Researchers have developed a dynamic structural model to analyze policies aimed at increasing residential solar power adoption. The model, which incorporates household economic trade-offs, neighbor influence, and spatiotemporal dynamics, was estimated using detailed data from Austin, Texas. Simulation results indicate that a limited-time rebate can be more effective than a prolonged program due to forward-looking household behavior and accelerated adoption before the incentive expires. The study also suggests that phased reductions in rebates and geographic differentiation can improve policy performance. AI
排序理由 Academic paper on policy analysis using a dynamic structural model. [lever_c_demoted from research: ic=1 ai=0.1]
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