IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p3891-d1389492.html
   My bibliography  Save this article

Can Digital Innovation Improve Green Total Factor Productivity: Evidence from Digital Patents of China

Author

Listed:
  • Wanying Rao

    (School of Economics, Wuhan University of Technology, Wuhan 430070, China)

  • Pingfeng Liu

    (School of Economics, Wuhan University of Technology, Wuhan 430070, China)

Abstract

Amid intensifying global economic rivalries, China has pinpointed the digital economy and sustainable growth as key accelerators for societal and economic progress. Digital innovation (DI) plays a crucial role in propelling China’s economy towards sustainable growth, by serving as the technological backbone of the digital economy. This study explores how DI influences China’s GTFP through an analysis of panel data covering 30 provinces, municipalities, and autonomous regions from 2005 to 2021. The results indicate that DI greatly contributes to the enhancement of GTFP. DI can also indirectly promote GTFP by increasing the effectiveness of factor allocation efficiency including capital, labor, and technology. Heterogeneity analysis results indicate that the influence of DI on GTFP differs depending on the degree of intellectual property protection (IPP), the development of digital infrastructure construction (DIC), and the geographical location. A higher degree of IPP and developed DIC make areas better suited for the role of DI in advancing GTFP. Furthermore, in the central and eastern areas, the impact of the digital economy on the promotion of GTFP is particularly noticeable. This study offers reliable empirical evidence for the effect of DI on GTFP and contributes to China’s digital economy and sustainable development.

