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http://dx.doi.org/10.7744/kjoas.20210069

A study of a flatfish outlook model using a partial equilibrium model approach based on a DEEM system  

Sukho, Han (Department of Agricultural Economics, Chungnam National University)
Sujin, Heo (Fisheries Policy Implementation Division, Korea Maritime Institute)
Namsu, Lee (Fisheries Policy Implementation Division, Korea Maritime Institute)
Publication Information
Korean Journal of Agricultural Science / v.48, no.4, 2021 , pp. 815-829 More about this Journal
Abstract
The purpose of this study is to construct a flatfish outlook model that is consistent with the "Fisheries outlook" monthly publication of the fisheries outlook center of the Korea Maritime Institute (KMI). In particular, it was designed as a partial equilibrium model limited to flatfish items, but a model was constructed with a dynamic ecological equation model (DEEM) system, considering biological breeding and shipping times. Due to limited amounts of monthly data, the market equilibrium price was calculated using a recursive model method as the inverse demand. The main research results and implications are as follows. As a result of estimating young fish inventory levels, the coefficient of the young fish inventory in the previous period was estimated to be 0.03, which was not statistically significant. Because there is distinct seasonality, when estimating the breeding outcomes, the elasticity of breeding in the previous period was found to exceed 0.7, and it increased more as the weight of the fish increased, in addition, the shipment coefficient gradually increased as the weight increased, which means that as the fish weight increased, the shipment compared to the breeding volume increased. When estimating shipments, the elasticity of breeding in previous period was estimated to respond elastically as the weight increases. The price flexibility coefficient of the total supply was inelastically estimated to be -0.19. Finally, according to a model predictive power test, the Theil U1 was estimated to be very low for all of the predictors, indicating excellent predictive power.
Keywords
aquaculture; dynamic ecological equation model system; flatfish; outlook model; structural equation model;
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