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Robot adoption and firm's capacity utilization: Evidence from China

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  • Wang, Hua
  • Liao, Lingtao
  • Wu, Ji (George)

Abstract

We examine the impact of a firm's robot adoption on the capacity utilization rate for Chinese manufacturing firms between 2011 and 2019. Our result shows a significant positive relationship between a firm's robot adoption and capacity utilization rate. Further analysis finds that the main finding is only significant for non-SOEs, firms with low supply-demand balance, low-tech firms, firms in labor-intensive industries, high financial constraints firms, high-profit volatility firms, and under-hiring firms. The path analysis suggests that a firm's robot adoption improves the firm's capacity utilization rate by reducing its labor investment inefficiency. Our main result remains significant on the industrial level. Finally, the main finding held after alleviating the endogeneity concerns and several robustness tests.

Suggested Citation

  • Wang, Hua & Liao, Lingtao & Wu, Ji (George), 2023. "Robot adoption and firm's capacity utilization: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:pacfin:v:82:y:2023:i:c:s0927538x23002676
    DOI: 10.1016/j.pacfin.2023.102196
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    as
    1. Andrés Erosa & Tatyana Koreshkova & Diego Restuccia, 2010. "How Important Is Human Capital? A Quantitative Theory Assessment of World Income Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1421-1449.
    2. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    3. David Dollar & Shang-Jin Wei, 2007. "Das (Wasted) Kapital: Firm Ownership and Investment Efficiency in China," IMF Working Papers 2007/009, International Monetary Fund.
    4. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    5. Michalis Nikiforos, 2013. "The (Normal) Rate of Capacity Utilization at the Firm Level," Metroeconomica, Wiley Blackwell, vol. 64(3), pages 513-538, July.
    6. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    7. Christoph Grimpe & Ulrich Kaiser, 2010. "Balancing Internal and External Knowledge Acquisition: The Gains and Pains from R&D Outsourcing," Journal of Management Studies, Wiley Blackwell, vol. 47(8), pages 1483-1509, December.
    8. Piotroski, Joseph D. & Zhang, Tianyu, 2014. "Politicians and the IPO decision: The impact of impending political promotions on IPO activity in China," Journal of Financial Economics, Elsevier, vol. 111(1), pages 111-136.
    9. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    10. 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.
    11. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    12. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    13. Luigi Zingales, 2000. "In Search of New Foundations," Journal of Finance, American Finance Association, vol. 55(4), pages 1623-1653, August.
    14. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    15. 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, December.
    16. Phi, Nguyet Thi Minh & Taghizadeh-Hesary, Farhad & Tu, Chuc Anh & Yoshino, Naoyuki & Kim, Chul Ju, 2019. "Performance Differential Between Private and State-Owned Enterprises: An Analysis of Profitability and Leverage," ADBI Working Papers 950, Asian Development Bank Institute.
    17. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    18. 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.
    19. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    20. 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.
    21. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    22. Gérard P. Cachon & Taylor Randall & Glen M. Schmidt, 2007. "In Search of the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 457-479, April.
    23. Boochun Jung & Woo†Jong Lee & David P. Weber, 2014. "Financial Reporting Quality and Labor Investment Efficiency," Contemporary Accounting Research, John Wiley & Sons, vol. 31(4), pages 1047-1076, December.
    24. Georg Graetz & Guy Michaels, 2015. "Robots at work: the impact on productivity and jobs," CentrePiece - The magazine for economic performance 447, Centre for Economic Performance, LSE.
    25. C. Alan Garner, 1994. "Capacity utilization and U.S. inflation," Economic Review, Federal Reserve Bank of Kansas City, vol. 79(Q IV), pages 5-21.
    26. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    27. Natalia Ortiz-de-Mandojana & Pratima Bansal, 2016. "The long-term benefits of organizational resilience through sustainable business practices," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1615-1631, August.
    28. Grossman, Gene M & Helpman, Elhanan, 1990. "Trade, Innovation, and Growth," American Economic Review, American Economic Association, vol. 80(2), pages 86-91, May.
    29. Paulo Esteves & António Rua, 2015. "Is there a role for domestic demand pressure on export performance?," Empirical Economics, Springer, vol. 49(4), pages 1173-1189, December.
    30. 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).
    31. L. Becchetti & David Bedoya & L. Paganetto, 2003. "ICT Investment, Productivity and Efficiency: Evidence at Firm Level Using a Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 20(2), pages 143-167, September.
