This paper calculated and compared the before-and-after results of efficiency of town sewage treatment by using three-stage DEA Model to eliminate the effects of environmental factors and random error. The results show that such environmental factors as economy, society and water resources endowment could influence greatly the investment efficiency of town sewage treatment and overestimate the comprehensive technical efficiency of sewage treatment. At present, the comprehensive technical efficiency level of town sewage treatment in China was rather low, only at 0.797. And among the east, middle and west regions, the comprehensive technical efficiency of east region and middle region was higher than that of the west region. From the perspective of pure technical efficiency and scale efficiency, most provinces in China were at the stage of low-high type, indicating the phenomena of backward management technology, redundant scale and low treatment rate of sewage which yield to the investment efficiency of sewage treatment. Therefore, it was necessary to increase the amount of sewage treatment and improved the construction of sewage treatment scale, as well as to enhance the management technology of sewage treatment.
高旭阔, 张迪. 考虑环境因素的城镇污水处理投资效率——基于三阶段DEA的方法[J]. 中国环境科学, 2018, 38(9): 3594-3600.
GAO Xu-kuo, ZHANG Di. Efficiency evaluation of the investment in urban sewage treatment via the three stage DEA method considering environmental factors. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(9): 3594-3600.
Fried, Lovell, Schmidt, et al. Accounting for Environment Effects and Statistical Noise in Data Envelopment Analysis[J]. Journal of Productivity Analysis, 2002(17):157-174.
[10]
Dennis AignerC A. Knox LovellPeter Schmidt. Formulation and estimation of stochastic frontier production function models[J]. Journal of Econometrics, 1977,6(1):21-37.