• Title/Summary/Keyword: Economic impact

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Estimating the Economic Impact of '2011 Seoul Motor Show' Using Regional Input-Output Model: Based on Expenditures of Exhibition Attendees (지역산업연관모델을 이용한 '2011 서울모터쇼'의 경제적 파급효과 분석: 전시참관객의 지출액을 바탕으로)

  • Kim, Dae-Kwan;Han, Youn-Joo;Lee, Sang-Min;Choe, Yeong-Bae;Song, Soo-Yeop
    • The Journal of the Korea Contents Association
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    • v.11 no.10
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    • pp.187-196
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    • 2011
  • This study aimed to estimate the economic impact of the '2011 Seoul Motor Show' using a direct survey-based regional input-output(I-O) model. Based on the regional I-O table, Exhibition multipliers were derived with respect to output, income, employment, value-added and indirect tax. Attendees' survey was conducted to estimate per capita expenditure. The results of this study indicated that all attendees of '2011 Seoul Motor Show' generated 53.1 billion Won of output impact, 11.7 billion Won of income impact, 24.1 billion Won of Value-added impact, 2.6 billion Won of tax impact, and 1,030 part-time and full-time jobs throughout direct and indirect effects. Another result of this study was that output multiplier of the exhibition industry was similar with other industries, however, income, employment and value-added multipliers were relatively larger than those of other industries.

Developing and Evaluating Damage Information Classifier of High Impact Weather by Using News Big Data (재해기상 언론기사 빅데이터를 활용한 피해정보 자동 분류기 개발)

  • Su-Ji, Cho;Ki-Kwang Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.7-14
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    • 2023
  • Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people's life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing 'heavy snow' in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

The Impact of the Incheon Free Economic Zones on Regional Disparities in Incheon (인천 경제자유구역이 인천시 자치구(군)간 지역불균형에 미치는 영향분석)

  • Kim, Bora;Choi, Jinmu
    • Journal of the Economic Geographical Society of Korea
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    • v.17 no.1
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    • pp.86-97
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    • 2014
  • Incheon Free Economic Zone is the first free economic zone specified in 2003 in Korea. Previous research on the Free Economic Zone has focused on the activation of the free economic zone or foreign investment issue at the level of the national economic plan. Related to the development of a free economic zone, studies are currently insufficient on the relevance of the local economy, the development of linkages with hinterland, and the balanced regional development. Therefore, this study tried to investigate the impact of Incheon Free Economic Zone to the local economy through analyzing the causes and characteristics of the imbalance between the regions in Incheon by comparing before (1996~2002) and after (2003~2009) of the Incheon Free Economic Zone legislation (2003). The result shows that development of the free economic zone has not been connected to the local economy activation and the ripple effect on the old town in Incheon. Further, the construction of a large apartment and infrastructure in the free economic zones have increased the disparity between the free zones and the old town.

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Analysis of economic and environmental value of dredged soil (준설토의 경제적·환경적 가치 분석)

  • Cho, Sung-Soo
    • Journal of Environmental Impact Assessment
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    • v.22 no.6
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    • pp.659-665
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    • 2013
  • Most of dredged soil generating millions of tons per year is treated as a waste disposing in ocean or landfill except some part of recycling. The purpose of this study is to present the prerequisite for the use of dredged soil as a resource and analyse economic and environmental values of the recycling of dredged soil. The analysis of the economic and environmental value of recycling of dredged soil as a resource showed that several trillion won of budget can be saved in construction of disposal area or landfill and that loss of about 50 million tons of aggregates from deforestation can be restored by supplyment of dredged soil preserving a mountain as big as the Namsan(Mt.) every year. In order to utilize dredged soil in more diverse areas as high value of resource, the related domestic laws are needed to be readjusted integrating laws spreaded in different government departments and a special law is prepared and enacted.

The Impact of Product Distribution and Information Technology on Carbon Emissions and Economic Growth: Empirical Evidence in Korea

  • Lee, Jung Wan
    • The Journal of Asian Finance, Economics and Business
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    • v.1 no.3
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    • pp.17-28
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    • 2014
  • The paper deals with the impact of the product distribution and information technology sectors on energy resource use, carbon emissions and economic growth by examining the long-run equilibrium relationships and Granger causal relationships among these variables in South Korea. The quarterly time series data from the first quarter of 1970 to the third quarter of 2010 (163 observations) are collected and retrieved from the Bank of Korea database. The paper examines the long-run equilibrium relationships using cointegration techniques and Granger causality using vector error correction models. Test results indicate a long-run equilibrium relationship exists among these variables. In testing directional causality, both the product distribution and the information technology sectors show direct effects on economic growth but only marginal effects on carbon emissions.

