• Asian Journal of Innovation and Policy
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• v.4 no.1
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• pp.1-18
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• 2015

Most research on Official Development Assistance (ODA) targeted the recipients, but this study examines the effect of ODA on the donor's exports to the recipient. To do this, a panel analysis was carried out with ODA and macroeconomic data on the United States and 33 other countries from 1999 to 2009. The results are summarized as follows: (1) The economic influence on the donor varies with the recipient's localization effort. (2) High-tech exports to the recipient are independent of ODA. (3) In medium-to-low-technology areas, ODA has a positive effect on exports to the recipient with low absorption efforts. (4) Both High-tech and LM-tech product exports decreases with the technological innovation efforts of recipients with high absorption efforts, while High-tech product exports only increases with that of recipients with low absorption efforts. These results indicate that a strategic approach for ODA program is more effective and useful to the donor's economy.

• Journal of Labour Economics
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• v.33 no.2
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• pp.135-164
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• 2010

This paper compares the earnings effect of inter-industry technology differences between the self-employed and wage earners. It is assumed that primary skills utilized by the self-employed and paid workers differ in nature, and thus the earnings effect of technology differences and its skill-biasness also differ for each type of workers. For the empirical analysis. Heckman's two-stage method and quantile regressions are fitted to Korean panel data. The earnings effect of technology differences turns skill- biased for wage earners (job-specific skills), but prevails for all self-employed workers (entrepreneurial skills) regardless of their schooling level. This sectoral difference holds for each different quantile of earnings distribution.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.443-449
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• 2005

As sustainable development and environment-friendly efforts in large-scale development projects emerge as major interests at home and abroad, man-made wetlands and eco-park facilities have been newly planned or created when developing reclamation districts recently. In this study, based on findings from a comprehensive review of relevant studies and planning cases, the basic direction and objectives of the plan were developed. A comprehensive analysis on the status of ecological environment and demographic and social environment showed that the planned site is in a process of migrating from early stages of reclamation to middle stages. It was planned for the eco-park to function as a major base along an ecological network consisting a freshwater lake and rivers and streams flowing into the lake in Hwaong District. Through a master plan and sectoral plans were planned according to desalination levels after reclamation. Then, habitats for livings organisms were also planned. The eco-park, the planned site, is also in a process of migrating from the early stages to middles stages. By creating an eco-park that considers post-reclamation ecological environment changes, natural succession processes will be preserved, which is expected to help local ecosystems to restore their functions on their own over a relatively long period of time and enable to observe the restoration process.

• Journal of Korean Society for Quality Management
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• v.49 no.4
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• pp.641-654
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• 2021

Purpose: One distinctive trend in the recent industrial and technological development has been the change in the structures of industries brought by information technology, boosting the productivity of different sectors. This relation has clearly opened a path for the fourth industrial revolution to reform numerous industrial sectors, including i-fashion sectors. Therefore, in this research, we would like to present the direction of the direction policy for the fusion of the manufacturing industry and the service industry of i-fashion. Methods: In this study, an empirical time series data analysis of machinery investment efficiency and capital investment efficiency of 43 industrial sectors in manufacturing and service was conducted to show their potential and ongoing convergence toward i-fashion. Results: Most impressive as a finding in this research was that those sectors previously underinvested due to a combination of technological and financial reasons found an exit for growth. In textile and apparel sectors, that could be the i-fashion. Conclusion: One strong implication of this study is that sectoral level convergence based on technology and industry is occurring, and i-fashion is one of the industrial convergence case to be observed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.117-127
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• 2021

This study was conducted to comprehensively identify factors that potentially influence corporate investment behavior, including micro, macro, and sectoral variables. Furthermore, investment behavior was studied across nations based on their participation in the global value chain (GVC), which was evaluated based on commodities, limited manufacturing, advanced manufacturing, and innovative activities. The study uses the dynamic panel data analysis and Generalized Method of Moment (GMM) estimation for a sample of 800 corporations, with data spanning over 2000-2019. The study result shows that in all types of countries, the coefficient lag indicator of capital expenditure statistically has a significant effect on capital expenditure. Sales growth, exchange rate, and GDP have a significant positive effect on corporate investment growth, while DER has a negative effect. In commodity countries, corporate investment is influenced by sales growth, exchange rate, and FCI. The variables that influence corporate investment in manufacturing countries are the FCI, exchange rate, sales growth, GDP, and DER. In innovative countries, variables that significantly affect capital expenditure are DER, GDP, and Tobin Q. In each type of country, the interaction terms between exchange rate and commodity price are positive and statistically significant.

