Does economic prosperity lead to environmental sustainability in developing economies? Environmental Kuznets curve theory

The impact of energy security on environmental degradation: new evidence from developing countries

This study investigates the energy security and income roles in testing environmental Kuznets curve (EKC) for developing countries from 1990 to 2019. The panel quantile regression approaches are employed to examine the relationship between the variables, considering that income and energy security effects on carbon emissions may vary across distributions. Findings revealed that the EKC hypothesis was inconsistent at low and high quantiles when estimating energy availability, affordability, and acceptability. The validity of inverted U-shaped EKC is supported at high quantiles for energy affordability and accessibility in developing countries. However, given the energy accessibility and acceptability, the EKC hypothesis becomes invalid in developing countries. Notably, developing countries have yet to progress toward achieving energy security as a switch component to low carbon emissions. This study contributes to the literature by revealing the effect of availability, accessibility, affordability, and acceptability of energy security on carbon dioxide emissions (CO2). Thus, it suggests implications for improving environmental quality in developing countries by enhancing energy security. Diversifying energy sources with nuclear, renewable, and developing technologies reduces dependence risks on a single source while improving efficiency through technology and demand management lowers carbon emissions and strengthens energy security. Beyond energy security, this study emphasises sustainable urban planning to promote compact development, effective transportation, and green infrastructure to reduce energy use and improve environmental sustainability, ultimately reducing carbon emissions.

A different look at the environmental Kuznets curve from the perspective of environmental deterioration and economic policy uncertainty: evidence from fragile countries

Environmental degradation is one of the most significant issues that developing nations confront and needs to be resolved right away in order for them to achieve sustainable development. Government policies are crucial in this situation since emerging nations frequently struggle with the issue of policy ambiguity, which can result in environmental deterioration. In this context, this study investigates how policy uncertainty affects environmental degradation in the five fragile emerging economies known as the Fragile Five-Brazil, India, Indonesia, South Africa, and Turkey. Using data from 1996 to 2019, we estimate a Panel Quantile Regression analysis. The empirical findings indicate that economic policy uncertainty and technology innovation increases the environmental degradation whereas environmental degradation is slowed down by financial development and renewable energy consumption. Empirical evidence also confirms the presence of EKC hypothesis in fragile economies. Based on the findings, we suggest both a policy and an environmental framework for achieving sustainable development in fragile economies.

What are the impacts of economic complexity and product proximity on nations' circularity? An empirical approach using statistical analysis

The topic of whether economic complexity or close proximity to a product produces favorable conditions to aid nations in transitioning to the circular economy is addressed in this article. Six distinct indicators are used to assess the performance of circularity. The amount of municipal garbage, the amount of circular materials utilized, the number of circularity patents, the rate of recycling waste, the rate of recycling biowaste, and the rate of recycling electronic waste are some examples of these metrics. By using various econometric techniques (namely, a panel-corrected standard error (PCSE) model, a feasible generalized least square estimate (FGLS) model, and the two-step general method of moment (the two-step GMM), our research demonstrates how economic complexity and close proximity to a product have varied nonlinear impacts on circularity. We do, however, offer empirical proof that, particularly over the long term, a country's closeness to its products may significantly improve its performance in terms of circularity. Although economic complexity is a crucial enabler of circularity, it may also become too complicated, which could impede the process.

Enabling financial development: linking innovation and CO2 emissions through equity and credit financing

Over the past decade, financial development has been a prominent debate for stakeholders and policymakers alike. Financial development are prerequisites for innovation and CO2 emissions, followed by the Paris Climate Summit (COP21). In the wake of the global economic recession, financial development continues to address CO2 emissions efforts. However, scant attention is paid to the role of financial development in innovation and CO2 emissions relationship, especially in the context of developing countries. The current study explores the relationship between innovation and CO2 emissions through moderating role of financial development, especially in the context of developing countries. Utilizing a dynamic panel threshold approach, the current study utilizes data from 26 countries between 1990 and 2014. Our findings reveal that innovation positively impacts the reduction of carbon emissions when the stock market value-to-private credit ratio is below 1.71, while an opposite effect is observed when the ratio exceeds this threshold. We believe that the findings broaden the debate on financial development in developing countries. The results revealed that developing countries should allocate their domestic resources to financial development and poverty reduction, rather than solely addressing environmental concerns. In addition, a more sustainable balance between innovation and CO2 emissions could benefit through financial development and the impact may be the result in terms of achieving sustainable development.

