• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.453-468
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• 2020

This study was conducted to investigate factors influencing physical activity in female nursing students based on the habit formation model. The participants were 207 female students at G nursing college and J nursing college located in J city. All data were collected from 31, August to 14, September in 2020 and analyzed by descriptive statistics, ANOVA and Scheffĕ test, Pearson's correlation coefficient, Univariate, and Multivariate multinomial logistic regression using SPSS/WIN 22.0 program. The average level of physical activity measured by the Korean version of IPAQ was 2506.31±2807.05 MET-min/week. According to the physical activity category classified by IPAQ, there were 59students(28.5%) in the high group, 98students(47.3%) in the moderate group, and 50students(24.2%) in the low group. Physical activity habit strength was the significant factor influencing physical activity in female nursing students. Therefore, this study suggests that it is necessary to develop the habit formation program and verify effectiveness for enhancing and maintaining the physical activity in female nursing students.

• Journal of Korean Society of Rural Planning
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• v.24 no.4
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• pp.121-134
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• 2018

By using the raw data of the 2015 Agriculture, Forestry and Fishery Consensus that surveyed the farmers engaged in agriculture, forestry and fishery in 2015, this study investigated the effects of the characteristics of the farms in Gangwon-do on the utilization of the digital devices, which was classified into computers usage only, smartphones usage only, both computers and smartphones usage, and no digital device usage. This study used the Multinomial Logit Model for the above purpose. Moreover, the IIA(Independence of Irrelevant Alternatives) method of the Multinomial Logit Model was analyzed to be suitable. Upon the result of the analysis, when all the other variables were constant in the average, the probability of choosing both computers and smartphones increased by 0.02% as the family member living together with the farm owner increased by 1 person. In addition, the farms with agricultural machineries have 0.03% increased probability of using smartphones to sell their agricultural products, when compared with the farms without agricultural machinery. Moreover, for the farms with high sales profit of the agricultural products, the probability of using computers and the probability of using smartphones increased by 0.04% and 0.01%, respectively, and the probability of using both computers and smartphones increased by 0.02%. On the other hand, for the farms affiliated with the agricultural organization, the probability of using both computers and smartphones increased by 0.17%, and the probability of using only smartphones and the probability of using only computers increased by 0.16% and 0.15%, respectively. In case of selling to the National Agricultural Cooperative Federation(NACF), the probability of using smartphones increased by 0.11% if all other variables were to be constant in the average. In particular, the farms participating in the agriculture-related industries have 1.09% increased probability of using computers, have 0.92% increased probability of using smartphones, and 0.85% increased probability of using both computers and smartphones. Therefore, the implications suggested based on the results of the analysis are as follows. First, the farms' choices of the digital devices are made independently. Hence, the future agricultural industry business platform establishment should necessarily consider the types of farms' choices of the digital devices in the future. Second, since the usage of digital devices has a generally positive influence on the farm household income, digital education to improve farmers' ability to use the digital devices should be urgently provided in order to improve the farm household income in the farms in Gangwon-do. Third, because the digital devices used to sell agricultural products differ depending on the age of the farm owner, it would be desirable to target the younger generation of the farm owners rather than establishing the agricultural industry business platform for the farms in the aged farm villages. Fourth, it would be advisable for the future agricultural business platform to consider the characteristics of agricultural products sales source.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.352-362
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• 2019

The study investigates one of the long-standing, but still controversial issues in modern finance from the international and domestic perspectives. That is, financial components and differences on corporate profitability are identified and compared under the primary hypotheses. Empirical research settings include the sample data as KOSPI-listed chaebol firms, time reference covering the post-era of the global financial turmoil and two differently defined profitability indices measured by the market- and the book-value bases. A majority of total 7 explanatory variables except firm size and leverage ratio reveal their statistically significant power to explain profitability indices for the chaebol firms in the first hypothesis. The results are generally compatible with those obtained from their counterparts of non-chaebol firms. In the second hypothesis applying multinomial logistic model, the chaebol firms are classified into three groups according to the level of profitability. It is then confirmed that variables to represent the market-valued debt ratio, business risk and growth potential are financially discriminating factors among the three groups. The study may provide a new vision to identify financial factors of corporate profitability for Korean chaebol firms after the global financial crisis, which can enhance the benefits of interested parties at the government or corporate level in a virtuous cycle.

