• Journal of Korea Port Economic Association
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• v.17 no.1
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• pp.53-72
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• 2001

This study focuses on analyzing the economic effects and probes the necessity of establishing a customs free zone at the Port of Busan. It first considers the economic effects of establishing a customs free zone at the Port of Busan, then suggests policy prescriptions for introducing and operating the free zone system and improving the logistics functions of the Port. The timeline of this study is focused on 2007, when all of Busan Port will operate as a customs free zone and the first stage of the New Busan Port and distribution parks will be built and opened for operation. The regression analysis, which was conducted using the inter-industry relations table(input-output table data), provided a quantitative prediction on the effects of making Busan Port into a customs free zone. Regarding the impact of a free zone system on the domestic and regional economy, this research found that the impact of a customs free zone on domestic industries and the regional economy once the customs free zone is established throughout all of Busan Port would be highly positive. The positive economic effects on the domestic and Busan regional economy might be further strengthened if the value-added logistics function of Busan Port could be supplemented by effective linking to the hinterlands.

• Journal of Korean Home Economics Education Association
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• v.6 no.2
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• pp.13-30
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• 1994

Currently, textbooks of practical arts in the elementary school are being revised for the sixth time. All the students in the third, fourth, fifth and sixth grade of elementary school will learn these new textbooks beginning in March, 1995. The purpose of this study is to develop teaching models suitable for the new textbooks of practical arts under the sixth curriculum in the elementary school. The results of this study are summarized as follow: 1. Teaching guidances with subject matters in new textbooks are presented in Table 2, 3, 4, 5. The subject matters for each grade are divided into four main areas under the sixth curriculum. 2. The subject matters under the sixth curriculum are clothing, food, houseing, gradening, computer, industry and commerce. These are included in the four main areas of handling, making, cultivating or breeding and keeping. Activities or contents in these main areas are not necessarily related to each other in sequence. 3. The subject matters in the main areas are not perfectly constructed in accordance with the level of child development. 4. Teaching models and their example for each teaching unit are presented in Table 6, 7, 8, 9, 10.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.363-373
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• 2021

The purpose of this research is to analyze the Spill-over economic effect of the cultural and creative industries(CCI) in Henan Province, China. The research object is the CCI of Henan Province, which is mainly based on five sectors out of 42 industries in the industrial association table of the Statistical Bureau of Henan Province, China in 2017 (culture, sports; recreation and research sector; experimental development and integrated technical services sector; information transmission, computer services and software sector; education sector, etc), and is analyzed through secondary integration and redefinition of the CCI of Henan Province. Through the analysis of Henan Province Industry Association Table, this paper provides some enlightenment to the future direction of the cultural and creative industries. The main analysis results are as follows. The total production inducement of the CCI in Henan province is 48,848 billion yuan, and in particular, the production inducement coefficient of the industry in Henan province is 2.72809, 2.23909 (total of columns and rows), Index of the power of dispersion is 0.26325, and the index of the sensitivity of dispersion is 0.87535. Income induction coefficient is 0.55211, production tax induction coefficient is 0.09291. Because CCI of Henan Province has full development potential, the government needs to provide active support and policy support, in addition to the need for legal provisions and supervision of market management. In order to improve the innovative development of the CCI, it is necessary to develop a new model of "CCI+X".

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.67-76
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• 2017

In industrial site in various fields it will be generated in combination with large amounts of data have a correlation. It is able to collect a variety of data in types of industry process, but they are unable to integrate each other's association between each process. For the data of the existing industry, the set values of the molding condition table are input by the operator as an arbitrary value When a problem occurs in the work process. In this paper, design the fusion and analysis processing model of data collected for each industrial type, Prediction Case(Automobile Connect), a through for corporate earnings improvement and process manufacturing industries such as master data through standard molding condition table and the production history file comparison collected during the manufacturing process and reduced failure rate with a new molding condition table digitized by arbitrary value for worker, a new pattern analysis and reinterpreted for various malfunction factors and exceptions, increased productivity, process improvement, the cost savings. It can be designed in a variety of data analysis and model validation. In addition, to secure manufacturing process of objectivity, consistency and optimization by standard set values analyzed and verified and may be optimized to support the industry type, fits optimization(standard setting) techniques through various pattern types.

• Environmental and Resource Economics Review
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• v.20 no.1
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• pp.1-31
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• 2011

By employing Environmental Input-Output Table 2005, which has 76 intermediate sector and 21 energy sources, this paper analyses the flow of energy demand and $CO_2$ after estimating an induced $CO_2$ emissions from 76 industrial sectors. Index of $CO_2$ intensity($CO_2/GDP$) and other index of $CO_2$ intensity($CO_2/calory$) showed that final demand sector uses more high calory energy source. Intermediate sector used less environmental friendly energy source and emit more $CO_2$ at same calory. Industries those has high induced $CO_2$ emissions are Thermal Power($32.587CO_2-g/Won$), Cement($10.370CO_2-g/Won$), Road Transportation($7.255CO_2-g/Won$), Cokes and Other Coal Products($5.791CO_2-g/Won$), Steam and Hot water supply, Sewage, Sanitary services($4.575CO_2-g/Won$). It is shown that industry such as Iron and Steel which has low $CO_2$ intensity, high backward linkage effect and high forward linkage effect makes high induced $CO_2$ emissions. Environmental load and $CO_2$ emissions in overall economy will decrease when not high $CO_2$ intensity industry but also low $CO_2$ intensity industry makes lower $CO_2$ intensity.

