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Efficiency and returns-to-scale of local governments

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Journal of the Operational Research Society

Abstract

Local governments of advanced countries often have financial problems. Most central governments promote re-organization of local governments into larger local governments in order to reduce operating costs. Although cost reductions have been discussed by governments, political parties, economic institutes, etc, changes in industrial efficiency in regions governed by local governments have been overlooked. In this paper, we evaluate the industrial efficiency and the corresponding returns to scale (RTS). We present input–output tables that provide data of regional economies, network data envelopment analysis algorithms to measure the industrial efficiency, and an algorithm to measure the RTS. The Japanese government has proposed plans to merge prefectures, which are equivalent to counties in Britain, into larger states. The results obtained by applying the proposed algorithm to these plans demonstrate that a number of the new states will suffer from decreased RTS and will experience reduced efficiency.

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References

  • Banker R and Thrall R (1992). Estimation of returns to scale using data envelopment analysis. Eur J Opl Res 62: 74–84.

    Article  Google Scholar 

  • Bogetoft P, Färe R and Grosskopf S (2008). Thoughts about network DEA. Proceedings of DEA Symposium 2008. The research group on performance evaluation of Operations Research Society of Japan, pp 1–4.

  • Chang H, Galantine C and Thevaranjan A (2009). Returns to scale pattern and efficient firm size in the public accounting industry: An empirical investigation. J Opl Res Soc 60: 1495–1501.

    Article  Google Scholar 

  • Chen C (2007). A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks. Eur J Opl Res 194: 687–699.

    Article  Google Scholar 

  • Cooper WW, Seiford LM and Tone T (2007). Data Envelopment Analysis. Second Edition. Springer: New York.

    Google Scholar 

  • Jehle GA and Reny PJ (2001). Advanced Microeconomic Theory. Addison Wesley: Boston.

    Google Scholar 

  • Kao C (2009). Efficiency measurement for parallel production systems. Eur J Opl Res 196: 1107–1112.

    Article  Google Scholar 

  • Miller ER and Blair DP (2009). Input-Output Analysis, Foundations and Extensions. Cambridge University Press: Cambridge, UK.

    Book  Google Scholar 

  • Tone K (2001). A slacks-based measure of efficiency in data envelopment analysis. Eur J Opl Res 130: 498–504.

    Article  Google Scholar 

  • Tone K (2002). A slacks-based measure of super-efficiency in data envelopment analysis. Eur J Opl Res 143: 32–41.

    Article  Google Scholar 

  • Tone K and Tsutsui M (2009). Network DEA: A slacks-based measure approach. Eur J Opl Res 197: 243–252.

    Article  Google Scholar 

  • UK Office for National Statistics (2010). Summary SUTs for 2004–2008: 2010 Edition, http://www.statistics.gov.uk/about/methodology_by_theme/inputoutput/latestdata.asp, accessed 26 January 2011.

  • Wei QL and Chang T-S (2010). Optimal system design series-network DEA models. J Opl Res Soc, advance online publication, 26 May 2010. doi:10.1057/jors.2010.45.

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Acknowledgements

The authors would like to thank Dr Hitomi of the Central Research Institute of the Electric Power Industry of Japan for providing the input–output table.

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Correspondence to H Amatatsu.

Appendix

Appendix

SBM algorithms for matrix-type organizations

As the SBM algorithms presented by Tone (2001, 2002) are described in Cooper et al (2007), we omit their explanations. The SBM algorithm for matrix-type organizations is the same as the network DEA algorithms using SBM presented by Tone and Tsutsui (2009). This algorithm is obtained by replacing Equation (3) with the following equation:

Super efficiency of matrix-type organizations is measured using the following equation, which is obtained modifying the SBM algorithm presented by Tone (2002):

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Amatatsu, H., Ueda, T. & Amatatsu, Y. Efficiency and returns-to-scale of local governments. J Oper Res Soc 63, 299–305 (2012). https://doi.org/10.1057/jors.2011.38

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  • DOI: https://doi.org/10.1057/jors.2011.38

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