GEOGRAPHICAL RESEARCH ›› 2019, Vol. 38 ›› Issue (9): 2226-2238.doi: 10.11821/dlyj020180474

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Spatial-temporal pattern and influencing factors of industrial ecology in Shandong province: Based on panel data of 17 cities

GUO Fuyou1,TONG Lianjun2,LIU Zhigang1,ZHAO Haijie1,HOU Ailing1   

  1. 1. College of Geography and Tourism, Qufu Normal University, Rizhao 276800, Shandong, China
    2. Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun 130102, China
  • Received:2018-05-08 Revised:2018-09-05 Online:2019-09-20 Published:2019-09-11

Abstract:

This paper comprehensively constructs the performance evaluation index system of industrial ecology, and analyzes the industrial ecological level and its influencing factors of 17 cities in Shandong province by using a variety of measurement methods. The results show that: 1) The development of industrial ecology depends on the scale expansion and total growth of industrialization, and neglects the optimization and promotion of industrial structure and the lateral transfer feedback effect of economic factors, which will inevitably lead to the low efficiency of the resource allocation in the industrial environment system; 2) The level of industrial ecology is increasing, reflecting the development of industrial system and ecological environment system from antagonism to coordinated development, but its low growth rate shows that the process of light and clear industry is slow, and the way of improving the ecological quality of the regional industry is long and arduous; 3) Through the analysis of Global Moran’s I index, it is found that there is a relatively obvious spatial dependence of the industrial ecological level of various cities in Shandong province from 2005 to 2016. Among them, the industrial ecological level of Shandong is close to the spatial agglomeration from 2005 to 2008. And the regional spatial difference within this province with similar industrial ecological level is significant from 2009 to 2016, forming a spatial structure of the cross distribution between the high-value area and the low-value area of industrial ecology. Through the analysis of industrial ecological hotspots, it is found that the level of industrial ecology shows a strong tendency of spatial agglomerations, and the spatial patterns have significant difference that the eastern coastal belt are is always the hot spots while the western region, especially in southwestern parts, is always the cold spots; 4) Compared with the traditional OLS regression, the spatial econometric regression model has a better spatial correction effect. It is an inevitable choice to use the spatial econometric model to analyze the intensity of the industrial ecological factors. Through the spatial econometric regression model, it is found that the level of industrial ecology has obvious spatial autocorrelation, and the influencing factors of economic development level, industrial structure and foreign investment have obvious negative spillover effect, while those of government regulation and environmental regulation intensity have obvious positive spillover effects.

Key words: industrial ecology, spatial-temporal pattern, influencing factors, spatial econometrics method, Shandong province