• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.604-633
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• 2016

In this study, we attempt to identify factors that influence the performances of Korean firms regarding global R&D cooperation, and to derive policy implications for performance improvement. The hypothetic influential factors include firms' general characteristics, purposes and types of cooperation, technology, partners and their countries, and government support. We categorize the performances of global R&D cooperation into technological, economic, and strategic performance, and analyze the effects of those factors on each of the performances as well as the overall performance. We use a standard tobit model for the overall performance, while using a multivariate tobit model for the other performances to reflect the possible correlations among them. The survey data was collected from 162 Korean firms that had previously conducted or were currently conducting global R&D cooperation.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.41-49
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• 2008

According to the demand for services. a single point contract between a user and provider spreads over the industry, and the relationship between them is a main issue. The user wants to make a deal with the contributor which can provide the effective services to the user. This study is to estimate the efficiency of global logistics industry with Data Envelopment Analysis, by nations from 2001 to 2005. Furthermore, it tries to estimate the inefficiency affected by macro factors, and proves the association between them using Tobit model. Global logistics industry has made growth both externally and internally more than doubled for the last 5years. Technical inefficiency of global logistics industry is more influenced by pure technical inefficiency than inefficiency of scale. Therefore technical efficiency can be increased by decreasing pure technical inefficiency. Through this study, it found that the logistics industry got influenced to its efficiency by high price of oil, and courier and transportation service market is formed stably. Furthermore, it advocates policy planners to consider effectiveness and clearness of policy which influence to inefficiency of logistics industry. Also, it found that labor and financial support can give critical effect.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.43-49
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• 2019

The purpose of this study is to estimate the expenditure determinants of the leisure goods consumption market. In order to achieve the research purpose, 6597 samples of household trend survey data were used. Tobit model was applied to estimate expenditure determinants. As a result of analysis, expenditure determinants for sporting goods were influenced by marital status, education level, age, number of households, housing ownership and income level. The variables influencing spending on leisure items such as mountain climbing, fishing and hunting items were influenced by gender, marital status, education level, age, number of households, housing ownership and income level. The analysis results can be used as policy data for the establishment of leisure culture. The National Statistical Office's household trend survey is a yearly survey through a nationwide survey, but despite the fact that it is reliable data, it is not possible to apply various variables such as psychological characteristics to estimate consumer expenditure determinants more concretely. Has a limit of.

• The Journal of Fisheries Business Administration
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• v.46 no.2
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• pp.111-125
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• 2015

This study is to analyze the efficiency of Korean sea food manufacturing using Data Envelopment Analysis. Firstly, based on an output oriented traditional CCR, BCC model, the study estimated the efficiency scores. The average estimates of technical, pure technical, and scale efficiency turned out 0.6517, 0.7184, 0.9074 respectively, which are separated for 50 marine corporations. The 10 DMUs were efficient under CCR model while the 17 DMUs under BCC model. Also, the study suggested that the operating profit of the two output factors should be more increased relatively and averagely from the viewpoint of efficiency improvement. Secondly, super efficiency scores are estimated under super efficiency and SBM model. As a result, it came to be possible to distinguish and rank the efficiency of the efficient DMUs. The highest score was 4.2975 under Super-CCR, was 2.4947 under Super-BCC, was 2.7160 under SBM-Super-CCR, and was 1.5319 under SBM-Super-BCC model. The average estimates of super efficiency were 0.76 and 0.82 under Super-CCR and Super-BCC model respectively, and were 0.61 and 0.67 under SBM-Super-CCR and SBM-Super-BCC model. Finally, the study conducted a rank-sum test, Wilcoxon-Mann-Whitney test, to find a statistical significance of heterogeneity existing in efficiencies among the sample corporations. The result showed that there was a significant difference in average efficiency between Dried, Salted product manufacturing and Frozen product manufacturing under BCC-Super efficiency model at 10% level of significance. Furthermore, TOBIT model was applied to find out the potential factors that might influence the efficiency, Wilcoxonand the results showed debt and sales cost influenced all of the technical, pure technical, and scale efficiency, while net profit influenced only the technical efficiency.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.46 no.3
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• pp.265-275
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• 2010

The main purpose of this study is to estimate willingness to pay (WTP) by the general publics, assuming that they pay tax or charge for protecting marine living resources and environment through developing and supplying biodegradable fishing nets. This study employed a contingent valuation method (CVM) which is an econometric method. The survey was conducted by using both double-bounded dichotomous choice and open-ended survey. Tobit model was used for the analysis. The variables included concerns about marine environment and fishing net discarded, sex, age profile, number of family members, educational level and personal disposable income. Annual average WTP per family for the biodegradable fishing net development and supply was estimated at 5,294 won and national WTP amounted to some 84.2 billion won. This includes both of use and non-use value of biodegradable fishing nets.

