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성향점수매칭(PSM)과 이중차분법(DID)을 활용한 환경기술개발사업의 기업지원 효과 분석
신광근,김정인 한국환경정책학회 2022 環境政策 Vol.30 No.2
In this study, a quantitative analysis was conducted by using propensity score matching and difference-in-differences method to measure how much the government's environmental research and development (R&D) support affects corporate management performance. Based on corporate financial statements from 2011 to 2020, the average treatment effect was analyzed for four years after companies received government support. The analysis results confirmed that, although a time lag exists, the number of employees, growth rate of R&D expenditure, sales growth rate, total asset growth rate, and return on asset of government-supported companies had increased compared to companies that were not receiving government support. These results are meaningful in that they confirmed the justification for supporting environmental R&D projects as a complement to market failure, and that they indicate that continuous government support, such as follow-up R&D, is necessary for environmental companies to implement technological innovation. 본 연구는 정부의 환경기술개발사업 지원이 연구과제 수행기업의 경영성과에 미치는 효과를 성향점수매칭(PSM)과 이중차분법(DID)을 활용하여 정량적으로 분석하였다. 2011년부터 2020년까지의 기업 재무제표 자료를 바탕으로 환경기술개발사업 지원에 따른 평균처치효과(ATT)를 사업 참여 4년 이후까지 분석하였다. 분석 결과, 시차의 차이는 있으나 환경기술개발사업 지원기업들은 그렇지 않은 기업들에 비해 종업원 수, 연구개발비증가율, 매출액증가율, 총자산증가율, 총자산순이익률이 증가하는 것으로 확인되었다. 이러한 분석 결과는 시장실패의 보완자로서 환경기술개발사업 지원의 당위성을 확인하였다는 점에서 의의가 있으며, 환경기업의 기술혁신을 위하여 후속 연구개발 등 지속적인 정부지원이 필요함을 나타낸다.
신광근(Kwangkeun Shin) 한국환경정책학회 2010 한국환경정책학회 학술대회논문집 Vol.2010 No.2
The purpose of this research is analyzing eco-friendly consumer characteristic and investigating consumer characteristic. which affects carbon footprint labelled product. by way of analyzing consumer purchasing behavior of carbon footprint labelled product. We conducted our research at Boo-cheon Yeo-wol mart of Home Plus. We had total 196 sample data for final analysis. which had been collected from November 14th to 22nd of 2009. We used SPSS for Windows 18.0 program in doing frequent analysis reliability analysis. t-test one-way ANOVA X2-test and binary logistic regression. Sales data of Home Plus Boo-cheon Yeo-wol mart had been used to deduce consumer characteristic. Consumers who buy carbon footprint labelled products are eco-friendly consumers. It is important to analyze their characteristic to meet their requirement to analyze characteristic of non-eco-friendly consumers and explore the possibility of changing them into environment-friendly consumers. Accordingly we classified consumers into eco-friendly consumers and non-eco-friendly consumers. dependent on their environment awareness and eco-friendly consuming behavior. Then we analyzed the awareness. buying intent and buying experience. in relation to demographic variables and carbon footprint labelling products. Global climate change is becoming more serious due to rapid increase of greenhouse gas. Carbon footprint labelling system in Korea had been enforced only recently. We believe this research is meaningful in exploring current status and suggesting advertising plan on carbon labeling system by exploring consumer buying behavior on carbon footprint labelled product.