Identifying the impact factors of sustainable development efficiency: integrating environmental degradation, population density, industrial structure, GDP per capita, urbanization, and technology.

Abstract

To accomplish the high-quality development target in Yellow River Basin, the current study investigates the impact factors of the rural sustainable development efficiency in Yellow River Basin from the period of 1997 to 2017, by using Super efficiency Slack-based Measure, improved STIRPAT, and the OLS regression. The findings illustrate that rural sustainable development efficiency in Yellow River Basin is maintaining a fluctuating upward trend during the investigation. The impact factor analysis reveals that at the entire basin level, the population density and industrial structure have the greatest impact on rural sustainable development efficiency, while the technology level has the least impact. The industrial structure and GDP per capita negatively impacted rural sustainable development efficiency in the upper and middle basin, while they have non-significant positive impact in the lower basin. Besides, urbanization level inhibited rural sustainable development efficiency in upper basin (except middle basin and lower basin), and technology level has promotional effect in rural sustainable development efficiency at the entire basin as well as at the 3 sub-basins, while the influence effect is not significant in the lower basin. Therefore, these empirical results indicate that the impact effect of these factors exist spatial heterogeneity. Thus, decision-makers should consider this reality fully and make differential measures when they construct the development long-term strategies for rural sustainable development efficiency in yellow river basin.