关键词: 工业绿色水资源, 拥塞效应, 要素投入

Abstract:

In view of the inadequacy of the analysis of green development and excessive input of factors in the traditional industrial water resources efficiency measurement, the concept of industrial green water input congestion was defined under the framework of total factor productivity, and the congestion level of industrial green water resources input in 30 provinces and regions in Chinese mainland (except for Tibet, Hong Kong and Macau) was evaluated from 2000 to 2018 by FGL model, and then the structural changes of congestion inefficiency and pure technology inefficiency were analyzed based on global inefficiency decomposition. Results showed that, congestion of water resources input was a common problem in green industrial development in various provinces and regions, and the national average level of congestion showed an inverted “U” shape, with a trend from low congestion to deepening dispersion. The congestion levels varied greatly between provinces and regions, and the provinces and regions with higher level of congestion were mainly distributed in the Northeast Old Industrial Base and the central and western China. The nature of industrial green water resource input congestion could be seen as an imbalance in the allocation structure of input factors, while the growth rate of capital, labor, and industrial water resource input factors in the eastern China was relatively balanced, but there was a significant gap between the growth rate of capital input and other input factors in the central China, and the similar phenomena also appeared in the western China, where the growth rate of water resources input was higher than other input factors. So, the unbalanced input factor structure was an important cause of congestion. The overall global inefficiency was caused by the combination of pure technical inefficiency and congestion inefficiency, of which nearly 77% of provinces and regions were pure technical inefficiency. However, the existence and development trend of congestion inefficiency provided warning information that cannot be ignored for industrial resource allocation. Congestion inefficiency in Hebei, Liaoning, and Jiangsu in the eastern China, Jilin and Heilongjiang in the central China, and Xinjiang and Inner Mongolia in the western China should be adjusted urgently. Therefore, both industrial green transformation and water resources management needed to pay more attention to congestion issues.

Key words: industrial green water resources, congestion effect, factor input