Abstract
The aim of this chapter is to apply an extended DEA model – emerging from a blend of a distance friction minimization (DFM) and a Target-Oriented (TO) approach based on a Super-Efficiency (SE) model – for generating an appropriate efficiency-improvement projection model. The DFM model is able to calculate an optimal input reduction value and an optimal output increase value in order to reach an efficiency score of 1.0, even though in reality this may be hard to achieve for low-efficiency DMUs. In contrast, high-efficiency DMUs might find it easier to reach an efficiency score of 1.0 or, in the case of a Super-Efficiency DEA, a score above 1.0. The TO approach specifies a Target-Efficiency Score (TES) for inefficient DMUs. This approach can compute an input reduction value and an output increase value in order to achieve a higher TES. The abovementioned TO-DFM model will be applied to an efficiency analysis of the energy-environment interface for ten regions in Japan. The focus will be on one input cost criterion (viz., expenditures) and two output-based performance criteria (viz., electricity generation and CO2 emission). Based on an extensive database, a comparative performance analysis of ten Japanese regions under consideration will be pursued.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andersen, P., & Petersen, N. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, 1261–1264.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Li, J., Li, J., & Zheng, F. (2014). Unified efficiency measurement of electric power supply companies in China. Sustainability, 6(2), 779–793.
Martínez, P. (2011). Energy efficiency development in German and Colombian non-energy-intensive sectors: A non-parametric analysis. Energy Efficiency, 4(1), 115–131.
Scheel, H. (2001). Undesirable outputs in efficiency valuations. European Journal of Operational Research, 132(2), 400–410.
Seiford, L., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16–20.
Suzuki, S., Nijkamp, P., & Rietveld, P. (2015). A target-oriented data envelopment analysis for energy-environment efficiency improvement in Japan. Energy Efficiency, 8(3), 433–446.
Wu, A., Cao, Y., & Liu, B. (2014). Energy efficiency evaluation for regions in China: An application of DEA and Malmquist indices. Energy Efficiency, 7(3), 429–439.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Suzuki, S., Nijkamp, P. (2017). An Energy-Environment Performance Analysis After the Fukushima Disaster in Japan: Combination of a Target-Oriented Model with an SE Model. In: Regional Performance Measurement and Improvement. New Frontiers in Regional Science: Asian Perspectives, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-0242-7_9
Download citation
DOI: https://doi.org/10.1007/978-981-10-0242-7_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0241-0
Online ISBN: 978-981-10-0242-7
eBook Packages: Economics and FinanceEconomics and Finance (R0)