Spatial Differences in and Influences upon the Sustainable Development Level of the Yangtze River Delta Urban Agglomeration in China
Mingdou Zhang, Hang Xiao, Dongqi Sun, Yu Li
Abstract
Open-access reader
Mingdou Zhang, Hang Xiao, Dongqi Sun, Yu Li
Abstract
Open-access reader
Based on new data from 2006–2015, we used the entropy method and panel data regression to analyze the spatial difference and influences on the level of sustainable development within China’s Yangtze River Delta urban agglomeration. The main findings are: (1) During the 2006–2015 period, the sustainable development level of the Yangtze River Delta urban agglomeration was generally low, with 69% of its cities in a phase of low-level sustainable development; however, notable spatial variation in the levels of urban sustainable development occurred mainly along the “Hu-Ning-He-Hang-Yong development belt”, with a spatial distribution that was “high in the middle and low on all sides”. (2) The industrial structure, export dependence, and land-use efficiency all had positive impacts, whereas economic growth had a negative impact, on the sustainable development level of the Yangtze River Delta urban agglomeration. (3) For the super large city, export dependence positively impacted the urban sustainable development level; for the large city, both export dependence and land-use efficiency had a positive influence, while the regulation of government had a negative influence on the urban sustainable development level; for the medium-sized city, export dependence and land-use efficiency positively influenced the urban sustainable development level, but economic growth and the regulation by government negatively influenced it.
OpenAlex reports 22 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Based on new data from 2006–2015, we used the entropy method and panel data regression to analyze the spatial difference and influences on the level of sustainable development within China’s Yangtze River Delta urban agglomeration. The main findings are: (1) During the 2006–2015 period, the sustainable development level of the Yangtze River Delta urban agglomeration was generally low, with 69% of its cities in a phase of low-level sustainable development; however, notable spatial variation in the levels of urban sustainable development occurred mainly along the “Hu-Ning-He-Hang-Yong development belt”, with a spatial distribution that was “high in the middle and low on all sides”. (2) The industrial structure, export dependence, and land-use efficiency all had positive impacts, whereas economic growth had a negative impact, on the sustainable development level of the Yangtze River Delta urban agglomeration. (3) For the super large city, export dependence positively impacted the urban sustainable development level; for the large city, both export dependence and land-use efficiency had a positive influence, while the regulation of government had a negative influence on the urban sustainable development level; for the medium-sized city, export dependence and land-use efficiency positively influenced the urban sustainable development level, but economic growth and the regulation by government negatively influenced it.
Key concepts: Sustainable development, China, Urban agglomeration, Delta, Panel data, Yangtze river, Economies of agglomeration, Economic geography