• Title/Summary/Keyword: rGDP

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Long-Run Behavior of R&D Investment and Economic Growth : A Macro-Econometric Model

  • Shin, Tae-Young
    • Proceedings of the Technology Innovation Conference
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    • 2004.02a
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    • pp.83-107
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    • 2004
  • This study investigates how and through which channels R&D activities influences the national economy, using a macro-econometric model. The macro-econometric model in this study includes 24 behavioral equations and 25 identities and was estimated using the annual data. From a simulation analysis, it is shown that the R&D investment has a permanent effect on real variables; lowering prices, wages and interest rates, and increasing potential and real GDP in the long run. It is noted that the national account was recalculated to avoid double-counting in estimation of R&D stocks.

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Estimation of Economic Effects on Overseas Oil and Gas E&P by Macroeconomic Model of Korea (거시경제모형을 이용한 해외석유가스개발사업의 경제적 효과 추정 연구)

  • Kim, Ji-Whan;Chung, Woo Jin;Kim, Yoon Kyung
    • Environmental and Resource Economics Review
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    • v.23 no.1
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    • pp.133-156
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    • 2014
  • In general, quantity results of empirical analysis using model shows how much big performance policy has. Therefore this is useful to evaluate a policy. This paper composed macro economic model based on Bank of Korea's quarterly model and annual model, that estimates performance of overseas oil and gas development project to Korean economy in aspect of quantity. In this model, we estimated each effect in real GDP, current account, unemployment rate, CPI and exchange rate carried by recovered amount from overseas oil and gas development project. The recovered amount was evaluated in currency coming from oil and gas acquired from overseas oil and gas development project. Macro economic model of this paper benchmarked macro model composed by Bank of Korea(1997, 2004, 2012). We reviewed model robustness using statistical suitability of each equation and historical simulation for from 1994 to 2011. The recovered amount of overseas oil and gas development project has positive effect in every macro economic index except CPI and exchange rate. Economic effect to macro economic index become bigger with time because the recovered amount of overseas oil and gas development project are increasing until now. Although empirical results of economic effects in every year from the recovered amount of overseas oil and gas development project are different, as of 2011, empirical results showed that the recovered amount of overseas oil and gas development project increase 2.226% and 0.401% in current account and real GDP respectively. And it also decrease 0.489%p in unemployment rate. Exchange rate to US dollars also decrease in amount of 0.379%.

An Analysis on Causalities Among GDP, Electricity Consumption, CO2 Emission and FDI Inflow in Korea (한국의 경제성장, 전력소비, CO2 배출 및 외국인직접투자 유입 간 인과관계 분석)

  • Park, Chang-dae;Kim, Sung-won;Park, Jung-gu
    • Journal of Energy Engineering
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    • v.28 no.2
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    • pp.1-17
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    • 2019
  • This article analyzes causal relationships among gross domestic product(GDP), electricity consumption, carbon dioxide($CO_2$) emission and foreign direct investments(FDI) inflow of Korea over the period from 1976 to 2014, using unit root test, cointegration test, and vector error correction model(VECM). As the results, this article found (1) a long-run bi-directional causality between GDP and electricity consumption, which may imply a negative impact of electricity consumption-saving policy on economic growth, (2) uni-directional short- and long-run causalities running from $CO_2$ emission to GDP, and a uni-directional long-run causality running from $CO_2$ emission to electricity consumption, which can result in a negative impact of $CO_2$ emission reduction policy on economic growth and electricity consumption, (3) a uni-directional long-run causality running from FDI to GDP, and uni-directional short- and long-run causalities running from FDI to electricity consumption, which may result from relatively lower electricity prices than investing countries, (4) no causality between FDI and $CO_2$ emission, which is based on the characteristics of FDI composed of service industries. Considering the above causal relationships among the four variables, the policy implication needs to focus on the electricity demand management based on the relevant R&Ds, and on the gradual transition from fossil fuel- to renewable-energy. Adaptive policy to increase the FDI inflow is also needed.

