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This study aims to fill the gap in existing studies that have analyzed the drivers of carbon dioxide (CO₂) emissions. The author investigate the long-run effects of energy types, urbanization, financial development and, the interaction between urbanization and financial development on CO₂ emissions.

Stochastic impacts by regression on population, affluence and technology model served as the framework for empirical modeling. Using annual time-series data for Tunisia, autoregressive distributed lag bounds test was used to examine the cointegration of the variables. Also, the fully modified ordinary least squares was used to estimate the emission effect of the explanatory variables. Further investigations were done using the principal component analysis and variance decomposition analysis.

Income, urbanization, trade and financial development exert upward pressure on CO2 emissions. However, the interaction between urbanization and financial development reduces the emission of CO2. Furthermore, primary energy use, energy intensity, electricity consumption and fossil fuel consumption have positive effects on carbon emission, while combustible renewables and waste, and electricity production from natural gas have negative effects on carbon emission.

The policy implication/recommendation indicates that the financial sector’s authorities can combat carbon emission by properly regulating the development and activities of the financial sector in urban areas in Tunisia. The promotion of the development and usage of cleaner energy is recommended to help reduce carbon emission. Policymakers need to promote environmentally friendly economic growth and development agenda.

The contribution of this study to the environmental degradation literature is that it offers evidence from Tunisia, which has not received much empirical attention. It also examines the effect of various forms of energy usage on carbon emission. To the best of the author’s knowledge, this is the first study to examine the interaction effect between urbanization and financial development on carbon emission. Also, if not the first, this study is among the earliest to use the principal component analysis as a part of the prediction of the carbon emission effect of energy variables.

Even though many studies have attempted to understand the drivers of carbon dioxide emission and energy consumption to help tackle environmental issues, not much has been done to estimate the effect of natural resources extraction on these two variables. This paper aims to analyze the long-run and short-run carbon dioxide emission and energy consumption effect of natural resources extraction in Ghana.

The theoretical foundation for this study is the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model. Secondary Data sourced from World Development Indicators (2018) for the period of 1971-2013 were used. Estimation was done by using the autoregressive distributed lag.

It was found among other things that urbanization, and extraction of natural resources contribute to Ghana’s carbon dioxide emission, while official development assistance helps in reducing carbon dioxide emission in the long run. Again, while income and extraction of natural resources increase energy consumption, urbanization and official development assistance reduce environmental degradation in the long run. Regarding the short run, income and urbanization both increase energy consumption and carbon dioxide emission; trade openness and official development assistance decrease both carbon dioxide emission and energy consumption.

The implications from the results include the need to strictly enforce laws regulating extractive activities in the country to ensure a safe environment; and also to raise tariff and non-tariff barriers on products that do not promote a friendly environment and vice versa.

The effect of natural resources extraction on carbon emission and energy consumption is examined.

Owing to the adverse effect of carbon dioxide emission, there have been calls for economies to rely on (cleaner) renewable energy. Although empirical studies on the subject matter abound the conflicting outcome, the less attention paid to combustible renewable and waste, and the little empirical evidence of the effect of financial development and industrialization on renewable energy consumption necessitate further studies. This study aims to examine the drivers of renewable energy consumption for Ghana whose share of renewable energy consumption in the total energy consumption has been reducing over the past decade, with fossil fuel consumption remaining high.

Based on the demand theory and empirical studies, the paper models total renewable energy consumption and combustible renewables and waste as a function of income, price, financial development and industrialization. Regression and variance decomposition techniques were used to analyze the data.

Ghana’s renewable energy consumption is positively influenced by industrialization, but negatively influenced by price, income and financial development in the long run, while in the short run, industrialization and financial development affect renewable energy consumption.

The findings imply that the transition to cleaner energy is not a matter of income level alone. Future research should investigate the drivers of other renewable energy consumption and the possible challenges to green finance in Ghana’s financial sector.

The effect of financial development and industrialization on renewable energy consumption is examined. Previous econometric analyses have also focused on total renewable energy, but this study adds combustible renewable and waste to the analysis.

