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Energy Justice, Energy Policy and Tr...
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Si, Yutong.
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Energy Justice, Energy Policy and Transformative Climate Action.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Energy Justice, Energy Policy and Transformative Climate Action./
Author:
Si, Yutong.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:
150 p.
Notes:
Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:
Dissertations Abstracts International85-11B.
Subject:
Public policy. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31147428
ISBN:
9798382589343
Energy Justice, Energy Policy and Transformative Climate Action.
Si, Yutong.
Energy Justice, Energy Policy and Transformative Climate Action.
- Ann Arbor : ProQuest Dissertations & Theses, 2024 - 150 p.
Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Thesis (Ph.D.)--Northeastern University, 2024.
As the world grapples with the dangerous geopolitical and climate impacts of continued fossil fuel reliance, energy systems around the world are shifting from centralized fossil-fuel systems to more distributed, efficient, and heterogeneous configurations that use various renewable energy sources. Recognizing that the climate crisis requires an energy transition to move away from fossil fuels to renewables, this dissertation is centered around understanding the complexities and barriers in renewable deployment and fossil fuel phase-out. This understanding aims to improve energy policymaking and facilitate a just energy transition.The concept of energy justice has emerged in response to widespread inequities and injustices in the energy systems and concerns about social justice dimensions (e.g., racial justice, economic justice) of energy transitions. This dissertation research is rooted in the framework of energy justice and integrates interdisciplinary perspectives including the policy process, communication, and sociology. This analysis contains a mix of methodologies, including computational text analysis, qualitative methods, and social network analysis (SNA).This dissertation research includes three research studies which have each been written as stand-alone peer-reviewed research articles. The first article analyzes the policy provision of a low-income solar program in Massachusetts and the associated public comments to understand the policy process of developing solar programs at the state level in the United States. Grounded in Schneider and Ingram's Social Construction Framework (SCF) and applying computational text analysis, this work reveals that low-income households are categorized as "dependents" instead of "advantaged", given their positive social construction but weaker political power. These insights reveal procedural injustices in U.S. energy policy and highlight the importance of more inclusive policymaking process. The second article examines how fossil fuel companies (represented by Shell, ExxonMobil, BP, and TotalEnergies) engage in energy transitions and how those companies communicate about renewables and natural gas on social media. The identified pattern of communication - linking renewables to natural gas and promoting natural gas as part of their corporate response to climate change - suggests an evolution of fossil fuel companies' strategic efforts to delay the energy transition and obstruct climate action.With the first two articles concerning the regenerative economy and the extractive economy respectively, the third article of my dissertation project explores how opposing advocacy groups communicate about oil and gas on social media. Applying a text mining and network approach, this article uses the Narrative Policy Framework (NPF) to examine temporal shifts in narrative strategies used by opposing advocacy groups on Twitter (now called X) from 2009 to 2023. While pro-oil and gas advocacy groups emphasize the policy benefits of oil and gas development, anti-oil and gas advocacy groups focus on the policy costs. The narratives have evolved over time. Notably, pro-oil and gas advocacy groups have increasingly emphasized energy leadership over job creation and had more interactions with other actors during Obama and Biden presidencies, while the anti-oil and gas advocacy groups have prominently highlighted wildlife threats and had more interactions with other actors during the Trump presidency. By incorporating Structural Topic Modeling (STM) and SNA methodologies into the NPF, this analysis expands research on narratives, stories and storytelling in energy and climate change studies and challenges us to consider narratives collectively rather than in isolation.
ISBN: 9798382589343Subjects--Topical Terms:
532803
Public policy.
Subjects--Index Terms:
Climate action
Energy Justice, Energy Policy and Transformative Climate Action.
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As the world grapples with the dangerous geopolitical and climate impacts of continued fossil fuel reliance, energy systems around the world are shifting from centralized fossil-fuel systems to more distributed, efficient, and heterogeneous configurations that use various renewable energy sources. Recognizing that the climate crisis requires an energy transition to move away from fossil fuels to renewables, this dissertation is centered around understanding the complexities and barriers in renewable deployment and fossil fuel phase-out. This understanding aims to improve energy policymaking and facilitate a just energy transition.The concept of energy justice has emerged in response to widespread inequities and injustices in the energy systems and concerns about social justice dimensions (e.g., racial justice, economic justice) of energy transitions. This dissertation research is rooted in the framework of energy justice and integrates interdisciplinary perspectives including the policy process, communication, and sociology. This analysis contains a mix of methodologies, including computational text analysis, qualitative methods, and social network analysis (SNA).This dissertation research includes three research studies which have each been written as stand-alone peer-reviewed research articles. The first article analyzes the policy provision of a low-income solar program in Massachusetts and the associated public comments to understand the policy process of developing solar programs at the state level in the United States. Grounded in Schneider and Ingram's Social Construction Framework (SCF) and applying computational text analysis, this work reveals that low-income households are categorized as "dependents" instead of "advantaged", given their positive social construction but weaker political power. These insights reveal procedural injustices in U.S. energy policy and highlight the importance of more inclusive policymaking process. The second article examines how fossil fuel companies (represented by Shell, ExxonMobil, BP, and TotalEnergies) engage in energy transitions and how those companies communicate about renewables and natural gas on social media. The identified pattern of communication - linking renewables to natural gas and promoting natural gas as part of their corporate response to climate change - suggests an evolution of fossil fuel companies' strategic efforts to delay the energy transition and obstruct climate action.With the first two articles concerning the regenerative economy and the extractive economy respectively, the third article of my dissertation project explores how opposing advocacy groups communicate about oil and gas on social media. Applying a text mining and network approach, this article uses the Narrative Policy Framework (NPF) to examine temporal shifts in narrative strategies used by opposing advocacy groups on Twitter (now called X) from 2009 to 2023. While pro-oil and gas advocacy groups emphasize the policy benefits of oil and gas development, anti-oil and gas advocacy groups focus on the policy costs. The narratives have evolved over time. Notably, pro-oil and gas advocacy groups have increasingly emphasized energy leadership over job creation and had more interactions with other actors during Obama and Biden presidencies, while the anti-oil and gas advocacy groups have prominently highlighted wildlife threats and had more interactions with other actors during the Trump presidency. By incorporating Structural Topic Modeling (STM) and SNA methodologies into the NPF, this analysis expands research on narratives, stories and storytelling in energy and climate change studies and challenges us to consider narratives collectively rather than in isolation.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31147428
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