How Do Institutional Arrangements Affect Corporate Social Mobility? Evidence from Construction Land Reduction

Jianglin Lu, Keqiang Wang and Hongmei Liu ()
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Jianglin Lu: School of Customs and Public Administration, Shanghai Customs College, Shanghai 201204, China
Keqiang Wang: School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China
Hongmei Liu: School of Finance and Business, Shanghai Normal University, Shanghai 200233, China

Sustainability, 2023, vol. 15, issue 23, 1-25

Abstract: Enhancing corporate social mobility is of great practical importance for improving economic dynamism. There are new institutional arrangements in place to optimize construction land structure, i.e., construction land reduction. The impact of institutional arrangements on corporate social mobility has not yet been explored in academia. There is also a lack of academic discussion on how to enhance corporate social mobility. This paper investigates the impact of institutional arrangements on corporate social mobility using construction land reduction as an example. The following findings are discussed: (1) Construction land reduction is an important institutional arrangement for solving problems of inefficiencies such as inefficient corporates, the transfer of inefficient construction land, spatial quotas’ allocation, and macro use conversion. (2) Construction land reduction significantly promotes corporate social mobility. (3) Compared to non-cadre residents, cadres perceive greater corporate social mobility. (4) Compared to planned incremental-type areas, planned decremental-type areas are the key areas for construction land reduction, which can free up more space for construction land and is more conducive to improving corporate social mobility. Accordingly, policy implications are proposed to improve construction land reduction policies and promote corporate social mobility.

Keywords: institutional arrangement; construction land reduction; corporate social mobility; land use structure optimization; ordered probit model; Shanghai; China; land use planning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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