National income and macro-economic correlates of the double burden of malnutrition: an ecological study of adult populations in 188 countries over 42 years

BACKGROUND

The double burden of malnutrition (DBM) represents a growing global challenge with adverse health and economic consequences. We aimed to investigate the associative roles of national income (gross domestic product per capita [GDPPC]) and macro-environmental factors on the DBM trends among national adult populations.

METHODS

In this ecological study we assembled extensive historical data on GDPPC from the World Bank World Development Indicators database and population-level DBM data of adults (aged ≥18 years) from the WHO Global Health Observatory database in 188 countries over 42 years (1975-2016). In our analysis, a country was considered to have the DBM in a year when adult overweight (BMI ≥25·0 kg/m²) and underweight (BMI <18·5 kg/m²) prevalence was each 10% or more in that year. We used a Type 2 Tobit model to estimate the association of GDPPC and selected macro-environmental factors (globalisation index, adult literacy rate, female share in the labour force, share of agriculture in the national gross domestic product [GDP], prevalence of undernourishment, and percentage of principal display area mandated to be covered by health warnings on cigarette packaging) with DBM in 122 countries.

FINDINGS

We find a negative association between GDPPC and the likelihood of a country having the DBM. However, conditional on its presence, DBM level exhibits an inverted-U shaped association with GDPPC. We found an upward shift in DBM levels from 1975 to 2016 across countries at the same level of GDPPC. Among the macro-environmental variables, share of females in the labour force and share of agriculture in the national GDP are negatively associated with DBM presence in a country, whereas the prevalence of undernourishment in the population is positively associated. Further, globalisation index, adult literacy rate, share of females in the labour force, and health warnings on cigarette packaging are negatively associated with DBM levels in countries.

INTERPRETATION

DBM level in national adult populations rises with GDPPC until US$11 113 (in 2021 constant dollar terms) and then starts declining. Given their current GDPPC levels, most low-income and middle-income countries are thus unlikely to have a decline in the DBM levels in the near future, ceteris paribus. Those countries will also be expected to experience a higher DBM level at similar levels of national income than were historically experienced by the current high-income countries. Our findings point to a further intensification of the DBM challenge in the near future for the low-income and middle-income countries as they continue to have income growth.

FUNDING

None.

EKC hypothesis testing and environmental impacts of transportation infrastructure investments in China, Turkey, India, and Japan

A key strategy for social development and sustainable urban expansion is building sustainable and affordable transport systems. In this study, we aim to test the validity of the environmental Kuznets curve (EKC) hypothesis and reveal the impact of infrastructure investment in transportation systems in China, Turkey, India, and Japan over the period 1995-2020 on environmental degradation. According to dynamic ordinary least squares (DOLS) method analysis, per capita GDP and per capita GDP³ have a significant positive impact on per capita CO₂ emission, while per capita GDP² has a significant adverse impact on per capita CO₂ emission. These results confirm the validity of the N-shaped EKC assumption, while inconsistent with the results of the FMOLS technique, showing that per capita GDP is significantly positive, while per capita GDP² and per capita GDP³ have a significant negative impact on per capita carbon emissions. Moreover, as clarified by the fully modified ordinary least squares (FMOLS) and DOLS methods, road infrastructure investment (RO), aviation infrastructure investment, trade openness, and foreign direct investment (FDI) have significant positive effects, while railway infrastructure investment (RA) has a significant negative effect on per capita carbon emission. Country-level estimates of per capita carbon emission-based DOLS strategies in the model show that only China and Japan have N-shaped EKC hypothesis. Road infrastructure investment, aviation infrastructure investment, and trade openness have significant positive effects, while railway infrastructure investment has a significant negative effect on per capita CO₂ emission in selected central and east Asian countries. The latest electrified rail systems are well thought out and less polluting, so the contribution of rail infrastructure investment to the transport mix can support sustainable and safe transport systems at city center and intercity levels and reduce environmental pollution in central and east Asian countries. Moreover, the implementation of the basic environmental settings of trade agreements should be strengthened to condense the growing impact of free trade on environmental pollution.

