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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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한국 유통산업이 한국 경제에 미치는 상호영향력에 관한 실증적 연구

An Empirical Study on Mutual Influence between Economic Index and Distribution Industry in Korean

The Journal of Industrial Distribution & Business(JIDB) / The Journal of Industrial Distribution & Business, (E)2233-5382
2019, v.10 no.9, pp.53-60
https://doi.org/https://doi.org/10.13106/ijidb.2019.vol10.no9.53
임병진 (School of Business, Yeungnam University)
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Abstract

Purpose - The objective of this paper is to discover if there exists a relationship between the economic index and distribution industry index in Korean. Because of the distribution industry boom in the recent years, a lot of interest in the relationship between the economic index and distribution industry index in Korean and the economy has been generated. This article examine on the mutual influence between economic index and distribution industry index in Korean. Research design, data, and methodology - For this purpose, we use the vector-auto regression model, impulse response function and variance decomposition of the economic index and distribution industry index, Granger causality test using weekly data on the economic index and distribution industry price index in korea. The sample period is covering from January 2, 2010 to August 31, 2019. The VAR model can also be linked to cointegration analysis. Cointegration Analysis makes possible to find a mechanism causing x and y to move around a long-run equilibrium (Engle and Granger, 1987). This equilibrium means that external shocks may separate the series temporarily at any particular time, but there will be an overall tendency towards some type of long-run equilibrium. If variables are found to have this tendency they are said to be cointegrated and a long-run relationship between these series is established. These econometric tools have been applied widely into economics and business areas to analyze intertemporal linkages between different time series. Results - This research showed following main results. First, from the basic statistic analysis of the economic index and distribution industry index in Korean, the economic index and the distribution industry index in korea have unit roots. Second, there is at least one cointegration between the economic index and distribution industry index in Korean. Finally, the correlation between of the economic index and the distribution industry index in korea is (+) 0.528876. Conclusions - We find that the distribution industry price index Granger cause the economic index in korea. As a consequence, the distribution industry index affect the economic index in Korean. The distribution industry index to the economic index is stronger than that from the economic index to the distribution industry index.

keywords
Economic Index, Distribution, Distribution Industry, Impulse Response Function, Unit Root

참고문헌

1.

Dickey, D. A., & Fuller, W. A. (1979). Distribution for the Estimates for Auto Regressive Time Series with a Unit Root. Journal of the American Statistical Association, 74, 427-431.

2.

Dickey, D. A., & Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 49, 1057-1072.

3.

Dimitratos, P., Lioukas, S. & Carter, S. (2004). The Relationship between Entrepreneurship and International Performance: The Importance of Domestic Environment. International Business Review, 1(1). 19-41.

4.

Doyle, E. (1998). Export-Output Causality: The Irish Case 1953-93. Atlantic Economic Journal, 26(2). 147-161.

5.

Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37, 424-438.

6.

Harbison, F. & Myers, C. A. (1964). Education, manpower, and economic growth. NY: McGraw-Hill.

7.

Hausman, R., Hwang, J., & Rodrik, D. (2007). What You Export Matters. Journal of Economic Growth, 12 (1). 1-25.

8.

Hsing, H., & Savvides, A. (1996). Does J-Curve Exist for Korea and Taiwan? Open Economics Review, 7(1). 127-145.

9.

Helpman, E., & KLrugman, P. (1985). Market Structure and Foeign Trade. Cambridge, MA: MIT Press.

10.

Hodder, J. (1982). Exposure to Exchange Rate Movements. Journal of International Economics, 13. 375-385.

11.

Jaffe, J. F. (1989). Gold and Gold Stocks as Investments for Institutional Portfolios. Financial Analysts Journal, 45(1). 53-59.

12.

Johansen, S., & Juselius, K. (1990). Maximum Likelihood Estimation and Inferences on Co-integration with Application to the Demand for Money. Oxford Bulletin of Economics and Statistics, 52(2). 169-210.

