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浙江大学学报(人文社会科学版)  2024, Vol. 54 Issue (5): 71-86    DOI: 10.3785/j.issn.1008-942X.CN33-6000/C.2023.11.221
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包容性视角下农业产业集群提升农民工居留意愿的路径研究
阮建青, 张雨薇
浙江大学 中国农村发展研究院,浙江 杭州 310058
Research on the Realization Path of Agro-industrial Clusters Enhancing Migrant Workers’ Settlement Willingness from the Perspective of Inclusiveness
Ruan Jianqing, Zhang Yuwei
China Academy for Rural Development, Zhejiang University ,Hangzhou 310058, China

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摘要 农民工在就业地的稳定居留是促进社会和谐发展的重要因素。利用2014—2018年中国流动人口动态监测调查数据(CMDS)和浙大卡特—企研中国涉农研究数据库(CCAD),研究发现,县域内农业产业集群的发展能增强农民工的居留意愿,且对低收入阶层的影响更为显著,具有很强的包容性。提高收入水平、创造就业机会以及优化金融服务是农业产业集群促进农民工在就业地居留的三种内在机制。同时,农业产业集群对农民工居留意愿的影响存在异质性,对低技能农民工居留意愿的增强效应更为明显。未来应着力依托县域打造优势特色农业产业集群,改善农民工的就业环境及享有的金融服务水平,引导农业转移人口有序融入城市。
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阮建青
张雨薇
关键词 农业产业集群农民工居留意愿包容性    
Abstract:The stable settlement of migrant workers in their employment locales is pivotal for fostering societal harmony. Our research utilizes the China Migrants Dynamic Survey (CMDS) for the years 2014-2018, supplemented by the 2013-2017 China Academy for Rural Development-Qiyan China Agri-research Database (CCAD), Zhejiang University. We construct a pooled cross section dataset spanning 2014-2018 to examine the influence of agro-industrial clusters on migrant workers’ residential preferences. Given that our dependent variable, the propensity to settle, is binary, logistic regression is predominantly employed in our analysis.Our baseline regression findings reveal a significant positive correlation between agro-industrial clusters and migrant workers’ willingness to reside in their place of employment. Specifically, a one standard deviation increase in the intensity of these clusters amplifies the likelihood of migrant workers opting to settle by 1.91 times. To address potential endogeneity arising from omitted variables, we utilize the early development of township enterprises as an instrumental variable, yielding conclusions consistent with our primary model.Additionally, this study employs various robustness checks, including substitution of core explanatory variables, contraction of core variable tests, model alternation, and correction for self-selection bias. The results affirm our baseline findings. Further, we delve into the mechanisms through which agro-industrial clusters influence migrant workers’ settlement decisions, identifying three pathways: enhancement of income levels, job creation, and optimization of financial services, marked by inclusivity. An analysis of heterogeneity among migrant workers based on skill level reveals that agro-industrial clusters exert a more pronounced effect on the settlement intentions of lower-skilled workers. The agro-industrial clusters is characterized by its inclusivity.Based on findings above, we put forward corresponding policy recommendations. In the future, efforts should be made to rely on counties to build advantageous and characteristic agricultural industrial clusters, improve the employment environment and the level of financial services enjoyed by migrant workers, and guide the orderly integration of agricultural migrants into the city. This paper contributes to the literature on the microeconomic implications of agro-industrial clusters, particularly concerning migrant workers’ settlement decisions. It bridges a gap in empirical research by synthesizing macroeconomic impacts of agro-industrial clusters with micro-level decision-making processes. Additionally, it sheds light on the underlying mechanisms driving these effects, namely income enhancement, job creation, and financial service optimization, thereby advancing the theory of inclusive growth. This research also introduces an innovative approach to data utilization. While existing studies on industrial clusters predominantly concentrate on provincial or municipal levels, this study acknowledges the critical role of counties in the development of specialized and advantageous agro-industrial clusters. A key data source utilized in this paper is CCAD. This comprehensive database encompasses various sub-databases, covering agriculture-related subjects, new-type agricultural operators, agriculture-related enterprises/self-employed individuals, and offers detailed regional statistics down to the county level. The indicators derived from this data more accurately represent the clustering degree of agricultural enterprises at the county level, providing a more precise and realistic analysis.
Key wordsagro-industrial clusters    migrant workers    willingness to settle    inclusiveness   
收稿日期: 2023-11-22     
基金资助:国家社科基金重大项目(2022&ZD080)
作者简介: 阮建青(https://orcid.org/0000-0002-4440-589X),男,浙江大学中国农村发展研究院教授,博士生导师,管理学博士,主要从事产业集群与农业发展等研究;张雨薇(https://orcid.org/0009-0001-4185-9490),女,浙江大学公共管理学院博士研究生,主要从事农业产业集群相关研究;
引用本文:   
阮建青, 张雨薇. 包容性视角下农业产业集群提升农民工居留意愿的路径研究[J]. 浙江大学学报(人文社会科学版), 2024, 54(5): 71-86. Ruan Jianqing, Zhang Yuwei. Research on the Realization Path of Agro-industrial Clusters Enhancing Migrant Workers’ Settlement Willingness from the Perspective of Inclusiveness. JOURNAL OF ZHEJIANG UNIVERSITY, 2024, 54(5): 71-86.
链接本文:  
https://www.zjujournals.com/soc/CN/10.3785/j.issn.1008-942X.CN33-6000/C.2023.11.221     或     https://www.zjujournals.com/soc/CN/Y2024/V54/I5/71
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