Environmental regulation intensity, green finance, and environmental sustainability: empirical evidence from China based on spatial metrology

With carbon emissions becoming more and more closely related to human activities and China being the world's largest emitter of carbon dioxide, the cost of environmental quality deterioration is high and environmental sustainability is low. Against this background, it is urgent to implement low-carbon recycling and green development by introducing green funds based on the role of environmental regulation intensity. Therefore, based on the data of 30 provinces from 2004 to 2019, the paper considers the dynamic impact of environmental regulation intensity and green finance development on regional environmental sustainability. The provincial data involve specific spatial locations and focus on the economic interactions among provinces, and the spatial econometric model is very applicable. Based on the spatial econometric model, this paper empirically examines the direct effect, spatial spillover effect, and total effect, considering both spatial and temporal patterns. The research shows that (1) China's provincial environmental sustainability shows a noticeable spatial agglomeration effect, which is significantly and spatially autocorrelated and clustered. (2) Based on the national level, an increase in the intensity of environmental regulation will significantly increase regional environmental sustainability, and the development of green finance will also significantly increase regional environmental sustainability. Additionally, the environmental regulation intensity has a significant positive spatial spillover effect, which may increase environmental sustainability in neighboring provinces. There is also a significant positive spatial spillover effect of the impact of green finance development on environmental sustainability. (3) Based on the provincial level, the impact of environmental regulation and green financial development on environmental sustainability in each region is significantly positive, with the most significant impact in the western region and the smallest coefficient in the eastern region. The paper proposes policy and managerial implications to promote regional environmental sustainability based on the above findings.

How do carbon emissions, economic growth, population growth, trade openness and employment influence food security? Recent evidence from the East Africa

East Africa has a substantially greater rate of food insecurity than other regions of the world. Scenarios of climate change and other macroeconomic variables are important contributors to food insecurity in East Africa. Using data spanning from 1990 to 2020, this study looked into the influence of carbon dioxide (CO₂) emissions, economic growth, population growth, trade openness, and agricultural employment on food security in the East Africa. The fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models were used in this study. The heterogeneous panel cointegration test's findings indicated that the study variables have an equilibrium long-term connections. The estimation findings from the FMOLS and DOLS models showed that an increase in CO₂ emissions increases food security in the East Africa over the long term. According to other findings, long-term food security is positively impacted by economic expansion, population growth, trade openness, and employment in agriculture. However, trade openness has a detrimental long-lasting effect on food security. Future research directions, research limitations, and policy implications are discussed.

Can fiscal decentralization be the route to the race to zero emissions in South Africa? Fresh policy insights from novel dynamic autoregressive distributed lag simulations approach

There has been a plethora of debate on the link between fiscal decentralization and a drop in carbon dioxide (CO2) emissions, even though the evidence supporting this assertion is relatively sparse. Although the precise nature of this relationship is still up for discussion, economic hypothesis postulates that fiscal decentralization has an impact on environmental sustainability. Some researchers claim that fiscal decentralization could potentially result in a race to the top, while some believe it would lead to a race to the bottom. This analysis intends to shed light on the precise processes by which this connection may work in South Africa between 1960 and 2020 in light of current discussions in environmental and development economics. In contrary to previous studies, this paper employs a cutting-edge dynamic autoregressive distributed lag simulations methodology to evaluate the positive and negative variations in fiscal decentralization on CO2 emissions. Our findings demonstrate the prevalence of the race to the top strategy by illustrating how fiscal decentralization has a bearing on CO2 emissions reduction in the short and long terms. In accordance with the findings, greater fiscal decentralization should be implemented through the transfer of more powers to regional authorities, especially in the realm of environmental legislation considerations, in a bid to preserve South Africa's environmental integrity. By establishing a lower tier of government and defining roles at the federal and provincial divisions, South Africa could adopt strategies to improve green environment in an effort to fulfill the energy-saving tasks of fiscal expenditures.

The effect of transport infrastructure (road, rail, and air) investments on economic growth and environmental pollution and testing the validity of EKC in China, India, Japan, and Russia

A key factor in social development and sustainable urban expansion is the establishment of sustainable and affordable transport systems. This study aims to investigate the impact of transport infrastructure investment on environmental degradation and economic growth and to test the validity of the EKC hypothesis in China, India, Russia, and Japan over the period 1995-2020. The results show that GDP has a significant positive effect, and GDP² and GDP³ have significant adverse effects on environmental degradation, respectively. These results confirm the validity of the inverted U-shaped EKC hypothesis in selected emerging Asian economies. Rail infrastructure investment has significant adverse effects, while road infrastructure investment and aviation infrastructure investment have significant positive effects on environmental degradation. Likewise, the impact of investment in transport infrastructure system (roads, rail, and aviation) on economic growth is positive and statistically significant. Country-level estimates confirm the validity of the inverted U-shaped EKC hypothesis in China, India, and Russia, while the N-shaped EKC is only valid in Japan. Investments in rail infrastructure based on modern rail systems that run on electricity are believed to be less polluting in the transport mix, help create sustainable and safe transport systems, and reduce emissions at the urban and intercity levels in emerging Asian countries. In addition, the growing impact of free trade on environmental pollution should be strengthened to harmonize the strict enforcement of environmental conditions dominated by trade agreements.