Analysis of Economical efficiency for renewable energy in Steam Power Plant (신재생에너지 적용에 따른 화력발전 경제성분석)

  • Choi, Kyoung-Sik
    • Journal of Environmental Impact Assessment
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    • v.23 no.1
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    • pp.11-17
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    • 2014
  • Since the Renewable Portfolio Standard (RPS) would be started in 2012, the use of renewable energy should be 11% of total energy use including bio-fuel in 2030. The economic efficiency for renewable energy in B power plant was considered with the bio-diesel, wind power and solar power. The Net Present Value (NPV) and Benefit/Cost Ratio(BC) were used for the economic efficiency with the cost and benefit analysis. In case of bio-diesel, the cost resulted from the fuel conversion and the benefit would be created with trade and environmental improvement. With regard to wind power and solar power, the construction cost would be required and benefit factors would be same as the bio-diesel. The wind power was the best of economic efficiency of renewable energy as the results of NPV and BC ratio. Whereas, the market of wind power was very popular and the techniques of wind power has been developing rapidly.

Transport Spillover Effect on Airport Networks and Its Impact on Regional Economy (운송 파급효과가 항공네트워크와 지역경제에 미치는 영향)

  • Xinchen Wang;Po-Lin Lai
    • Korea Trade Review
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    • v.47 no.4
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    • pp.35-52
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    • 2022
  • Air transport is at the core of global economic growth. There is a close relationship between the flow of regional elements and the growth of the regional economy. It is easy to misestimate the impact of airports on the regional economy without considering spatial spillover effects. This study attempted to establish an asymmetric economic geographical weight matrix by applying the Spatial Durbin Model with cargo volume and passenger numbers as indicators. The influence of spillover effects on the regional economy, including direct spillover effects and indirect spillover effects are studied. The results revealed that passenger numbers and cargo volume have significant positive spillover effects on the regional economy. The driving effect of the airport on the regional economy was considered from a wider space scope. This study contributes to the scientific evaluation of the aviation economy.

Mitigating the Shocks: Exploring the Role of Economic Structure in the Regional Employment Resilience

  • Kiseok Song;Ilwon Seo
    • Asian Journal of Innovation and Policy
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    • v.12 no.3
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    • pp.323-344
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    • 2023
  • This study investigates the resilient structural characteristics of a region by assessing the impact of the financial crisis. Utilizing panel data at the prefecture level for metropolitan cities across pre-shock (2006-2008), shock (2009), and post-shock (2010-2019) periods, we calculated an employment resilience index by combining the resistance and recovery indices. The panel logit regression measures the influences of the region's industrial structure and external economic factors in response to the global financial crisis. The results revealed that the diversity index of industries contributed to the post-shock recovery bounce-back. Additionally, the presence of large firms and industrial clusters within the region positively contributed to economic resilience. The specialization and the proportion of manufacturing industries showed negative effects, suggesting that regions overly reliant on manufacturing-centered specialization might be vulnerable to external shocks. Furthermore, excessive capital outflows for market expansion were found to have a detrimental impact on regional economic recovery.

Assessing the Economic Impact of Covid-19 through a Counterfactual Analysis

  • Hongjai Rhee
    • East Asian Economic Review
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    • v.28 no.1
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    • pp.69-94
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    • 2024
  • The Covid-19 pandemic has caused unprecedented disruptions across industries worldwide. This paper aims to analyze the economic impact of the pandemic on the sales performance of basic commercial areas in Seoul, Korea. Using a regression analysis with credit card transaction data, the study underscores the critical nature of determining the reference point for comparison. Firstly, in comparison to the revenue in the same quarter before the onset of the pandemic, a significant decrease in revenue was observed across most categories during the pandemic periods. Secondly, when compared to the counterfactual revenue in the same period, extrapolated by an exponential smoothing forecasting, the overall revenue decrease during the periods was less pronounced, except in a few categories. Interestingly, certain categories appeared to witness marginal increases in sales after the pandemic. The paper discusses some policy implications of these findings.

A Study on Application Methods to Economic Impact Analysis on R&D of Geoscience and Mineral Resources in Input-Output-Outcome Perspective (연구성과(outcome) 관점에서 지질지원 분야 연구개발의 경제적 파급효과 분석 방법론 적용)

  • Ahn, Eun-Young;Kim, Seong-Yong
    • Economic and Environmental Geology
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    • v.39 no.6 s.181
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    • pp.787-801
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    • 2006
  • Focused in the characteristic of R&D on Geoscience and Mineral Resources as basic research area, we survey on methods of public works' economic impact analysis including cost-benefit analysis and resent technology evaluation methods and suggest apply-methods to conduct economic impact analysis on R&D of geoscience and mineral resources. To conduct economic impact analysis on the basic research area, it need to identification research's out-come not just output. In this perspective, we propose a method, Input-Output-Outcome Roadmapping to identify the outcome of R&D and show the relation of input, output, and outcome of R&D. Furthermore, noticing the different effects of R&D from public works, we directly evaluate the use-value of the academic theory or geological maps through Contingent Valuation Method(CVM) and others developed as evaluation methods on environmental goods. In indirect application methods, it can evaluate the partial of the pubic works' benefit with assuming R&D factors if R&D is a part of public works. If not, we evaluate the R&D's value as reductions of costs or additions of benefit with finding related public works.