The rise in public debt and the increased extraction of natural resources in Ghana at a time that environmental degradation is escalating, especially with carbon dioxide emission, is worrying. This seems to cast doubt on the country's ability to meet the goals of the Paris agreement for climate change and ensuring sustainable development. Consequently, in this study, the effect of natural resources extraction and government debt on carbon dioxide emission is investigated.

The Environmental Kuznets Curve (EKC) hypothesis was adopted for this study. The Fully Modified Ordinary Least Square Model was used for assessing the data. An annual data from 1971 to 2018 was used for the analysis.

The long-run results based on the Fully Modified Ordinary Least Square analysis reveal that natural resources extraction increases carbon dioxide emissions. Moreover, the joint effect of post-oil production in commercial quantities and natural resources rent increases carbon dioxide emission. Further, the findings document that the initial stage of government debt improves environmental quality up to a point, beyond which an increase in debt hurts the environment. On the environmental degrading effect of economic growth, the findings validate the Environmental Kuznets Curve hypothesis. It is also observed that urbanization degrades environmental quality.

The study offers appropriate recommendations policymakers need to embrace towards the attainment of lower carbon emissions from the loans and natural resources rent to achieve environmental sustainability.

The effect of debt on carbon dioxide emission is assessed for the Ghanaian economy. It also contributes to studies on the natural resources-carbon emission nexus.

The study examines the effect of natural resources (NRs) and the control of corruption, voice and accountability and regulatory quality on carbon emissions in Africa. Aside from their individual effects, the moderation effect of institutional quality is assessed.

Data from 32 African countries from 2002 to 2021 and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) regression methods were used for the investigation.

In the long term, the NRs effect is sensitive to the estimation technique employed. However, quality regulatory framework, robust corruption control and voice and accountability abate any positive effect of NRs on carbon emissions. Institutional quality can be argued to moderate the CO2-emitting potentials of resource extraction in the selected African countries.

Enhancing regulation quality, enforcing corruption control and empowering citizens towards greater participation in governance and demanding accountability are essential catalyst to effectively mitigate CO2 emissions resulting from NRs.

The moderation effect of control of corruption, voice and accountability and regulatory quality on the NR–carbon emission nexus is examined.

The desire for a sustainable environment has led to the need to reduce carbon dioxide emissions and increase renewable energy usage. Empirical evidence generally shows that financial development has a significant effect on these two variables. However, little is known about how the financial strength of financial institutions influences them in the fight against climate change. This study aims to assess the effect of the financial strength of listed financial institutions on renewable energy consumption and carbon dioxide emissions in Ghana.

Regression analyses were used to estimate the effect of asset quality, credit management, return on equity/asset and firm size on renewable energy consumption and carbon dioxide emissions for data covering from 2009 to 2018.

The results revealed that return on equity reduces renewable energy consumption and increases carbon dioxide emissions. It is also found that credit risk management and asset quality positively influence renewable energy consumption but reduce carbon dioxide emissions in Ghana.

Policymakers need to identify profitable but less polluting ventures and draw the attention of financial institutions in the country. This may cause banks and other lending-giving institutions to desist from giving credits to support environmentally harmful ventures.

The paper assessed the effect that the financial strength of financial institutions has on renewable energy consumption and carbon dioxide emissions.

The International Energy Agency states that the global energy intensity must reduce by 2.9% yearly before attaining Sustainable Development Goal 7.3 by 2030. However, the European Union (EU) seeking to attain a climate-neutral EU by 2050 shall require a substantial rate of reducing energy intensity. Consequently, this study aims to investigate how (clean) renewable energy, income, trade openness, technological innovation and nonrenewable energy consumption impact energy intensity for the EU countries.

The quantile regression, augmented mean group and causality techniques were used for analyses. Panel data for 26 EU nations over the 1990 and 2019 period was used.

The empirical evidence indicates that the variables have long-run equilibrium relationships. However, the analysis revealed that clean energy and income reduce energy intensity whiles trade, technological innovation and nonrenewable energy consumption increase energy intensity. An interactive term analysis shows that renewable energy and trade interact to reduce further, the negative effect of income on energy intensity. Causality results revealed a feedback connection between energy intensity and clean energy, income, trade liberalization as well as the interaction between income and trade liberalization. A one-way causality was obtained between energy intensity and technological innovation, nonrenewable energy consumption and the interaction between clean energy and income.

