The Impacts of Digital Transformation on Labor Income Share: Evidence from China

References

• Acemoglu, D., D. Autor, D. Dorn, G. H. Hanson, and B. Price. 2014. Return of the solow paradox? It, productivity, and employment in us manufacturing. The American Economic Review 104 (5):394–99. doi:10.1257/aer.104.5.394.
   Web of Science ®Google Scholar
• Acemoglu, D., and P. Restrepo. 2018. The race between man and machine: Implications of technology for growth, factor shares, and employment. The American Economic Review 108 (6):1488–542. doi:10.1257/aer.20160696.
   Web of Science ®Google Scholar
• Acemoglu, D., and P. Restrepo. 2019. Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives 33 (2):3–30. doi:10.1257/jep.33.2.3.
   Web of Science ®Google Scholar
• Acemoglu, D., and P. Restrepo. 2020. Robots and jobs: Evidence from us labor markets. Journal of Political Economy 128 (6):2188–244. doi:10.1086/705716.
   Web of Science ®Google Scholar
• Agrawal, A., J. S. Gans, and A. Goldfarb. 2019. Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives 33 (2):31–50. doi:10.1257/jep.33.2.31.
   Web of Science ®Google Scholar
• Akaev, A., T. Devezas, Y. Ichkitidze, and A. Sarygulov. 2021. Forecasting the labor intensity and labor income share for g7 countries in the digital age. Technological Forecasting & Social Change 167:120675. doi:10.1016/j.techfore.2021.120675.
   Web of Science ®Google Scholar
• Alexopoulos, M., and J. Cohen. 2016. The medium is the measure: Technical change and employment, 1909–1949. The Review of Economics and Statistics 98 (4):792–810. doi:10.1162/REST_a_00588.
   Web of Science ®Google Scholar
• Atasoy, H. 2013. The effects of broadband internet expansion on labor market outcomes. Industrial & Labor Relations Review 66 (2):315–45. doi:10.1177/001979391306600202.
   Web of Science ®Google Scholar
• Atkeson, A. 2020. Alternative facts regarding the labor share. Review of Economic Dynamics 37:S167–80. doi:10.1016/j.red.2020.06.009.
   Web of Science ®Google Scholar
• Autor, D., D. Dorn, L. F. Katz, C. Patterson, and J. V. Reenen. 2017. Concentrating on the fall of the labor share. The American Economic Review 107 (5):180–85. doi:10.1257/aer.p20171102.
   Web of Science ®Google Scholar
• Autor, D., D. Dorn, L. F. Katz, C. Patterson, and J. Van Reenen. 2020. The fall of the labor share and the rise of superstar firms*. Quarterly Journal of Economics 135 (2):645–709. doi:10.1093/qje/qjaa004.
   Web of Science ®Google Scholar
• Autor, D. H. 2015. Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives 29 (3):3–30. doi:10.1257/jep.29.3.3.
   Web of Science ®Google Scholar
• Banalieva, E. R., and C. Dhanaraj. 2019. Internalization theory for the digital economy. Journal of International Business Studies 50 (8):1372–87. doi:10.1057/s41267-019-00243-7.
   Web of Science ®Google Scholar
• Beck, R., C. Müller-Bloch, J. L. King, O. M. University, and U. O. C. IT. 2018. Governance in the blockchain economy: A framework and research agenda. Journal of the Association for Information Systems 19 (10):1020–34. doi:10.17705/1jais.00518.
   Web of Science ®Google Scholar
• Bessen, J. 2019. Automation and jobs: When technology boosts employment. Economic Policy 34 (100):589–626. doi:10.1093/epolic/eiaa001.
   Web of Science ®Google Scholar
• Binder, A. J., and J. Bound. 2019. The declining labor market prospects of less-educated men. Journal of Economic Perspectives 33 (2):163–90. doi:10.1257/jep.33.2.163.
