Cultural Consumption Policies and Urban Carbon Emissions: Evidence from a Natural Policy Experiment in China
收藏资源简介：
Title:Replication Data for “Cultural Consumption Policies and Urban Carbon Emissions: Evidence from a Natural Policy Experiment in China” Description:This dataset accompanies the manuscript entitled “Cultural Consumption Policies and Urban Carbon Emissions: Evidence from a Natural Policy Experiment in China”, submitted to Land. The dataset contains a balanced panel of 284 prefecture-level cities in China, covering the period from 2015 to 2023. It includes variables related to carbon emissions, economic indicators, cultural policy intervention (CCPP), industrial structure, fiscal capacity, digital infrastructure, and green innovation. The data were compiled from official sources such as the China City Statistical Yearbook, the National Bureau of Statistics of China, and the European Union’s EDGAR database. The main outcome variable is per capita CO₂ emissions. The file City data final.dta contains the cleaned and merged dataset used for empirical analysis. The file do.do is the replication code (Stata format) used to generate all statistical results in the manuscript, including baseline regressions, robustness checks, mediation and moderation analyses. Format: City data final.dta: Stata 17 data file do.do: Stata command script Software required:Stata/SE 17.0 or higher License:Creative Commons Attribution 4.0 International (CC BY 4.0) Contact:Jie Wang (lzuaswjie@luas.edu.cn)The College of Economics and Management, Lanzhou University of Arts and Science
标题：《文化消费政策与城市碳排放：来自中国一项自然政策实验的证据》复制数据集 描述：本数据集配套于投至《Land》期刊、题为《文化消费政策与城市碳排放：来自中国一项自然政策实验的证据》的研究论文。本数据集包含中国284个地级市的平衡面板数据，时间跨度为2015年至2023年，涵盖碳排放、经济指标、文化政策干预（Cultural Policy Intervention, CCPP）、产业结构、财政能力、数字基础设施以及绿色创新等相关变量。 本数据集整合自中国城市统计年鉴、中华人民共和国国家统计局以及欧盟EDGAR数据库等官方公开数据源。核心被解释变量为人均二氧化碳排放量。 文件`City data final.dta`包含经清洗与合并后的实证分析数据集；文件`do.do`为用于复现论文中所有统计结果的Stata格式复现代码，涵盖基准回归、稳健性检验、中介效应与调节效应分析等内容。 格式： City data final.dta：Stata 17 格式数据文件 do.do：Stata 命令脚本 所需软件：Stata/SE 17.0及以上版本 许可协议：知识共享署名4.0国际许可（CC BY 4.0） 联系方式：王杰（邮箱：lzuaswjie@luas.edu.cn），兰州文理学院经济管理学院
