Mitigating energy production-based carbon dioxide emissions in Argentina: the roles of renewable energy and economic globalization

Renewable energy electricity, environmental taxes, and sustainable development: empirical evidence from E7 economies

Since globalization has increased both production and population, it has also increased environmental damage. This is why the development of renewable energy sources is crucial to the survival of humanity and the planet itself. Business patterns across the various nations, however, have changed significantly over time. This study examines how environmental taxes and renewable energy electricity affect renewable energy consumption in emerging seven economies by using panel dataset over the period of 1990 to 2020. Control variables include economic growth, carbon emissions, and environmental innovation. The results confirmed the presence of the long-run co-integration association, the existence of slope coefficient heterogeneity, and the dependency of cross sections using several panel data methods. Since the data was not normally distributed, a new technique known as method of moments quantile regression (MMQR) was applied in this study. The projected results contend that the major factors of renewable energy consumption are renewable energy output, environmental taxation, economic growth, and carbon emissions. However, eco-friendly innovations drastically cut back on the need for renewable energy. Bootstrap quantile regression verifies the results' reliability, and the panel Granger causality test corroborates that the listed factors have a bidirectional causal relationship with renewable energy usage. Furthermore, this research recommends boosting spending on renewable electricity, the environmental tax sector, and ecological innovation in order to expand the use of renewable energy.

How are electricity generation effective on carbon neutrality in the global south? Evidence from sectoral CO2 emissions by daily data

In light of the efforts to ensure carbon neutrality by combating climate-related problems, the study investigates the effectiveness of electricity generation (EG) from the main renewable sources (hydro-HEG, solar-SEG, and wind-WEG). In this context, the study examines the countries of the Global South (i.e., Brazil, China, and India), considers EG at a disaggregated level and sectoral CO2 emissions, applies nonlinear methods, and uses daily data between January 2, 2019 and December 31, 2022. The results demonstrate that (i) disaggregated EG sources have a stronger (weaker) time and frequency dependency on sectoral CO2 emissions in China (Brazil and India); (ii) HEG has a stimulating impact on sectoral CO2 emissions in all countries; (iii) SEG has an increasing impact on sectoral CO2 emissions in Brazil and China, while it provides a decrease in sectoral CO2 emissions in India; (iv) WEG upsurges sectoral CO2 emissions in China, while it achieves a CO2 reduction in Brazil and India; (v) disaggregated level EG has a causal impact on sectoral CO2 emissions across all quantiles except some lower, middle, and higher quantiles. The study adds scientific value to existing knowledge by analyzing for the first time which EG sources are effective in reducing daily CO2 emissions in the Global South. Based on the outcomes, the study demonstrates that WEG is the best EG source for Brazil, that SEG and WEG are optimal EG sources for India, and that China cannot benefit from the EG sources considered. In this way, the study provides fresh insights for the countries of the Global South and underlines the crucial role of renewable EG in ensuring carbon neutrality.

Linkages between ICT diffusion, renewable energy consumption, and carbon emissions: a comparative analysis of SAARC, MENA, and OECD countries

This paper examines the linkages between information and communication technology (ICT) diffusion, renewable energy consumption (REC), and carbon (CO2) emissions across three distinct regions: the South Asian Association for Regional Cooperation (SAARC), Middle East and North Africa (MENA), and Organization for Economic Cooperation and Development (OECD) nations. We explore the causal pathways linking these variables and perform a comparative assessment of region-specific patterns with their policy implications. Utilizing a panel dataset of 28 countries from 1998 to 2019, we employ panel ARDL, FMOLS, DOLS, and D-H causality tests. The comprehensive analysis of the sample reveals that ICT development enhances CO2 emissions, whereas REC reduces emissions. However, the comparative analysis suggests a positive linkage between ICT diffusion and CO2 emissions in MENA and OECD countries but a negative linkage in SAARC countries. Further, REC substantially reduces emissions in MENA and OECD countries but has an insignificant effect in SAARC countries. Our findings corroborate the first-order effect of ICT (negative environmental impact) in MENA and OECD countries, with contextual variations attributed to economic structure, financial sector growth, trade openness, and industrialization. These findings offer pivotal insights for policymakers to leverage ICT capabilities and REC to attain sustainable development and mitigate climate change consequences.

Repercussions of Hydroelectricity use on Carbon Emissions in Bangladesh: Evidence using Novel Fourier-Bootstrapped ARDL and Fourier-Gradual Shift Causality analyses

Bangladesh has recently pledged at the 26th Conference of Parties (COP26) to reduce its carbon dioxide emission figures by 22% at the end of 2030. However, since this South Asian country has always turned to fossil fuels for electricity generation purposes, achieving this emission reduction goal is a challenging task for the Bangladesh government. Nevertheless, considering the negative environmental implications associated with the generation and consumption of unclean energy, particularly electricity, it is critically important for Bangladesh to expedite the process of clean transformation of its traditional pollution-intensive power system. Hence, the objective of this study is to dissect the repercussions of hydroelectricity use on Bangladesh's fossil fuel consumption-related carbon dioxide As opposed to the traditional method of quantifying environmental quality using total carbon dioxide emissions, this study considers Bangladesh's annual carbon dioxide emissions generated from the combustion of gas, oil, and coal. Besides, novel Fourier-based econometric methods that effectively handle structural break problems in data are utilized in this study. Based on the results, it is found that up-scaling hydroelectricity consumption levels exert emission-inhibiting effects while greater economic globalization activities are witnessed to boost the emissions. More importantly, hydroelectricity consumption and economic globalization are observed to jointly curb fossil fuel consumption-based emissions of carbon dioxide. Additionally, the results verify the environmental Kuznets curve hypothesis for Bangladesh. Furthermore, financial sector development is found to be effective in reducing the natural gas consumption-related carbon dioxide emissions while urbanization is held responsible for amplifying emissions generated from all three types of fossil fuels. Therefore, considering these findings, the Bangladesh government needs to particularly emphasize scaling up production and consumption of hydroelectricity to decarbonize its economy.

