
    7. Gruber, Harald, 2019. "Proposals for a digital industrial policy for Europe," Telecommunications Policy, Elsevier, vol. 43(2), pages 116-127.
    8. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    9. Chaofan Chen & Qingxin Lan & Ming Gao & Yawen Sun, 2018. "Green Total Factor Productivity Growth and Its Determinants in China’s Industrial Economy," Sustainability, MDPI, vol. 10(4), pages 1-25, 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. Lu, Qinli & Fang, Kai & Heijungs, Reinout & Feng, Kuishuang & Li, Jiashuo & Wen, Qi & Li, Yanmei & Huang, Xianjin, 2020. "Imbalance and drivers of carbon emissions embodied in trade along the Belt and Road Initiative," Applied Energy, Elsevier, vol. 280(C).
    12. 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.
    13. Visser, Robin, 2019. "The effect of the internet on the margins of trade," Information Economics and Policy, Elsevier, vol. 46(C), pages 41-54.
    14. Zhenlong Miao, 2021. "Digital economy value chain: concept, model structure, and mechanism," Applied Economics, Taylor & Francis Journals, vol. 53(37), pages 4342-4357, August.
    15. 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.
    16. A.L. Poltarykhin & A.E. Alekseev & V.V. Kudryavtsev & T.A. Makhanova & O.Yu. Voronkova & H.T. Aydinov, 2018. "Prospects for the Development of the Green Economy of Russian Federation," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 470-479.
    17. Xiaoli Hao & Xinhui Wang & Haitao Wu & Yu Hao, 2023. "Path to sustainable development: Does digital economy matter in manufacturing green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 360-378, February.
    18. Yongquan Zhao & Ziwei Zhang, 2023. "Distribution of Spatial and Temporal Heterogeneity of Green Total-Factor Productivity in the Chinese Manufacturing Industry, and the Influencing Factors," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    19. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:470-479 is not listed on IDEAS
    20. Muhammad Hafeez & Chunhui Yuan & Issam Khelfaoui & Almalki Sultan Musaad O & Muhammad Waqas Akbar & Liu Jie, 2019. "Evaluating the Energy Consumption Inequalities in the One Belt and One Road Region: Implications for the Environment," Energies, MDPI, vol. 12(7), pages 1-15, April.
    21. 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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