The impact of industrial labour productivity on regional income differences in China . 290 Yana V. Ostashova. Internationalization of the activities of Russian universities
https://doi.org/10.22394/2079-1690-2023-1-4-290-297
EDN: XEOMQY
Abstract
Since China’s reform and opening up, the eastern coastal areas have taken the lead in development, and formed significant regional development differences. One of the major reasons for the differences is the significant differences in industrial labour productivity between different regions. The purpose of this report is to examine the impact of industrial labour productivity on regional income differences, clarify its impact mechanism, and provide recommendations for regional coordinated development. This report adopted a combination of quantitative and qualitative analysis. It used a regression model to examine the impact of industrial labour productivity on regional income differences in China, and made qualitative analysis to explain the impact mechanism. Through relevant analysis, this report mainly concluded three findings. Firstly, there are significant differences in industrial labour productivity between regions in China. Secondly, industrial labour productivity is proved to be an important factor affecting regional income differences in China. Thirdly, the Chinese government needs to narrow the gap in regional industrial labour productivity from multiple aspects, such as increasing human capital, strengthening technological innovation, optimising the market and institutional environment, improving the incentive mechanism, etc.
The research significance of this report lies in verifying the impact of China’s industrial labour productivity on regional income differences, and deeply analysing its impact mechanism.
This has important policy implications for narrowing regional income differences in China.
About the Author
Shi YongjingRussian Federation
Shi Yongjing, Postgraduate
Faculty of Economics
Rostov-on-Don
References
1. Long, C., Zhang, X. Spatial polarization or convergence? New evidence of regional inequality in post-reform China. China Economic Review. 2022, 73:101812. doi: 10.1016/j.chieco.2021.101812
2. Diao, X., McMillan, M., Rodrik, D. The recent growth boom in developing economies: A structural-change perspective. In: The Palgrave Handbook of Development Economics. Palgrave Macmillan. 2019:281-324.
3. CEIC Data. China Labour Productivity Growth 1953 - 2022. 2023. Accessed July 23, 2023. https://www.ceicdata.com/en/indicator/china/labour-productivity-growth
4. NBSC. China Statistical Yearbook 2022. 2023a. Accessed May 17, 2023. http://www.stats.gov.cn/sj/ndsj/2022/indexeh.htm
5. NBSC. Statistical Bulletin on National Economic and Social Development of the People’s Republic of China in 2022. 2023b. Accessed July 22, 2023. https://mp.weixin.qq.com/s?__biz=MjM5Njg5MjAwMg==&mid=2651527489&idx=1&sn=ab6af7cfde0cd4ca89e2072938179e63&scene=0
6. Salimova, G., Ableeva, A., Galimova, A., Bakirova, R., Lubova, T., Sharafutdinov, A., Araslanbaev, I. Recent trends in labor productivity. Employee Relation. 2022, 44(4):785-802. doi:10.1108/ER-03-2021-0111
7. Chen, A.P., Groenewold, N. China’s Growth Slowdown: Labor Supply, Productivity, or What? Frontiers of Economics in China. 2021, 16(1):35-66. doi: 10.3868/s060-013-021-0003-4
8. Sun, Q., Zhang, W., Li, G. Industrial linkages, technology diffusion and productivity: Evidence from Chinese manufacturing firms. China Economic Review. 2021, 68:101607. doi: 10.1016/j.chieco.2020.101607
9. Liu, C., Luo, X., Zhang, J. Industrial linkages, technology diffusion and productivity: Evidence from China. China Economic Review. 2022, 71:101798. doi:10.1016/j.chieco.2021.101798
10. Wang, C., Zhang, J., Xiong, W., Xiong, Y. Industrial green transformation efficiency and influencing factors in China-Based on a three-stage DEA model. Journal of Cleaner Production, 2020, 249:119334. doi: 10.1016/j.jclepro.2019.119334
11. Zhang, C., Zou, H. Fiscal decentralization, industrial upgrading, and regional disparity in China. China Economic Review. 2021, 69:101630. doi:10.1016/j.chieco.2021.101630
12. Lee, J.W., Wie, D. Technological change, skill demand, and production costs: Evidence from the US manufacturing sector. Journal of Macroeconomics. 2021, 68:103289. doi:10.2139/ssrn.2245380
13. Calvino F., Virgillito M.E. The innovation-employment nexus: a critical survey of theory and empirics. Journal of Economic Surveys. 2018, 32(1):83-117. doi: 10.1111/joes.12190
14. Ansari J.A.N., Kant R., Yu Z. Institutions and global value chain participation: The contingent role of democratic institutions. Journal of International Management. 2022, 28(1):100833. doi:10.1016/j.intman.2021.100833
15. Lazear, E.P. Compensation and incentives in the workplace. Journal of Economic Perspectives. 2018, 32(3):195-214. doi: 10.1257/jep.32.3.195
16. Mao, J., Tang, S.P., Xiao, Z.G., Zhi, Q. Industrial policy intensity, technological change, and productivity growth: Evidence from China. Research Policy, 2021, 50(7):104287. doi: 10.1016/j.respol.2021.104287
Review
For citations:
Yongjing Sh. The impact of industrial labour productivity on regional income differences in China . 290 Yana V. Ostashova. Internationalization of the activities of Russian universities. State and municipal management. Scholar notes. 2023;(4):290-297. https://doi.org/10.22394/2079-1690-2023-1-4-290-297. EDN: XEOMQY






















