Globalization and carbon emissions: Is there any role of agriculture value-added, financial development, and natural resource rent in the aftermath of COP21?

Influence of environmental technologies and income on the environment in OECD member countries transitioning to low carbon societies

This paper focuses on examining the effects of per capita environmental technology development on the load capacity factor (LCF) within the context of OECD member countries during the period spanning 1990 to 2021. To investigate these relationships, we employ the AMG estimator and FM-LS estimator. Additionally, we explore the validity of the load capacity curve for these countries and estimate the inflection points in the income per capita-environmental sustainability relationship. Our findings lead us to the conclusion that there is no significant impact of environmental technologies on environmental sustainability. Furthermore, we observe a negative influence on the development of environmental technologies, which can be attributed to the negative externalities associated with their implementation and the lack of societal adoption. Moreover, our estimations reveal an inflection point at $45,251.90 in terms of GDP per capita, beyond which the sustainability condition of the studied countries improves.

Trade openness, human capital, natural resource, and carbon emission nexus: a CS-ARDL assessment for Central Asian economies

There is a call for global efforts to preserve the ecological systems that can sustain economies and people's lives. However, carbon emission (CEM) threatens the sustainability of humanity and ecological systems. This analysis looked into the influence of energy use (ERU), human capital (HCI), trade openness (TOP), natural resource (NRR), population, and economic growth (ENG) on CEM. The paper gathered panel data from the Central Asia region from 1990 to 2020. The CS-ARDL was applied to establish the long-term interaction among the indicators. The paper's findings indicated the presence of the environmental Kuznets curve (EKC) in the Central Asia regions. Also, the empirical evidence highlighted that energy use, natural resources, and trade openness cause higher levels of CEM. However, the research verified that CEM can be improved through human capital and urban population growth. The study also found that HCI moderates the interaction between NRR and CEM. The causality assessment indicated a one-way interplay between ENG, ERU, NRR, and CEM. The study proposes that to support ecological stability in these regions, policy-makers should concentrate on developing human capital, investing in renewable energy sources, and utilizing contemporary technologies to harness natural resources in the economies of Central Asia.

Do Trade and Financial Cooperation Improve Environmentally Sustainable Development: A Distinction Between de facto and de jure Globalization

The adoption of growth strategies based on foreign trade, especially in the previous century when liberal policies began to dominate, is one of the main reasons for the increase in output and indirectly for environmental concerns. On the other hand, there are complex claims about the environmental effects of liberal policies and thus of globalization. This study intends to analyze the effects of global collaborations involving 11 transition economies that have completed the transition process on the environmentally sustainable development of these nations. In this direction, the effects of financial and commercial globalization indices on carbon emissions are investigated. The distinctions of globalization are used to distinguish the consequences of the two types of globalization. In doing so, the de facto and de jure indicator distinctions of globalization are used to differentiate the consequences of two types of globalization. In addition, the effects of real GDP, energy efficiency, and use of renewable energy on environmental pollution are dissected. For the main purpose of the study, the CS-ARDL estimation technique that allows cross-sectional dependency among observed countries is used to separate the short and long-run influences of explanatory variables. In addition, CCE-MG estimator is used for robustness check. According to the empirical findings, the economic growth and increasing energy intensity increases carbon emissions, but the increase in renewable energy consumption improves environmental quality. Furthermore, trade globalization does not have a significant impact on the environment in the context of globalization. On the other hand, the increase in de facto and de jure financial globalization indices results in an increase in carbon emissions, but de jure financial globalization causes more environmental damage. The harmful impact of de jure financial globalization on environmental quality suggests that the decreasing investment restrictions and international investment agreements of transition countries have been implemented in a manner that facilitates the relocation of investments from pollution-intensive industries to these countries.

Analyzing the impact of fintech industry and green financing on energy poverty in the European countries

In the fourth industrial revolution, the fintech has significantly expanded during the last several years, and this has caused scholars to worry about how much electricity is being used. Because energy poverty is one of the most critical social policy concerns facing the majority of nations in the world in the modern era. This study adds to what has already been written by looking at how the fintech industry affects the environment and energy in European countries. The current study investigates how the growing awareness of the need to preserve energy and the environment has an effect on society, and analyzes the role of the fintech industry, green finance, energy efficiency, and research and development on energy poverty across European nations from 2013 to 2020. To estimate long- and short-term impacts, DOLS and FMOLS are used along with diagnostic tests. The outcomes found that there is a tight relationship between energy poverty and all the factors taken into consideration (fintech, green finance, energy efficiency, and R&D). EU governments should employ "green finance" to encourage and enable the fintech industry since fintech plays a vital role in enhancing environmental effectiveness. The financing of environmentally friendly projects is very beneficial and might help alleviate energy poverty. The findings also indicate that more financing, ecological subsidies, and social assistance programs are necessary in order to satisfy the needs for energy and put an end to energy poverty in Europe. Policymakers in the tech world may be especially interested in the results.

Global production patterns: Understanding the relationship between greenhouse gas emissions, agriculture greening and climate variability

Climate change due to increased greenhouse gas emissions (GHG) in the atmosphere has been consistently observed since the mid-20th century. The profound influence of global climate change on greenhouse gas (GHG) emissions, encompassing carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), has established a vital feedback loop that contributes to further climate change. This intricate relationship necessitates a comprehensive understanding of the underlying feedback mechanisms. By examining the interactions between global climate change, soil, and GHG emissions, we can elucidate the complexities of CO2, CH4, and N2O dynamics and their implications. In this study, we evaluate the global climate change relationship with GHG globally in 246 countries. We find a robust positive association between climate and GHG emissions. By 2100, GHG emissions will increase in all G7 countries and China while decreasing in the United Kingdom based on current economic growth policies, resulting in a net global increase, suggesting that climate-driven increase in GHG and climate variations impact crop production loss due to soil impacts and not provide climate adaptation. The study highlights the diverse strategies employed by G7 countries in reducing GHG emissions, with France leveraging nuclear power, Germany focusing on renewables, and Italy targeting its industrial and transportation sectors. The UK and Japan are making significant progress in emission reduction through renewable energy, while the US and Canada face challenges due to their industrial activities and reliance on fossil fuels.

Investigating the role of smart technologies, financial, and environmental innovations in tackling the ecological sustainability: a global pathway toward low carbon energy transition

Since the beginning of the twenty-first century, the rapid development of modern technologies has brought unprecedented social prosperity to mankind as technologies penetrate every sector of the economy. These technologies have given a new dimension to the energy sector. The key purpose of this study is to investigate the crucial impact of technological revolutions, namely, smart grids, smart devices, financial innovations, and environmental innovations, on greenhouse gas emissions (GHGs). To this end, the study utilized data from European, Asian, Middle Eastern, and African countries and employed first- and second-generation methods, such as DOLS, FMOLS, and CS-ARDL models. The research shows that smart grids are the only factor in reducing GHGs, regardless of geographic division. Hence, linking smart grid resources to climate change goals requires short-term deployment strategies with a clear long-term vision and the fundamental goal of transforming the power structure into a net zero-emission system. The study also demonstrates that the emergence of ICT in electricity consumption has not yet reached a level that can promote environmental excellence. The study documented the critical role of financial innovation and environmental innovation in addressing environmental degradation.