• East Asian Economic Review
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• v.23 no.1
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• pp.27-53
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• 2019

I employ search-and-matching to a multi-country and multi-sector Ricardian model with input-output linkages, trade in intermediate goods, and sectoral heterogeneity, in order to quantify the welfare effects from tariff changes. The paper shows that labor market frictions can be a source of comparative advantage in the sense that better labor market conditions contribute to lower cost in production. Labor market frictions play a critical role in determining the probability of exporting goods to trading partners, and interact with bilateral trade share, price, expenditures, etc. Unemployment and changes in unemployment rates due to tariff reductions contribute welfare changes across countries, implying that welfare effects based on quantitative trade models with full-employment are likely to be biased. I confirm the biased welfare effects by revisiting Caliendo and Parro (2015), who conduct an analysis of the welfare effects from the NAFTA from 1993 to 2005. I show that the welfare gap between theirs and mine has a positive correlation with changes in observed unemployment rates across countries. With the constructed model, I further conduct counterfactual exercises by asking what would happen if China's tariffs remain unchanged from 2006 to 2015. It turns out that there are mild welfare effects to trading partners in the world trading system.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.169-177
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• 2022

The main aim of the paper is to assess the level of financial literacy among business students. It further aims to investigate the role of external factors that may determine financial literacy. The external factors considered in this study are gender, grade point average, specialization, financial education, and financial socialization. Standard scales such as the Test of Financial Literacy, the Big Three, and other instruments were adapted to measure Financial Knowledge. Further, the study also explored relationships between several factors and the financial knowledge of students. These factors included a student's gender, specialization, number of finance or related courses studied, current Grade Point Average, and financial socialization. A total number of 303 valid responses were received through an online questionnaire administered to business students studying in a public university in the country. Statistical tests namely independent samples t-Test, one-way ANOVA, and correlation analysis were performed in SPSS 28.0. Results show that the overall financial knowledge of students is above average. Gender, number of finance or related courses, and financial socialization do not exhibit any significant relationship with financial knowledge. Current GPA and specialization show significant relationships. The findings of this study have important sectoral and research implications.

• Korea Trade Review
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• v.47 no.4
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• pp.233-254
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• 2022

Although there is growing literature evidence of linkages between global value chains (GVCs) and foreign direct investment (FDI), the results are mixed and ambiguous by geographic dimension, time period and sectoral scope. Moreover, bilateral approaches on these connections have been rarely analyzed. In this context, we investigate the effect of bilateral greenfield FDI and cross-border M&A on GVC linkages between host countries and source countries. We match three-year averages of bilateral FDI and UNCTAD-Eora GVC value-added data from 2005 to 2019 between 37 OECD sources and 176 host countries (37 OECD versus 139 non-OECD countries). In the structural gravity model, the empirical specification includes bilateral and country-period fixed effects and uses a Poisson Pseudo-Maximum Likelihood (PPML) estimator. We find that greenfield and M&A FDI promote forward and backward GVC linkage for all sectors between OECD countries, whereas greenfield FDI promotes backward GVC linkage between OECD and non-OECD countries. In addition, the results indicate that the degree of influence of GVCs by FDI flows is greater for forward GVC than backward GVC among OECD countries.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.5
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• pp.385-396
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• 2015

The purpose of this study are in selecting a core service and drawing an analysis functions and service sector, based on contents of geo-spatial big data. For the study, the demand survey in the methodology has to be done by reviewing of preceding geo-spatial big data service. The survey has conducted by targeting on those experts in Industry-Academy-Research cooperation. From the survey, we could draw out requirements for the analysis function and the geo-spatial big data service sector. Also, order of priorities in service of four fields(Society, Environment, Economy, Humanities) has been utilized by a QFD(Quality Function Deployment). With the data, the first two priorities and required sectors for each field were selected for the analysis functions. From the result, we could suggest the core service model(plan), and also expect developments following each sectoral core service in the future.

• Journal of Korean Society of Environmental Engineers
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• v.32 no.9
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• pp.809-817
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• 2010

Reducing emissions across all sectors requires a well-designed policies tailored to fit specific national circumstances. And every climate policymaker would like to have an accurate method of assessing the quantitative impacts of future policies to address GHG-related problems. Estimates of future changes in a nation's GHG emissions, the expected environmental impacts of future energy sector developments, and the potential costs and benefits of different climate technology and mitigation policy options are desirable inputs to policy making. Various mitigation analysis and modeling approaches helped to fill the needs for these kinds of information, and as such has been an important part of national mitigation policy making in many countries for most of two decades. This paper provides a overview of GHG mitigation policies and mitigation analysis, and sectoral mitigation circumstances and potentials.