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Holding Back the Storm: Target Populations and State Climate Adaptation Planning in America
Author(s) -
Koski Chris,
Keating Megan
Publication year - 2018
Publication title -
review of policy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.832
H-Index - 45
eISSN - 1541-1338
pISSN - 1541-132X
DOI - 10.1111/ropr.12308
Subject(s) - adaptation (eye) , incentive , climate change , climate change adaptation , state (computer science) , population , environmental resource management , political science , environmental planning , business , geography , computer science , economics , sociology , ecology , physics , demography , algorithm , optics , biology , microeconomics
This paper investigates the landscape of state‐level adaptation planning in the United States. We answer three primary research questions: First, how are states planning for climate change? Second, who are states targeting for climate adaptation? Third, what tools are states using to motivate climate adaptation efforts? We develop and implement a coding scheme using Schneider and Ingram’s Social Construction Framework (SCF) to characterize variation in 2033 individual adaptation goals mentioned in all 14 American states with explicit adaptation plans. We use these data to understand the types of tools used to motivate different actors (governmental, private, nonprofit) to adapt to climate change. We find that the most frequent target of state adaptation planning is the state itself, which provides an opportunity to extend the SCF to a target group often not mentioned in public policy. Specifically, we find that states target themselves with mandates or tools designed to acquire information. Other stakeholders in adaptation are more likely to be the targets of capacity building tools. Private actors are the only population more likely to be targeted by incentives. The project expands the Social Construction Framework to include targets and tools of planning efforts. Practically, our article offers a methodology by which to compare the vastly heterogeneous efforts to adapt to climate change at the subnational level.