根据多标准方法确定西班牙城市可持续发展评估的关键指标

Ricardo Rebolledo-Leiva , Leonardo Vásquez-Ibarra , Gumersindo Feijoo , María Teresa Moreira , Sara González-García
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引用次数: 1

摘要

在20世纪下半叶,世界人口的行为发生了巨大的变化:人口增长非常迅速,寿命更长,最好搬到城市地区。人口向城市迁移是一个特别关注的问题,因为它不仅会带来社会经济发展,还会引发不同的经济、社会和环境问题。如何评估城市的可持续发展,并确定可持续性方面最具代表性的方面,已成为有效规划和政府政策的一项重要挑战。然而,当数据包络分析(DEA)被用于可持续性评估时,指标的选择几乎没有得到解决。本文旨在确定确定一组城市可持续发展生态效率绩效的关键指标。为此,提出了变量选择方法和DEA模型的联合使用,并将其应用于31个西班牙城市。所获得的结果确定了五个社会指标(贫困风险人口百分比、登记的性别暴力案件数量、人口密度)、五个经济指标(平均家庭收入、每平方米平均租金、人均国内生产总值、公共/私人车辆比率、负债)和三个环境指标(臭氧、NO2、PM10)用于评估。此外,有14个西班牙城市被认为没有生态效率,并提出了实现生态效率水平的目标。政策制定者可以主要关注非生态高效城市的社会和经济方面,例如关注人口贫困风险、地方政府债务、平均租金和二氧化氮排放。
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Determining key indicators for the assessment of sustainable development in Spanish cities under a multi-criteria approach

In the second half of the 20th century, the behaviour of the world's population has undergone drastic changes: it has grown very rapidly, become longer-lived and moved preferably to urban areas. Migration of populations to cities has a special focus because it not only generates socio-economic development, but also causes different economic, social, and environmental issues. How to assess the sustainable development of cities and identify the most representative aspects of sustainability dimensions has become an essential challenge for effective planning and government policies. However, the selection of indicators has scarcely been addressed when Data Envelopment Analysis (DEA) has been used for sustainability assessment. This paper aims to identify the key indicators to determine the eco-efficient performance towards a sustainable development of a set of cities. For this purpose, the joint use of a variable selection method and a DEA model is proposed and applied to a set of 31 Spanish cities. The results obtained identified five social (population percentage at risk of poverty, number of registered gender violence cases, population density), five economic (average household income, average rental price per m2, gross domestic product per capita, public/private vehicle ratio, indebtedness), and three environmental (ozone, NO2, PM10) indicators for the assessment. Moreover, 14 Spanish cities were considered non-eco-efficient, and targets to achieve eco-efficient levels were proposed. Policy makers could focus primarily on the social and economic aspects of non-eco-efficient cities, paying attention, for example, to the risk of poverty of the population, indebtedness of local governments, average rental price and NO2 emissions.

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