• Title/Summary/Keyword: Economic Growth Coefficient

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Improvement Method for Efficiency Analysis in National R&D Programs (국가R&D사업 효율성 분석의 개선 방법)

  • Kang, Ji-Hye;Baek, Dong-Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.37 no.3
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    • pp.82-88
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    • 2014
  • The government expands its investment on R&D programs for economic growth, thus there is growing attention on the result of R&D Programs. This study proposes more improved measuring method for efficiency when the number of R&D programs is not enough to be for measuring efficiency analysis. It provides more various application method of factors on efficiency analysis. This study analyzes the influence of each input factor on efficiency by using partial efficiency concept. And it also determines input factors in similar influence throughout Spearman correlation coefficient. Finally, it suggests new method to improve discriminatory power of efficiency analysis by determining representative factors. Also, the proposed method can be practiced not only for national R&D programs, but also for other fields of research.

An Economic Factor Analysis of Air Pollutants Emission Using Index Decomposition Methods (대기오염 배출량 변화의 경제적 요인 분해)

  • Park, Dae Moon;Kim, Ki Heung
    • Environmental and Resource Economics Review
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    • v.14 no.1
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    • pp.167-199
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    • 2005
  • The following policy implications can be drawn from this study: 1) The Air Pollution Emission Amount Report published by the Ministry of Environment since 1991 classifies industries into 4 sectors, i. e., heating, manufacturing, transportation and power generation. Currently, the usability of report is very low and extra efforts should be given to refine the current statistics and to improve the industrial classification. 2) Big pollution industries are as follows - s7, s17 and s20. The current air pollution control policy for these sectors compared to other sectors are found to be inefficient. This finding should be noted in the implementation of future air pollution policy. 3) s10 and s17 are found to be a big polluting industrial sector and its pollution reduction effect is also significant. 4) The effect of emission coefficient (${\Delta}f$) has the biggest impact on the reduction of emission amount change and the effect of economic growth coefficient (${\Delta}y$) has the biggest impact on the increase of emission volume. The effect of production technology factor (${\Delta}D$) and the effect of the change of the final demand structure (${\Delta}u$) are insignificant in terms of the change of emission volume. 5) Further studies on emission estimation techniques on each industry sector and the economic analysis are required to promote effective enforcement of the total volume control system of air pollutants, the differential management of pollution causing industrial sectors and the integration of environment and economy. 6) Korea's economic growth in 1990 is not pollution-driven in terms of the Barry Commoner's hypothesis, even though the overall industrial structure and the demand structure are not environmentally friendly. It indicates that environmental policies for the improvement of air quality depend mainly on the government initiatives and systematic national level consideration of industrial structures and the development of green technologies are not fully incorporated.

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Analysis of Regional Specialization and Value-added Contribution of Local Logistics Industry (지역 물류산업의 특화도와 지역경제 부가가치에 미치는 영향 분석)

  • Park, Seonyoul;Park, Ho
    • Journal of Korea Port Economic Association
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    • v.36 no.2
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    • pp.87-108
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    • 2020
  • The Korean logistics industry has grown with the development of domestic industries. The industry plays an important role in national and regional economic growth, and the government has continued policy efforts to foster the industry. This study analyzes the competitiveness of the regional logistics industry and its contribution to the regional economy. Location coefficients are used to analyze local specialization in each logistics industry. The value-added rate, GDP contribution, value-added induction coefficient, and net value-added income of regional logistics industries are analyzed using a regional input-output table. As a result, the logistics industry is found to have net value-added income and competitiveness in some regions, and there is no relationship between the location coefficient and the value-added contribution of the regional logistics industry. Seoul, Incheon, Gyeonggi, Busan, and Jeju have the competitiveness of each logistics industry. In addition, we identified the regions where the logistics infrastructure is well developed and those in which it needs to be supported. The regions where the logistics industry has developed require policies for making high value-added by logistics activity, and regions with insufficient growth need to support the development of the logistics industry by investing human resources and capital that can meet the local demand.

An Effect of FDI and Human Capital on Economic Growth Using VECM in Korea (VECM을 이용한 한국 외국인직접투자와 인적자본의 경제성장 효과)

  • Jung, Young-Chul;Kim, Seong-Ki;Seo, Min-Kyo;Kang, Han-Gyoun
    • International Commerce and Information Review
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    • v.14 no.1
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    • pp.87-114
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    • 2012
  • The purpose of this paper is to analyze the economic effects of Foreign Direct Investment(FDI) and human capital using VECM in Korea from 1970 to 2009. Empirical results through VECM show that the coefficients of GDP, GFO(gross fixed capital), LAB(total labor), EXO(export), PCDB(public and commercial loan) and FDI have had a positive impact on Korean economic growth. In contrast, the effects of PCDB and FDI were not as significant as the other variables. In particular, the interaction effect, $FDI^*EDU$(the college graduation variable), was more important than that of the FDI alone. However, the coefficient of $FDI^*EDU$ was not so big. Korean government needs to attract more FDI to enhance Korean economic growth rate by the improvement of investment environment. There are a big amount gap between notification FDI and arrival FDI in Korea. So Korean government and companies should actively persuade foreign investors to invest after their investment notification. Also the Korean college authorities should emphasize more on curriculum which adapts to company skill in the field work.

