Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

December 12, 2022


Pages

2477-2490


DOI

Article

Influence of heterogeneity of local officials on the economy of resource-based cities developed with high quality

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Authors

Yifan Liu Affiliation:
Institute of Petroleum Economics and Management, Northeast Petroleum University, Daqing, Heilongjiang 163318, China
and Zhihong Zhu Affiliation:
Institute of Petroleum Economics and Management, Northeast Petroleum University, Daqing, Heilongjiang 163318, China


Abstract

Based on 2010–2019 panel data of 111 city regional resources, the SBM model is used to empirically explore the internal connection among the heterogeneity of local officials and the economy of resource-based cities developed with high quality. The results of the application study showed that the age of local officials was negatively related to the economy of resource-based cities developed with high quality. When they first took office, the tenure of local officials was positively related to the economy of resource-based cities developed with high quality. Local officials with higher education are positively associated with the economy of resource-based cities developed with high quality. Local promotion of government officeholders can promote the quality of regional economic development more than those transferred from other regions. In order to promote the high-quality economic development of resource-based cities, we should first pay attention to the severance evaluation system of senior officeholders, secondly improve the education level of officeholders, arrange reasonable transfer methods and finally implement the limited-term system.


Keywords

Official heterogeneity, High-quality economic development, Resource-based cities


Citation

Liu, Y. & Zhu, Z. (2021). Influence of heterogeneity of local officials on the economy of resource-based cities developed with high quality. Applied Mathematics and Nonlinear Sciences, 6(2), 2477–2490. https://doi.org/10.2478/amns.2021.2.00313
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