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The role of robot adoption in green innovation: Evidence from China

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  • Gan, Jiawu
  • Liu, Lihua
  • Qiao, Gang
  • Zhang, Qin

Abstract

Green innovative activities are important for sustainable business development and green growth. However, little attention has been given to the role of technology adoption in green innovation. In this study, using a sample of Chinese listed manufacturing companies over the time period 2011–2019, we find that the adoption of industrial robots positively affects green innovation and the results survive when using multiple robustness tests and addressing endogenous issues. Moreover, the possible mechanisms are labor cost saving and human capital structure adjustment. Our findings are more significant for firms facing more stringent environmental regulations, firms in high-tech industries, firms owning high levels of investment in R&D activities, and Non-SOEs. On the whole, this study provides the first firm-level economic consequences assessment of robot adoption in terms of green innovation.

Suggested Citation

  • Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
    • Handle: RePEc:eee:ecmode:v:119:y:2023:i:c:s0264999322003650
    DOI: 10.1016/j.econmod.2022.106128
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    as
    1. Kong, Dongmin & Zhao, Ying & Liu, Shasha, 2021. "Trust and innovation: Evidence from CEOs' early-life experience," Journal of Corporate Finance, Elsevier, vol. 69(C).
    2. Yu, Chin-Hsien & Wu, Xiuqin & Zhang, Dayong & Chen, Shi & Zhao, Jinsong, 2021. "Demand for green finance: Resolving financing constraints on green innovation in China," Energy Policy, Elsevier, vol. 153(C).
    3. Alguacil Marí, María Teresa & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2020. "What is so special about robots and trade?," University of Göttingen Working Papers in Economics 410, University of Goettingen, Department of Economics.
    4. 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.
    5. Cornaggia, Jess & Mao, Yifei & Tian, Xuan & Wolfe, Brian, 2015. "Does banking competition affect innovation?," Journal of Financial Economics, Elsevier, vol. 115(1), pages 189-209.
    6. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation [Automation and Demographic Change]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    7. repec:hal:spmain:info:hdl:2441/170cd4sul89ddpnfuomvfm0jc0 is not listed on IDEAS
    8. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2020. "What Are the Labor and Product Market Effects of Automation? New Evidence from France," SciencePo Working papers Main hal-03403062, HAL.
    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. Chen, Zhao & Kahn, Matthew E. & Liu, Yu & Wang, Zhi, 2018. "The consequences of spatially differentiated water pollution regulation in China," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 468-485.
    11. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    12. de Vries, Gaaitzen J. & Gentile, Elisabetta & Miroudot, Sébastien & Wacker, Konstantin M., 2020. "The rise of robots and the fall of routine jobs," Labour Economics, Elsevier, vol. 66(C).
    13. Jing-Wen Huang & Yong-Hui Li, 2017. "Green Innovation and Performance: The View of Organizational Capability and Social Reciprocity," Journal of Business Ethics, Springer, vol. 145(2), pages 309-324, October.
    14. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    15. Sha, Yezhou & Zhang, Ping & Wang, Yiru & Xu, Yifan, 2022. "Capital market opening and green innovation——Evidence from Shanghai-Hong Kong stock connect and the Shenzhen-Hong Kong stock connect," Energy Economics, Elsevier, vol. 111(C).
    16. Lene Kromann & Nikolaj Malchow-Møller & Jan Rose Skaksen & Anders Sørensen, 2020. "Automation and productivity—a cross-country, cross-industry comparison [Computing inequality: have computers changed the labor market?]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(2), pages 265-287.
    17. Amore, Mario Daniele & Bennedsen, Morten, 2016. "Corporate governance and green innovation," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 54-72.
    18. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    19. Yousaf, Umair Bin & Ullah, Irfan & Jiang, Junchen & Wang, Man, 2022. "The role of board capital in driving green innovation: Evidence from China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    20. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, November.
    21. Alessandra Bonfiglioli & Rosario Crinò & Harald Fadinger & Gino Gancia, 2020. "Robot Imports and Firm-Level Outcomes," CRC TR 224 Discussion Paper Series crctr224_2020_243, University of Bonn and University of Mannheim, Germany.
