• Title/Summary/Keyword: Economic impact analysis

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Effects of Experiences of Elderly Using Social Welfare Organizations in Socio-economic Deprivation on their Relational Aggression Damage Experiences: Verification of the Mediating Effects of Rejection Sensitivity (기관이용 노인의 사회경제적 박탈 경험이 관계적 공격성 피해 경험에 미치는 영향: 거부민감성의 매개효과 검증)

  • Jeong, YoungHee
    • The Journal of the Korea Contents Association
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    • v.18 no.6
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    • pp.267-282
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    • 2018
  • This study analyzes the impact of the experiences of elderly using social welfare organizations in socio-economic deprivation on their relational aggression damage experiences, and verifies the mediating effects of rejection sensitivity. For data collection, 275 of 290 questionnaires, excluding 15 questionnaires with inadequate responses, were used for the final analysis. The SPSS and AMOS programs were used for data analysis through the following procedures. The analysis showed that socio-economic deprivation experiences, relational aggression damage experiences, and rejection sensitivity were higher for the groups of male elderly, higher age, education above college, absence of spouse, and longer institutionalization. The size of indirect effect (${\beta}=.32$) was larger than that of direct effect (${\beta}=.14$), signifying that the indirect impact through rejection sensitivity was larger than the impact of socio-economic deprivation on the experiences of damage by relational aggression. With the above findings, this study makes practical suggestions for institutional measures to reduce the elderly's relational aggression damage experiences and rejection sensitivity and programs on socio-economic deprivation, etc.

The Influence of Store VM and Shopping Values on Male University Students' Clothing Purchase Behavior (매장의 VM과 쇼핑가치가 의복구매행동에 미치는 영향 - 남자대학생을 중심으로 -)

  • Oh, Hee-Sun
    • Fashion & Textile Research Journal
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    • v.10 no.3
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    • pp.316-321
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    • 2008
  • The purpose of this study is to find what male consumers value in their clothing behaviors, as well as to investigate how the consumers' shopping values and store VM impact on their clothing purchase behaviors. For data collection, research questionnaires were responded by 202 male students living in Busan. The collected data were analyzed according to the frequency-factor analysis using SPSS for win 10.1 Package, the factor analysis using Varimax, reliability analysis, and multi-regression analysis. The results of this study are as follows; First, the shopping values were composed of hedonic, utilitarian, and economic value, and VM was divided into store facility, store image, layout, and fashion information. Second, multi-regression analysis was conducted to find the impact of consumers' shopping values on their clothing purchase behaviors. The result showed that the hedonic shopping value and utilitarian shopping value significantly affected the consumers' clothing purchase behaviors, while economics shopping value did not show any statistical significance. Third, multi-regression analysis was conducted to find the impact of store VM on consumers' clothing purchase behaviors. The result showed that store image, layout, and fashion information had a significant impact on consumers' clothing purchase behaviors.

Analysis of Impact Factors for the Improvement of Conceptual Cost Estimation Accuracy for Public Office Building (공공청사 개산견적 정확도 향상을 위한 공사비 영향요인 분석)

  • Jo, Yeong-Ho;Yun, Seok-Heon
    • Journal of the Korea Institute of Building Construction
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    • v.21 no.5
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    • pp.495-506
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    • 2021
  • A Conceptual cost estimate, which is computed in the preliminary step of a project, is important for decision-making by a contractor in terms of the project budget, economic feasibility and validity analysis, and alternative comparisons. Therefore, a high error rate of a prediction model for a conceptual cost estimate can lead to various problems including excessive project expenditures and a delayed break-even point. this study proposed optimal impact factors by configuring quantitative impact factors computable in a preliminary step in various cases(combinations of impact factors). subsequently, the accuracy of different cases was comparatively analyzed by using the cases as input values of a prediction model using regression analysis. when the optimal combination of impact factors proposed in this study and other combination of impact factors were applied to the prediction model, the regression analysis-based prediction model exhibited 0.2-4.7% improvements in accuracy, respectively. the optimal combination of impact factors proposed in this study improved the accuracy of the prediction model of a conceptual cost estimate by removing unnecessary impact factor.

