It is expected that a regional agriculture cluster, which incorporates farmers, agri incorporations, administrations, and research institutions, would be a key for renovation of a regional agriculture. In recent, interest in a regional agriculture clu ...
It is expected that a regional agriculture cluster, which incorporates farmers, agri incorporations, administrations, and research institutions, would be a key for renovation of a regional agriculture. In recent, interest in a regional agriculture cluster in agricultural area including the ministry of agriculture and agricultural groups increases by guaranteeing a regional independency.
Therefore,the purpose of the study is to examine effects of a pro-environmental rice cluster on a regional agriculture development.
To study the effects of a pro-environmental rice cluster on a regional agriculture development, factor analysis and regression analysis were employed.
Total 153 farms were selected for analysis: 46 farms from Kangjin, 40 from Bosung, 30 from Koheng, and 37 farms from Suncheon.
A questionnaire was developed which was divided into several sections. They included questions on networking and construction of a production infrastructure, questions on process and manufacture, questions on an influence to marketing and sales, questions on tasks on progress (Likert scales), and socio-demographics.
Based on the survey, frequency analysis, ANOVA, factor analysis, and regression analysis were implemented using SPSS 12.0.
Factor analysis was implemented on 17 variables to investigate effects of a pro-environmental rice cluster on a regional agriculture development.
Eigen values more than 1 were named factor1(networking and production infrastructure), factor2(process manufacture), and factor3(marketing and sales), respectively. Overall, those factors toward independent variables were statistically significant.
It was shown that regression estimates of factor1 and factor2 were statistically significant at α= 0.01 level. The estimated model was statistically different from zero at α= 0.01 significance level, as indicated by its F statistics with 24.963. Standardized estimates indicated that effects of three independent variables on a regional agriculture development were positively significant: factor 1(.461), factor 2(.337), and factor 3(.091).
Three independent factors explained 33.4% of with respect to effects on a regional agriculture development. In addition, it was shown that residual analysis was proper.
All regression estimates were statistically significant at α= 0.01 level. The estimated model was statistically different from zero at α= 0.01 significance level, as indicated by its F statistics with 22.156. Standardized estimates showed that effects of three independent variables on satisfaction of a pro-environmental rice cluster were positively significant: factor1(.386), factor2(.365), and factor3(.163).
In terms of problems to solve in the future, the most important factors for farmers are as follows: a field guidance/consulting in networking construction (81.7%), a price competition in production infrastructure formation (89.5%), a development of new species suited to pro-environmental agricultural practices (88.9%), a development of new value-added commodity in process and manufacture (81.0%), and a development of a medium of a public relation in marketing and sales (81.0%), respectively.
The study presented that a development of new species suited for pro-environmental agricultural practices, and price and quality competitiveness were important elements. This suggests that a development of new value-added commodities should be accomplished.
The study demonstrated that while constructions for a production infrastructure and network were important parts for future success of a pro-environmental rice cluster, an exchange between rural and urban area and tourist attractions, an area related to information, and an introduction of production and marketing trace system were relatively less important.