• Journal of the Korean Society for Railway
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• v.19 no.1
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• pp.87-96
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• 2016

The multinomial logit model, based on random utility maximization (RUM) theory, has been the predominant model used in travel mode choice contexts. In this paper, the travel mode choice model based on random regret minimization (RRM) theory is proposed as an alternative to the RUM model, and the applicability of the RRM model is examined. The presented model is applied to the case of inter-city travel mode choice in Korea. The empirical results show that the RUM model and RRM model have parameters that are consistent with the intuition. The goodness of fit statistics in the RRM model improved compared with the results of the RUM model. Consequently, these results show the possibility of using the RRM model in the context of travel mode choice.

• Korean Journal of Organic Agriculture
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• v.16 no.2
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• pp.189-204
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• 2008

The objective of this paper is to analyze consumers' consumption behavior of environment-friendly mandarin and attributes of mandarin in Korea. It is also to measure consumers' marginal willingness to pay by the attributes of mandarin and to estimate the market-share by products of mandarin from the data surveyed by a survey research company. The questionnaires for consumers were given randomly by interview to 500 married women lived in Seoul and to 200 wholesaler in Seoul, Busan, Daegu, Kwangju. The conjoint analysis method was used to analyze consumers' preference and suggest several implications for the rational production and marketing policy of mandarin.

• Communications for Statistical Applications and Methods
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• v.14 no.1
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• pp.81-92
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• 2007

This paper consider trinomial group testing concerned with classification of N given units into one of k disjoint categories. In this paper, we propose Bayesian inference for estimating individual category proportions using the trinomial group testing model proposed by Bar-Lev et al. (2005). We compared a relative efficience (RE) based on the mean squared error (MSE) of MLE and Bayes estimators with various prior information. The impact of different prior specifications on the estimates is also investigated using selected prior distribution. The impact of different priors on the Bayes estimates is modest when the sample size and group size we large.

• Ocean and Polar Research
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• v.33 no.2
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• pp.149-157
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• 2011

As tourist are becoming increasingly environmentally conscious, government and related companies need to establish policies or strategies that encourage ecotourism. The aim of this study is to analyze individual preferences and estimate shadow prices, namely, willingness to pay for coastal wetland ecotourism. This study applies a contingent choice method to measuring marginal WTP for each attribute (tour duration, number of visitors, guide, program) of coastal wetland ecotourism. The finding herein contribute to complementing the valuation methods by estimating various attributes of coastal wetland ecotourism and providing policy-makers with useful methodological framework and quantitative information in the decision-making process related to ecotourism.

• Journal of Labour Economics
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• v.35 no.2
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• pp.117-146
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• 2012

This study demonstrates the gender difference in the factors that affect job changes and the resulting wage changes in the recent Korean labor market. By using the KEAPS (2003-2007), we found that male workers uniquely tend to stay longer at their current jobs when they have families to support. After controlling self-selection bias, we also found that wage changes resulting from switching jobs differ between male and female workers during this studied period.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.207-215
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• 2017

In this paper we study pooling effects in Bayesian testing procedures of independence for contingency tables from small areas. In small area estimation setup, we typically use a hierarchical Bayesian model for borrowing strength across small areas. This techniques of borrowing strength in small area estimation is used to construct a Bayes test of independence for contingency tables from small areas. In specific, we consider the methods of direct or indirect pooling in multinomial models through Dirichlet priors. We use the Bayes factor (or equivalently the ratio of the marginal likelihoods) to construct the Bayes test, and the marginal density is obtained by integrating the joint density function over all parameters. The Bayes test is computed by performing a Monte Carlo integration based on the method proposed by Nandram and Kim (2002).

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.181-190
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• 2007

The purpose of this study is to analyze the effects of the regional characteristics on traveler's mode choice - private car, bus, and subway - by developing multinomial legit model for commuting and shopping trips respectively. In results, this study argues that the regional characteristics affecting commuting trips are very different from those influencing shopping trips. The research on the regional characteristics and their impact on the individuals' travel mode choice can find these variables have a significance.