A Study on Spillover of Technology Trade against Post- BRICs (BRICs 이후 신흥국과의 기술무역 확산방안 연구)

  • Baek, Eun-Young
    • International Commerce and Information Review
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    • v.16 no.5
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    • pp.361-385
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    • 2014
  • This study focused on Spillover of Technology Trade against Post- BRICs of the Technology export of Korea. Therefore this study made an empirical analysis for investigating the competitiveness of technology export in Korea and using panel data 2003-2012 of technology trade data between 6 Countries(Indonesia, Mexico, Nigeria, South Africa, Turkey, Vietnam). In particular, the study deduced the correlation between technology export in Korea using the variables of Gross Domestic Expenditure on R&D and Per capita GDP, distance, population, free-trade index, FDI, Technology-Intensive Manufactures, Pattern Investment fixed effect model in panel linear regression model. It is found that the Technology export of Korea SMEs made a significant effect on the pop, free_trade, and distance. and also it is found that the Technology export of Korea Big Business made a significant effect on the per-GDP, Fdi from Korea, free_trade, and distance. The results suggest that the study should use technology gap variables and the strategy for activating the Technology export of Korea should be made for future works.

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ECONOMIC POWER, POPULATION, AND SIZE OF ASTRONOMICAL COMMUNITY

  • Ahn, Sang-Hyeon
    • Journal of The Korean Astronomical Society
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    • v.52 no.5
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    • pp.159-172
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    • 2019
  • It is known that the number of astronomers of a country registered to the International Astronomical Union (IAU) is correlated with that country's gross domestic product (GDP). However, the robustness of this relationship could be doubted, as the fraction of astronomers joining the IAU differs from country to country. Here we revisit this correlation by using more recent data, updated as of 2017. We find a similar correlation by using the total number of astronomers and astrophysicists with PhD degrees that are working in each country, instead of adopting the number of IAU members. We confirm the existence of the correlation. We also confirm the existence of two subgroups within this correlation. One group consists of advanced European countries having a long history of modern astronomy, while the other group consists of countries having experienced recent rapid economic development. In order to determine the cause for the correlation, we obtained the long-term variations of the number of astronomers, population, and the GDP for a number of countries. We find that the number of astronomers per capita for recently developing countries has increased more rapidly as GDP per capita increased, than that for fully developed countries. We collected demographic data of the Korean astronomical community and find that it has experienced recent rapid growth. From these findings we estimate the proper size of the Korean astronomical community by considering Korea economic power and population. The current number of PhD astronomers working in Korea is approximately 310, but it should be 550 in order for it to be comparable and competitive to the sizes of the Spanish, Canadian, and Japanese astronomical communities. If current trends continue, this number will be reached by 2030. In order to be comparable to the German, French, and Italian communities, there should be 800 PhD astronomers in Korea. We discuss ways to overcome the vulnerability of the Korean astronomical community, based on the statistics of national R&D expenditure structure in comparison with that of other major advanced countries.

데이터 기반 유사연구영역 효율성 제고 방안 및 과제 우선순위 도출에 대한 탐색적 연구 -출연연 사례 및 AHP분석을 중심으로

  • Jeong, Jae-Yeon;Choe, San;Gang, In-Je;Jeong, Jae-Ung;Han, Yu-Ri;Jeon, Seung-Pyo
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.05a
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    • pp.537-547
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    • 2017
  • 현재 우리나라의 GDP 대비 R&D 투자 규모는 세계최고의 수준에 이르렀다. 이러한 연구개발 예산의 양적인 확대 및 성장과 함께 상대적으로 연구개발 예산의 효율적 활용이 중요한 과학기술정책 이슈로 부각되고 있다. 본 연구는 정부 R&D사업 유사영역의 효율성 제고를 위한 정책, 전략의 수립 및 실행의 의사결정을 돕는 데이터 기반의 객관적인 지표들을 제시하였다. 그 후 본 연구에서 제시한 효율성 지표들을 NTIS에서 추출한 2015년 정부출연연구기관 R&D 사업 데이터와 연계하여 실질적으로 측정과 사용이 가능한 정량적 지표들만을 따로 선별하였다. 또한 정부 R&D사업 효율성 지표들의 가중치를 측정하기 위하여 계층분석기법(analytic hierarchy process)을 수행하였으며 계층분석기법의 결과로 나온 가중치를 효율성 지표들에 적용하여 과제 우선순위를 도출하였다. 이를 통해 정책의 수립, 실행 및 조정 시 고려해야 할 지표의 우선순위를 설정하여 유사연구영역 관련 정부 R&D 정책수립에서 실행까지의 연계를 강화시키고 국가적으로 한정된 자원의 효율적 사용을 위한 방안을 제시하였다.

