Article 2024

Flattening of government hierarchies and growth of farmers’ income

Journal of Asian Economics
Journal · Vol. 95 · Art. 101836
Abstract

Continuously raising farmers’ income is important for poverty reduction. In a multilevel government system, institutional arrangements can influence the role of grassroots governments in economic and social development. Based on the rural statistical data of 743 townships in Province A in central China from 2001 to 2012, we use the difference-in-differences (DID) approach to investigate the effect of the reform of flattening governmental hierarchy at the township level on increasing farmers’ income. We find that the reform of grassroots flattening hierarchies significantly promotes the growth of farmers’ income. Specifically, in the face of economic-assessment pressure from the higher-level government and the incentives of fiscal excess revenue in the reform, the township government will make full use of the greater administrative power and resources endowed by the reform to vigorously attract investment to increase the number of enterprises and provide farmers with more non-agricultural employment opportunities, thus raising their wage income. Moreover, this reform's income-increasing effect is more obvious in townships that are closer to the county seat and have more convenient transportation, a higher level of human capital, and a stronger ability to exercise administrative power. © 2024 Elsevier Inc.

Keywords

Author Keywords

Authority enlargement at township level Flattening of government hierarchies Grassroots government Growth of farmers’ income Non-agricultural employment

Index Keywords

Author Affiliations
School of Business, Xiangtan University, Xiangtan, Hunan, China
School of Economics and Finance, Xi'an Jiaotong University, Xi'an, Shaanxi, China
The Institute of Local Finance Research, Zhejiang University of Finance and Economics, Hangzhou, China, School of Public Finance and Taxation, Zhejiang University of Finance and Economics, Hangzhou, China
Shandong University, Jinan, Shandong, China, Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan, Shandong, China
Funding & Acknowledgements
National Natural Science Foundation of China, NSFC
Grant: 72303207
Funding text 1: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207) and the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205).; Funding text 2: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207), the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205) and the Shaanxi Provincial Philosophy and Social Science Research Special Project (Grant No. 2023HZ1693).
National Natural Science Foundation of China, NSFC
Funding text 1: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207) and the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205).; Funding text 2: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207), the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205) and the Shaanxi Provincial Philosophy and Social Science Research Special Project (Grant No. 2023HZ1693).
Postdoctoral Innovation Project of Shandong Province
Grant: 12120071310205
Funding text 1: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207) and the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205).; Funding text 2: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207), the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205) and the Shaanxi Provincial Philosophy and Social Science Research Special Project (Grant No. 2023HZ1693).
Postdoctoral Innovation Project of Shandong Province
Funding text 1: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207) and the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205).; Funding text 2: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207), the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205) and the Shaanxi Provincial Philosophy and Social Science Research Special Project (Grant No. 2023HZ1693).
Grant: 2023HZ1693
Funding text 1: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207) and the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205).; Funding text 2: This work was supported by the National Natural Science Foundation of China (Grant No. 72303207), the Postdoctoral Innovation Project of Shandong Province (Grant No. 12120071310205) and the Shaanxi Provincial Philosophy and Social Science Research Special Project (Grant No. 2023HZ1693).
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