Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment - stochastic frontier analysis approach

被引：13

作者：

Vaninsky, Alexander ^{[1
]}

机构：

[1] CUNY Hostos Community Coll, Dept Math, Bronx, NY 10451 USA

来源：

ENERGY | 2010年 / 35卷 / 09期

关键词：

Environmental performance; Mathematical modeling; Data envelopment analysis; Stochastic frontier analysis; CO2; EMISSIONS; PRODUCTIVE EFFICIENCY; ENERGY-CONSUMPTION; DISTANCE FUNCTIONS; POWER-GENERATION; DEA; SFA; COUNTRIES; FIRMS; TECHNOLOGIES;

D O I：

10.1016/j.energy.2010.05.010

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The environmental performance of regions and largest economies of the world actually, the efficiency of their energy sectors is estimated for the period 2010-2030 by using forecasted values of main economic indicators. Two essentially different methodologies, data envelopment analysis and stochastic frontier analysis, are used to obtain upper and lower boundaries of the environmental efficiency index. Greenhouse gas emission per unit of area is used as a resulting indicator, with GDP, energy consumption, and population forming a background of comparable estimations. The dynamics of the upper and lower boundaries and their average is analyzed. Regions and national economies having low level or negative dynamics of environmental efficiency are determined. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：3657 / 3665

页数：9

共 57 条

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