• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.619-619
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• 2017

현대사회의 제품생산과 기업활동에서 소프트웨어의 중요성과 그 가치가 날로 높아져 가는 가운데 소프트웨어 기술혁신은 과거 소프트웨어 산업 영역에 국한되었던 비교적 작은 구조에서 이제는 다양한 산업 영역에서 다발적으로 일어나는 보다 넓은 구조로 변모하고 있다. 이 연구에서는 한국 출원인이 포함된 약 270만 건의 특허 메타데이터와 기업정보 데이터를 활용한 패널데이터를 구축하여 한국 산업계 전반에 걸쳐 일어나고 있는 소프트웨어 기술혁신의 구조 변동 현상을 밝혀내고, 이를 토대로 정부의 소프트웨어 산업 정책에 관한 함의를 도출하고자 한다. 이 연구는 다음의 네 부분으로 구성이 된다. 첫째, 최근 여러 분야에서 일어나고 있는 소프트웨어와 타 산업 간의 융합 현상과 이에 대한 이론적 논의를 전개한다. 둘째, 연구에 활용 할 데이터와 실증분석 방법론에 관하여 논의한다. 셋째, 패널분석을 기초로 한 실증분석을 수행하고, 그 결과를 제시한다. 넷째, 한국정부의 소프트웨어 산업 정책을 살펴보고, 이를 바탕으로 실증분석 결과가 지니는 함의에 관하여 논의한다.

• Korea Trade Review
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• v.41 no.2
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• pp.185-202
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• 2016

Interests in renewable energy have been increasing with low-carbon policy and concerns about radioactivity. And solar energy is receiving attention as the most realistic energy in the industry. Demand for solar energy was started in Germany and European countries, and further expanding to other countries. And Korea became one of the high technology level countries in that industry. So, systematic analysis is needed for trading fact and overseas expansion of Korea's photovoltaic energy together with increased demand in the world. In this paper, we analyzed panel data for 25 years, from 1990 to 2014 from 11 countries that have track record with Korea's PV product. It is conducted based on Gravity model and matched with general report for Korean PV industry. But it shows different result for other factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.491-497
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• 2018

This study analyzes the relationship between R&D input and performance using panel data from the defense industry. A research model is established based on the R&D logic model, and the study sample consists of a strongly balanced panel data (n=351) empirically analyzed using panel linear regression. Results identified that defense improvement expenditure has a positive influence on the R&D input, and R&D input positively affected patents using a 5-year time lag. In addition, R&D input positively impacts economic performance, including sales and profit. Hence, the major finding includes R&D inputs have statistically significant effects on economic outcome and the R&D logic model featuring a time-lag.

• International Area Studies Review
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• v.15 no.3
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• pp.451-470
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• 2011

Many countries are committed to absorb foreign direct investments (FDIs). One of the strong motivations is the improvement of innovative capability through the technology spillover of FDI firms. The effect of FDI technology spillover has been widely researched not only on country level, but industry level. With the evolution of globalization and global sourcing of multinational companies, it is necessary to reexamine the relationship between innovation ability of an industry and spillover effect of FDI. This paper investigates the technology spillover effect of FDI on the innovation of Chinese firms. We gathered the data of 34 industries form various sources of Chinese government and the time span is 2001-2008. By using industry level panel data, we set panel data analysis model. In the model, there are two explanatory variables: backward and foreward integration. The analysis result shows that technology spillover of FDI has significant effect on the innovation of foreward integration FDI.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.135-142
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• 2017

The importance of trade cooperation with foreign countries is becoming higher in order to utilize the competitiveness of its own country's industries. In Korea, the government has made various efforts to respond to the expansion of foreign trade cooperation. As time goes by, it is needed to redefine and reestablish the functions of industrial polices in order to improve the effectiveness and efficiency of foreign trade cooperation. We focus on the industrial and trade policies related to FTA. Mainly we do research the impact (before and after FTA) of industry, trade policies, and firms' management activities on the export-oriented firms. For this end we conduct a survey on the firms' evaluation of the trade related policies and analyze with the panel data regression model. According to the results, in order to enhance the utilization of FTA, the connection with export support program, the training of expert HRs, and the prohibition of double regulation are the main influential policies.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.388-395
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• 2015

