• STI Policy Review
• /
• v.6 no.1
• /
• pp.1-23
• /
• 2015

Based on the work of Anand et al. (2013) we measure inclusive income growth, which combines growth in gross domestic product (GDP) per capita and growth in the equity of the income distribution. Extending the work of Causa et al. (2014), we estimate a dynamic simultaneous structural equations model of GDP per capita and inclusive income on panel data for 63 countries over the 1990-2013 period. We estimate both equations in error correction form by difference GMM (generalized method of moments). Among the explanatory variables of the level and the distribution of GDP per capita we include R&D (research and development) expenditure per capita. In OECD countries we obtain a large positive effect of R&D on GDP. R&D is found to have a positive effect on the social mobility index but its impact on the income equity index at first decreases, then switches around to become slightly positive in the long run. In non- OECD countries, R&D is found to decrease inclusive income, mostly through a negative growth effect but also because of a slightly increasing income inequity effect.

• Proceedings of the Safety Management and Science Conference
• /
• 2003.05a
• /
• pp.211-222
• /
• 2003

The health industry is highly value-added, compared to other industries. The reason is that increase of income growth and the expanded human life expectancy bring about positively needs of products at health industry. This is related with increase in expenses of health care and R&D investment of health industry. After 1995, the share of GDP at drug & biomedical industry is increased. Especially, the share of GDP at biomedical is 0.12% in 1995 1$^{st}$ quarter, but 0.17% in 2002 3$^{rd}$ quarter, 0.24% in 2008. Biomedical's contribution about GDP growth is to jump into 6.01% in 2008. The share of GDP at drug will continuously expand, compared to other manufacture industries. Also, drug's contribution about GDP growth will increase, compared with before. Conclusionally, total shares of GDP at drug St biomedical industry are to increase, compared with before. Also, this health industry's contribution is to expand as value-added industry and increase of sales.

• The Journal of Asian Finance, Economics and Business
• /
• v.2 no.2
• /
• pp.5-12
• /
• 2015

The authors calculate the long-term predictability of GDP, domestic demand, investment, and net exports for Guangdong province, P.R. China from 2000 to 2013. A vector autoregressive (VAR) model with quarterly data for this period is first co-integrated then the Granger causality test is applied to empirically assess the relationships among gross domestic product (GDP), consumption, investment, and net exports. There is a strong causality effect between investment and net exports in Guangdong province. However, the variance decomposition results indicate that exports respond to foreign shocks rather than domestic ones, making their impact on the Guangdong economy to predict. Results show the stimulating effect of domestic demand on GDP is larger than the stimulating effect of net exports and much larger than even the stimulating effect of investment. The analysis suggests that there are dynamic influences with various levels of persistence between GDP, consumption, investment, and net exports. Macroeconomic policy adjustments are urgently required to expand domestic demand and thereby stimulate economic growth in Guangdong province.

• Journal of Institute of Control, Robotics and Systems
• /
• v.9 no.2
• /
• pp.168-175
• /
• 2003

A new algorithm based on Genetic Algorithms is proposed f3r solving process optimization problems formulated in MINLP, GDP and hybrid MINLP/GDP. This work is focused especially on the design of the Genetic Algorithm suitable to handle disjunctive programming with the same level of MINLP handling capability. Hybridization with the Simulated Annealing is experimented and many heuristics are adopted. Real and binary coded Genetic Algorithm initiates the global search in the entire search space and at every stage Simulated Annealing makes the candidates to climb up the local hills. Multi-Niche Crowding method is adopted as the multimodal function optimization technique. and the adaptation of probabilistic parameters and dynamic penalty systems are also implemented. New strategies to take the logical variables and constraints into consideration are proposed, as well. Various test problems selected from many fields of process systems engineering are tried and satisfactory results are obtained.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2000.11a
• /
• pp.346-356
• /
• 2000

This paper aims to analyse the relationship between R＆D investment and economic growth in Korea. The analysis result shows 38 percent of average economic growth rate(7.1%) of Korea between 1976 and 1998 was achieved by the growth of Total Factor Productivity (TFP), and the R&D investment during the period contributed in achieving the economic growth rate by as much as 9.86 percent. In the process of the estimate, the rate of return of the R&D investment from both government and private was calculated as 47 percent. The relationship between private R&D investment, government R&D investment and the GDP was also investigated, and it was estimated that the private sector invested 2.0 percent of the GDP in R&D during the period, and was found that 1 won of government R&D investment induced 0.202 won of private sector's R&D investment. However, the time-lag effect, which is naturally believed to exist between the R&D investment and the economic growth, could not be analysed in a mathematical form, because of the lack of the data to establish this relationship. However, this paper believe that the time-lag effect in this relationship was included implicitly by using the data of 23 years.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.4
• /
• pp.349-357
• /
• 2017

