• Journal of Digital Convergence
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• v.16 no.12
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• pp.257-266
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• 2018

The implication of this study is that the development and market participation of the next generation eco - friendly vehicles is accelerating, and consumers 'interest is increasing. Also, the product attributes of environment - friendly vehicles and the government's policy support for the next generation eco - friendly vehicles. The purpose of this study is to investigate the effect of purchasing behavior of eco-friendly vehicles on the product attributes of eco-friendly vehicles. Economic, image, functionality, and service convenience have positive effects on consumers' purchase intention. As a result of examining the moderating effect of the government support policy between the product attributes of environment - friendly vehicles and the purchase intentions of environment - friendly vehicles, the government or municipal government has no control effect such as vehicle price subsidy, vehicle tax subsidy, Carbon tax support to prevent emissions was found to have a moderating effect of supporting 10,000 won per ton, even if 5,000 won per ton was supported. This suggests that consumers who prefer to buy eco-friendly vehicles are more likely to have environmental factors.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.111-127
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• 2023

This study is a study on user perception of ChatGPT use. The goal of this study is to analyze the relationship between user policy expectations and user innovativeness on ChatGPT technology acceptance and intention to use using variables of TRA (Theory of Reasoned Action). The impact of policy expectations and user innovativeness on the intention to use by mediating usefulness and hedonic motivation, and the impact of subjective norms on the usefulness and intention to use were analyzed by dividing them into the MZ generation and the non-MZ generation. It was verified whether there was a moderating effect on the effect of age differences on usefulness by interacting with policy expectations. An online survey was conducted on 300 ChatGPT users using PLS (Partial Least Square) structural equations and SPSS Package, and statistical analysis was performed using PLS and SPSS. According to the analysis results, it was confirmed that the higher the initial user's innovativeness, the higher the intention to use ChatGPT. In addition, the moderating effect analysis comparing the differences between the MZ generation and the non-MZ generation showed that policy expectations had a negative effect on the usefulness of ChatGPT use.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.3
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• pp.286-306
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• 2011

Based on the announcement by the National Competitiveness Council in 2008, this study analyzed the direction of the changing policy in Seoul Metropolitan Area promoted by the current government and to inquire into such the effect, research was done to study the changes in space demand by companies which respond sensitively to changes in regulation in Seoul Metropolitan Area. In addition, the effect of Seoul Metropolitan Area policy on company location is explored while company location changes and changes in direction of space demand due to easing of regulation in Seoul Metropolitan Area by the current government are examined. Research methods utilized empirical analysis and survey analysis. Empirical analysis utilized statistical data since 1980's. For survey analysis, the effect of changing policy in Seoul Metropolitan Area, which is an exogenous shock, on decision making of the enterprise is considered to derive the direction of demand for company manufacturing lots. The results of the study showed that decision for company location or factory size has been affected greatly by Seoul Metropolitan Area policy and domain regulation and institution to restrict permission area of a manufacturing building from the law of improvement plan of the Metropolitan area were the biggest regulatory policies. Due to easing of regulation in Seoul Metropolitan Area by the current government, the demand for manufacturing lot is expected to increase. In particular, the demand for manufacturing lot is expected to increase centered around Seoul Metropolitan Area and Chungcheong province while demand is expected to decrease in Gangwon province. The reason is because company preference is high for the Seoul Metropolitan Area which has the best transportation/logistics and market conditions in Korea. But in the case of Southeast region and Daegyung region that form exclusive economic zones, changing policy in Seoul Metropolitan Area has little impact. In the case of Seoul Metropolitan Area, demand increase does not occur in the entire area but instead, demand is expected to increase in growth management zones.

• Management & Information Systems Review
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• v.38 no.2
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• pp.225-240
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• 2019

It has been known that health industry clusters promote economy of a nation in a macro view and make growth and development of individual firm. As a result, Korean health industry has been grown to play a role of making a high value added in Kwangkyo, Daedeok, Wonju, and Songdo. Using 156 firms locating in health industry clusters such as Kwangkyo, Daedeok, Wonju, and Songdo in increasing value added, this study investigated the structural relationships among R&D resources, R&D collaboration, policy support, and operational performance. All hypotheses, except a hypothesis for the effect R&D resources on operational performance, are reported to be statistically significant. In other words, the positive effect of R&D resources on policy support is reported. And policy support and R&D collaboration positively affect operational performance, and also the positive effect of policy support on R&D collaboration is reported. From the empirical results, we can know that policy support and R&D collaboration are the crucial factors to promote operational performance of the firms locating in Korean health industry clusters. It is important that this study has been investigated with the firms of health industry developing economy of a nation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.95-114
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• 2020

This paper, a meta-analysis of the effect of the start-up support policy on the start-up performance was conducted to examine the effect of the start-up support policy on the start-up performance of beneficiary companies and to provide theoretical and practical implications to support organizations and practitioners. To this end, 35 papers containing the correlation coefficient, which is a positive statistical value, were selected from the previous studies in academic journals and dissertations published in Korea from 2007 to 2020. In the preceding study of the start-up support policy, the independent variables include funding, education support, facility/equipment support, network support, mentoring support, consulting support, marketing support, management support, technical support, manpower support, and finance as a dependent variable. The effect size of the impact on aptitude and non-financial performance was reviewed. The pattern of the effect size was presented as a forest plot for easy visual understanding, and outliers were verified through sensitivity analysis for small-study-effect data with publication convenience. As a result of analyzing the effect size of the government-supported policy, it was verified that the effect size was generally medium or higher, affecting the entrepreneurial performance. Among the independent variables, the factor that has the greatest effect on startup performance is manpower support, followed by technical support, marketing support, management support, facility/equipment support, education support, mentoring support, funding, network support, and consulting support. It was analyzed that the effect size was large in order. As the 「Small and Medium Business Startup Support Act」 was recently reorganized from the manufacturing industry to digital transformation and smartization on October 8, 2020, the start-up support policy should consider the start-up stage and verify the priorities to organize the budget.

