• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.57-63
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• 2002

The construction market has a major impact on the overall United States economy. Recent statistics estimate the gross domestic product (GDP) of the U.S. construction industry at some $416.4{\$}$ billion dollars, representing approximately $4.5\%$ of the U.S. GDP. Because the business environment in construction is highly competitive, the participants in the industry must improve their performance and processes to survive. Hence, Benchmarking has been generating interest in the construction industry. This paper provides an overview of the CII Benchmarking and Metrics Program. Following some background and a descriptive discussion of the database, an abridged presentation of result of data analysis. The adoption of benchmarking in Korean construction industry can be another opportunity to improve Korean construction industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.62-66
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• 2003

In 1998, Korea IT company operation 10,000 and Gross Domestic Product(GDP) was 9.3%, IT industry employee 380,000 persons. In 2001, growing the company 20,000, GDP 12.9％ and 500,000 employee. National policy have diverse programs to the IT sector. Ministry of communication(MOC or MIC) have invested by the R & D Program from later 1980'. National subsidizes direct or indirect to the programs, it's not market principal but subsidized to organization(Institute, college, company etc), this paper analysis the national subsidize system and suggestion the advanced system.

• Journal of Korean Society of Rural Planning
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• v.20 no.1
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• pp.127-134
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• 2014

This study, in order to complement instability of analysis result stemming from the choice between reference point and comparison point which is pointed out as the defect of shift-share analysis, conducted shift-share analysis using Gross Regional Domestic Product (GRDP) trend of Geumgang area, Chungcheongnam-do for the period from 2000 to 2011. As a result of the analysis, (1) industries that had both the positive Regional Share Effect (RSE) and Industrial Mixed Effect (IME) were service industries such as manufacturing industry, electricity gas, transportation industry, art, etc., which are positively influencing the regional industry. (2) industries that had both the negative RSE and IME were other service industries such as wholesale and retail businesses, lodging industry, food industry, real estate business and leasing service, business service industry, public administration, etc., which provide basic livelihood services for the residents. (3) industries that had the positive RSE and negative IME were agriculture, forestry and fishery industry, mining industry, construction industry, and educational service industry. (4) industries that had the negative RSE and positive IME were info-communications industry, financial and insurance businesses, health industry, etc.

• Asian Journal of Atmospheric Environment
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• v.3 no.1
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• pp.19-26
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• 2009

The environmental Kuznets curve hypothesis assumes an inverted U-shaped relationship between environmental damage and income, and such curves have been used to study how economic growth affects the environment. In this study, we analyzed data for gross domestic product (GDP) per capita and for sulfur emissions in the industrialized countries of the United Kingdom, United States of America, and Japan, as well as data for the developing country of China, to determine the relationship between emissions and income in these countries. Attempts by these countries' governments to incorporate environmental policy considerations into the income-environment relationship were also examined. The potential role of the environmental Kuznets curve as a policy tool was investigated. We determined that, at least in the case of sulfur emissions, policies and institutions significantly reduced environmental degradation in the industrialized countries studied. Furthermore, the environmental Kuznets curve can reliably predict the future relationship between environmental impact and GDP for developing countries.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.2
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• pp.19-23
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• 2017

It is undisputable that crude oil and its price fluctuations are major components that affect most of the countries' economies. Recent studies have demonstrated that beside the impact that crude oil price fluctuations have on common macroeconomic indicators like gross domestic product (GDP), inflation rates, exchange rates, unemployment rate, etc., it also has a strong influence on stock markets and their performance. This relationship has been examined in a number of settings, but it is yet to be unraveled in the Omani context. Accordingly, the main purpose of this study is to examine the possible effect of the oil price fluctuations on stock price movements. The study applies Toda and Yamamoto's (1995) Granger non-causality test on the daily Oman stock index (Muscat Securities Market Index) and oil prices between the period of 2 January 2003 and 13 March 2016. The results indicated that the oil price fluctuations have a significant impact on stock index movements. However, the stock price movements do not have a significant impact on oil prices. These findings have significant implications not only for the Omani economy but also for the economy of similar countries, particularly in the Gulf Cooperation Council (GCC) countries. The latter should carefully consider their policies and strategies regarding crude oil production and the generated income allocation as it might potentially affect the financial markets performance in these countries.

