• Asian Journal of Business Environment
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• 제2권2호
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• pp.27-33
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• 2012

Purpose - The article studies aims to construct the center of economy in the upriver area of Chang Jiang, and has realistic significance probing into the contribution of insurance essential factor market to economic development on the contribution role of essential factor market of insurance in financial industry development to economic growth in Chongqing in both aspects of direct and indirect contribution by the way of demonstration analysis. Research data and methodology - The data are from Statistic Yearbook in Chongqing in 1997-2008.The conclusion shows that essential factor market of insurance development falls behind of economic growth in direct aspect; BBD, BLD and FIR could pull economic growth, but ID just restrain economic growth in Chongqing. Results -The estimate coefficient sigh of BDD, BLD, FIR are plus but ID is not, it is to say the increase of bank deposit dump could impel economic growth, which is accord with general thought. Conclusions - At last, the article Having Studied on the contribution role of essential factor market of insurance in financial industry development to economic growth in Chongqing by the way of demonstration analysis.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.191-200
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• 2020

This research paper examines the causal relationship between India's economic growth and sectoral contribution to Gross Domestic Product (GDP) and vice versa, in the short-run and long-run, over a 10 years time period. Johansen's method of cointegration is used to study the cointegration between the sectoral contributions to Indian GDP vis-à-vis India's economic growth. Further, the route of interconnection between economic growth and sectoral contribution is tested by using Vector Auto Regression (VAR) model. Special attention was given for investigating impulse responses of economic growth depending on the innovations in sectoral contribution using time-series data from 1960 to 2015. This paper highlighted a dynamic co-relationship among industrial sector contribution and agricultural sector contribution and economic development. In the long run, one percent change in industrial sector contribution causes an increase of 3.42 percent in the economic growth and an increase of 1.12 percent in the primary sector contribution, while in the short run industrial and service sector contributions showed significant impact on economic development and agriculture sector. The changing composition of sector contribution is going to be an important activity for the policymakers to monitor and control where the technology and integration of sectors play a significant role in economic development.

• Journal of Information Technology Applications and Management
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• 제31권4호
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• pp.75-97
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• 2024

This paper conducts the input-output structural decomposition analysis on the growth of ICT industry during year 2000~2019. The novel feature of this study is to dissect the economy-wide collective growth contributions into industry by industry contributions. The main results are as follows. First, the growth of ICT manufacturing industry has excessively depended on its own export and import-substitution of intermediate goods, while the growth of ICT service industry has heavily depended on its own domestic final goods demand. Second, for the growth of ICT manufacturing industry, its own contribution is about 79%, and the contributions of non-ICT service and manufacturing industries respectively are 11% and 9%, but the contribution of ICT service industry is only about 1%. For the growth of ICT service industry, its own contribution is about 61%, and the contributions of non-ICT service and non-manufacturing industries respectively are about 33% and 5%, but, surprisingly, the contribution of ICT manufacturing industry is less than 1%. Third, the contributions of non-ICT manufacturing and service industries to the growth of both ICT industries have been done mainly through increase in export and domestic final goods demand together with change in the structure of input technology.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2000년도 제17회 하계학술발표회 논문집
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• pp.175-209
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• 2000

The performance of US economy in the last cecade is considered to be driven by the IT investment. However, the causal relationship has not been conclsive between IT investment and economic performance, which makes a decision in IT investment tricky. IT as a growth strategy is critical to the developing countries which experienced resource constraint. In case IT acts as a driving force in the new technology paradigm, the less investment in IT will continue to which the growth gap between countries. When IT dose not make a significant contribution to growth, heavy investment in IT means misallocations of resources. Therfore a decision on IT investment has critical implication in terms of growth strategy. Based on a growth accounting nethod, the current study is to analyse the contribution of IT

• 한국인구학
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• 제14권1호
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• pp.1-25
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• 1991

The Purpose of this study is to analyze the contribution of the total human capital formation to economic growth in Korea. In order to assess the contribution of the total human capital formation to economic growth, aggregate production functions are estimated using two ways of ordinary least squares and polynomial distributed lags based on 1955 - 1988 time series data in Korea. The total amount of investment in human capital is calculated by adding each amount of investment in formal education, vocational training, inter-provincial migration, and health in pecuniary terms. The findings of this study could be summarized as follows ; (1) If we enumerate the variables in good order according to the importance, we get the following ; namely, total number of labor force, inter-provincial migration, vocational training, health, physical capital, and formal education. (2) The contribution of the human capital to economic growth is much more larger than that of physical capital. In particular, it appears that inter-provincial migration and vocational training make a great contribution to economic growth. (3) It appears that investment in formal education has a continuous effect for fifteen years and maximum effect is observed approximately eight years later. In the case of vocational training, the effect of investment lasts for about 12-14 years and its effect on economic growth reaches maximum with the passage of seven to eight years after initial investment. (4) Investment in vocational training contributes more in the long run compared with investment in formal education. The effect of investment in formal education lasts longer than that of vocational training, while the effect of investment in vocational training is considerably larger in the short run compared with the investment in formal education.

