Evolution of the Spatiotemporal Pattern of Urban Industrial Land Use Efficiency in China

Xiaofeng Zhao, Lin Zhang, Xianjin Huang, Yuntai Zhao and Yunpeng Zhang
Additional contact information
Xiaofeng Zhao: Department of Land Resource Management, School of Public Administration, Hohai University, 8 W Focheng Road, Nanjing 211000, China
Lin Zhang: Department of Land Resource Management, School of Public Administration, Hohai University, 8 W Focheng Road, Nanjing 211000, China
Xianjin Huang: School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, China
Yuntai Zhao: China Land Surveying and Planning Institute, Beijing 100029, China
Yunpeng Zhang: School of Geomatics Engineering, Nanjing University of Technology, Nanjing 210009, China

Sustainability, 2018, vol. 10, issue 7, 1-12

Abstract: Along with the globally increasing concern for environmental sustainability, improving urban industrial land use efficiency (UILUE) is critically important for China’s development trajectory. However, the existent studies on UILUE in China are mainly conducted at the provincial level, which significantly undermines their value for tailoring practical policy formulations for lower-level governments. To fill this gap, this paper aims to investigate the spatial and temporal pattern of UILUE in China at the prefectural level, examining the underpinning influential factors for the period 2000–2014. Employing the means of spatial autocorrelation and regression, it is found that UILUE in China has improved significantly over the past decade in general but is also accompanied by significant spatial variations. UILUE is positively related to the agglomeration of industries, labour, capital, and technology, in which technology has fundamental effects upon the other factors. It is suggested to policy makers that government policy interventions should be placed predominantly upon technology regulation, i.e., setting admittance criterion for foreign direct investment (FDI), and industrial investment. For future studies, consistent efforts ought to be exerted to examine UILUE at and even under the prefectural level to achieve better understanding among academics and policy practitioners.

Keywords: industrial land; efficiency; spatial pattern; spatial regression analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/7/2174/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/7/2174/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:7:p:2174-:d:154450

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().