• Asian Journal of Innovation and Policy
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• v.10 no.1
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• pp.1-38
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• 2021

The paper examines the role of the informal sector on innovation activities of urban formal manufacturing enterprises in India. It provides empirical evidence on firm-level linkages between formal and informal sectors by using the World Bank Enterprise Survey, 2013-14 and the Innovation Follow-up survey, 2014. Primarily, the paper aims to examine the effect of informal sector competition on innovation in urban formal manufacturing enterprises in India. Secondly, the paper analyses the mediation effect of informal sector competition on innovations in the urban manufacturing enterprises. It determines the direct and indirect influence of business regulations and constraints on innovation outcomes through the mediation effect of informal sector competition by using the SEM "Structural Equation Modeling" guidelines. The econometric results show that informal sector competition has a negative effect on the introduction of product innovations while industry-level informal sector competition has a positive effect on product innovation through the local knowledge spillovers from the informal to the formal sector. However, the informal sector competition was found to have no significant effect on the probability of introducing process innovations. Further, the results show the inhibitive role of informal sector competition on innovation in urban formal manufacturing enterprises is more severe for firms with heavy regulatory burdens and is relatively weakened in firms with resource constraints. This suggests that the informal sector plays an important role in the NIS (National Innovation System) in India.

• Health Policy and Management
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• v.32 no.1
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• pp.29-44
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• 2022

Background: This study was conducted to analyze the impact of having a usual source of care on health behaviors of the middle aged and the elderly, in order to investigate the potential effect of enhancing primary health care in a Korean context. Methods: This study constructed a balanced panel of middle-aged and elderly samples using the Korea Health Panel 2016-2018, and fixed-effect models were used to analyze the data. Results: Among three sets of dependent variables (physical activity, smoking, drinking), statistically significant results were found only in physical activity. Subgroup analysis showed that this effect was not observed in the late elderly (aged 75 and older) and those without chronic diseases. Conclusion: Results of the study implied that enhancing primary health care among middle age and the elderly may have an effect on improving health behaviors. Moving forward to person-centered primary health care from disease-focused primary health care should be considered in high-risk groups such as the middle aged and the elderly with chronic diseases.

• The Journal of Fisheries Business Administration
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• v.31 no.1
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• pp.13-32
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• 2000

This study tries to give an insight for fisheries policy makers to prepare policy proposals for Early Voluntary Sectoral Liberalization(EVSL) in the fisheries sector of APEC. To do so, the paper assesses the impact of EVSL on the fisheries sector, especially, Korean Deep-See Fisheries in quantitative way using the partial equilibrium analysis of Feenstra(1995). For the use of simple analysis, the paper focuses on the impact on trade flows and welfare of the elimination of tariffs on Korean Deep-See Fisheries among several measures of EVSL. The results from the quantitative analysis of the impact of EVSL on the Korean Deep-Sea Fisheries indicate that the increase of export is moderately higher than that of import and the total welfare effect is positive, even though a certain Deep-Sea Fisheries confronts a reduction of domestic supply basis.

• Journal of the Korean housing association
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• v.10 no.1
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• pp.85-95
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• 1999

The purpose of this study was to analyze the motives of residential mobility and variables which effect it through surveying questionaires of 240 housewives who lived in a tenement house. The analytical methods adopted in this study were factor analysis, one-way ANOVA, Duncan's multiple range test, multiple regression analysis. The SPSS+ program was used in analysis. The major findings were as follows: First, the motives were composed of 6 factors ; housing improvement, housing policy, accumulation of property, comfortable residential environment, educational environment, traffic convenience. Second, there were a significant differences in residential mobility according to socio-demographic and housing variables. Third, in analysis of variables which effect residential mobility, a housing improvement influenced by socio-demographic variables, an comfortable residential environment influenced by housing variables and also family life cycle was a variable that effect factors such as housing policy, accumulation of property, educational environment and traffic convenience.

• Environmental and Resource Economics Review
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• v.11 no.3
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• pp.493-513
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• 2002

This empirical study analyzed the policy effect of deregulation in oil product prices. To investigate the effect of deregulation, it is tested whether gasoline prices are determined by market power. Also, the role of government in gasoline tax system is investigated. The empirical analysis has been done by using error correction model. The major findings are as follows. First of all, no significant empirical evidence is found to support that the deregulation affects the determination of gasoline prices. Secondly, the short-term CIF elasticity is estimated to be 0.14. This finding implies that if CIF increases 10%, the gasoline prices increase 1.4%. Finally, the investigation on government role in deregulated market shows that the government has still exercise the power of control through the tax system. For example, the government is seemed to increase the gasoline price more than the increase amount caused by the international oil prices and the exchange rates, because of the intention to achieve the internal revenue increases and lead to gasoline conservation.