JIP Database 2018

Japan Industrial Productivity Database 2018 (JIP Database 2018)

The Japan Industrial Productivity Database 2018 (JIP Database 2018) is the latest version of the JIP Database compiled in a collaborative effort between RIETI under its East Asian Industrial Productivity Project within the Raising Industrial Firm Productivity Program and Hitotsubashi University with the support of the Grant-in-Aid for Scientific Research (S) project on "Service Sector Productivity in Japan" and the JSPS program "Constructing Data Infrastructure for the Humanities and Social Sciences."

The JIP Database 2018 comprises, for the period from 1994 to 2015, various types of annual data necessary for estimating total factor productivity (TFP) in 100 industries covering Japan’s economy as a whole, including capital service input indices and capital costs, quality-adjusted labor service input indices and labor costs, nominal and real output and intermediate inputs, as well as growth accounting results, including estimates of TFP growth rates.

The JIP 2018 is a fully revised version that contains a number of important changes from the JIP 2015. For example, (1) reflecting changes in the 2008SNA, it treats research and development expenditure as capital formation, and (2) reflects changes in the classification of industries from an activity (product) basis to one based on the industry to which an establishment belongs (as a result, the number of industries in Japan’s economy as a whole changed from 108 to 100). For details of these changes, see the links below. As the control totals for the JIP 2018, the output data from the 2011SNA are used; however, since these data are available only from 1994 onward, the JIP 2018 also only covers the period from 1994 onward. The next release of the JIP, the JIP 2019, will attempt to extend the data backward as much as possible. Moreover, while the SNA have been revised as a result of the release of reaggregated data from the Monthly Labour Survey, this revision is not incorporated in the JIP 2018. This point will also be dealt with in the JIP 2019.

The JIP 2018 covers the years from 2012 to 2015, a period of recovery for the Japanese economy: led by the manufacturing sector, GDP growth rebounded as a result of the yen depreciation brought about by Abenomics. At the same time, this was a period in which employment of women and seniors increased substantially. These trends likely have shaped the course of industrial productivity in Japan in a variety of ways, and the JIP 2018 provides the data to examine the impact of these developments in detail.

Annual input-output tables

  • TAHARA, Shinji (Chiba University of Commerce)
  • KIM YoungGak (Senshu University)
  • KWON Hyeog Ug (Nihon University and RIETI)
  • FUKAO Kyoji (Hitotsubashi University, IDE-JETRO, and RIETI)
  • MATSUURA Toshiyuki (Keio University)

Capital service input data

Labor input data

  • TOKUI Joji (Shinshu University and RIETI)
  • MAKINO Tatsuji (Hitotsubashi University and RIETI)

Supplementary tables

  • ITO Keiko (Chuo University): Share of workers by occupation
  • INUI Tomohiko (Gakushuin University and RIETI): Regulation index
  • MATSUURA Toshiyuki (Keio University): Outward FDI statistics

Investment and capital stock in intangible assets

  • MIYAGAWA Tsutomu (Gakushuin University and RIETI)
  • TAKIZAWA, Miho (Gakushuin University)
  • TONOGI, Konomi (Rissho University)

In previous versions of the JIP Database, the following intangible assets -- research and development, mineral exploitation and appraisal, and computer software -- were included in the supplementary tables.

The original version of the JIP Database -- the ESRI/Hi-Stat JIP Database 2003 -- was compiled in a collaboration between the Economic and Social Research Institute (ESRI), Cabinet Office, as part of its Japan’s Potential Growth research project, and Hitotsubashi University, as part of its Hi-Stat project. The database developers are grateful to ESRI for the support and cooperation it provided in constructing the JIP Database 2018.

The key characteristics of the JIP Database 2018 include the following:

  • Both the database itself and its underlying original data are defined as public property and thus, in principle, will be made available to the general public. (Some of the detailed data will be published on the website of the Institute of Economic Research of Hitotsubashi University.)
  • The JIP Database 2018 forms part of the EU KLEMS project, the EU’s World Input-Output Database (WIOD) project, the Asia KLEMS project, and the World KLEMS project led by Harvard University. By estimating TFP by industry for the major EU member states, the United States, South Korea, and other countries, these projects make possible international productivity comparisons by industry, including for Japan.


