Information Transmission Mechanism of Inequality of Opportunity and Effort on Settlement Intention

Author:

Gao JunjieORCID,Feng Lyubing,Yao Xianguo

Abstract

China is promoting sustainable economic development through urbanisation, but migrants’ low settlement intention has become an obstacle to the urbanisation process. The key leading to this problem is that the current economic system lacks an index with high information transparency to convey the characteristics of the destination city, so that migrants’ choice of settling city is a kind of act of chance. By referring to Roemer’s equality of opportunity theory, this paper takes the indexes of inequality of opportunity (IO) and inequality of effort (IE) of the destination as market signals representing the characteristics information of destination, innovatively proposes an information transmission mechanism to improve migrants’ settlement intention. According to the IO and IE of the destination, migrants can effectively identify the economic incentive modes and social characteristics of the destination city before migration, and then make an accurate judgment on the possibility of realizing income growth and social integration in the destination. The feasibility of this mechanism was verified by the data of China Labor-force Dynamics Survey (CLDS). The result indicates that IO and IE can indeed convey information about economic incentives of the destination and attract migrants to settle down there. In addition, IE can convey positive messages on two social characteristics of the destination, namely, promotion fairness and social network, while IO sends negative messages on both aspects. Cities that plan to expand their population scale can leverage this mechanism to optimise their IO and IE indexes, so as to attract migrants to settle down in the city.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3