Finance

Environmental resource management

Climate change

Sociology

Business

Archaeology

Population

Mathematics

Biology

Distribution (mathematics)

Primary sector of the economy

Demography

Mathematical analysis

Socioeconomic status

China

Economics

Geography

Secondary sector of the economy

Natural resource economics

Ecology

Computer science

Tertiary sector of the economy

Computer security

Environmental science

Added value

Vulnerability (computing)

Scientific Data

Gridded distribution of future economy plays an important role in climate change impact assessment. The trend of the output values of different industries is crucial for a variety of planning and design processes. Under the Shared Socioeconomic Pathways (SSPs) global framework, the multidimensional model and Cobb-Douglas production model with localized population and economic parameters are used to develop the annual provincial population and value-added of primary, secondary and tertiary industries in China from 2020 to 2100. The most recently implemented fertility-promoting and industrial planning policies in China are considered in our projections. We build multiple models to evaluate the impact of different types of land use on the value-added of primary, secondary and tertiary industries and then gridded the projected value-added to a 5' × 5' resolution, based on recorded county-level economic statistics and gridded land use. The reliability of estimations is verified against 2011-2019 statistical data and multiple published datasets. The high-resolution economic dataset is expected to contribute greatly to national and regional climate change impact, adaptation, and vulnerability studies.

Gridded value-added of primary, secondary and tertiary industries in China under Shard Socioeconomic Pathways