The nexus between renewable energy, environmental pollution, and economic growth across BRICS and OECD countries: A comparative empirical study

Addis, Amsalu K.; Cheng, Shixiong

doi:10.1016/j.egyr.2023.10.038

Cited by 10 publications

(3 citation statements)

References 80 publications

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“…Merlin & Chen, 2021). On the other hand, the DOLS approach uses parametric techniques to remove issues caused by the explanatory variables' leads and lags (Addis & Cheng, 2023;Merlin & Chen, 2021). Additionally, the DOLS technique also imposes additional requirements that all variables be integrated in the same order and yields accurate estimates.…”

Section: Panel Cointegration Testsmentioning

confidence: 99%

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Unlocking the Dynamic Impact of Economic and Non-Economic Factors on Tourism Demand in BRICS Economies

Alam,

Hussain,

Kiran

2024

Preprint

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In recent decades, economic and non-economic factors have significantly shaped tourism demand, affirming attention from researchers and policymakers. This study employs advanced econometrics techniques, including cross-sectional dependency, slope homogeneity, unit root, cointegration and long-run estimation, to explore the impact of economic determinants (world GDP per capita, exchange rate, interest rate, and relative price) and non-economic factors (political stability and climate change) on tourism demand in BRICS economies from 1996 to 2022. Findings indicate that exchange rates, interest rates, political stability, and world GDP per capita positively influence tourism demand, while climate change and relative price negatively impact it. Moreover, bidirectional causality exists between world GDP per capita and tourism demand, and one-way causation is observed for exchange rate, relative price, and political stability. In conclusion, the economic determinants significantly impact tourism demand more than non-economic factors. The study provides policy guidelines for enhancing tourism demand.

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Section: Panel Cointegration Testsmentioning

confidence: 99%

“…It is also more effective for small sample sizes. Above all, the DOLS approach can deal with data heterogeneity and cross-sectional dependence (CD) (Addis & Cheng, 2023). Results could be biased if the CD problem is not addressed.…”

Section: Panel Cointegration Testsmentioning

confidence: 99%

Unlocking the Dynamic Impact of Economic and Non-Economic Factors on Tourism Demand in BRICS Economies

Alam,

Hussain,

Kiran

2024

Preprint

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“…We executed two estimation techniques: (i) a fixedeffect ordinary least squares (OLS) estimator and (ii) the feasible generalized least squares (FGLS) estimator with heteroscedastic adjusted panels, taking note of the dataset's short panels. The OLS estimator is unable to handle heteroscedasticity and has an unorthodox distribution of OLS estimations (Addis and Cheng 2023;Ugrinowitsch et al 2004). Hence, OLS results were cross-checked with the estimates of the FGLS estimator.…”

Section: Model Specificationmentioning

confidence: 99%

Empirical Analysis of the Effect of Institutional Governance Indicators on Climate Financing

Lubinga,

Mazenda

2024

Economies

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Sustainable Development Goal 13 echoes the fact that all countries must make urgent and stringent efforts to mitigate against and adapt to climate change and its associated impacts. Climate financing is one of the key mechanisms used to enable countries to remain resilient to the hastening effects of climate change. In this paper, we empirically assess the effect of institutional governance indicators on the amount of climate finance received by 21 nations for which progress towards the internationally agreed-upon target of reducing global warming to 1.5 °C is tracked. We use the fixed-effects ordinary least squares (OLS) and the feasible generalized least squares (FGLS) estimators, drawing on the Climate Action Tracker panel data from 2002 to 2020. Empirical results reveal that perceived political stability significantly enhanced climate finance inflows among countries that strongly increased their NDC targets, while perceived deterioration in corruption control negatively impacted the amount of climate finance received by the same group of countries. Therefore, governments should reduce corruption tendencies while striving to avoid practices and alliances that lead to any form of violence, including terrorism and civil war. Low developing countries (LDCs) in particular need to improve the standard of public services provided to the populace while maintaining a respectable level of autonomy from political influences. Above all, as countries work towards strengthening institutional governance, there is an urgent need for developed economies to assist developing economies in overcoming debt stress since the likelihood of future resilience and prosperity is being undermined by the debt crisis, with developing countries spending almost five times as much annually on repayment of debt as they allocate to climate adaptation.

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Digital technology innovation and corporate resilience

Zhang,

Chen

2024

Global Finance Journal

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The nexus between renewable energy, environmental pollution, and economic growth across BRICS and OECD countries: A comparative empirical study

Cited by 10 publications

References 80 publications

Unlocking the Dynamic Impact of Economic and Non-Economic Factors on Tourism Demand in BRICS Economies

Unlocking the Dynamic Impact of Economic and Non-Economic Factors on Tourism Demand in BRICS Economies

Empirical Analysis of the Effect of Institutional Governance Indicators on Climate Financing

Digital technology innovation and corporate resilience

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