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정부 기초연구 투자에 영향을 미치는 요인에 관한 연구

  • Yeom, Gyeong-Hwan;Yun, Su-Jin;Sin, Ae-Ri
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.11a
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    • pp.143-143
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    • 2017
  • 지난 50년간 정부의 기초연구 투자는 과학기술 경쟁력 배양 및 국가 선성장 동력을 확보하여 선진국으로 도약하기 위한 중요한 국가 전략 중 하나로 강조되어 왔다. 문재인 정부는 국정운영 5개년 계획을 통해 연구자 주도 기초연구지원을 강조하는 등 정부의 기초연구 투자확대 기조는 현 정부에서도 계속될 전망이다. 순수 기초연구비 2배 확대, 연구자 주도형 자유공모과제 비율 2배 확대 등의 기초연구분야 투자의 양적인 성장과 더불어 절적인 성장을 위한 체계적인 투자 전략이 필요한 시점이다. 이를 위해 기초연구 투자에 영향을 미치는 요인에 대한 연구가 선행될 팔요가 있다. 본 연구에서는 1999년부터 2016년까지의 정부R&D투자, 연구원 수, 물가, GDP 등의 요인의 상관관계 분석을 통해 각 요인이 정부 기초연구투자에 미치는 영향을 알아보고자 한다. 이는 향후 정부 R&D투자 전략의 수립에 활용될 수 있다.

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Strategy of the Short-term R & D Innovation for the Small and Medium IT Enterprise (IT 중소기업의 기술개발 상용화 전략)

  • Song Hag-Hyun;Kim Yoon-Ho
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.2 no.4
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    • pp.64-70
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    • 2003
  • Hardware, software, networking to Digital Contents. Most of the Small and medium IT Enterprise strategy shift of R & D system. In 2001, IT Small and medium size manufacture occupied 3.8% of Gross Domestic Product. IT industry R&D Program and Excellent Information Technology R&D Program support rate $54{\sim}60%$ of computer, software and contents for Information Technology R&D, when the Technology of R&D input to market need to development for about 3 years. Most of the Small and medium IT Enterprise strategy priority find out from computer, software and contents.

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Forecasting Model of Air Passenger Demand Using System Dynamics (시스템다이내믹스를 이용한 항공여객 수요예측에 관한 연구)

  • Kim, Hyung-Ho;Jeon, Jun-woo;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.16 no.5
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    • pp.137-143
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    • 2018
  • Korea's air passenger traffic has been growing steadily. In this paper, we propose a forecasting model of air passenger demand to ascertain the growth trend of air passenger transportation performance in Korea. We conducted a simulation based on System Dynamics with the demand as a dependent variable, and international oil prices, GDP and exchange rates as exogenous variables. The accuracy of the model was verified using MAPE and $R^2$, and the proposed prediction model was verified as an accurate prediction model. As a result of the demand forecast, it is predicted that the air passenger demand in Korea will continue to grow, and the share of low cost carriers will increase sharply. The addition of the Korean transportation performance of foreign carriers in Korea and the transportation performance of Korean passengers due to the alliance of airlines will provide a more accurate forecast of passenger demand.

Knowledge Capital in Economic Growth: A Panel Analysis of 120 Countries

  • Lim, Dong-Geon;Jung, Jin Hwa
    • Asian Journal of Innovation and Policy
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    • v.6 no.1
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    • pp.94-110
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    • 2017
  • This paper approaches knowledge capital as social infrastructure and analyzes its impact on economic growth. To this end, we constructed a panel dataset for 120 countries for the years 2000-2014 and estimated the economic growth function using the panel analysis. As proxies for knowledge capital, we used the R&D expenditure per capita and the number of patent applications per thousand people in each country, both measured in stock. Economic growth was measured in terms of real GDP per capita and real value added per capita at the industry level. The empirical findings demonstrate that knowledge capital accumulated in a society significantly promotes economic growth. Especially R&D stock increases real value added per capita in all industries-not only manufacturing, but also services and agriculture-implying substantial inter-industry spillover effects. The findings of this study suggest that knowledge capital boosts economic growth as core social infrastructure.