Ecological footprint, public-private partnership investment in energy, and financial development in Brazil: a gradual shift causality approach.

The present study assesses the effect of public-private partnerships in energy and financial development on Brazil's ecological footprint and also takes into account the role of renewable energy and economic growth using data spanning from 1983 to 2017. The study utilized several techniques including autoregressive distributive lag (ARDL) and dynamic ordinary least square (DOLS) to examine the relationship between ecological footprint and the determinants, while the gradual shift causality test was utilized to capture the causal linkage between the series in the presence of a single structural break. The outcomes of the Maki co-integration test revealed evidence of a long-run association among the variables of interest. Furthermore, the results of the ARDL and DOLS tests revealed that economic growth and public and private investment in energy increase environmental degradation, while it is mitigated by both renewable energy and financial development. Moreover, the gradual shift causality test revealed a bidirectional causal linkage between ecological footprint and economic growth. The present study recommends the establishment of a forum that will foster public and private partnerships to enhance communication, which will promote collaboration on new initiatives involving green technological innovations.

The asymmetric effects of renewable energy consumption and trade openness on carbon emissions in Sweden: new evidence from quantile-on-quantile regression approach.

With the passage of time, the continued burning of fossil fuels is proving to be one of the world's most serious issues. In response, the current research aims to assess the critical linkage between carbon emissions and renewable energy, trade openness, and economic growth in Sweden utilizing a dataset from 1965 to 2019. The study applied the novel quantile-on-quantile regression (QQ) approach to assess this relationship. The main objectives are to address the following questions: (i) What are the effects of trade openness on CO2 emissions in each quantile? (ii) Does renewable energy consumption mitigates CO2 emissions in each quantile? What is the impact of economic growth on CO2 emissions in each quantile? The outcomes from the QQ approach revealed that at low and medium quantiles (0.1-0.6), the effect of trade openness on CO2 emissions is negative. Furthermore, at lower and higher quantiles (0.1-0.90) of combination of renewable energy consumption and CO2 emissions, the effect of renewable energy consumption on CO2 emissions is negative. Finally, at majority of the quantiles, the effect of economic growth on CO2 emissions is negative. Moreover, the present study applied the quantile regression (QR) approach as a robustness check. The findings of the QR validate the findings of the QQR approach. The study proposes that policy-makers in Sweden should place greater emphasis on raising public awareness regarding the issues of renewable energy since it mitigates environmental degradation.

Mitigating human-induced emissions in Argentina: role of renewables, income, globalization, and financial development.

Achieving environmental sustainability has become a global initiative while addressing climate change and its effects. However, the role of energy production and consumption in economic development remains critical amidst environmental pollution. Thus, the need for innovation and clean energy alternatives is critical while pursuing sustainable development. This country-specific study focuses on Argentina, where economic growth trajectory is embedded with high CO2 emissions. This study assesses the long-term and causal impact of financial development and renewables on environmental pollution while accounting for the role of economic development and globalization using yearly data spanning 1980 to 2017. A battery of econometric methods is applied to underscore the interaction between the parameters of interest. The findings of Maki and ARDL tests of cointegration alongside Kripfganz and Schneider critical approximation p-values affirm long-run equilibrium interaction between variables. The outcomes of autoregressive distributed lag, fully modified, and dynamic ordinary least squares demonstrate that while economic expansion dampens environmental quality-globalization and renewables improve the environment. This finding suggests pollution-driven economic growth trajectory in Argentina with high dependence on fossil fuels. Besides, the gradual shift causality test finds evidence of one-way causality from renewable energy consumption, economic growth, and globalization to CO2 emissions. Argentina's pathway in achieving sustainable development requires gradual and inclusive economic shift towards green growth.

The environmental sustainability effects of financial development and urbanization in Latin American countries.

The present study assesses the impact of urbanization, economic growth, energy consumption, and financial development on CO2 emissions in Latin American countries using a dataset spanning between 1980 and 2017. The current paper employs utilized panel econometric techniques such as CIDF, panel unit test, the Westerlund panel cointegration, fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and Dumitrescu Hurlin panel causality test to assess these associations. The outcomes from the FMOLS and DOLS estimation reveal that (i) economic growth impacts CO2 emissions positively, (ii) energy consumption exerts a positive impact on CO2 emissions, and (iii) urbanization impacts CO2 emissions positively. Furthermore, the outcomes of the causality test reveal that energy consumption and economic growth can predict CO2 emissions in Latin countries. The findings highlight the importance of policymakers actively coordinating strategies to address Latin America's severe environmental degradation.

