• Environmental and Resource Economics Review
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• v.5 no.1
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• pp.113-136
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• 1995

자원 및 환경이 경제에 미치는 영향이 큼에도 불구하고 경제-환경의 상관관계를 분석하는 방법은 아직 초보 단계에 있다. 본 연구에서는 UN, 세계은행, 멕시코 정부가 구축한 환경계정(環境計定)을 한 국가의 경제상태를 사회계정에 도입한 후, 환경(環境)-사회계정(社會計定)(ESAM) 행렬을 구축하고, Pyatt와 Round의 분할 행렬 방법에 의해서 직 간접 파급승수 효과를 측정하여, 환경관련 외생변수가 경제변수에 미치는 효과를 분석하였다. 분할 행렬 분석 결과, 농업관련 외생변수에 변화가 있으면 제조업 부문과 상업부문, 민간 서비스부문(금융, 보험, 부동산)이 가장 크게 영향을 받는 것으로 나타났다. 또한 레온티에프의 승수효과와 유사한 전이효과(轉移效果)는 순수한 간접효과인 순환효과의 상쇄로 인해 기존의 산업 연관분석에 의존한 분석은 경제와 환경의 관계를 과대추정할 수 도 있다는 것이다. 자본 투자가 5% 감소할 경우, 경제 전 부문에 상당한 영향을 준 것으로 나타났으며 생산부문에서는 임업, 건설업이 가장 영향을 받으며, 환경부문에서는 토양의 침식으로 인한 환경서비스의 감소가 가장 크게 영향을 받는 것으로 추정되었고 수산자원 또한 많은 영향을 받는 것으로 나타났다.

• International Area Studies Review
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• v.14 no.1
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• pp.33-53
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• 2010

This study has analysed riffle effect of shipbuilding business on regional economy in Jeonnam. For the analysis on connection to regional business, the most favored way to estimate economic effect of a certain industry in the nation and overseas, has been adopted. As a result of analysis, in case of 1,908,800 million won turnover in shipbuilding in Jeonnam, it would induce about 3,038,624 million won of production, about 940,656 million won of added value, about 13,361 employment and about 702,056 million won of income. Seeing production riffle effects of shipbuilding industry in Jeonnam on other businesses in the same area, it is found out to influence in order of on the primary industry metal products 458,784 million won, chemical products 128,250 million won, metal products 71,498 million won and on petrol and coal products 50,829 million won. Like this, shipbuilding industry is highly connected with metal and chemical industries, which make a cluster in eastern area of Jeonnam, suggesting that growth of shipbuilding industry in Jeonnam would maximize inter-industrial synergy effect in the region.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.247-258
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• 2020

The purpose of this study is to synthesize and specifically analyze the effects of elementary SW-STEAM Education on learning outcomes by using meta-analysis. 29 papers are selected and total of 60 effect sizes are deduced. Total effect size is a medium effect of .35, which reveals significant effect on the cognitive and affective domains, and 8 moderator variables explain the difference in total effect sizes as well. The results show that SW-STEAM education is effective for elementary students' learning outcomes. Practical implication for design and implementation are addressed.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.568-571
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• 2010

본 연구의 목적은 감귤 기능성물질의 산업화 타당성 분석을 하는 것이다. 구체적인 경제성 분석방법은 순현가와 투자수익률(내부수익률)을 이용한 기본적인 경제성분석과 손익분기점분석, 그리고 주요변수들의 변화에 따른 순현가의 변화를 파악하기위한 민감도분석이고, 정책적 분석은 감귤기능성 물질산업화가 감귤산업 전체에 미치는 파급효과를 계량적, 정성적으로 분석하였다. 감귤 기능성물질의 산업화 타당성 분석결과에 따르면, 미숙과 감귤 2만톤과, 감귤박 2만톤을 처리한다고 가정했을 경우 감귤산업에 미치는 경제적 효과는 연간 5백억원으로 나타났다. 이러한 막대한 경제적 효과는 본 사업에 투자되는 전체비용 약 1백억원, 10년 사업기간을 가정하면 연간 10억원의 설비투자비로 그의 50배의 경제적 파급효과를 나타날 수 있기 때문에 감귤기능성물질의 산업화효과는 매우 큰 것으로 나타났다.

