The role of remittance inflow and renewable and non-renewable energy consumption in the environment: Accounting ecological footprint indicator for top remittance-receiving countries

Relationship among micro-pollutants, economic growth, renewable energy, nanotechnology and ecological foot prints of China: evidence from panel data analysis

An important concern is the availability of clean drinking water, which is an essential need for human survival. This issue arises due to the existence of hazardous micropollutants originating from various emission sources. Nanotechnology aids in the mitigation of micropollutants by assimilating and counteracting their effects, hence diminishing their influence on water and other ecosystems. The study investigates the relationship between nanotechnological progress, the adoption of renewable energy, environmental consequences, and economic growth in China, using the Environmental Kuznets Curve theory as a conceptual framework. The study employs panel cointegration tests to analyze structural breaks from 2000 to 2020. Nanotechnology is expected to reduce environmental degradation and the presence of micro-pollutants by increasing the use of renewable energy and promoting energy conservation. Nanotechnology is crucial for mitigating micro-pollutants and advancing sustainable development in this specific context. However, the literature also highlights the harmful consequences of nanoparticle emissions caused by nanotechnology on human and environmental health for a long duration, requiring more examination. This research is the first empirical inquiry into the relationship between improvements in nanotechnology, the use of renewable energy, economic growth, and ecological effect, all within the context of the Environmental Kuznets Curve theory. The results confirm the successful incorporation of all components with a focus on long-term outcomes. The findings suggest that the EKC hypothesis is relevant in China. In China, advancements in nanotechnology have a moderating effect on environmental degradation. The use of renewable energy sources in China enhances environmental circumstances. Given the offered empirical evidence, it is advisable for the government to have a leading role in the development of innovative nanotechnologies that have low emissions of nanoparticles. By using this approach, it will be possible to encourage the conservation of energy and the use of renewable sources in a more secure way, hence improving the effectiveness of sustainable development initiatives.

From brown to green: are Asian economies on the right path? Assessing the role of green innovations and geopolitical risk on environmental quality

Preserving the sustainability of the natural environment has emerged as a critical focus on policy agendas worldwide. Therefore, this study examines the relationship between environmental quality and key determinants, focusing on geopolitical risk (GPR), green innovations (GI), economic growth, FDI, renewable energy consumption, and urbanization. Dataset is used for the time period of 1990-2020 across selected Asian economies including China, India, Japan, Malaysia, and South Korea. Using load capacity factor (LCF) as a comprehensive proxy for environmental quality, the research utilizes panel quantile regression (QR) to provide empirical outcomes. Results of panel QR method reveal a negative impact of economic growth and GPR on LCF. On the other hand, green innovation, FDI, and renewable energy are found as supportive factors to boost environmental quality. In addition, urbanization also shows positive linkage with LCF. The application of Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) further validates the robustness of the findings. Adoption of green innovations, practicing sustainable growth patterns, transition toward cleaner energy practices, and integrated urban planning are advocated to enhance environmental quality among Asian nations. Based on empirical findings study suggests comprehensive policy measures that can help in achieving sustainable development goals (SDGs) including SDG-7 (energy efficiency), SDG-8 (sustainable economic growth), SDG-11 (sustainable cities), and SDG-13 (climate action) among Asian countries.

Does renewable energy improve environmental quality? Evidence from RECAI countries

Since 1990, the ecological footprints have been increasing significantly with a continuous increase rate, which led to challenges to environmental quality. The basis for economic growth was said to be the shift of energy and environmental strategies toward a sustainable future. Indeed, it became a matter of proclaimed acceptance that environmental challenges nurtured expansion, innovation, and competitiveness. Climate change is the most pressing issue being faced by the world due to an increase in ecological footprint from 7.0 billion to 20.6 billion GHA. It indicates the seriousness of environmental degradation; therefore, nations need to ensure environmental sustainability. Keeping this in mind, the present research mainly aims to examine the impact of renewable energy utilization on the ecological footprints of RECAI economies, spanning the period from 1990 to 2020. To significantly achieve the research objective, we utilized panel econometric methods for empirical analysis. The results of long-run elasticities indicate that both renewable energy utilization as well as trade openness significantly controls the ecological footprints, while higher conventional energy utilization and economic growth significantly impede environmental sustainability. The empirical findings provide new insights for policymakers on renewable energy for the betterment of environmental quality in RECAI countries.

