• Title/Summary/Keyword: regional agricultural cluster

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An Analysis of Korean Regional Agricultural and Agri-Manufacturing Clusters Using Multi-Regional Input-Output Model (우리나라의 권역별 농산업 클러스터 분석: 6개 권역간 산업연관모형희 적용)

  • Yoon, Min-Kyoung;Choi, Myoung-Sub;Kim, Eui-June
    • Journal of Korean Society of Rural Planning
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    • v.16 no.1
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    • pp.9-20
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    • 2010
  • The aim of this paper is to identify Korean agricultural and agri-manufacturing cluster using a multi-regional input-output model. This paper derives a representative set of five agricultural and agri-manufacturing clusters in Korea in terms of spatial and industrial interdependency. The results show that agriculture and agri-manufacturing clusters agglomerated in Seoul Metropolitan Area and Chungcheong Area are linked both production and manufacture functions, whereas Gangwon Area is more focused on production and Jeolla Area is more concentrated on manufacture.

A Study on the Resource and Development Strategies of Regional Agricultural Clusters in Province Geonggi & Inchoen (경기·인천지역 농산업 클러스터 자원에 관한 조사연구 -농산물 생산을 중심으로-)

  • Lee, Y.S;Kim, S.Y.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.8 no.1
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    • pp.3-20
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    • 2006
  • The Ministry of Agriculture and Forestry announced promoting the project, 'Regional Agricultural Clusters,' in Feb. 2004 through 「The Comprehensive Plan for the Agriculture and Agricultural Communities」 and initiated a model project from 2005. The purpose of 'Regional Agricultural Clusters' is to develop regional agriculture by concentrating the resources and capacities of the region and maximizing the effect of integrating related projects. 31 towns in Geonggi and 2 towns (Ganghwa and Ongjin) in Incheon were chosen for the study based on the crop areas of 36 agricultural products from the Agricultural Census in 2000. For those 33 towns, factors such as the top 20 agricultural products, main producing districts and surveys on each towns were considered and we have concluded that these items are good subjects for 'Regional Agricultural Clusters' : We have decided on 18 items for what we call, 'Mini-Clusters,' a cluster in which the item's main producing district is in only one area of the town in question (in 30 projects out of 21 towns). Secondly, we have decided on 11 items for what we call, 'Base-Clusters,' a cluster in which the item's main producing district can be associated by name with the item, the production is sizeable, and can be found in several locations of the town in question (in 13 projects out of 11 towns). Finally, we have decided on 12 items for what we call, 'Broad-Based-Clusters, a cluster which the item's main producing district expands the past the vicinity of the town in question (in 19 projects out of 19 towns).

Promoting Strategies by Development Stage of Region Based Agricultural Cluster Using a Multi-disciplinary Approach (다학문적 접근을 통한 지역농업 클러스터의 단계별 추진전략)

  • Choi, Sang-Ho;Choi, Hung-Kyu;Lee, Min-Soo;Choe, Young-Chan
    • Journal of Korean Society of Rural Planning
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    • v.11 no.4 s.29
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    • pp.33-45
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    • 2005
  • This study investigates the core elements of the formation and development of cluster using a multi-disciplinary approach and suggests a promoting strategy by development stage of cluster. As a sub-category of regional innovation system, the cluster has been considered as one of the most noticeable methodological argument to make the regional innovation system come true. In the meantime, this study examines the core elements of cluster shown in the theories and examples through six academic fields such as economics, geography, regional development, business administration, sociology and pedagogy and their educational back-ground. By means of establishing the incubation stage in the development of cluster, core elements are composed in the stages of birth, incubation and evolution in subsequent manner. A promoting strategy will be suggested through the implication of core elements in the reestablished stages.