• Journal of the Korean Society of Food Culture
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• v.36 no.3
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• pp.284-292
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• 2021

The food service industry has grown larger with changes in the economic and socio-cultural environment. In this saturated food service industry, generation X and MZ are the main consumer forces that demand attention. That is because a generation is the main psychographic factor that reflects personal values and lifestyle based on one's life cycle. From such a perspective, a generation in marketing has been used as a variable to predict a market by supplementing demographic factors. Accordingly, this study classified generations into generation X and generation MZ with the use of the 2019 consumer behavior survey for food by Korea Rural Economic Institute (KREI) and then investigated the factors influencing group and personal dining-out expenses. The analysis was carried out applying the Tobit model using SPSS and R. The positively influential variables on generation X's personal dining-out expenditure were male, single person, high income and simple lifestyle, whereas housewives, personal ethical consciousness, behavioral ethical consciousness, and safe dietary life were negatively influential variables. The positively influential variables on generation MZ's personal dining-out expenditures were male, dual-income, high education level, corporate and governmental ethical consciousness, while the number of family members and safe dietary life were negatively influential variables.

• Korean Journal of Construction Engineering and Management
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• v.25 no.2
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• pp.45-55
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• 2024

This study analyzed the efficiency determinants of specialty construction companies by industry using the DEA model and the Tobit model. The analysis targets are 394 specialty construction companies as of 2022. As a result of analysis of efficiency determinants using 12 company characteristics as independent variables, the biggest problem for specialty construction companies was overall efficiency reduction due to rising labor costs. In addition, in a situation where construction companies' loan regulations are severe, the debt ratio was found to have a positive effect on efficiency. Company size had a different impact by industry, and the number of businesses held, credit score, and total capital turnover had an effect only on some industries. This study presents results that are an advance on existing research in that it strategically analyzes factors for improving the efficiency of specialty construction companies. However, it has limitations such as limiting the analysis to only specialty construction companies subject to external audit, insufficient number of companies subject to analysis by industry, and analyzing relative efficiency in the same category for each industry.

• Journal of Korean Society of Forest Science
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• v.88 no.3
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• pp.400-407
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• 1999

The purpose of thin paper is to test difference of the two question formats, open-ended and dichotomous choice formats, in the contingent valuation method using the estimated recreational benefits. The data were collected from the visitors at the Songnisan National Park. The recreational benefit based on the equivalent variation. The two question formats, but the same content, were asked of the same individuals. In this analysis, it was used travel cost and monthly income as the exogenous variables, which assumed a linear functional form for the WTP equation. The model assumed a bivariate normal distribution on the basis of the probit and tobit model concerning the censored zero WTP. The result showed no differences in the recreational benefits from the different question formats under a same respondent. The mean benefit was estimated 25.556 Won per 5 years per visitors.

• Journal of the Korean Regional Science Association
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• v.33 no.1
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• pp.3-16
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• 2017

This paper analyzed 16 regional total factor energy efficiency (TFEE) of the Korean manufacturing sector using data envelopment analysis method for the period of 2005-2013. According to the empirical results, it is necessary to use TFEE as well as partial energy efficiency defined by the ratio of energy usage to output (energy intensity) when we compare energy efficiency. Secondly, TFEE in the Korean manufacturing sector is quite different across 16 regions. For example, Gangwon province should improve energy efficiency by 55% compared to Seoul, Gwangju, Ulsan, and Gyeongbuk which are located on production frontier. Furthermore, the estimation of panel tobit regression model showed that the higher non fossil fuel using, the higher production share of large-sized firms, the lower energy intensity, and the lower capital-labor ratio could have positive effect on TFEE.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.61-69
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• 2020

This paper examined the operational efficiency of the new rice variety "Sindongjin" farmed by the Rural Development Administration. Thirty farmers were surveyed in the survey area--Jeonbuk-do Province. The operational efficiency was analyzed by studying the data of these 30 farmers. The operational efficiency of the farmers was analyzed through a survey using the DEA model for analysis. DEA analysis was performed to obtain the technical efficiency of the farmers. The results showed that the DEA technical efficiencies of 12 farmers were efficient, and 18 farmers were inefficient. Farmers No. 13 and No. 25 were representative of inefficiency, and the results show that the cost of input elements was high. An analysis of the determinants of efficiency through the Tobit model found that the operating efficiency increased with decreasing variable costs (Seed costs, By-product fertilizer costs, General fertilizer cost, Pesticides cost, Cost of water, electricity, gas, and Cost of small farm implements) and fixed costs (Repair cost and Other costs). There is a problem of excess input from farmers, and these input costs need to be reduced.