Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling
Public attitudes towards energy sources and climate change are increasingly complex. This paper explores Americans’ perceptions of energy sources including renewables, Electric Vehicles (EVs), government policies and climate change. A survey conducted by the Pew Research Center (PRC), com...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10980002/ |
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| author | Ionut Nica Simona-Vasilica Oprea Adela Bara |
| author_facet | Ionut Nica Simona-Vasilica Oprea Adela Bara |
| author_sort | Ionut Nica |
| collection | DOAJ |
| description | Public attitudes towards energy sources and climate change are increasingly complex. This paper explores Americans’ perceptions of energy sources including renewables, Electric Vehicles (EVs), government policies and climate change. A survey conducted by the Pew Research Center (PRC), comprising over 10,000 responses to 52 questions on energy sources and climate change, is analyzed. In this paper, we propose a data analysis framework that consists of Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), cluster analysis and Principal Component Analysis (PCA) to segment respondents and identify key variables. Furthermore, the Structural Equation Model (SEM) is created to examine relationships between latent and observed variables, using maximum likelihood estimation. The results validated the identified factors, with high loading on key variables indicating strong contributions to attitudes towards energy and climate policies. |
| format | Article |
| id | doaj-art-3e5a90f95dc141ff977a94dabeecd6f4 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-3e5a90f95dc141ff977a94dabeecd6f42025-08-20T03:48:57ZengIEEEIEEE Access2169-35362025-01-0113769817700010.1109/ACCESS.2025.356567610980002Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations ModelingIonut Nica0https://orcid.org/0000-0003-2118-3654Simona-Vasilica Oprea1https://orcid.org/0000-0002-9005-5181Adela Bara2https://orcid.org/0000-0002-0961-352XDepartment of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, RomaniaDepartment of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, RomaniaDepartment of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, RomaniaPublic attitudes towards energy sources and climate change are increasingly complex. This paper explores Americans’ perceptions of energy sources including renewables, Electric Vehicles (EVs), government policies and climate change. A survey conducted by the Pew Research Center (PRC), comprising over 10,000 responses to 52 questions on energy sources and climate change, is analyzed. In this paper, we propose a data analysis framework that consists of Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), cluster analysis and Principal Component Analysis (PCA) to segment respondents and identify key variables. Furthermore, the Structural Equation Model (SEM) is created to examine relationships between latent and observed variables, using maximum likelihood estimation. The results validated the identified factors, with high loading on key variables indicating strong contributions to attitudes towards energy and climate policies.https://ieeexplore.ieee.org/document/10980002/Energy adoptionclimate changepublic opiniondata analysisframeworkSEM |
| spellingShingle | Ionut Nica Simona-Vasilica Oprea Adela Bara Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling IEEE Access Energy adoption climate change public opinion data analysis framework SEM |
| title | Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling |
| title_full | Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling |
| title_fullStr | Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling |
| title_full_unstemmed | Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling |
| title_short | Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling |
| title_sort | measuring public opinions on renewable energy and climate change using structural equations modeling |
| topic | Energy adoption climate change public opinion data analysis framework SEM |
| url | https://ieeexplore.ieee.org/document/10980002/ |
| work_keys_str_mv | AT ionutnica measuringpublicopinionsonrenewableenergyandclimatechangeusingstructuralequationsmodeling AT simonavasilicaoprea measuringpublicopinionsonrenewableenergyandclimatechangeusingstructuralequationsmodeling AT adelabara measuringpublicopinionsonrenewableenergyandclimatechangeusingstructuralequationsmodeling |