摘要
工业固废污染由于量大、资源化比例低而成为固废污染的主要问题,解决固废污染问题的重点是做好工业固废的处理、处置与资源化。绿色金融支持方法可在绿色技术创新系统的全过程为技术创新提供支持,是创新系统中不可缺少的重要助力。利用倾向得分匹配(Propensity Score Matching, PSM)方法和双重差分(Differences-in-Differences, DID)模型,从作用机理、效果验证和提出改进三个方面对大宗工业固废资源化技术创新的绿色金融支持方法进行了理论与实证研究,以期对绿色金融在大宗工业固废资源化技术创新方面的应用和改进起到支持和促进作用。
Industrial solid waste pollution has become the main problem of solid waste pollution due to its large amount and low recycling proportion.The key to solve the problem of solid waste pollution is to do a good job in treatment, disposal and recycling of industrial solid waste.Green financial support method can provide support for technological innovation in the whole process of green technological innovation system and is an indispensable and important help in the innovation system.Using propensity score matching(PSM)method and the Differences-in-Differences(DID)model, green finance support method for technological innovation of solid waste recycling in bulk industry is studied theoretically and empirically from three aspects: mechanism of action, effect verification and improvement.It can support and promote the application and improvement of green finance in technological innovation of bulk industrial solid waste recycling.
作者
王炜
WANG Wei(College of Environmental Science and Engineering,Nankai University,Tianjin 300351,China)
出处
《有色金属（冶炼部分）》
CAS
北大核心
2022年第9期173-178,共6页
Nonferrous Metals（Extractive Metallurgy)
基金
国家重点研发计划项目(2018YFC1903604)
南开大学亚洲研究中心自主研究课题(AS1916)。
