2022
DOI: 10.3390/su14159206
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Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model

Abstract: How to effectively solve the problem of energy poverty from the perspective of digital economy is a topic worthy of attention. As a new economic form characterized by information technology, does the digital economy have an important impact on energy poverty? What is the inner mechanism? Based on the theoretical analysis of the internal mechanism of the impact of the digital economy on energy poverty, this paper systematically investigates the impact of the digital economy on energy poverty by establishing a m… Show more

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Cited by 15 publications
(5 citation statements)
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“…'s study is based on panel data of 121 countries from 2003 to 2019, and the results show that financial risk has a significant negative impact on the digital economy. Secondly, in energy research, Qu and Hao (2022) found that the digital economy has a significant mitigating effect on energy poverty, and there are regional differences, with the mitigation effect being more pronounced at high levels of digital economy development. Again, in terms of curbing climate warming, the carbon reduction effects of the digital economy and renewable energy have been confirmed by many studies (Chen, 2021;Shang et al, 2022), especially in the context of climate warming and the recent signing of the Glasgow Climate Convention.…”
Section: Literature Reviewmentioning
confidence: 99%
“…'s study is based on panel data of 121 countries from 2003 to 2019, and the results show that financial risk has a significant negative impact on the digital economy. Secondly, in energy research, Qu and Hao (2022) found that the digital economy has a significant mitigating effect on energy poverty, and there are regional differences, with the mitigation effect being more pronounced at high levels of digital economy development. Again, in terms of curbing climate warming, the carbon reduction effects of the digital economy and renewable energy have been confirmed by many studies (Chen, 2021;Shang et al, 2022), especially in the context of climate warming and the recent signing of the Glasgow Climate Convention.…”
Section: Literature Reviewmentioning
confidence: 99%
“…where, for đť‘– = đť‘› observations: 𝑦 dependent variable x explanatory variables β y-intercept (constant term) β slope coefficients for each explanatory variable ϵ the model's error term (also known as the residuals) To avoid the adverse effects of autocorrelation [40], multicollinearity [41], heteroscedasticity, and the size of outliers [42] on the objectivity of the obtained statistical results, tests were carried out on the assumptions of the quality of the used models [39]. The Durbin-Watson test was used, the test on variance inflation factor studied the coefficients, and the graphical analysis was produced.…”
Section: Data and Foundation For The Regression Analysismentioning
confidence: 99%
“…Qu and Hao [ 22 ] investigated how the internet economy may help China's energy poverty issue. The empirical results show that digital innovation contributes significantly to the decrease of energy poverty.…”
Section: Introductionmentioning
confidence: 99%