Migration choices for farming households in rural areas: Why new countryside locations are important for the inhabitants of traditional agricultural areas in central China

Author:

Shen Haojing1ORCID,Song Yan2,Shan Zhengying3

Affiliation:

1. Department of Public Policy and Management University of Science and Technology Beijing Beijing China

2. Department of City and Regional Planning University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

3. Department of Geography University of Wisconsin‐Madison Madison Wisconsin USA

Abstract

AbstractIn the urbanisation stage of bilateral urban–rural interaction, China is adopting various policies to achieve rural revitalisation and provide diverse destinations to which farmers can migrate. Most previous studies have focused on urban destinations; thus, new countryside locations are not as well understood in this context. This study focused on first migration practices to examine new countryside destinations for farmers in China. This study established a conceptual framework to explain the diverse migration destination options based on three aspects: human capital, economic characteristics, and social characteristics. Based on survey data from farming households in a traditional agriculture area in Xinxiang, a multiple logit model was used to examine why new countryside destinations were adaptive first migration destinations. The results indicated that farmers were influenced by land capital and low initial household incomes. Specifically, many farmers were attracted to new countryside locations close to their original villages because of the need for cultivated land and farming, thus providing a logical first move in the rural–urban migration process. Poorer households were willing to first improve their living conditions in this way. This suggests that new countryside construction can help achieve rural revitalisation.

Publisher

Wiley

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