The environmental problems affecting marine resources and slow growth in the fisheries industry is causing many countries to look for alternative inputs that can boost the fisheries sector. This study focuses on the effects of technological innovation in the fisheries industry on the gross domestic product (GDP) per capita across Organization for Economic Cooperation and Development (OECD) countries. Using a panel dataset, this study attempts to estimate the different effects of technological innovations in the fisheries industry from country to country using the differences-in-differences (DiD) method. After the DiD method, the Granger causality test is applied to determine the interactive relations between economic growth and the selected variables associated with technological innovation in the fisheries industry, such as government spending on fisheries R&D, the number of patents in fisheries, and employment. The results obtained from the DiD estimation show that government spending on fisheries R&D, fisheries technology development, and fisheries employment positively influences the GDP per capita across OECD counties. From the causality test, we found different bi-directional causal relationships between the GDP per capita and (spending) on fisheries technology development across countries.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
• /
• v.2 no.2
• /
• pp.14-21
• /
• 2003

In 1997, Korean IT enterprises were 9,000 in numbers and Gross Domestic Product (GDP) took 8.6%, and IT industry employed 400,000 persons. In 2002, it has increased : 21,000 companies, 14.9% of GDP, and 500,000 employees. National policy have diverse programs to the IT industry sector. Ministry of (MOC or MIC) have invested the R&D Program since late 1980. National subsidizes have been provided directly or indirectly to the programs. Direct subsidizes policy conflicts to the principle of the free competition market but it's very powerful to the IT organization (such as institutes, colleges, and companies) for the IT industry. This paper analyzes the national R&D subsidy systems and suggests the advanced systems.

• Journal of Life Science
• /
• v.29 no.2
• /
• pp.256-264
• /
• 2019

Lymphotoxin ${\beta}$ receptor ($LT{\beta}R$), a member of the tumor necrosis factor receptor family, plays an important role in lymphoid tissue's architecture and organogenesis. In contrast, MLCK and ROCK play critical roles in the regulation of stress fiber (SF) formation in cells. To determine whether $LT{\beta}R$ stimulation in fibroblastic reticular cells (FRCs) is involved in these signaling pathways, myosin light chain kinase inhibitor-7 (ML-7) was used to inhibit them. ML7-treated FRCs completely blocked SFs and showed retraction and shrinkage processes comparable to those observed in agonistic anti-$LT{\beta}R$ antibody-treated cells. The inhibition of ROCK activity with Y27632-induced changes in actin cytoskeleton organization and cell morphology in FRCs. Actin bundles rearranged into SFs, and phospho-myosin light chain (p-MLC) co-localized in FRCs. We checked the level of Rho-guanosine diphosphate (RhoGDP)/guanosine triphosphate (GTP) exchange activity using FRC lysate. When $LT{\beta}R$ was stimulated with agonistic anti-$LT{\beta}R$ antibodies, Rho-GDP/GTP exchange activity was markedly reduced. Regarding $LT{\beta}R$ signaling with a focus on MLCK inhibition, we showed that the phosphorylation of MLCs was reduced by $LT{\beta}R$ stimulation in FRCs. Cytoskeleton components, such as tubulin, b-actin, and phospho-ezrin proteins acting as membrane-cytoskeleton linkers, were produced in de-phosphorylation, and they reduced expression in agonistic anti-$LT{\beta}R$ antibody-treated FRCs. Collectively, the results suggested that MLCK and ROCK were simultaneously responsible for SF regulation triggered by $LT{\beta}R$ signaling in FRCs.

• International Area Studies Review
• /
• v.21 no.1
• /
• pp.201-219
• /
• 2017

This paper analyzes the economic effects of the S&T Innovation, R&D, human resources and investment on the economic growth using 18 countries. We have obtained the somewhat mixed results on the existence of unit root roots in variables. While most of Pedroni cointegration tests show that there are no panel cointegration among the variables, Kao cointegration test shows that there is the panel cointegration among the variables such as GDP, human capital, R&D investment and patent. Kao cointegration test result shows that human capital, R&D investment, patent economic growth seem to have the panel cointegration or the long-run relationship among them as a whole. The estimation results of individual OLS and panel estimation show that the human capital, R&D investment and technology innovation or patent had positively significant effects on economic growth or GDP.

• International Commerce and Information Review
• /
• v.16 no.2
• /
• pp.279-296
• /
• 2014

This study focused on the Technology export of Korea SMEs. Therefore this study made an empirical analysis for investigating the competitiveness of technology export in Korea SMEs and using panel data 2003-2011 of technology trade data between 72 Countries. In particular, the study deduced the correlation between technology export in Korea SMEs using the variables of Gross Domestic Expenditure on R&D and Per capita GDP, distance, population, free-trade index, firm R&D against industry value added of country, Patent grants by country to USA fixed effect model in panel linear regression model. It is found that the Technology export of Korea SMEs made a significant effect on the per-GDP, Gross Domestic Expenditure on R&D. The results suggest that the study should use technology gap variables and the strategy for activating the Technology export of Korea SMEs should be made for future works.