The mediating role of renewable energy, sectoral output and economic growth on greenhouse gas emissions: African regional perspective

Global greenhouse gas emissions are increasing when they should be progressively reducing, given worldwide concerted emissions mitigation efforts and protocols. To effectively tackle emissions to foster a sustainable climate, the situation's complexity needs a sector- and region-specific approach, not a one-stop analysis. We must first understand where the emissions originate-which sectors contribute the most to them. This study employs a panel multiregional framework with advanced econometric techniques accounting for cross-sectional dependence and heterogeneous slope coefficients to analyse GHG emissions (CO2 and CH4), sectoral output, economic growth and renewable energy dynamics across African regions from 2010 to 2019. The empirical findings are as follows: First, regional impacts of the economic sectors vary substantially, reflecting technological and socioeconomic differences leading to heterogeneous environmental patterns in the short and long term. Second, the estimated EKC turning points are uniformly lower, indicating slower environmental impact growth with sectoral development in African regions. Third, trade and urbanization are critical drivers of emissions in most regions and economic sectors, with a more pervasive impact on CO2 emissions than CH4 emissions. Finally, sectoral output imposes differential indirect CO2 and CH4 emissions effects via renewable energy, with East African manufacturing exhibiting the most significant emissions-reduction impact. Disaggregated, regional, and sectoral-specific strategies are recommended for designing green development pathways policies.

How natural resources depletion, technological innovation, and globalization impact the environmental degradation in East and South Asian regions

Rapid economic expansion has caused resource depletion, globalization issues, and environmental deterioration. Globalization has highlighted East and South Asian mineral richness. This article investigates the effects of technological innovation (TI), natural resources, globalization, and renewable energy consumption (REC) on environmental deterioration in the East and South Asian region from 1990 to 2021. The cross-sectional autoregressive distributed lag (CS-ARDL) estimator is used to estimate short- and long-run slope parameters and dependencies across countries. The results demonstrate that many natural resources significantly enhance environmental degradation, while globalization, TI, and REC reduce emission levels in East and South Asian economies and that economic growth significantly degrades ecological quality. This research suggests that governments in the East and South Asian region develop suitable policies that promote the efficient use of natural resources via technological advancements. Furthermore, future policies regarding energy consumption, globalization, and economic development should be aligned with the aims of sustainable environmental development.

Testing the impact of renewable energy and oil price on carbon emission intensity in China's transportation sector

As the largest carbon emitter in the world, with its transportation sector contributing the largest shares of its emission, the need for a low-carbon transition economy has become a policy agenda for China because in order to reach carbon neutrality by 2050, lowering the intensity of carbon emissions in the transportation sector will be crucial. In this regard, we used the "bootstrap autoregressive distributed lag model" to explore the impact of clean energy and oil prices on the intensity of carbon emissions in China's transportation sector. The study found that an increase in oil prices decreases the intensity of carbon emissions in the short and long run. Similarly, an increase in the level of renewable energy and economic complexity declines the intensity of carbon emissions in the transportation sector. On the contrary, the research demonstrates that non-renewable energy contributes positively to carbon emission intensity. Therefore, the authorities must promote green technology to neutralize the transportation system's detrimental effects on China's environmental quality. The implications for successfully promoting carbon emission intensity mitigation in the transportation sector are examined in the conclusion.

Offshoring the scarring causes and effects of environmental challenges faced by the advanced world: an empirical evidence

In contemplating the prospects of advanced world countries, researchers stand divided among two groups: one group crying "melting of glaciers" and the group denying global warming as a significant concern while reaping the fruits of growth. One persistent concern for the other group is much desirable economic growth at the cost of environmental degradation, which is now reaching a scale where the global climate is become not only unsustainable but also causing a significant threat to our existence. In our opinion, environmental degradation should be taken very seriously now, particularly by pointing out the necessary variables causing it so that effective policy designs are formulated. The present study also gives a brief overview of the environmental repercussions with references to technology-led growth in developed countries. We have incorporated the direct composition effect captured by the capital-labor ratio (K/L), indicating that advanced countries use environmentally friendly technology for production processes. We propose that the most vulnerable impact of economic activities on environmental degradation (measured through carbon dioxide emissions) are urbanization, trade, and energy use. The latter is probably more policy-oriented, is undoubtedly more easily measured, and could be deeply analyzed for policy formulation. Whereas, in the urban areas, emissions of carbon dioxide particulate with an increase in population and development and serve as a significant concern for global environmental sustainability.

Environmental sustainability in Vietnam: evaluating the criticality of economic globalisation, renewable energy, and natural resources

Vietnam's goal of achieving a certain level of decarbonisation by 2030 is difficult despite its awareness of the threat posed by climate change. However, the country is endowed with natural resources and the increasing dependence on the global economy coupled with greater investment in alternative energy sources are some of the factors responsible for economic expansion in recent years. Hence, the question arises "what are the environmental impacts of economic globalisation, economic growth, natural resources, and renewable energy in Vietnam?", which constitutes a major policy problem. In this study, a time series dataset stretching from 1984 to 2019 is employed to scrutinise the impact of economic globalisation, economic growth, natural resources, and renewable energy on Vietnam's CO₂ emissions. This goal is achieved by employing the ARDL bounds testing procedure, dynamic ARDL, and spectral Granger-causality test. Moreover, the outcomes from the dynamic ARDL showed that economic globalisation and economic growth lead to environmental deterioration, whereas it is mitigated by renewable energy. Lastly, the outcomes from the spectral Granger-causality test indicate that a feedback causality association exists between CO₂ emissions and the regressors, namely economic globalisation, renewable energy, and economic growth, while no causality connection exists between CO₂ emissions and natural resources. Hence, we suggest that actions for reducing emissions should involve the implementation of energy-efficient techniques and renewable technologies within the energy value chain.