Assessing greenhouse gas emissions in Cuban agricultural soils: Implications for climate change and rice (Oryza sativa L.) production

Assessing the impact of greenhouse gas (GHG) emissions on agricultural soils is crucial for ensuring food production sustainability in the global effort to combat climate change. The present study delves to comprehensively assess GHG emissions in Cuba's agricultural soil and analyze its implications for rice production and climate change because of its rich agriculture cultivation tradition and diverse agro-ecological zones from the period of 1990-2022. In this research, based on Autoregressive Distributed Lag (ARDL) approach the empirical findings depicts that in short run, a positive and significant impact of 1.60 percent % in Cuba's rice production. The higher amount of atmospheric carbon dioxide (CO2) levels improves photosynthesis, and stimulates the growth of rice plants, resulting in greater grain yields. On the other hand, rice production index raising GHG emissions from agriculture by 0.35 % in the short run. Furthermore, a significant and positive impact on rice production is found in relation to the farm machinery i.e., 3.1 %. Conversely, an adverse and significant impact of land quality was observed on rice production i.e., -5.5 %. The reliability of models was confirmed by CUSUM and CUSUM square plot. Diagnostic tests ensure the absence of serial correlation and heteroscedasticity in the models. Additionally, the forecasting results are obtained from the three machine learning models i.e. feed forward neural network (FFNN), support vector machines (SVM) and adaptive boosting technique (Adaboost). Through the % MAPE criterion, it is evident that FFNN has achieved high precision (91 %). Based on the empirical findings, the study proposed the adoption of sustainable agricultural practices and incentives should be given to the farmers so that future generations inherit a world that is sustainable, and healthy.

Does the individual effect of resource rents imperative in the attainment of environmental sustainability? Evidence of Southeast Asian economies

This study investigates the impact of natural resource exploitation on environmental sustainability in Southeast Asian economies, while testing the Environmental Kuznets Curve (EKC) inverted U-shaped hypothesis, a model which suggests an initial increase in environmental degradation with economic growth followed by a decrease at a certain level of income. Utilizing World Development Indicators data from 1995 to 2018, the research dissects the long-term influence of various resource rents, namely coal, oil, and forest. The research highlights the indispensable role of renewable energy in maintaining ecological balance. Results indicate that while coal rent exacerbates environmental degradation, forest and oil rents prove eco-friendly, although this is only confirmed in fully modified OLS estimation. The study underscores the importance of forest rents in achieving environmental sustainability. Renewable energy emerges as vital for promoting sustainable low-carbon practices. In line with the EKC hypothesis, the study finds that economic growth initially increases carbon emissions, but eventually reduces them. It calls for appropriate measures to manage resource exploitation, ensure renewable energy availability, alleviate energy poverty, and curb deforestation, thereby mitigating ecological damage.

The impacts of renewable energy production, economic growth, and economic globalization on CO2 emissions: evidence from Fourier ADL co-integration and Fourier-Granger causality test for Turkey

Along with the growth and globalization of the whole world economy since the First Industrial Revolution, the production and use of fossil fuels have led to increased CO2 emissions and, ultimately, significant environmental degradation. The impact of globalization, economic growth, and renewable energy sources on CO2 may show trends with different turning points in developing countries, and estimations may need to follow Fourier-type functions to capture the frequency domain. Therefore, the aim of this study is to examine the effects of renewable energy production, economic globalization, and economic growth on CO2 emissions for Turkey in the period 1971-2006 with Fourier autoregressive distribution lag (ADL) cointegration, DOLS, and Fourier-Granger causality tests. The originality of this study is the estimation of a model of CO2 emissions with a Fourier-type function for the first time. The findings indicate a negative relationship between renewable energy production and CO2 emissions and a positive relationship between economic globalization and economic growth and CO2 emissions. In addition, according to the empirical results, there exists a one-way causality relationship between economic globalization to CO2 and economic globalization to renewable energy production, and there is evidence of a bidirectional causality relationship between economic globalization and economic growth in this study.

Exploring the impact of natural resources and energy transition on CO2 intensity in China

As reported at the 26th UN Climate Change Conference (COP26), worsening climate situation has led to frequent extreme weather events around the world. The main cause of climate change is carbon emissions from human activities. While realizing rapid economic development, China has become the world's largest energy consumer and carbon emitter. To achieve the goal of carbon neutrality by 2060, it should reasonably use natural resources (NR) and promote energy transition (ET). In this study based on panel data on 30 Chinese provinces from 2004 to 2020, second generation panel unit root tests were performed after validating slope heterogeneity and cross-sectional dependency. Mean group (MG) estimation and error correction model were used to empirically test the impact of natural resources and energy transition on CO2 intensity (CI). The results show that natural resources exerted adverse effects on CI, whereas ET, economic growth and technological innovation were beneficial to CI. Analysis of heterogeneity indicates that natural resources exerted the greatest impact on CI in central China, followed by west China. Its impact in east China was positive but did not pass significance test. West China achieved the best result in carbon reduction through ET, followed by central China and east China. The robustness of the results was checked with augmented mean group (AMG) estimation. Our policy suggestions are to urge reasonable development and utilization of natural resources, accelerate ET to replace fossil fuels with renewable energy, and implement differentiated policies on natural resources and ET based on regional characteristics.

How do natural resources and economic growth impact load capacity factor in selected Next-11 countries? Assessing the role of digitalization and government stability

With growing  environmental concerns, everyone's attention has shifted to how we use our limited materials supplies. Rapid economic expansion is dependent on heavy resource use, decreasing biodiversity and raising the ecological footprints (EF), resulting in a reduction in the load capacity factor (LCF). Because of this, scholars and policymakers are actively looking for approaches to improve the LCF without hindering economic growth (GDP). For similar reasons, this research aims at how the selected next eleven economies improved their LCF from 1990 to 2018 by analyzing the effect of digitalization (DIG), natural resources (NAT), GDP, globalization, and governance. To account for dependence across sections and slope variation, the cross-sectional augmented ARDL model is used in this research. The long-term findings indicate that LCF was diminished by dependence on NAT, globalization, and economic growth and was bolstered by DIG and sound governance. The work recommends that financial and policy support is needed for initiatives such as zero-emission vehicle production and energy-efficient building construction. By offering a line of credit at low interest rates, renewable energy projects can attract domestic and private investors.

Oil and natural gas rents and CO2 emissions nexus in MENA: spatial analysis

Background

Oil rents (OR) and natural gas rents (NGR) have significant contributions to the income of the Middle East and North Africa (MENA) economies and may increase emissions. Moreover, spatial autocorrelation is expected in carbon dioxide (CO₂) emissions due to the geographically closed economies in the MENA region. Thus, we examine the impact of OR and NGR on CO₂ emissions caring spatial dimensions and analyze the environmental Kuznets curve (EKC).

