• 제목/요약/키워드: Wholesale Agricultural Products Market

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Introduction and Management Strategies of Traceability System for Environmentally Friendly Agricultural Products in Wholesale Market (친환경농산물의 도매시장 이력추적관리시스템 도입 및 운영방안)

  • Hong, Seung-Jee
    • Korean Journal of Agricultural Science
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    • v.36 no.2
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    • pp.245-260
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    • 2009
  • Environmentally friendly agricultural products(EFAPs) are on an increasing trend of supply, but not much enhancing the rate of consumption due to higher premiums and consumers' safety concerns. In order to enlarge the consumption of EFAPs and secure the income of the producing farmers, wholesale market should increase the treating amount of EFAPs and introduce traceability system for satisfying consumers' safety concerns. The purpose of this study is to present strategies of traceability system in wholesale market for environmentally friendly agricultural products. For this purpose, current traceability systems that are introduced and managed by government and private association are examined. For the successful management of the EFAPs' traceability system in wholesale market, the trading system, the functions of wholesale market, the level of consumers' safety concerns, and the managing costs should be considered.

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A Study on Problems and Solutions for Trading System of Fishery Products Wholesale Market in Korea (수산물 도매시장 거래제도의 문제점과 개선방안)

  • Kang, Jong-Ho
    • The Journal of Fisheries Business Administration
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    • v.45 no.1
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    • pp.79-93
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    • 2014
  • The Act on Distribution and Price Stabilization of Agricultural and Fisheries Product, which specifies rules and regulations on the trading system of fishery products wholesales markets, has been revised several times, mainly in order to improve the trading system. However, there is still a huge gap between the reality and law when it comes to the trading system of the fishery products wholesale market. This study aims to analyze the problems of the trading system of the fishery products wholesale market and to suggest ways to make improvement. The main problem facing the trading system of the fishery products wholesale market is sales on consignment by intermediate wholesalers, and this paper suggests two alternatives to solve the problem. First, intermediate wholesaler can be converted to market wholesalers, but it also entails other problems. The market wholesaler system has never been successfully adopted in the agricultural and fishery products wholesale market, and it is not clear which system is better between the wholesale market corporation and the market wholesaler system. Second, sales on consignment by intermediate wholesalers can be adopted with a positive view toward it. Negotiation transaction can be carried out for sales on consignment as a transaction method under the current Act on Distribution and Price Stabilization of Agricultural and Fisheries Products. However, since the act cannot provide a solution for listing, it is necessary to introduce Japan's negotiated transaction in advance system as a negotiation transaction method.

An Analysis of Relationship between Market Structure and Efficiency in Agricultural Products Wholesale Market (농산물도매시장의 시장구조와 효율성 간의 관계분석)

  • Kim, Hyo-Mi;Kim, Yoon-Doo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.238-245
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    • 2020
  • The objective of this study was to analyze the market structure of the Garak Agricultural Products Wholesale Market, which has the greatest influence among agricultural products wholesale markets and plays a key role in domestic agricultural products distribution. In addition, through analysis of the management efficiency of the wholesale market corporation, which is a major distributor of the Garak Market, the connection relationship between the market structure of the Garak Market and the management efficiency of the wholesale market corporation was able to be identified. From 2007 to 2018, it was found that the market structure of Garak Market was a monopoly. In addition, the average production efficiency of the five wholesale market corporations was 0.95, indicating that the wholesale market corporation in Garak Market has an efficient production structure with high output compared to input. Therefore, in order to activate the agricultural products wholesale market and protect the rights of producers and consumers based on the analysis results, it is necessary to implement a policy that can establish a competition system among agricultural products wholesale market distributors.

Policy Proposal to Improve the Unloading System of the Agricultural Wholesale Market, Focusing on the Garak Market (농산물도매시장 하역체계 개선을 위한 정책적 제언 : 가락시장을 중심으로)