Examining the nonlinear impact of human capital on environmental degradation in N-11 countries: an application of the PSTR approach

The emergence of globalization and human capital has played a crucial role in the economic integration of countries, leading to the growth of the economies and a reduction in carbon dioxide (CO₂) emissions. This study highlights the importance of investing in human capital development to control ecological degradation and promote sustainable economic growth. This paper employs the PSTR method to investigate the threshold impact of GDP, globalization, information communication technology, and energy consumption on CO₂ emissions. The study examines two regimes, with a single threshold to analyze the transition of human capital on these variables. The results reveal that human capital developments play a central role in controlling ecological degradation due to reduced CO₂ emissions. Based on the empirical findings, this research study offers corresponding policy suggestions.

Globalization, institutions, and environmental quality in Middle East and North African countries

Sustainable development has received significant attention due to rapidly rising environmental issues, and finding solutions to these issues caused by various indicators are the subject of research nowadays. To this end, the increasing globalization and institutional quality to address environmental challenges have become hot subject and need better attention. Accordingly, this study enhances the literature by examining the role of political stability, the rule of law, control of corruption, and globalization on the environment for 14 Middle Eastern and North African (MENA) countries between 1996 & 2018, applying cross-sectional augmented autoregressive distributed lags (CS-ARDL) approach. The short and long-run estimates obtained from CS-ARDL confirm that globalization, the rule of law, political stability, and corruption control significantly reduce carbon emissions (CO₂e). Contrarily, energy production, financial development, and economic growth have significant positive effects, suggesting they raise CO₂e. The study also estimates a robustness analysis with the Driscoll-Kraay estimator, confirming results on signs and magnitude identical to those with CS-ARDL. These results drive the MENA countries to adhere to environmental standards to reduce CO₂e strictly. Environmental-friendly industrial techniques should be employed, mainly while producing. The governments of these countries should facilitate the governance process through the globalization of environmental products to ensure long-term environmental sustainability.

Income, coal consumption, and the environmental Kuznets curve in Vietnam

Concerns over adverse environmental effects have been raised due to Vietnam's reliance on fossil fuels like coal. At the same time, efforts are being made to boost the usage of renewable energy while simultaneously lowering greenhouse gas emissions. This study examines whether there is an environmental Kuznets curve (EKC) relationship between gross domestic product (GDP) and coal consumption in Vietnam by controlling for renewable energy consumption and oil prices from 1984 to 2021. We adopt the autoregressive distributed lag (ARDL) framework to explore a long-run level relationship between the study variables. We find that the GDP elasticity of coal demand has been greater than one since the 1990s and about 3.5 in recent years, indicating that the coal intensity of GDP has increased with economic growth. Thus, the GDP-coal consumption relationship resembles an upward-sloping curve instead of an inverted U-shaped EKC. This relationship is robust when we use other estimation methods and account for two additional independent variables. While a 1% rise in renewable energy consumption results in a 0.4% reduction in coal consumption, the impact of oil prices on coal consumption is negative but insignificant. The findings allow us to provide policy implications for the sustainable development of Vietnam: (1) more stringent policies, for example, enacting a carbon pricing scheme, are needed to reduce coal consumption; (2) policies should be implemented to make renewable energy sources more affordable; and (3) as facing high oil prices, the country should diversify its energy mix by expanding the usage of renewable energy.

Interrelationship among environmental policy stringency, financial globalization in OECD countries, and CO2 emission with the role of technological innovation and financial development

The study examines the nexus between financial globalization (FG), environmental policy stringency (EPS), financial development (FD), and technological innovation (INV) on CO2 emission with moderating effect of technological innovation on financial development and environmental degradation in 36 OECD countries with an updated dataset from the period of 1990 to 2020 using PMG (Pooled mean group) panel ARDL method. The results of stationarity tests; (Levin, Lin, and Chu test; ADF Fisher test) demonstrate that selected variables are stationary at level I(0) and first difference I(I); this confirms that PMG estimator can be employed. Cointegration tests indicate that cointegration exist among the variables. The empirical findings of the PMG estimator indicate that financial globalization and CO2 are negatively associated with each other. While financial development, environmental policy stringency, and technological innovation have positive impact on environmental degradation in OECD countries. Furthermore, technological innovation strengthens the association between financial development (FD) and environmental degradation (CO2 emission). In order to accelerate economic growth, the study recommends that policymakers should implement environmental policies to achieve low-carbon mechanisms, such as green infrastructure and renewable energy systems, which reduce energy consumption and greenhouse gas emissions. Therefore, it is crucial that the selected OECD countries should develop programs that increase awareness of the risks of carbon emissions.

Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: Contextual evidence from India using time series forecasting tools

Stock market price prediction is considered a critically important issue for designing future investments and consumption plans. Besides, given the fact that the COVID-19 pandemic has adversely impacted stock markets worldwide, especially over the past two years, investment decisions have become more challenging for risky. Hence, we propose a two-phase framework for forecasting prices of oil, coal, and natural gas in India, both for pre-and post-COVID-19 scenarios. Notably, the Autoregressive Integrated Moving Average, Simple Exponential Smoothing, and K- Nearest Neighbor approaches are utilized for analyses using data from January 2020 to May 2022. Besides, the various outcomes from the analytical exercises are matched with root mean squared error and mean absolute and percentage errors. Overall, the empirical outcomes show that the Autoregressive Integrated Moving Average method is appropriate for predicting India's oil, coal, and natural gas prices. Moreover, the predictive precision of oil, coal, and natural gas in the pre-COVID-19 period seems to be better than in that the post-COVID-19 stage. Additionally, prices of these energy resources are forecasted to increase through the year 2025. Finally, in line with the findings, significant policy recommendations are made.

