기업의 환경성과 개선 유도 방안: 녹색물류사업을 중심으로

학위논문 (석사)-- 서울대학교 환경대학원 : 환경대학원 환경계획학과 환경관리 전공, 2016. 2. 홍종호.환경문제에 대한 관심이 집중되면서 기업의 수송활동에서의 오염저감에 대한 압박이 거세지고 있다. 수송은 기업활동의 시점에서 종점까지, 즉 전체적인 공급사슬망에 많은 영향을 미친다. 지속가능공급사슬관리 (sustainable supply chain management)는 기업활동의 전 과정에 해당하는 공급사슬망 관리를 통해 오염배출을 감소시키고자 하는 관점을 의미한다. 이는 기업의 수송부문에 대한 녹색물류활동을 증가시키면서 수송을 담당하는 물류기업들이 환경문제에 대한 중심적인 역할을 할 수 있는 잠재력을 가짐을 의미한다. 본 연구는 물류부문에서의 녹색환경활동을 촉진하는 근본적인 개념과 요인을 가려내기 위해 로짓모형을 활용하여 녹색물류사업에 참여하는 기업과 비참여기업 간에 유의미한 요인들을 살펴본다. 이러한 요인들에 대한 물류기업들의 현재의 녹색물류활동과 필요성에 대한 관계를 알아보고 향후 녹색물류에 대한 정책방향을 시사점으로 제시하고자 한다.Pressures on corporations to reduce the pollution impacts of their transport functions, which extends from the beginning to the end of the supply chain, is mounting. Sustainable supply chain management embodies this endeavor and is arising as a key measure to control the impacts of pollution, with logistics service providers having the potential to play a pivotal role in these efforts, through their active role in bringing about green logistics. This research identifies those concepts and factors that underlie the shift to green logistics and determines the extent to which Korean logistics firms are perceiving the needs toward greener logistics. In order to do this, logistic regression is employed to identify statistically significant factors contributing to participation and non-participation in the voluntary government-funded Korean Green Logistics Project.I. Introduction 1 1. Research Background 1 2. Research Purpose and Question 3 3. Research Scope and Methodology 5 II. Conceptual Framework Development 7 1. Sustainability of the Supply Chain and Green Logistics 7 1.1 Value-adding role of the logistics service provider in sustainable supply chain management 7 1.2 Assessing the uptake of green logistics by logistics service providers 9 1.3 Converging to standardized indicators for environmental and economic performance 10 1.4 Environmental certification as motivating the transition to green logistics 13 2. Need for Green Logistics in Anticipation of Strengthening International Climate Change Mitigation Efforts 14 3. Greening Korean Road Transport Logistics 16 3.1 Regulatory efforts to green logistics 16 3.2 Corporate efforts to green logistics 19 3.3 The Green Logistics Project 20 4. Derivation of Categories for Hypothesis Testing 23 III. Methodology 25 1. Hypothesis Development and Assumptions 25 2. Survey Questionnaire 27 3. Binary Logistic Regression 28 IV. Data Collection and Results 31 1. Data 31 1.1 Sampling 31 1.2 Data handling and labeling 32 1.3 Summary statistics 32 2. Results 35 2.1 Model fitting and interpretation 35 2.2 Probability Estimations 38 2.3 Additional note on small sample bias 40 2.3.1 Small sample bias in MLE 40 2.3.2 Firths penalized maximum likelihood estimation to overcome small sample bias 41 2.3.3 Comparison of coefficients 42 V. Conclusion 44 References 46 Abstract 54Maste