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http://dx.doi.org/10.13000/JFMSE.2016.28.1.198

A Leading Price Estimation of Jeju Flounder Producer Prices by Fish Weight and a Dynamic Influence Analysis of Market Price Impulse  

SON, Jingon (Pukyong National University)
NAM, Jongoh (Pukyong National University)
Publication Information
Journal of Fisheries and Marine Sciences Education / v.28, no.1, 2016 , pp. 198-210 More about this Journal
Abstract
This study firstly aims to estimate a leading-price of Jeju flounders with various price-classes by fish weight and secondly plans to provide policy implications of flounder purchase projects by understanding dynamic changes and interactions among flounder producer price-classes caused by price impulses in the market. This study applies an unit root test for stability of data, uses a Granger causality test to estimate the leading-price among producer prices by fish weight, employs the vector autoregressive model to analyze statistical impacts among t-1 variables used in models, and finally utilizes impulse response analyses and forecast error variance decomposition analyses to understand dynamic changes and interactions among change rates of the producer prices caused by price impulses in the market. The results of the study are as follows. Firstly, KPSS, PP, and ADF tests show that the change rate of Jeju flounder monthly producer prices by fish weight differentiated by logarithm is stable. Secondly, the Granger causality test presents that the change rate of the 1kg flounder producer price strongly leads it of 500g, 700g, and 2kg flounder producer prices respectively. Thirdly, the vector autoregressive model indicates that the change rate of the 1kg producer price in t-1 period statistically, significantly influences it of own weight in t period and also slightly affects price change rates of other weights in t period. Fourthly, the impulse response analysis indicates that impulse responses of structural shocks for the change rate of the 1kg producer price are relatively more powerful in its own weight and in other weights than shocks emanating from price change rates of other weights. Fifthly, the variance decomposition analysis points out that the change rate of the 1kg producer price is relatively more influential than it of 500g, 700g, and 2kg producer prices respectively. In conclusion, the change rate of the 1kg Jeju flounder producer price leads the change rates of other ones and Jeju purchase projects need to be targeted to the 1kg Jeju flounder producer price as the purchase project implemented in 2014.
Keywords
Jeju Flounder Producer Prices by Fish Size; Granger Causality Test; Vector Autoregressive Model;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Cha, Y. K..Kim, K. S.(2009), A causality analysis of the prices between imported fisheries and domestic fisheries in distribution channel, The Journal of Fisheries Business Administration, 40(2), 45-65.
2 Choi, B. O..Kim, W. T.(2007), An analysis of dynamic causal relationship between local and terminal wholesale market prices for oriental melon, J Rural Dev 30, 30(3), 69-85.
3 Dickey, D. A..Fuller, W. A.(1979), Distribution of the Estimators for Autoregressive Time Series with a Unit Root, Journal of the American Statistical Association, 74, 427-431.
4 Granger, C. W. J.(1969), Investigating Causal Relations by Econometric Models and Cross-spectral Methods, Econometrica, 37(3), 424-438.   DOI
5 Jeong, M. G..Heo, D.(2000), Causal relationships among beef prices causal relationships between beef prices by marketing stages, J Rural Dev, 23(1), 55-66.
6 Jo, H. H..Hwang, S. W.(2007), Study on structural breaks and shock persistence in the Korean macroeconomic time series, Econ Res, 55(3), 85-117.
7 Johansen, Soren(1995), Likelihood-based Inference in Cointegrated Vector Auotoregressive Models, Oxford University Press.
8 Kang, J. H..Lee, K. j..Hong, S. G..Jung, M. S.(2000). Study on pricing structure of main fresh fishes, KMI.
9 Kang, S. K..Lee, K. J.(1998). A Study on the long-run equilibrium relationship and casuality between the Prices of fisheries products at different levels of distribution: focused on hairtail and squid in Busan, The Journal of Fisheries Business Administration, 29(2), 77-96.
10 Kim, C. H..Nam, J. O.(2015), A Causality Analysis of the Hairtail Price by Distribution Channel Using a Vector Autoregressive Model, The Journal of Fisheries Business Administration, 46(1), 93-107.   DOI
11 Kim, M. J..Zhang, G. H.(2003), Financial time series analysis, Kyungmoonsa.
12 Korea Maritime Institute.(2012), Analysis on managing expense of abalone.Jeju flounder, KMI, Fisheries Outlook Center.
13 Kwiatkowski, D..Phillips, P. C. B..Schmidt, P..Shin, Y.(1992), Testing the null hypothesis of stationarity against the alternative of a unit root, Journal of Econometrics, 54, 159-178.   DOI
14 Lee, H. J..Park, J. S..Song, D. J.(2005), Economy and finance time series analysis using eviews, Kyungmoonsa.
15 Lee, J. W.(2007), Econometrics, Pakyoungsa.
16 Lee, S. Y.(2007), A study on regional pricing structure of fishery market at the consumers sector in Korea, Ph. D. Dissertation, Pukong National University.
17 Nam, J. O..Sim, S. H.(2014), A Leading-price Analysis of Wando Abalone Producer Prices by Shell Size Using VAR Model, Ocean and Polar Research, 36(4), 327-341.   DOI
18 Nam, J. W..Lee, H. S.(2007), Econometrics: Theory and application of Eviews/Excel, Hongmoonsa.
19 Pesaran, M. H..Shin, Y.(1998), Impulse Response Analysis in Linear Multivariate Models, Economics Letters, 58, 17-29.   DOI
20 Phillips, P. C. B.(1987), Time series regression with a unit root, Econometrica, 55, 277-301.   DOI
21 Phillips, P. C. B..Perron, P.(1988), Testing for a Unit Root in Time Series Regression, Biometrika, 75(2), 335-346.   DOI
22 Sims, C. A.(1972), Money, Income, and Causality, The American Economic Review, 62(4), 540-552.