Methods

We apply the spatial Durbin model technique on the effects of OR, NGR, and economic growth on CO₂ emissions in 17 MENA nations from 2000-2019, i.e., Algeria, Bahrain, Egypt, Iran, Iraq, Israel, Jordan, Kuwait, Libya, Morocco, Oman, Qatar, Saudi Arabia, Syria, Tunisia, the United Arab Emirates (UAE), and Yemen. Moreover, diagnostic tests are applied to reach the most appropriate spatial specification and to have the most robust results.

Results

The results disclose that CO₂ emissions have spillovers and emissions of any country can damage the environment of neighboring countries. The EKC is corroborated with a turning point of 38,698 constant 2015 US dollars. Israel and Qatar are in 2^nd phase of the EKC, and 15 MENA economies are in 1^st stage. Thus, the economic expansion of most economies has ecological concerns. The effect of natural gas rents is found statistically insignificant. Oil rents have minute negative effects on emissions of local economies with an elasticity coefficient of -0.2117. Nevertheless, these have a positive indirect effect with an elasticity coefficient of 0.5328. Thus, the net effect of oil rents is positive. One percent increase in oil rents could accelerate 0.3211% of emissions. Thus, we suggest the MENA countries reduce reliance on oil rents in their income to avoid the negative environmental effects of the oil sector.

The impact of natural resource consumption on carbon emissions: evidence of a symmetric and asymmetric effect from Sub-Saharan Africa

Sub-Saharan African countries are among mineral-rich developing countries strategically competing to guarantee sustainable economic development through resource exploration. The possibility of increasing the level of carbon emission due to using low-cost fuels and high pollutants during mineral resource extraction activities leading to environmental degradation continues to draw the attention of researchers and policy makers. This research aims to analyze the response of carbon emissions in the African continent to symmetric and asymmetric shocks on resource consumption, economic growth, urbanization, and energy consumption. Following the Shin et al. (2014a) linear and nonlinear autoregressive distributed lag (ARDL) methodology in panel form, we construct symmetric and asymmetric panel ARDL-PMG model to evaluate both short- and long-run impacts of resource consumption on carbon dioxide emissions for a panel of 44 African countries over the period 2000-2019. The symmetric results show that the effect is not statistically significant despite natural resource consumption positively impacting carbon emission in the long and short runs. Energy consumption was found to affect environmental quality in the long and short runs adversely. Interestingly, economic growth was found to improve environmental quality in the long run significantly, and no significant impact was reported in the case of urbanization. However, the asymmetric results prove that a positive and negative shock to natural resource consumption contributes significantly to carbon emission, contrary to the insignificant impact established in the linear framework. The gradual growth in the manufacturing sector and an expansion in the transportation sector in Africa led to high demand and consumption of fossil fuels. This possibly accounts for the adverse effect of energy consumption on carbon emissions. Most African countries depend mainly on exploring natural resource endowment and agricultural activities to drive the growth of their economies. Due to the weak environmental regulatory frameworks in most African countries and public corruption, multinational companies (MNCs) in the extractive sector do not adhere to environmentally friendly activities. The majority of African countries are also battling illegal mining activities and illicit felling of trees, which may account for the positive relationship between natural resource rents and environmental quality reported. In terms of policy implications of the study, governments in Africa must preserve natural resources, use environmentally friendly and technologically advanced resource extraction methods, opt for green energy, and strictly apply environmental laws to promote environmental quality on the continent.

Natural resources, fiscal decentralization, and environmental quality in China: an empirical analysis from QARDL approach

It is generally believed that fiscal decentralization is an essential way to increase the overall effectiveness and efficiency of the government through the transfer of financial autonomy to the local governments. On the same lines, this study attempts to confabulate the influence of two important economic indicators, (i) fiscal decentralization and (ii) natural resource rent in validation of the environmental Kuznets curve hypothesis. Our current analysis is grounded upon a developing economy - China - and will serve as a stepping stone for the similar economies. The time period for the empirical estimation is from 1990 to 2020. The study applied an advanced econometrics approach, called the quantile autoregressive distributed lag (QARDL), which has many advantages as compared to any conventional approach. The empirical outcomes, after estimations, illustrate that in the long run, FDE is having an unfavorable connotation with CO₂ emissions. NRR is another essential factor influencing the CO₂ emissions in the long run in the selected economy. The estimated outcomes are revealing the presence of the EKC. Furthermore, the present research elucidates the existence of the bi-directional causality between selected economic indicators, FDE and CO₂ emissions, and GDP square and CO₂ emissions. But there is a unidirectional causality between GDP and CO₂ emissions. Thus, policymakers should encourage the transfer of powers to the lower tiers of government to ameliorate environmental quality in the Chinese economy.

Probing environmental sustainability pathways in G7 economies: the role of energy transition, technological innovation, and demographic mobility

Global warming remains the most devastating environmental issue embattling the global economies, with significant contributions emanating from CO₂ emissions. The continued rise in the level of greenhouse gas (GHG) emissions serves as a compelling force which constitutes the core of discussion at the recent COP26 prompting nations to commit to the net-zero emission target. The current research presents the first empirical investigation on the roles of technological advancement, demographic mobility, and energy transition in G7 pathways to environmental sustainability captured by CO₂ emissions per capita (PCCO2) from 2000 to 2019. The study considers the additional impacts of structural change and resource abundance. The empirical backings are subjected to pre-estimation tests consisting of cross-sectional dependence, second-generation stationarity, and panel cointegration tests. The model estimation is based on cross-sectional augmented autoregressive distributed lag, dynamic common correlated effects mean group, and augmented mean group for the main analysis and robustness checks. The findings reveal the existence of EKC based on the direct and indirect effects of the components of economic growth. The indicators of demographic mobility differ in the direction of influence on PCCO2. For instance, while rural population growth negatively influences PCCO2 in the short-run alone, urban population growth increases PCCO2 in the short-run and long-run periods. Nonrenewable energy, information computer technology (ICT) imports, and mobile cellular subscriptions serve as positive predictors of PCCO2, while ICT exports and renewable energy moderate the surge in PCCO2. Policy implications that enhance environmental sustainability are suggested following the empirical verifications.

Meditation for role of productive capacities and green investment on ecological footprint in BRI countries

The Belt and Road Initiative (BRI) is a development strategy with a focus on enhancing connectivity, promoting economic growth, and improving people's livelihoods. However, it has also raised concerns about its effect on the environment. This study explores the impact of productive capacities and green investment in mitigating the ecological footprint of BRI countries. The role of productive capacities on ecological footprint is very little discussed in earlier studies. This study investigates the effect of productive capacities index and green investment on ecological footprint for 42 BRI participating countries covering the time span of 2000-2018. Different methods are applied to tackle the problem of dependence of cross sections; then Lagrange multiplier bootstrap method is applied to find co-integration. The long run relationship is uncovered by "augmented mean group" (AMG) and "common correlated effects mean group" (CCEMG). The findings of the study show that both productive capacities and green investment have a significant negative impact on ecological footprint, depicting that promoting sustainable development and environmental protection is feasible through increasing productive capacities and investing in green technologies. The findings of this study have important implications for policymakers, who should focus on promoting sustainable environment by prioritizing productive capacities and green technologies.