• LP가스
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• s.67
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• pp.26-32
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• 2000

도심지내에 위치한 부천 LPG충전소 사고 조사를 통하여 가장 피해효과가 큰 탱크로리 폭발에 따른 결과를 분석하였다. 분석범위는 BLEVE 현상에 의한 방출열과 과압이 충전소 주변에 위치한 구조물이나 인체에 미치는 영향을 대상으로 실제 현장조사를 통하여 수집된 피해결과와 이론적인 모델(PHAST-Process Hazad Analysis Software Tools) 분석 결과를 비교하였다. 부천 LPG 충전소 폭발 사고의 피해효과는 방출열의 경우 두 가지 모두 큰 차이를 보이지 않았으나 과압의 경우, 실제 피해는 이론적 모델 분석결과의 약 15%정도에 해당하는 축소된 거리에서 나타났다. 또한 충전소 인근에 위치한 구조물에 대한 피해효과는 부분적으로 과압에 의한 균열 및 붕괴 현상보다는 열 효과에 의한 콘크리트 강도 저하와 성상변화가 크게 나타났다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.429-431
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• 2010

태풍 및 지형에 대한 컴퓨터 시뮬레이션과 기상관측자료에 대한 분석을 통해 장대교량의 가설위치에서 발생할 수 있는 풍환경을 분석하고 설계풍속을 산정하였다. 설계풍속의 산정은 내풍 설계를 위한 하중을 결정하는 과정으로 내풍설계의 기본이 되는 부분이다. 풍환경 분석 과정은 Monte Carlos(이하 MC) 태풍 시뮬레이션 분석, Gumbel 극치분석, CFD 지형효과 분석으로 구성된다. MC 태풍시뮬레이션 분석을 통해 태풍시기(6~10월)의 재현주기별 강풍발생빈도를 도출하였다. Gumbel 극치분석을 통해 인근의 기상관측자료로부터 전년도에 대한 재현주기별 강풍발생빈도를 도출하였다. CFD 지형효과 분석을 통해 분석대상지역의 주변지형으로 인한 풍속증감효과를 분석하였다. 각 결과를 종합하여 보수적인 재현주기별 설계풍속을 산정하였다.

• Economic Analysis
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• v.17 no.4
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• pp.30-51
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• 2011

Since the previous studies on the effects of trade liberalization implicitly assume that trade liberalization affects economic performance only in any point in time, they inevitably are static. Static evaluations fail to account for cumulative dynamic effects of trade liberalization that affect continuously economic performance. This paper tries to fill this gap of the previous studies in this field, estimating cumulative effects of trade liberalization on economic performance by employing an dynamic version of empirical model. One of important empirical issue is controlling bias from endogeneity. To resolve this problem, this paper employes system GMM that uses lagged first-differences as instruments for level equations and lagged levels as instruments for first-differences equations. It improves upon cross-section estimators because it controls for the potential bias induced by the omission of industry-specific effects and the endogeneity of all regressors. This study investigates the effects of trade liberalization in Korean manufacturing for the period from 1988 to 2005 and finds that cumulative dynamic effects of trade liberalization are present and bigger than static effects.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.1-10
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• 2013

The value added network service industry has played and important role in the telecommunication service industry and in the economic development of Korea. This study uses input-output analysis to investigate the role of value added network service sector in the Korean national economy for the period 2000, 2005, 2009, focusing on four topics in its application: production inducing effects, value-added inducing effect, employment-inducing effects by demand-driven model and supply shortage effect by supply-driven model, inflation impacts by the Leontief price model, finally analysing inter-industry linkage effects. The results of this study are as follows: production inducing effects analysis 2000 0.5253won to 2009 1.31314won, value-added inducing effects 0.25112won to 0.5337won employment inducing effects from 0.09749 to 0.21025 people grew, the supply shortage effect from 1.29003 to 2.12048won, price impact of Leontief price model was increased from 0.0022% to 0.00258%. Finally, inter-industry linkage effects, appeared to have the characteristics of final demand raw industrial.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.460-472
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• 2015

The aim of this study is to analyze the Weekend and January effect in the Ghana Stock Exchange (GSE) using daily closing prices of GSE-All Share Index (ASI) and Composite Index (CI) between the period of January 4th, 2005 and December 31st, 2013. The dataset covers the period of 2005 to 2010 (6 years) for the ASI and 2011 to 2013 (3 years) for the CI. The following results are obtained based on a parametric regression using dummy variables. First, no weekly effect or anomaly is documented for both GSE-ASI and GSE-CI. Second, market abnormalities are captured for both GSE-ASI and GSE-CI over their respective entire periods. However, no consistent April effect is found for ASI when the period was segregated into two periods of three years. The April effect is uncovered for the GSE-ASI at 5% significant level while the January effect is found for the GSE-CI at 1% significant level.

• Journal of Industrial Convergence
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• v.18 no.5
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• pp.97-101
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• 2020

This study intended to analyze effects of education of python through meta-analysis. The researcher selected five primary studies reporting statistical data after implementing education of python in elementary classroom settings. Three research questions were stated. What is the total effect size of education of python? What are effect sizes of publication type, dependent variable, and etc.? What are results of meta-regression analysis by grade level, period, and etc.? Findings are as follows. The overall effect size was .598, which is medium. For categorical variables, the effect size of peer-reviewed journal articles was larger than theses. The effect size of affective domain was larger than student achievement and cognitive domain. For meta-regression analysis, education of python was more effective as the period and duration of the program increased. Finally, discussions and recommendations including qualitative investigation on affective domain and program management considering characteristics were presented regarding research findings.