Regional Analysis of Precipitation using Mean Annual Precipitation and Cluster Methods (연강수량 및 클러스터 기법에 의한 강수의 지역화 분석(수공))

  • 이순혁;맹승진;류경식;지호근
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2000.10a
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    • pp.397-404
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    • 2000
  • A total of 65 rain gauges with Automatic Weather Station(AWS) were used to regional analysis of precipitation. Nine cluster regions were identified using geographical locations, maximum, mean, standard deviation of 1 day maximum rainfalls, mean annual precipitation and rainfall of rainy season in Korea. The mean annual precipitation, geographical locations, and the synoptic generating mechanisms were used to identify th five climatological homogeneous regions in Korea. Number of final regions by mean annual precipitation and cluster methods divided into five regions in Korea.

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A Case Study on the Regional Agricultural Cluster at Asan Area (지역농업 클러스터의 추진사례에 관한 연구 - 아산시 자원순환형 친환경지역농업 클러스터를 중심으로 -)

  • Kim, Ho
    • Korean Journal of Organic Agriculture
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    • v.17 no.4
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    • pp.463-481
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    • 2009
  • Regional Agricultural Cluster(RAC) at Asan area has been formed with Purundeul farming union corporation(Purundeul) as the center from the year 2005. Originally, RAC has been proceeded by Ministry for Food, Agriculture, Forestry and Fisheries (MFAFF) all over the nation from 2005. This RAC has helped Asan area to establish the foundation of environmentally friendly agriculture(EFA) searching for nutritional cycle. This also made jumping age turn developing age in EFA at Asan area. The number of Purundeul producer members was 386 farmers in 2008. Purundeul introduced organic livestock farming(Korean beef cattle; Hanwoo) for proceeding EFA searching for nutritional cycle in 2007, and had 719 cattle at the end of March 2009. Feedstuff materials for organic livestock is mostly produced from seeding farming by-products within Asan or the country. Asan RAC had built factories for feedstuff producing and beef processing with producers' investment.

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Effective Classification Framework Design and Implementation for Rural Regional Information using Principal Component Analysis and Cluster Analysis (주성분 분석 및 군집분석을 이용한 지역정보 유형화 프레임워크의 설계와 구현)

  • Suh, Kyo;Kim, Tae-Gon;Lee, Ji-Min;Lee, Jeong-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.1
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    • pp.73-81
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    • 2012
  • For planning and developing rural regions, it is very important to understand and utilize regional characteristics including social, demographic, and economic aspects. The purpose of this study is to find effective analysis techniques and provide a procedure design for mining regional characteristics in South Korea through reviewing and analyzing 41 related studies. The engaged research methods can be classified into five categories (PCA+CA, PCA, CA, GIS, and PCA+GIS) with the combination of three methodologies: principal component analysis (PCA), cluster analysis (CA), and geographical information system (GIS). The combination of PCA and CA occupied about 40 % of research methods used in related studies. The analysis tool of Korean Rural Information Supporting System (KRISS) is designed based on the outcomes of this study and applied to classify the regional capacity of agriculture using agricultural census data (2000) for evaluating its applicability.

Prediction of Land-cover Change Based on Climate Change Scenarios and Regional Characteristics using Cluster Analysis (기후변화 시나리오에 따른 미래 토지피복변화 예측 및 군집분석을 이용한 지역 특성 분석)

  • Oh, Yun-Gyeong;Choi, Jin-Yong;Yoo, Seung-Hwan;Lee, Sang-Hyun
    • Journal of The Korean Society of Agricultural Engineers
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    • v.53 no.6
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    • pp.31-41
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    • 2011
  • This study was conducted to predict future land-cover changes under climate change scenarios and to cluster analysis of regional land-cover characteristics. To simulate the future land-cover according to climate change scenarios - A1B, A2, and B1 of the Special Report on Emissions Scenarios (SRES), Dyna-CLUE (Conversion of Land Use Change and its Effects) was applied for modeling of competition among land-use types in relation with socioeconomic and biophysical driving factors. Gyeonggi-do were selected as study areas. The simulation results from 2010 to 2040 suggested future land-cover changes under the scenario conditions. All scenarios resulted in a gradual decrease in paddy area, while upland area continuously increased. A1B scenario showed the highest increase in built-up area, but all scenarios showed only slight changes in forest area. As a result of cluster analysis with the land-cover component scores, 31 si/gun in Gyeonggi-do were classified into three clusters. This approach is expected to be useful for evaluating and simulating land-use changes in relation to development constraints and scenarios. The results could be used as fundamental basis for providing policy direction by considering regional land-cover characteristics.