    32. Worthington, Paula R, 1995. "Investment, Cash Flow, and Sunk Costs," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 49-61, March.
    33. Bozeman, Barry & Youtie, Jan & Jung, Jiwon, 2020. "Robotic Bureaucracy and Administrative Burden: What Are the Effects of Universities’ Computer Automated Research Grants Management Systems?," Research Policy, Elsevier, vol. 49(6).
    34. Diego Restuccia & Richard Rogerson, 2013. "Misallocation and productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 1-10, January.
    35. Huan Chen & Tingyong Zhong & Jeoung Yul Lee, 2020. "Capacity Reduction Pressure, Financing Constraints, and Enterprise Sustainable Innovation Investment: Evidence from Chinese Manufacturing Companies," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    36. Murphy, Daniel, 2017. "Excess capacity in a fixed-cost economy," European Economic Review, Elsevier, vol. 91(C), pages 245-260.
    37. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    38. Lianying Hong & Xujun Liu & Huiwen Zhan & Feng Han, 2022. "Use of industrial robots and Chinese enterprises’ export quality upgrading: Evidence from China," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 31(6), pages 860-875, August.
    39. Dengjun Zhang, 2022. "Capacity utilization under credit constraints: A firm‐level study of Latin American manufacturing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1367-1386, January.
    40. Ferrarini , Benno & Hinojales , Marthe & Scaramozzino , Pasquale, 2017. "Leverage and Capital Structure Determinants of Chinese Listed Companies," ADB Economics Working Paper Series 509, Asian Development Bank.
    41. vom Lehn, Christian, 2020. "Labor market polarization, the decline of routine work, and technological change: A quantitative analysis," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 62-80.
    42. Guo, Di & Guo, Yan & Jiang, Kun, 2016. "Government-subsidized R&D and firm innovation: Evidence from China," Research Policy, Elsevier, vol. 45(6), pages 1129-1144.
    43. Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
    44. Belke, Ansgar & Oeking, Anne & Setzer, Ralph, 2015. "Domestic demand, capacity constraints and exporting dynamics: Empirical evidence for vulnerable euro area countries," Economic Modelling, Elsevier, vol. 48(C), pages 315-325.
    45. Lechevalier, Sébastien & Nishimura, Junichi & Storz, Cornelia, 2014. "Diversity in patterns of industry evolution: How an intrapreneurial regime contributed to the emergence of the service robot industry," Research Policy, Elsevier, vol. 43(10), pages 1716-1729.
    46. Boubakri, Narjess & Cosset, Jean-Claude & Saffar, Walid, 2013. "The role of state and foreign owners in corporate risk-taking: Evidence from privatization," Journal of Financial Economics, Elsevier, vol. 108(3), pages 641-658.
    47. Charles J. Hadlock & Joshua R. Pierce, 2010. "New Evidence on Measuring Financial Constraints: Moving Beyond the KZ Index," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 1909-1940.
    48. Liu, Guangqiang & Zhang, Xiaojie & Zhang, Wanting & Wang, Di, 2019. "The impact of government subsidies on the capacity utilization of zombie firms," Economic Modelling, Elsevier, vol. 83(C), pages 51-64.
    49. Sahoo, Biresh K. & Tone, Kaoru, 2009. "Decomposing capacity utilization in data envelopment analysis: An application to banks in India," European Journal of Operational Research, Elsevier, vol. 195(2), pages 575-594, June.
    50. 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).
    51. repec:bla:jomstd:v:47:y:2010:i:s2:p:1483-1509 is not listed on IDEAS
    52. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    53. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    54. Anwar M. Shaikh & Jamee K. Moudud, 2004. "Measuring Capacity Utilization in OECD Countries: A Cointegration Method," Economics Working Paper Archive wp_415, Levy Economics Institute.
    55. Su, Kun & Wu, Ji & Lu, Yue, 2022. "With trust we innovate: Evidence from corporate R&D expenditure," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    56. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    57. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    58. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    59. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2019. "Estimating capacity utilization of Chinese manufacturing industries," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 94-110.
    60. Firat Demir, 2009. "Financialization and Manufacturing Firm Profitability under Uncertainty and Macroeconomic Volatility: Evidence from an Emerging Market," Review of Development Economics, Wiley Blackwell, vol. 13(4), pages 592-609, November.
    61. H. Kim, 1999. "Economic Capacity Utilization and its Determinants: Theory and Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 15(4), pages 321-339, December.
    62. Kong, Dongmin & Liu, Shasha & Xiang, Junyi, 2018. "Political promotion and labor investment efficiency," China Economic Review, Elsevier, vol. 50(C), pages 273-293.
    63. Ruhul Salim, 2008. "Differentials at firm level productive capacity realization in Bangladesh food manufacturing: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 40(24), pages 3111-3126.
    64. 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).
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