• 정보화정책
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• 제26권1호
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• pp.83-105
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• 2019

본 연구는 국내 제로레이팅 행위의 사후규제 정책 마련을 지원하기 위해 제로레이팅 규제 관련한 국내 외 법령 및 심결을 비교법적 접근법으로 분석하였다. 전 세계적으로 확산되고 있는 제로레이팅 행위에 대하여 대부분의 국가는 사후규제 접근법을 채택하고 있지만, 모바일 ISP의 제로레이팅 행위를 시장 내 허용할지 여부에 대한 판단 과정에서 고려해야 하는 통일된 기준이 없는 상황이다. 그러나 최근 몇 년 사이 각국은 관련 법령 제 개정, 심결 양산을 통해 제로레이팅에 대한 정책 투명성을 높여가고 있다. 비교분석 결과 각국 규제기관은 모바일 생태계 내 제로레이팅 행위로 인한 이용자이익 저해 여부를 판단하고자 이용자 선택권 제한 및 ISP의 비차별 의무 준수 여부를, 공정경쟁 훼손 여부를 판단하고자 ISP-CP의 시장지위, ISP의 수직적 결합을 이용한 이윤압착 행위 여부를 조사하여 판단하고 있었다. 본 연구는 비교분석 결과를 바탕으로 국내 입법 현황 하에서 바람직한 제로레이팅 행위 규제 방향에 대한 제언을 하고 있다.

• 기술혁신학회지
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• 제9권4호
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• pp.812-841
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• 2006

본 연구는 중소벤처평가지표의 개선을 위해 t-test, 요인분석, 로짓회귀분석을 이용하여 평가지표의 판별력을 분석하였다. 연구결과를 요약하면 하면 다음과 같다. 첫째, 중소벤처평가지표의 분류정확도가 93%를 보이고 있어 기존 재무비율을 이용한 선행연구의 예측력과 비슷한 것으로 나타났다. 둘째, 통상적으로 중소벤처지원기관의 평가지표는 기술성지표, 사업성지표, 시장성지표로 구성되어 있는데 본 연구의 요인분석 결과 6개의 평가지표로 구성되는 것이 바람직함을 보이고 있다. 셋째, 중소벤처성과에 영향을 미치는 요인들로, 기존 연구에서도 주장된 기업가정신(entrepreneurship)을 나타내는 경영자기술역량, 경영자경영역량 그리고 사업성인 것으로 나타났다. 그리고 이들의 비중(영향정도)는 비슷한 것으로 나타났다.

• Spatial Information Research
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• 제20권1호
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• pp.71-80
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• 2012

탄소포인트제도는 가정, 상업 시설의 전기, 가스, 수도 등 에너지 사용 절감량에 대한 인센티브를 제공하는 시민참여형 기후변화대응 프로그램이다. 현재, 기존 국가정책 및 연구는 사업장 위주의 온실가스 인벤토리 구축에 한정되어있고, 가정부문에 대한 탄소저감정책 시행효과에 대한 연구는 거의 이루어지지 않고 있다. 이에 본 연구에서는 탄소저감정책 중 탄소포인트제도를 중심으로 가정부문의 에너지 사용에 따른 탄소배출 저감에 관한 실증 분석을 목적으로 하였다. 우선, 성북구를 대상으로 가정부문의 전기, 가스 사용량 자료를 이용하여 탄소배출량을 산출하고, IPA 분석을 통해 행정동단위의 온실가스 배출변화의 공간패턴을 가시화하고 2007년부터 2009년까지 시계열 공간분석을 실시하였다. 또한 대응표본 t검정을 이용하여 사전-사후분석을 통해 탄소포인트제도의 효과 분석을 실시하였다. 특히, 공간통계기법과 핫스팟을 이용한 점사상의 국지적 분석을 통해 에너지 사용에 따른 탄소배출량의 공간적 분포 유형을 파악할 수 있었으며 실제 탄소배출저감 결과를 도출할 수 있었다. 향후 본 연구 결과는 지방자치단체 에너지 진단 등 온실가스 감축사업의 효과 평가와 녹색생활 개선 수립을 위한 다양한 영역에 활용될 것으로 기대한다.

• 기술혁신연구
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• 제5권2호
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• pp.48-79
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• 1997

This study aims to evaluate and identify the patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexse were used. It was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five types was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1997년도 제12회 동계학술발표회 논문집
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• pp.197-228
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• 1997

This study aims to evaluate and identify the Patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexes were used. it was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five typers was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.

• 한국벤처창업학회:학술대회논문집
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• 한국벤처창업학회 2006년도 추계학술발표회
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• pp.61-85
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• 2006

The Purpose of this study is to prove empirically the relationship between ventures' technology valuation and performance, while considering the uniqueness of Korean firms. We use technology valuation index, marketability valuation index, business valuation index as ex-ante independent variables, use firm's performance(sales, asset, operating income ratio, net income ratio etc) as ex-post dependent variables. Parametric analysis such as Paired T-test, ANOVA are applied in this paper. The results of Empirical analysis is summarized as follows. Firstly, operating income ratio and net income ratio are different in portfolios classified by technology valuation index. Secondly, the growth rate of operating income is different in portfolios classified by technology valuation index. Finally, this study has shown that technology valuation index has possibility which it use the predictive variables of ventures' performances.

