• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.133-143
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• 2023

The detrimental impacts of financial instability on the world economy during the financial crisis highlighted the requirement to understand the existing financial circumstances. Stability and developments in financial conditions are important for economic prosperity. This study analyses the impact of geopolitical risk on the economic conditions of some specific emerging economies using monthly data from January 1999 to September 2016 by applying a fixed-effects panel data model. The estimation results demonstrated that geopolitical risk has a significant, negative impact on financial conditions. It shows geopolitical risk could be seen as a key factor that contributes towards financial conditions. Further, it implies that negative shocks of high geopolitical risk experienced by emerging economies are one of the primary reasons for the financial conditions' deterioration. The findings provide important insights for governments, policymakers, and investors. For instance, governments and politicians should refrain from expressing or producing tension, economic discomfort, or news that is likely to increase a high geopolitical risk. Maintaining a close eye on geopolitical risk and its sources may also help to stabilize financial conditions and develop a well-functioning financial system. As a result, investors would be better informed about an economy's economic and financial conditions, allowing them to diversify their international portfolios and devise investing strategies during uncertain economic times.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.219-220
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• 2021

It is considered that the construction industry is one of the pivotal players in the national economy in terms of Gross Domestic Production (GDP) and employment. Behind the positive role of this industrial sector to the national economy, the construction industry generates approximately 50 % of the total waste generation from all the industrial sectors. There are several measures to mitigate the adverse impacts of the construction waste such as reduce, reuse and recycle. Recycling would be one of the effective strategies for waste minimisation, which would be able to reduce the demand upon new resources as well as enhance reusing the construction materials on sites. The automated construction waste classification system would make it possible not only to reduce the amount of labour input but also mitigate the possibility of errors during the manual classification process. In this study, we proposed an automated waste segmentation and classification system for recycling the construction and demolition waste in the real construction site context. Since the practical application to the real-world construction sites was one of the significant factors to develop the system, a YOLACT (You Only Look At CoefficienTs) algorithm was chosen to conduct the study. In this study, it is expected that the proposed system would make it possible to enhance the productivity as well as the cost efficiency by reducing the manpower for the construction and demolition waste management at the construction site.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.17-28
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• 2024

Purpose: This paper is designed to deliver a deeper understanding of the implications of digitalization strategies in the tourism industry, exploring the opportunities and challenges in South Korea. Research design, data and methodology: To identify effective strategies, an integrated approach is employed in the research that encompasses the Glocal RPM analysis and SANEL HERMES model, as well as the examination of digital tourism factors within the DIANA economy. The data used for this study were derived from multiple sources, including literature review, participation interview, tourist survey and expert questionnaire. By conducting a tourist survey using questionnaires in this research, Glocal RPM and SANEL HERMES hybrid method is used identifying and classifying influencing factors limiting digitalization in tourism. As a final step, experts use a Quantitative Strategic Planning Matrix to propose, assess, and rank a number of digitalization strategies. Results: According to the analysis, the study revealed that combining both tools contributes to a more holistic understanding of the environment, uncovering the positives and negatives from diverse perspectives. The average satisfaction percentage of experts was determined to be 38%, indicating anatal level of digitalization for tourism industry in South Korea. Conclusions: These results can serve as a valuable guide for policymakers and stakeholders in formulating targeted strategies to enhance glocalization, rationality, professionalism, and morality within the digitalization context.

• Trans-
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• v.16
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• pp.33-68
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• 2024

In a rapidly growing digital economic environment, NFT has emerged as a hot topic in the art field. However, in China, NFT art is developing slowly due to constraints related to China's political economy and socio-cultural situation. Due to strict management and control, the circulation of cryptocurrency is limited, and the level of public awareness and acceptance of NFT art and market maturity are still low. Despite these limitations, this paper predicts that Chinese art creators and market participants can build an online personal art IP model that suits the characteristics of the Chinese market and explores the current status and possibilities.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.509-523
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• 2024

Purpose - The purpose of this study was to analyze the impact of the National Space Policy on Korean space-related companies. Design/methodology/approach - This study utilized space sector firm-level data based on the list of the Space Industry Survey (MSIT, 2023). The multiple regression analysis was used to estimate the model. Findings - First, the lagged policy variable of the Master Plan for Promotion of Space Development positively influences the company's sales. However, the establishment of an Action Plan for Utilization of Satellite Information had no significant result. Second, small-sized enterprises were more sensitive to government policy than medium- and large-sized enterprises. Third, lagged policy variables positively impact firms' sales revenue, especially in the satellite manufacturing and the satellite utilization services and equipment sector. Research implications or Originality - First, support for companies with policy effects should be further expanded. Second, a long-term and stable budget procurement plan should be established to secure a firm's sustainable competitiveness. Lastly, given the characteristics of the space industry, which involves long-term development periods and large investments, government investment should continue. Simultaneously, institutional improvement needs to emerge new services in the space sector.