Assessing synoptic wind hazard in Australia utilising climate-simulated wind speeds

  • Sanabria, L.A.;Cechet, R.P.
    • Wind and Structures
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    • v.15 no.2
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    • pp.131-145
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    • 2012
  • Severe wind is one of the major natural hazards in Australia. The component contributors to economic loss in Australia with regards to severe wind are tropical cyclones, thunderstorms and subtropical (synoptic) storms. Geoscience Australia's Risk and Impact Analysis Group (RIAG) is developing mathematical models to study a number of natural hazards including wind hazard. This paper discusses wind hazard under current and future climate conditions using RIAG's synoptic wind hazard model. This model can be used in non-cyclonic regions of Australia (Region A in the Australian-New Zealand Wind Loading Standard; AS/NZS 1170.2:2011) where the wind hazard is dominated by synoptic and thunderstorm gust winds.

The Classification and Management Plan of City for Sustainable Development (도시의 지속가능한 발전을 위한 유형분류 및 관리방안)

  • Lee, Woo-Sung;Jung, Sung-Gwan;Park, Kyung-Hun;You, Ju-Han;Kim, Kyung-Tae
    • Journal of Environmental Impact Assessment
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    • v.17 no.6
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    • pp.335-348
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    • 2008
  • The purpose of this study is to classify the cities on sustainability assessment score studied in advance using cluster analysis, to present efficient management and policy direction based on analysis of sustainability index in 45 cities of all over Gyeongsangnam and Gyeongsangbuk-do. According to the results of cluster analysis, 45 cities were classed into 4 clusters by "livable-welfare city", "environmental -ecological city", "scientific-technological city", and "industrial-economic city". The livable-welfare cities must keep superior environmental sustainability, promote small and medium sized business on regional characteristic. The environmental-ecological cities have to change agriculture into future environmental industry such as ecotourism, bio-industry and landscape agriculture. The scientific-technological cities are going to need support of government scale such as income enlargement of citizen and stable job security. Finally, the industrial-economic cities must increase environmental management plants and improve quality of life through securing green spaces, maintaining public peace and applying UIS because of low quality of environment and life.

Comparative Study of Causality based quantitative Economic Impact Analysis Models for Utilizing Spectrum Resource (전파자원 활용을 위한 인과 관계 기반 정량적 경제 파급 효과 분석모형 비교 연구)

  • Kim, Taehan;Kim, Tae-Suk
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.430-446
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    • 2018
  • In this paper, we conducted a comparative study on the methodology for impact analysis as the economic grounds for formulating policy and investment plan concerned with utilizing spectrum resource. In order to provide numerical results for objective comparison and selection among policy and investment planning, methods to be analyzed are focused on quantitative methodology based on mathematical models, consequently the utility and limits of econometric model, input-output analysis, computable general equilibrium and system dynamics are compared from various viewpoints including analysis cost. Besides, we compared the methodologies in the standpoint of utilizing spectrum and discussed the recent findings of mixed models combining multiple methodologies to exploit the advantages of each methodology and to offset the limit. Results of the research can be used as reference indicators to select the method that conforms to the purpose and priority of analysis verifying the efficiency of execution of policies and investment plans.

Development of Economic Prediction Model for Internal Combustion Engine by Dual Fuel Generation (내연기관엔진의 가스혼소발전 경제성 예측모델 개발)

  • HUR, KWANG-BEOM;JANG, HYUCK-JUN;LEE, HYEONG-WON
    • Transactions of the Korean hydrogen and new energy society
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    • v.31 no.4
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    • pp.380-386
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    • 2020
  • This paper represents an analysis of the economic impact of firing natural gas/diesel and natural gas/by-product oil mixtures in diesel engine power plants. The objects of analysis is a power plant with electricity generation capacity (300 kW). Using performance data of original diesel engines, the fuel consumption characteristics of the duel fuel engines were simulated. Then, economic assessment was carried out using the performance data and the net present value method. A special focus was given to the evaluation of fuel cost saving when firing natural gas/diesel and natural gas/by-product oil mixtures instead of the pure diesel firing case. Analyses were performed by assuming fuel price changes in the market as well as by using current prices. The analysis results showed that co-firing of natural gas/diesel and natural gas/by-product oil would provide considerable fuel cost saving, leading to meaningful economic benefits.

