This panel dataset brings together state-level indicators to explore the drivers of regulatory and environmental performance related to sand and gravel mining (SGM) across the United States. It integrates information from multiple domains—including mining activity, demographic and educational composition, and political context—for all 50 U.S. states across approximately two decades (2000–2023). The dataset enables multi-dimensional analysis of factors that may influence regulatory performance and environmental outcomes associated with in-stream mining, including the role of state-level autonomy. While primarily intended to support statistical analysis, policy comparison, and broader discussions on environmental governance in mining, it also provides valuable, organized data on key demographic variables such as educational attainment by age and gender.
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Mining Indicators
Jun 29, 2025
Martin, Meghan; Olofsson, Kristin, 2025, "Mining Indicators", https://doi.org/10.7910/DVN/1VWQWN, Harvard Dataverse, V1
This is the core dataset we pulled variables from for our study. It is a state-level panel dataset integrating annual economic and environmental variables related to sand and gravel mining (SGM) from 2000 to 2024. Key variables include the value and production of SGM and other minerals, the number and status of mines, SGM end use, and key state-lev...
US State-Level Socio-Political and Environmental Contextual Indicators
Jun 29, 2025
Martin, Meghan; Olofsson, Kristin, 2025, "US State-Level Socio-Political and Environmental Contextual Indicators", https://doi.org/10.7910/DVN/QXDGKP, Harvard Dataverse, V1
This dataset organizes a range of contextual variables at the U.S. state level, designed to support multi-domain research and analysis. It combines information from four different sections that include political details (like which party controls the legislature in a given year), social and demographic facts (such as education levels by age and gen...
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