• Korean Journal of Agricultural Science
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• v.47 no.3
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• pp.567-576
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• 2020

One of the main challenges receiving much attention in the Rwandan agriculture and food industry in recent decades is the increases in maize prices. Indeed, a rise in maize prices causes higher living expenses for households because maize, which is a major staple food crop, constitutes a significant share of total food consumption among households in Rwanda. The aim of this study was to assess the extent of integration and how prices are transmitted between retail and wholesale markets of domestic maize in Rwanda. This study used monthly data of retail and wholesale prices of maize from January 1995 to December 2019. This empirical investigation was based on a linear cointegration approach and an asymmetric error correction model framework. Using the augmented dickey-fuller residual-based test and the Johansen Maximum Likelihood cointegration test, the results revealed that the retail and wholesale markets of maize are integrated. Hence, prices in these markets do not drift apart in the long run. The results of the Granger causality test revealed that there is a unidirectional causal relationship flowing from wholesale prices to retail prices, i.e., wholesale prices influence retail prices. Accordingly, the results from the asymmetric error correction model confirmed the presence of a positive asymmetric price transmission between wholesale and retail prices of maize in Rwanda. Thus, we suggest that policymakers take a critical look at the causes and factors that may influence asymmetry price transmission.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1123-1134
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• 2013

The purpose of this study is to decide the optimal location site of the agricultural wholesale market in Gyeonggi-do. In this paper, methods of social network analysis are adopted to calculate the betweenness centrality, degree centrality, prestige centrality. Methods of social network analysis can be a good alternative to discover characteristics of a complicated method by visualizing relationships among nodes(cities). The results of this study are as below : First, the result of social network and present locations are not so different. Second, optimal locations of the agricultural wholesale market in Gyeonggi-do are Pyeongtaek-si, Suwon-si, Ansan-si, Seongnam-si, Hwaseong-si, Yongin-si, Icheon-si, Anyang-si etc.

• Journal of Distribution Research
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• v.15 no.5
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• pp.273-285
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• 2010

This paper analyzes retailers' purchasing patterns of fruits and vegetables and the problems with purchasing from agricultural product wholesale markets. While large-scale retailers purchase fruits and vegetables from various sources, medium and small-scale retailers and food service companies buy them mostly from agricultural product wholesale markets. The retailers point out the problems with purchasing from agricultural product wholesale markets as a lack of quality uniformity, not sufficient cooling storage facilities, not sufficient space for shipping area, high distribution cost, unnecessary price fluctuation, and etc. In order to enhance the linkage with retailers, agricultural product wholesale markets, first of all, have to adopt more flexible trading methods such as private treaty besides auctions which are exclusively legitimate trading methods in the market. Necessary are enlargement of jobbers' operating scale, securing shipping space for retailers, adoption of inspection service, introduction of methods to stabilize auction prices, saving of loading and unloading costs, implementation of marketing strategies.

• Korean Architects
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• s.558
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• pp.110-115
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• 2015

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.710-712
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• 2022

Agricultural products take a large part of the wholesale and retail market as a necessity for daily consumption, and the consumption and price of agricultural products affect the supply and demand of agricultural products, consumer spending, and agricultural household income. Therefore, in this study, It was conducted on unit price prediction using LSTM to trade agricultural products, weather observation, import and export performance and fresh food index data. In order to study the supply and demand management of agricultural products and appropriate prices in the wholesale and retail market, unit prices are predicted for garlic, cabbage, and onions with high consumer price index weights among items subject to vegetable price stabilizers.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.859-870
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• 2018

Dried red peppers are a staple agricultural product used in Korean cuisine and as such, are an important aspect of agricultural producers' income. Correctly forecasting both their supply and demand situations and price is very important in terms of the producers' income and consumer price stability. The primary objective of this study was to compare the performance of time series forecasting models for dried red peppers in Korea. In this study, three models (an autoregressive model with exogenous variables [ARX], AR-exponential generalized autoregressive conditional heteroscedasticity [EGARCH], and ARX-EGARCH) are presented for forecasting the wholesale price of dried red peppers. As a result of the analysis, it was shown that the ARX model and ARX-EGARCH model, each of which adopt both the rolling window and the adding approach and use the agricultural cooperatives price as the exogenous variable, showed a better forecasting performance compared to the autoregressive model (AR)-EGARCH model. Based on the estimation methods and results, there was no significant difference in the accuracy of the estimation between the rolling window and adding approach. In the case of dried red peppers, there is limitation in building the price forecasting models with a market-structured approach. In this regard, estimating a forecasting model using only price data and identifying the forecast performance can be expected to complement the current pricing forecast model which relies on market shipments.

• Journal of Distribution Research
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• v.14 no.1
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• pp.67-86
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• 2009

The Gang-Seo wholesale market is an experimental system in that two different distribution channels co-exist in the same marketplace; the auction system and the consignment system. The government expects the consignment system offers higher and more stable prices to farmers than the auction system. This study tested if that is the case, but the results did not support the hypotheses. The consignment system needs institutional complements and more transparent operations before wide-spreading.

• Journal of The Korean Society of Agricultural Engineers
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• v.50 no.3
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• pp.71-79
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• 2008

Generally the price of agricultural products has much different characteristics from that of manufacturing products. If products have the limitation of long-term storage and the short period of cultivation, the price of products can be more unstable. Moreover, the price forecasting is very difficult because it doesn't follow any cycle or trend. However price can be regarded as risk instead of uncertainty if we can calculate the probability of price. Reliability analysis techniques are used for forecasting the price change of Chinese cabbage. This study aims to show the usability of reliability analysis for price forecasting. A price-forecasting model was developed based on weather data of the first 10 days of the full cultivating cycle (80 days) 70 days and the average price and standard deviation of wholesale market prices from 1996 to 2001 and applied to forecast the boom price, or the orice which is over the tolerance of market prices, of upland Chinese cabbage in 2002 and 2003. Applied results showed the possibility of boom price forecasting using reliability analysis techniques.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.11a
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• pp.81-93
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• 2007

• Journal of Platform Technology
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• v.11 no.4
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• pp.62-70
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• 2023

This research is one of a series of studies to develop a system to help agricultural producers and sellers determine when and how much to ship products to the wholesale market to maximize their profit. The purpose of this research is to incorporate the time-varying quality change effect, which was not used in the previous agricultural and marine product shipping model. The researchers developed four models to measure the quality change effect: quality declining steadily over time, quality declining rapidly at first and then slowly, quality declining first slowly and then rapidly, and quality rising over time and then decreasing again. According to the results of an empirical analysis of the effect of each model's quality change effect on shipments for apples traded in the Garak Wholesale Market from 2014 to 2021, statistical significance was found in the quality change effect of all four models. And there was no significant difference in explanatory power between the four models. Therefore, any of the four models should be introduced into the decision-making system for shipping time for apples.