Economic performance of Indonesia amidst CO2 emissions and agriculture: a time series analysis.

To minimize the awful situation confronting the entire globe, the global warming danger has raised the intensity of consciousness from all areas of life. Therefore, the research assesses the impact of CO2 emissions and energy use on economic performance and considers trade openness, urbanization, and agriculture in Indonesia utilizing data covering the period from 1965 to 2019. The current research employed the dynamic ordinary least square (DOLS) and autoregressive distributed lag (ARDL) tests to capture the long-run association between these economic indicators. Furthermore, the gradual shift and wavelet coherence tests are utilized to capture the direction of causality. The ARDL bound test discloses a long-run interconnection among the variables of interest. The outcomes of the ARDL and DOLS depict that CO2 emissions, agriculture, energy use, and urbanization trigger economic growth. Moreover, the wavelet coherence test findings revealed a positive correlation between economic growth and urbanization, CO2 emissions, agriculture, and energy consumption. Furthermore, there is evidence of a weak and positive correlation between economic growth and trade openness. The gradual shift causality test outcomes disclosed that economic growth can predict urbanization and energy consumption, while agriculture can predict economic growth. These outcomes have far-reaching significance for economic growth and the selected variables in Indonesia.

Can CO2 emissions and energy consumption determine the economic performance of South Korea? A time series analysis.

Following the United Nations Sustainable Development Goals (UN-SDGs), which place emphasis on relevant concerns that encompass access to energy (SDG-7) and sustainable development (SDG-8), this research intends to re-examine the relationship between urbanization, CO2 emissions, gross capital formation, energy use, and economic growth in South Korea, which has not yet been assessed using recent econometric techniques, based on data covering the period between 1965 and 2019. The present study utilized the autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least squares (FMOLS) methods, while the gradual shift and wavelet coherence techniques are utilized to determine the direction of the causality. The ARDL bounds test reveals a long-run linkage between the variables of interest. Empirical evidence shows that CO2 emissions trigger economic growth. Thus, based on increasing environmental awareness across the globe, it is necessary to change the energy mix in South Korea to renewables to enable the use of sustainable energy sources and establish an environmentally sustainable ecosystem. Moreover, the energy-induced growth hypothesis is validated. This result is supported by the causality analysis, which shows a one-way causality running from energy consumption to GDP in South Korea. This suggests that South Korea cannot embark on conservative energy policies, as such actions will damage economic progress. Additionally, a unidirectional causality is seen from CO2 emissions and energy consumption to economic growth. These findings have far-reaching consequences for GDP growth and macroeconomic indicators in South Korea.

Modeling CO2 emissions in Malaysia: an application of Maki cointegration and wavelet coherence tests.

One of humanity's most significant problems in the twenty-first century revolves around how to balance the mitigation of environmental pollution while achieving sustainable economic development. Despite increased awareness and dedication to climate change, the planet is still seeing a drastic decrease in the volume of pollutant emissions. This study explores the long-run and causal impact of economic growth, financial development, urbanization, and gross capital formation on Malaysia's CO2 emissions based on the STIRPAT framework. The current paper employs recently developed econometric techniques such as Maki co-integration, auto-regressive distribution lag (ARDL), fully modified OLS (FMOLS), dynamic ordinary least square (DOLS), and wavelet coherence and gradual shift causality tests to investigate these interconnections. The advantage of the gradual shift causality test is that it can capture the causality in the presence of a structural break(s). The findings from the Maki co-integration and ARDL bounds tests reveal evidence of cointegration among the variables. The ARDL test reveals that economic growth, gross capital formation, and urbanization exert a positive impact on CO2 emissions. Furthermore, the wavelet coherence test reveals that there is a significant dependency between CO2 emissions and economic growth, gross capital formation, and urbanization. The Toda Yamamoto and Gradual shift causality tests reveal that there is a (a) unidirectional causality from urbanization to CO2 emissions, (b) unidirectional causality from economic growth to CO2 emissions, and (c) unidirectional causality from gross capital formation to CO2 emissions.