• Journal of Korean Society of Rural Planning
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• v.24 no.3
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• pp.55-62
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• 2018

This study analyze factors influencing business performance by types of agricultural corporation for improving performance. The number of agricultural corporations have been increasing but their profitability has been decreasing. In this situation, it is important to analyze factors influencing business performance for improving their profitability. We estimate a model including financial indexes and corporation's characters using ordinary least square. We use agricultural corporations survey data for 10years(2005~2014) of Statistics Korea. This study analyze bookkeeping recorded agricultural corporations for the same period. As a result, we find factors to influence Return on Assets(ROA). Additionally, we calculate optimized current ratio and debt ratio for ROA maximization. Operation period and the number of full-time workers also have a positive effect on ROA. Agricultural production, processing and distribution variables by business types have a positive effect on ROA, but some of their interaction terms have a negative effect on ROA. We expect that this result will help for improving corporation's business performance.

• Agribusiness and Information Management
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• v.11 no.1
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• pp.1-9
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• 2019

This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.3
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• pp.428-434
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• 2015

A stockperson has a significant influence on the productivity and welfare of his animals depending on his stockmanship competence. In this study, stockmanship competence (SC) is defined as the capacity of the stockperson to ensure the welfare of his animals by providing his animals' needs. The study was conducted to evaluate the SC of backyard goat raisers and examine its relationship to goat productivity and economic profitability. There were 101 respondents for this study who have all undertaken farmer livestock school on integrated goat management (FLS-IGM). Interview was conducted in Region I, Philippines on September 3 to 30, 2012 and March 4 to 17, 2013. Data on SC, goat productivity and farmer's income were gathered. Questions regarding SC were formulated based on the Philippine Recommendations for Goat Production and from other scientific literature. Housing, feeding, breeding and health and husbandry management were the indicators used in computing stockmanship competence index score (SCIS). Pearson correlation using Statistical Package for Social Science (SPSS) was carried out to analyse the relationship between SCIS, productivity and income. Based from the results of the study, a majority of the respondents raised native and upgraded goats. The computed mean SCIS before and after undergoing FLS-IGM were 38.52% and 75.81% respectively, a percentage difference of 65.23%. Both index scores resulted in significant differences in productivity and income. The median mature weight and mortality rate of goats before FLS-IGM was 14 kg and 30% respectively. After FLS-IGM, median mature weight was 19 kg and mortality rate decreased from 30% to 11.11%. Likewise, fewer goat diseases were observed by farmers who were able to undergo FLS-IGM. With regard to income, there was a 127.34% difference on the median net income derived by farmers. Result implies that improved SC could lead not only to increased productivity and income of backyard goat raisers but also to better animal welfare.

• 한국벤처창업학회:학술대회논문집
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• 2006.04a
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• pp.77-104
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• 2006

Utilizing the patent application data between 1997 and 2002, this study focuses on analysing the impact of patents on firm value. Especially we attempt to examine the difference of patents between venture firms and general firms. This paper first shows that the number of the patent applications of general firms listed on the securities market are more than those of venture firms listed on KOSDAQ. It is thought that this result is originated from facts that the size of firms of the securities market is usually bigger than the firms of KOSDAQ and that these large firms could manage R&D more efficiently. Second, this paper reports that there is no difference in the ratio of patent maintenance between venture firms and general firms. Both venture firms and non-venture firms would do their best to keep their patents after patent regisration. Third, in the regression of patent index and firm growth, we find that the excellence of patent and the number of patents per employee would have an impact on the growth of firms. Fourth, the regression of patent index and profitability shows that the excellence and the number of patents per employee might have an effect on the profitability of firms.

• Korean Journal of Agricultural Science
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• v.26 no.1
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• pp.100-108
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• 1999

This paper reviews some methods on evaluating the impacts of low input farming on profitability, environments and human health. Measuring diverse effects of low input farming on the environmental economic aspects of agriculture poses a challenge because of difficulty in placing the objective value judgement on those impacts. This Study attempts to identify the individual attributes of low input agriculture and to examine the method of consturcting a simple index after assessing its marketed or non-marketed values in numerical terms. Validity of integrating socio-economic value of low input agriculture, which might be measured by multiple criteria approach, into a single index can be criticized. However, it might be meaningful in that this study suggest the guidance for how to assess the environmental and economic value of low input agriculture by single criteria and the possibility of overcoming the controversial subjectivity in weighing the different impact criteria.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.547-553
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• 2022

This study analyzed the changes in the operational productivity of fourteen Korean container lines from 2019 to 2021 using MP I(Malmquist Productivity Index). The results indicated that the operational productivity of the shipping companies has increased by 38.4% annually, representing the TCI (Technical Change Index) increasing by 58.3% and the TECI (Technical Efficiency Change Index) decreasing by 12.6%. The increase in the operational productivity of the container shipping lines was mainly attributed to the high rise in ocean freight rates rather than an increase in fleet size or ship technical efficiency. However, the deep-sea shipping lines (i.e. HMM and SM lines) experienced increases in both the TCI and TECI, which was not the case for other shipping lines(i.e. Intra-Asian short-sea shipping lines). The intra-Asian short-sea shipping lines enhance their productivity due to the TCI but failed to appreciate the cost savings of the increased fleet effects due to the low SECI(Scale Efficiency Change Index) values.

