Measuring the economic performance of transition economies: DEA-bootstrapping approach

被引:1
|
作者
Jaksic, Milena [1 ]
Srejovic, Ana Krstic [1 ]
Milanovic, Marina [1 ]
Mimovic, Predrag [1 ]
机构
[1] Univ Kragujevac, Fac Econ, Kragujevac, Serbia
关键词
National economy; Gross domestic product; Technical efficiency; DEA window analysis; DATA ENVELOPMENT ANALYSIS; MACROECONOMIC PERFORMANCE; EFFICIENCY; RANKING; ENERGY; ASIA; EU;
D O I
10.1108/JES-01-2023-0037
中图分类号
F [经济];
学科分类号
02 ;
摘要
PurposeThe paper analyzes the relative technical efficiency of the transition economies of the Western Balkans in the period 2007-2021, in comparison with the former countries with a socialist state system, today members of the European Union (EU), based on selected macroeconomic indicators and panel data.Design/methodology/approachData envelopment analysis (DEA), i.e. its extension, DEA Window analysis, is applied. Total technical efficiency, as a prerequisite of economic efficiency, is decomposed into pure technical efficiency (PTE) and scale efficiency (SE). Bootstrapping method and Mann-Whitney U test were used to check the robustness of the obtained results, i.e. efficiency values.FindingsThe results show that in 2020, all observed countries recorded a significant drop in economic efficiency as a result of a general, disproportionate drop in the value of selected macroeconomic variables, which occurred due to the global economic crisis and the slowdown in economic activity caused by the COVID-19 pandemic. This drop in efficiency was significantly greater in the former socialist states, now members of the European Union, which showed their greater sensitivity to global crises. None of the observed economies in the observed period was relatively efficient, that is, at the level of best practice, which occurred primarily as a consequence of the inefficiency of business conditions expressed in the economies of scale.Research limitations/implicationsThe main limitation of this study stems from the very nature of the concept of DEA efficiency, which is relative in nature. Also, the results and their interpretation are also significantly influenced by the choice of model variables, as shown by Labaj et al. (2013), as well as a small number of decision-making units (DMUs). The mentioned limitations prevent unambiguous interpretation and generalization of the obtained results.Practical implicationsThe study may be of importance to economic policy makers in macroeconomic decision-making. The application of the DEA concept in measuring the technical efficiency of national economies is a useful tool in the analysis of macroeconomic performance and a benchmarking approach for positioning and achieving competitive advantage on the international market.Originality/valueSince research of this type is very limited, the results of this study make a theoretical and empirical contribution to the literature, creating a basis for future research and reexamination. The application of the DEA concept in measuring the technical efficiency of national economies is a useful tool in the analysis of macroeconomic performance and a benchmarking approach for positioning and achieving competitive advantage in the international market.
引用
收藏
页码:238 / 260
页数:23
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