Estimation Methods

Explanation of estimation of the JIP Database up to the 2015 version

  • 2006 version
    Fukao, Hamagata, Inui, Ito, Kwon, Makino, Miyagawa, Nakanishi, and Tokui "Estimation Procedures and TFP Analysis of the JIP Database 2006," RIETI Discussion Paper January 2007 07-E-003.
  • 2003 version
    Fukao, Inui, Kawai, and Miyagawa, "Sectoral Productivity and Economic Growth in Japan, 1970-98: An Empirical Analysis Based on the JIP Database," in Takatoshi Ito and Andrew Rose (eds.), Growth and Productivity in East Asia, National Bureau of Economic Research-East Asia Seminar on Economics, The University of Chicago Press, 2004.
    (A PDF version of the paper can be downloaded at

Data download

Detailed data such as input-output tables, labor and capital input data, etc., will be successively published in the first half of FY2019.

1. Input-output tables (coming soon)

2. Capital input (coming soon)

3. Labor input

  1. updated September 25, 2019

    1) Indices of labor input by sector (2011=1) [XLS:42KB]

  2. updated September 25, 2019

    2) Average annual change in indices of labor input by sector (%) [XLS:21KB]

  3. updated September 25, 2019

    3) indices of hours worked by sector (2011=1) [XLS:42KB]

  4. updated September 25, 2019

    4) Average annual change in hours worked (%) [XLS:21KB]

  5. updated September 25, 2019

    5) Indices of labor quality by sector (2011=1) [XLS:41KB]

  6. updated September 25, 2019

    6) Average annual change in indices of labor quality by sector (%) [XLS:21KB]

  7. updated September 25, 2019

    7) Number of workers by sector (persons) [XLS:41KB]

  8. updated September 25, 2019

    8) Hours worked by sector (1,000 worker hours)  [XLS:42KB]

  9. updated September 25, 2019

    9) Nominal labor costs by sector (million yen) [XLS:42KB]

  10. updated September 25, 2019

    10) Share of female workers (female workers / total workers, %) [XLS:40KB]

  11. updated September 25, 2019

    11) Share of part-time workers (part-time workers / total workers, %) [XLS:41KB]

  12. updated September 25, 2019

    12) Share of workers aged 55 and over (workers aged 55 and over / total workers, %) [XLS:40KB]

4. Growth accounting [Excel: 2.4 MB]

updated September 25, 2019

  1. 1) List of contents
  2. 2) Definition of aggregated sectors
  3. 3) Real gross output (million yen, in chain-linked 2011 prices)
  4. 4) Nominal gross output (million yen)
  5. 5) Real intermediate inputs (million yen, in chain-linked 2011 prices)
  6. 6) Nominal intermediate inputs (million yen)
  7. 7) Real value added (million yen, in chain-linked 2011 prices)
  8. 8) Nominal value added (million yen)
  9. 9) Labor input index (Divisia index, 2011=1.000)
  10. 10) Hours worked index (2011=1.000)
  11. 11) Labor quality index (2011=1.000)
  12. 12) Nominal labor costs (million yen)
  13. 13) Capital service input (Divisia index, 2011=1.000)
  14. 14) Real net capital stock index (2011=1.000)
  15. 15) Capital quality index (Divisia index, 2011=1.000)
  16. 16) Nominal capital service input (nominal rental price*real net capital stock, million yen)
  17. 17) Cost share of each production factor (including intermediate inputs)
  18. 18) Cost share of each production factor (excluding intermediate inputs)
  19. 19) Growth rate of real gross output
  20. 20) Contribution of intermediate inputs (gross output basis)
  21. 21) Contribution of hours worked (gross output basis)
  22. 22) Contribution of labor quality (gross output basis)
  23. 23) Contribution of real net capital stock (gross output basis)
  24. 24) Contribution of capital quality (gross output basis)
  25. 25) TFP growth rate (gross output basis)
  26. 26) Growth accounting (gross output basis)
  27. 27) Growth rate of real value added
  28. 28) Contribution of hours worked (value added basis)
  29. 29) Contribution of labor quality (value added basis)
  30. 30) Contribution of real net capital stock (value added basis)
  31. 31) Contribution of capital quality (value added basis)
  32. 32) TFP growth rate (value added basis)
  33. 33) Growth accounting (value added basis)

5. Supplementary tables (data are being updated and will be released as and when they have been updated)

Supplementary tables (JIP Database 2015)

6. Investment and capital stock in intangible assets

Since data for research and development, computer software, and mineral exploitation and appraisal have already been estimated, industry-level investment in these categories is included in the newly estimated capital service input data.

Investment and capital stock in intangible assets (JIP Database 2015)