• Title/Summary/Keyword: employment inducement effects

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A Study on the Ripple Effect of Physical Distribution Service Industry on National Economy (물류서비스 산업의 국민경제적 파급효과 분석)

  • Jeong, Boon-Do;Hong, Geum-Woo
    • Journal of Korea Port Economic Association
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    • v.24 no.2
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    • pp.193-208
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    • 2008
  • This study aims to analyse the ripple effect of Physical distribution service industry on national economy using input-output tables and present the results as data for political plans in this field. For the analysis, it uses input-output tables developed and published by Sank of Korea in 1998, 2000, and 2003. To sum up the results, production inducement effects are 1757 for railroad transport, 1688 for road transport and 1617 for loading. Import inducement effects of assistant services, loading, storage, warehouse and other transport-related services are low while the effects of water and air transport are high as follows: 0.679 and 0.558 respectively. Then, added-value inducement effects are presented as follows: 0.841 for railway transport, 0.828 for road transport, 0.962 for transport assistant service, 0.939 for loading, 0.938 for storage and warehouse, and 0.942 for other transport-related services. Sensitivity dispersion index of road transport is high while that of water transport, storage and warehouse is low. And influence coefficient of railway and road transport is high while that of water and air transport is low. In respect to the employment structure of Physical distribution service industry, 744,000 are employed for road transport industry, which is the largest number, 19,000 for air transport and 20,000 for assistant services, which is the least number.

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Analysis of Regional Economic Ripple Effects of Port Logistics Industry in Gwangyang City - Focusing on Exogenous Specified Input-Output Model - (광양시 항만물류산업의 지역경제 파급효과 분석 - 외생화 산업연관모형을 중심으로 -)

  • Kim, Min-Seong;Na, Ju-Mong
    • Journal of Korea Port Economic Association
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    • v.39 no.2
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    • pp.77-95
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    • 2023
  • The regional infrastructure industries of Gwangyang City, the subject of this study, are Gwangyang Port and Gwangyang Steel Mill. Therefore, it is necessary to analyze the regional economic ripple effects of the port logistics industry in Gwangyang City. In this study, a multi-stage approach using the RW and the LQ methodology using the national input-output tables in 2015 and 2019 is used to prepare the regional interindustry analysis chart in Gwangyang City, and an exogenous demand induction model that reclassified the port logistics industry was applied. Through this, the purpose of this study was to provide policy implications by figuring out the regional economic ripple effects of the port logistics industry quantitatively in Gwangyang City. As a result of the analysis, the industries with high production inducement effect and forward/backward linkage effect of the port logistics industry in Gwangyang City were analyzed as manufacturing, transportation, land and air logistics sectors. And the industries in which the added value inducement effect and the employment inducement effect were analyzed as an industry related to the service industry. Therefore, it is necessary to prepare support measures to foster the port logistics industry as a way to promote these industries and revitalize the local economy of Gwangyang City. To this end, it is desirable to improve policies and systems for the vitalization of the Gwangyang port maritime cluster and provide various policy support for the port logistics industry in Gwangyang City. This study is meaningful in suggesting policy implications for the regional economy of Gwangyang City based on the results of exogenous analysis of the port logistics industry in small and medium-sized cities. However, It seems that further studies related to this will be needed in the future.

The Analysis on Economic Ripple Effect of the Fishing Village New Deal 300 Project (어촌뉴딜300 사업의 경제적 파급효과 분석)

  • Lee, Seo-Gu;Kim, Jung-Tae
    • The Journal of Fisheries Business Administration
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    • v.50 no.3
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    • pp.73-86
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    • 2019
  • The purpose of this study is to provide logical and policy justification for the feasibility and sustainability of the project through analysis of economic ripple effects of the fishing village new deal 300 project. To do this, we applied the industry-related analysis, which is mainly used to analyze the economic ripple effects, to the fishing village new deal 300 project. The industry association analysis classifies the detailed project of the preliminary plan for the selection of the business into the software business such as the hardware business and the capacity enhancement in the construction field and analyzes the economic ripple effect through the inter-industry association. As a result, it is expected that the fishing village new deal 300 project will have a positive economic impact. When the total investment of 3 trillion won is invested in the project, it is estimated that the production inducement effect and the value added effect are 5,545.3 billion won and 2,102.7 billion won, respectively. In addition, 62,005 get job inducements, where 10,952 employment inducements were associated with job creation. The analysis of the above impacts seems to have secured the logical justification for the implementation of the fishing village new deal 300 project.

