Multi-level Supportive Policy Dataset for China's Resource-Based Cities (2003 to 2023)

In China's hierarchical governance system, the central government formulates overarching strategies and targets, while provincial, municipal, and county authorities implement them after making appropriate adjustments based on local resource endowments, administrative capabilities, and development priorities. However, existing research often uses proxy variables for policy factors, and current policy intensity indices predominantly focus on policy objectives and instruments, lacking direct, comprehensive quantification methods. To bridge this gap, this study expands the policy intensity concept to incorporate policy levels, objectives, and instruments, quantified through word frequency analysis. Using 3788 government work reports (2003-2023) across national, provincial, and prefectural levels, we construct a multidimensional supportive policy intensity index. The dataset, available in.dta and.xlsx formats, includes individual policy report inventory and intensity, and aggregated policy intensity across four administrative levels, four objectives, and five policy instruments. When integrated with micro- and macro-level data on green transformation performance and environmental pollution, this dataset offers substantial potential for interdisciplinary research.