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              <text>Developing a global sustainable electricity use index using the pressure-state-response framework</text>
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              <text>Electricity; Entropy; PSR framework; Sustainable electricity use</text>
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              <text>This study analyse and compare the sustainable electricity usage in 60 countries listed on the official websites of World Energy Consumption Statistics and Climate Bond Initiative. The study also analyses the impact of increased usage of sustainable electricity on the economies' dependence on non-renewable energy sources in the evaluation system. We used a standard index system based on the Pressure-State Response (PSR) model to measure global sustainable electricity usage. Model results convey that Norway is the best performer in sustainable electricity usage, while several European countries display commendable scores, confirming their commitment to sustainable electricity practices. On the other hand, despite being the leading economies in terms of GDP, major economies such as the United States, China, Japan, and India have underperformed compared to others in the evaluation system. The study employs regression techniques to explain the relationship between sustainable electricity usage and non-renewable energy dependence. Results confirm a negative relationship between the variables, indicating the role of sustainable energy practices in reducing fossil fuel consumption. It emphasizes the urgency of a balanced approach to economic growth and natural resource usage to support a green future.  2024 Elsevier Ltd</text>
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              <text>Kappil S.R.; Aneja R.; Verma A.</text>
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              <text>Utilities Policy, Vol-91</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.jup.2024.101826" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jup.2024.101826&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204736103&amp;amp;doi=10.1016%2Fj.jup.2024.101826&amp;amp;partnerID=40&amp;amp;md5=85c912b30bc32376b60bf7a5663fee1b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204736103&amp;amp;doi=10.1016%2fj.jup.2024.101826&amp;amp;partnerID=40&amp;amp;md5=85c912b30bc32376b60bf7a5663fee1b&lt;/a&gt;</text>
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              <text>ISSN: 9571787</text>
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              <text>Kappil S.R., Department of Data Science, Christ University, Karnataka, Bangalore, India; Aneja R., Department of Economics, Central University of Haryana, Mahendergarh, India; Verma A., Department of Economics, Central University of Haryana, Mahendergarh, India</text>
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