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The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach

机译:欧盟跨国经济和环境效率评估:DEA和分位数回归方法的证据

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摘要

This article aims to estimate the efficiency of 26 different European Countries over 2001 and 2012 comparing their performance. Data Envelopment Analysis technique is used in a first step to evaluate the performance of each European country. The output-oriented model was used with two specifications (Variable and Constant Returns to Scale) including as inputs labour and capital productivity, the weight of fossil energy and the share of renewable energy in GDP (gross domestic product), being the output GDP per GHG (greenhouse gases) emissions. In a second step, the quantile regression technique was used, to explain different efficiency scores through variables as Environmental Taxes Revenues, Resources Productivity and Domestic Material Consumption. Results indicate that share of renewables and non-renewable energy sources are important to explain differences in emissions. They suggest a significant change in the trend of economic and environmental efficiency in European countries and put forward the high disparities existing among them. Policy recommendations point for the need of higher steps if the goal is to equal countries efficiency scores. Moreover, environmental tax revenue effects are negatively stronger in less efficient countries, whereas also exerting negative influence over those more eco-efficient. Transport taxes affect negatively more eco-efficient countries and positively less eco-efficient countries. Energy taxes only seem to positively influence the lower eco-efficient countries. There is also evidence for a negative premium of efficiency considering domestic materials consumption. Finally, resources productivity shows a positive and significant influence independently of the country technical eco-efficiency level. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文旨在通过比较2001年和2012年欧洲26个不同国家的绩效来估算其效率。第一步是使用数据包络分析技术来评估每个欧洲国家的绩效。以产出为导向的模型具有两种规格(可变和规模不变收益),包括劳动力和资本生产率,化石能源的权重和可再生能源在GDP(国内生产总值)中的比重作为投入,即人均产出GDP。温室气体排放量。第二步,使用分位数回归技术,通过环境税收入,资源生产率和国内物质消费等变量来解释不同的效率得分。结果表明,可再生能源和不可再生能源的份额对于解释排放差异很重要。他们提出了欧洲国家经济和环境效率趋势的重大变化,并提出了它们之间存在的巨大差距。政策建议指出,如果目标是等于国家效率得分,则需要采取更高的步骤。此外,在效率较低的国家,环境税收收入的负面影响更大,而对生态效率较高的国家则产生负面影响。运输税对生态效率较高的国家产生负面影响,对生态效率较高的国家造成负面影响。能源税似乎只对较低生态效率的国家产生积极影响。考虑到国内材料的消耗,还有证据表明效率的负溢价。最后,资源生产率显示出积极而重要的影响力,而与国家技术生态效率水平无关。 (C)2017 Elsevier Ltd.保留所有权利。

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