• Environmental and Resource Economics Review
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• v.15 no.3
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• pp.425-450
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• 2006

The index of energy intensity(energy/GDP) has been a primary policy concern since it can clarify industry sectors which use energy intensively and generate $CO_2$ emission heavily. Although energy intensity index may be suitable for estimating $CO_2$ emission from an isolated industry sector, we need an index for induced $CO_2$ emission since industrial activities are interconnected in terms of input and output. By employing Environmental Input-Output Table 2000, this paper analyses the flow of energy demand and pollutants after first estimating an induced $CO_2$ emissions from various industrial sectors and economic activities. The paper reports higher induced $CO_2$ emissions from industry sectors with larger energy intensity since they produces goods or services retaining relatively considerable environmental load. Furthermore, it is shown that environmental load and $CO_2$ emissions in overall economy are likely increasing when the products of energy intensive industrial sector is used as inputs for less intensive sectors' production process. The result suggests we need consistent policy efforts to reduce energy intensity to lower $CO_2$ emissions.

• Journal of Korea Port Economic Association
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• v.25 no.4
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• pp.147-164
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• 2009

The short-term impact of the recent depreciation of Korean Won on the cost of the Korean logistics industry, which was caused by the global liquidity crisis began from the American financial market in 2007, is analyzed through the inter-industry analysis. The input-output data of the 2007 benchmark input-output accounts table which was most recently published by the Bank of Korea in 2009 have been utilized for the analysis. The results show that the cost of the Korean logistics industry as a whole rises 4.24% when the Korean exchange rate is depreciated by 10%. The impact of the depreciation of Korean exchange rate on the cost of the Korean logistics industry for December, 2007 ~ December, 2008 is estimated to be about 31.1 billion Won. If the Korean logistics companies should cover the rising cost of 11.7 billion Won only through sales promotion, then they should sell 1.9 times as much their current sales amount, which means 101.6 billion Won's worth of sales should be made.

• Journal of Distribution Science
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• v.21 no.7
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• pp.65-71
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• 2023

Purpose: This study attempted to analyze the impacts of the backward linkage and output multipliers, and investigate the price fluctuation and the price forecast amongst the manufacturing sectors associated with food processing industrial output of Thailand. Research design, data and methodology: The Thailand Input-Output table with a size of 180 x 180 sectors from 2005, 2010, and 2015 was utilized while the secondary data of the time series from January 2002 to December 2021 were processed via a multiplicative model and Box-Jenkins model. Results: The backward linkage analysis indicates that canning and preserving of the meat sector majorly utilized the factors of production from the slaughtering sector; canning and preservation of fish and other seafoods sector largely used those factors from the ocean and coastal fishing sector; and the sugar sector used those of the sugarcane sector. Notably, the output multiplier analysis indicated that output multipliers of those 3 manufacturing sectors were highly increased; meanwhile the price fluctuation continually existed in all forms. Besides, the price forecast suggested that prices of chicken and sugarcane tended to be higher; whereas, the price of shrimp was unstable. Conclusions: Food processing industry contains the favorable components to be one of the industries of the future of Thailand.

• Korea Trade Review
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• v.47 no.5
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• pp.147-160
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• 2022

This study aim to use the GTAP model to analyze the impact of RCEP Fermentation in the Korean manufacturing industry by quantifying the RCEP tariff commitment table. The research results show RCEP has boosted output in all sub-manufactures except wood and printed matter due to increased export volumes. Wood products, on the other hand, are more reliant on imports due to lower production due to lower domestic sales or overall exports. After RCEP came into effect, the import and export scale of Korea's manufacturing industry expanded effectively. Among them, the positive impact on the intensive low-tech manufacturing industries such as clothing and leather products, wood products and printing products, and food, beverage and tobacco products is greater than the positive impact on the technology-intensive medium and high-tech and high-tech manufacturing industries. And found that the growth rate of Korea's manufacturing trade is basically proportional to the tax reduction rate of RCEP. Finally, in order to promote the development of the manufacturing industry, some suggestions are put forward that need the government's policy support and strengthen the regional cooperation with RCEP member countries.

• Journal of Korea Water Resources Association
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• v.47 no.2
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• pp.95-106
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• 2014

This paper analyses the economic effects of the water industry on the Korean economy by using Social Accounting Matrix (SAM). The SAM is constructed based on the Input-Output table, National account and Family income and expenditure survey for Korea in 2009. Through the SAM multiplier analysis, I estimate the effects of water investment. As the results, this study has found the followings. i) output multiplier effects of water sector are 5.300~7.741, ii) value added multiplier effects of water sector are 0.685~1.158, iii) income multiplier effects of water sector are 0.511~0.984, iv) redistributed income multiplier effects of water sector are -0.096~0.247. The results indicate that a significant influence on the industrial production and the household income in Korea.