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作者

Bing Kuang;Xinhai Lu;Jing Han;Xiangyu Fan;Jian Zuo

来源

HABITAT INTERNATIONAL,Vol.100,P.102103

语言

英文

关键字

Land management;Urbanization;Intensive use of urban land;Panel-data vector autoregressive model;China

作者单位

College of Public Administration, Central China Normal University, Wuhan, 430079, PR China;College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430074, PR China;School of Architecture and Built Environment, The University of Adelaide, Adelaide, 5001, Australia;College of Public Administration, Central China Normal University, Wuhan, 430079, PR China;College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430074, PR China;School of Architecture and Built Environment, The University of Adelaide, Adelaide, 5001, Australia

摘要

China's rapid urbanization and urban development has consumed a lot of land resources, which has attracted a great deal of both scholarly and social attention. However, the influence mechanism of urbanization on urban land consumption has not been yet fully investigated. This paper address this gap by proposing the term urban land consumption intensity (ULCI) and exploring the influence of urbanization on ULCI, based on the provincial panel data from 2000 to 2017 in China and the Panel-data Vector Autoregressive (PVAR) Model. The findings reveal that China's urbanization prompts the ULCI. However, this positive influence of urbanization on ULCI is not decisive. The change in the ULCI in China is mainly affected by its own impulse. This paper further analysis the decomposition results of urbanization, and finds that population urbanization (PU), economic urbanization (EU), spatial urbanization (SU) and social urbanization (SCU) can explain the change of ULCI in China to some extent. From the variance decomposition, EU has the largest contribution rate to the changes in ULCI, followed by SCU, SU, and PU. Policymakers should actively promote the coordinated development of different types of urbanization, and comprehensively evaluate the actual and optimal ULCI in different cities.