Spatio-temporal Differentiation and Driving Factors of Industrial Ecology of Restricted Development Zone from Adaptive Perspective: A Case Study of Shandong, China

• Published in: Chinese geographical science 2021-04, Vol.31 (2), p.329-341
• Main Authors: Guo, Fuyou, Gao, Siqi, Tong, Lianjun, Qiu, Fangdao, Yan, Hengzhou
• Format: Article
• Language: English
• Subjects: Coastal zone; Earth and Environmental Science; Ecology; Economic development; Environmental regulations; Geography
• ISSN: 1002-0063; 1993-064X
• DOI: 10.1007/s11769-021-1184-x

Based on the adaptive analysis paradigm, this paper constructs an evaluation index system and an evaluation model of the level of industrial ecology of a restricted development zone from the perspective of the industrial system and of the environmental system, and studies the spatial-temporal differentiation characteristics and the driving factors of the level of industrial ecology of the restricted development zone of the Shandong Province, China, by using a variety of measurement methods. The results show that: 1) In the temporal dimension, the level of industrial ecology of the research area increased from 2005 to 2017, while in the regional dimension, it was higher in the eastern coastal areas, followed by the northwestern area and the southwestern area; 2) In the spatial dimension, from 2005 to 2017 the level of industrial ecology of the research area had a clear spatial dependence, and the regional spatial agglomeration of the restricted development zones with similar industrial ecology levels become increasingly evident; 3) On the whole, the industrial ecology level in the study area had a clear spatial differentiation pattern, as it was higher in the north and in the east and lower in the south and in the west. Moreover, its evolution model changed from a ‘three-core driven model’ to a ‘spatial scattered mosaic distribution model’, and then to a ‘single-core driven model’; 4) Industrial ecology was positively correlated with economic development, foreign investment, science and technology, and negatively correlated with the government role, while industrial structure and environmental regulation failed to pass the statistical significance test.