Suggested Citation

  • Wanying Rao & Pingfeng Liu, 2024. "Can Digital Innovation Improve Green Total Factor Productivity: Evidence from Digital Patents of China," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:3891-:d:1389492
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/3891/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/10/3891/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Chenglei Xu & Shuxin Zhu & Boru Yang & Bin Miao & Yi Duan, 2023. "A Review of Policy Framework Research on Promoting Sustainable Transformation of Digital Innovation," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    3. Sun, Xianming & Xiao, Shiyi & Ren, Xiaohang & Xu, Bing, 2023. "Time-varying impact of information and communication technology on carbon emissions," Energy Economics, Elsevier, vol. 118(C).
    4. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    5. Brynjolfsson, Erik & Collis, Avinash & Diewert, W. Erwin & Eggers, Felix & Fox, Kevin J., 2019. "GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy," OSF Preprints sptfu, Center for Open Science.
    6. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    7. Sanjeev Dewan & Kenneth L. Kraemer, 2000. "Information Technology and Productivity: Evidence from Country-Level Data," Management Science, INFORMS, vol. 46(4), pages 548-562, April.
    8. Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
    9. Braunerhjelm, Pontus & Ding, Ding & Thulin, Per, 2020. "Labour market mobility, knowledge diffusion and innovation," European Economic Review, Elsevier, vol. 123(C).
    10. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
    11. Gao, Qiang & Cheng, Changming & Sun, Guanglin, 2023. "Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    12. Tuvaandorj, Purevdorj, 2020. "Regression discontinuity designs, white noise models, and minimax," Journal of Econometrics, Elsevier, vol. 218(2), pages 587-608.
    13. Mary Amiti & Jozef Konings, 2007. "Trade Liberalization, Intermediate Inputs, and Productivity: Evidence from Indonesia," American Economic Review, American Economic Association, vol. 97(5), pages 1611-1638, December.
    14. Jin, Laiqun & Dai, Jiaying & Jiang, Weijie & Cao, Kairui, 2023. "Digital finance and misallocation of resources among firms: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    15. Lei Yin & Di Wang & Yanyan Li, 2022. "Effectiveness of Tax Policies in Corporate Restructuring: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(10), pages 2942-2956, August.
    16. Qiansheng Gong & Xiangyu Wang & Xi Tang, 2023. "How Can the Development of Digital Economy Empower Green Transformation and Upgrading of the Manufacturing Industry?—A Quasi-Natural Experiment Based on the National Big Data Comprehensive Pilot Zone ," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    17. 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.
    18. Gao, Yuning & Zhang, Meichen & Zheng, Jinghai, 2021. "Accounting and determinants analysis of China's provincial total factor productivity considering carbon emissions," China Economic Review, Elsevier, vol. 65(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    2. Li, Chengming & Huo, Peng & Wang, Zeyu & Zhang, Weiguang & Liang, Feiyan & Mardani, Abbas, 2023. "Digitalization generates equality? Enterprises’ digital transformation, financing constraints, and labor share in China," Journal of Business Research, Elsevier, vol. 163(C).
    3. Shizhong Peng & Haoran Peng & Shirong Pan & Jun Wu, 2023. "Digital Transformation, Green Innovation, and Pollution Abatement: Evidence from China," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    4. Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.
    5. Ciaffi, Giovanna & Deleidi, Matteo & Di Bucchianico, Stefano, 2024. "Stagnation despite ongoing innovation: Is R&D expenditure composition a missing link? An empirical analysis for the US (1948–2019)," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    6. Robert C. Allen, 2021. "The Interplay among Wages, Technology, and Globalization: The Labour Market and Inequality, 1620-2020," Working Papers 20210065, New York University Abu Dhabi, Department of Social Science, revised Jun 2021.
    7. Cao, Yuqiang & Hu, Yong & Liu, Qian & Lu, Meiting & Shan, Yaowen, 2023. "Job creation or disruption? Unraveling the effects of smart city construction on corporate employment in China," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    8. Juthathip Jongwanich & Archanun Kohpaiboon & Ayako Obashi, 2020. "Technological Advancement, Import Penetration, and Labour Markets: Evidence from Thai Manufacturing," Working Papers ERIA-DP-2020-09, Economic Research Institute for ASEAN and East Asia (ERIA).
    9. Juthathip Jongwanich & Archanun Kohpaiboon & Ayako Obashi, 2020. "Technological Advancement, Import Penetration, and Labour Markets: Evidence from Thai Manufacturing," Working Papers DP-2020-09, Economic Research Institute for ASEAN and East Asia (ERIA).
    10. Sato, Hitoshi & Zhu, Lianming, 2014. "Tariff reductions and labor demand elasticities : evidence from Chinese firm-level data," IDE Discussion Papers 463, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    11. Giordano, Claire & Lopez-Garcia, Paloma, 2019. "Firm heterogeneity and trade in EU countries: a cross-country analysis," Occasional Paper Series 225, European Central Bank.
    12. Hua Zhang & Qiwang Zhang, 2023. "How Does Digital Transformation Facilitate Enterprise Total Factor Productivity? The Multiple Mediators of Supplier Concentration and Customer Concentration," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    13. Jin, Shaosheng & Guo, Haiyue & Delgado, Michael S. & Wang, H. Holly, 2017. "Benefit or damage? The productivity effects of FDI in the Chinese food industry," Food Policy, Elsevier, vol. 68(C), pages 1-9.
    14. Lili Yan Ing & Wei Tian & Maiojie Yu, "undated". "China’s Processing Trade and Value Chains," Working Papers DP-2018-02, Economic Research Institute for ASEAN and East Asia (ERIA).
    15. Lionel Fontagné & Ariell Reshef & Gianluca Santoni & Giulio Vannelli, 2024. "Automation, global value chains and functional specialization," Review of International Economics, Wiley Blackwell, vol. 32(2), pages 662-691, May.
    16. Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," IZA Discussion Papers 13606, Institute of Labor Economics (IZA).
    17. Lin, Benxi & Du, Ruiying & Dong, Zekuan & Jin, Shaosheng & Liu, Weipin, 2020. "The impact of foreign direct investment on the productivity of the Chinese forest products industry," Forest Policy and Economics, Elsevier, vol. 111(C).
    18. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    19. Dilip Mookherjee & Debraj Ray, 2022. "Growth, Automation and the Long-Run Share of Labor," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 1-26, October.
    20. Lee Ohanian & Musa Orak & Shihan Shen, 2023. "Revisiting Capital-Skill Complementarity, Inequality, and Labor Share," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 479-505, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:3891-:d:1389492. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.