    22. Chen, Zan & Jin, Jun & Li, Meng, 2022. "Does media coverage influence firm green innovation? The moderating role of regional environment," Technology in Society, Elsevier, vol. 70(C).
    23. Zhang, Cheng & Zhou, Bo & Tian, Xuan, 2022. "Political connections and green innovation: The role of a corporate entrepreneurship strategy in state-owned enterprises," Journal of Business Research, Elsevier, vol. 146(C), pages 375-384.
    24. Artuc,Erhan & Bastos,Paulo S. R. & Rijkers,Bob, 2018. "Robots, Tasks and Trade," Policy Research Working Paper Series 8674, The World Bank.
    25. Yi Che & Lei Zhang, 2018. "Human Capital, Technology Adoption and Firm Performance: Impacts of China's Higher Education Expansion in the Late 1990s," Economic Journal, Royal Economic Society, vol. 128(614), pages 2282-2320, September.
    26. Gene M. Grossman & Elhanan Helpman, 1993. "Innovation and Growth in the Global Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262570971, December.
    27. Remco H. Oostendorp, 2009. "Globalization and the Gender Wage Gap," The World Bank Economic Review, World Bank, vol. 23(1), pages 141-161, January.
    28. Wenhao Song & Hongyan Yu, 2018. "Green Innovation Strategy and Green Innovation: The Roles of Green Creativity and Green Organizational Identity," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(2), pages 135-150, March.
    29. 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.
    30. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    31. 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.
    32. 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.
    33. Liu, Menghe & Li, Yuxiao, 2022. "Environmental regulation and green innovation: Evidence from China's carbon emissions trading policy," Finance Research Letters, Elsevier, vol. 48(C).
    34. Kong, Dongmin & Zhang, Bohui & Zhang, Jian, 2022. "Higher education and corporate innovation," Journal of Corporate Finance, Elsevier, vol. 72(C).
    35. Chao Hung Wang & Wei‐Jr Juo, 2021. "An environmental policy of green intellectual capital: Green innovation strategy for performance sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3241-3254, November.
    36. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    37. repec:hal:spmain:info:hdl:2441/3n1gbsj6rs80ipqv9d42nfd0ge is not listed on IDEAS
    38. Xiang, Xiaojian & Liu, Chuanjiang & Yang, Mian, 2022. "Who is financing corporate green innovation?," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 321-337.
    39. Chen, Wen & Zhu, Yufeng & He, Zehui & Yang, Yang, 2022. "The effect of local government debt on green innovation: Evidence from Chinese listed companies," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    40. Zhang, Dongyang, 2022. "Environmental regulation, green innovation, and export product quality: What is the role of greenwashing?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    41. Qi Guoyou & Zeng Saixing & Tam Chiming & Yin Haitao & Zou Hailiang, 2013. "Stakeholders' Influences on Corporate Green Innovation Strategy: A Case Study of Manufacturing Firms in China," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 20(1), pages 1-14, January.
    42. Yaru Yang & Desheng Liu & Luxiu Zhang & Yingkai Yin, 2021. "Social Trust and Green Technology Innovation: Evidence from Listed Firms in China," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    43. Efraim Benmelech & Michal Zator, 2022. "Robots and Firm Investment," NBER Working Papers 29676, National Bureau of Economic Research, Inc.
    44. Alguacil, Maite & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2022. "Robot adoption and export performance: Firm-level evidence from Spain," Economic Modelling, Elsevier, vol. 114(C).
    45. Daron Acemoglu, 1996. "A Microfoundation for Social Increasing Returns in Human Capital Accumulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 779-804.
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    Cited by:

    1. Ma, Xinru & He, Jingbin, 2023. "Air pollution and corporate green innovation in China," Economic Modelling, Elsevier, vol. 124(C).
    2. Kong, Gaowen & Huang, Jiating & Kong, Dongmin & Zhu, Ling, 2023. "Female executives, industrial robots, and stock price crash risk," Finance Research Letters, Elsevier, vol. 57(C).

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    More about this item

    Keywords

    Robot adoption; Labor cost; Human capital; Green innovation;
    All these keywords.

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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