URBAN service diversity and labor mobility — Analysis Based on "meituan.com" big data and micro survey of floating population
Vol 3, Issue 1, 2022
VIEWS - 56 (Abstract)
Abstract
In the context of the new era, people's pursuit of a better life is becoming more and more prominent. The diversity and welfare of urban services will become an important support for attracting labor and optimizing talent structure. This paper uses the "meituan.com" life service classification and the 2017 China floating population dynamic monitoring survey (CMDS) data to study the impact of urban service diversity on labor mobility. The results show that the diversity of urban services will significantly reduce the willingness of migrant population to move out. For every 1% increase in the diversity of service categories, the average probability of labor migration will be reduced by about 3.5% 23%; The impact of urban service diversity has group differences. Younger and highly skilled groups are more sensitive, and the marginal effect can reach 4.5% 62% and 4 03%. Considering the adjustment effect and regional heterogeneity, the expansion analysis further found that the level of urban informatization and marketization has a positive amplification effect on the diversity of service categories to attract and retain talents, especially in the eastern region and large cities with a population of more than 5 million. This study provides policy enlightenment for urban talent attraction and labor competition.
Keywords
Full Text:
PDFReferences
1. Zhang Li, He Jing and Ma Runhong, 2017, how do house prices affect labor mobility, Economic research, No. 8, pp. 155 ~ 170.
2. Liang Wenquan, 2018, "if you don't live well, you don't consume: Why is the exclusion of foreign population not conducive to increasing the income of local population, Managing the world, No. 1, pp. 78 ~ 87 + 191 ~ 192.
3. Dahlberg,M. ,Eklof,M. ,Fredriksson,P. And Monseny,J. 2012. “Estimating Preferences for Local Public Services Using Migration Data”,Urban Studies,49( 2) : 319 ~336
4. Song Hong and Wu Maohua, 2020, "does high house prices lead to the outflow of regional high skilled human capital?", Financial research, No. 3, pp. 77-95.
5. Douglas,M. 1990. “Social Structure,Household Strategies,and the Cumulative Causation of Migration ”,Population Index,56( 1) : 3 ~26
6. Diamond,R. 2016. “The Determinants and Welfare Implications of US Workers' Diverging Location Choices by Skill: 1980 ~2000”,The American Economic Review,106( 3) : 479 ~524.
7. Lu Ming, Gao Hong and Sato Hong, 2012, urban scale and inclusive employment, China Social Sciences, No. 10, pp. 47 ~ 66 + 206.
8. Roca,J. And Puga,D. 2017. “Learning by Working in Big Cities”, the Review of Economic Studies, 84(1) : 106 ~142
9. Lee S 2010. “Ability Sorting and Consumer City” Journal of Urban Economics, 68(1): 20–33.
10. Glaeser,EL., Jed,K. And Albert,S. 2001. “Consumer City”, Journal of Economic Geography, 1(1) : 27 ~50
11. Melo,P. ,Graham,D. And Noland,R. 2009. “A Meta Analysis of Estimates of Urban Agglomeration Economies”, Regional Science and Urban Economics,39( 3) : 332 ~342
12. Sun weizeng, Zhang Xiaonan and Zheng Siqi, 2019, "air pollution and spatial mobility of labor force -- a study based on the employment location behavior of floating population", economic research, No. 11, pp. 102-117
13. Zhang Haifeng, Lin Xixi, Liang Ruobing and LAN Jiajun, 2019, "urban ecological civilization construction and new generation labor power flow -- a new perspective of labor resource competition", China industrial economy, No. 4, pp. 81-97.
14. Ma Shuang and Zhao Wenbo, 2019, "dialect diversity and income of floating population -- An Empirical Study Based on chfs", Economics (quarterly), No. 1, pp. 393 ~ 414.
15. Lu Yonggang and Zhang Kai, 2019, "geographical distance, dialect culture and spatial mobility of labor force", statistical research, No. 3, pp. 88-99.
16. Zhang Jipeng, Huang Jin, Wang Junhui and Huang Ju, 2020, "urban settlement threshold and labor return", economic research, No. 7, pp. 175-190.
17. Xia Yiran and Lu Ming, 2015, "three moves of Mencius and their mothers" between cities -- An Empirical Study on the impact of public services on labor flow ", management world, No. 10, pp. 78-90
18. He Wei, 2020, "the impact of public service provision on the choice of labor inflow places -- from the perspective of heterogeneous labor force", financial research, No. 3, pp. 101-118.
19. Han Feng and Li Yushuang, 2019, "industrial agglomeration, public service supply and urban scale expansion", economic research, No. 11, pp. 149-164.
20. Li Bing, Guo Dongmei and Liu Siqin, 2019, "urban scale, population structure and diversity of non tradable goods -- big data analysis based on" dianping.com ", economic research, No. 1, pp. 150-164.
21. Winters, J. And Li,Y. 2017. “Urbanization,Natural Amenities and Subjective Well Being: Evidence from US Counties”, Urban Studies, 54( 8) : 1956 ~1973.
22. Schiff, N. 2015. “Cities and Product Variety: Evidence from Restaurants”, Journal of Economic Geography, 15( 6) : 1085~1123
23. Zhou Yinggang, Meng Lina and Lu Qi, 2019, "who is squeezed out by high house prices? -- Based on the micro perspective of China's floating population", economic research, No. 9, pp. 106-122.
24. Zhang Cui, 2018, "what makes cities more conducive to entrepreneurship?", Economic research, No. 4, pp. 151 ~ 166.
25. Zhou Yinggang, Meng Lina and Lin Xueping, 2020, "urban inclusiveness and entrepreneurial choice of labor force -- a micro perspective based on floating population", finance and trade economy, No. 1, pp. 129-144
26. Donald,G. And Newey,W. 2001. “Choosing the Number of Instruments”,Econometrica,69( 5) : 1161 ~1191
Refbacks
- There are currently no refbacks.
