Complexity Inequality and Internet data

This is the data used in the research "Complexity Inequality and Internet". Inequality is quantified using the Gini coefficient after taxes and transfers, sourced from the Standardized World Income Inequality Database, incorporating data from the OECD, World Bank, and ECLAC (Solt, 2020). Explanatory variables include the Economic Complexity Index (ECI) from the Atlas of Economic Complexity (The Growth Lab at Harvard University, 2019), normalized within a range of -3 to +3; real GDP per capita in 2017 US dollars from the Penn World Table (Feenstra, et al., 2015); and internet access, measured as the percentage of the population using this service (The World Bank, 2023). The dataset comprises 126 countries with data spanning from 1995 to 2020.<br>

本数据集为《复杂度不平等与互联网》（Complexity Inequality and Internet）相关研究的配套数据。不平等指标采用税后再分配后的基尼系数（Gini coefficient）进行量化，数据源自标准化世界收入不平等数据库（Standardized World Income Inequality Database），整合了经济合作与发展组织（OECD）、世界银行（World Bank）以及拉丁美洲和加勒比经济委员会（ECLAC）的相关数据（Solt, 2020）。解释变量包括经济复杂度指数（Economic Complexity Index，ECI），数据源自《经济复杂度图谱》（Atlas of Economic Complexity）（哈佛大学增长实验室，2019），该指数的归一化取值范围为-3至+3；以2017年不变价美元计算的实际人均GDP数据取自佩恩世界表（Penn World Table）（Feenstra等，2015）；互联网接入率以使用该服务的人口占比进行测算，数据源自世界银行（The World Bank, 2023）。本数据集涵盖126个国家，数据时间跨度为1995年至2020年。