• Journal of Information Processing Systems
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• v.20 no.1
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• pp.76-84
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• 2024

This study constructed a VAR model with cotton futures and spot price data from April 30, 2009 to November 16, 2022, for empirical analysis utilizing the Granger causality test to analyze the dynamic relationship between cotton futures and spot market prices in China. The impulse response function and variance decomposition analysis showed that the cotton spot prices at flowering have a causal relationship with each other; in terms of mutual influence and impact, futures prices are higher than spot prices. Finally, it proposed countermeasures and suggestions from the perspective of establishing a standardized cotton spot market, improving the laws and regulations of the cotton futures market and trading system, and optimizing the structure of investment subjects.

• Environmental and Resource Economics Review
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• v.16 no.2
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• pp.213-237
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• 2007

Discussions on regionalization of the world crude oil markets have provided important implications for the establishment of national energy policies. In particular, due to arbitrage trading, if these markets are regionalized, Korea who imports approximately 80% of the annual oil consumption from a single region may be faced with a crucial problem. Therefore, in this study, we analyzed regionalization of the world crude oil markets using causality analysis as well as cointegration method to consider temporal relationship and time lags. To analyze regionalization, we chose Dubai price for the Middle East market, Brent for the European, WTI for the U.S., and Tapis for the East Asian. For the case that long-run equilibrium existed between market prices, we used vector error correction model to analyze causal relationship, and for the case that equilibrium did not exist, we used Hsiao (1981)'s framework that can consider asymmetric time lags in the model for causality analysis. By the results of cointegration analysis, there did not exist long-run equilibrium among Dubai price and the other prices. However, we found the causal relationship among Dubai price and the other prices with one to four weeks time lags. Therefore, in effect, we could conclude that the world crude oil markets are unified supporting Adelman (1984)'s hypothesis.

• Korean Journal of Adult Nursing
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• v.21 no.6
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• pp.666-677
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• 2009

Purpose: This study was to test a theoretical model examining the relationships among social support, illness demands, marital adjustment, family coping and family functioning in couples more than three years after breast cancer diagnosis. Methods: A causal modeling methodology was used to test the specified relationships in the recursive theoretical model. A total of 60 couples with breast cancer were recruited from January to April 2005. Five standardized questionnaires were used to measure the theoretical concepts: social support (ISSB), illness demands (DOII), marital adjustment (DAS), family coping (F-COPES), and family functioning (FACESII). Results: Path analysis results from the wives and the husbands revealed different patterns. Three hypotheses were supported in the wife model as predicted: social support and family coping, family coping and family functioning, and social support and marital adjustment (trend). Five hypotheses were supported in the husband model as predicted: social support and illness demands, also social support and marital adjustment, illness demands and marital adjustment, marital adjustment and family coping, and family coping and family functioning. Conclusion: This study provides valuable information for developing various interventions with social support for improving family functioning of breast cancer couples in the middle adaption stage (more than three years after diagnosis).

• Journal of Korean Academy of Nursing Administration
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• v.8 no.2
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• pp.335-346
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• 2002

Purpose: This study is to analyze the relationship between leadership, empowerment, organizational commitment, and nursing performance. Method: The method of the study is the establishment of the analytical framework of the theoretical model and the hypotheses for the empirical survey, analysis of the data collected by the empirical survey, and the provision of a revised model explaining more clearly the causal relationship between variables. Result: Transformational leadership has greater influence on empowerment and nursing performance than transactional leadership. Self determination and impact of empowerment factors greatly influence on organizational commitment, competence and impact significantly influence on nursing performance, and organizational commitment is closely related to the general nursing affair, the human relationship, and the job as an organizational member. Transactional and transformational leadership, in provision of the revised model by verification of goodness-of-fit of the hypothetical model, affects all parts of nursing performance by intervening competence and self determination of empowerment factors. Especially, transactional leadership directly influences on nursing performance without intervening the empowerment factor. Conclusion: The conclusion of the study is transformational leadership exerts a more positive influence on empowerment, organizational commitment, and nursing performance than transactional leadership.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.124-125
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• 2018

Recently, risk analysis studies regarding the architecture development project have been carried out by applying probabilistic method. However, it had a limit that this studies was conducted in only an apartment. Therefore, the objective of this study is to develop an optimal price estimation model that can be utilized on residential officetel project by applying Monte Carlo simulation. To achieve the objective, first, the variables are selected affecting the feasibility of an officetel based on literature review. Second, causal loop diagram is constructed by arranging the relationship between variables, then the import and expense model is suggested. Third, to carry out optimized parcel price, the range limits are set for each variables then Monte Carlo simulation is performed. In the future, the developed model is expected to help decision-makers as a tool to determine both risk and feasibility of the officetel development project.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.29-38
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• 2022

Ready-made Garments (RMG) export earnings, which are almost 80% of the total exports of Bangladesh, have been recognized as one of the main catalysts for the recent development of the country. Therefore, the need to determine whether the RMG export had served as a mechanism for increasing the GDP growth as well as the economic development of the country is topical and pressing. We have applied the Johansen Co-integration test and Vector Error Correction Model (VECM) to reveal the linkage of RMG export earnings and other variables with the GDP growth rate in Bangladesh. Using data from 1990 to 2020 for Bangladesh, we have found long-run as well as short-run associations among RMG Export earnings, Foreign Direct Investment (FDI), and GDP growth. A co-integration among the variables is validated through the Johansen Co-integration test. Moreover, a causal correlation running from RMG export earnings to GDP was revealed by the Granger causality test in the long run. Finally, we estimated impulse response functions to observe the variations of model variables in response to a shock. Our result supports the proposition that RMG export earnings are one of the main growth engines in Bangladesh and this sector leads growth in other sectors also in the long term.