An empirical assessment of the tripartite nexus between environmental pollution, economic growth, and agricultural production in Sub-Saharan African countries

A lot of attention has been paid to environmental pollution worldwide, due to the increase in anthropogenic activities. Massive investment in non-renewable energy options raises questions regarding environmental sustainability and how to maximize food and non-food output while still preserving a healthy ecosystem. To this end, the present study explores the three-way nexus between economic growth, CO₂ emission, and agriculture-value added will accounting for other control variables across a balanced panel of selected African economies from 1997 to 2020. Panel econometrics method of the generalized method of moments (two-step difference GMM) is used to obtain a robust result. From the present study, the environmental pollution model shows that economic growth significantly contributes to environmental pollution in Africa. Additionally, the food price index, capital, and FDI promote pollution, while agricultural production and labor decrease pollution. In the case of the economic growth model, the findings reveal that environmental pollution supports the growth-led pollution hypothesis. Also, the food price index and capital ameliorate economic growth, while foreign direct investments decrease economic growth. Finally, the agricultural production model indicates that economic growth increases agricultural production when the interaction term between GDPC and FDI is included in the model. In summary, the combination of explanatory variables, environmental pollution, capital, and foreign direct investment decreases agricultural production. On the contrary, the food price index and labor promote agricultural production in Africa. Furthermore, the study provides a lot of policies for authorities and stakeholders in Sub-Saharan African countries and other developing economies.

Evaluating the total-factor efficiency of E3 in oil-producing countries, with emphasis on education

Global warming is one of the greatest challenges of the contemporary world. Overcoming this problem requires a global determination in energy management and a significant reduction in the use of fossil fuels worldwide. The objectives of this article are to investigate the role of education in economic growth and to evaluate the total-factor energy, economic and environmental efficiency (E3) of oil-producing countries and productivity changes between 2000 and 2019. These countries were divided into two categories of middle- and high-income ones. The panel data model was used to estimate the role of education in the countries' economic growth, and the data envelopment analysis (DEA) method was used to measure their total-factor efficiency (E3). The findings indicate that education has a positive role in economic growth. In general, Norway proved to be efficient in all indicators of e1, e2, e3, and E3. The worst performance in e1 belonged to Canada (0.45) and Saudi Arabia (0.45); in e2, to Algeria (0.67) and Saudi Arabia (0.73); in e3, to the USA (0.04) and Canada (0.08); and in E3, to Canada (0.46), Saudi Arabia (0.48), and the USA (0.64). The average total-factor efficiency of all indicators for the selected countries was low. Average changes in total-factor productivity and technological changes for all the selected countries had decreased in e1 and e3 but improved in e2 and E3 during the studied period. The changes in technical efficiency also decreased during the period. Moving towards a low-carbon economy, developing creative and environment-friendly technologies, more investment in clean and renewable energy, and creating diversity in production, especially for OPEC and countries with single-product economies, are some of the ways suggested for improving E3 efficiency in the countries.

Technological innovations, renewable energy, globalization, financial development, and carbon emissions: role of inward remittances for top ten remittances receiving countries

Asides from renewable energy consumption, technological innovation and remittances are mostly ignored as critical tools and resources that can be adopted to ameliorate environmental worries, even when remittances have more considerable resource inflow than official development aids. Based on this information, the current research investigates the implications of technological innovation, remittances, globalization, financial development, and renewable energy on CO₂ emissions in top remittances-receiving countries from 1990 to 2021. To obtain reliable estimates, we use a battery of advanced econometric techniques and method of moments quantile regression (MMQR) method. The AMG results suggest that innovation, remittances, renewable energy, and financial development alleviate CO₂ emanations, whereas globalization and economic growth worsen environmental sustainability by increasing CO₂ emissions. Besides, the MMQR results confirm that renewable energy, innovation, and remittances decrease CO₂ emissions across all quantiles. A bidirectional causality exists amid financial development and CO₂ emanations, and across remittances and CO₂ emissions. However, one-way causality flows from economic growth, renewable energy and innovation to CO₂. This study suggests some essential measures for ecological sustainability in light of the findings.

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.

The potency of natural resources and trade globalisation in the ecological sustainability target for the BRICS economies

The BRICS nations have yet to significantly contribute to achieving Sustainable Development Goals (SDG) 7 and 13. Dealing with this problem might necessitate a policy shift, which is the main topic of this research. Therefore, the current study scrutinizes the interrelationship between natural resources, energy, trade globalisation and ecological footprint using panel data from the period between 1990 and 2018 for the BRICS nations. To assess the interrelationship between ecological footprint and its determinants, we used the Cross sectional autoregressive distributed lag (CS-ARDL) and common correlated effects. mean group (CCEMG) estimators. The findings show that economic progress, and natural resources lessen ecological quality, while renewable energy and trade globalization improves ecological quality in the BRICS nations. Based on these results, the BRICS nations need to upgrade their use of renewable energy sources and improve the structure of their natural resource endowments. Furthermore, trade globalisation necessitates immediate policy responses in these nations since it reduces ecological damage.

Insights from Poland on the long-run effect of energy productivity on environmental degradation: a Fourier ARDL-based approach

The globally increasing trend of fossil fuel consumption has culminated in a historical degradation of the environment and the rising threat of global warming. Researchers and policymakers aim at examining critical relationships between energy productivity and environmental degradation to make recommendations for global policy action. This paper aims to capture the effect of energy productivity on environmental degradation in Poland from 1990Q1 to 2019Q4, using novel Fourier-bases ADF unit root and Fourier-based ARDL approaches. First, outcomes of the Fourier ARDL bounds test indicate that variables are integrated; second, outcomes of the Fourier ARDL long-run estimates indicate that (i) energy productivity has long-run negative effects on CO₂ emissions; and (ii) economic growth, globalization, and primary energy consumption have positive effects on CO₂ emissions. Among the options available to Polish policymakers are (i) liberalizing domestic energy markets to offer an opportunity for electricity consumers to switch companies and (ii) continuing to pursue a policy of decarbonizing energy supply by investing heavily in renewable energy, nuclear power, e-mobility, and energy productivity.

Asymmetric effect of environmental cost of forest rents in the Guinean forest-savanna mosaic: The Nigerian experience

Several studies have identified deforestation as a major cause of environmental degradation, but little is known about the asymmetric effect of the environmental cost of forest rents. To fill this gap, our study uses the nonlinear autoregressive distributed lag (NARDL) model and asymmetric causality test to examine the environmental implication of forest rents in the Guinean Forest-Savanna Mosaic of Nigeria over the period 1990:Q1 to 2016:Q4. The empirical results show that forest rents increase CO₂ emissions when the shock to forest rents is positive and decreases CO₂ emissions when the shock to forest rents is negative. The results further show evidence of asymmetric effects of crop production, fossil fuel energy consumption, and economic growth on CO₂ emissions. Moreover, the effects of both positive and negative shocks in economic growth are elastic, suggesting that CO₂ emissions respond in a larger magnitude to a 1% positive or negative shock in economic growth. While the positive shock to crop production and economic growth stimulates CO₂ emissions, their negative shocks dampen CO₂ emissions. In addition, the positive (negative) shocks to fossil energy consumption exert upward (downward) pressure on CO₂ emissions. Furthermore, the asymmetric causality test divulges that a positive change in forest rents causes a negative change in CO₂ emissions and a negative change in forest rents causes a positive change in CO₂ emissions. Based on these findings, the study recommends the need for policymakers to formulate sound policies to protect the forests and transit toward clean energy consumption to minimize energy-related CO₂ emissions in the country.