Income inequality, educational attainment and environmental degradation: evidence from global panel

The Sustainable Development Goal (SDG) 10 focuses on combating the climate change and its effects. The inclusion of this agenda in the Sustainable Development Goals by the United Nations has shown that worsened environmental degradation is currently a major threat facing humankind. The World Commission on Environment and Development 2015 has highlighted that income inequality is one of the major causes for environmental deterioration. Hence, reducing environmental degradation requires a look at the problem of unequal income distribution. Moreover, educational attainment plays a vital role in providing relevant knowledge and skills to people in handling environmental problems. Thus, the objective of the study is to investigate the relationship between income inequality, educational attainment, and CO₂ emissions by employing a panel data analysis for a group of 64 countries from 1990 to 2016.The study uses mainly dynamic common correlated effects (DCCE) estimator to take into account the issue of cross-section dependence which has been ignored by most of the previous studies. By tackling the problem of cross-section dependence, unbiased and reliable results could be produced in estimations. Our results portray that an inverted U-shaped environmental Kuznets curve (EKC) is found to be valid. Additionally, income inequality has a negative impact on environmental degradation. Likewise, educational attainment and CO₂ emissions are revealed to be negatively correlated. The findings of the study could provide a better understanding on the root causes of environmental degradation, and further suggest remedial actions to overcome the problem.

Regional sustainability: Pressures and responses of tourism economy and ecological environment in the Yangtze River basin, China

The relationship between the tourism economy and the ecological environment is under pressure, and balancing this relationship is crucial for promoting regional sustainability. In this study, the Yangtze River basin, the first largest river in Asia and third largest in the world, was selected as the focus area. The spatial and temporal characteristics of tourism economic development and ecological environmental pressure from 2000 to 2019 were analyzed using the tourism economic development index, ecological environmental pressure index and dynamic change index, and the decoupling process of tourism and the economic system was studied dynamically using the decoupling analysis model. The results show that (1) spatially, the tourism economy in the Yangtze River basin exhibits a pattern of high development in the east and low development in the west, and high in the south and low in the north. Ecological environmental pressures varied greatly, with less pressure in the upstream provinces and more pressure in the middle and downstream provinces. (2) Temporally, the tourism economies of Qinghai and Tibet started with a lower but faster growth rate, while Hunan and Hubei have a higher starting point but limited change. The ecological environmental pressure changes do not show a clear spatial distribution pattern. (3) The decoupling relationship between tourism economy and ecological environment in the Yangtze River basin is moving toward a harmonious development. Achieving a harmonious balance between the two systems is crucial for maintaining ecological balance and regional sustainability.

Revisiting the nexus between fiscal decentralization and CO2 emissions in South Africa: fresh policy insights

The argument over fiscal decentralization and carbon dioxide emission (CO₂) reduction has received much attention. However, evidence to back this claim is limited. Economic theory predicts that fiscal decentralization affects environmental quality, but the specifics of this relationship are still up for debate. Some scholars noted that fiscal decentralization might lead to a race to the top, whereas others contended that it would result in a race to the bottom. In light of the current debates in environmental and development economics, this study aims to provide insight into how this relationship may function in South Africa from 1960 to 2020. In contrast to the existing research, the present study uses a novel dynamic autoregressive distributed lag simulation approach to assess the positive and negative changes in fiscal decentralization, scale effect, technique effect, technological innovation, foreign direct investment, energy consumption, industrial growth, and trade openness on CO₂ emissions. The following are the main findings: (i) Fiscal decentralization had a CO₂ emission reduction impact in the short and long run, highlighting the presence of the race to the top approach. (ii) Economic growth (as represented by the scale effect) eroded ecological integrity. However, its square (as expressed by technique effect) aided in strengthening ecological protection, validating the environmental Kuznets curve hypothesis. (iii) CO₂ emissions were driven by energy utilization, trade openness, industrial value-added, and foreign direct investment, whereas technological innovation boosted ecological integrity. Findings suggest that further fiscal decentralization should be undertaken through further devolution of power to local entities, particularly regarding environmental policy issues, to maintain South Africa's ecological sustainability. South Africa should also establish policies to improve environmental sustainability by strengthening a lower layer of government and clarifying responsibilities at the national and local levels to fulfill the energy-saving functions of fiscal expenditures.

Towards sustainable environment: why green energy technology diffusion is sluggish in South Africa?

