National and provincial population and economy projection databases under Shared Socioeconomic Pathways(SSP1-5)_v2

V1 dataset:Under the global framework of Shared Socioeconomic Pathways (SSPs), based on localized population and economic parameters, a Population Development Environment (PDE) model is adopted to construct population grid data for SSPs from 2020 to 2100; Using the Cobb Douglas model, construct economic data for SSPs from 2020 to 2100.The v1 dataset includes:Population grid data of the world, The Belt and Road region, and China, with a spatial resolution of 0.5°GDP grid data of the world, The Belt and Road region, and China, with a spatial resolution of 0.5 °Grid data on the output value of three industries in the Chinese region, with a spatial resolution of 0.1 °V2 dataset:Based on the data from the 7th National Population Census of China, starting from 2020, the parameters such as fertility rate, mortality rate, migration rate, and education level in the Population Development Environment (PDE) model were updated. Under the Shared Socioeconomic Pathways (SSP1-5), a new version (v2) of the total population and age and gender specific population projection dataset for China and its provinces from 2020 to 2100 was created. Based on the data from the 7th National Population Census and the 4th Economic Census of China, with 2020 as the starting year, the parameters of total factor productivity, capital stock, labor input, and capital elasticity coefficient in the Cobb Douglas model were updated. Under the shared SSP1-5, a new version (v2) of China and its provincial GDP projectiondataset from 2020 to 2100 was created.The v2 (2024 version) dataset includes:Total Population Data of China and Provinces (2020-2100)Population data by age and gender in China (2020-2100)China and Provincial GDP Data (2020-2100)

V1数据集：在共享社会经济路径（Shared Socioeconomic Pathways, SSPs）全球框架下，基于本地化人口与经济参数，采用人口发展环境（Population Development Environment, PDE）模型构建2020至2100年共享社会经济路径下的人口格网数据；结合柯布-道格拉斯（Cobb Douglas）模型，构建2020至2100年共享社会经济路径下的经济数据。V1数据集包含：全球、“一带一路”区域及中国的人口格网数据（空间分辨率0.5°）；全球、“一带一路”区域及中国的GDP格网数据（空间分辨率0.5°）；中国区域三次产业产值格网数据（空间分辨率0.1°）。V2数据集：基于中国第七次全国人口普查数据，以2020年为起始年份，更新了人口发展环境（PDE）模型中的生育率、死亡率、迁移率及受教育水平等参数；在共享社会经济路径（SSP1-5）框架下，生成2020至2100年中国及其各省域的总人口、分年龄分性别人口预测数据集新版（v2）。基于中国第七次全国人口普查与第四次全国经济普查数据，以2020年为起始年份，更新了柯布-道格拉斯模型中的全要素生产率、资本存量、劳动投入及资本弹性系数等参数；在共享社会经济路径（SSP1-5）框架下，生成2020至2100年中国及其各省域的GDP预测数据集新版（v2）。V2（2024版）数据集包含：中国及各省域总人口数据（2020-2100）；中国分年龄分性别人口数据（2020-2100）；中国及各省域GDP数据（2020-2100）。

搜集汇总

背景与挑战

背景概述

该数据集是一个基于共享社会经济路径（SSP1-5）的全球和中国及省级人口与经济预测数据库v2版本，覆盖2020年至2100年。它使用人口发展环境（PDE）模型和Cobb Douglas模型，基于最新普查数据更新参数，提供了高分辨率的人口网格数据（如总人口和分年龄性别人口）和GDP预测数据，特别关注中国及省份的详细预测，适用于气候变化和社会经济研究。