The Spatial-Temporal Evolution Characteristics and Driving Factors of the Green Utilization Efficiency of Urban Land in China

Abstract

With the acceleration of urbanization, the urban land area of different spatial scales in China continues to increase, the urban land use efficiency is relatively low, and there are great regional differences. Land is an important material carrier for human production, life, and socio-economic activities. Reasonable measurement of the green utilization efficiency of urban land (Glande) has important theoretical and practical significance for the realization of urban land green use and the formulation of related policies. In this context, based on the publicly available data of 282 China’s cities at prefecture-level and above from 2009 to 2019, this study measures Glande with the Super-SBM data envelopment analysis model. After analyzing the spatio-temporal evolution characteristics of Glande, we employ the spatial dynamic Durbin model to analyze the spatial spillover effects. The results showed that: 1) Glande in China shows a fluctuating and rising trend, but it has not reached the effective state; 2) the agglomeration characteristics of urban land green use efficiency are significant, and from a regional point of view, it shows the pattern of western > eastern > central; 3) Glande is the result of the interaction of many factors. In the future, measures should be taken according to urban policies and local conditions, and differential measures should be taken to improve Glande.

Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China

“…It has been confirmed that under the constraint of considering traditional industrial pollution, there was a certain spatial spillover effect of the influencing factors of ULGUE [37,40]. The traditional regression models do not consider spatial correlations [80].…”

“…The choice of indicators for an urban capital stock indicates capital inputs and is relatively consistent. In the measurement of the economic output of urban land, most studies have chosen municipal GDP or secondary and tertiary industry GDP [37]. The selection of green space coverage and green space area is more common in the desired environmental output [38].…”

“…By measuring the city's economic level, policy context, and development status, the following indicators were constructed. In addition, the GDP per capita was chosen to represent the level of economic development as an influencing factor for ULGUE [37]. The higher the GDP per capita of a city, the stronger its economic output capacity, but it may also harm the environment in the development process.…”

Does environmental public interest litigation improve the urban land green use efficiency?—Evidence from a quasi-natural experiment in China

“…Land supports social development; its uses reflect an economy’s production scale and technological efficiency, and it determines the material environmental conditions of human life [ 21 ]. In recent years, it has been widely recognized that urban land use should not be limited to pursuing economic benefits but should include the environmental benefits generated by land use [ 8 ]. Green development and environmental governance cannot be separated from legal protection [ 22 ].…”

Spatial–temporal evolution and spatial spillover of the green efficiency of urban construction land in the Yangtze River Economic Belt, China

“…It is worth noting that although there were differences in various measurement methods, environmental pollution generated in the process of land use was regarded as an undesirable output. In terms of spatial–temporal pattern and dynamic evolution characteristics, based on the objective facts of regional differences in industrial policies and resource endowments, existing studies discussed the spatial–temporal pattern 22 , 28 , spatial correlation 26 , spatial agglomeration characteristics 20 , 28 and spatial heterogeneity 21 , 29 of the green use efficiency of urban land, the main purpose of this research is to grasp and predict the change trend of the green use efficiency of urban land. In terms of influencing factors, scholars investigated the impact of urban agglomeration construction 30 , smart city construction 23 , multi-center development 19 , economic development level and industrial structure upgrading 28 , 31 , land finance 32 , location-oriented policies 33 , low-carbon city pilot policies 34 , 35 , new urbanization 24 and other factors on the green use efficiency of urban land, the exploration of driving factors and hindering factors provides a reasonable solution for promoting improvement of GEUCL.…”