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Eco-efficiency evaluation model: a case study of the Yangtze River Economic Belt

机译：生态效率评估模型 - 以长江经济带的案例研究

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摘要

After the concept of ecological efficiency (eco-efficiency) was put forward and constantly supplemented, it generally refers to the maximization of economic benefits with minimum energy consumption and environmental damage. In a new eco-efficiency model proposed by this paper, the input indexes take into account the consumption of capital, human, resources and energy, and the environmental load caused by them. The output indexes take into account GDP, income, and tax revenue. An optimal weighted cross-evaluation efficiency (OWCE) model based on data standardization is proposed, by improving the traditional data envelopment models of CCR and BCC. The OWCE model not only objectively weights but also unifies the comparison scale, and facilitates the establishment of the super-efficiency decomposition model, which is conducive to further exploring the reasons for the difference of eco-efficiency in various regions. Empirically, the eco-efficiencies of 11 provinces (municipalities) along the Yangtze River Economic Belt (YREB) were analyzed based on the data from 2008 to 2019. The results show that there has been a serious imbalance in the 11 provinces, showing a trend of high in the east and low in the west, although the eco-efficiency has been improving continuously in the past 10 years. Shanghai, Zhejiang, and Jiangsu, which are located in the traditional Yangtze River lower delta region, are the top in terms of eco-efficiency, among which Shanghai ranks the first place with absolute advantage, and also is far ahead in sub-efficiencies of basic input, energy consumption, capital and human input, and environmental cost. Geographical location, especially whether it is close to the ocean, and the length of river flow have a certain positive impact on eco-efficiency. Through in-depth analysis, high-energy consumption, high pollution, and low economic output are the main reasons for low eco-efficiency in the middle and upper reaches of the Yangtze River.
机译：在生态效率（生态效率）的概念上提出并不断补充，它通常是指经济效益的最大化，具有最低能耗和环境损害。在本文提出的一种新的生态效率模型中，输入指标考虑了资本，人力，资源和能源的消费以及它们引起的环境负荷。输出索引考虑到GDP，收入和税收。通过改进CCR和BCC的传统数据包络模型，提出了基于数据标准化的最佳加权交叉评估效率（OWCE）模型。欧文模型不仅客观地重量，而且还统一了比较规模，并促进了建立超级效率分解模型，这有利于进一步探索各个地区生态效率差异的原因。根据2008年至2019年的数据分析了沿长江经济带（Yreb）的11个省（市）的生态效率。结果表明，在11个省份出现了严重的不平衡，表明了趋势在东部和西部的高位，虽然生态效率在过去的10年里一直在持续改善。上海，浙江和江苏位于传统的长江下层三角洲地区，是生态效率方面的顶级，其中上海排名第一，具有绝对优势的第一名，也远远领先于潜水效率基本投入，能源消耗，资本和人体投入，以及环境成本。地理位置，特别是靠近海洋，河流的长度对生态效率有一定的积极影响。通过深入分析，高能消耗，高污染和低经济产出是长江中上游生态效率低生态效率的主要原因。

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