An empirical analysis of the impact of renewable and non-renewable energy consumption on economic growth and carbon dioxide emissions: evidence from seven Northeast Asian countries

Oil and natural consumption are non-renewable energy sources that are the main drivers of economic growth, but these energy sources are also the main causes of environmental degradation in Northeast Asian countries. The main objective of this study is to examine the impact of renewable energy consumption, non-renewable energy consumption on CO₂ emissions, and economic growth in seven selected Northeast Asian countries during the period 1970-2020. First, the cross-sectional dependence test recommended by Pesaran, Ullah, and Yamagata (2008) concludes that there is no cross-sectional dependence in the panel data model, so it is feasible to use the first-generation panel data methods. Later, cointegration tests proposed by Pedroni (Oxford Bull Econ Stat 61:653-670, 1999, Economet Theor 20:597-625, 2004), Kao (J Econom 90:1-44, 1999), and Westerlund (2007) were adopted, revealing long-term cointegration relationships among model panel variables. Long-term variable coefficient elasticities were detected using the estimation techniques of panel fully modified ordinary least squares (FMOLS) and panel dynamic ordinary least squares (DOLS). Two-way causality of variables was detected using the Dumitrescue-Hurlin (Econ Model 29:1450-1460, 2012) panel causality test. The results of the analysis highlight the significant progressive effects of renewable energy consumption, nonrenewable energy consumption, employed labor force, and capital formation on long-run economic growth. The study also concluded that renewable energy consumption significantly reduced long-term CO₂ emissions, while non-renewable energy consumption significantly contributed to long-term CO₂ emissions. Estimates from the FMOLS technique reflect a significant progressive effect of GDP and GDP³ on CO₂ emissions, while GDP² has a significant adverse effect on CO₂ emissions, thus validating the N-shaped EKC assumption in selected group of countries. Furthermore, the feedback hypothesis is supported based on the two-way causality between renewable energy consumption and economic growth. Strategically, this evidence-based empirical study demonstrates that renewable energy is a valuable process that can protect the environment and contribute to future economic growth in selected countries by addressing energy security and reducing carbon emissions.

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.

Revisiting the environmental impact of renewable energy, non-renewable energy, remittances, and economic growth: CO2 emissions versus ecological footprint for top remittance-receiving countries

The study examined the impact of renewable energy, non-renewable energy, remittances, and economic growth on environmental degradation from the perspective of carbon dioxide emissions (CO₂) and ecological footprint for the top 50 remittance-receiving countries for 1991-2018. This study simulates the environmental future for attaining the targets of Sustainable Development Goal 7 (SDG7) using the latest datasets. This study is one of the few that empirically explores how various explanatory variables affect CO₂ and ecological footprint. The study employed the pool mean group autoregressive distributive lag (PMG-ARDL), fully modified ordinary least squares (FMOLS), and dynamic ordinary least squares (DOLS) techniques for the analysis. In the long-run, non-renewable energy and economic growth have a positive impact, whereas renewable energy and remittances have a negative impact on CO₂ and ecological footprint. The impact of non-renewable energy on CO₂ and ecological footprint is more significant than renewable energy in both the short- and long-run. Most of the variables have a bidirectional causality among each other. This highlights the need for a paradigm shift towards renewable energy in the top recipients specifically for developing countries.

Evaluating the symmetric and asymmetric effects of fossil fuel energy consumption and international capital flows on environmental sustainability: a case of South Asia

South Asia is primarily affected by environmental degradation. As a result, it is worthwhile to explore the impact of international capital flows on the ecological sustainability of the South Asian region. There are many studies in the literature on the CO₂-remittances nexus, CO₂-FDI nexus, and CO₂-economic growth; however, no study has yet taken remittances and FDI into account in the symmetric and asymmetric model for the South Asian region. To address the research gap, this study investigates the effect of international capital flows, fossil fuel energy consumption, and economic growth on South Asian carbon emissions. This study examines the effect of fossil fuel energy consumption, remittances, foreign direct investment, and economic growth on the environmental sustainability of the South Asian region from 1975 to 2020. Autoregressive distributive lag (ARDL) and non-linear ARDL (NARDL) models are used to estimate the symmetrical and asymmetrical relationships among the variables. The findings of the ARDL models reveal that fossil fuel energy consumption and economic growth increase while remittances and FDI decrease carbon dioxide (CO₂) in the long run. According to the NARDL empirical findings, positive remittances and negative FDI shock reduce CO₂. Besides, the positive and negative fossil fuel energy consumption shock increases CO₂. Moreover, the positive (negative) economic growth shock increases (decreases) CO₂. The cumulative dynamic multipliers revealed the adjustment pattern to new long-run equilibria. The study recommends that policymakers regard remittances and FDI as policy instruments, particularly when developing long-term strategies and policies connected to environmental quality.

