Measuring Energy Efficiency and Exploring the Determinants of Energy Efficiency in Selected Economies of Asia

Authors

  • Muhammad Nadeem PhD Scholar, National College of Business Administration & Economics, Pakistan
  • Hafiz Ghulam Mujaddid Associate Research Fellow, Punjab Economic Research Institute, Pakistan
  • Nabila Asghar Assistant Professor, Department of Economics, University of the Punjab, Pakistan

DOI:

https://doi.org/10.26710/reads.v3i2.172

Keywords:

Energy Efficiency, DEA Double Bootstrap, s, Asia

Abstract

Purpose: There is widely recognition of the need to effectively consume the energy, particularly in energy deficient countries. The effective use of energy requires that one must know the current efficiency level, so appropriate measures may be taken to make the efficient use of energy. Present study in an attempt to measure the energy efficiency and determinants of energy efficiency in fourteen selected developing economies of Asia for the time period 2007 to 2013. DEA double bootstrap technique has been used for estimation purposes. The results of bias corrected energy efficiency indicate that there is not even a single economy that is fully energy efficient over the period under consideration. After measuring the energy efficiency, truncated regression analysis is utilized to find the determinants of energy efficiency. The results indicate that industrial share and per capita income have positive effect on energy efficiency, while corruption, political instability and voice and accountability have negative impact on energy efficiency. So there is dire need to control corruption, political stability needs to be resorted and voice and accountability system needs to be redefined.

References

Ang, B. W. (2006). Monitoring changes in economy-wide energy efficiency: from energy–GDP ratio to composite efficiency index. Energy Policy, 34(5), 574-582.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis.Management science, 30(9), 1078-1092.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.

Chilingerian, J. A. (1995). Evaluating physician efficiency in hospitals: A multivariate analysis of best practices. European Journal of Operational Research, 80(3), 548-574.

Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., &Battese, G. E. (2005). An introduction to efficiency and productivity analysis. Springer.

Fare, R., Grosskopf, S., & Lovell, C. K. (1985). The measurement of efficiency of production (Vol. 6). Springer Science & Business Media.

Fredriksson, P. G., Vollebergh, H. R., &Dijkgraaf, E. (2004). Corruption and energy efficiency in OECD countries: theory and evidence. Journal of Environmental Economics and management, 47(2), 207-231.

Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General),120(3), 253-290.

Geller, H., Harrington, P., Rosenfeld, A. H., Tanishima, S., &Unander, F. (2006). Polices for increasing energy efficiency: Thirty years of experience in OECD countries. Energy policy, 34(5), 556-573.

Honma, S., & Hu, J. L. (2008). Total-factor energy efficiency of regions in Japan. Energy Policy, 36(2), 821-833.

Hu, J. L., & Kao, C. H. (2007). Efficient energy-saving targets for APEC economies. Energy policy, 35(1), 373-382.

Hu, J. L., & Wang, S. C. (2006). Total-factor energy efficiency of regions in China. Energy policy, 34(17), 3206-3217.

Lee, C. C., & Chang, C. P. (2008). Energy consumption and economic growth in Asian economies: a more comprehensive analysis using panel data. Resource and energy Economics, 30(1), 50-65.

Mukherjee, K. (2008a). Energy use efficiency in the Indian manufacturing sector: an interstate analysis. Energy policy, 36(2), 662-672.

Mukherjee, K. (2008b). Energy use efficiency in US manufacturing: A nonparametric analysis. Energy Economics, 30(1), 76-96.

Ruggiero, J., & Vitaliano, D. F. (1999). Assessing the efficiency of public schools using data envelopment analysis and frontier regression.Contemporary Economic Policy, 17(3), 321.

Simar, L. and Wilson, P. (2000). Statistical Inference in Nonparametric Frontier Models: The State of the Art. Journal of Productivity Analysis, 13(1), 49-78.

Simar, L., & Wilson, P. W. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management science, 44(1), 49-61.

Simar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136(1), 31-64

Song, M. L., Zhang, L. L., Liu, W., & Fisher, R. (2013). Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data. Applied Energy, 112, 1049-1055.

Wei, C., Ni, J., & Shen, M. (2009). Empirical analysis of provincial energy efficiency in China. China & World Economy, 17(5), 88-103.

Zhang, X. P., Cheng, X. M., Yuan, J. H., & Gao, X. J. (2011). Total-factor energy efficiency in developing countries. Energy Policy, 39(2), 644-650.

Zhou, P., &Ang, B. W. (2008). Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy, 36(8), 2911-2916.

Zhou, P., Ang, B. W., &Poh, K. L. (2008). A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 189(1), 1-18.

Zhou, P., Ang, B. W., & Zhou, D. Q. (2012). Measuring economy-wide energy efficiency performance: a parametric frontier approach. Applied Energy, 90(1), 196-200.

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Published

2020-07-25

How to Cite

Muhammad Nadeem, Hafiz Ghulam Mujaddid, & Nabila Asghar. (2020). Measuring Energy Efficiency and Exploring the Determinants of Energy Efficiency in Selected Economies of Asia. Review of Economics and Development Studies, 3(2), 135-146. https://doi.org/10.26710/reads.v3i2.172