• Journal of the Korean Regional Science Association
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• v.9 no.1
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• pp.65-78
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• 1993

In this study, the significant and enduring concentration of federal R&D spending in metro-scale clusters across the nation is treated as evidence of the operation of a distinct industrial infrastructure defined by the ability of R&D performers to attract external funding and pursue the sophisticated project work demanded. It follows, then, that the agglomerative potential of these R&D concentrations -- performers and their support infrastructures -- requires a search for economic impacts guided by a different stimulative effects attributable to federal R&D spending may be that substantial subnational economic impacts are routinely obscured and diluted by research designs that seek to discover impacts either at the level of nation-scale economic aggregates or on firms or specific industries organized spatially. Therefore, this study proceeds by seeking to link the locational clustering of federal contract R&D spending to more localized economic impacts. It tests a series of models(X-IV) designed to trace federal contract R&D spending flows to economic impacts registered at the level of metro-regional economies. By shifting the focus from funding sources to recipient types and then to sector-specific impacts, the patterns of consistent results become increasingly compelling. In general, these results indicated that federal R&D spending does indeed nurture the development of an important nation-spanning advanced industrial production and R&D infrastructure anchored primarily by two dozed or so metro-regions. However, dominated as it is by a strong defense-industrial orientation, federal contract R&D spending would appear to constitute a relatively inefficient national economic development policy, at least as registered on conventional indicators. Federal contract R&D destined for the support of nondefense/civilian(Model I), nonprofit(Model II), and educational/research(Mode III) R&D agendas is associated with substantially greater regional employment and income impacts than is R&D funding disbursed by the Department of Defense. While federal R&D support from DOD(Model I) and for-profit(Model II) and industrial performer(Model III) contract R&D agendas are associated with positive regional economic impacts, they are substantially smaller than those associated with performers operating outside the defense industrial base. Moreover, evidence that the large-business sector mediates a small business sector(Model VI) justifies closer scrutiny of the relative contribution to economic growth and development made by these two sectors, as well as of the primacy typically accorded employment change as a conventional economic performance indicator. Ultimately, those regions receiving federal R&D spending have experienced measurable employment and income gains as a result. However, whether or not those gains could be improved by changing the composition -- and therefore the primary missions -- of federal R&D spending cannot be decided by merely citing evidence of its economic impacts of the kind reported here. Rather, that decision turns on a prior public choice relating to the trade-offs deemed acceptable between conventional employment and income gains, the strength of a nation's industrial base not reflected in such indicators, and the reigning conception of what constitutes national security -- military might or a competitive civilian economy.

• Journal of Energy Engineering
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• v.25 no.4
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• pp.37-52
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• 2016

This study attempts to compare the role of the oil refinery industry in the Korean and Japanese national economy using an inter-industry analysis. First of all, the study conducts a comparative analysis on production-inducing effects and value-added creation effects of the oil refinery industry based on demand-driven model. Moreover, we investigate the supply shortage effects and sectoral pervasive effects of price change by using supply-driven model and Leontief price model, respectively. These analyses have been done by specifying the oil refinery industry as not endogenous but exogenous. The results show that1 won of production or investment in the oil refinery industry induces 0.2620 won and 0.6537 won of production in other industries of Korea and Japan, respectively. The former is less than the latter. It also creates 0.0946 won and 0.0536 won of value-added in other industries of Korea and Japan, respectively. The first is larger than the second. The effects of 1 won of supply shortage in oil refinery industry on other industries are computed to be 0.9657 won and 1.4476 won for Korea and Japan, respectively, and thus the former is smaller than the latter. Finally, the pervasive effects of 10% price change in oil refinery industry are estimated to be 0.3819% and 0.3409% in Korea and Japan, respectively, and thus the first is larger than the second.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1282-1290
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• 2017

Since the mitigation of fear of crime significantly enhances the consumptions in a city, studies focusing on urban safety analysis have received much attention as means of revitalizing the local economy. In addition, with the development of computer vision and machine learning technologies, efficient and automated analysis methods have been developed. Previous studies have used global features to predict the safety of cities, yet this method has limited ability in accurately predicting abstract information such as safety assessments. Therefore we used a Convolutional Context Neural Network (CCNN) that considered "context" as a decision criterion to accurately predict safety of cities. CCNN model is constructed by combining a stacked auto encoder with a fully connected network to find the context and use it in the CNN model to predict the score. We analyzed the RMSE and correlation of SVR, Alexnet, and Sharing models to compare with the performance of CCNN model. Our results indicate that our model has much better RMSE and Pearson/Spearman correlation coefficient.

• Wind and Structures
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• v.23 no.5
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• pp.405-420
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• 2016

Section model wind tunnel test is currently the main technique to investigate the flutter performance of long-span bridges. Further study about applying the wind tunnel test results to the aerodynamic optimization is still needed. Systematical parameters and test principle of the bridge section model are determined by using three long-span steel truss suspension bridges. The flutter critical wind at different attack angles is obtained through section model flutter test. Under the most unfavorable working condition, tests to investigate the effects that upper central stabilized plate, lower central stabilized plate and horizontal stabilized plate have on the flutter performance of the main beam were conducted. According to the test results, the optimal aerodynamic measure was chosen to meet the requirements of the bridge wind resistance in consideration of safety, economy and aesthetics. At last the credibility of the results is confirmed by full bridge aerodynamic elastic model test. That the flutter reduced wind speed of long-span steel truss suspension bridges stays approximately between 4 to 5 is concluded as a reference for the investigation of the flutter performance of future similar steel truss girder suspension bridges.

• Journal of the Korean Society of Costume
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• v.64 no.1
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• pp.18-30
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• 2014

As economy is growing and income level is increasing, more people are pursuing relaxation and leisure in their life. As the sports market in Korea is flourishing, sports wear companies have begun to focus marketing their brand by carefully selecting advertising models in order to get more exposure for their brands. The purpose of this study was to analyze, the effects of the advertising model types had on the company's brand recognition, and consumer subjectivity on consumer's preference and purchasing intention were studied. The subjects for the study were 260 men and women in their 20~30s living in Seoul and Gyunggi province. Three-way ANOVA was conducted for the data analysis. The results showed significant interactions between the three independent variables on preference. Although there were various advertising model types due to the improvement of media, (brand advertisement employing) the well known celebrity model was more effective for raising consumer brand awareness compared to non-celebrity models.