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Have Industrial Robots Improved Pollution Reduction? A Theoretical Approach and Empirical Analysis

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  • Huzhou Zhu
  • Bin Sang
  • Chunyuan Zhang
  • Lin Guo

Abstract

To investigate whether industrial robots have improved the ecological environment, this study integrated the adoption of robot technology and pollution abatement into Melitz's heterogeneous firm model. This showed that using robots in production can lower firms' pollution intensity by increasing their abatement investments, and this reduction effect is greater for higher polluting firms and those subject to weaker local environmental regulations. These theoretical expectations were then confirmed through a series of empirical investigations based on Bartik instrument regressions, with multiple robustness checks as well as heterogeneity and mechanism analyses. This paper adds to the literature on the relationships between automation technologies and green transformation. It shows that in the pursuit of economic growth and environmental protection, it is necessary for policymakers to shift from pollution control to technical support for traditional manufacturing firms.

Suggested Citation

  • Huzhou Zhu & Bin Sang & Chunyuan Zhang & Lin Guo, 2023. "Have Industrial Robots Improved Pollution Reduction? A Theoretical Approach and Empirical Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 153-172, July.
    • Handle: RePEc:bla:chinae:v:31:y:2023:i:4:p:153-172
    DOI: 10.1111/cwe.12495
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    References listed on IDEAS

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    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. Fan, Haichao & Hu, Yichuan & Tang, Lixin, 2021. "Labor costs and the adoption of robots in China," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 608-631.
    3. Joseph S. Shapiro & Reed Walker, 2018. "Why Is Pollution from US Manufacturing Declining? The Roles of Environmental Regulation, Productivity, and Trade," American Economic Review, American Economic Association, vol. 108(12), pages 3814-3854, December.
    4. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
    5. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    6. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    7. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    8. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    9. Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
    10. Nicholas Bloom & Aprajit Mahajan & David McKenzie & John Roberts, 2010. "Why Do Firms in Developing Countries Have Low Productivity?," American Economic Review, American Economic Association, vol. 100(2), pages 619-623, May.
    11. Bai, Chong-En & Lu, Jiangyong & Tao, Zhigang, 2009. "How does privatization work in China?," Journal of Comparative Economics, Elsevier, vol. 37(3), pages 453-470, September.
    12. Wang, Hua & Wheeler, David, 2003. "Equilibrium pollution and economic development in China," Environment and Development Economics, Cambridge University Press, vol. 8(3), pages 451-466, July.
    13. Miaojie Yu, 2015. "Processing Trade, Tariff Reductions and Firm Productivity: Evidence from Chinese Firms," Economic Journal, Royal Economic Society, vol. 125(585), pages 943-988, June.
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    Cited by:

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    3. Song, Yuegang & Wang, Ziqi & Song, Changqing & Wang, Jianhua & Liu, Rong, 2024. "Impact of artificial intelligence on renewable energy supply chain vulnerability: Evidence from 61 countries," Energy Economics, Elsevier, vol. 131(C).
    4. Ankur Tayal & Saurabh Agrawal & Rajan Yadav, 2024. "Implementation of industry 4.0 in construction industry: a review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4163-4182, September.
    5. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
    6. Yanying Wang & Qingyang Wu, 2024. "Robots, firm relocation, and air pollution: unveiling the unintended spatial spillover effects of emerging technology," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.

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