Information transmission in regional energy stock markets

Since markets are undergoing severe turbulent economic periods, this study investigates the information transmission of energy stock markets of five regions including North America, South America, Europe, Asia, and Pacific where we differentiated the regional energy markets based on their developing and developed state of economy. We employed time-frequency domain from Jan 1995 to May 2021 and found that energy stocks of developed regions are highly connected. The energy markets of North America, South America, and Europe are the net transmitters of spillovers, whereas the Asian and Pacific energy markets are the net receivers of spillovers. The results also reveal that the connectedness of regional energy markets is time and frequency dependent. Regional energy stocks were highly connected following the Asian financial crisis (AFC), global financial crisis (GFC), European debt crisis (EDC), shale oil revolution (SOR), and COVID-19 pandemic. Time-dependent results reveal that high spillovers formed during stress periods and frequency domain show the higher connectedness of regional energy stock markets in the short run followed by an extreme economic condition. These results have significant implications for policymakers, regulators, investors, and regional controlling bodies to adopt effective strategies during short run to avoid economic downturns and information distortions.

Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate

The 2030 United Nations Sustainable Development Goal (SDG) 13 agenda hinges on attaining a sustainable environment with the need to "take urgent action to combat climate change and its impacts". Hence, this study empirically revisits the debate on the effect of nonrenewable energy and globalization on carbon emissions within the framework of the Kuznets hypothesis using an unbalanced panel data from seven South Asian countries (Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka) covering 1980-2019. The variables of interest are carbon emissions measured in metric tons per capita, energy use measured as kg of oil equivalent per capita, and globalization index. To address five main objectives, we deploy four techniques: panel-corrected standard errors (PCSE), feasible generalized least squares (FGLS), quantile regression (QR), and fully modified ordinary least squares (FMOLS). For the most part, the findings reveal that the (1) inverted U-shaped energy-Kuznets curve holds; (2) U-shaped globalization-Kuznets curve is evident; (3) inverted U-shaped turning points for nonrenewable energy are 496.03 and 640.84, while for globalization are 38.83 and 39.04, respectively; (4) globalization-emission relationship indicates a U-shaped relationship at the median and 75th quantile; and (5) inverted U-shaped energy-Kuznets holds in Pakistan but a U-shaped nexus prevails in Nepal and Sri Lanka; inverted U-shaped globalization-Kuznets holds in Bangladesh and Sri Lanka, but U-shaped nexus is evident in Bhutan, Maldives, and Nepal. Deductively, our results show that South Asia countries (at early stage of development) are faced with the hazardous substance that deteriorates human health. Moreover, the non-linear square term of the nonrenewable energy-emissions relationship is negative, which validates the inverted U-shaped EKC theory. Overall, the effect of energy and globalization on carbon emissions is opposite while the consistency at the 75th quantile result indicates that countries with intense globalization are prone to environmental degradation.

Management of public and private expenditures-CO2 emissions nexus in China: do economic asymmetries matter?

Environmental sustainability is becoming a crucial objective in this modern era. To attain this objective, it is important to reduce CO2 emissions for ensuring sustainable development. This study examined the nonlinear impact of government and household expenditures on CO2 emissions in China during 1984-2019. The modified nonlinear ARDL method is used for estimates. Asymmetric empirical outcomes show that a positive and negative change in government expenditure has reduced CO2 emissions in the short and long run in China. However, the positive and negative effects of government expenditure are higher in long run than short run. Furthermore, the asymmetric model gives much more significant results than the traditional symmetric model. Similarly, a positive change in household expenditure has a positive influence on CO2 emissions in the short and long run, while a negative change in household expenditure has a negative impact on CO2 emissions in the long run. The findings of the study recommended that there is a need to promote green spending in the economy that encourages environmental sustainability.

Exploring the impact of economic growth on environmental pollution in South American countries: how does renewable energy and globalization matter?

Most emerging economies and the South American Countries are no exception to the negative consequences of trade-off between economic growth and environmental sustainability decisions. This study draws strength from the United Nations Sustainable Development Goals (UN-SDGs-7, 11, 12, and 13). Therefore, this study examines the environmental nexus between economic growth, globalization, renewable, and non-renewable energy, in South America from 1995 to 2020. We deployed the pooled mean group (PMG), mean group (MG), and dynamic fixed effects (DFE). Cross-sectional dependence, panel unit root, and cointegration tests were performed. Finally, we used the Dumitrescu and Hurlin test of causality to determine the long-run association between variables. The finding indicates that while environmental pollution increases with increasing economic growth, it decreases with increasing renewable energy both in the short and long term. Whereas economic globalization positively affects environmental pollution in the long term, social globalization and the moderation effect between political globalization and renewable energy improves environmental quality in the long run. Finally, a bidirectional causality was found between economic growth and environmental pollution, with a unidirectional causality running from economic, political, and social globalization, renewable, and non-renewable energy to environmental pollution. Given these findings, we discussed potential policy measures.

