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레버리지와 소득증가가 자산에 미치는 영향

Effects on the asset of the increase in the leverage and income

  • 이신남 (협성대학교 세무회계학과)
  • 투고 : 2018.02.09
  • 심사 : 2018.04.20
  • 발행 : 2018.04.28

초록

본 연구의 목적은 우리나라 가계의 주택이나 기타자산 매입이 레버리지증가에 중요한 요인으로 작용하였을 것으로 보고 레버리지, 소득, 자산 증가의 관계를 분석하는 것이다. 또한 가구별 특성을 감안한 레버리지와 소득, 자산의 관계를 살펴보기 위해 가계금융복지 조사 복지 패널의 가구 데이터를 이용하여 회귀분석을 하였다. 분석결과는 첫째, 레버리지 결정요인은 주택과 기타 자산의 구입으로 나타났다. 레버리지 부담이 많은 가계일수록 매입하는 자산의 규모를 감소시킴으로써 디레버리지가 실현될 수 있을 것이다. 둘째, 레버리지와 자산증가율의 관계를 살펴보면 레버리지는 자산의 증가에 정(+)의 영향을 미치는 것으로 보이고 있다. 또한 소득의 증가도 자산의 증가로 연결되었으나 2016년에 비해서 2017년도에 증가율이 감소하였다. 레버리지를 증가시켜 자산을 증가시키는 비율이 소득을 증가시켜서 자산을 증가시키는 비율보다 높은 것으로 나타났다. 이런 결과는 우리나라에서 자산을 증가시키는 요인으로 레버리지를 활용하고 있음을 시사하고 있다.

The objective of this study focuses on the relationship between increasing of leverage and income, asset purchase. For empirical test, regression analysis was conducted using panel data of the household financial welfare survey. The results of the analysis are as follows: First, increasing of leverage is determined by the asset purchase. Deleveraging can be realized by reducing the size of the assets. Second, increase of leverage has positively affected on the increase of asset. Also, the increase of income has significantly positive influence on the increase of assets. These results provide practical guidance as research in increasing of leverage and increase of asset and the limitations of the research and future study are discussed as well.

키워드

참고문헌

  1. R. Rajan. (2010).Fault Lines: How Hidden Fractures StillThreaten the World Economy. Princeton University Press.
  2. M. Iacoviello. (2008), Household Debt and Income Inequality, 1963-2003. Journal of Money, Credit and Banking, 40(5), 929-965. DOI: 10.1111/j.1538-4616.2008.00142.x
  3. M. Kumhof, R. Ranciere & P. Winant(2015), Inequality, Leverage, and Crises. American Economic Review, 105(3), 1217-1245. DOI: 10.1257/aer.20110683
  4. O. Coibion & Y. Gorodnichenko. (2015), Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation. American Economic Journal: Macroeconomics, 7(1), 197-232. DOI: 10.1257/mac.20130306
  5. M. Airaudo & L. Bossi. (2014). Trickle-Down Consumption, Monetary Policy, and Inequality. https://www.cepweb.org/wp-content/uploads/2014/04/CEP
  6. A. Leight. (2007), How Closely Do Top Incomes Shares Track Other Measures of Inequality. in: The Economic Journal, 117, 619-633. https://doi.org/10.1111/j.1468-0297.2007.02099.x
  7. M. Tamm, H. Tauchmann, J. Wasem & S. Greb. (2007), Elasticities of market shares and social health insurance choice in Germany: a dynamic panel data approach. Health Economics, 16(3), 243-256. https://doi.org/10.1002/hec.1167
  8. T. Piketty, S. E. Saez & G. Zucman. (2016). Distributional national accounts: methods and estimates for the United States. National Bureau of Eonomic Research, Working Paper No. 22945, 1-5.
  9. M. K. Hong, T. H. Ahn, W. Y. Kim & J. M. Sung. (2016), Korea Labor and Income Panel Study, Korea Labor Institute.
  10. R. S. Jones. (2017), OECD Economic Survey of Kore 2016. http://www.oecd.org/eco/economic-survey-korea.htm
  11. J. I. Kim. (2018), Leverage expansion. http://economyplus.chosun.com/special/special_view.phpt_num=12798
  12. Analysis of Income Distribution by Wage-Labor Jobs. Statistics Korea, 2017. http:/kostat.go.kr/portal/korea/index.action
  13. C. Ricardo, E. Farhi & P. O. Gourinchas. (2009), An Equilibrium Model of Global Imbalances and Low Interest Rates. American Economic Review, 98, 358-393.
  14. S. Ahn, J H. Hahm & J. K. Kim. (2008). External Finance and Productivity Growth in Korea: Firm Level Evidence Before and After the Financial Crisis. Korea Development Review, 30(2), 177-209.
  15. Y. Choi & J. C. Son. (2016). Nonlinear Effect of Household Debt on Consumption: Evidence from Household-level Panel Data in Korea. Economic Bulletin, 36(2), 1083-1094.
  16. J. H. Jeon. (2018). The Effect of Corporate Social Responsibility and Audit Size on Credit Rating. Journal of the Korea Convergence Society, 9(1), 1-8. https://doi.org/10.15207/JKCS.2018.9.1.001
  17. S. J. Baek. (2017). An Predictive Analytics based on Goal-Scenario for Self-adaptive System. Journal of the Korea Convergence Society, 8(11), 77-83. https://doi.org/10.15207/JKCS.2017.8.1.077
  18. S. O. Shin. (2017), Relation among Clinical Learning Environment, Clinical Practice Cource Satisfaction and Major Satisfaction in Nursing Students. Journal of convergence for information technology, 7(6), 19-24. https://doi.org/10.14801/jaitc.2017.7.1.19
  19. J. K. Hong. (2017), Review on Security Communication Environment in Intelligent Vehicle Transport System. Journal of convergence for information technology, 7(6), 97-102. https://doi.org/10.22156/CS4SMB.2017.7.6.097