   PubMed Web of Science ®Google Scholar
• Brayne, S. 2017. Big data surveillance: The case of policing. American Sociological Review 82 (5):977–1008. doi:10.1177/0003122417725865.
   PubMed Web of Science ®Google Scholar
• Bridgman, B. 2018. Is labor’s loss capital’s gain? Gross versus net labor shares. Macroeconomic Dynamics 22 (8):2070–87. doi:10.1017/S1365100516001000.
   Web of Science ®Google Scholar
• Brynjolfsson, E., and T. Mitchell. 2017. What can machine learning do? Workforce implications. Science 358 (6370):1530–34. doi:10.1126/science.aap8062.
   PubMed Web of Science ®Google Scholar
• Chen, N., D. Sun, and J. Chen. 2022a. Digital transformation, labour share, and industrial heterogeneity. Journal of Innovation & Knowledge 7 (2):100173. doi:10.1016/j.jik.2022.100173.
   Web of Science ®Google Scholar
• Chen, X., L. Teng, and W. Chen. 2022b. How does FinTech affect the development of the digital economy? Evidence from china. The North American Journal of Economics & Finance 61:101697. doi:10.1016/j.najef.2022.101697.
   Web of Science ®Google Scholar
• Cheng, H., R. Jia, D. Li, and H. Li. 2019. The rise of robots in china. Journal of Economic Perspectives 33 (2):71–88. doi:10.1257/jep.33.2.71.
   Web of Science ®Google Scholar
• Dengler, K., and B. Matthes. 2018. The impacts of digital transformation on the labour market: Substitution potentials of occupations in germany. Technological Forecasting & Social Change 137:304–16. doi:10.1016/j.techfore.2018.09.024.
   Web of Science ®Google Scholar
• Feng, G., and X. Li. 2023. The roles of anti-monopoly on green innovation: Evidence from the chinese manufacturing industry. Emerging Markets Finance & Trade 1. doi:10.1080/1540496X.2023.2198085.
   Google Scholar
• Feng, G. F., H. Long, H. J. Wang, and C. P. Chang. 2022a. Environmental, social and governance, corporate social responsibility, and stock returns: What are the short- and long-Run relationships?. Corporate Social Responsibility & Environmental Management 29 (5). doi:10.1002/csr.2334.
   Web of Science ®Google Scholar
• Feng, G., P. Niu, J. Wang, and J. Liu. 2022b. Capital market liberalization and green innovation for sustainability: Evidence from china. Economic Analysis & Policy 75:610–23. doi:10.1016/j.eap.2022.06.009.
   Web of Science ®Google Scholar
• Frey, C. B., and M. A. Osborne. 2017. The future of employment: How susceptible are jobs to computerisation? Technological Forecasting & Social Change 114:254–80. doi:10.1016/j.techfore.2016.08.019.
   Web of Science ®Google Scholar
• Fu, Q., Q. Gong, X. Zhao, and C. Chang. 2023b. The effects of international sanctions on green innovations. Technological and Economic Development of Economy 29 (1):141–64. doi:10.3846/tede.2022.17782.
   Web of Science ®Google Scholar
• Fu, Q., X. Zhao, and C.-P. Chang 2023a. Does ESG performance bring to enterprises' green innovation? Yes, evidence from 118 countries. Oeconomia Copernicana 14 (3):795–832. doi:10.24136/oc.2023.024.
   Web of Science ®Google Scholar
• Goldfarb, A., and C. Tucker. 2019. Digital economics. Journal of Economic Literature 57 (1):3–43. doi:10.1257/jel.20171452.
   Web of Science ®Google Scholar
• Gong, C., and V. Ribiere. 2021. Developing a unified definition of digital transformation. Technovation 102:102217. doi:10.1016/j.technovation.2020.102217.
   Web of Science ®Google Scholar
• Grossman, G. M., and E. Oberfield. 2022. The elusive explanation for the declining labor share. Annual Review of Economics 14 (1):93–124. doi:10.1146/annurev-economics-080921-103046.
