A gridded dataset comprising value-added of primary, secondary and tertiary industries in China under shared socioeconomic pathways from 2020-2100

The Cobb-Douglas production function is applied to project the output values of primary, secondary and tertiary industries in China at the provincial scale from 2020-2100 within the framework of shared socioeconomic pathways (SSPs). The provincial output value is re-allocated to grids at a 0.1 degree resolution based on the gridded land use and population. There are 15 files in total, which are saved in the form of. CSV. Each file is a combination of an industry sector and an SSP. In each file, the first and second columns are the longitude and latitude of the grids, respectively, and the first row is the year. Starting from the third column and the second row, the output value is given as a two-dimensional matrix in units of yuan.

本研究在共享社会经济路径（shared socioeconomic pathways, SSPs）框架下，应用柯布-道格拉斯生产函数（Cobb-Douglas production function）预测2020-2100年中国省级尺度上第一、第二及第三产业的产值。省级产值基于格点化土地利用与人口数据，重新分配至分辨率为0.1度的格点中。数据集共包含15个文件，均以.csv格式存储。每个文件对应一个产业部门与一个SSP情景的组合。每个文件中，第一列与第二列分别为格点的经度和纬度，第一行为年份；从第三列第二行开始，产值以二维矩阵形式呈现，单位为元。