Dataset of 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions'

This dataset is an integral component of the research presented in 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions' by Yoo et al., 2024. It encompasses:

1. Links to two publicly accessible datasets:

Industrial land mapping data derived from Google Earth Engine.

Data employed in a longitudinal analysis to evaluate the effects of urban industrial land expansion on CO2 emissions and economic growth.

2. Comprehensive input data utilized in Mixed Effects Random Forest (MERF) longitudinal modeling to assess the separate impacts on CO2 emissions and economic growth in developing and developed regions.

3. Python scripts provided for:

Executing MERF longitudinal modeling.

Computing SHAP (SHapley Additive exPlanations) values to interpret the contributions of each predictor variable.

Generating figures that visually summarize the findings for both developing and developed regions.

The manuscript is available at: https://doi.org/10.1038/s43247-024-01375-x