• Title/Summary/Keyword: 투입-산출 행렬

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Industrial Clusters and Their Boundaries: A Case Study for Plants in the Cincinnati metropolitan Area (씬씨내티 대도시지역의 산업군집과 경계설정)

  • Lee, Bo-Young
    • Journal of the Korean association of regional geographers
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    • v.6 no.3
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    • pp.169-184
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    • 2000
  • Industrial clusters and their boundaries are identified by factor and hot spot analyses for the greater Cincinnati metropolitan area in USA. While traditional input-output approach identified aspatial industrial clusters, this study combines traditional approach with GIS techniques to identify their boundaries. Combining the results of input-output industrial clusters with the leading industries groups, we have identified five leading industry clusters. They are food (20), chemicals (28), metal manufacturing (32), metal products (33), and machinery (35). We also used hot spot analysis to visualize each industry cluster on the research area by using Arcview software. Determining the degree to which such industries are associated spatially and their spatial delimitation may be an additional approach to measuring the efficiency of the spatial organization of an economy. It is hoped that the industrial clusters and industrial spatial clusters approaches may also proved the basis for the development of new models of the spatial arrangement of industry at a level more aggregated than that of the single plant or firm.

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Analysis of Technology Convergence Structure Using technology Input-output Analysis: Case of Convergence R&D Development Project for Small and Medium Businesses (기술연관분석을 활용한 기술융합구조 분석: 중소기업 융·복합기술개발사업 사례)

  • Lee, Kwang-Min;Kim, Da-Woon;Hong, Jae-Bum
    • Journal of Technology Innovation
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    • v.22 no.3
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    • pp.1-35
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    • 2014
  • This study analyzed convergence status among input technologies used in technology development with Technology I-O analysis. It was another version of industry input-output analysis which is used in technology planning. This case is an analysis of association between technology an product. The subjects of analysis were 401 tasks that applied to '2012 Convergence Technology Development Project for Small and Medium Businesses' promoted by Korea Technology & Information Promotion Agency for Small and Medium Enterprises. The process of analysis is as followed. First step, we made a matrix table as an input of technology input-output analysis. Input was defined by technology and output was defined by the product. Input technology was defined in a 3-digit code under National Science Technology Classification and output products were defined in a 5-digit under National Standard Industry Code. Second, the Spillover ratio among technologies were calculated and was used to make a picture of technology linkage. As a result of analysis, technology spillover of embedded S/W was the highest in IT convergence, mold product in ET convergence, and functional cosmetics development technology in BT convergence. In general, IT convergence had many element technologies with high technology spillover, and ET had a small number of element technologies with high technology spillover. Therefore, investment effect of element technology is expected to be large if investment on element technologies with high technology spillover is important for vitalizing convergence.

The evaluation of aid effectiveness using the input-output analysis: the case of Vietnam (산업연관분석을 활용한 원조의 국가단위 효과 평가 - 한국 유상원조의 베트남 지원효과를 중심으로 -)

  • Park, Bokyeong;An, Jiyoun
    • International Area Studies Review
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    • v.22 no.2
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    • pp.211-218
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    • 2018
  • The evaluation of aid effectiveness at the national level has mostly focused on qualitative evaluation. This paper attempts to quantitatively evaluate EDCF 's support for Vietnam in 1995 ~ 2016 on the economy. First, we compare the strengths and weaknesses of various methodologies that can be used for quantitative assessment: panel analysis based on growth theory, input-output analysis, social account matrix analysis, CGE model, DSGE model, and time series analysis. Using the input-output analysis, we estimate that total output and value added have been generated about $5.9 billion and $1.7 billion in Vietnam, respectively. The increase in income per capita from the support was estimated to have contributed to a 0.21%p reduction in the poverty rate in Vietnam.