• Journal of Labour Economics
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• v.34 no.1
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• pp.33-69
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• 2011

This study analyses a productivity effect by E&T and R&D activities via estimation of E&T stock, R&D stock, and patent stock in a corporate level. Particularly, the analysis reflects the effects of skilled training after estimating E&T stock from E&T flow. When a spillover effect of E&T is analyzed, a methodology using technical proximity concept becomes a new experiment. Also classifying long and short term effects from the usage of Dynamic Panel Data Analysis becomes a new trial, too. The results of study appear that the productivity effects from E&T investments are relatively lager than R&D investments. Through spillover effects and long-term effects E&T and R&D activities have a strong influence on the corporate's productivity.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.9
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• pp.739-744
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• 2014

Space exploration project usually consists of so many fields of sub projects that it has a diverse ripple effect throughout the economy. Further studies could not consider the complexity of the space exploration project because they regarded it as one project in spite of the diversity. This study found a way to consider complexity of space exploration project using the concept of WAC(weighted average coefficient). The moon exploration project (2014~2020) is the subject of this study. We classified the moon exploration project into 8 industries and calculated the WAC of production inducement coefficient, value added inducement coefficient, and employment inducement coefficient. The result of analysis using these WACs is that production inducement effect amounts to 1,229.6 billion won, value added inducement effect 324.6 billion won, employment inducement effect 4,844 men. And the linkage effect analysis shows that moon exploration project has more backward linkage effect than forward linkage effect.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.508-515
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• 2019

The purpose of this study is to reanalyze the impact of college education in the Korean economic growth during the period 1971-2017. The study estimates the impacts of monthly average income per worker without college education with respects to the ratio of workers with college education to worker without college education, capital per worker without college education, and the number of patients per worker with college education. The results showed that the effect of the ratio of workers who had college education was 0.433 at 5% of significant level. In addition, it was estimated that the effect of the capital for each worker who didn't have college education was 0.45646 at 1% of significant level. These findings are similar to the results in the previous study of Kim and Lim. Finally, the number of patents per worker who had college education was estimated. Unfortunately, the coefficients on these were not statistically significant except for one period. Therefore, it is concluded that there is a positive spillover effect from the college education in the Korean economic growth.

• Journal of Navigation and Port Research
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• v.35 no.5
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• pp.415-421
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• 2011

The purposes of this study were to identify the economic impacts of hosting a marine leisure event and thus provide fundamental information that helps maximize the economic value of the event. In order to accomplish such purposes, this study employed both an economic impact analysis(EIA) using regional input output model and a benefit and cost ratio analysis(BCR). In specific, this study utilized a survey method with a total of 300 event visitors and 70 foreign players and thus collected expenditure data from 110 valid out of town visitors and 58 foreign players. In addition, investment expenditure data were collected from the host city official. Accordingly, EIA and BCR indicated following findings. First, the total direct impact from both visitors and players was 387 million Won and this direct impact resulted in output multiplier effect(OME) of 591 million Won, value added multiplier effect(VAME) of 306 million Won and income multiplier effect(IME) of 252 million Won. Second, the host city's investment expenditure created OME, VAME and IME of 825, 432 and 366 million Won, respectively. In conclusion, these findings suggest that in order to effectively boost potential economic benefits, more marketing efforts development policies should be implemented for increasing the number of out of town visitors and the amount of spendings from them.

• Korean Journal of Social Welfare Studies
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• v.40 no.1
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• pp.261-296
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• 2009

I constructed the 2003 Korean 'social accounting matrix'(SAM) to analyze the multipliers of total demand for each economic activity. I find that the relative magnitude of the influence of the welfare policy to the national economy measured by input-output production multipliers tends to be underestimated compared to SAM multipliers. This is because the total demand multipliers of SAM include the private sector effects, which is not considered in the input-output model. The result also support that income inflows in public service areas including education, health and social work, generate gains in the relative income of households.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.1-8
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• 2016

North Korea is currently undergoing an economic crisis of industrial productivity reduction, which resulted from decreased energy production and economic sanctions due to conflicts with the international society. This paper examined the technological status of North Korea's natural gas and coal industries which are essential sectors for recovery of the economy and North-South cooperation on energy industry. This paper also analyzed investment strategies in North Korean energy industries and calculated the size of economic ripple effect of the investment on North and South Korea. In order to analyze the effect of the investment on North Korean economy, we constructed an inter-industry relation table of North Korea for year 2014 and used an input-output model. The ripple effect of the investment in natural gas and coal industries turned out to be 1.012 billion dollars and 2.742 billion dollars respectively. In order to analyze the ripple effect of the investment on South Korean economy, we constructed an inter-industry relation table of South Korea for year 2013 and used a demand-driven model for inter-industry analysis. As a result, production, added-value and employment inducement coefficients of the investment were calculated as 2.02073, 0.62697 and 8.99409 for the natural gas industry and 2.02130, 0.62701 and 9.00413 for the coal industry respectively.