The effects of the oil price and temperature on food inflation in Latin America

The impacts on food prices of temperature, the oil price, the exchange rate and wages in the agricultural industry were examined via a structural vector autoregression model and panel Granger causality test, using monthly data between January 2003 and December 2020 for Latin American countries. The paper concerns how much the determinants affect food prices. Empirical findings show that the oil price and temperature can be significant factors for reducing food inflation. According to the result of variance decomposition, in general, a considerable part of food inflation was explained by the exchange rate, but its effect did not show any significant change in the long term. The impacts of the oil price and temperature were limited in the early months, but they created larger changes over time. Impulse response function and the Granger causality test also indicated that exchange rate was a crucial dynamic in explaining food inflation in all countries except Ecuador. This country successfully mitigated the negative effect of the exchange rate, but the oil price and temperature had an impact on food inflation. All results indicate that both monetary and fiscal policies are essential to control food prices. These countries can accomplish this by conventional policies or by radical institutional changes. Nevertheless, the oil price and temperature are external dynamics, and crucial in creating alternative policies to control food inflation.

Environmental pollution and economic growth: Evidence of SO2 emissions and GDP in China

This study explores the inherent linkage mechanism between environmental pollution and economic growth using a non-linear MS (M)-VAR (p) model. The results indicate that, first, the growth rates of China's gross domestic product (GDP) and SO₂ emissions are in a state of significant inertia. Second, when the system was in a medium-growth regime, the growth rates of SO₂ emissions and GDP had a positive correlation, characterized by lower probability and weaker durability. Third, when the system was in a high- or low-growth regime, their growth rates were negatively correlated, characterized by higher probability and stronger durability. Overall, economic growth increases environmental pollution emissions, which intensifies as well as inhibits economic growth. The correlation and sustainability of SO₂ emissions and GDP are closely related to the regional status of the entire system. This study is helpful in analyzing the reasons for the nonlinear linkage mechanism between environmental pollution and economic growth.

Military spending, financial development, and ecological footprint in a developing country: insights from bootstrap causality and Maki cointegration

Military spending is required for national sovereignty, but it comes at a cost. The ecological consequences of military activities remain insufficiently investigated, especially in developing countries, where military spending is on the rise due to terrorism and civil unrest created by different secessionists' groups. As such, this study has a maiden attempt to address this gap by exploring the effects of military spending on the ecological footprint (EF) using the bootstrap causality test and the Maki (2012) cointegration test under multiple structural breaks. The findings suggest that military spending increases the EF. Also, while energy consumption and economic growth degrade the environment, financial development enhances environmental wellbeing by reducing the ecological footprint. The causality results suggest a unidirectional causality from military spending to EF, while feedback causality exists between military spending and economic growth. The result of this study affirms the existence of destruction theory and also provides a better understanding of the links behind environmental degradation and is applicable for the design and implementation of environmental policies.

A static and dynamic copula-based ARIMA-fGARCH approach to determinants of carbon dioxide emissions in Argentina

This paper attempts to model both static and dynamic dependence structures and measure impacts of energy consumptions (both renewable (EC) and non-renewable (REN) energies), economic globalization (GLO), and economic growth (GDP) on carbon dioxide (CO₂) emissions in Argentina over the period 1970-2020. For analyses purpose, the current research deploys the novel static and dynamic copula-based ARIMA-fGARCH with different submodels. The static bivariate copula results show that the growth rates of the pairs EC-CO₂ and GDP-CO₂ are asymmetrically positive co-movements and have high left tail (extreme) dependencies, implying that the increase in non-renewable energy and economic growth can critically contribute to the environmental degradation, and the decrease in the consumption of non-renewable energy at a high level will consequently reduce the CO₂ emissions at the same level. Based on several copula-based dependence measures, we document that between the two factors, the non-renewable energy has a stronger impact than the economic growth regarding the CO₂ emissions. On the other hand, the growth rates of both economic globalization and renewable energy symmetrically negatively co-move with the growth rates of the CO₂ emissions, but they have no extreme dependencies, indicating that these factors contribute to Argentina's environmental quality, in which the factor of renewable energy has a greater impact. Furthermore, the dynamic copula outcomes show that the (tail) dependencies of CO₂ emissions on the non-renewable energy and economic growth are time-varying, while the pairs REN-CO₂ and GLO-CO₂ possess only dynamic dependencies, but no dynamic tail dependencies. Moreover, through the dynamic copula-based dependence, the environmental Kuznets curve (EKC) hypothesis can be estimated and illustrated explicitly. In addition, we leverage multivariate vine copulas for modelling dependence structures of the five variables simultaneously, which can reveal rich information regarding conditional associations among the relevant variables. Some policy implications are also provided to mitigate CO₂ emissions.

A tested method for assessing and predicting weather-crime associations

Few studies have focused on haze as a weather element and its correlation with crime. In this study, we examined haze as a weather variable to investigate its effects on criminal activity. We used both monthly crime data and weather records to build a regression model that contains a sequential statistical approach to reach the correlation coefficients between the variables. Also, we developed a prediction model to predict crime cases considering three weather factors: temperature, humidity, and haze. We applied this model in two different climate provinces in Saudi Arabia, namely, Riyadh and Makkah. Riyadh is a desert area and observes haze approximately 17 days per month on average, while Makkah is a coastal area observing haze an average of 4 days per month. We found a measurable relationship between each of these three variables and criminal activity. We found that a one-degree increase in temperature was associated with an increase in assault of 0.739, when humidity and haze were held constant. For other independent variables measured against the same crime in Riyadh, a one-degree increase in humidity was associated with a 0.164 increase in assault. An increase in the number of times that a haze phenomenon is observed was associated with an increase of 0.359 in assault cases. Haze had the most effect on theft, drug, and assault crimes in Riyadh compared to the other elements. Temperature and humidity have a significant relationship with crime in Makkah, while haze had no significant influence in that region.