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Innovation and Economic Growth: Factor Substitution, Technological Change and R&D Investment (기술혁신과 경제성장: 요소대체율, 기술진보율 및 연구개발투자)

  • Shin, Tae-Young
    • Journal of Technology Innovation
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    • v.15 no.2
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    • pp.1-24
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    • 2007
  • In this study, we estimated a CES production function for the Korean economy. We have found in the empirical results that the elasticity of the factor substitution is less than one and that the Korean economy exhibits labor-saving technological progress. In addition, we obtained the regression coefficient of R&D investment on technological change, i.e., the elasticity of R&D investment with respect to the technological change was 0.26% point. It implies that if R&D stock increases by 1%, labor efficiency increases 0.26% point through technological progress which is Hicksian non-neutral. It confirms that innovation-based growth strategy by increasing R&D investment would be effective on the one hand. Some policy consideration on the other might be needed for an increase in employment which is offset by technological progress.

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An Analysis of Characteristics in Food Balance and Dietary Patterns under the Economic Growth (경제 성장에 따른 식품수급 및 식이섭취 양상의 특성 분석)

  • Lee, Jong-Mee
    • Korean journal of food and cookery science
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    • v.6 no.4 s.13
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    • pp.41-50
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    • 1990
  • This study aimed to investigate the change in food balance and dietary patterns, caused by the growth of per capita GNP during $1962{\sim}1987$. For the purpose of this analysis, ordinary least square (OLS) was adopted. Per capita GNP was independent variable and the other factors dependent variables. The other factors included Engel coefficient, food supply, energy supply, nutrient intake and the ratio of self-supply of food. The result revealed that the some variables have (+) correlation, the some variables (-) correlation and the other variables no correlation with per capita GNP. If forecasting models are designed with these results, it will be helpful for national health and nutrition, food balance and disease prevention.

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The Forecasting Model of the Change in Food Balance and Nutrient Intake under the Economic Growth (경제성장에 따른 식품수급 및 영양소 섭취 변화의 예측 모형)

  • Lee, Jong-Mee
    • Journal of the Korean Society of Food Culture
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    • v.5 no.4
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    • pp.481-485
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    • 1990
  • This study is designed to forecast the characteristics in food consumption patterns under per capita GNP growth. Ordinary least square(OLS)method was employed as analyzing technique. Equation was $Y=a_0+a_1X$, in which X was per capita GNP and Y were Engel coefficient, food supply, energy supply, nutrient intake and ratio of self-supply of food. The result obtained indicates that the intake of nutrient such as protein and fat will be increased, and wheat, corn and legume are expected to be imported wholly due to lower ratio of self-supply, and rice will be over-supplied continually. Therefore, the relevant policy of government must be established in the field of supply and demand of food, and the research of sound national health should be done.

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An Analysis of Economic Effects of Korean Fisheries using Input, Output Analysis (산업연관분석을 이용한 수산업의 경제적 파급효과 추이 분석)

  • Park, Kyoung-Il;Park, Joon-Soon;Seo, Ju-Nam
    • The Journal of Fisheries Business Administration
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    • v.43 no.3
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    • pp.75-87
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    • 2012
  • Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.

The Impact of Korean Human Capital on the Permanent National Economic Growth in the New Normal Era (뉴 노멀 시대하 한국의 인적자본이 영구적 국민경제성장에 미치는 영향)

  • Kim, Seon Jae
    • The Journal of the Korea Contents Association
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    • v.17 no.6
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    • pp.55-62
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    • 2017
  • The purpose of this study is to investigate the transitory and permanent growth effects of human capital of the Korean economy based on the analysis of the New Normal Era during the period 1970-2014. For the transitory effects, we found out that all the coefficients of capital and labor are significant above the 5% level, whereas the coefficients of labor and human capital are significant only at the 10% level during the period 1999~2014. In particular, in the case of 1% increase in the human capital, the actual growth rate raised up with the rate of 0.15% over a 45-year period. For the permanent growth effects, the coefficients of capital and labor are significant above the 5% level. Furthermore, sum of the coefficients of the capital and labor showed approximately 0.96~0.99, approaching to a unit, which implies that there is a constant returns scale with respect to these inputs. In particular, the coefficient of human capital at 0.064 is significant at the 10% level. This implies that the permanent growth effect of an additional index of human capital is about 0.64% the previous 45-year period.

A Study on the Identification of Cutting-Edge ICT-Based Converging Technologies

  • Kim, Pang Ryong;Hwang, Sung Hyun
    • ETRI Journal
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    • v.34 no.4
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    • pp.602-612
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    • 2012
  • It is becoming increasingly difficult to identify promising technologies due to the influx of new technologies and the high level of complexity involved in many of these technologies. Identifying promising information and communications technology (ICT)-based converging technologies holds the key to finding new sources of economic growth and forward momentum. The goal of this study is to identify cutting-edge ICT-based converging technologies by examining the latest trends in the US patent market. Analyzing the US patent market, the most competitive of such markets in the world, can yield certain clues about which of the ICT-based converging technologies may be the next revolutionary technologies. For a classification of these technologies, this study follows the International Patent Classification system. As for ICT, there are 58 related fields at the subclass level and 831 fields at the main-group level. For emerging and converging technologies, there are 75 at the main-group level. From these technologies, a final selection for cutting-edge ICT-based converging technologies is made using a composite index reflecting the converging coefficient, emerging coefficient, and technology impact index.