Urban Industrial Land Misallocation and Green Total Factor Productivity: Evidence from China’s Yellow River Basin Regions

Lei Nie, Zhenzhen Ren, Yanrui Wu and Qizhou Luo
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Lei Nie: Cooperative Innovation Center for Transition of Resource-based Economies and Research Institute of Resource-based Economic Transformation and Development, Shanxi University of Finance and Economics, Taiyuan, China
Zhenzhen Ren: Research Institute of Resource-based Economic Transformation and Development, Shanxi University of Finance and Economics, Taiyuan, China
Yanrui Wu: Department of Economics, University of Western Australia, Perth, Australia, http://www.web.uwa.edu.au/person/yanrui.wu
Qizhou Luo: Department of Economics, University of Nevada, Reno, USA

No 24-05, Economics Discussion / Working Papers from The University of Western Australia, Department of Economics

Abstract: This study aims to investigate the repercussions of urban industrial land misallocation on green total factor productivity within the context of China’s Yellow River Basin regions. Utilizing data from 99 prefecture-level cities over the period from 2007 to 2020, the analysis reveals that the misallocation of urban industrial land exhibits regional variations and exerts a significant and persistent negative influence on green total factor productivity, with notable regional disparities. Further analysis shows the mechanism of this effect is the obstacle to urban innovation due to industrial land misallocation. In addition, education expenditure plays a moderating role both directly and indirectly. These findings imply the need to continuously improve the performance evaluation and financial system of local governments, reduce government intervention and make use of the market mechanism in the allocation of urban industrial land.

Keywords: industrial land misallocation; green total factor productivity; moderated mediation model; China (search for similar items in EconPapers)
Pages: 40
Date: 2024
New Economics Papers: this item is included in nep-cna and nep-eff
Note: MD5 = 806fc99e4d7301250aa2c97be0079647
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