Financial reform and haze pollution: A quasi-natural experiment of the financial reform pilot zones in China

Financial reform becomes a new tool for environmental governance because it can indirectly affect the environment by promoting economic and financial agglomeration and technological innovation. Despite China's aggressive financial reform pilot (FRP) policy since 2012, little is known about whether and how such policy affects haze pollution (HP). We exploit geographic and temporal variations in China's FRP policy and compile a dataset covering 284 cities over the period from 2003 to 2019. Employing a difference-in-differences (DID) approach, we document that China's FRP policy has a negative causal effect on HP in the pilot cities. The estimates obtained from an instrumental variable constructed by religious temples also support the haze-abatement effect of such policy. This effect is largely driven by advances in technological innovation and increases in economic agglomeration, while financial agglomeration is proven to have little effect. Finally, our estimate is particularly pronounced in cities with high levels of economic development, financial development and technological innovation, and that in large-sized and non-mineral resourced cities. Overall, our findings shed light on the importance of financial reform in environmental governance in a developing country.

Ecological footprint in Bangladesh: Identifying the intensity of economic complexity and natural resources

Recent years have seen a spike in the number of academics utilizing the ecological footprint as a stand-in for environmental depletion because of its extensive nature and its ability to capture the worsening of the ecosystem. Thus, this article brings a new effort to analyze the effect of Bangladesh's economic complexity and natural resources on its ecological footprint over a long period, from 1995 to 2018. Using a nonlinear autoregressive distributed lag (NARDL) model, this paper suggests that a more complex economy has a significantly positive effect on ecological footprint over the long term. If the economy is simplified, it has less impact on the environment. For Bangladesh, an increase in economic complexity of 1 unit leads to an ecological footprint increase of 0.13 units, while a drop in economic complexity of 1% causes an ecological footprint decrease of 0.41%. Results also demonstrate that both positive and negative changes in natural resources contribute to rises in environmental quality in Bangladesh, which negatively influences the country's ecological footprint. Quantitatively, a 1% increase in natural resources reduces the ecological footprint by 0.14%, whereas a 1% decrease in resources has the opposite effect, reducing it by 0.59%. In addition, an asymmetric Granger causality test confirms the existence of a unidirectional causal link from ecological footprint to a positive partial sum of natural resources and from a negative partial sum of natural resources to ecological footprint. Finally, the findings point to a two-way causal relationship between the size of an economy's ecological footprint and the complexity of its economy. Policymakers should boost technological advances and lessen operational costs by adopting an innovative Research and development framework and devoting more cash to natural resource policies that promote an adaptable ecological footprint.

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.

The impact of natural resource rent, financial development, and urbanization on carbon emission

There is a shred of evidence of environmental degradation in the form of carbon emissions to behave differently when tested with different macroeconomic variables. This paper aims to examine the long-run and short-run association between natural resource rent, financial development, and urbanization on carbon emission from the context of the USA during 1995-2015 with the help of a contemporary and innovative approach named quantile autoregressive distributed lagged model (QARDL). The stated approach is applied due to the fact that non-linearity is observed for the study variables. The findings indicated that the higher financial development (0.304), natural resource rent (0.102), and urbanization (0.489) have a positive impact on the environmental degradation in the region of USA during long-run estimation in the stated quantiles of the study. This would indicate that higher financial development, urbanization, and natural resources are putting more environmental pressure on the economy of the USA. Similarly, the findings under short-run estimation confirm that past and lagged values of carbon emission, financial development, natural resource rent, and urbanization are significantly determining the current values of the carbon emission. For this reason, it is suggested that the government requires some immediate steps of the USA to control the harmful effect of such financial development, more urbanization, and higher natural resource rent as well. This would indicate the reflection of some green strategies in all three explanatory variables to generate some fruitful environmental outcomes.

An econometric evaluation of the effects of economic growth, energy use, and agricultural value added on carbon dioxide emissions in Vietnam

Global climate change caused by Greenhouse Gases (GHGs), particularly carbon dioxide (CO₂) emissions, poses incomparable threats to the environment, development and sustainability. Vietnam is experiencing continuous economic growth and agricultural advancement, which causes higher energy consumption and CO₂ emissions. Understanding Vietnam’s sensitivity to climate change is becoming more crucial for governments trying to reconcile climate change mitigation and sustainable development. Analyzing pollution-development trade-offs can help minimize environmental degradation in Vietnam. Therefore, the present study empirically investigated the nexus between economic growth, energy use, agricultural added value and CO₂ emissions in Vietnam. To investigate the short-run and long-run relationships between the variables, this study employed the autoregressive distributed lag (ARDL) technique and the Vector Error Correction Model (VECM) using the time series data from 1984 to 2020 for Vietnam. The empirical findings indicated that economic growth and energy use trigger environmental degradation by increasing CO₂ emissions, whereas enhancing agricultural added value improves Vietnam’s environmental quality by reducing CO₂ emissions in both the long-run and short-run. The estimated results are robust compared with alternative estimators such as dynamic ordinary least squares (DOLS), fully modified least squares (FMOLS), and canonical cointegrating regression (CCR). This research contributes to the existing literature by shedding light on the potential of agricultural added value to reduce emissions in Vietnam and provides policy recommendations in areas of low-carbon economy, promoting renewable energy, and sustainable agriculture that can reduce CO₂ emissions in Vietnam.

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.

Does geothermal energy and natural resources affect environmental sustainability? Evidence in the lens of sustainable development

Climate change and global warming have been driven by a rise in carbon dioxide (CO₂) concentrations in recent decades, posing a danger to environmental sustainability. Thus, this research scrutinizes the effects of two types of energy (coal and geothermal) and natural resources on CO₂ emissions in 10 newly industrialized countries (NICs). The study also considers the role of financial globalization using a data between 1990 and 2019. This research applied a fresh nonparametric econometric technique termed "method of moments quantile regression (MMQR)." This approach is resistant to outliers and produces an asymmetric connection between variables. Furthermore, the long-run estimators (AMG and CCEMG) are employed as a robustness check. The findings reveal that natural resources, coal, and economic growth contribute to the degradation of the environment in the NICs in all quantiles (0.1-0.90). However, geothermal energy aids in enhancing environmental sustainability at all quantile distributions (0.1-0.90). Our findings are robust with alternative methods (AMG and CCEMG). The research's outcomes have the potential to help NICs nations design policies. Finally, based on the research results, a policy framework is proposed to solve the objectives of SDGs 7 and 13.

The roles of energy, natural resources, agriculture and regional integration on CO2 emissions in selected countries of ASEAN: does political constraint matter?