• 국제지역연구
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• 제15권2호
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• pp.151-173
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• 2011

본 연구의 목적은 1979년부터 2008년까지 30년 기간 동안 중국에 있어서 경제성장에 영향을 미치는 중요 요소와 요소별 기여수준을 파악하기 위한 것이다. 이를 위하여 고정효과모형과 확률효과모형을 활용하였으며, 적합모델을 선택하기 위하여 Hausman 검정을 활용하였다. 본 연구의 결과 지역금융변수(rsav)가 6개 모형에서 그리고 사회간접자본변수(rsoc)가 2개 모형에서 경제성장에 대해 부(-)의 관계를 보였으나 나머지 3개 변수는 전 모델에서 경제성장에 대해 정(+)의 관계를 보이고 있는 것으로 나타나고 있다. 그리고 노동력 변수의 영향은 서부지역과 동북지역의 경우를 제외하고는 기여율이 상당히 낮은 것으로 파악되었다. 본 연구는 중국의 1인당경제성장률에 대한 각 성장요인의 의미를 찾았는데, 전국모형의 경우 자본의 기여율이 35.9%로 나타난 반면 노동기여율은 4.7% 수준에 불과한 것으로 분석되었다. 그리고 모든 모형에서 자본(rcap)이 중국경제 성장에서 가장 중요한 요인으로 입증되었다.

• 한국도로학회논문집
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• 제15권2호
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• pp.169-181
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• 2013

PURPOSES : This study is to suggest the Influence of road capital to industry and productivity growth in South Korea. METHODS : Based on the literature review, The relevant policy questions addressed in this report are : cost reduction and Scale elasticities of road, effect of road capital stock on demand for labor, capital and materials, marginal effect of road, industry TFP growth decomposition. RESULTS : The marginal benefits of the road capital at the industry level were calculated using the estimated cost elasticities. Demand for the road capital services varies across industries as do the marginal effects. The marginal benefits are positive for the principal industries. This suggests that for these industries the existing stock of road capital may be under supplied. The contribution of road capital to TFP growth is positive in principal industries. The main contribution of road capital is in the manufacturing industries ; the magnitudes of contribution varies among industries. These results indicate that growth in exogenous demand is most important contributor to TFP growth. CONCLUSIONS : The road capital have a significant effect on employment, private capital and demand for materials inputs in all industries. At a given level of output, an increase in road capital lead to variety to demand for all inputs in all industries.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.11-17
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• 2021

This study aims to know the contribution of external debt to Indonesia's economic growth. The data used a source from the Central Bank of Indonesia from 2011 to 2020. This empirical study uses a quantitative approach with Error Correction Model as the regression method. Government expenditure, government revenue, export, import, inflation, and exchange rate are control variables. The result of the descriptive statistic shows economic growth in Indonesia increased gradually from 2011 to 2020. The increase in economic growth occurred regardless of the contribution of external debt. It does, however, inform the public that Indonesia's economic system has seen successful investments. The result of the study is classified into long-term and short-term. External debt contributes to growth in the long term and has a significant impact. The study's findings will give Indonesia optimism that it can manage external debt as a source of domestic investment. This research may also persuade Indonesia to maintain its economic potency in the future. In the future, this research can be perfected, by adding a threshold level on the amount of Indonesia's external debt.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2003년도 춘계학술대회
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• pp.211-222
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• 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.

• 한국경영과학회지
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• 제30권4호
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• pp.15-25
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• 2005

As implied by the terms of IT productivity Paradox, measuring the Information technology contribution to economic performance has been one of the challenging issues to both policy makers and business professionals. As such, diverse attempts with sophisticate analyses have been reported in the literature to analyze the effect of IT contributions. In this paper, we follow Growth Accounting Method to measure the IT contribution effect to manufacturing firm's economic performance in Korea. Various regression methods and statistical analyses are applied with fourteen years of industry Panel data. Using the Cobb-Douglas function, time lag analysis is made to understand IT effect to economic growth. Instead of capturing data from individual firm, industry level data from the National Statistics Bureau is used for IT capital, non-IT capital, and so on. Statistical analysis following the panel unit test and Panel co-integration test was performed to reveal the exact effect of IT contribution to economic performance. Empirical testing results for non-stationary nature of IT investment effect are reported as well as IT contribution to manufacturing industry's economic performance.