Where does Labor Mobility go -- An Empirical Study based on the Perspective of Land Transfer
- DOI
- 10.2991/ssmi-18.2019.92How to use a DOI?
- Keywords
- Logit model of conditional; Flow of urban land; Transferring labor force.
- Abstract
This paper studies the impact of urban land transfer on the flow of labor force by using the data from the questionnaire A of the National Survey on Health and Family Planning of Migrant Population in 2016, the China Urban Statistics Yearbook and the China State-owned Land Resources Statistics Yearbook. Estimated results show that, under the control of other conditions unchanged, urban land transfer has a significant role in promoting labor mobility. This paper argues that on the one hand, different types of urban land transfer provide more employment opportunities for migrant workers; on the other hand, urban land transfer provides better public services and convenient living conditions for migrant workers, alleviating the "crowding-out effect" caused by the growth of housing prices, thus attracting migrant labor mobility. Based on this, this paper argues that in dealing with the problem of future labor force gathering in big cities in China, local governments should properly arrange and deal with land transfer behavior, and formulate urban development strategy should conform to the population spatial distribution and urban system pattern formed by market economic forces.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tao Wang AU - Wenzhe Zhao PY - 2019/02 DA - 2019/02 TI - Where does Labor Mobility go -- An Empirical Study based on the Perspective of Land Transfer BT - Proceedings of the 2018 International Symposium on Social Science and Management Innovation (SSMI 2018) PB - Atlantis Press SP - 553 EP - 566 SN - 2352-5428 UR - https://doi.org/10.2991/ssmi-18.2019.92 DO - 10.2991/ssmi-18.2019.92 ID - Wang2019/02 ER -