This paper empirically examines the effects of energy, natural resources, agriculture, political constraint and regional integration on CO₂ emissions in four ASEAN (Association of Southeast Asian Nations) countries of Cambodia, Malaysia, Indonesia and Thailand. We distinguish between renewable and fossil fuel energy consumption to see their individual impacts on CO₂ emissions. The study employed a panel data from 1990 to 2019 derived from sources such as World Development Indicators, which were then analysed using Common-Correlated Effect Mean Group (CCEMG) and Augmented Mean Group (AMG) estimates. The findings show that renewable energy consumption has a negative impact on CO₂ emissions while fossil fuel energy degrades the environment. The role of natural resources was found to be favourable for environmental quality with the impact of agriculture being found to be detrimental. For regional trade integration, its influence was not significant enough to offset CO₂ emission. Furthermore, we discovered that political constraint induces CO₂ emission. Based on the result, it is recommended that the selected ASEAN countries promote the use of renewable energy and clean technologies in their manufacturing processes, conserve natural resources, adopt eco-friendly political policies and intensify regional integration to accelerate the achievement of the SDGs.

Nonlinear and nonparametric causal relationship between financial inclusion and sustainable environment in South Asia

This study analyzes the causal connection between financial inclusion and carbon emission in selected South Asian countries through a quantile technique-based linear Granger and non-parametric causality test. The analysis of the study covers quarterly data from 1980 Q1 to 2019 Q4. However, the linear Granger causality assessment outcome does not indicate any causal relationship between financial inclusion and carbon emission. In contrast, results from non-parametric assessment reveal a non-linear connection between the variables. The non-parametric test results of the South Asian countries exhibit that financial inclusion leads to carbon emission, which instigates the deterioration of the environment, except for Bhutan. Subsequently, creating awareness by promoting renewable energy resources is essential while investing in fuel-efficient technology to reduce the dependence on fossil fuels. The results of this study provide significant information to the governments and policymakers in emerging countries to improve financial literacy among people to reduce the risk of global warming by encouraging investment in energy-efficient resources.

Analysing the influence of foreign direct investment and urbanization on the development of private financial system and its ecological footprint

In this research, the objective is to examine how private financial development, urbanization and foreign direct investment and economic growth affects the environment using the ecological footprint as an indicator. Panel data was used for 100 countries from 1980 to 2019, classified according to their income level. Several econometric steps were used to estimate the results, such as cointegration and causality techniques. The results show that the private financial system and environmental degradation have a long-term equilibrium relationship, and the incidence is positive, but not significant at the level of the 100 countries. In high-income countries, the private financial system reduces environmental degradation; however, in upper middle-income, lower middle-income and low-income countries, it increases in the long run. Likewise, urbanization plays a predominant role on the ecological footprint in the long term. Meanwhile, the role of foreign direct investment is not stable over time. The causality test shows bidirectional causality between environmental degradation and the private financial system at the global level in high- and upper middle-income countries. However, low-income countries have a unidirectional relationship of environmental degradation to the private financial system. With regard to foreign direct investment, there is a unidirectional causal relationship between environmental degradation and foreign direct investment at the global level and from foreign direct investment to environmental degradation in high-income countries.

The nexus between digital finance and carbon emissions: Evidence from China

Finance is significant support for the low-carbon transformation of the real economy, in which digital finance as a new direction of financial development exerts a significant influence on carbon emissions. Therefore, it is crucial to investigate the association between digital finance and carbon emissions in order to develop carbon reduction strategies from the financial side. For this purpose, using the sample set covering 30 provincial areas during 2011–2020, this paper investigates the direct, indirect, and non-linear effects of digital finance on carbon emissions by applying fixed effects, mediating effects, and threshold effects analysis techniques. The results indicate that: (1) digital finance can significantly mitigate carbon emissions at the national level. (2) Digital finance inhibits carbon emissions as it drives green technological innovation and industrial structure upgrading. (3) Significant regional heterogeneity is observed in the effect of digital finance on carbon emissions, i.e., the effects of digital finance on carbon emissions are higher in the east-central region than in the overall sample, while the opposite is true in the western region. (4) The dampening effect on carbon emissions steadily increases as digital finance levels cross the first and second thresholds, respectively. Based on the above considerations, policymakers shall not only develop differentiated digital finance initiatives, but shall also fully unleash carbon emission reduction potential by rationalizing and optimizing industrial layout and strengthening financial subsidies for green technology innovation.

The nexus of financial development, natural resource rents, technological innovation, foreign direct investment, energy consumption, human capital, and trade on environmental degradation in the new BRICS economies

Early periods of history have demonstrated that enhanced economic development is fostered in instances where natural resources are abundant, hence averting the resource curse. In this vein, accelerated economic advancement is driven by a rigorous and proficient financial sector that efficiently utilises and allocates the economy's natural resources. A strong financial system that transforms resources into advantages rests on an advanced technological innovation base, superior human capital, distinct foreign direct investment, powerful trade, and sustainable energy consumption. While this paper investigates the nexus of these factors, the specific purpose of this research is to examine the interactive impact of financial development and natural resource rents on carbon emissions in the new BRICS economies for the duration of 1990 to 2019. The panel data generalised least squares (GLS) and the panel-corrected standard error (PCSE) techniques are adopted. The Dumitrescu and Hurlin technique is used to establish causality. The study found a U-shaped association between economic growth and emissions. The findings prove that the financial development of financial institutions and the financial development of financial markets' relationships with emissions are significantly positive. Natural resource rents, energy consumption, and human capital create a significantly positive relationship with emissions (mostly just positive for technological innovation). Conversely, the connection involving trade and carbon emissions is significantly negative (but mostly just negative for FDI). The interaction (s) intervening financial development of financial institutions and financial development of financial markets with natural resource rent significantly lowers emissions, respectively. The interaction parameter (financial development of financial institutions, natural resource rent, and financial development of financial markets) mixed with trade significantly adds emissions (positively insignificant with energy consumption). Contrarily, this factor mixed with human capital and technological innovation, respectively, is significantly negative (just negative for FDI). The Dumitrescu-Hurlin panel Granger causality outcomes are also outlined.

Exploring the moderating effect of globalization, financial development and environmental degradation nexus: a roadmap to sustainable development

Financial development is a multidimensional process that contributes to economic growth but sometimes it has a devastating effect on climate change. No country can achieve sustainable development goals without caring the environmental quality. The present study investigates the moderating role of globalization (KOF) in determining the financial development (FD) on environmental degradation in the SAARC countries from 1990 to 2020. The long-run coefficients are estimated using the panel quantile regression (PQR) approach at lower, middle and upper quantile groups. The study shows the U-shaped relationship across three quantile groups based on financial development and carbon emissions. The moderator globalization (KOF) brings up the change in the turning point and flattens before the maturity of the U-shaped curve at the middle quantile while flattens after the maturity of the U-shaped curve at the upper quantile. The study recommends that by using energy-efficient technologies, better financial sector interaction with globalization enhances the environmental quality in SAARC countries.

