Replication Data for: Financial Ecological Environment, Green Technical Progress and Shadow Price of CO2 --For the 26 provinces of China

The data listed in the table contain the data needed to calculate the financial ecological environment, measure green technical progress, and estimate the shadow price CO2, and are mainly used to explore the relationship between the financial ecological environment, green technical progress, and the shadow price of CO2.The entropy weight and super-efficiency DEA are used to evaluate the financial ecological environment efficiency of 26 provinces in China, green technology innovation capacity and energy efficiency are selected to gauge regional green technical progress, and a robust estimation model is constructed to measure the shadow price of CO2. The paper empirically investigates the intrinsic path of the financial ecological environment on the shadow price of CO2 with a fixed effects panel data model, with green technical progress as the mediating variable.本表所列数据涵盖了测算金融生态环境、衡量绿色技术进步以及估算二氧化碳影子价格所需的全部数据，主要用于探究金融生态环境、绿色技术进步与二氧化碳影子价格三者间的内在关联。本研究采用熵权法与超效率数据包络分析（Super-efficiency DEA），对中国26个省份的金融生态环境效率进行评价；选取绿色技术创新能力与能源效率作为区域绿色技术进步的衡量指标，并构建稳健估计模型以测算二氧化碳影子价格。本文以绿色技术进步为中介变量，运用固定效应面板数据模型，实证考察了金融生态环境对二氧化碳影子价格的内在作用路径。