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Productivity of Service Providers: Microeconometric measurement in the case of hair salons

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  • KONISHI Yoko
  • NISHIYAMA Yoshihiko

Abstract

In this paper we measure the productivity of service industries using micro dataset. The "service industry" is a very broad category including many sectors, such as education, finance, insurance, transportation, logistics, food service, and many more. These sectors exhibit, in our understanding, very different structures from one another, and it is not easy to construct one model that can be applied to all service sectors. It is common in the literature to measure the productivity of manufacturing industries, typically by the Solow residual or its modification from production function estimations. We may possibly follow the same track in studying productivity in service industries. However, they may be different in their structures. In the case of hair salon services, it is impossible for service providers to hold inventories. They can serve only when customers arrive at the hair salon.1In this paper, we study the case of hairdressers using micro data collected by hair salons. We believe that our approach is applicable to the food industry, beauty industry and health clinic industry.

Suggested Citation

  • KONISHI Yoko & NISHIYAMA Yoshihiko, 2010. "Productivity of Service Providers: Microeconometric measurement in the case of hair salons," Discussion papers 10051, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:10051
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    Cited by:

    1. Yoko Konishi & Yoshihiko Nishiyama, 2020. "Efficiency of the Retail Industry and Inelastic Supply," International Association of Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 134-166, June.
    2. Yoko Konishi & Yoshihiko Nishiyama, 2020. "Efficiency of the Retail Industry and Inelastic Supply," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 134-166, June.
    3. Yusuke Adachi & Hikaru Ogawa & Masafumi Tsubuku, 2022. "Measuring productivity dynamics in Japan: a quantile approach," Empirical Economics, Springer, vol. 63(1), pages 201-242, July.
    4. KONISHI Yoko, 2017. "On the Role of Skill, Quality, and Environmental Factors on Customer Behavior of the Beauty Industry," Discussion papers 17035, Research Institute of Economy, Trade and Industry (RIETI).
    5. KONISHI Yoko, 2017. "Global Service Value Chain in Japan: Inbound tourism cases," Policy Discussion Papers 17011, Research Institute of Economy, Trade and Industry (RIETI).
    6. KONISHI Yoko & NISHIYAMA Yoshihiko, 2016. "Efficiency of the Retail Industry: Case of inelastic supply functions," Discussion papers 16054, Research Institute of Economy, Trade and Industry (RIETI).
    7. ADACHI Yusuke & OGAWA Hikaru & TSUBUKU Masafumi, 2019. "Productivity Dynamics during Major Crises in Japan: A Quantile Approach," Discussion papers 19015, Research Institute of Economy, Trade and Industry (RIETI).
    8. Sharifah Rahama Amirul & Khairul Hanim Pazim & Sharifah Milda Amirul & Rasid Mail & Jakaria Dasan, 2022. "Developing and validating the qualitative labour productivity measurement in service industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2853-2874, August.

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