A package of dataset and codes of article "Green Technology Innovation, Digital Economy Development and Green Economic Growth"

The dataset is composed of unbalanced panel data from 290 cities in China from 2011 to 2019, covering data such as basic economic conditions, carbon emissions, digital economy development index, and night - time light brightness. The economic indicators at the city level are sourced from "China Urban Statistical Yearbook". The carbon emission data is sourced from the Carbon Emission Accounts and Datasets (CEADs). Green technology innovation is represented by the number of green invention patent applications at the city level, which are sourced from the Chinese Research Data Services Platform (CNRDS). As for the development level of the digital economy, We follow Zhao et al.(2020) to construct digital economy development index. We take the logarithmic values of the original data used as the carbon emission indicators. The package also concludes empirical codes with which one could replicate all the empirical table.本数据集由2011至2019年中国290个城市的非平衡面板数据构成，涵盖基础经济状况、碳排放、数字经济发展指数以及夜间灯光亮度等多维度数据。其中，城市层面的经济指标来源于《中国城市统计年鉴》；碳排放数据来源于碳排放账户与数据集（Carbon Emission Accounts and Datasets，CEADs）；绿色技术创新以城市层面绿色发明专利申请数量作为代理变量，相关数据来源于中国研究数据服务平台（Chinese Research Data Services Platform，CNRDS）。至于数字经济发展水平，本文参考Zhao等人（2020）的研究构建数字经济发展指数。针对用于构建碳排放指标的原始数据，我们对其进行对数化处理。本数据集附带可复现所有实证表格的实证代码。

搜集汇总

背景与挑战

背景概述

该数据集包含2011-2019年中国290个城市的非平衡面板数据，涵盖城市经济指标、碳排放、数字经济发展指数和绿色专利等核心变量，主要用于研究绿色技术创新、数字经济发展与绿色经济增长的关系。数据集整合了多源权威统计数据，并提供了完整的实证分析代码支持研究复现。