• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.259-262
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• 2021

데이터 경제 시대를 맞이하여 농업분야에서도 농업인의 편의를 제공하고 정책의 효율성을 높여야만 한다. 이에 농업 보조금 신청 등을 위해 본인의 자격증명을 대신해서 관계 기관들이 수집, 보유하고 있는 데이터를 통해 농업 마이데이터 서비스 구축을 모색하고자 한다. 따라서 본 연구는 농업 마이데이터 서비스 수용의도에 미치는 영향에 관한 연구를 통해, 농업 마이데이터 구축에 필요한 시사점을 도출하고자 한다.

• Management & Information Systems Review
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• v.35 no.3
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• pp.273-287
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• 2016

This study aimed to clarify the effect of information technology (IT) education on the efficiency and effectiveness of working processes among agriculture corporations. Survey data on information levels from 222 agriculture corporations were collected from the Korean Agency of Education, Promotion, and Information Service in Food, Agriculture, Forestry, and Fisheries (EPIS) for a governmental white paper. Structural equation modeling was used for analysis. This study found that IT education increases the ratio of the use of information systems in working processes, especially given the use of data accumulated through information and communications technologies (ICT). The findings of this study suggest that the use of ICT data as an aspect of IT education is beneficial for the agricultural sector.

• Journal of Industrial Convergence
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• v.15 no.2
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• pp.7-16
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• 2017

The 6th industrialization of agriculture, which promotes the virtuous cycle of creating new value with through the convergence integration of agriculture and contributing to the vitalization of local economy etc. Accordingly, the purpose of this research is to provide implication for the efficiency, vitalization of domestic 6th industrialization per regions Analysis is use of the "2015~2016 Food Agriculture 6th Industrialization Basic Reality Survey Research" report data. As an analytical method DEA(Data Envelopment Analysis), Tobit model were used for results. The following are the summary of hypothesis test. First, 6th industrialization of agriculture identify improve income growth and increase efficiency, Second, Efficiency influence factor analysis shows have a minus (-) relation that yearly rural population increase rate, and secondary industry participation rate. Third, 6th industrialization recognition of the business is plus(+) relation influenced. Through this research, There may be a limit of research data and qualitative factor etc, explanatory power, but it is meaningful in the sense that objective implication was drawn for the enhancement of the 6th industrialization per regions.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.794-799
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• 2007

우리나라 경제가 급속도로 개방화되면서 우리나라 농업은 매우 어려워 상황에 맞이하게 되었다. 이에 정부는 농산물의 수급안정과 농가소득 안정화를 위해 농업관측사업을 정책적으로 실시하고 있는데, 매년 사업이 확대됨에 따라 품목별 조사체계 확립과 효율적인 정보관리를 위한 정보시스템 구축이 필요하게 되었다. 이러한 필요성에 힘입어 농업관측사업 전담기관인 한국농촌경제연구원에서는 2001년부터 농업관측정보시스템을 구축하여 이를 운영하고 있다. 최근 현재 운영되고 있는 농업관측 정보시스템에 대한 평가에 관한 논의가 진행되기 시작했지만, 이에 관한 연구는 아직 없는 실정이다. 본 연구에서는 관측정보 웹조사시스템을 중심으로 이 정보시스템을 이용자(품목별 관측모니터요원 및 품목별 관측담당 연구원)를 대상으로 농업관측정보시스템의 정보시스템 영역과 사용자영역 및 성과영역에 대한 설문을 실시하여 농업관측정보시스템의 성과 분석을 통해 평가요인을 검토하여 향후 관측정보시스템 종합적인 평가모형 개발을 위한 지표로 활용코자 한다.