The results imply that EU countries stand to gain if more resources are committed to encouraging the production and consumption of cleaner/renewable energy. Advancement in policies that support renewable energy and facilitate green growth will help reduce energy intensity for the region. Trade policies that promote lower energy consumption should be strengthened.

The effect of renewable energy on energy intensity is assessed. The moderating impact of renewable energy and trade openness on the income–energy intensity relationship for the EU countries is examined. Moreover, this study uses the quantile estimation technique to assess the nonlinear effect of the explanatory variables on energy intensity.

Agricultural development still constitutes an integral part of Ghana's drive towards job creation, industrial development and economic growth with various growth policies placing the agricultural sector at the core. While there are likely environmental effects of agricultural activities, evidence in Ghana remains scanty. The study focused on examining, empirically, the effects of the development of the agricultural sector on carbon dioxide (CO₂) emission in Ghana.

The paper employed the Stochastic impacts by regression on population, affluence and technology (STIRPAT) framework to test for the environmental Kuznets curve (EKC) hypothesis for agriculture and carbon dioxide emission as well as the effect that the changing structure of Ghana's agricultural development has on carbon dioxide emission for the 1971–2018 period. Regression analysis, variance decomposition and causality analysis were performed.

The regression results revealed a U-shaped relationship between agricultural development and carbon emission, implying a rejection of the EKC hypothesis between the two variables. In addition, the Structural Adjustment Programme was found to positively moderate the effect agriculture has on carbon emission.

The study recommends the need for policy-makers to facilitate the large-scale adoption and use of modern technology and environmentally friendly agricultural methods.

The study is among the few works to assess the EKC hypothesis between agriculture and carbon dioxide emission in Africa. The direct and indirect effect of structural adjustment programme on carbon emission is estimated.

Carbon dioxide emission is one of the key causes of global warming and climate change. This study investigates the effects of domestic credit and manufacturing indicators on the emission of carbon dioxide in South Africa.

The paper relied on time series data from 1975 to 2014 and employed regression and variance decomposition methods to analyze the data.

In the long run, manufacturing output increases total carbon emissions and emissions from solid fuel; manufactures trade reduces carbon emissions and domestic credit reduces emissions from the manufacturing industries and construction. The long-run effect of the changing technical characteristics of the manufacturing sector is sensitive to the estimation technique used. In the short run, however, changing technical characteristics of the manufacturing sector affect the level of carbon emissions. Income increases emissions from manufacturing industries and construction and urbanization increases total carbon emissions.

Policymakers have to initiate effective policies to promote energy-efficient technologies among manufacturing firms.

The paper examines the effect of manufacturing on carbon dioxide emissions in South Africa. It also examines the possible effect of manufactures trade on carbon emissions. Moreover, the possible effect of the changing characteristics of the manufacturing sector on carbon emissions is investigated.

Attaining higher economic growth and development is among the topmost agenda for many countries. However, the process to attain such growth and development involves higher level of energy consumption and that may not spare the quality of the environment. A similar concern has been raised for Ghana as it aims to attain an upper middle-income status in the near future. The country's energy sector has however not been robust in meeting the electricity demand, leading to a recurrent power crisis. The study seeks to analyze the effect of income growth, electricity consumption and power crisis on Ghana's carbon dioxide (CO₂) emissions.

The paper relies on annual time series data from the World Bank (2020) and employs the autoregressive distributed lag (ARDL) and fully modified ordinary least square (FMOLS) estimation techniques for regression analysis.

The results showed that the environmental Kuznets curve (EKC) hypothesis is valid for Ghana in the case of carbon emissions. Also, while electricity consumption has an insignificant effect on carbon emissions, electricity power crisis exerts a positive effect on emission of CO₂. It was also noted that industrialization and financial development increase CO₂ emissions.

Policy implications from the study include the EKC hypothesis can be a sound basis for environmental policy in Ghana. Other recommendations and areas for future research have been provided.

The study empirically estimates the effect of electricity crisis on CO₂ emissions.