  • Lee, Rae-Hyup;Sun, Il-Suck
    • Journal of Distribution Science
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    • v.10 no.10
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    • pp.25-33
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    • 2012
  • Purpose - The Garak agricultural wholesale market ('Garak Market') plays a central role in the distribution of agricultural products in Korea and is important in connecting consumers with producers. However, problems regarding inefficiencies and the high-cost structure of the wholesale market's distribution/logistical system are being raised in relation to severe competition among retailers. Furthermore, the service needs of retailers and market users are not being fulfilled due to the inconsistency of the wholesale market's functions and facilities, thus reducing the competitiveness of the market. In this regard, innovative changes are being requested of the agricultural wholesale market according to changes in the agricultural product distribution environment. In particular, the lack of unloading facilities and the outdated unloading system of the wholesale market must be improved to enhance system efficiency. Research design, data, and methodology - This study observed the problems of the unloading system of the agricultural wholesale market in order to present relevant measures for improvement. The need for unloading auctions was also researched in this study. The survey of 70 forwarders belonging to the producing district distributor association of the Garak market was conducted by post. Additionally, 20 auction dealers and 59 shippers and transporters were individually interviewed. The survey on the need for unloading auctions used five-point Likert Scales. The statistical analysis was conducted with SPSS WIN 12.0 software. Results - First, the wholesale market must employ members of the unloading labor union to allow these employees to directly manage the unloading process. Second, it is crucial to revise regulations to ensure that the principal agent pays the unloading cost according to the standard unloading cost system. Third, the vehicle auction carried out for certain vegetable products must be converted to the unloaded auction system. According to the related interviews with the wholesale market's distribution agents, whereas shippers and transporters recognized the need for unloaded auctions, auction dealers tend to have a negative view of this system. Furthermore, the stated reasons in favor of unloaded cabbage, radish, and other vegetable auctions were prevention of constraint, creation of transparent trade conditions, and reduction of corrected seller tickets. Many of the respondents answered that the transport cost reduction rate in unloaded auctions must be below 20%. Fourth, the unloading system must be mechanized and a detailed, reasonable plan must be provided to settle the existing conflict with the unloading labor union. Conclusions - The proposals in this study are expected to play an important role in improving the cargo handling system of the wholesale agricultural product market in the future. Improving the system is expected to help shore up the competitiveness of the industry. If all the related bodies closely cooperate with each other and work harder, taking advantage of the synergies created by the facility modernization project, the Garak market will play a pivotal role in the distribution of agricultural products.

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Forwarding method field survey In farm produce wholesale market in some kinds of mushrooms (버섯류의 농산물 도매시장 출하작업 현장사례)

  • Chang, H.Y.;Lim, T.S.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.13 no.1
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    • pp.185-202
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    • 2011
  • As a result of survey the dealings amounts of agricultural products in the public management wholesale market from 1997 to 2009 for 13 years, that makes composted of 54,706 tons in 1997, 130,345 tons in 2003 by increasing 238%, that is resulted of about 20% increase every year. As a result of survey the dealings money of agricultural products in the public management wholesale market from 1997 to 2009 for 13 years, that makes composted of 168,074 million won in 1997, 323,232 million won in 2003 by increasing 192%, that is resulted of about 16% increase every year. It has corelation with dealings amounts and money each other, also appeals to transition without discrimination, but making high amounts than money. It is divided into excellent, good and poor products according to freshness, pileus size, color and stem length to forwarding method field survey in farm produce wholesale market.

Evaluation of the Wholesalers System in the Fishery Products Wholesale Market (수산물도매시장에 있어서 시장도매인 제도 도입의 평가)

  • Jung-Hun Song;Jong-Ho Kang
    • The Journal of Fisheries Business Administration
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    • v.53 no.4
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    • pp.1-13
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    • 2022
  • The introduction of the wholesalers system is being considered from various aspects in order to improve the problems of the listed auction system of wholesale corporations. The wholesalers system is a corporation that receives designation from the creator and purchases or consigns agricultural and fishery products to wholesale or broker sales, and has the advantage of reducing the distribution stage and distribution costs. The purpose of this study is to evaluate the wholesalers system introduced to improve the problems of the listed auction system of wholesale corporations through a case study of market wholesalers handling fishery products.

Prediction of Agricultural Prices Using LSTM (LSTM 모델을 이용한 농산물 가격 예측에 관한 연구)

  • Yoo, Dong-wan;Park, Jong-beom
    • 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.

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Reliability Analysis for Price Forecasting of Chinese Cabbage (신뢰성 해석기법을 이용한 배추 가격 예측 모형의 개발)

  • Suh, Kyo;Kim, Tae-Gon;Lee, Jeong-Jae
    • 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.

Detection of Phantom Transaction using Data Mining: The Case of Agricultural Product Wholesale Market (데이터마이닝을 이용한 허위거래 예측 모형: 농산물 도매시장 사례)

  • Lee, Seon Ah;Chang, Namsik
    • Journal of Intelligence and Information Systems
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    • v.21 no.1
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    • pp.161-177
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    • 2015
  • With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.