• 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.

• Proceedings of the Korean DIstribution Association Conference
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• 2000.05a
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• pp.67-85
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• 2000

전통적으로 농산물은 도매시장을 경유하여 유통되어 왔으며 이 때문에 유통단계가 많고 복잡한 것이 특징이다. 그러나 최근 소매업이 대형화, 체인화되면서 대형 소매업체들이 도매시장을 경유하지 않고 산지에서 직접 농산물을 조달하는 유통경로의 비중이 증가하고 있다. 또한 정부에서 투자하고 있는 농산물물류센터도 새로운 유통경로로서 그 중요성이 높아지고 있다. (중략)

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.209-217
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• 2015

Development of food industry and increased city life induced enlarged generation of food waste which is currently reused in a wide range of way. In this study, treatment of food waste generated from the public agricultural product wholesale markets (they are categorized as business places which imposes the duty for reducing the food waste discarded) in Korea was investigated, and subsequently, a scheme for improving the food waste recycling business was suggested. The food waste treatment plants are mainly located in Kyeongki-do at 39.5% of total plants in Korea and the other provinces have less than 10% of the total numbers, among which public treatment plant was 38.0% and private plant was 62.0%. The treatment methods included recycling as animal feed at 47.5%, as compost at 36.4%, and the rest of food waste (12.6%) was treated in other ways. Remarkably, it was noticed that the amount of food waste treated in anaerobic digestion have been increased up to 5.4% since 2011. This implied that food waste treated in anaerobic digestion method is gradually increased according to government policy. Amongst 33 public agricultural product wholesale markets distributed all over the country, the trading volume dealt in Garakdong market in Seoul, Gangseo market in Seoul, Daegu market in Daeju, Eomgung market in Busan, Guri market in Guri accounted for 34.67, 7.47, 6.98, 5.41, and 5.30% of the total trading volume in Korea, respectively. 2.65% of the total trading agricultural products dealt in the markets were remained as food waste and treated. In 2006, Ministry of Agriculture, Food and Rural Affairs implemented the package policy for radish and Chinese cabbage in order to reduce the amount of food waste and indeed, food waste generated in Garakdong market declined to one third of the food waste before the package policy implementation. In 2010, the food waste amount treated by 'dehydration', 'discarding as raw materials', and 'drying after dehydration' accounted for 56.3%, 33.7%, and 10.0% of the total food waste generated in the public agricultural product wholesale market. However, in 2013, discarding as raw materials accounted for the most at 56.3% followed by dehydration at 37.5%, and by drying after dehydration at 6.3%. The remarkable increment of the food waste discarded as raw materials was attributed to the increase of them in Garakdong market in Seoul. In general, the agricultural food waste contains high amount of moisture at 88% in average and low amount of salt at 0.02% in average. Therefore, it is highly recommended to treat the agricultural food waste through drying after dehydration in order for improving the treatment capability. Also, this recommendation can be supported by the fact that the end-products via drying after dehydration can be utilized as compost material. Overall, the agricultural food waste recycling business can be developed through integration of the treatment via 'drying after dehydration' and compost production.

• Proceedings of the Korean DIstribution Association Conference
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• 2001.11b
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• pp.237-257
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• 2001

• The Korean Journal of Pesticide Science
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• v.12 no.4
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• pp.357-362
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• 2008

In order to survey the residual characteristics of pesticides and assess their safeties in the agricultural products from markets, the agricultural products were purchased from the wholesale and traditional markets in Cheongju and Jeonju and analyzed the pesticide residues in them. No pesticide residues were found in samples from Cheongju, whereas, in case of samples collected from Jeonju, 3 pesticides including chlorothalonil were detected from 5 samples such as eggplant from wholesale market and 3 pesticides including azoxystrobin were found in tomato and grape from traditional market. Pesticide residues were detected from 10.9% of the total samples and detection levels were less than their maximum residue levels. Their estimated daily intakes ranged from 0.00102 to 0.03616% of their acceptable daily intakes, representing residue levels of the pesticides detected were evaluated to be safe.

• 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.

• 월간 한농연
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• no.39
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• pp.16-21
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• 2005

• The Korean Journal of Pesticide Science
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• v.15 no.4
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• pp.453-462
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• 2011

This study was carried out to survey the residual characteristics of pesticides and assess their safety. Nineteen agricultural commodities, collected from wholesale and traditional markets in Cheongju. Nineteen agricultural commodities including perilla leaves were collected from the markets on October 29th, 2010. Total 240 pesticides which can be analyzed by multiresidue analysis method by GLC and HPLC were monitored and the pesticides detected were confirmed by GC-MSD and LC-MS. Five pesticides, alachlor, bifenthrin, endosulfan, procymidone and triflumizole, were detected from five samples, such as welsh onion, leek and celery in case of wholesale market and perilla leaves and welsh onion in case of traditional market. Detection rate of 13.2% was obtained as a result of pesticide analysis but 2.6% of the pesticides detected exceeded their maximum residue limits. The estimated daily intakes (EDIs) and maximum permissible intakes (MPIs) of the pesticides detected were less than 26% and 0.05% of their acceptable daily intakes (ADIs) respectively, representing that residue levels of the pesticides detected would be safe.

• 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.