2022
DOI: 10.3389/fpubh.2022.849946
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“Does Institutional Quality, Natural Resources, Globalization, and Renewable Energy Contribute to Environmental Pollution in China? Role of Financialization”

Abstract: Our study explores the impact of financialization on carbon emissions by utilizing diverse financialization proxies, particularly for China. We examine the impact of financialization, institutional quality, globalization, natural resources, trade openness, and renewable and nonrenewable energy consumption on environmental pollution over the period 1996–2017 by utilizing dynamic autoregressive distributed lag (ARDL) simulations. The empirical findings of the study indicate that institutional quality, trade, glo… Show more

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Cited by 11 publications
(6 citation statements)
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“…Although, we can utilize various techniques such as Time Series-ARDL, dynamic ARDL simulations technique, as well as DOLS, CCR, and FMOLS methods. These methods have been previously employed by Ameer et al [21] Amin et al [22], Ameer et al [23], Yu et al [24], and Xiu et al [25] in their empirical studies using time series data from a single country. But the choice of NARDL model was explained by the objective of the study and the model allow us to decompose explanatory variables into positive and negative partial sum, this help in examining the asymmetric effect of either on the dependent variable.…”
Section: Non-linear Autoregressive Distributed Lag Model (Nardl)mentioning
confidence: 99%
“…Although, we can utilize various techniques such as Time Series-ARDL, dynamic ARDL simulations technique, as well as DOLS, CCR, and FMOLS methods. These methods have been previously employed by Ameer et al [21] Amin et al [22], Ameer et al [23], Yu et al [24], and Xiu et al [25] in their empirical studies using time series data from a single country. But the choice of NARDL model was explained by the objective of the study and the model allow us to decompose explanatory variables into positive and negative partial sum, this help in examining the asymmetric effect of either on the dependent variable.…”
Section: Non-linear Autoregressive Distributed Lag Model (Nardl)mentioning
confidence: 99%
“…He revealed that institutional quality is vital in the chosen nations for improving economic development and concurrently lowering CO 2 emissions. Similarly, taking China as a case study, Ameer et al ( 49 ) showed that institutional quality significantly decreases carbon emissions. In contrast, Azam et al ( 50 ) have taken 66 developing nations as a case study to demonstrate that institutional quality enhances energy consumption and thus increases environmental degradation.…”
Section: Literature Reviewsmentioning
confidence: 99%
“…Advancements in financial development are critical to reducing environmental degradation Scholars suggest that encouraging financial development benefits firms by removing credit constraints and encouraging investment in environmentally friendly advanced technology Atsu et al (2021) The absence of environmental policies in financial institutions has resulted in increased CO2 emissions Ameer et al (2022) According to the studies, financial development, energy consumption, and urbanization are the key drivers of environmental degradation Sharif and Raza (2016) Tamazian et al (2009) Kasman and Duman (2015) Omri et al (2015). However, Jalil and Feridun (2011) Baydoun and Aga (2021) Shahbaz et al (2012) found that financial development reduces energy use and environmental degradation.…”
Section: Financial Development and Environmental Degradationmentioning
confidence: 99%