6. Local politics and land take: Using remote sensing data to analyse land-use changes in Sweden episode artwork

EPISODE · Jan 20, 2026 · 10 MIN

6. Local politics and land take: Using remote sensing data to analyse land-use changes in Sweden

from EEG Investiga · host School of Economics, Management and Political Science

Wittberg, E., Tavares, A. F., & Szmigiel-Rawska, K. (2025). Local politics and land take: Using remote sensing data to analyse land-use changes in Sweden. Journal of Environmental Management, 384. https://doi.org/10.1016/j.jenvman.2025.125387This study examines how local politics and employment structures shape land take in Sweden, using remote-sensing data from 2006 to 2018. Drawing on a political market framework, it conceptualizes local politicians as suppliers of land-use policies who balance pro-growth and pro-conservation interests. Sweden provides a distinctive context due to its stable, consensus-oriented democratic institutions. Empirically, mining emerges as the main driver of intensive land-use change, reflecting its economic importance and political salience, particularly in areas affecting Sami communities. Electoral support for the Green Party plays a key moderating role, significantly constraining land-intensive development in mining municipalities. Unlike findings for more polarized systems, greater political stability—measured by wider electoral victory margins—is associated with less intensive land take, consistent with coalition-based governance dampening extreme outcomes. Interestingly, left-wing coalitions are linked to higher land take, reflecting Social Democratic support for mining-led employment. The analysis also reveals path dependency and spatial spillovers. Overall, the findings highlight how consensus governance can balance economic and environmental pressures.

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6. Local politics and land take: Using remote sensing data to analyse land-use changes in Sweden

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Wittberg, E., Tavares, A. F., & Szmigiel-Rawska, K. (2025). Local politics and land take: Using remote sensing data to analyse land-use changes in Sweden. Journal of Environmental Management, 384. https://doi.org/10.1016/j.jenvman.2025.125387This...

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