Data for factors influencing renewable energy technology innovation from a spatial perspective

This study examines a balanced panel dataset from 29 provinces in China from a series of statistical yearbooks (2007–2018). Considering the availability and representativeness of the data, this study focuses on 29 provinces, excluding Hong Kong, Macao, Taiwan, Tibet, and Chongqing for 2006–2017.Using the International Patent Classification (IPC) code and combining this with the relevant literature, this study obtained the number of invention patents granted for different renewable energy sources from the website of the State Intellectual Property Office (SIPO), as well as the index value for RETI by summation.The R&amp;D intensity of the enterprises, public institutions, and universities in each province was obtained by calculating the proportion of the internal R&amp;D expenditure divided by the regional GDP. The data for internal R&amp;D expenditure and regional GDP were obtained from the China Science and Technology Statistical Yearbook and the China Statistical Yearbook. The provincial human capital was obtained from the human capital website of Renmin University, which represents the actual total amount of provincial human capital. The marketing degree indicator for each province was obtained from the China Provincial Marketing degree Indicator Report (2018). The installed capacity of the renewable energy in each province was obtained from the China Electric Power Yearbook. <br> <br>

本研究采用2007-2018年中国系列统计年鉴中的平衡面板数据集，样本初始覆盖中国29个省份。考虑到数据可得性与代表性，本研究最终选取2006-2017年的样本，剔除香港、澳门、台湾、西藏及重庆市。

本研究结合国际专利分类（International Patent Classification, IPC）编码与相关文献，从国家知识产权局（State Intellectual Property Office, SIPO）官网获取不同可再生能源领域的授权发明专利数量，并通过求和运算得到可再生能源技术创新指数（RETI）。

各省企业、事业单位及高校的研发强度，通过内部研发经费支出占地区生产总值（GDP）的比重计算得到；内部研发经费支出与地区生产总值数据均取自《中国科技统计年鉴》与《中国统计年鉴》。

各省人力资本数据取自中国人民大学人力资本研究官网，该指标表征各省人力资本实际总量。

各省市场化程度指标取自《中国省级市场化程度指标报告（2018）》。

各省可再生能源装机容量数据取自《中国电力年鉴》。