The Economic Impacts of Pacific Ocean Deep-sea Manganese Nodule Development Project (태평양 심해저 망간단괴 개발사업의 경제적 파급효과)

  • Yoo, Seung-Hoon;Jeong, Dong-Won;Park, Se-Hun
    • Ocean and Polar Research
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    • v.32 no.4
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    • pp.489-499
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    • 2010
  • The securing of raw material is an important requirement for economic development. Many countries, including Korea, actively seek out a stable supply of minerals such as manganese. Manganese nodules are rock concretions on the sea bottom formed of concentric layers of iron and manganese hydroxides around a core and include several strategic minerals necessary for economic development. In particular, the manganese nodule development project (MNDP) plays an important role in the Korean national economy. This study attempts to apply input-output (I-O) analysis in investigating the economic impacts of the MNDP in the Korean national economy. A static I-O framework was employed, focusing on four topics in its application; the production-inducing impacts, the value-added-inducing impacts, the employment-inducing impacts and R&D-inducing impacts of MNDP investments on other sectors. To this end, several versions of the demand-driven models are utilized. In addition, inter-industry linkage analysis is performed to obtain information on the forward and backward linkage effects of industries, including MNDP, to quantify the strength of causation among these industries.

Personal Economic Indicator and Its Distribution on Household Consumption Level

  • PRILMAYANTI, Sri;HASANUDDIN, Basri;Fatmawati;DWIANA SARI.S, Nur
    • Journal of Distribution Science
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    • v.20 no.4
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    • pp.1-7
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    • 2022
  • Economic progress has changed views of people in interpreting welfare and this affects the level of household consumption expenditure. An analysis of this issue is important to do so that the community may encourage the utilization and distribution of community welfare to be wiser and balanced in order to achieve the properness and appropriateness of welfare programs management with the development goals. Purpose: This study aims to analyze the impact of personal income, experience on lifestyle, and its distribution to household consumption of Makassar City Industrial workers. Research Design, Data, and Methodology: Data collection in this study was carried out by distributing questionnaires to 100 respondents in Makassar City, South Sulawesi. Partial Least Square (PLS) analysis was used as data analysis. Result: This study indicated income has a positive and significant effect on lifestyle, while experience has no significant effect on lifestyle, and family member has a positive and significant effect on lifestyle. This study also indicated that lifestyle has a significant effect on Household Consumption. Conclusion: Consumption patterns are influenced by many factors, so people need to be wise in regulating consumption patterns and managing the distribution of their economic resources in order to achieve balance of economic in family.

Korean Exchange Rate Regime Change and Its Impact on Inflation in Comparison to Japan and Australia (한국 환율제도의 변화가 국내물가상승에 미치는 영향: 일본 및 호주와의 비교분석)

  • Lee, Byung-Joo
    • KDI Journal of Economic Policy
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    • v.28 no.1
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    • pp.193-218
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    • 2006
  • This paper examines the macroeconomic structural differences of the free floating exchange rate regime and the managed float exchange rate regime focusing on the Korean economy, and compares it to the two benchmark economies, Japan and Australia. Korea's shift to the free floating exchange rate regime from the managed float exchange rate regime came after the 1997 economic crisis. Korea's exchange rate policy provides a unique opportunity to study the different behaviors or roles, if any, of managed float and free floating exchange rate regimes. Based on a simple monetary model, we find that the exchange rates of Korea are more sensitive to the economic fundamentals under the free floating regime than under the managed float regime. Impulse response analysis shows that exchange rate pass-through into domestic variables, especially inflation rate, has a bigger short-term impact under the floating regime than under the managed regime. This finding is consistent with the view that the managed (or fixed) regime provides the domestic price stability necessary for the economic growth for the developing countries.

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