• Korean Journal of Organic Agriculture
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• v.18 no.3
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• pp.331-345
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• 2010

The objective of this paper is to analyze management performance of organic farming management organizations in the large-scale environment-friendly agricultural districts, focusing on cases of organic farming organizations in Chungnam Asan city and Gyeongnam Sancheong-gun which are leading regions in Korean organic agriculture. The management performance in Asan Organic Farming Organization showed that ratio of operating gain to revenue in 2008~2009 increased by 1.2% point compared to in 2006~2007. The management performance in Sancheong Organic Farming Organization showed revenue gain by KRW 2 million in 2009 whereas it suffered a loss by KRW 24 million in 2008. The management performances implied that the amount of financial performance was not yet large and would be a symbol for soundly developing organic farming organization. This paper suggested that network system, recycling agriculture, and the enlargement of processing industry would be very useful to maximize synergy effect in organic farming organizations in a large-scale environment-friendly agricultural districts.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.10B
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• pp.946-961
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• 2008

This study aims to provide guidelines on future policy for restructuring the scheme of aid programs associated with If small and medium-sized enterprises (i.e. SME) in Korea. For this purpose, we investigate an empirical dataset of recent aid programs deployed by Ministry of Information and Communication (i.e. MIC) for the last four years First, it is examined that the programs are practiced in accordance with their own policy objective by comparing matching samples between two groups such as program beneficiary and non-beneficiary companies. Second, positioning transition of programs within a same category is visualized in terms of two business portfolio analysis matrices. Third, an affiliation network matrix of (he programs is newly developed and then we attempt to analyze the programs relationship by the application of multidimensional scaling method to the affiliation network matrix. The empirical dataset is composed of two different kinds of corporate datasets. One is a corporate dataset of 8,994 beneficiary companies that are aided by MIC during the year of '03-'06. The other is also a corporate dataset of 18,354 non-beneficiary companies that have no records of the program supports during the years at all. Particularly, the matching samples of non-beneficiary companies are prepared in order to have comparable corporate age years (i.e. CAY) against beneficiary companies' CAY. Results show that; 1) up-to-date, the programs are properly assigned to IT SME conforming to their own policy objective; 2) however, as the year goes on, the following two distinct positioning transitions are revealed such as (1) both CAY and corporate sales (i.e. SAL) are increased simultaneously, (2) ratio of intangible assets (i.e. RIA) is decreased and ratio of operating gain to revenue (i.e. ROR) is increased. Hence, the role of the programs gets weakened with regard to providing seed money to technology innovation-typed IT SME so that a managerial adjustment of the programs is required consequently; 3) even though the model adequacy is not satisfactory through the analysis of multidimensional scaling method, the relationship of indirect-typed programs can relatively be stronger than that of direct-typed programs.