   Google Scholar
• Holford, W. D. 2019. The future of human creative knowledge work within the digital economy. Futures 105:143–54. doi:10.1016/j.futures.2018.10.002.
   Web of Science ®Google Scholar
• Hua, C., and K. Wang. 2023. Multi-factor productivity growth with natural capital and undesirable output: A measurement for oecd and g20 countries. Innovation and Green Development 2 (2). doi:10.1016/j.igd.2023.100039.
   Google Scholar
• Jin, M., W. Shi, Y. Liu, X. Xu, and K. X. Li. 2022. Heterogeneous impact of high speed railway on income distribution: A case study in china. Socio-Economic Planning Sciences 79:101128. doi:10.1016/j.seps.2021.101128.
   Web of Science ®Google Scholar
• Karabarbounis, L., and B. Neiman. 2014. The global decline of the labor share*. Quarterly Journal of Economics 129 (1):61–103. doi:10.1093/qje/qjt032.
   Web of Science ®Google Scholar
• Kehrig, M., and N. Vincent. 2021. The micro-level anatomy of the labor share decline*. Quarterly Journal of Economics 136 (2):1031–87. doi:10.1093/qje/qjab002.
   Web of Science ®Google Scholar
• Kong, G., J. Huang, and S. Liu. 2022. Digital transformation and within-firm pay gap: Evidence from China. Emerging markets finance & trade ahead-of-print(ahead-of-print) 1–19. doi:10.1080/1540496X.2022.2149262.
   Google Scholar
• Krueger, A. B. 1999. Measuring labor’s share. The American Economic Review 89 (2):45–51. doi:10.1257/aer.89.2.45.
   Web of Science ®Google Scholar
• Lewbel, A. 1997. Constructing instruments for regressions with measurement error when no additional data are available, with an application to patents and R&D. Econometrica 65 (5):1201–13. doi:10.2307/2171884.
   Web of Science ®Google Scholar
• Li, S., G. Chang, and R. Zunong. 2023. Does regional digital economy development influence green investment?. Innovation and Green Development 2 (3). doi:10.1016/j.igd.2023.100053.
   Google Scholar
• Li, J., G. Wan, C. Wang, and X. Zhang. 2019. Which indicator of income distribution explains crime better? Evidence from china. China Economic Review 54:51–72. doi:10.1016/j.chieco.2018.10.008.
   Web of Science ®Google Scholar
• Liu, Y., M. Zheng, and W. Y. Shum. 2024. On the linkages between digital finance and real economy in china: A cointegration analysis. Innovation and Green Development 3 (1). doi:10.1016/j.igd.2023.100109.
   Google Scholar
• Londoño-Vélez, J. 2022. The impact of diversity on perceptions of income distribution and preferences for redistribution. Journal of Public Economics 214:104732. doi:10.1016/j.jpubeco.2022.104732.
   Web of Science ®Google Scholar
• Long, H., G. F. Feng, Q. Gong, and C. P. Chang. 2023. Esg performance and green innovation: An investigation based on quantile regression. Business Strategy and the Environment. doi:10.1002/bse.3410.
   Web of Science ®Google Scholar
• Luo, S., N. Yimamu, Y. Li, H. Wu, M. Irfan, and Y. Hao. 2022. Digitalization and sustainable development: How could digital economy development improve green innovation in china? Business Strategy and the Environment. doi:10.1002/bse.3223.
   Google Scholar
• Maggie Fu, X., Q. Bao, H. Xie, and X. Fu. 2021. Diffusion of industrial robotics and inclusive growth: Labour market evidence from cross country data. Journal of Business Research 122:670–84. doi:10.1016/j.jbusres.2020.05.051.
   Web of Science ®Google Scholar
• Manita, R., N. Elommal, P. Baudier, and L. Hikkerova. 2020. The digital transformation of external audit and its impact on corporate governance. Technological Forecasting & Social Change 150:119751. doi:10.1016/j.techfore.2019.119751.
