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Job creation or disruption? Unraveling the effects of smart city construction on corporate employment in China

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  • Cao, Yuqiang
  • Hu, Yong
  • Liu, Qian
  • Lu, Meiting
  • Shan, Yaowen

Abstract

Previous literature on smart city construction (SCC) has mainly focused on its economic and environmental benefits while largely overlooking its potential adverse consequences, especially on microeconomic units. Using China's SCC pilots as a quasi-natural experiment, this study examines the impact of SCC on corporate hiring decisions and finds that SCC adversely impacts corporate employment. The mechanism analysis suggests that SCC affects corporate employment through factor substitution rather than job creation by promoting digital capitalization and capital and technological factor substitution. Further analyses indicate that SCC primarily reduces the number of low-skilled and non-production employees and has a stronger impact on local private, old, and industrial firms. We also find evidence of labor reallocation effects of SCC. Overall, the results highlight the trade-off between promoting SCC and mitigating employment challenges and the role of data as a new production factor in the digital economy era, providing important policy implications for stakeholders.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:195:y:2023:i:c:s0040162523004687
    DOI: 10.1016/j.techfore.2023.122783
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    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. Yin, Zhichao & Gong, Xue & Guo, Peiyao & Wu, Tao, 2019. "What Drives Entrepreneurship in Digital Economy? Evidence from China," Economic Modelling, Elsevier, vol. 82(C), pages 66-73.
    3. Lordan, Grace & Neumark, David, 2018. "People versus machines: The impact of minimum wages on automatable jobs," Labour Economics, Elsevier, vol. 52(C), pages 40-53.
    4. Dengler, Katharina & Matthes, Britta, 2018. "The impacts of digital transformation on the labour market: Substitution potentials of occupations in Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 304-316.
    5. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    6. Cai, Xiqian & Lu, Yi & Wu, Mingqin & Yu, Linhui, 2016. "Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China," Journal of Development Economics, Elsevier, vol. 123(C), pages 73-85.
    7. Ni, Bin & Obashi, Ayako, 2021. "Robotics technology and firm-level employment adjustment in Japan," Japan and the World Economy, Elsevier, vol. 57(C).
    8. Appio, Francesco Paolo & Lima, Marcos & Paroutis, Sotirios, 2019. "Understanding Smart Cities: Innovation ecosystems, technological advancements, and societal challenges," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 1-14.
    9. Jung, Jin Hwa & Lim, Dong-Geon, 2020. "Industrial robots, employment growth, and labor cost: A simultaneous equation analysis," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    10. 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.
    11. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    12. Philippe Aghion & Céline Antonin & Simon Bunel, 2019. "Artificial Intelligence, Growth and Employment: The Role of Policy," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 149-164.
    13. Coad, Alex & Segarra, Agustí & Teruel, Mercedes, 2013. "Like milk or wine: Does firm performance improve with age?," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 173-189.
    14. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    15. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    16. Gilbert Cette & Sandra Nevoux & Loriane Py, 2022. "The impact of ICTs and digitalization on productivity and labor share: evidence from French firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(8), pages 669-692, November.
    17. Yixuan Duan & Yu Kang, 2022. "Research on Competitive Neutrality of SOEs with Special Functions in China," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    18. 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.
    19. Lei Wen & Haiwen Zhou, 2023. "The choice of technology in economic development," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 747-763, December.
    20. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    21. Kristina McElheran, 2015. "Do Market Leaders Lead in Business Process Innovation? The Case(s) of E-business Adoption," Management Science, INFORMS, vol. 61(6), pages 1197-1216, June.
    22. Beier, Grischa & Matthess, Marcel & Shuttleworth, Luke & Guan, Ting & de Oliveira Pereira Grudzien, David Iubel & Xue, Bing & Pinheiro de Lima, Edson & Chen, Ling, 2022. "Implications of Industry 4.0 on industrial employment: A comparative survey from Brazilian, Chinese, and German practitioners," Technology in Society, Elsevier, vol. 70(C).
