2020
DOI: 10.1016/j.enpol.2019.111218
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Carbon tax and energy programs for buildings: Rivals or allies?

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Cited by 25 publications
(11 citation statements)
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“…Alisa (2020) analyzed the feasibility of using carbon tax revenue to finance energy efficiency and renewable energy projects based on the case of Switzerland. The study showed that such policy could not only reduce carbon emissions but also help reduce the cost of home heating (Freyre et al, 2020). Rehman (2021) explored the interaction between carbon dioxide emissions and industrialization, energy imports, carbon intensity, economic development, and total capital by using data from 1971 to 2019 in Pakistan (Rehman et al, 2021).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Alisa (2020) analyzed the feasibility of using carbon tax revenue to finance energy efficiency and renewable energy projects based on the case of Switzerland. The study showed that such policy could not only reduce carbon emissions but also help reduce the cost of home heating (Freyre et al, 2020). Rehman (2021) explored the interaction between carbon dioxide emissions and industrialization, energy imports, carbon intensity, economic development, and total capital by using data from 1971 to 2019 in Pakistan (Rehman et al, 2021).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The accuracy of the results was increased by using the all-encompassing forecasting test developed by Freyre et al (2020). According to investigators, whether or not a predicting model includes alternatives based on the importance of a corresponding variable when using a regression test for predicting in Table 6.…”
Section: Empirical Results and Discussionmentioning
confidence: 99%
“…(Urban et al, 2018) The MCS analysis confirms that the fixed-income sector has had exceptional success, with the Green Building Index coming in second. The accuracy of the results was increased by using the all-encompassing forecasting test developed by (Freyre et al, 2020). According to, investigators may tell whether or not a predicting model includes alternatives based on the importance of a corresponding variable when using a regression test for predicting.…”
Section: Empirical Results and Discussionmentioning
confidence: 99%