The spatial impact of digital economy on energy intensity in China in the context of double carbon to achieve the sustainable development goals

Using the provincial panel data of China during 2012-2019, the present study employed spatial Durbin error model to explore the spatial effect of the digital economy on energy intensity. The results show that both digital economy and energy intensity have spatial autocorrelation, showing the distribution characteristics of spatial aggregation. The digital economy has a significant negative influence on energy intensity. The result shows a significant spatial spillover effect of digital economy on energy intensity, and the development of the digital economy in neighboring regions reduces energy intensity in the central region. Additionally, industrial structure, urbanization, energy price, and foreign direct investment have a heterogenous impact on energy intensity. Thus, it is crucial to give importance to the development of the energy intensity, plan the spatial layout of the digital industry as a whole, drive the coordinated growth of the regional digital economy, quicken the upgrading of industrial structure, promote urbanization, perfect the energy price formation mechanism, raise the entry threshold for foreign direct investment, to effectively reduce the energy intensity, and facilitate the smooth realization of the "double carbon" goal.

Environmental sustainability through renewable energy and banking sector development: policy implications for N-11 countries

Climate change has become an alarming condition for developed and developing countries. The main reason for this is the use of non-renewable energy (RE) in economic sectors. Therefore, the world economies are now replacing non-renewable with RE. The role of BANKs is fundamental for this transition because they can fund clean energy projects. Several studies probed the economic growth andCO2e association and ignored the role of BANK development. Therefore, this work investigates the influences of banking sector development on CO2 emissions (CO2e) in the next eleven countries. This work included other factors of GDP, clean energy, and non-RE in the model by taking annual data from 1990 to 2020. Robust econometric techniques are used to highlight the empirical outcomes. The cross-sectional autoregressive distributed lag approach shows that BANK development is a coproduction factor toward CO2 production in the presence of economic development and renewable and nonrenewable energy. More credits from banks to the private sector are enhancing economic activity and increasing energy consumption. This means that a 1% increase in BANK development will increase CO2e by 0.01%. A 1% increase in RE is lowering CO2e by 0.31%. Therefore, this work highlights the importance of BANK development in creating sustainable development. The BANK can fund clean energy projects. Policymakers can utilize the BANK to encourage green investments in household and corporate sectors. The use of green technologies will ultimately bring a cleaner environment and sustainable development to N-11 countries. This work is helpful for policymakers in that they can utilize the banking sector to launch greener projects to attain sustainable development goals.

The Scheme of Ecological Environment Governance under International Discourse Power from the Perspective of Ecological Civilization

Ecological civilization construction is an important field of global ecological environment governance, and biodiversity is an important foundation of ecological civilization construction. In the process of building international discourse power of ecological civilization, governments, enterprises, and individuals should attach great importance to ecological environmental protection. Especially in the context of the new era, the promotion of international discourse power of ecological civilization and the governance of ecological and environmental problems must be in the process of further consolidating the foundation of ecological economy, paying particular attention to the management of enterprise ecological and environmental costs. Therefore, from the perspective of practical research, fuzzy analytic hierarchy process is used to comprehensively evaluate enterprise environmental cost management. Through research, the importance of enterprise environmental cost management and the help to ecological environment management are proved, and on this basis, ecological environment management countermeasures are put forward.

Linking shadow economy and CO2 emissions in Nigeria: Exploring the role of financial development and stock market performance. Fresh insight from the novel dynamic ARDL simulation and spectral causality approach

First and foremost, the present study seeks to traverse the informal sector characterized by a shadow economy in the presence of financial development, economic growth, and stock market performance on environmental pollution in Nigeria from 1981 to 2019. The dynamic autoregressive distributed lag (DARDL) approach was used to measure the short- and long-run elasticities, while spectral causality is applied to categorize the causal directions. Findings from the study revealed that the structural break unit root test revealed that all variables are stationary at first difference. The ARDL bound test confirmed the existence of long-run association among the used variables. The ARDL long-run results reveal that economic growth, financial development, and stock market performance are significantly responsible for carbon emission in Nigeria, while the shadow economy significantly improves environmental quality in Nigeria. Findings from the spectral causality results show a unidirectional causal relationship between financial development, economic growth, trade, stock market performance, and shadow economy to carbon emission in Nigeria. The empirical findings of this study provide some perceptive policy recommendations to overcome the adverse effect of carbon emissions in the environment.