   Web of Science ®Google Scholar
• Matisziw, T. C., A. T. Murray, and T. H. Grubesic. 2009. Exploring the vulnerability of network infrastructure to disruption. The Annals of Regional Science 43 (2):307–21. doi:10.1007/s00168-008-0235-x.
   Web of Science ®Google Scholar
• Mergel, I., N. Edelmann, and N. Haug. 2019. Defining digital transformation: Results from expert interviews. Government Information Quarterly 36 (4):101385. doi:10.1016/j.giq.2019.06.002.
   Web of Science ®Google Scholar
• Nambisan, S., M. Wright, and M. Feldman. 2019. The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy 48 (8):103773. doi:10.1016/j.respol.2019.03.018.
   Web of Science ®Google Scholar
• Nasir, M. H., and S. Zhang. 2024. Evaluating innovative factors of the global innovation index: A panel data approach. Innovation and Green Development 3 (1). doi:10.1016/j.igd.2023.100096.
   Google Scholar
• Novakova, L. 2020. The impact of technology development on the future of the labour market in the Slovak republic. Technology in Society 62:101256. doi:10.1016/j.techsoc.2020.101256.
   Web of Science ®Google Scholar
• Peng, Y., and C. Tao. 2022. Can digital transformation promote enterprise performance? —From the perspective of public policy and innovation. Journal of Innovation & Knowledge 7 (3):100198. doi:10.1016/j.jik.2022.100198.
   Web of Science ®Google Scholar
• Peng, X. Y., X. Y. Zou, X. X. Zhao, and C. P. Chang. 2023. Understanding the behavior of esg in both opec and non-opec countries? The implications for sustainable development reaching. Sustainable Development. doi:10.1002/sd.2748.
   Google Scholar
• Priyan, S., R. Matahen, D. Priyanshu, and M. Mouqdadi. 2024. Environmental strategies for a healthcare system with green technology investment and pandemic effects. Innovation and Green Development 3 (1). doi:10.1016/j.igd.2023.100113.
   Google Scholar
• Ren, Y., X. Zhang, and H. Chen. 2022. The impact of new energy enterprises’ digital transformation on their total factor productivity: Empirical evidence from china. Sustainability 14 (21):13928. doi:10.3390/su142113928.
   Web of Science ®Google Scholar
• Sturgeon, T. J. 2021. Upgrading strategies for the digital economy. Global Strategy Journal 11 (1):34–57. doi:10.1002/gsj.1364.
   Web of Science ®Google Scholar
• Tang, K., Z. Li, and C. He. 2023. Spatial distribution pattern and influencing factors of relative poverty in rural china. Innovation and Green Development 2 (1). doi:10.1016/j.igd.2022.100030.
   Google Scholar
• Verhoef, P. C., T. Broekhuizen, Y. Bart, A. Bhattacharya, J. Qi Dong, N. Fabian, and M. Haenlein. 2021. Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research 122:889–901. doi:10.1016/j.jbusres.2019.09.022.
   Web of Science ®Google Scholar
• Vial, G. 2019. Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems 28 (2):118–44. doi:10.1016/j.jsis.2019.01.003.
   Web of Science ®Google Scholar
• Wang, J., K. Dong, X. Dong, and F. Taghizadeh-Hesary. 2022. Assessing the digital economy and its carbon-mitigation effects: The case of china. Energy Economics 113:106198. doi:10.1016/j.eneco.2022.106198.
   Web of Science ®Google Scholar
• Wang, Q., G. Feng, H. Wang, and C. Chang. 2021. The impacts of democracy on innovation: Revisited evidence. Technovation 108:102333. doi:10.1016/j.technovation.2021.102333.
   Web of Science ®Google Scholar
• Wang, H., and K. Tang. 2023. Extreme climate, innovative ability and energy efficiency. Energy Economics 120:106586. doi:10.1016/j.eneco.2023.106586.
