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Erschienen in: Social Choice and Welfare 3-4/2017

07.04.2017 | Original Paper

Capital in South Korea: 1966–2014

verfasst von: Woojin Lee, Younghoon Yoon

Erschienen in: Social Choice and Welfare | Ausgabe 3-4/2017

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Abstract

Using a recently released consistent set of data on stocks of wealth, we estimate wealth and its associated variables in South Korea during the period of 1966–2014. We find the following. First, with some fluctuations, the capital-income ratio \((\beta )\) has been steadily rising from 1966 to 2014. The level of the capital-income ratio in South Korea is also high relative to other OECD countries. A part of the reasons for it is a high level of government wealth in South Korea; the government in South Korea played an important role in capital accumulation. Another reason is that housing and land prices in South Korea have been high relative to national income levels; the capital-income ratio is likely to fall if housing and land prices fall in the future. Second, the capital income share \((\alpha )\) has also been increasing over the last half century, and it moves largely in the same direction as the top decile income share. Third, the rate of return on capital (r) has been lower than the income growth rate (g) until the late-1990s, but inequality is reversed after the late-1990s. That g having been bigger than r in South Korea for a long period of time (30 years) is sharply in contrast with the tendencies observed in other OECD countries, and is due to unusually fast economic growth in South Korea. Fourth, it appears that the capital gains-induced wealth growth is more important than savings-induced wealth growth in South Korea. In particular, the period of 1966–1979 exhibits the most significant capital gains-induced wealth growth; about 79% of the wealth growth is due to capital gains in that period.

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Fußnoten
1
In addition to land, non-produced non-financial assets include subsoil assets, standing timber assets, water resources, contracts, leases, licenses, goodwill, and marketing assets. The KNBS does not provide estimates of all of them. We include only land in non-produced non-financial assets for two reasons: the share of land is very large relative the other components of non-produced non-financial assets, and second, accurate estimation of the other components is not easy. The authors of Cho et al. (2015) are the people in the Bank of Korea Statistics Department who estimate the national wealth for the KNBS. The KNBS provides estimates of non-produced non-financial assets for the period of 1995–2014; for this period, Cho et al. (2015)’s land estimates are identical to those in the KNBS. We do not believe that serious consistency problems arise for the land estimates of years earlier than 1990.
 
2
Government official statistics in South Korea follow four different criteria during 1962–2015: the 2008 SNA criteria for the period of 2008–2015, the 1993 SNA criteria for the period of 2002–2013, the 1968 SNA criteria for the period of 1969–2005, and the 1953 SNA criteria for the period of 1962–1970. To make different series constructed from different SNA criteria consistent each other, we made adjustments to the series using information in the overlapping period of the two series. For instance, the period of 2008–2013 is the overlapping period for the 2008 SNA series and the 1993 SNA series. We compared the two SNA series during their overlapping period (2008–2013) and made some adjustment to the 1993 SNA series to make it consistent with the 2008 SNA series. We then compared the adjusted 1993 SNA series and the 1968 SNA series, and made adjustment to the 1968 SNA series using the information during the overlapping period of the two series, and so on. We certainly admit that this adjustment is not perfect, and therefore, there are some inaccuracies due to the application of different criteria to different time periods. But we can do no better than this, given that government official statistics do not provide series for the entire period using the 2008 SNA criteria.
 
3
To be precise, the right hand side of Eq. (1) is \(W_t +S_t +KG_t +O_t \), where \(O_t \) is other changes in wealth due, say, to natural disaster, discovery of new natural resources etc. We attribute \(O_t \) to \(S_t \).
 
4
Note that the savings rate in current paper is different from that reported in the Korean NIPA. In the current paper, it is defined as the ratio of the amount of savings flow (net of depreciation) to the amount of national income (again, net of depreciation) as in Piketty (2014) and Piketty and Zucman (2013, 2014). The savings rate reported in the Korean NIPA is defined as the ratio of the amount of gross savings flow to gross national disposable income, which is obtained from gross national income after adding the amount of net foreign current transfer. Both the numerator and the denominator in the savings rate reported in the Korean NIPA include the amount of capital consumption.
 
5
Although we include only land for the non-produced non-financial assets, we do not think we systematically underestimate the non-produced non-financial assets. Indeed, land is by far the most important component of the non-produced non-financial assets in South Korea. According to the KNBS, for instance, land takes more than 99% of the entire non-produced non-financial assets during the period of 1995–2014. We are assuming that the portion of other non-land assets in the non-produced non-financial assets are minuscule during 1966–1994 as well.
 
6
In classifying national wealth into various forms, we classify a part of land into other domestic capital. For instance, land underlying other buildings, land underlying structures, forest land, recreational land, and other land are classified into other domestic capital.
 
7
There were several housing and land price bubbles in South Korea. They occurred during 1965–1969, 1975–1979, 1988–1991, and 2003–2009.
 
8
This is a group of producers that Marxists call the ‘petty bourgeoisie.’
 
9
Hong’s (2015) series on top decile income share are longer than Kim and Kim’s (2015) series; the former covers the period of 1958–2013, while the latter covers the period of 1979–1985 and 1995–2012. They differ not only in the covered periods but also in estimation methods. The major methodological difference between the two lies in whether imputed incomes are included. When estimating the top decile income share, Kim and Kim (2015) use national income in the Korean NIPA as the denominator. Hong (2015), on the other hand, subtracts imputed income (which is not taxable) from national income, and use this as the denominator of the top decile income share. Hong’s (2015) estimates on the top decile income share are generally higher than the Kim and Kim’s (2015) estimates.
 
10
Because of the identity, \(\alpha =r\beta \), we have only two degrees of freedom.
 
11
Similar results are obtained when national wealth accumulation is decomposed into savings-induced wealth accumulation and capital-gains-induced wealth accumulation; see Table 9 in Appendix.
 
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Metadaten
Titel
Capital in South Korea: 1966–2014
verfasst von
Woojin Lee
Younghoon Yoon
Publikationsdatum
07.04.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Social Choice and Welfare / Ausgabe 3-4/2017
Print ISSN: 0176-1714
Elektronische ISSN: 1432-217X
DOI
https://doi.org/10.1007/s00355-017-1040-1

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