13.

Jung, W. S., & Marshall, P. J. (1985). Exports, Growth and Causality in Developing Countries. Journal of Developing Economics, 18(1). 1-12.

14.

Kim, B. (2015). A Study on Causal Relationship between Trade in Value-Added and Economic Growth Using Panel-VAR. Journal of International Trade and Industry Studies, 20(1). 123-154.

15.

Kim, C. (2014). A Study on the Impact of Exchange Volatility on Korea-Japan Export Growth according to Global Financial Crisis. Journal of International Trade and Insurance, 15(2). 193-214.

16.

Kim, H., & Kwak, K. (2013). Research Agenda for Boosting Korea’s Export Growth in Accomplishing One Trillion Dollar Trades. Korea trade review, 38(1). 21-45.

17.

Knight, G., Madsen, T. K., & Servais, P. (2004). An Inquiry into Born Global Firms European and USA. International Marketing Review, 21(6), 645-665.

18.

Lee, H., Park, J., Song, D., & Leem, K. (2005). Time Series and Econometrics. Seoul, Korea: Kyungmoon Press.

19.

Lim, J. (2008). Causal Analysis between Trade and Economic Growth in Korea. The Journal of Business Education, 22, 399-408.

20.

Marin, D. (1992). Is the Export-Led Hypothesis valid for Industrial Countries?. Review of Economics and Statistics, 74(4). 678-687.

21.

Paik, I., & Ihm, J. (2007). Educational Contribution to Economic Growth through Analysis of Cross-Country Panel Data. The Journal of Economics and Finance of Education, 16(2). 53-72.

22.

Park, J., & Won, H. (2008). A Study on the Korean Logistics Industry’s Contribution Ratio to the National Economy through the De -composition of the Aggregate Output Equation on the Base of Input-Output Analysis. Journal of Korean National Economy, 26(2). 139-1696.

23.

Phillips, P. C. B., & Perron, P. (1988). Testing for a Unit Root in Time Series Regressions. Biometrica, 75, 335–346.

24.

Ram, R. (1985). Export and Economic Growth: Some Additional Evidence. Economic Development and Culture Change, 33(2). 415-125.

25.

Reppas, P., & Christopoulos, D. (2005). The Export-Output Growth Nexus: Evidence from African and Asian Countries. Journal of Policy Modelling, 27(8). 929-940.

26.

Rizeman, R., Whiteman, C. H., & Summers, P. M. (1996). The Engine of Growth or Its Handmaiden?: A Time-Series Assessment of Export-Led Growth. Empirical Economics, 21(2). 77-110.

27.

Rose, A. K., & Yellen, J. L. (1989). Is There a J-Curve?. Journal of Monetary Economics, 24(1). 53-68.

28.

Rodrik, D. (2006). What's So Special about China's Exports?” China and World Economy, 14(5). 1-19.

29.

Romijn, H., & Albaladejo, M. (2002). Determinants of Innovation Capability in Small Electronics and Software Firms in Southeast England. Research Policy, 31(7). 1053-1067.

30.

Sherman, E. J. (1982). Gold: A Conservative, Prudent Diversifier. Journal of Portfolio Management, 8, 21-27.

31.

Solow, R. M. (1956). A contribution to the theory of economic growth. Quarterly Journal of Economics. 70(1), 65-94.

32.

Styles, C., & Ambler, T. (2000). The Impact of Relational Variables on Expert Performance: An Empirical Investigation in Australia and UK. Australian Journal of Management, 25(3). 261-281.

33.

Sengupta, J. K., & Espana, J. R. (1994). Exports and Economic Growth in Asian NICs: An Econometric Analysis of Korea. Applied Economics, 26(1). 41-51.

34.

Tyler, W. G. (1981). Growth and Export Expansion in Developing Countries: Some Empirical Evidence. Journal of Development Economics, 9(1). 121-130.

The Journal of Industrial Distribution & Business(JIDB)