An Analysis for the Economic Impact of Forest Road Investment (임도시설 투자의 경제적 파급효과 분석)

  • Lee, Seung-Jung;Jung, Byung-Heon;Kim, Ki-Dong;Jeon, Hyon-Sun;Jo, Min-Woo
    • Journal of Korean Society of Forest Science
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    • v.106 no.2
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    • pp.219-229
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    • 2017
  • Forest road is an essential infrastructure for forest management such as the composition and management of forest resources, timber and forest byproduct production & transportation. It has recently been utilized forest recreation and forest sports as well as also forest pest control, forest fire prevention and evolution. When you build a forest road, the economic function in the forest is activated, so that it can result in the ripple effect of induced employment, value-added creation and production inducement. The purpose of this study is to analyze the impact caused by forest road construction occurring as the overall economy. For analysis it was applied to inter industry analysis method that is a method for analyzing the quantitative cross-correlation. The data were used in the Input-Output Tables In 2014, the Bank of Korea. When you build a forest road, economic effect due to the construction of the forest road is generated and economic effects are also generated due to the increase in the production of forest products after the construction of the forest road. Therefore, we will analyze the economic impact of the two effects. The estimated economic value of forest products, which is the economic effect of forest product cultivation, was calculated through some assumptions and the economic ripple effect was analyzed. The forest road construction sector is defined as land clearing and reclamation, and irrigation project construction and the forestry forest products sector is defined as the sum of raw timber, edible forest products and misc. forest products. In total, 32 sectors were classified, and except for the two sectors defined as forest road construction and forestry forest products, the remaining sectors were integrated according to the classification system of 30 integrated classifications of the Bank of Korea. As a result, the production inducement coefficient for forest construction was analyzed to be 2.767 and the production inducement coefficient for forestry forest products was analyzed to be 1.565. This means that 2,767 times the production of forest road construction investment is induced in the whole industry and the production of 1.562 times the amount of forestry forest products is caused by the whole industry as the production of forestry forest products increases. The value added inducement coefficient for forest road construction was 0.977 and the value added inducement coefficient for forestry forest products was 0.985. Forest road are essential infrastructure for forestry development and should be continuously invested because they are essential elements of timber production and forest byproduct production with functions such as forest management, forest recreation, forest sports, and town connection.

Analysis of Regional Economic Ripple Effects of Constructing LNG Bunkering Infrastructure at Busan Port (부산항 LNG 벙커링 인프라 구축에 따른 지역경제 파급효과 분석)

  • Suyeon Yoo;Gookbin Kim;Heesung Mun;Geonwoo Bae;Dong Koo Kim
    • Environmental and Resource Economics Review
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    • v.33 no.3
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    • pp.291-314
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    • 2024
  • The International Maritime Organization (IMO) has strengthened environmental regulations, leading to an increase in demand for LNG-powered ships. To enhance the competitiveness of ports and promote the use of LNG-powered ships, establishing LNG bunkering infrastructure is necessary. However, no ports in Korea currently have such infrastructure. This study used the 2015 regional input-output table to examine the economic impact of establishing LNG bunkering infrastructure in Busan Port, the largest port in Korea. The estimated cost of the project in 2023 was KRW 21.09 billion. The average production, value-added, and employment inducement coefficients were 1.223, 0.372, and 7.58, respectively.

Estimating the Economic Effects of Smart Tourism Mobility in Seoul: Using RAS Method (RAS 기법을 활용한 서울 스마트관광 모빌리티의 경제적 파급효과 분석)

  • Hyunae Lee;Hyunji Kim;Namho Chung
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.131-152
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    • 2023
  • One of the key domains within a smart tourism city, smart mobility, encompasses advanced transportation means and services rooted in Information and Communication Technology (ICT). This includes shared bicycles, scooters, car-sharing services, smart transportation infrastructure, and more, aiming to surpass limitations of conventional transport and improve the movement of people and goods. It also serves tourists as an affordable and convenient mode of transport between attractions while also enhancing the overall travel experience. This study has defined 'smart tourism mobility' as a form of mobility grounded in ICT, exhibiting exceptional connectivity, serving public interest, and serving as a mode of transport for both residents and tourists in a smart tourism city. The research aimed to outline the scope of smart tourism mobility-related industries through expert Delphi surveys and estimate their economic effects within a smart tourism city. Specifically, this study updated 2015 input-output table and made 2020 regional input-output table of Seoul adopting RAS method and location quotient method. The results showed that the about 2.8 billion KRW investment of Seoul in smart tourism mobility may create more than 4.1 billion KRW in production inducement effect which is expected to create more than 1.6 billion KRW of income-inducing effect, 3.6 billion KRW of value-added-inducing effect, and 54 employment across all industries in Seoul in 2022.