    23. Li, Jianqiang & Shan, Yaowen & Tian, Gary & Hao, Xiangchao, 2020. "Labor cost, government intervention, and corporate innovation: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 64(C).
    24. Appio, Francesco Paolo & Lima, Marcos & Paroutis, Sotirios, 2019. "Understanding Smart Cities: Innovation ecosystems, technological advancements, and societal challenges," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 1-14.
    25. Baogui Xin & Yongmei Qu, 2019. "Effects of Smart City Policies on Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China," IJERPH, MDPI, vol. 16(13), pages 1-15, July.
    26. Celeste Varum & Vera Rocha, 2013. "Employment and SMEs during crises," Small Business Economics, Springer, vol. 40(1), pages 9-25, January.
    27. 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.
    28. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    29. Martina Lawless, 2014. "Age or size? Contributions to job creation," Small Business Economics, Springer, vol. 42(4), pages 815-830, April.
    30. Mariacristina Piva & Marco Vivarelli, 2018. "Technological change and employment: is Europe ready for the challenge?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(1), pages 13-32, March.
    31. Meghana Ayyagari & Asli Demirguc-Kunt & Vojislav Maksimovic, 2014. "Who creates jobs in developing countries?," Small Business Economics, Springer, vol. 43(1), pages 75-99, June.
    32. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    33. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    34. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    35. Haarstad, Håvard & Wathne, Marikken W., 2019. "Are smart city projects catalyzing urban energy sustainability?," Energy Policy, Elsevier, vol. 129(C), pages 918-925.
    36. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    37. Cortes, Guido Matias & Jaimovich, Nir & Siu, Henry E., 2017. "Disappearing routine jobs: Who, how, and why?," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 69-87.
    38. Rui Li & Jing Rao & Liangyong Wan, 2022. "The digital economy, enterprise digital transformation, and enterprise innovation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2875-2886, October.
    39. Stephen Esaku, 2022. "Which firms drive employment growth in Sub-Saharan Africa? Evidence from Kenya," Small Business Economics, Springer, vol. 59(1), pages 383-396, June.
    40. Yong Hu & Qian Liu, 2023. "Local Digital Economy and Corporate Social Responsibility," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    41. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    42. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    43. 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.
    44. Benjamin David, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Post-Print hal-01549790, HAL.
    45. Luo, Jigang & Wang, Zhen & Wu, Maohua, 2021. "Effect of place-based policies on the digital economy: Evidence from the Smart City Program in China," Journal of Asian Economics, Elsevier, vol. 77(C).
    46. Liu, Guanchun & Liu, Yuanyuan & Zhang, Chengsi, 2022. "Tax enforcement and corporate employment: Evidence from a quasi-natural experiment in China," China Economic Review, Elsevier, vol. 73(C).
    47. Wang, Huijuan & Ding, Lin & Guan, Rong & Xia, Yan, 2020. "Effects of advancing internet technology on Chinese employment: a spatial study of inter-industry spillovers," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    48. John ARIZA & Josep Lluís RAYMOND BARA, 2020. "Technological change and employment in Brazil, Colombia and Mexico: Which workers are most affected?," International Labour Review, International Labour Organization, vol. 159(2), pages 137-159, June.
    49. repec:hal:spmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    50. David, Benjamin, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Journal of the Japanese and International Economies, Elsevier, vol. 43(C), pages 77-87.
    51. Zuo, Shengqiang & Wu, Bangzheng & Feng, Jun, 2023. "Does government reduction of the corporate income tax rate increase employment? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 365-372.
    52. Liu, Guanchun & Liu, Yuanyuan & Ye, Yongwei & Zhang, Chengsi, 2021. "Collateral menus and corporate employment: Evidence from China's Property Law," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 686-709.
    53. Sarah Edore Edewor & Genesis B. Kollie & Ibukun James Olaoye, 2023. "Conditions Driving Youth Employment in Key Sectors of the Nigerian Economy," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    54. Lazaroiu, George Cristian & Roscia, Mariacristina, 2012. "Definition methodology for the smart cities model," Energy, Elsevier, vol. 47(1), pages 326-332.
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