100% renewable electricity policies in U.S. cities: A mixed methods analysis of adoption and implementation

Kunkel, Leah C.; Breetz, Hanna L.; Abbott, Joshua K.

doi:10.1016/j.enpol.2022.113053

Cited by 8 publications

(4 citation statements)

References 43 publications

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“…Using a standard linear probability approach, the model assesses how 100% RE adoption policies are correlated with demographics, institutional arrangements, and prior sustainability actions. The model found that population size and college education had significant positive relationships with 100RE commitments (Kunkel et al, 2022). Firestone and Kempton (2007) found similar results when addressing reasons for public opposition to offshore wind projects.…”

Section: Literature Reviewmentioning

confidence: 69%

“…Contrary to this paper's hypothesis, existing literature has identified primarily negative relationships with variables representing wealth. Kunkel et al (2022) found that 100RE commitments were more likely in cities with lower median income and higher poverty rates. Additionally, Breetz et al (2022) found that the poverty rate is 27% higher among municipal adopters of renewable energy than non-adopters.…”

Section: Literature Reviewmentioning

confidence: 98%

“…Among the literature, demographics (age, education, sex, race, income) are often cited as being an explanatory variable for measuring renewable energy adoption and conversion. A study done by Kunkel et al in 2022 attempts to find reasons for and against the adoption of 100% renewable electricity in cities across the United States.…”

Section: Literature Reviewmentioning

confidence: 99%

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Renewable Energy and Electric Vehicle Conversion: A National Evaluation of the Clean Energy Transition

Baker¹

2022

Preprint

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This study applies economic modeling to assess the importance of variables thought to benefit or hinder the clean energy transition in all 50 states and one district in the United States. The study will discuss existing theories and literature behind the drivers of renewable energy generation. Linear and logit regression techniques are used to evaluate four different models. The results find that an increase in state population, renewable energy incentives, and average peak sun hours increases renewable energy generation, while an increase in the amount of protected land and people registered as Democrats decrease renewable energy generation. They also find that an increase in state population, the amount of protected land, and people registered as Democrats increase per capita electric vehicle registrations. The study shows that any state can excel in the energy transition given beneficial geographical attributes, increased clean energy incentives, and political accord.

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Section: Literature Reviewmentioning

confidence: 69%

Section: Literature Reviewmentioning

confidence: 98%

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Renewable Energy and Electric Vehicle Conversion: A National Evaluation of the Clean Energy Transition

Baker¹

2022

Preprint

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“…For this reason, all the countries where the economy is growing also register an increase in their energy consumption, which also includes aspects such as mobility, heating and cooling [ 1 ]. The energy area becomes a key strategic concern for governments, especially if it is considered a public service for which the state is the guarantor of providing the service to all citizens [ 2 ]. Studying the energy systems in a region or country implies understanding its history and in what proportion it evolved, the implications of the reforms to the law and the possibilities of modernization, especially with the support of renewable energies.…”

Section: Introductionmentioning

confidence: 99%

Ecuadorian electrical system: Current status, renewable energy and projections

Icaza

Flores

Ortiz

2023

Heliyon

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Politics or need? Explaining state climate change policy adoption, 2007–2016

Zhang,

Morris,

Fisk

et al. 2024

Journal of Critical Infrastructure Policy

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As climate change grows in importance on state policy agendas around the country, state responses are brought into focus. States may choose to address climate change through legislative action, executive order, administrative action, or not at all. Our research seeks to determine the state factors that lead states to favor one path to action over another. To this end, we test three explanations: a political explanation that focuses on political factors present within a state; a contextual model, and a policy need explanation that focuses on a state's vulnerability to the deleterious effects of climate change. We control for a variety of economic, social, geographic, and demographic variables in all models. We find that legislative and executive decisions tend to be driven by political considerations, although modified by extreme need.

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100% renewable electricity policies in U.S. cities: A mixed methods analysis of adoption and implementation

Cited by 8 publications

References 43 publications

Renewable Energy and Electric Vehicle Conversion: A National Evaluation of the Clean Energy Transition

Renewable Energy and Electric Vehicle Conversion: A National Evaluation of the Clean Energy Transition

Ecuadorian electrical system: Current status, renewable energy and projections

Politics or need? Explaining state climate change policy adoption, 2007–2016

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