Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty

Junqian Wu, Xiaoqian Liu, Jianqing Ruan, Xiulin Qi, Chang’an Wang and Dan Fan
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Junqian Wu: China Western Economic Research Center, Southwestern University of Finance and Economics, Chengdu 610074, China
Xiaoqian Liu: Research Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu 610074, China
Jianqing Ruan: School of Public Affairs, Zhejiang University, Hangzhou 310058, China
Xiulin Qi: Business School, Zhengzhou University, Zhengzhou 450001, China
Chang’an Wang: Research Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu 610074, China
Dan Fan: China Western Economic Research Center, Southwestern University of Finance and Economics, Chengdu 610074, China

IJERPH, 2021, vol. 18, issue 20, 1-13

Abstract: Poverty seriously hinders the inclusive development of mankind and is closely related to economic growth, ecological protection, ecological restoration and sustainable use of resources. Based on the data of economic census and rural fixed observation point, a spatial econometric model is established to test the direct impact and spatial spillover effect of industrial clusters on rural poverty alleviation. The result of household-level is that the number of industrial clusters has a negative effect on poverty, namely the farmers who live in the county with more industrial clusters, may be less likely to become the poor. The number of industrial clusters in other regions also has a negative effect on poverty. By dividing farmers into the poverty and non-poverty group, the study finds that, for the poverty group, the number of industrial clusters has a positive direct and spillover effect on farmers’ income. For the non-poverty group, the number of local industrial clusters has a positive direct effect on farmers’ income, but the number of industrial clusters in other regions does not have any effects or has a negative direct effect on farmers’ income. By classifying the industries, the study discovers that the labor-intensive industrial clusters, such as textiles, manufacture and processing of machinery parts and paper industries, have a positive effect on farmers’ income.

Keywords: inclusive development; industrial clusters; farmer’s income; anti-poverty (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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