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Articles

Does artificial intelligence promote industrial upgrading? Evidence from China

ORCID Icon & ORCID Icon
Pages 1666-1687 | Received 02 Nov 2021, Accepted 15 Jun 2022, Published online: 11 Jul 2022

References

  • Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. https://doi.org/10.1257/aer.20160696
  • Aghion, P., Antonin, C., & Bunel, S. (2019). Artificial intelligence, growth and employment: The role of policy. Economie et Statistique, 510(1), 149–164. https://doi.org/10.24187/ecostat.2019.510t.1994
  • Alrowwad, A., Abualoush, S. H., & Masa'deh, R. (2020). Innovation and intellectual capital as intermediary variables among transformational leadership, transactional leadership, and organizational performance. Journal of Management Development, 39(2), 196–222. https://doi.org/10.1108/JMD-02-2019-0062
  • Arthur, W. B. (2007). The structure of invention. Research Policy, 36(2), 274–287. https://doi.org/10.1016/j.respol.2006.11.005
  • Beladi, H., Chao, C. C., Ee, M. S., & Hollas, D. (2020). Urban development, excessive entry of firms and wage inequality in developing countries. The World Economy, 43(1), 212–238. https://doi.org/10.1111/twec.12778
  • Bogachov, S., Kwilinski, A., Miethlich, B., Bartosova, V., & Gurnak, A. (2020). Artificial intelligence components and fuzzy regulators in entrepreneurship development. Entrepreneurship and Sustainability Issues, 8(2), 487–499. https://doi.org/10.9770/jesi.2020.8.2
  • Borland, J., & Coelli, M. (2017). Are robots taking our jobs? Australian Economic Review, 50(4), 377–397. https://doi.org/10.1111/1467-8462.12245
  • Cassetta, E., Monarca, U., Dileo, I., Di Berardino, C., & Pini, M. (2020). The relationship between digital technologies and internationalisation. Evidence from Italian SMEs. Industry and Innovation, 27(4), 311–339. https://doi.org/10.1080/13662716.2019.1696182
  • Chen, Y. (2020). Improving market performance in the digital economy. China Economic Review, 62, 101482. https://doi.org/10.1016/j.chieco.2020.101482
  • Chen, X., Li, H., Qin, Q., & Peng, Y. (2021). Market-oriented reforms and China’s green economic development: an empirical study based on stochastic frontier analysis. Emerging Markets Finance and Trade, 57(4), 949–971. https://doi.org/10.1080/1540496X.2019.1694885
  • Cramer-Greenbaum, S. (2021). Who can afford a ‘livable’place? The part of living global rankings leave out. International Journal of Urban Sustainable Development, 13(1), 70–82. https://doi.org/10.1080/19463138.2020.1812076
  • Feizabadi, J. (2022). Machine learning demand forecasting and supply chain performance. International Journal of Logistics Research and Applications, 25(2), 119–142. https://doi.org/10.1080/13675567.2020.1803246
  • Fisman, R., & Svensson, J. (2007). Are corruption and taxation really harmful to growth? Firm level evidence. Journal of Development Economics, 83(1), 63–75. https://doi.org/10.1016/j.jdeveco.2005.09.009
  • Fu, L. H. (2010). An empirical study on the relationship between the industrial structure advancement and economic growth in China. Statistical Research, 27(8), 79–81. (In Chinese).
  • Galaz, V., Centeno, M. A., Callahan, P. W., Causevic, A., Patterson, T., Brass, I., Baum, S., Farber, D., Fischer, J., Garcia, D., McPhearson, T., Jimenez, D., King, B., Larcey, P., & Levy, K. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society, 67, 101741. https://doi.org/10.1016/j.techsoc.2021.101741
  • Gan, C. H., Zheng, R. G., & Yu, D. F. (2011). An empirical study on the effects of industrial structure on economic growth and fluctuations in China. Economic Research, 46(5), 4–16. (In Chinese).
  • Ge, J., Wang, F., Sun, H., Fu, L., & Sun, M. (2020). Research on the maturity of big data management capability of intelligent manufacturing enterprise. Systems Research and Behavioral Science, 37(4), 646–662. https://doi.org/10.1002/sres.2707
  • Geng, Y., Liu, W., & Wu, Y. (2021). How do zombie firms affect China’s industrial upgrading? Economic Modelling, 97, 79–94. https://doi.org/10.1016/j.econmod.2021.01.010
  • Glavas, C., & Mathews, S. (2014). How international entrepreneurship characteristics influence Internet capabilities for the international business processes of the firm. International Business Review, 23(1), 228–245. https://doi.org/10.1016/j.ibusrev.2013.04.001
  • Grimshaw, D. (2020). International organisations and the future of work: How new technologies and inequality shaped the narratives in 2019. Journal of Industrial Relations, 62(3), 477–507. https://doi.org/10.1177/0022185620913129
  • Hao, Y., Ba, N., Ren, S., & Wu, H. (2021). How does international technology spillover affect China's carbon emissions? A new perspective through intellectual property protection. Sustainable Production and Consumption, 25, 577–590. https://doi.org/10.1016/j.spc.2020.12.008
