Abstract
The contradiction between industrial economic development and the ecological environment in Northwest China is prominent, so the green transformation of industrial economy in this region is imperative. From the perspective of industrial ecology, this study uses economic and environmental statistics from Northwest China from 2006 to 2018 as well as the Krugman specialization index and entropy index methods to calculate the degree of different types of industrial agglomeration in Northwest China. The eco-efficiency of Northwest China is calculated by the global SBM-DDF model. On this basis, the stochastic effect panel tobit regression model is used to analyze the influence and mechanism of different types of industrial agglomeration on eco-efficiency in Northwest China. The results show that the concentration of specialization has a significantly negative effect on the eco-efficiency of Northwest China at the level of 1%. Excepting Ningxia, the eco-efficiency of other provinces has been improved with the decrease of industrial specialization. The influence of the related diversification agglomeration on the eco-efficiency in Northwest China shows a U curve. The degree of industrial correlation diversification in Qinghai and Ningxia is less than the critical value 1.45, whereas Shaanxi, Gansu, and Xinjiang have crossed the inflection point. The unrelated diversification agglomeration has a negative effect on the eco-efficiency of Northwest China at the level of 1%, and the degree of industrial independent diversification in Shaanxi Province has decreased slightly, which is beneficial to the improvement of eco-efficiency. By contrast, other provinces have increased considerably. The conclusion can provide a theoretical basis for industrial green transformation path selection and related policy formulation in Northwest China.
Highlights
The seven geographical regions of China include Northeast, North, East, Central, South, Southwest, and Northwest China, which is divided according to the administrative unit; the purpose of this division is to facilitate the statistics of social and economic indicators [1]
Through the likelihood ratio (LR) test, the results show the P-value is significant, so the random effect panel tobit model is used to analyze the eco-efficiency of industrial agglomeration and resource-based areas in Northwest China
Shaanxi and Xinjiang was higher than the critical value (1.45), which had a positive effect on eco-efficiency; Qinghai and Ningxia were still less than the critical value, which inhibited the improvement of eco-efficiency
Summary
The seven geographical regions of China include Northeast, North, East, Central, South, Southwest, and Northwest China, which is divided according to the administrative unit; the purpose of this division is to facilitate the statistics of social and economic indicators [1]. In the field of ment to realize the efficiency, stability, and sustainability of human production activities industrial ecology, a series of theories and methods have been developed Eco-efficiency is one of tems and natural ecosystems on enterprise, park, city, region, country, and global scales the most important quantitative analysis methods in the field of industrial ecology [16,17]. To explore effective ways to reduce the pressure caused by industrial activities on the ecological environment, achieving regional sustainable development is necessary [36]. New economic geography holds that industrial agglomeration, as a special form of industrial spatial organization in the process of economic and social development, is an important carrier of regional production activities and environmental governance [37].
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