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Indicating human capital including non-economic value

Author

Listed:
  • Ryuichi Okumura

    (Tokyo Institute of Technology)

  • Hiroshi Deguchi

    (Tokyo Institute of Technology)

Abstract

In this paper, the authors propose to overcome the indexing problems pertaining to measurement of human capital through a method of expressing economic and non-economic value on two axes of a rectangular coordinate system. Using these indices, the characteristics and trends of the trajectory of the worker's human capital can be comprehended and analyzed. The proposed method can visually demonstrate the size of human capital by indexing the concept of human capital, including non-economic values such as the degree of job satisfaction. Human capital by age shows the following trends: Workers increase their economic human capital from their 20 s to their 50 s, and they increase non-economic human capital between their 50 and 60 s. In Japan, those who work for large companies increase their ability to earn money and lose labor satisfaction between their 20 and 50 s. Accumulating human capital should not only contribute positively to the growth of the company in which the worker works, but also to the value of the worker’s life. It is, thus, desirable to raise both economic and non-economic value human capital over a person’s occupational life. The future task is to analyze the attributes of workers with high human capital, and to find suggestions for ways workers can raise human capital using the proposed framework of indices.

Suggested Citation

  • Ryuichi Okumura & Hiroshi Deguchi, 2021. "Indicating human capital including non-economic value," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 45-62, April.
  • Handle: RePEc:spr:eaiere:v:18:y:2021:i:1:d:10.1007_s40844-020-00166-1
    DOI: 10.1007/s40844-020-00166-1
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    References listed on IDEAS

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    1. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    2. Hashimoto, Masanori, 1981. "Firm-Specific Human Capital as a Shared Investment," American Economic Review, American Economic Association, vol. 71(3), pages 475-482, June.
    3. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    4. Jacob Mincer, 1962. "On-the-Job Training: Costs, Returns, and Some Implications," NBER Chapters, in: Investment in Human Beings, pages 50-79, National Bureau of Economic Research, Inc.
    5. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5.
    6. Lorne Carmichael, 1983. "Firm-Specific Human Capital and Promotion Ladders," Bell Journal of Economics, The RAND Corporation, vol. 14(1), pages 251-258, Spring.
    7. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    8. Ohashi, Isao, 1983. "Wage Profiles, Layoffs and Specific Training," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(1), pages 169-181, February.
    9. Goldsmith, Arthur H & Veum, Jonathan R & Darity, William, Jr, 1997. "The Impact of Psychological and Human Capital on Wages," Economic Inquiry, Western Economic Association International, vol. 35(4), pages 815-829, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Human capital; Index; Non-economic value; Framework; Economics;
    All these keywords.

    JEL classification:

    • F60 - International Economics - - Economic Impacts of Globalization - - - General
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • N50 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - General, International, or Comparative
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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