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Efficiency and returns-to-scale of local governments

Author

Listed:
  • H Amatatsu

    (Seikei University, Tokyo, Japan)

  • T Ueda

    (Seikei University, Tokyo, Japan)

  • Y Amatatsu

    (Bank of Japan, Tokyo, Japan)

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.

Suggested Citation

  • H Amatatsu & T Ueda & Y Amatatsu, 2012. "Efficiency and returns-to-scale of local governments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(3), pages 299-305, March.
  • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:3:p:299-305
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    Citations

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    Cited by:

    1. Victor John M. Cantor & Kim Leng Poh, 2020. "Efficiency measurement for general network systems: a slacks-based measure model," Journal of Productivity Analysis, Springer, vol. 54(1), pages 43-57, August.
    2. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    3. Kao, Chiang & Hwang, Shiuh-Nan, 2014. "Multi-period efficiency and Malmquist productivity index in two-stage production systems," European Journal of Operational Research, Elsevier, vol. 232(3), pages 512-521.
    4. Reza Feizabadi & Mehri Bagherian, 2023. "Identifying the Influential Factors in Increasing the Efficiency of Network Systems: A Mixed Binary Linear Programming," SN Operations Research Forum, Springer, vol. 4(4), pages 1-14, December.
    5. Kremantzis, Marios Dominikos & Beullens, Patrick & Kyrgiakos, Leonidas Sotirios & Klein, Jonathan, 2022. "Measurement and evaluation of multi-function parallel network hierarchical DEA systems," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

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