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조소운 ( Xiao Yun Zhao ),최성관 ( Sung Goan Choi ) 한국경제통상학회 2012 경제연구 Vol.30 No.4
이 논문의 목적은 지역투입산출모형을 만들기 위해 사용되는 몇 가지 비조사법의 정확도를 분석하고 한국의 경우 최선의 입지계수가 무엇인가를 찾고자 하는 연구이다. 이러한 연구 목적을 달성하기 위해 전국투입산출표와 지역 고용데이터를 이용하여 레온티에프 역행렬을 유도하였다. 또한 ``추정한 승수``와 ``참 승수``간의 차이를 계산하기 위한 통계량으로 MAPE (mean absolute percentage error)를 사용하였다. 그 결과 (Flegg et al. Location Quotient)와 (Augmented Flegg et al. Location Quotient) 계수를 이용하는 것이 지역투입산출모형을 작성하는데 매우 유용한 방법으로 나타났다. 또한 이 연구의 분석결과는 대구와 경북에 대한 최적 입지계수가 (대구: δ= 0.5 경북: δ= 0.6)인 것으로 나타났다. 이러한 분석결과는 자료수집이 어려운 지역경제를 분석할 때 매우 유용한 분석방법이 될 것임을 보여준다. The aims of this paper are to test the performance of several prevalent non-survey techniques and find the best location quotient for Korea to establish the regional input-output model. For this purpose, the Leontief inverse matrices are deduced with the national input-output tables and the regional employment data. The results are compared with benchmark tables which are issued based on the survey. Statistically, MAPE (mean absolute percentage error) was computed to measure how far the estimated multipliers from the ``true`` ones. The (Flegg et al. Location Quotient) and (Augmented Flegg et al. Location Quotient) methods are demonstrated as the better versions for constructing regional input-output models in Korea. The results show that the best Location Quotients for Daegu and Gyeongbuk area are the with =0.5, and =0.6, respectively. This finding should be helpful for analyzing regional area when the data is difficult to collect.
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한국의 권역별 금융 역할 변화가 총요소생산성(TFP)에 미친 영향 - ‘5+2’ 경제권역을 중심으로 -
박추환,최성관,조소운 한일경상학회 2013 韓日經商論集 Vol.60 No.-
This study investigated what financial effect is making on regional economic growth after the IMF crisis through panel analysis. IMF crisis reduced the role of non-bank depository institution through restructuring of regional enterprises and financial institutions, so supposing that such decline of regional financial institutions had a negative effect on regional small manufacturing enterprises, its empirical proof was looked for through analysis. As a result, on the increase of regional manufacturing value added per capita, effect of non-bank depository institution variables proved to be much less than those of depository money bank, and it was verified that, especially after 2001 when IMF restructuring ended, the role of regional retail financial institution has been remarkably reduced.
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정민철,김한돈,김지민,최정민,장현승,조소운 한국건설관리학회 2022 한국건설관리학회 논문집 Vol.23 No.4
A plant factory is a facility that creates an artificial environment in a controlled space and produces plants systematically through automated facilities. However, automation in the cultivation process is insufficient compared to the internal environment control technology in plant factories. This causes the problem of an increase in operating costs due to the input of a large number of workers. Therefore, this study aims to evaluate economic feasibility by comparing before and after introducing automation in the cultivation process of plant factories. The target plant factory to be analyzed was selected, and the break-even point analysis method was used by comparing the cost required compared to the operating period. As a result, the break-even point was analyzed to be 3.4 years when automation was introduced into six processes for plant cultivation. Therefore, it can be judged that the introduction of automation is excellent in terms of economic feasibility when the target plant factory has been operated for more than 3.4 years. This study is expected to be used as basic data to analyze the economic feasibility of introducing automation in domestic and foreign plant factories.
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김송이(Song yi Kim),김한돈(Han Don Kim),최세은(Se Eun Choi),조소운(So un Jo),김서현(Seo Hyun Kim),김지민(Ji Min Kim) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
In a vertical smart farm, the amount of light is controlled by multiple artificial light, so the amount of heat generated by artificial light has a great influence on the indoor temperature. This study aims at Energy Analysis of Vertical Smart Farms based on the Insulation of the Envelope. The Cases were divided into four according to the type of wall, roof, and floor insulation of the building, and each case was divided into four temperatures. By simulating this with TRNSYS, the cooling load was calculated. In each case, the thickness increased as the insulation level decreased based on the Building energy efficiency rating(에너지절약설계기준). But regardless, as the insulation level decreased, the cooling load increased. There was a clear difference according to the insulation grade in summer than in winter. The lower the insulation grade, the greater the difference in cooling load in summer and winter. Based on this study, we propose appropriate insulation performance for smart farms with high internal heat generation.
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Sung-Goan Choi(최성관),Chuhwan Park(박추환),Xiaoyun Zhao(조소운) 한국경제통상학회 2015 경제연구 Vol.33 No.4
선도산업부문은 국가 혹은 지역경제 전반에 높은 전후방연쇄효과를 가지므로 이러한 선도산업 부문을 발굴하는 것은 경제정책 수립에서 매우 중요하다. 그리고 선도산업 부문에 대한 투자는 투자재원의 제약이 따르는 저개발국 혹은 개도국에 대해 한정된 자원 투자로 최선의 효과를 거두게 함으로써 경제성장을 극대화 시킬 수 있게 한다. 따라서 선도산업 부문을 식별하는 문제는 장기적인 경제구조 변화를 분석하고 경제발전 전략을 수 립하는데 매우 유용하다. 그러나 현실적으로는 이용 가능한 통계자료의 제약이 따르는 경우 투입산출모형을 이용한 지역 선도산업부문의 식별은 상당한 어려움이 수반된다. 따라서 이 연구에서는 실측자료가 희소하고 이용 가능한 통계자료의 제약이 따르는 지역의 경우에도 전후방연쇄효과 추정결과를 이용할 수 있는 방법은 무엇인지 비조사법을 중심으로 분석함으로써 현실적으로 가능한 최선의 방법을 제안하고자 한다. 이를 위해 전국투입산출표를 기본자료로 다양한 입지계수를 이용하여 지역투입산출모형을 작성하는 비조사법을 분석에 이용한다. 또한 지역선도산업 부문을 찾기 위해 제시한 비조사 방법의 적합도를 실측자료에 근거한 지역산업연관표의 영향력계수 등과 비교 분석한다. 이 연구의 분석 결과 일부 비조사법에 의한 지역투입산출모형의 경우 순위상관계수가 상대적으로 높게 나타나 몇 가지 한계점을 극복한다면 향후 지역 선도부문을 찾기 위한 방법으로서 유용할 수 있음을 보여준다. Since key sectors have high backward and forward linkages with the rest of the economy, investment in these sectors is expected to maximize economic growth, which is extensively meaningful in underdeveloped or developing countries with limited resources. Besides, identifying key sectors is considerably necessary and helpful for analyzing the long-term structural change and making the strategic policy of economic development, both at the national and regional level. However, the identification of the key sectors is somehow difficult to operate in practice at the regional level due to the absence of regional data at hand. In this study, the traditional backward and forward linkages are employed as indicators to identify the key sectors for sub-national regions where the input-output (IO) tables are unavailable. The regional IO tables are produced by adjusting national ones with several non-survey techniques. To capture the performance of non-survey techniques on recognizing key sectors, the estimated regional backward/forward linkages are computed and compared with the survey based benchmarks through the rank correlation coefficients. A large value of correlation coefficient indicates a high capability of the non-survey techniques on the identification of regional key sectors. At last, an empirical study is given with Korean 2005 national and regional IO tables.
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