• Korean Journal of Agricultural Science
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• v.47 no.2
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• pp.337-347
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• 2020

Since 2012, despite the fact that tariff rate quotas (TRQ) in the form of dried peppers has not been imported, the imports of pepper-related items such as low- tariff frozen peppers (27%) and other sauces (45%) have increased, there has been a problem in the domestic pepper industry, in which the domestic self-sufficiency rate has declined. The purpose of this study was to find out whether the operation of chili pepper TRQ has the effect of suppressing the imports of pepper-related items from China. We analyzed the import substitution effect (import suppression effect) through causal analysis of the imports of red pepper TRQ, frozen peppers, and other sauces using the structural equation model analysis method. As a result of the hypothetical scenario analysis, when the government imports and releases 7,185 tons of pepper TRQ in 2019/20 (scenario), private imports were estimated to decrease by only 3,060 tons. In other words, the import substitution effect between imported items was estimated to decrease about 2,079 tons of private dried peppers, and about 981 tons of imported pepper-related items. There was an effect of suppressing the imports of pepper-related items such as frozen peppers, but it was analyzed to be insignificant. That reason was that the replacement substitution elasticity of the pepper-related items for TRQ import was less than 1 (inelastic). Therefore, it is judged that the government's operation of the pepper TRQ is preferably focused on stabilizing domestic prices rather than focusing on import control of pepper-related items.

• Journal of Korea Trade
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• v.25 no.6
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• pp.105-125
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• 2021

Purpose - This study analyzes the effects that the response to the technical barriers to trade (TBT), which are used by various countries as means to restrict imports, exerts on exports at a time when protectionism is emerging in the face of a global economic downturn. TBT has been widely used in developed countries for the safety and protection of their people. Recently, the use of TBT as a tool of protectionism has increased considerably in developing countries as well. Therefore, this study analyzes the South Korean SMEs' response and export performance. Design/methodology - To analyze SMEs' response to TBT and their export performance, this study conducted empirical analysis through statistical analysis. To this end, the research established a theory based on previous research and designed its hypothesis and research model. To verify the hypothesis and research model, factor analysis addressing validity and reliability was performed using SPSS 25 and AMOS 26, and the structural equation model was analyzed. Findings - This study found the causal relationship between the independent variable, the mediating variable, and the dependent variable adopted against the theoretical background to have little or no effect, in contrast with previous studies. In a break from previous studies, all hypotheses were rejected for innovation strategic competencies, one of the sub-factors of the independent variable, which is believed to be a result of the lack of practical research related to TBT. Originality/value - Previous studies performed analysis using trade statistics or macro data. A number of such studies analyzed the relationship between technical regulation and trade volume. This study differs from previous studies in some respects, because it analyzed the export performance of companies by establishing a hypothesis and implementing a research model with the factors analyzed in previous studies. In addition, a new attempt has been made by classifying the TBT response factors into technology competencies, human resource competencies, and innovation strategic competencies, and utilizing technology innovation and the export support system as mediating effects.

• Journal of The Korean Association For Science Education
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• v.26 no.2
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• pp.222-231
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• 2006

The purposes of this study were to survey internal engagement in science fair and explore the causal relationship between internal engagement and motivation for participation. A written questionnaire on queries into motivation for participation and internal engagement were developed and tested. The subjects were 1066 students from 4th to 9th grade who had participated in the Youth Science Contest under the auspices of the Korea Science Foundation. Interest and commitment were selected as constructing factors of internal engagement. Through exploratory factor analysis, preference, reward, and social motivation were determined to be the factors affecting the motivation to participate. Boys showed higher internal engagement than girls, and interest and commitment were found to be higher in elementary school students(p<0.01). There was no difference in interest among elementary school students; however, fourth grade students showed lower commitment than other students(p<0.01). Ninth grade students showed the lowest interest and commitment among junior high school students(p<0.01). To explore the causal relationship between internal engagement and factors influence internal engagement, path analysis was used. The selected model illustrated how reward motivation affected commitment directly, and how preference motivation affected interest directly but only commitment indirectly through interest. Reward motivation affected commitment with a standardized direct effect coefficient of 0.17. Preference motivation affected interest with a standardized direct effect coefficient of 0.75 and commitment with a standardized total effect coefficient of 0.63(direct effect; 0.27 and indirect effect; 0.36). In addition, interest affected commitment with a standardized direct effect coefficient of 0.49. Social motivation did not affect interest and commitment and reward motivation did not affect interest.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1129-1145
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• 2016

Functional neuro-connectivity is one of the main issues in brain science in the sense that it is closely related to neurodynamics in the brain. In the paper, we choose fMRI as a main form of response data to brain activity due to its high resolution. We review methods for analyzing functional neuro-connectivity assuming that measurements are made on physiological responses to neuron activation. This means that we deal with a state-space and measurement model, where the state-space model is assumed to represent neurodynamics. Analysis methods and their interpretation should vary subject to what was measured. We included analysis results of real fMRI data by applying a high-dimensional autoregressive model, which indicated that different neurodynamics were required for solving different types of geometric problems.