An Improved Inverse DEA for Assessing Economic Growth and Environmental Sustainability in OPEC Member Nations

Kelvin K. Orisaremi, Felix T. S. Chan () and Xiaowen Fu
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Kelvin K. Orisaremi: Department of Industrial and Systems Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Felix T. S. Chan: Department of Decision Sciences, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau
Xiaowen Fu: Department of Industrial and Systems Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

Mathematics, 2023, vol. 11, issue 23, 1-19

Abstract: Economic growth is essential for nations endowed with natural resources as it reflects how well those resources are utilized in an efficient and sustainable way. For instance, OPEC member nations, which hold a large proportion of the world’s oil and gas reserves, may require a frequent evaluation of economic growth patterns to ensure that the natural resources are best used. For this purpose, this study proposes an inverse data envelopment analysis model for assessing the optimal increase in input resources required for economic growth among OPEC member nations. In this context, economic growth is reflected in the GDP per capita, taking into account possible environmental degradation. Such a model is applied to the selected OPEC member nations, which suggests that in terms of increasing the GDP per capita, only one member was able to achieve the best efficiency (i.e., reaching the efficiency frontier), resulting in a hierarchy or dominance within the sample countries. The analysis results further identify the economic growth potential for each member country. For the case of Indonesia, the analysis suggests that further economic growth may be achieved for Indonesia without additional input resources. This calls for diversification of the nation’s economy or investment in other input resources. In addition, the overall results indicated that each member nation could increase its GDP per capita while experiencing minimal environmental degradation. Our analysis not only benchmarks the growth efficiency of countries, but also identifies opportunities for more efficient and sustainable growth.

Keywords: inverse DEA; economic growth; GDP per capita; growth potential; environmental degradation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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