• Journal of Distribution Science
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• v.15 no.12
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• pp.95-102
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• 2017

Purpose - This study aims to develop diagnostic indices for managerial performance of agro-food distribution corporations. In particular, weights of diagnostic indices were estimated using the AHP method. Management diagnosis on agro-food distribution corporations is expected to increase their competitiveness in the domestic market as well as in international markets. Research design, data, and methodology - It develops weights or importance of the diagnostic indices based upon the survey of 21 experts in food distribution management. The survey was carried out using e-mail. Management diagnostic indices were developed based upon four BSC(Balanced Scorecard) perspectives of finance, learning/growth/leadership, customer, and internal process/technology. Results - Diagnostic indices on financial perspective consist on profitability, productivity, growth, stability and activity. Learning and leadership perspective indices consist of management will, CEO leadership, level of learning, innovation, and level of management information system. Customer perspective indices are branding, customer and channel management and internal process/technology indices consist of fourteen sub-indices representing technologies, efficiency, and dynamics. It was estimated that the weight of financial perspective index was 0.3, internal process/technology perspective index 0.248, customer category index 0.247, and learning, growth and leadership perspective index 0.205. This study also estimates weights of sub-indices for managerial diagnosis by four different perspectives. Estimated weight of profitability (0.085) is the greatest among financial perspective indices, followed by stability (0.072), growth (0.053), productivity (0.051), and activity (0.038). While estimated weights of leadership, capability, and information indices are 0.100, 0.061, and 0.044 respectively, weights of marketing, customer management, and quality and service indices are 0.104, 0.093, and 0.051, respectively. Among internal process/technology perspective, estimated weights of efficiency, technology, and innovation indices are 0.106, 0.088, and 0.054, respectively. Conclusions - The diagnostic indices for managerial performance of agro-food distribution corporations would be utilized by agro-food distribution corporations themselves, extension service institutions, and consultants. It is also expected that central and local governments use diagnostic indices developed in this study for the purpose of evaluating the effects of governmental support programs for agro-food distribution corporations. Futhermore researchers and consultants would modify diagnostic indices developed in this study, reflecting characteristics and situation of types of agro-food distribution corporations.

• The Journal of Small Business Innovation
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• v.20 no.2
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• pp.35-50
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• 2017

The aims of this study is to analyze the effectiveness of firms financial status quo and the scale of financial support on SMEs overall performance. We have gathered the financial guarantee data from 1998 to 2013, provided by Korea Credit Guarantee Fund (KODIT), to analyze the effectiveness of Financial policy. To classify both financial status quo and scale of financial support, we utilized the following variables; Interest Coverage Ratio (ICR) and newly guaranteed amount ratio. To take the measurement of the overall performance, we employed profitability, growth ratio and activity index. To minimize the effect of repeated financial support (redundancy benefits), firms were selected based on the following criteria: firms that receive no financial support prior to implementing such policy over the last 3 years and no new financial support over the last 2 years. Results suggest that firms with higher ICR and large newly guaranteed amount influence on financial performance in terms of profitability index. Firms with lower ICR and large scale financial support showed a better performance compare to firms with small-scale financial support. Firms with large-scale financial support, irrespective of ICR inclined to have better performance to those of small-scale financial support in terms of growth index. For activity index, however, firms with large scale support led to higher performance in the short term. In turn, our analysis presents objective perspective with respect to the effectiveness of financial policy through credit guarantee on overall performance of SMEs. This study, therefore, implies that well-balanced SMEs supporting policy may lead to better directions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.158-167
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• 2017

This paper presents the technology rating methodology that is applicable to defense R&D technology. First, a technology profitability index was developed using multiple regression analysis to forecast the revenue from technology transfer. Secondly, the technology evaluation index was derived using hierarchical analysis with expert opinion. Finally, the weighted average of the technology profitability index and technology evaluation index were calculated to derive the technology rating. This study is significant in that it is first attempt to evaluate defense R&D technology by rating. If the defense R&D technology rating methodology is applied in practice, it can contribute to efficient R&D budget allocation. In addition, it will help in the vitalization of technology transfer in the defense R&D sector.

• Agricultural and Biosystems Engineering
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• v.5 no.1
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• pp.10-20
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• 2004

Precision agriculture aims to minimize costs and environmental damage caused by agriculture and to maximize crop yield and profitability, based on information collected at within-field locations. In this process, quantification of soil physical properties, including soil strength, would be useful. To quantify and manage variability in soil strength, there is need for a strength sensor that can take measurements continuously while traveling across the field. In this paper, preliminary analyses were conducted using two datasets available with current technology, (1) cone penetrometer readings collected at different compaction levels and for different soil textures and (2) tillage draft (TD) collected from an entire field. The objective was to provide information useful for design of an on-the-go soil strength profile sensor and for interpretation of sensor test results. Analysis of cone index (CI) profiles led to the selection of a 0.5-m design sensing depth, 10-MPa maximum expected soil strength, and 0.1-MPa sensing resolution. Compaction level, depth, texture, and water content of the soil all affected CI. The effects of these interacting factors on data obtained with the soil strength sensor should be investigated through experiments. Spatial analyses of CI and TD indicated that the on-the-go soil strength sensor should acquire high spatial-resolution, high-frequency ($\ge$ 4 Hz) measurements to capture within-field spatial variability.