The role of green finance and energy innovation in neutralizing environmental pollution: Empirical evidence from the MINT economies

Pursuing ecological sustainability while mitigating the effects of environmental pollution has become a global pursuit. Moreover, the issue of how emerging economies like Mexico, Indonesia, Turkey, and Nigeria (MINT) economies can significantly reduce environmental pollution (EVP) remains elusive. This study sought to investigate the interplay between economic growth, green finance, renewable energy use, natural resource rent, energy innovation, urbanization and environmental pollution by analyzing panel data from 1990 to 2020. This research employed the novel econometrics approach CS-ARDL to examine the short and long-term relationships among the series. The research outcome disclosed that economic growth, natural resource rent and urbanization increase environmental pollution. In contrast, the empirical findings of this study revealed that environmental pollution could be neutralized through effective mechanisms such as green finance, renewable energy consumption, and the promotion of energy innovation. This research provides a fresh insight from the MINT economies and contributes to the existing literature by examining factors contributing to environmental pollution. This research also provides a benchmark for policy-makers and governments to invest in environmentally-friendly technologies to exploit the natural resources in these countries to mitigate the effect of environmental pollution.

Associating Renewable Energy, Globalization, Agriculture, and Ecological Footprints: Implications for Sustainable Environment in South Asian Countries

The main purpose of this work is to investigate the impacts of globalization (GL), renewable energy (RE), and value-added agriculture (AG) on ecological footprints (EF) and CO₂ emissions. For quantitative analysis, this research paper includes yearly data from 1990-2018 for four South Asian nations: Bangladesh, India, Pakistan, and Sri Lanka. These countries are most vulnerable to climate hazards and rapid economic transitions. The Westerlund test provides a strong association among the panel data. The findings of ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) show that RE is lowering CO₂ emissions and EF in the long run. A 1% increase in RE results in a 10.55% and 2.08% CO₂ decrease in emissions and EF, respectively. Globalization and AG are contributing to environmental degradation in selected South Asian countries. Therefore, these countries need to exploit solar energy to its full capacity. Moreover, these countries need to explore more RE resources to reduce their dependence on non-RE sources. These countries can make their agricultural sectors sustainable by following efficient farming practices. Environmental awareness should be enhanced among the farmers. Farmers can use animal fertilizers and clean inputs in AG to achieve sustainable agricultural products. Overall, this work suggests that these countries can achieve a cleaner environment by adopting RE and by promoting efficient technologies through globalization.

Research on cost accounting of enterprise carbon emission (in China)

Enterprises in China face two major challenges about their existence and energy supply at present. One is the difficulty in providing enough energy at an acceptable and reasonable price; the other is a severe environmental issue caused by over-consumption of energy. The government and relevant enterprises, therefore, mainly focus on carbon emission reduction, and the cost accounting of carbon emission, an essential prerequisite, and object of carbon emission reduction, should be further attention. The carbon emission cost is divided into internal cost and external cost, combined with the extended accounting model and cost calculation. This can comprehensively measure and reflect the two costs of the life cycle of the product, provide more relevant data and information support for the deepening and development of the circular economy, and provide an effective cost information basis and guide enterprise managers for scientific decision-making and governance.

Agriculture, globalization, and ecological footprint: the role of agriculture beyond the tipping point in the Philippines

This study is hinged on analyzing factors such as agriculture and globalization (de jure trade and financial) that threaten a sustainable environment using two proxies of ecological footprint: carbon and noncarbon ecological footprint in the Philippines while controlling for the influence of fossil to GDP, economic growth, urban population, and financial development using the autoregressive distributed lag (ARDL) framework. The result provides evidence of long-run stable state among the variables. The result validates inverted U-shaped pattern of EKC involving relationship between agricultural development and ecological footprint for the Philippines indicating that initially, ecological footprint increases as the agriculture develops and then declines as the agriculture matures to generate efficiency and low carbon. In addition, this study explores elasticities of the variables using ARDL, FMOLS, DOLS, and CCR procedure and found that de jure financial globalization exerts positive influence on ecological footprint in the long run. De jure trade globalization is found to be negative and significant in the long run. It is also found that agricultural level operates below the threshold level required to maximize the growth benefits of agricultural system towards mitigating environmental sustainability. Further empirical result shows a positive relationship between economic growth, fossil fuel, urban-population growth, and ecological footprint, and negative insignificant relationship between credit to private sector and ecological footprint. The government should optimize the use of agricultural land through well-articulated economic integration strategy fashioned to pave way for cleaner and low-carbon technologies sources like solar, geothermal, biomass, biogas, tidal power, photovoltaic, and wind energy in the agricultural production to avoid further deterioration of the environment.

Determining the factors of ecological footprints in South Asian countries: exploring the role of renewable energy and forest area

This work investigates the associations of ecological footprints (EF), forest area (FOR), renewable energy (RE), non-renewable energy (EU), financial development (FD), and agricultural value add (AGR) in South Asian economies. The annual data of 1990-2018 is used for analysis. This work uses robust second-generation econometric methodologies. After the validation of cross-sectional dependence (CD), the stationarity test shows stationarity at the level and first difference. The co-integration test shows strong co-integration among the panel data, and the results of cross-sectional autoregressive distributed lag (CS-ARDL) show that renewable energy, forest area, and FD are environmentally friendly in Pakistan, Bangladesh, Sri Lanka, and India. The use and promotion of renewable energy in the agricultural sector are suggested. Moreover, agricultural policies need to revise in these countries. FD and forest areas are helpful to mitigate environmental degradation. Therefore, the preservation of forest areas is compulsory for South Asian countries.

Transportation moderation in agricultural sector sustainability - a robust global perspective

The agriculture sector creates nearly a quarter of the total GHG emissions globally as production and transportation activities in the agriculture sector mostly use fossil fuels, creating carbon emissions. In this regard, it is highly important to study the environmental sustainability of agriculture sector growth by using the theory of environmental Kuznets curve (EKC). Furthermore, this research study is aimed to assess the moderation role of transportation competitiveness in determining the carbon emissions of transportation sector by using agriculture sector value addition. The study uses panel quantile regression technique for data analysis of 121 countries by covering time period from 2008 to 2018. The study results validated the agricultural EKC across four different quantile groups based on carbon emissions of transport sector. The moderation of transportation competitiveness is observed in changing the turning point and flattening of agricultural EKC indicating the early achievement of maturity. The quality of institutions and planned increase of population can help reduce carbon emissions of transportation sector. The moderation of transportation competitiveness implicates the importance of planning and efficiently operating the transportation sector to mitigate carbon emissions.

Spatial impact of foreign direct investment on ecological footprint in Africa

This study examines the spatial impact of FDI on ecological footprint of 31 African countries. In achieving this, the study uses the Driscoll-Kraay (1998) random effect model, fixed-effect instrumental variable regression, and the spatial Durbin model. There are three main important findings from this empirical study. First, FDI has a nonlinear impact on ecological footprint in Africa. At the initial stage, FDI reduces ecological footprint up to a threshold of $404.75-$669.96 million, before the impact increases ecological degradation. This result is robust to the instrumental regression model. Second, the results further reveal a significant spatial spillover of FDI on ecological footprint in Africa. Third, the empirical results provide evidence of both direct and spillover effects of environmental degradation determinant in Africa. This denotes that environmental quality of a particular country influences the environmental quality of other neighbouring countries. While it is important to attract significant amount of foreign investment to Africa, this study recommends that African governments need to improve their environmental regulations and laws to achieve transfer of energy-saving technology from foreign investors.