• 지식경영연구
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• 제4권1호
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• pp.21-33
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• 2003

The Purpose of this study is to prove empirically the relationship between technology valuation and performance in Ventures, while considering the uniqueness of Korean firms. We use technology score, marketability score, business attractiveness score as ex-ante independent variables, use firm's performance(sales, asset, operating income ratio, net income ratio etc) as ex-post dependent variables. Parametric analysis such as Paired T-test, ANOVA are applied in this paper. The results of Empirical analysis is summarized as follows. Firstly, operating income ratio and net income ratio are different in portfolios classified by technology score. Secondly, the growth rate of operating income is different in portfolios classified by technology score. Finally, this study has shown that technology score has possibility which it use the predictive variables of firm performances.

• 한국산학기술학회논문지
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• 제21권1호
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• pp.725-731
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• 2020

이 연구는 한·미 FTA 발효 이후 오렌지가 수입되어 집중적으로 판매되는 시기인 1월부터 5월까지 초점을 맞춰 오렌지 수입량 증가가 국내산 과일에 미치는 영향을 분석하고자 하였다. 본 연구에서는 미국산 오렌지와 경합 되는 국내산 과일로는 감귤류만으로 한정하였고, 그중 미국산 오렌지와 소비 시기가 일치하는 한라봉을 분석대상으로 선정하였다. 이를 위해 동태 축차적 시뮬레이션 모형을 구축하여 한·미 FTA 사후 영향평가 및 한라봉 시장의 중장기 전망을 실시하였다. 또한, 한라봉 시장에 미치는 주요 정책 시뮬레이션을 수행하여 각 시나리오별 파급영향을 계측하였다. 사후 영향평가결과, 한라봉은 주 출하기인 12월부터 2월 사이에는 오렌지 계절관세의 영향은 없으나 TRQ 물량의 영향으로 2012년~2017년 실질 조수입이 연평균 21.9억 원 감소한 것으로 나타났고, 6년 감소 누계액은 131.5억 원 수준인 것으로 나타났다. 주요 정책 시뮬레이션 분석결과, 미국의 오렌지 작황에 따른 수입단가 변화 및 한라봉 수출량 증대는 한라봉 시장의 규모를 증대시키고 이에 따라 소득증대 효과를 가져오는 것으로 나타났다.

• 산경연구논집
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• 제11권3호
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• pp.39-50
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• 2020

Purpose: Agriculture, which is heavily influenced by climate conditions, is one of the industries most affected by climate change. In this respect, various studies on the impact of climate change on the agricultural market have been conducted. Since climate change is a long-term phenomenon for more than a decade, long-term projections of agricultural prices as well as climate variables are needed to properly analyze the impact of climate change on the agricultural market. However, these long-term price projections are often major constraints on studies of climate changes. The purpose of this study is to analyze the impacts of climate changes on the Korean onion market using ex-post analysis approach in order to avoid the difficulties of long-term price projections. Research design, data and methodology: This study develops an annual dynamic partial equilibrium model of Korean onion market. The behavioral equations of the model were estimated by OLS based on the annual data from 1988 to 2018. The modelling system is first simulated to have actual onion market conditions from 2014 to 2018 as a baseline and then compared it to the scenario assuming the climatic conditions under RCP8.5 over the same period. Scenario analyses were simulated by both comparative static and dynamic approach to evaluate the differences between the two approaches. Results: According to the empirical results, if the climate conditions under RCP8.5 were applied from 2014 to 2018, the yield of onion would increase by about 4%, and the price of onion would decrease from 3.7% to 17.4%. In addition, the average price fluctuation rate over the five years under RCP8.5 climate conditions is 56%, which is more volatile than 46% under actual climate conditions. Empirical results also show that the price decreases have been alleviated in dynamic model compared with comparative static model. Conclusions: Empirical results show that climate change is expected to increase onion yields and reduce onion prices. Therefore, the appropriate countermeasures against climate change in Korean onion market should be found in the stabilization of supply and demand for price stabilization rather than technical aspects such as the development of new varieties to increase productivity.

• 산경연구논집
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• 제9권10호
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• pp.73-82
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• 2018

Purpose - Unstable vegetable prices have been one of the major concerns in Korean agricultural and food marketing system. The Korean government has implemented a number of policy instruments, including government purchasing programs in order to alleviate fluctuations in vegetable prices. The economic impact of policy instruments has been assessed based on the average monthly price change rate before and after the implementation of the policy. However, this approach failed to provide a net impact of policy measures on price stabilization in the vegetable markets, as policy impacts could not be successfully distinguished from other effects on price changes in the vegetable market. The purpose of this study is to evaluate the net impact of the government purchasing program on the price volatility of dried red pepper which is considered one of the major vegetables in Korea. Research design, data, and methodology - This study develops a monthly dynamic partial equilibrium model of Korean dried red pepper market. Behavioral equations in the model were estimated by OLS and synthetic method based on the annual and monthly time series data from 1993 to 2015. The model is first simulated to yield actual dried red pepper market conditions in 2015 as a baseline and then compared it to the scenario assuming that there were no government purchases of dried red pepper in 2015. Results - According to the ex-post scenario analysis using the developed model, without the government procurements in 2015, the average monthly price change rate and the value of coefficient of variation of dried red pepper in 2015 would be respectably 7.9 percent and 0.10. It is relatively higher than the actual average monthly price change rate and the value of coefficient of variation of dried red pepper in 2015 which were respectively 1.7 percent and 0.06. Conclusions - The ex-post simulation results in this study shows that if there were no government purchases of dried red pepper in 2015, the dried red pepper market would have had much higher volatile price movements. The results of this study would provide useful information for future price stabilization policy of vegetable markets in Korea.