Huang Lizhen, Zhang Yixiang, Xu Xu
School of Mathematics and Physics, Wenzhou University, Wenzhou, 325035 Zhejiang People's Republic of China.
The University of Waikato Joint Institute at Zhejiang University City College, Zhejiang University City College, Hangzhou, 310000 Zhejiang People's Republic of China.
Environ Model Assess (Dordr). 2023;28(2):227-243. doi: 10.1007/s10666-022-09846-1. Epub 2022 Jul 20.
The traditional meaning of ecological efficiency generally considers only the ratio of economic output to environmental input. This paper expands the meaning and the evaluation system of ecological efficiency from the perspective of improving people's livelihoods. Not only are the discharge of wastewater, waste gas, and solid waste included in the undesired output, but the output index also takes full account of the overall development of the economy, innovation, society and the environment from the perspective of high-quality development. Under the assumption of variable returns to scale, a super-efficiency slack-based measure model based on the undesirable output and Malmquist index is introduced to measure the spatial and temporal variation of ecological efficiency of Zhejiang Province in China, and the panel Tobit method is used to study the key factors affecting ecological efficiency. The results include the four following findings: (1) In the past 12 years, the ecological efficiency of Zhejiang Province has steadily increased, except in 2019 and 2020, when seven cities in Zhejiang Province experienced a decline or near stagnation due to the impact of the economic slowdown and the COVID-19 epidemic. (2) The ecological efficiency of Zhejiang demonstrates a severe regional imbalance, showing a high level in the northeast and a low level in the southwest. (3) Malmquist index analysis shows that the improvement of ecological efficiency in Zhejiang Province has shifted from mainly relying on the dual drivers of pure technical efficiency and scale efficiency in the early stage to relying on technological progress in the later stage. (4) Tobit regression analysis shows that industrialization structure, Theil index, and traffic activity have a significant positive effect on ecological efficiency.
生态效率的传统意义通常仅考虑经济产出与环境投入的比率。本文从改善民生的角度扩展了生态效率的内涵和评价体系。不仅将废水、废气和固体废物的排放纳入非期望产出,产出指标还从高质量发展的角度充分考虑了经济、创新、社会和环境的全面发展。在规模报酬可变的假设下,引入基于非期望产出的超效率松弛测度模型和Malmquist指数来测度中国浙江省生态效率的时空变化,并运用面板Tobit方法研究影响生态效率的关键因素。结果有以下四点:(1)在过去12年中,浙江省的生态效率稳步提高,但在2019年和2020年除外,当时由于经济放缓和新冠疫情的影响,浙江省有七个城市出现了下降或近乎停滞的情况。(2)浙江省的生态效率呈现出严重的区域不平衡,东北部水平较高,西南部水平较低。(3)Malmquist指数分析表明,浙江省生态效率的提高已从早期主要依赖纯技术效率和规模效率的双重驱动,转变为后期依赖技术进步。(4)Tobit回归分析表明,产业结构、泰尔指数和交通活动对生态效率有显著的正向影响。