Roles of natural resources, globalization, and technological innovations in mitigation of environmental degradation in BRI economies

The environmental issue has become a global problem that needs to be examined frequently, motivating researchers to investigate it. Thus, the present study has investigated the asymmetric impact of natural resources, technological innovation, and globalization on the ecological footprint in the presence of environmental Kuznets curve (EKC) in Belt and Road Initiative (BRI) economies. This research divided the BRI economies into high income, middle-income, and low-income levels to capture income differences. The study has used annual time series data from 1990 to 2018. The study applied a novel Augmented Mean Group estimators method to calculate the robust and reliable outcomes. The findings show that natural resources drastically damage the environment quality, whereas technological innovations are helpful in reducing environmental degradation. Moreover, the result of the interaction term (natural resources and technological innovations) negatively impacts the ecological footprint. Interestingly, these findings are similar in the three income groups. In addition, globalization improves environmental quality in the middle-income BRI economies but reduces in high-income, low-income, and full sample countries. Furthermore, the Environmental Kuznets Curve (EKC) concept has been validated across all BRI economies. In line with these findings, several relevant policies are recommended for a sustainable environment in the BRI economies.

Renewable Energy and Carbon Emissions: New Empirical Evidence from the Union for the Mediterranean

This approach focuses on the renewable energy–carbon emission nexus by delivering new empirical evidence from 37 members of the Union for the Mediterranean. The approach makes use of panel data for the period 2002–2018 and uses panel data econometrical approaches, which are panel random effects regression, feasible generalized least squares regression, and the difference-generalized method of moments estimation, to understand how agricultural activity, economic growth, and renewable energy use impact carbon emissions. The results indicate that economic growth increases carbon emissions, whereas renewable energy use decreases them. In addition, separate analyses for EU and non-EU members indicate that agricultural activity has a significant negative effect only for the non-EU countries, which is further discussed with some relevant empirical evidence. The approach utilizes three fields of policy action. Firstly, economic growth comes to the Union countries with a cost—carbon emissions. Policymaking needs to include strategies to turn growth into sustainable growth. Secondly, the magnitude of the impact of economic growth on carbon emissions is greater than the magnitude of the impact of renewable energy. Research and development efforts need to improve this situation. Thirdly, the use of appropriate tools and technologies can decrease the carbon footprint of agricultural activity.

The asymmetric effects of crops productivity, agricultural land utilization, and fertilizer consumption on carbon emissions: revisiting the carbonization-agricultural activity nexus in Nepal

Agriculture plays an integral part in facilitating socioeconomic development in Nepal. However, it is also associated with environmental concerns which need to be controlled for the sake of ensuring environmental and agricultural sustainability in tandem. Against this backdrop, this current study aims to check whether shocks to the levels of agricultural productivity, land utilization for crop production, and fertilizer consumption influence the carbon dioxide emission figures of Nepal over the 1965-2018 period. The long-run associations between these variables are confirmed from the cointegration analysis. Besides, the outcomes from the asymmetric non-linear autoregressive distributed lag regression analysis show that crop productivity does not influence the emission levels in Nepal. However, a decline in the land area used for crop production purposes is evidenced to trigger higher emissions of carbon dioxide both in the short- and long run. On the other hand, higher fertilizer consumption is found to boost the short- and long-run carbon dioxide emission levels in Nepal. Accordingly, considering the objective of reducing agriculture-based emissions, this study recommends the Nepalese government to adopt policies that can enhance the productivity of low energy-intensive crop production, stimulate green agriculture and non-agriculture activities, and minimize the use of chemical fertilizers in arable lands.

Growing green through biomass energy consumption: the role of natural resource and globalization in a world economy

Energy consumption supports the basic needs of society. The way energy is produced matters for the global economy and environmental quality. The present study explores the impact of biomass energy consumption on environmental quality across heterogeneous income groups over the period 1971-2018. The cointegration is analyzed through the Wester-Lund cointegration test. The study used Fully Modified (FMOLS) and Dynamic Ordinary Least Squares (DOLS) to examine the long-run relationship between biomass energy and environmental quality in the presence of economic growth, urbanization, natural resource, and globalization. The results validate the potential of biomass energy consumption for emission reduction in the high-income group while environmental deteriorating role in upper-middle-income, lower-middle-income, and low-income groups. Our empirical findings support an inverted U-shaped relationship in the high-income and upper-middle-income groups while a U-shaped relationship between income and environmental quality exists in lower-middle-income and low-income groups. Globalization improves environmental quality in high-income and upper-middle-income groups while resulting in higher emissions in lower-middle, and low-income economies. Natural resource rent degrades the environment in high-income economies while lowering emissions in upper-middle, lower, and low-income economies. The results from Pooled Mean group and Driscoll Kray estimation also support these findings.

Heterogeneous impacts of financial development on carbon emissions: evidence from China's provincial data

The effect of financial development on carbon emissions is a hot topic. Although some researches study the heterogeneous impacts of financial development on carbon emissions at the country level, few paper has investigated their heterogeneous relations within the same country. This paper, applying geographically and temporally weighted regression (GTWR), studies the spatial-temporal heterogeneity of the impacts of financial development on carbon emissions across China's 30 provinces from 2003 to 2017. The results show that financial development proxied by bank credit indicators curbs carbon emissions in most provinces most of the time, while that proxied by stock market indicator exhibits nonlinear relationships in most provinces, such as U-shaped, inverse U-shaped, and inverse N-shaped. The paper concludes first that financial development proxied by different indicators may exert varied impacts on carbon emissions. Second, the impact of financial development on carbon emissions shows great heterogeneity among different provinces and different years: it may be curbing or increasing, and even it is curbing, its curbing effects differ greatly across provinces and years. Third, the impact of financial development on CO2 is not always monotonic; instead, it may be nonlinear. Regional segmentation of financial markets may explain the heterogeneity. Some policy suggestions are also given.

Environmental concerns of financial inclusion and economic policy uncertainty in the era of globalization: evidence from low & high globalized OECD economies

Environmental consequences of financial aspects, policy uncertainties and rapid globalization is the topic of intense debate in present years. However, this study contribute to existing literature in an innovative way. We classified the 33 OECD economies in two group's lower globalized economies (LGE) and highly globalized economies (HGE), based on their level of globalization. Considering the cross-sectional dependency and slope heterogeneity in the data this study employed the Augmented Mean Group method to estimate the influence of financial inclusion, economic policy uncertainty and globalization on the environment quality of both groups for the period 1996-2019. The results revealed a negative significant impact of financial inclusion, while a positive significant impact of economic policy uncertainty on CO2 emissions in both groups, LGE and HGE. However the globalization estimated to have positive impact on CO2 emission in LGE's, in HGE's it is significantly impeding the CO2 emission. The interaction of globalization with financial inclusion and economic policy uncertainty respectively found negative and positive to effect the CO2 in both LGE's and HGE's. The study suggests that, LGE's are need to prepare for economic globalization, move toward adopting energy-efficient technology and promote trade in less-polluting products in order to sustain their environment quality. The outcomes of this study are robust by employing different model specifications.