Analysis of Management Performance for Development of Rural Convergence Industry: Focusing on Agricultural Management Entities of Government Supports for Rural Industrialization in Chungcheongnam-do
{"title":"Analysis of Management Performance for Development of Rural Convergence Industry: Focusing on Agricultural Management Entities of Government Supports for Rural Industrialization in Chungcheongnam-do","authors":"Kim Ji-Heon, J. C. Ho","doi":"10.32956/kaoca.2020.18.1.89","DOIUrl":null,"url":null,"abstract":"The rural convergence industry means to create new added value by converging the secondary industries such as agricultural products processing and the tertiary industries such as experience and tourism based on the primary industries of agricultural production. Various types of government-supported projects have been promoted for agricultural management entities, but the reality is that the degree of self-reliance of rural convergence industry corporations is not high. And problems have been continuously raised, such as the existence of a large number of places receiving support. In this study, to analyze systematically the performance of existing support projects for 52 agricultural corporations that received government-supported projects related to rural industrialization, the financial statements of agricultural management entities were used to analyze profitability, stability, and growth and DEA efficiency analysis. It was carried out. The results of the analysis are as follows. First, it was found that the profitability and growth of agricultural corporations were generally good, while the financial condition of stability was weak. Second, the DEA efficiency analysis conducted sequentially based on the CCR and BCC models confirmed that there was a difference in efficiency depending on the type of government-funded projects. Based on the results of the analysis, the performance of government-supported projects for agricultural corporations and the degree of efficiency by type of support were confirmed, and the development direction and policy implications were suggested.","PeriodicalId":246190,"journal":{"name":"Korean Association Of Computers And Accounting","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Association Of Computers And Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32956/kaoca.2020.18.1.89","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The rural convergence industry means to create new added value by converging the secondary industries such as agricultural products processing and the tertiary industries such as experience and tourism based on the primary industries of agricultural production. Various types of government-supported projects have been promoted for agricultural management entities, but the reality is that the degree of self-reliance of rural convergence industry corporations is not high. And problems have been continuously raised, such as the existence of a large number of places receiving support. In this study, to analyze systematically the performance of existing support projects for 52 agricultural corporations that received government-supported projects related to rural industrialization, the financial statements of agricultural management entities were used to analyze profitability, stability, and growth and DEA efficiency analysis. It was carried out. The results of the analysis are as follows. First, it was found that the profitability and growth of agricultural corporations were generally good, while the financial condition of stability was weak. Second, the DEA efficiency analysis conducted sequentially based on the CCR and BCC models confirmed that there was a difference in efficiency depending on the type of government-funded projects. Based on the results of the analysis, the performance of government-supported projects for agricultural corporations and the degree of efficiency by type of support were confirmed, and the development direction and policy implications were suggested.