Determinants of renewable energy sources in Pakistan: An overview

For successive economic growth of any society, sustainable energy plays a pivotal role. Considering this view, developing countries are facing serious challenges of energy at the present time. However, policymakers have outlined numerous policies to satisfy energy demand but still remain incapable to fill the gap between demand and supply. At a halt, 11% of the world population lacks access to different formulae of energy supply and access. Additionally, in different time periods, distinct policies have erupted for the progress of renewable energy. It includes especially those households of the far-flung areas having no gas and electricity availability. However, the basis of this research study is to determine the significant renewable energy source for Pakistan's economy with the economic benefits such as job creation in energy sector. This research study aims in finding ways to secure energy supplies and achieving economic benefits. The research study concludes by engaging renewable energy technologies with the least operational and externality cost that is the utmost choice in the future. In policy perspective, Pakistani government should take actions in favor of renewable energy and technological innovation that necessitates biomass resources to be tied to non-sustainable prolonged investments.

The impact of environmental regulations on export trade at provincial level in China: evidence from panel quantile regression

Based on panel data from 30 provinces in China from 2008 to 2017, this paper constructs a quantile regression econometric model to analyze whether China's environmental regulation has an impact on export trade and to verify whether the Porter hypothesis has been valid in China in recent years. The results show that in the short term, environmental regulations have a restraining effect on export trade, while in the long run, due to the existence of innovation efficiency, environmental regulations will change from having a restraining effect to a promoting effect on export trade. Strict environmental regulations will reduce the production cost of Chinese products, further improve the export competitiveness of Chinese enterprises, and promote export trade. The empirical results verify the conclusion that the Porter hypothesis is confirmed in China. The following three suggestions are proposed for China's exports to promote the win-win of China's green development and export trade: promote the realization of international and domestic double circulation, avoid becoming "pollution shelters" and support technological innovation in environmental protection industries.

Forecasting carbon emissions due to electricity power generation in Bahrain

Global warming and climate change have become one of the most embarrassing and explosive problems/challenges all over the world, especially in third-world countries. It is due to a rapid increase in industrialization and urbanization process that has given the boost to the volume of greenhouse gases (GHGs) emissions. In this regard, carbon dioxide (CO2) is considered a significant driver of GHGs and is the major contributing factor for global warming. Considering the goal of mitigating environmental pollution, this research has applied multiple methods such as neural network time series nonlinear autoregressive, Gaussian Process Regression, and Holt's methods for forecasting CO2 emission. It attempts to forecast the CO2 emission of Bahrain. These methods are evaluated for performance. The neural network model has the root mean square errors (RMSE) of merely 0.206, while the Gaussian Process Regression Rational Quadratic (GPR-RQ) Model has RMSE of 1.0171, and Holt's method has RMSE of 1.4096. Therefore, it can be concluded that the neural network time series nonlinear autoregressive model has performed better for forecasting the CO2 emission in the case of Bahrain.

Impact of globalization on CO2 emissions based on EKC hypothesis in developing world: the moderating role of human capital

In the last 3 decades, developing economies continuously have increased their manufacturing industries with an impressive growth rate. Rising the trend of globalization, these underdeveloped economies are receiving economic growth at the cost of environmental degradation. In this context, this study investigates the impact of globalization and human capital on carbon emissions (CO₂) in the 78 developing economies from 1990 to 2016. Our findings based on robust system generalized method of moments (GMM) indicate that human capital and political globalization significantly reduce environmental degradation while economic, social, and overall globalization decrease the environmental quality. Furthermore, our empirical results support the inverted U-shaped environmental Kuznets curve (EKC) hypothesis. However, globalization (without interactive term with human capital) appears to have no significant association with CO₂ emissions, while (with an interactive term) it appears to have a significant negative influence on environmental quality. Moreover, our results are robust to various robustness checks; I have performed for scrutiny the consistency of our findings. This study also offers useful policy implications for stakeholders, policymakers, and governments for promoting environmental sustainability.