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Article

A Regret-Enhanced DEA Approach to Mapping Renewable Energy Efficiency in Asia’s Growth Economies

Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
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Algorithms 2025, 18(5), 297; https://doi.org/10.3390/a18050297
Submission received: 15 April 2025 / Revised: 15 May 2025 / Accepted: 19 May 2025 / Published: 20 May 2025

Abstract

Renewable energy (RE) is pivotal to achieving both environmental sustainability and long-term energy security, yet systematic evidence on the efficiency of RE investment across South and Southeast Asia remains sparse. This study introduces a rejoice–regret utility cross-efficiency DEA (RRUCE-DEA) framework that fuses conventional quantitative efficiency measurement with the behavioral insights of regret theory. Applying the model to 16 countries shows India as the benchmark for efficient RE investment allocation, followed closely by Pakistan and Indonesia. The Philippines, Malaysia, and Vietnam also post strong results, whereas Sri Lanka and Thailand reveal moderate performance with clear room for improvement. At the lower end of the spectrum, Cambodia, Myanmar, and Afghanistan encounter significant hurdles that must be overcome to achieve a successful clean energy transition. A sensitivity analysis further explores how variations in the regret aversion and rejoice–regret coefficients affect the RRUCE-DEA outcomes. The findings provide actionable guidance for policymakers and investors seeking to channel resources toward a cleaner, more sustainable regional energy portfolio.
Keywords: renewable energy; investment efficiency; cross-efficiency DEA; regret theory; South Asia; Southeast Asia renewable energy; investment efficiency; cross-efficiency DEA; regret theory; South Asia; Southeast Asia

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MDPI and ACS Style

Wang, C.-N.; Nhieu, N.-L.; Ye, Y.-C. A Regret-Enhanced DEA Approach to Mapping Renewable Energy Efficiency in Asia’s Growth Economies. Algorithms 2025, 18, 297. https://doi.org/10.3390/a18050297

AMA Style

Wang C-N, Nhieu N-L, Ye Y-C. A Regret-Enhanced DEA Approach to Mapping Renewable Energy Efficiency in Asia’s Growth Economies. Algorithms. 2025; 18(5):297. https://doi.org/10.3390/a18050297

Chicago/Turabian Style

Wang, Chia-Nan, Nhat-Luong Nhieu, and Yu-Cin Ye. 2025. "A Regret-Enhanced DEA Approach to Mapping Renewable Energy Efficiency in Asia’s Growth Economies" Algorithms 18, no. 5: 297. https://doi.org/10.3390/a18050297

APA Style

Wang, C.-N., Nhieu, N.-L., & Ye, Y.-C. (2025). A Regret-Enhanced DEA Approach to Mapping Renewable Energy Efficiency in Asia’s Growth Economies. Algorithms, 18(5), 297. https://doi.org/10.3390/a18050297

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