How Aging Impacts Environmental Sustainability– Insight from the Effects of Social Consumption and Labor Supply

Based on the arithmetic process of the dynamic panel threshold model, this data contains aging, carbon emissions, mediating variables, and related control variables for each province in China from 2000-2020. Provincial-level panel data in China are selected to measure the impact of population aging on carbon emissions. Specifically, carbon emissions (explanatory variable), the proportion of aging (critical variable), and other variables, such as population density, GDP per capita, urbanization level, per capita consumption expenditure, healthcare consumption expenditure, industrial structure, energy consumption, the proportion of R&D expenditures, and the composition of employed persons, are involved. The data are from China Statistical Yearbook, China Energy Statistical Yearbook, China Science and Technology Statistical Yearbook, and China Population and Employment Statistical Yearbook, respectively. Since no official organization in China publishes specific carbon emission data for each region, this study adopts the IPCC public accounting method to measure carbon emissions.