• Journal of the Korean Society of Hazard Mitigation
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• v.3 no.1 s.8
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• pp.141-148
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• 2003

본 연구의 목적은 자연재해나 인위재해로 인한 시설물 피해가 초래하는 경제적 영향을 분석할 수 있는 재해영향평가모형을 개발하고, 2002년도에 발생한 태풍 루사를 연구사례로 하여 본 연구에서 개발한 평가모형의 적용가능성을 살펴보는 것이다. 본 연구에서는 태풍 루사로 인한 시설물 피해가 초래하는 경제적 영향을 평가하기 위해서 경제분석모형인 다지역 투입산출모형(MRIO model)을 적용하여 서울시, 인천시, 경기도와 수도원외지역의 수해피해 영향을 분석하였다. 본 연구방법을 적용하여 지역별 산업별 경제피해영향을 분석한 결과 직간접 수해피해는 총 15조 4천 5백 2십 4억원이고, 고용손실영향은 총 265,476인으로 나타났으며 수도권외지역의 비중이 각각 88,8%와 88.1%를 차지하여 지방경제의 피해가 상당한 것으로 나타났다. 또한 복구비를 투자하였을 경우 총 21조 5천 9백 5십 7억원의 경제파급효과와 412,110인의 고용창출효과가 발생하고, 특히 수도권외지역에서 투자파급효과의 89.3%와 고용창출효과의 89.5%를 차지하여 지방경제 활성화에 크게 기여하는 것으로 분석되었다.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.225-260
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• 2014

In this paper, we present a literature review of the mechanisms and methodology for technology spillover, in order to provide a theoretical and practical foundation for estimating the technology spillover effect of public funded R&D programs. Our research consists of four parts. First, we investigate what technology spillover is and how it works. Second, we review the methodology used to empirically measure technology spillover, with a view to understanding the advantages and disadvantages of each method. Third, we identify the gap between the spillover phenomenon and its estimated results, caused by the limitations of the methodology, and discuss the challenges in measuring technology spillover. Finally, we present several considerations to improve the measurement of technology spillover in the context of public funded R&D programs. Our paper provides policy makers and researchers with basic knowledge about technology spillover and helps them suitably evaluate the results obtained from the literature review. In addition, it contributes towards improving the existing methodology by recognizing the gap between the spillover phenomenon and the methodology.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.5 no.4
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• pp.51-68
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• 2010

The article analyses economic effect of medium size aircraft development project. It is based on the measurement of induced production and increased productivity by the investment on the development project. The analysis shows around 5.2 trillion KRW induced production and 65 billion KRW productivity are expected, if 1.4 trillion KRW is invested as planned. The economic effects with the same size of investment across different manufacturing industries - shipbuilding, auto, general machinery and emiconductor - are also measured for comparison. The result reports ircraft anufacturing is positioned as middle in terms of induced production nd productivity nhancement. he results in this article support the investment, which has economic asibility as well as strategic and military importance as argued.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.5
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• pp.536-546
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• 2016

Using the inter-industry tables over the period 2010-2013 published by the Bank of Korea, this paper attempts to uncover the national economic role of the marine environmental industries through the estimation of their market size and value-added, and to analyze their economic effects through inter-industry analysis. The results show that the market size of the marine environmental industries has increased from 1.34 trillion won in 2010 to 1.97 trillion won in 2013 and their share in total national output went up from 0.04 % in 2010 to 0.05 % in 2013. Moreover, the value-added of the marine environmental industries, 618.5 billion won in 2010, amounted to 841.5 billion won in 2013 and their proportion in total national value-added has grown from 0.05 % in 2010 to 0.06 % in 2013. Three findings emerge to be used demand-driven model from the inter-industry analysis. First, the production-inducing effect of 1.0 won production or investment in the marine environmental industries has decreased from 1.8845 won in 2010 to 1.8115 won in 2013. Second, the value-added creation effect of that has declined from 0.7680 won in 2010 to 0.7063 in 2013. Third, the employment-inducing effect of 1.0 billion won production or investment in the marine environmental industries has went down from 10.17 people in 2010 to 9.18 people in 2013. In short, the market size and value-added of the marine environmental industries show an increasing trend, but their economic effects reveal a diminishing trend.