Assessing sustainable economic development efficiency: A DEA approach

IF 2 Q3 MANAGEMENT
K. Sotiroski, Kovács Péter, Horvat Marcikić, O. Sedlak, Vuk Lakić, B. Radovanov
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Abstract

Background: Widely used in efficiency analysis, data envelopment analysis (DEA) found its use in country efficiency measurement concerning the achievement of desired values of macroeconomic indicators, most often the goals from the category of economic growth. Purpose: The objective of the paper is to examine the possibility of DEA application in sustainable development research. Methodology: The analysis was conducted using a non-oriented DEA model with variable return-to-scale in a group of 26 EU countries and Serbia, as a membership candidate. Four variables were used as input variables: inflation rate, unemployment rate, poverty rate and ecological footprint per capita. Three variables were used on the outputs side: inequality-adjusted human development index, GDP per capita and ecological deficit or reserve per capita. The annual data was collected for the time period of eight years, form 2010 until 2017. Findings: Results show that Finland is the only country efficient throughout the entire period. Average efficiency close to maximum was achieved by the Netherlands. Significant efficiency was achieved by Luxembourg, Germany and Sweden among countries that were EU members before 1995. Among other EU countries, Slovenia and Hungary achieved efficiency on a nearly maximum level. Also, efficient in more than half of the observed years were Cyprus and Romania. The most inefficient countries were the three Baltic countries: Lithuania, Latvia, and Estonia. Among the EU member countries before 1995, Italy and Portugal were the most inefficient. Concerning EU candidate Serbia, the efficiency achieved was generally close to average. Limitations: The performed analysis can answer the question of which country is the most efficient on the way to sustainability. However, the DEA method cannot show whether a country is developing absolutely sustainably or unsustainably, because DEA is a relative method and can only measure efficiency compared to the other units.
评估可持续经济发展效率:DEA方法
背景:在效率分析中广泛使用的数据包络分析(DEA)发现其用于国家效率测量,涉及实现宏观经济指标的期望值,最经常是经济增长类别的目标。目的:探讨DEA在可持续发展研究中应用的可能性。方法:采用非定向DEA模型,以26个欧盟国家和塞尔维亚作为候选国进行分析。四个变量作为输入变量:通货膨胀率、失业率、贫困率和人均生态足迹。产出方面使用了三个变量:经不平等调整的人类发展指数、人均国内总产值和生态赤字或人均储备。年度数据的收集时间为8年,从2010年到2017年。结果表明,芬兰是唯一一个在整个时期都有效的国家。荷兰的平均效率接近最高水平。在1995年以前的欧盟成员国中,卢森堡、德国和瑞典取得了显著的效率。在其他欧盟国家中,斯洛文尼亚和匈牙利的效率几乎达到了最高水平。此外,塞浦路斯和罗马尼亚在一半以上的观测年份中都是有效的。效率最低的国家是三个波罗的海国家:立陶宛、拉脱维亚和爱沙尼亚。在1995年以前的欧盟成员国中,意大利和葡萄牙是效率最低的。至于欧盟候选国塞尔维亚,所取得的效率大致接近平均水平。局限性:所进行的分析可以回答哪个国家在实现可持续性的道路上效率最高的问题。然而,DEA方法并不能表明一个国家的发展是绝对可持续的还是不可持续的,因为DEA是一种相对的方法,只能衡量与其他单位相比的效率。
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来源期刊
Strategic Management
Strategic Management MANAGEMENT-
自引率
8.30%
发文量
17
审稿时长
12 weeks
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