Toward Understanding Renewable Energy and Sustainable Development in Developing and Developed Economies: A Review

In recent years, there has been an upsurge of studies on sustainable development. The majority of research focuses on developed countries and issues that are incompatible with developing nations. This study addresses a gap in the literature by reviewing the research on developed and developing economies, as well as their social and environmental boundaries, under the renewable energy and sustainable development (RESD) nexus. It also explores how RESD may be applied in extreme situations such as population increase, energy supply disruptions, and transportation shortfalls. The fundamental contribution of this paper is to provide detailed debate from the perspective of economic growth hypotheses and their relationship with energy usage and renewable energy solutions for sustainable growth and development.

Revealing the dynamic effects of fossil fuel energy, nuclear energy, renewable energy, and carbon emissions on Pakistan's economic growth

The primary goal of this study was to examine the relationship between fossil fuel energy, electricity production from nuclear sources, renewable energy, CO₂ emissions, and economic growth in Pakistan. Data ranging from 1975 to 2019 were utilized, and the stationarity of this data was verified through the unit root testing. The dynamic connections between variables were investigated by utilizing the linear autoregressive distributed lag technique. Long-run analysis results uncover that fossil fuel energy, renewable energy use, CO₂ emissions, and GDP per capita have a productive relationship with economic progress in Pakistan, whereas electric power consumption, electricity produced from nuclear sources, and energy utilization have an adverse effect on economic growth. Furthermore, the consequences revealed that fossil fuel energy, renewable energy consumption, carbon dioxide emissions, and GDP per capita have a significant linkage to Pakistan's economic growth via short run, whereas we revealed that the variables electric power consumption, electricity produced from nuclear sources, and energy usage have an adversative linkage to Pakistan's economic growth. Feasible progressive policies are required from the Pakistani government to pay more attention for tackling the energy and power sectors' issues in terms of fulfilling the country's energy requirements.

Industrial agglomeration and carbon neutrality in China: lessons and evidence

This study explored the impact of industrial agglomeration on carbon neutrality and its spatial spillover effects utilizing the expanded the output density theoretical model of Ciccone and Hall. The main findings are as follows: (1) In terms of long-term effects, industrial output has significantly reduced regional carbon emissions, while industrial labor and capital agglomeration have aggravated carbon emissions, and industrial technology agglomeration has no significant impact on carbon emissions. (2) From the perspective of lagging effects, industrial output agglomeration has significantly increased regional carbon emissions, while industrial technology agglomeration has effectively reduced carbon emissions. The lagging effects of industrial labor and capital agglomeration are not significant. (3) From the perspective of regional differences, there are significant regional differences in the impact of industrial output and capital agglomeration on regional carbon emissions, while this differential influence does not exist on industrial labor and technological agglomeration. Therefore, in carbon emissions governance, it is necessary to analyze the long-term impact of industrial agglomeration on carbon emissions but also to pay attention to the lag and regional differences of the impact.

Roadmap for carbon neutrality: the mediating role of clean energy development-related investments

Recently, the Japanese government has announced the national objective of turning the economy of Japan carbon-neutral by 2050. This declaration has therefore enhanced the imperativeness of replacing the use of unclean energy with cleaner alternatives so that the carbon-neutrality agenda can be attained in due course. Against this backdrop, this study aims to assess whether enhancing government investments in research and development for developing clean energy can help Japan curb its carbon dioxide emission figures. In addition, the analysis also controls for the environmental effects of clean electricity output, economic growth, international trade, financial globalization, and urbanization on Japan's carbon dioxide emission figures. The cointegration test results confirm long-run relationships between all these variables. Besides, the regression results showed that scaling-up research and development-related investments for clean energy development reduces carbon dioxide emissions only in the long run. Similar emission-inhibiting impacts are also evidenced to be associated with greater output of clean energy-fired electricity. Moreover, it is also observed that higher clean energy development-related investments play a mediating role in amplifying the carbon dioxide emission-reducing effects of clean electricity generation in the long run. In addition, economic growth is seen to dampen environmental quality by triggering higher emissions of carbon dioxide both in the short and long run. Simultaneously, enhancing openness to international trade and greater urbanization is found to boost the carbon dioxide emission figures of Japan. However, an influx of foreign direct investments is not observed to influence carbon dioxide emissions in Japan, neither in the short run nor in the long run. Accordingly, concerning the achievement of carbon neutrality goal by 2050, these findings emphasize the importance of boosting clean energy development-related investments, increasing clean electricity output, greening economic activities, reducing the trade of unclean commodities, adopting environmentally sustainable urbanization policies, and facilitating the influx of clean foreign direct investments within the Japanese economy.

Reinvestigating the pollution haven hypothesis: the nexus between foreign direct investments and environmental quality in G-20 countries

One of the most commonly debated concerns regarding foreign direct investment inflows is the associated environmental adversities that accompany the influx of foreign funds. As a result, assessing the environmental impacts of foreign direct investment inflows is necessary for achieving environmentally friendly economic growth in the contemporary era. Accordingly, the global economies including the members of the Group of Twenty (G-20) should focus on attracting clean foreign direct investments. Against this backdrop, controlling for energy consumption and urbanization, this extant study scrutinizes the effects of foreign direct investment inflows on the carbon dioxide emission figures of selected G-20 countries between 1992 and 2018. The econometric analysis conducted in this paper involves recently developed methods that are efficient in handling cross-sectionally dependent heterogeneous panel data sets. Besides, the analysis is also conducted for sub-panels of high-, upper-middle-, and lower-middle-income G-20 countries to evaluate the possible heterogeneous environmental effects across the G-20 countries belonging to different income levels. Overall, the results highlight that higher foreign direct investment inflows surge carbon dioxide emissions whereby the pollution haven hypothesis is evidenced to hold for the G-20 nations of concern. Similarly, both at the aggregated and disaggregated levels, greater consumption of energy is witnessed to boost carbon dioxide emissions in the long run. Moreover, urbanization is found to trigger carbon dioxide emissions for the G-20 nations overall and the lower-middle-income G-20 nations. Further, the causality analysis reveals that carbon dioxide emissions have bidirectional causal relationships with foreign direct investment inflows, energy consumption, and urbanization. In line with these major findings, this study recommends that the governments of the G-20 countries inhibit inflows of dirty foreign direct investments, reduce fossil fuel dependency, and adopt green urbanization policies for achieving higher economic growth without marginalizing environmental well-being.

