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        한국 정보기술산업의 총요소생산성: 유가증권시장과 코스닥시장의 상장기업 비교분석

        한광호 ( Gwangho Han ),박종호 ( Jongho Park ) 한국생산성학회 2016 生産性論集 Vol.30 No.1

        This paper estimates total factor productivity (TFP) growth and decomposes its contributing factors into technical efficiency change, scale component and technical progress for the Korean IT industry. The data set is the unbalanced panel of 293 IT firms listed in the KOSPI and KOSDAQ market for the period of 1980-2011. To compare the two markets, we apply the group-specific stochastic frontier production model, allowing for different groups of firms to have different patterns of technical efficiency over time. The empirical results are as follows; (1) The time-varing technical inefficiency exists significantly in Korean IT industry and its time-varing patterns are different each other in KOSPI and KOSDAQ. (2) The improvement of technical efficiency is major contributing factor to the TFP growth in both markets, but it has slowed down continuously over the sample period. (3) The scale component is larger in KOSPI than KOSDAQ, but it has trivial influences on the TFP growth in both markets. (4) The rate of technical progress is higher in KOSDAQ than KOSPI. Especially in KOSDAQ market, technical progress is also crucial factor on TFP growth. (5) The growth rate of TFP is higher in KOSDAQ than KOSPI, but it has slowed down continuously in both markets. Especially, TFP growth rate deteriorate rapidly in the late of 1990s(asian economic crisis) and 2000s(dot-com bubble collapse and global financial crisis). KOSDAQ is more sensitive to external shock than KOSPI. (6) In the case of KOSDAQ market, the technical progress is also as important factor as technical efficiency changes. It means that the speed of catch-up to the frontier technology is fast in KOSDAQ than in KOSPI.

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      • KCI등재

        전원도시 이론에 기반한 지속가능한 도시재개발사업 구조에 관한 연구 - 미국 배터리 파크 시티와 허드슨 야드 개발사업을 중심으로 -

        한광호(Han, Gwangho),노승한(Ro, Seunghan) 한국주거환경학회 2022 주거환경(한국주거환경학회논문집) Vol.20 No.2

        Sustainability is an important topic from the perspective of cities as a common international task related to the survival of humanity. Especially, this topic is critical from an urban redevelopment perspective. The garden city model, suggest by Howard, provides the theoretical foundation needed for sustainable city construction. This paper proposes a sustainable urban redevelopment structure to analyzing the garden city model and cases evaluated as successful redevelopment projects: Battery Park City and Hudson Yards. Our proposal is as follows: First, urban redevelopment projects should adopt the land or superficies lease method. This method creates a positive feedback system that converts profits from the land into public resources and reinvests them to the city. Second, a public corporation should establish for each urban project. This corporation manages urban development projects as well as maintains the city after the project is complete. This method can alleviate the inefficiency and agency problems from a bloated organization that has excessive authority. Third, the government should reflect the above proposal to smart city construction, a new urban paradigm. The usability of the garden city model proves through the United States case. Therefore, adopt our proposal can strengthen city construction competitiveness.

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        우리나라 제조업의 지역별 산업집적효과와 총요소생산성

        한광호(Gwangho Han) 한국경제통상학회 2020 경제연구 Vol.38 No.1

        본 연구에서는, 지역별더미변수와 산업집적외부효과를 고려한 고정효과 확률변경생산함수를 추정하여, 우리나라 제조업의 총요소생산성을 분석하였다. 본 연구에서 사용한 자료는 시계열자료(1999~2016)와 횡단면자료(수도권, 충청권, 대경권, 경남권, 호남권)로 구성된 균형패널자료(balanced panel data)이며, 다음과 같이 추정결과를 요약할 수 있다. 첫째, 산업집적외부효과의 유형은 지역별로 상이하다. 집적경제효과는 지역생산량에 유의적인 영향을 주는 것으로 나타났지만, 집적경제변수들의 표본기간동안 변화율이 미미하여 총요소생산성에 주는 효과는 거의 없었다. 둘째, 한국 제조업에는 유의적으로 기술비효율성이 존재하며, 효율성의 개선은 총요소생산성에 긍정적인 효과를 주었지만 그 크기는 크지 않았다. 셋째, 규모보수는 불변내지는 체감하는 것으로 추정되어 규모요인이 총요소생산성에 주는 효과는 음(-)으로 나타났지만 그 크기는 크지 않았다. 넷째, 기술진보는 유의적으로 존재하였으며 그 유형은 비중립적이었다. 또한 총요소생산성의 구성요인 중 기술진보가 가장 중요한 요인이었다. 산업집적외부효과의 유형은 지역별로 다르게 나타날 수 있기 때문에, 지역 생산성 향상을 위해서는, 지역 특성에 맞는 산업을 찾아내어 이를 특화하고 그 지역의 특성에 맞게 경쟁 혹은 특화를 유도하는 방안을 모색하는 것이 필요하다. 또한 기술진보율이 높게(낮게) 추정된 지역에서는 기술효율성이 낮게(높게) 추정되었다. 이는 기술진보가 빠르게 진행되면 기술추격(catch-up)이 어려워져 기술효율성의 저하를 가져오게 되고, 이는 결국 기술진보로 인한 총요소생산성의 증가 정도를 제약할 수도 있음을 시사한다. 따라서 새로운 첨단기술의 개발도 물론 중요하지만 알려진 기술을 효율적으로 활용할 수 있도록 하는 노력 또한 필요하다. This study analyze the total factor productivity (TFP) growth of Korean regional manufacturing industry. The fixed-effects stochastic production function, considering the regional dummy and the industrial agglomeration economies variables, is applied to the balanced panel data set of 5 metropolitan areas(Capital, Chungcheong, Daegyeong, Gyeongnam and Honam Regions) over the period 1999-2016. The empirical results are as follows. First, the types of industrial agglomeration economies vary from region to region. Although the variables representing the industrial agglomeration economies have a significant effect on regional production, the change rate of those variables during the sample period is too small, so that industrial agglomeration economies have little effect on TFP. Second, the technical inefficiency exists significantly in Korean manufacturing, and the improvement in efficiency has a positive effect on TFP, but the size is not big. Third, the returns to scale is estimated to be constant or minor decreasing. So the scale efficiency change has minor negative or little effect on the TFP. Fourth, technical progress exists significantly and the type is non-neutral. And technical progress is the most influential factor among the components of TFP. Because the types of industrial agglomeration economies could vary from region to region, to improve the regional productivity, it will be necessary to find the industry and to drive competition or specialization according to regional characteristics. In addition, technical efficiency is estimated to be low (high) in the area where the technical progress is estimated high (low). This suggests that if the faster the technical progress is, the harder it is to catch-up, resulting in a decline in technical efficiency. It may eventually constrain the increase in TFP due to technical progress. Therefore, the development of new high-tech technologies will of course be important, but efforts will also be needed to make efficient use of the knowns.

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