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

• Korean Journal of Agricultural Science
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• v.25 no.1
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• pp.41-51
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• 1998

This study not only carried out to grasp about the sununarized characteristics of the relationship between international timber market and production trend of wood products, but also focused on the analysis of korean wood demand and the long-term forecast with econometric analysis. The result of regression analysis for wood demand in Korea is that coniferous roundwood demand(CIWD) is explained by coniferous foreign roundwood price(CWRI), Gross domestic product(GDP), a dummy variable. Non-coniferous roundwood demand(NCIWD)is explained by non-coniferous roundwood price(NCWRI), coniferous roundwood price(CWRI), a dummy variable. As the result of long-term forecast by base case, the total roundwood demand was forecasted $11,107,000m^3$ in the year 2000, $11,781,000m^3$ in 2005, $12,565,000m^3$ in 2010. As the result of scenario 1, total roundwood demand was forecasted $11,027,000m^3$ in 2000, $11,435,000m^3$ in 2005, $11,952,000m^3$ in 2010. And as the result by scenario 2, total roundwood demand was forecasted $11,341,000m^3$ in 2000, $12,208,000m^3$ in 2005 $13,257,000m^3$ in 2010.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.04a
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• pp.131-152
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• 2001

In this Era of Information and Localization, Gross Regional Domestic Product(GRDP) is recognized as indispensable informatin to establish regional economic policy. Especially, to raise Chungbuk provinece´s economical independence and to establish effectual regional economic development plans. Chungbuk province needs quarterly estimated GRDP for developing regional economic forecasting system. In this study, utilizing small area estimation is proposed to estimate the quarterly Chungbuk-GRDP provided by the Bureau of Statistics and nation´s GDP provid by the Bank of Korea exists. Moreover, from the nation´s quarterly GDP in each section of economical activity, this study has presumed the quarterly comovement, applied it to subdivide Chungbuk annual GRDP quarterly, and estimated quarterly Chungbuk-GRDP.

• Survey Research
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• v.2 no.2
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• pp.131-152
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• 2001

In this Era of Information and Localization. Gross Regional Domestic Product(GRDP) is recognized as indispensable information to establish regional economic policy. Especially, to raise Chungbuk province's economical independence and to establish effectual regional economic development plans, Chungbuk province needs quarterly estimated GRDP for developing regional economic forecasting system. In this study. utilizing small area estimation is proposed to estimate the quarterly Chungbuk-GRDP. To estimate quarterly GRDP. this study assumes that the comovement between the annual Chungbuk-GRDP provided by the Bureau of Statistics and nation's GDP provided by the Bank of Korea exists. Moreover, from the nation's quarterly GDP in each section of economical activity, this study has presumed the quarterly comovement. applied ft to subdivide Chungbuk annual GRDP quarterly, and estimated quarterly Chungbuk-GRDP.

• International Journal of Human Ecology
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• v.6 no.1
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• pp.61-74
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• 2005

This paper utilized a Korean time-use survey and household expenditure survey in designing an input-output table to develop satellite accounts of household production in Korea in 1999. Additionally, the household production in Korea was compared with that in the United States, Australia, Finland, and Canada. Results of this study may be summarized as follows. First, household production in Korea represented $43\%$ of Gross Domestic Product (GDP,) compared to $63\%$ of GDP in the United States, $68\%$ in Australia, $58\%$ in Finland, and $54\%$ in Canada. Second, labor emerged as the largest input for household production in Korea, while materials and services - both intermediate goods - emerged as the second input. On the other hand, the proportion of housing among the four inputs of household production in Korea was greater than for either the United States or the other countries studied. This implies that the cost of intermediate goods and housing in Korea is more expensive than in other countries.