• Journal of Agricultural Extension & Community Development
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• v.23 no.4
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• pp.441-448
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• 2016

The study aims to explore the problems of analysis unit when examining management performance and efficiency using DEA (Data Envelopment Analysis). Generally the DEA results depend on input, output, and analysis units. We used data from Park (2012) which analyze paddy farmers in Jeonnam province. Results show that data from farm household unit was well fitted to examine management efficiency, not data from per area unit. This study will be helpful for researchers and practitioners to understand proper analysis unit when using the DEA for enhancing farm competitiveness.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.27-57
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• 2013

The projects of agricultural R&D investments have been evaluated largely on the basis of efficiency better than equity although both criteria are equally critical in that major fund source of agricultural R&D investments is public budget. In this study, I focus on equity aspects by identifying the heterogeneous impacts of public knowledge created by R&D on farm efficiencies by farm income levels using bias-corrected DEA and quantile regression with panel data. The findings indicate that entire farms haven't been likely to be benefited evenly from public knowledge stock created by agricultural R&D, in particular high income farms can have enjoyed relatively more benefits of its in terms of efficiency gain. Those can imply agricultural R&D have functioned in the way analogue to digressive subsidies. In addition, the heterogeneous technological needs different among income level farms turns out to be main underlying factors affecting such the skewed benefit distribution of agricultural R&D over different income level farms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.265-271
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• 2016

DEA is a typical method that allows measurements and evaluations of the efficiency. This study examined the management efficiency of bean farm households to suggest factors that influence the management efficiency. The results showed that a larger cultivation area has more positive effects on the scale efficiency of beans farm households. When summing up farmer's family labor, lease fee, hired labor cost, which are strongly related to the workforce, it reached up to 54.6%. This means that they all occupy more than half of the production cost and they show an increasing trend. Moreover, although the hired labor rate is higher, it has more positive influences on the gross efficiency, technical efficiency and scale efficiency. In addition, the results showed that environmentally-friendly agriculture decreases the efficiency.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.4
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• pp.137-152
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• 2011

The purpose of this study is to estimate efficiency of agricultural business corporations using Data Envelopment Analysis. A proposed method employs a bootstrapping approach to generate efficiency estimates through Monte Carlo simulation re-sampling process. The technical efficiency, pure technical efficiency, and scale efficiency measure of the corporations is 0.749 0.790, 0.948 respectively. Among the 692 agricultural business corporations, the number of Increasing Returns to Scale (IRS)-type corporations was analyzed to be 539(77.9%). The number of Constant Returns to Scale (CRS)-type corporations was 108(15.6%), and that of Decreasing Returns to Scale (DRS)-type corporations was 45(6.5%). Since an increase in input is lower than an increase in output in IRS, an increase in input factors such as new investments is required. The Tobit model suggests that the type of corporation, capital level, and period of operation affect the efficiency score more than others. The positive coefficient of capital level and period of operation variable indicates that efficiency score increases as capital level and period of operation increases.

• Journal of Agricultural Extension & Community Development
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• v.21 no.4
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• pp.1149-1189
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• 2014

Nowadays, many farmers use online management diagnosis tool developed by Rural development agency(RDA) for the purpose of self-diagnosis of their farm management. Database(DB) was created using the diagnosis results and has been used for agri-firm management consulting. However, the amount of diagnosis data in the DB has been decreasing year by year. This means that the diagnosis tool of RDA did not reach farmers' expectation. Therefore it is necessary to develop a practical consulting tool which is applicable for various types of agri-firm management. This study introduces a management diagnosis tool and consulting method based on multi-contingency organization theory and value chain model for the purpose of improving existing tools and methods. The consulting method based on multi-contingency organization theory shows the core strategy of agri-firms by two different ways such as "efficiency-oriented" direction and "effectiveness-orientated" direction. Also, this method emphasizes that the performance of firm can be achieved when subelements of firm activities follow the same direction with the orientation of core strategy. The important thing is the right firm management activity fitted to its strategic direction. Through this action, limited firm resources can be optimized. In order to make itself understand, this study shows a practical example applied by this method from actual agri-firms.

• Korean Journal of Organic Agriculture
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• v.24 no.3
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• pp.385-412
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• 2016

This paper analyzes economic efficiency of strawberries and tomatoes farms using the data envelopment analysis (DEA). We examine how production characteristics and farm size affect overall efficiency (OE), allocative efficiency (AE), and technological efficiency (TE). We also survey sample farm households from the Farm Income Investigation database of Rural Development Administration to investigate management and cultivation techniques and to analyze economic efficiency by technique. Implications for improving efficiency are suggested in the conclusion.