   Web of Science ®Google Scholar
• Wang, Q. J., H. J. Wang, G. F. Feng, and C. P. Chang. 2023. Impact of digital transformation on performance of environment, social, and governance: Empirical evidence from china. Business Ethics, the Environment & Responsibility 32 (4). doi:10.1111/beer.12573.
   Google Scholar
• Wen, J., H. Yin, C. Jang, H. Uchida, and C. Chang. 2023a. Does corruption hurt green innovation? Yes – global evidence from cross-validation. Technological Forecasting & Social Change 188:122313. doi:10.1016/j.techfore.2022.122313.
   Web of Science ®Google Scholar
• Wen, J., S. Zhang, and C. Chang. 2022. Legal origins and innovation: Global evidence. Technological Forecasting & Social Change 174:121216. doi:10.1016/j.techfore.2021.121216.
   Web of Science ®Google Scholar
• Wen, J., S. Zhang, C. Chang, D. F. Anugrah, and Y. Affandi. 2023b. Does climate vulnerability promote green investment under energy supply restriction?. Energy Economics 124:106790. doi:10.1016/j.eneco.2023.106790.
   Web of Science ®Google Scholar
• Yang, J., and S. Chen. 2023. Corporate financialization, digitalization and green innovation: A panel investigation on chinese listed firms. Innovation and Green Development 2 (3). doi:10.1016/j.igd.2023.100068.
   Google Scholar
• Yang, H. C., G. F. Feng, Q. Gong, and C. P. Chang. 2023. The impact of political competition on green innovation: A new insight into sustainable development. Sustainable Development 31 (5). doi:10.1002/sd.2620.
   Web of Science ®Google Scholar
• Yin, H., C. Chang, D. F. Anugrah, and I. Gunadi. 2023. Gender equality and central bank independence. Economic Analysis & Policy 78. doi:10.1016/j.eap.2023.04.006.
   Web of Science ®Google Scholar
• Yoo, I., and C. Yi. 2022. Economic innovation caused by digital transformation and impact on social systems. Sustainability 14 (5):2600. doi:10.3390/su14052600.
   Web of Science ®Google Scholar
• Zhang, F., L. Meng, W. Sun, and Y. Si. 2021. Information technology and the labor market in china. Economic Analysis & Policy 72:156–68. doi:10.1016/j.eap.2021.06.015.
   Web of Science ®Google Scholar
• Zhang, C., X. Tian, X. Yang, B. Xu, and Q. Li. 2023. The iron-out effect of digital economy: A discussion on gender wage rate discrimination for working hours. Journal of Business Research 156:113399. doi:10.1016/j.jbusres.2022.113399.
   Web of Science ®Google Scholar
• Zhang, S., C. Zhu, X. Li, X. Yu, and Q. Fang. 2022. Sectoral heterogeneity, industrial structure transformation, and changes in total labor income share. Technological Forecasting & Social Change 176:121509. doi:10.1016/j.techfore.2022.121509.
   Web of Science ®Google Scholar
• Zhao, X. X., J. Wen, X. Y. Zou, Q. J. Wang, and C. P. Chang. 2023. Strategies for the sustainable development of china in the post-epidemic era. Sustainable Development 31 (1). doi:10.1002/sd.2401.
   Web of Science ®Google Scholar
• Zheng, M., Q. Du, and Q. Wang. 2023b. Nexus between green finance and renewable energy development in china. Emerging Markets Finance & Trade 59 (4). doi:10.1080/1540496X.2022.2119811.
   Web of Science ®Google Scholar
• Zheng, M., G. Feng, and C. Chang. 2023a. Is green finance capable of promoting renewable energy technology? Empirical investigation for 64 economies worldwide. Oeconomia Copernicana 14 (2). doi:10.24136/oc.2023.013.
   Web of Science ®Google Scholar
• Zheng, M., and C. Y. Wong. 2024. The impact of digital economy on renewable energy development in china. Innovation and Green Development 3 (1). doi:10.1016/j.igd.2023.100094.
   Google Scholar