A Conjoint Analysis of Consumer Preferences for Traditional Cheeses in Turkey : A Case Study on Tulum Cheese

  • Adanacioglu, Hakan;Albayram, Zubeyde
    • Food Science of Animal Resources
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    • v.32 no.4
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    • pp.458-466
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    • 2012
  • In this study, consumer preferences toward traditional cheeses were investigated with Tulum cheese sample which is one of the traditional cheeses of Turkey. Type of milk used for Tulum cheese making was identified as the most important factor, followed by Tulum cheese's texture, price, salinity, fat content, origin and flavour. The ideal Tulum cheese profile for the overall consumers was made with cow milk, a hard texture, a price of 20 TL per kg, a low salt cheese, a full fat cheese, the regional cheese which belongs to Izmir region and a mild-flavoured cheese.A cluster analysis revealed there were two clusters with different ideal product profiles. Cluster 1's ideal Tulum cheese comprised a soft texture, a mild-flavoured cheese, a cheese made with cow milk, a full fat cheese, a low salt cheese, the regional cheese which belongs to Izmir region and a price of 10 TL per kg. Cluster 2 differed from cluster 1 in that its ideal Tulum cheese was a hard textured cheese and priced at 20 TL per kg. The consumers in cluster 2 were less price sensitive than those in cluster 1. In addition to, the consumers in both segments are ready to pay extra money for regional Tulum cheese versus non-regional Tulum cheese. We found that the older ones were more willing to pay as compared to younger individuals. Young people are critical target consumers for Tulum cheese marketers. The findings on cluster 1's ideal Tulum cheese of this study could therefore provide guidance to marketing managers.

The Innovation Milieu of Red Pepper Agro-Industry District in Bonghwa County : A Cluster Perspective (지역 농산업산지의 혁신환경과 클러스터 육성전략 : 봉화군 고추농산업 사례)

  • Lee, Jong-Ho
    • Journal of the Korean association of regional geographers
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    • v.11 no.2
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    • pp.233-246
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    • 2005
  • This paper aims to explore the innovation milieu of red-pepper agro-industry in Bonghwa County, in the northern part of Gyeongbuk Province, and suggest policy recommendations for bringing up local agro-industry from a cluster perspective. It turns out that the capabilities of Bonghwa red-pepper agro-industry to innovate are remarkably weak let alone soft infrastructures such as learning networks between innovation agents and social capital. In this sense Bonghwa red-pepper agro-industry can be viewed as an agricultural area simply specialized in production sector rather than a kind of agro-industry cluster. For moving up Bonghwa red pepper industry into an innovative cluster, the paper suggests that the policy makers need to focus on cultivating local learning communities, building a region-wide incorporated brand, promoting the local agricultural technology centre as a network hub of cluster and fostering the functional links between universities and local innovation agents, covering farmers, agricultural organizations, agro-food producers and the local government.

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A Study on the Typology of Agricultural Reservoir for Effective Safety Inspection Systems (효율적인 안전진단 체계 수립을 위한 농업용 저수지 유형화 연구)

  • Lee, Chang Beom;Jung, Nam Su;Park, Seong Ki;Jeon, Sang Ok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.57 no.5
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    • pp.89-99
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    • 2015
  • In this research, 1,032 data of precise safety inspection from 2004 to 2013 are gathered and constructed for finding effective safety inspection systems. Items are extracted from constructed data and factors for typology are decided with statistical method such as principle component analysis and cluster analysis. For factor decision, we extruded independent characteristics such as morphological and geographical characteristic, and deleted items which can be expressed by combination of independent characteristics. Four factors such as total storage, watershed ratio, levee length ratio, and spillway length ratio are extracted in this process. In cluster analysis, levee length ratio is excluded because it is not separated as cluster. Finally nine types of agricultural reservoir are extruded by total storage, watershed ratio, and spillway length ratio with frequency analysis.