The purpose of this study is to estimate change of productivity of information and technology industry and to induce policy implications. The method of analysis is panel data analysis based on 11 Korean information and technology industry cross-section and 8 years time series. The result of estimate shows that producitivity of labor and capital and information and technology industry is positive, total factor productivity of information and technology industry is also positive. but total factor productivity decreased after 2008. In addition, the productivity of labor was increased, but the productivity of capital input was decreased. It means that the productivity of Korean information and technology industry was not improved despite increasing of labor and capital investment.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.513-537
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• 2010

According to the "FDI-as-market-discipline" hypothesis, inward FDI acts as a mechanism of change in market structure affecting innovative activities of domestic firms. We used panel KIS data for testing this hypothesis. Binary probit estimation shows that, in contrast to the German case of Bertschek (1995), FDI is insignificant in Korean case for explaining product innovation. 1his result maybe comes from the fact that the industries in Korea are more monopolistic or oligopolistic than those of Germany. Using panel data, we tried random parameter estimation using matrix weighted average of GLS and OLS. The result shows different estimates from cross-section outcome and panel estimation with parameter homogeneity, so we can infer large parameter heterogeneity across firms. But, interpretation for FDI variable is similar across panel and cross-section estimation.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.191-204
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• 2024

This study analyzes the effects of manufacturing firms' R&D investment on sales according to global political economic uncertainty. The variables in this research include the firm's R&D investment, sales, which serves as an indicator of the firm's performance, and the Global Economic Policy Uncertainty (GEPU) index, which reflects situations of global political economic uncertainty. Panel data analysis is conducted by using a total of 96 quarters of data spanning 24 years from 2000 to 2023 based on manufacturing firms in the Wharton Research Data Services' Compustat Database. We study the impact of firm's R&D investment on sales by considering the Global Economic Policy Uncertainty index, which was relatively underestimated in previous research, as moderating variable, and present a new direction for research by analyzing the time lag effect. We suggest effective R&D investment strategy for firms.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.642-643
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• 2011

스마트그리드 구현에 실시간요금제 적용이 핵심으로 등장하고 있다. 실시간요금제 적용 시 전력수요의 변동을 시뮬레이션하기 위하여 2005년부터 2009년의 전자식전력량계 계량데이터를 이용하여 전력 수요의 가격탄력성을 구하였다. 가격탄력성을 산출하기 위하여 시계열 분석과 횡단면 분석을 동시에 수행할 수 있는 패널모형 분석을 적용하였으며, 국내 전기요금에 대하여 계약종별, 산업분류별 가격탄력성을 실시간 요금제에 대비하여 1시간 단위로 구하였다. 국내 전력수요의 가격탄력성은 계약종별 및 산업분류별로 대부분의 경우 -0.1 이내로 산출되어 가격탄력성이 매우 낮게 나타났다. 산업분류별로 가격탄력성을 산출함으로써 통계적 유의수준이 높게 나타났다.

• Management & Information Systems Review
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• v.37 no.2
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• pp.209-233
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• 2018

This study investigates the question of how political and economic factors may affect the export of renewable energy technologies. The relationships are tested using panel data for 19 OECD member countries over the period 1992-2012. Before establishing the empirical model, the current study checks the characteristics of the panel data, which includes various panel framework analyses, such as tests for the presence of normality, structural breaks, first-order autocorrelation, heteroscedasticity, cross-sectional dependence, panel unit-root. From the panel framework analyses, a dynamic panel model is established to test the relationship between the variables examined in this study. In order to reduce the bias of the estimation of the dynamic panel model and obtain efficient parameters, this study uses the bias-corrected least square dummy variable(LSDVC) estimator to estimate the empirical model. The results of this study show that governmental policies expressed as coercive pressure and market size positively affect the export growth of renewable energy technologies. However, public pressure and traditional energy industry have no significant effects on export performance. Policy implications are presented based on the results of this study.