Global warming and export competitiveness of agriculture sector: evidence from heterogeneous econometric analysis of Pakistan

The increase in average annual temperature due to greenhouse gases emission is posing threat to the agriculture sector across the globe. Pakistan is labor abundant agrarian country that heavily depends on the agriculture sector for food, employment, and raw material for industries. This study is a preliminary investigation that explores the effect of increasing average annual temperature on the competitiveness of 24 major agricultural exports from 2003 to 2020. The revealed export advantage (RXA) is used to explore the competitive performance of selected agricultural exports, which is then normalized to examine the effect of increasing average annual temperature along with official exchange rate, urbanization, and globalization. The panel fixed-effect model with heteroscedasticity consistent robust standard error recommended by White (Econometrica 48(4):817-838, 1980) is used to explore model estimates, whereas the robustness check has been performed by using heteroscedasticity and multicollinearity consistent robust standard error model of Driscoll and Kaary (Rev Econ Stat 80(4):549-559, 1998). The estimated result reveals that the increasing average annual temperature has a negative but insignificant impact on the export competitiveness of selected agricultural exports. While, urbanization and exchange rate deprecation show a significant negative effect of higher intensity, respectively. Globalization, however, reveals a significant positive impact on the competitiveness of selected agricultural exports. This study, therefore, urges for the development of the agriculture sector by adopting SDGs proposed by the United Nations for sustainable economic growth and development.

Revisiting the EKC hypothesis by assessing the complementarities between fiscal, monetary, and environmental development policies in China

Recently, China has declared its national objective of becoming carbon neutral by 2060. Hence, mitigating carbon dioxide emissions has become an important agenda of the Chinese government. Against this backdrop, this paper aims to evaluate the effectiveness of pursuing expansionary fiscal and monetary policies on China's carbon dioxide emission figures by using annual frequency data from 1980 to 2018. Accordingly, this study considers the levels of government expenditure and broad money supply as fiscal and monetary policy instruments, respectively. Besides accounting for structural break concerns in the data, the findings from the empirical analysis reveal that there are long-run associations between carbon dioxide emissions, economic growth, and fiscal and monetary expansion in China. Moreover, the results also show that in both the short- and long-run expansionary fiscal policy trigger higher carbon dioxide emissions while expansionary monetary policy inhibits the carbon dioxide emission figures of China. Furthermore, the results invalidate the existence of the Environmental Kuznets Curve hypothesis since the relationship between China's economic growth and carbon dioxide emissions is evidenced to portray an N-shape. In line with these findings, it is recommended that China achieve environmentally sustainable economic growth by aligning the national fiscal and monetary policies with the 2060 carbon-neutrality objective.

Dynamic link between bilateral FDI, the quality of environment and institutions: evidence from G20 countries

The sustenance of a clean, natural, and relatively less tampered environment is one of the most important apprehensions of contemporary households, firms, and governments in the globalized world. Both developing and developed countries rely heavily on foreign direct investments (FDI) and institutional arrangements for economic prosperity and have feedback repercussions about environmental quality. Thus, the current paper attempts to explore such a triplex integrated linkage among bilateral FDI, institutional quality, and environmental quality proxied by CO₂ emissions intensity on each other for 19 selected G20 countries during 2009-2017. The empirical estimation of this paper takes into account three equations that jointly address the endogeneity problem by employing both static (such as seemingly unrelated regression and three-stage least square) and dynamic simultaneous econometric techniques (such as the system generalized method of moments) with a panel dataset considering host and source countries with 342-panel pairs for the selected sample time. The empirical results confirm that bilateral FDI reduces CO₂ emission intensity and strengthens the institutional quality of G20. It also supports the idea that institutional quality has a favorable and considerable impact on bilateral FDI. This paper confirms a positive and considerable feedback between environmental and institutional quality. Further, this study establishes a triplex relationship between these three factors. This study argues that governments should use incentives like tax cuts and additional subsidies to promote greener FDI in G20 nations. This is because it facilitates the employment of more modern technology and clean energy-efficient technologies to minimize emissions and spur economic growth.

The impact of information and communication technology, financial development, and energy consumption on carbon dioxide emission: evidence from the Belt and Road countries

In today's digital era of globalization, information and communication technology (ICT) has been considered important that contributes to various sectors of an economy and increases economic growth; however, an increase in ICT may influence environmental quality which needs attention. For this purpose, this study examines the effect of ICT, energy consumption, economic growth, and financial development on carbon emission in the Belt and Road countries from 2000 to 2019 using OLS, fixed effect, dynamic system generalized method of moments (GMM), and generalized least square (GLS) models. The results indicate that ICT, financial development, energy consumption, and economic growth increase carbon dioxide emission, while renewable energy use and international trade reduce it. Foreign direct investment exerts both positive and negative effects on carbon emission across different models with different proxies of financial development. In the individual indicators model, only FBS seems to reduce carbon emission, while other indicators are positively associated with CO2 emission. The findings have considerable policy suggestions for the Belt and Road countries in the improvement of ICT sector, innovations, and enhancing financial institutions which can enhance environmental quality.

