Evolution of the United States Climate Change Policies and missed leadership opportunities
Abstract: The main objective of this work lies in exposing the evolution and the main features of the US climate policies expressed in its national, subnational, and foreign dimensions that are naturally interwoven. Thus, we assert some of the main features of traditional political approach to clima...
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Lenguaje: | English |
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Instituto de Estudios Internacionales, Universidad de Chile
2021
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Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-37692021000100009 |
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Sumario: | Abstract: The main objective of this work lies in exposing the evolution and the main features of the US climate policies expressed in its national, subnational, and foreign dimensions that are naturally interwoven. Thus, we assert some of the main features of traditional political approach to climate change include: an emphasis on costs and the impact of measures to address climate change in the American economy and its economic growth; the questioning of climate science as insufficient to justify the costs of the action; the questioning of the differentiation between developed and developing countries as a valid argument for the US to take the lead in international climate action; the resistance to assume mitigation commitments that collide with the principle of national sovereignty and fundamental freedoms inherited from the founding fathers and the related tension between the role of States and free market value. We also recognize that political ideology and partisanship continue to play a key role in climate change polices in the US. While political and economic denialism has not been able to immobilize subnational governmental and non-governmental climate initiatives, it has undermined the opportunity and the responsibility of the US to sustain leadership as international projection. This contribution follows a qualitative approach based on the analysis of climate change policies at different scales. It is based mainly on documentary and qualitative data analysis. |
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