Suggestions on Estimation and Reasonable Share of the Governmental Cost of the Citizenization of Rural Transfer Population

DOI

10.2991/assehr.k.200801.074How to use a DOI?

Keywords

Citizenization of rural transfer population, Cost borne by government, Cost estimation, Cost sharing

Abstract

In order to accurately estimate and reasonably share the cost of citizenization of the rural transfer population, the research method of empirical analysis and speculative analysis is adopted to study the cost of citizenization. The findings show that the cost borne by the government in 2018 was 10,400 yuan per capita annually, whereas in 10 years, the cost could be reduced to 8,300 yuan from the perspective of three main costs of compulsory education, housing security and urban management. Cost sharing should determine the goal of citizenization and the responsibility of the government, and clarify the current payment and future costs. It is suggested to establish a mechanism to link the increase of urban construction land with the decrease of collective construction land in rural area. It is also suggested to establish a distribution mechanism of land appreciation income, as well as a mechanism to link the debt limit of local governments with number of urbanized population. The research of cost estimation under the premise of a series of settings comes to a unique conclusion.

Copyright

© 2020, 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/).

Download article (PDF)

TY  - CONF
AU  - Hongyin Liu
AU  - Jian Guan
PY  - 2020
DA  - 2020/08/01
TI  - Suggestions on Estimation and Reasonable Share of the Governmental Cost of the Citizenization of Rural Transfer Population
BT  - Proceedings of the 2020 International Conference on Social Science, Economics and Education Research (SSEER 2020)
PB  - Atlantis Press
SP  - 309
EP  - 312
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200801.074
DO  - 10.2991/assehr.k.200801.074
ID  - Liu2020
ER  -