The relationship between external debt and ecological footprint in SANE countries: insights from Kónya panel causality approach

There are many studies on the relationship between energy consumption and various environmental indicators in Africa, and SANE countries in particular. However, there is a dearth of studies that relate external debt to CO₂ emissions, and even the ecological footprint, which is a more comprehensive environmental indicator. As such, this paper applies advanced estimation techniques to explore the role of external debt in the famous energy-growth-environmental nexus in SANE countries from 1970 to 2018. The findings from the Augmented Mean Group estimator indicate that economic growth and energy consumption increase environmental pressure in the SANE countries. On country-level results, the environmental Kuznets curve (EKC) hypothesis, monotonic increase, and monotonic decrease for ecological footprint holds in South Africa, Algeria, and Nigeria, respectively. Also, the results reveal that external debt increases the ecological footprint in South Africa and Algeria. Furthermore, the Kónya (2006) bootstrap country-level Granger causality test shows that ecological footprint is sensitive to economic growth and energy consumption in South Africa and Nigeria, while economic growth is sensitive to the ecological footprint in both Algeria and Nigeria. This study argues that stringent policy suggestions should be centred on reducing the overdependence on non-renewable energy sources since it underscores the major deteriorating state of environmental quality across SANE countries.

The roles of foreign direct investments, economic growth, and capital investments in decarbonizing the economy of Oman

Oman is a Middle Eastern country that has traditionally been monotonically reliant on its indigenous fossil fuel supplies. Besides, the nation has also been a surplus producer and net exporter of oil which further highlights the prolonged fossil fuel dependency of Oman. Consequently, despite flourishing economically, environmental quality in Oman has persistently aggravated. These opposing economic and environmental performances have necessitated Oman to identify the factors which can enable Oman to decarbonize its economy for tackling the environmental concerns faced by the nation. Against this backdrop, this study aims to examine the symmetric and asymmetric effects of foreign direct investments, economic growth, and capital investments on carbon dioxide emissions in Oman during 1980-2019. Using relevant econometric estimation methods for controlling structural break concerns in the data, the findings reveal evidence of asymmetric environmental impacts associated with shocks to the nation's foreign direct investment inflow, economic growth, and capital investment figures. Specifically, it is witnessed that positive shocks to the levels of foreign direct investment inflows, economic growth, and capital investments boost carbon dioxide emissions both in the short and long run. On the other hand, negative shocks to the levels of foreign direct investment inflows and economic growth are witnessed to reduce the emissions. Besides, the findings also validate the environmental Kuznets curve and pollution haven hypotheses in the context of Oman. Hence, considering these key findings, it is recommended that Oman should ideally pursues green economic growth policies by restricting inflows of unclean foreign direct investments and green its financial sector in order to collectively minimize its carbon dioxide emission figures.

The importance of facilitating renewable energy transition for abating CO2 emissions in Morocco

ABSTRACT: Achieving environmental sustainability has become a core policy agenda of the Moroccan government. The nation's monotonic dependence on fossil fuels for meeting the local energy demand has been acknowledged as the major cause of environmental distress. Besides, Morocco has traditionally been a major importer of fossil fuels whereby the nation's fossil fuel dependency could not be phased out to a large extent. Consequently, the greenhouse gas emission figures of Morocco have persistently surged over the years. Moreover, Morocco has large reserves of untapped renewable energy sources which can be employed for producing power without significantly degrading the environment. Against this backdrop, this study explores the renewable energy consumption-carbon dioxide emissions nexus, controlling for economic growth, financial development, and foreign direct investment inflows, in the context of Morocco over the period between 1980 and 2017. In addition, along with the direct impacts, the indirect environmental impacts associated with renewable energy consumption are also scrutinized in this study. The empirical strategy involves the application of econometric methods that are robust to handling structural break issues in the data. Overall, the results reveal that renewable energy consumption curbs carbon dioxide emissions both in the short and long run. In contrast, financial development and foreign direct investment inflows boost carbon dioxide emissions in Morocco. However, these adverse environmental impacts are partially neutralized by facilitating greater renewable energy use within Morocco. The results indicate that renewable energy consumption interacts with financial development and foreign direct investment inflows to jointly reduce the carbon dioxide emission figures of Morocco in the long run. Furthermore, the findings also validate the environmental Kuznets curve hypothesis in the long run only. In line with these key findings, it is recommended that the Moroccan government should adopt relevant policies that can help the nation overcome the existing barriers faced in transitioning from non-renewable to renewable energy use. Simultaneously, it is also necessary for Morocco to achieve environmentally sustainable economic growth by greening its financial sector and revisiting its financial globalization policies.

Trends in Renewable Electricity Generation in the G20 Countries: An Analysis of the 1990–2020 Period

The use of electricity from non-renewable sources increases environmental impacts. Therefore, several countries have committed to increase the use of renewable sources. Considering the importance of the Group of Twenty (G20), this article aims to identify trends in renewable electricity supply in these countries. The data collected are from the International Energy Agency (IEA) between 1990 and 2020. The methods measured the production of each type of electricity in the G20 matrices and identified the influence of the population, Gross Domestic Product (GDP), and CO2 emissions in renewable electricity production using multiple linear regression. In terms of results, Brazil and Canada have the most renewable electricity matrices and higher per capita renewable production than non-renewable. Saudi Arabia presented the smallest renewable matrix throughout the analyzed period. All 20 countries have varied electrical production, with different amounts of solar, wind, hydro, biomass, geothermal, and tidal energy. Countries with the highest GDP are not necessarily the largest producers of renewable electricity. Hydroelectric energy, the biggest highlight in renewable production, is making room for other sources such as wind and solar, which grew the most in terms of participation in the electrical matrices. The waste, geothermal, and tidal energy participation have shown a timid but constant growth.