  • Jiang, J., Su, P., & Ge, Z. (2020). The high-and new-technology enterprise identification, marketization process and the total factor productivity of enterprise. Kybernetes, 50(2), 528–549. https://doi.org/10.1108/K-11-2019-0743
  • Joung, J., & Kim, K. (2017). Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data. Technological Forecasting and Social Change, 114, 281–292. https://doi.org/10.1016/j.techfore.2016.08.020
  • Kim, J., Choi, J., Park, S., & Jang, D. (2018). Patent keyword extraction for sustainable technology management. Sustainability, 10(4), 1287. https://doi.org/10.3390/su10041287
  • Kromann, L., Malchow-Møller, N., Skaksen, J. R., & Sørensen, A. (2019). Automation and productivity—a cross-country, cross-industry comparison. Industrial and Corporate Change, 29(2), 265–287. https://doi.org/10.1093/icc/dtz039
  • Liu, H., & He, Q. (2019). The effect of basic public service on urban-rural income inequality: a sys-GMM approach. Economic Research-Ekonomska istraživanja, 32(1), 3205–3223. https://doi.org/10.1080/133-1677X.2019.1661005
  • Li, Y. W., & Cao, K. (2020). Establishment and application of intelligent city building information model based on BP neural network model. Computer Communications, 153, 382–389. https://doi.org/10.1016/j.comcom.2020.02.013
  • Liu, J., Chang, H., Forrest, J. Y. L., & Yang, B. (2020). Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors. Technological Forecasting and Social Change, 158, 120142. https://doi.org/10.1016/j.techfore.2020.120142
  • Liu, L., Li, L. S., Liu, J., & Cheng, Z. H. (2020). Intelligence and transformation of economic development mode: theoretical mechanism and empirical evidence. Economic Review, 41(2), 3–19. (In Chinese).
  • Li, J., & Wang, Y. (2019). Coupling effect of regional industrial cluster and innovation based on complex system metric and fuzzy mathematics. Journal of Intelligent & Fuzzy Systems, 37(5), 6115–6126. https://doi.org/10.3233/JIFS-179196
  • Mellacher, P., & Scheuer, T. (2021). Wage inequality, labor market polarization and skill-biased technological change: an evolutionary (agent-based) approach. Computational Economics, 58(2), 233–278. https://doi.org/10.1007/s10614-020-10026-0
  • Nunn, N., & Qian, N. (2014). US food aid and civil conflict. American Economic Review, 104(6), 1630–1666. https://doi.org/10.1257/aer.104.6.1630
  • Peng, H., Shen, N., Ying, H., & Wang, Q. (2021). Can environmental regulation directly promote green innovation behavior?——based on situation of industrial agglomeration. Journal of Cleaner Production, 314, 128044. https://doi.org/10.1016/j.jclepro.2021.128044
  • Rainnie, A., & Dean, M. (2020). Industry 4.0 and the future of quality work in the global digital economy. Labour & Industry: a Journal of the Social and Economic Relations of Work, 30(1), 16–33. https://doi.org/10.1080/10301763.2019.1697598
  • Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
  • Ruiz-Real, J. L., Uribe-Toril, J., Torres, J. A., & De Pablo, J. (2020). Artificial intelligence in business and economics research: trends and future. Journal of Business Economics and Management, 22(1), 98–117. https://doi.org/10.3846/jbem.2020.13641
  • Spencer, D. (2017). Work in and beyond the Second Machine Age: the politics of production and digital technologies. Work, Employment and Society, 31(1), 142–152. https://doi.org/10.1177/0950017016645716
  • Sun, Z., & Hou, Y. L. (2019). How industrial intelligence reshapes labor employment structure. China Industrial Economy, 36(5), 61–79. (In Chinese).
  • Wang, L., Luo, G. L., Sari, A., & Shao, X. F. (2020). What nurtures fourth industrial revolution? An investigation of economic and social determinants of technological innovation in advanced economies. Technological Forecasting and Social Change, 161, 120305. https://doi.org/10.1016/j.techfore.2020.120305
  • Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., Li, L., Li, M., Chen, Q., Li, X., Cao, X., Wang, Z., Zha, Z., Zhuang, Y., & Pan, Y. (2020). Towards a new generation of artificial intelligence in China. Nature Machine Intelligence, 2(6), 312–316. https://doi.org/10.1038/s42256-020-0183-4
  • Yuan, X., & Gao, Y. (2020). Demographic transition and economic miracles in China: an analysis based on demographic perspective. International Journal of Economic Policy Studies, 14(1), 25–45. https://doi.org/10.1007/s42495-019-00030-0
  • Zhang, D. (2021). Marketization, environmental regulation, and eco-friendly productivity: A Malmquist–Luenberger index for pollution emissions of large Chinese firms. Journal of Asian Economics, 76, 101342. https://doi.org/10.1016/j.asieco.2021.101342
  • Zheng, P., Wang, H., Sang, Z., Zhong, R. Y., Liu, Y., Liu, C., Mubarok, K., Yu, S., & Xu, X. (2018). Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives. Frontiers of Mechanical Engineering, 13(2), 137–150. https://doi.org/10.1007/s11465-018-0499-5
  • Zhou, Q., Zhu, M., Qiao, Y., Zhang, X., & Chen, J. (2021). Achieving resilience through smart cities? Evidence from China. Habitat International, 111, 102348. https://doi.org/10.1016/j.habitatint.2021.102348