Appraisal of CO2 emission in Tunisia's industrial sector: a dynamic vector autoregression method

An assessment of the influence of clean energy and service development on environmental degradation: evidence for a non-linear ARDL approach for Tunisia

This paper investigates the nexus among renewable energy consumption, carbon dioxide emissions, economic development, and service growth in Tunisia under the linear and non-linear autoregressive distributed lags techniques and the Granger causality tests, for the 1980-2020 period. The empirical linear findings proved that renewable energy and service growth positively affect carbon emissions in the long term. The non-linear findings proved that a negative energy shock positively influences environmental quality in the long term. More prominently, in the long run, unilateral causalities from all the modeled variables to carbon emissions have been revealed. To mitigate climate change and get the economy back on track for more prosperity, the Tunisian government must develop an efficient strategy friendly to the environment and further explore the relationship between new technologies and renewable energy. Indeed, we propose to policymakers to encourage and promote the use of innovative clean technologies in the production of renewable energy.

Do financial development and renewable energy shocks matter for environmental quality: evidence from top 10 emitting emissions countries

Creating a reliable energy supply, ecological quality, and economic development has become a global effort. Finance is at the center stage ecological transition to low-carbon emission. Against this backdrop, the present work analyses the impact of the financial sector on CO₂ emissions using data from the top 10 emitting emissions economies from 1990 to 2018. Using the novel method of moments quantile regression, the findings illustrate that renewable energy usage enhances ecological quality while economic growth lowers it. The results also affirm that financial development is positively linked with carbon emission in the top 10 emitting emissions economies. These results can be explained by the fact that financial development facilities offer low borrowing rates with less restrictions for environmental sustainability projects. The empirical findings of this study highlight the necessity for policies that boost the proportion of clean energy consumption in the top 10 polluting nations' overall energy mix to reduce carbon emissions. It follows that the financial sectors in these nations must invest in cutting-edge energy-efficient technology and clean, green, and environmentally friendly initiatives. This trend will increase productivity, improve energy efficiency, and reduce pollution.

Nexus between energy consumption and carbon dioxide emission: evidence from 10 highest fossil fuel and 10 highest renewable energy-using economies

The world, addressing to achieve rapid and drastic economic growth by relying on fossil fuel energy consumption, could increase already increasing level of carbon dioxide (CO₂). Therefore, there is a growing consensus that environmental sustainability by using renewable energy is the only option to avoid environmental calamity. Therefore, according to the authors' best knowledge, this is the first work to look into the short and long-run nexus between economic growth, trade openness, renewable and fossil fuel energy consumption, along with gross capital formation, population growth, and life expectancy as additional variables in top 10 highest renewable energy-using (TRU) economies and top 10 highest fossil fuel-using (TFU) economies from 1991 to 2020, by employing advanced panel data econometric approach. After demonstrating cross-sectional dependency in panel data, the Westerlund cointegration test verifies the long-term link between the variables. A cross-sectional autoregressive distributed lag (CS-ARDL) econometric technique is used to show short- and long-run coefficient values. CS-ARDL estimates confirm that the economic growth, fossil fuel energy, trade openness, and gross capital formation increase carbon dioxide (CO₂) emissions levels in the short run for TRU and FEU economies, except for gross capital formation for FEU economies. However, economic growth adds to CO₂ emissions for only TRU economies, while fossil fuel energy consumption enhances CO₂ emissions for both groups of economies in the long run. On the contrary, renewable energy reduces CO₂ emissions in the short and long run, while human capital in only the short run. The inferences of this study present new intuitions and urge governments and policymakers to develop a reliable mechanism for investing capital to diversify the energy portfolio through the energy transition process to attain sustainable economic growth and promote awareness campaigns to draw the attention of human capital to environmentally friendly, clean, and green energy sources. Overall, the results recommended energy efficiency usage and ecological friendly innovative technologies to enhance and protect environmental quality.