Energy security, job development, and minimal environmental damage are just a few of the reasons why green energy technologies have gained popularity. Still, developing these technologies in underdeveloped countries is sluggish due to several bottlenecks. To find and prioritize the bottlenecks to development of green energy technologies (GETs), this study has used the case of South Africa. In this study, technical, financial, social, regulatory, geographical, and institutional bottlenecks are six headings under which 22 bottlenecks are further subdivided. For prioritizing these bottlenecks, a Multi-Objective Optimization based on Ratio Analysis (MOORA) strategy combined with an Evaluation based on Distance from Average Solution (EDAS) method was used. The top three bottlenecks impacting the GETs' development involved social, institutional, and regulatory, whereas in sub-headings, corrupt political systems, knowledge of the public, and fixed investments were revealed to be the most significant hurdles. In addition to that, a framework is also developed for assessing how each bottleneck hinders the development of green energy technologies. The results of this study recommend that formulation of policy using the bottom-up approach is important. Notably, politicians at the highest levels should work together to bolster government agencies so that they can monitor and carry out the policies designed to advance GETs. Building the institutional capacity of government offices is crucial for eliminating corruption in political offices and progressing GETs in South Africa.

Technology innovations impact on carbon emission in Chinese cities: exploring the mediating role of economic growth and industrial structure transformation

China seems ambitious to achieve a "carbon emissions peak" before 2030 and "carbon neutrality" before 2060. To deal with this emissions mitigation plan, technology innovations are regarded as a crucial factor. However, considering its rebound effect (CO₂ emissions driving effect) through economic growth, technology innovations might not prove a promising contributor to CO₂ reduction. Therefore, there is a need to investigate further the nexus between technology innovations and CO₂ emissions for conclusive debate. Based on the data of 215 cities in China, this paper uses mediating effects model to investigate the direct and indirect impacts (through economic growth and industrial structure transformation) of technology innovations on CO₂ emissions from a microeconomic perspective. The main results suggest that technology innovations generally increase CO₂ emissions in China both directly and indirectly. The impact of technology innovations and economic growth on CO₂ emissions indicated the EKC characteristics. Furthermore, the contributions of technology innovations to CO₂ emissions are distinguished in different regions. Thus, there is an urgent need for China to promote innovations in "clean technology" and to transform industrial structure to the tertiary industry to achieve the targets of carbon neutrality and emissions peaking.

Effect of Energy Utilization and Economic Growth on the Ecological Environment in the Yellow River Basin

In the 21st century, problems relating to energy, economy, and the environment have become increasingly severe across the world, and critical issues around environmental pollution, ecological imbalance, and an energy crisis have emerged. The Yellow River basin is an important ecological barrier, economic region, and energy base in Northern China. Environmental pollution in the Yellow River basin has become increasingly problematic, especially since the reform and opening up of China, along with the rapid development of the industrial economy and mining for energy resources. In this study, 64 of the 73 prefecture-level cities in the Yellow River basin were selected as the research object, including 18 cities in the downstream region, 26 cities in the midstream region, and 20 cities in the upstream region. The data used in this study were from 2004 to 2019. On the basis of temporal variation and spatial differentiation of the three factors of economy, energy, and environment, the impulse response function and the generalized method of moments (GMM) were adopted to evaluate the effects of energy utilization and economic growth on the ecological environment. Their roles in affecting the ecological environment were analyzed along with the underlying mechanisms. Overall, energy utilization, economic growth, and ecological environment are in good condition, showing a steady upward trend. Regional differences still exist, but the gap is gradually narrowing. There are some differences in the impulse response of the ecological environment to the economic growth and energy utilization in the upstream, midstream, and downstream regions of the Yellow River basin. The effect is leveled out or weakened in the middle and later phases of the impact. Compared with the downstream and upstream regions, economic growth and energy utilization in the midstream regions have less impact on the ecological environment. The two factors of energy utilization potential and economic potential have significant positive impacts on the ecological environment. The current situation of energy utilization has to some extent a positive impact on the ecological environment. Economic scale has a certain negative impact on the ecological environment.

Relating fiscal decentralization and financial inclusion to environmental sustainability: Criticality of natural resources

This study deals with a novel perspective on how natural resource dependence (NRD) and natural resource abundance (NRA) moderate the effects of fiscal decentralization and financial inclusion on energy and carbon intensity. Our work develops on the Stochastic Impacts by Regression on Population, Affluence, and Technology framework, considering the selected seven Organization for Economic Co-operation and Development members as the investigative laboratory from 1995 through 2018. Employing a panel Method of Moments Quantile Regression with fixed effects, we find that fiscal decentralization is beneficial for environmental sustainability, especially across the countries with a higher level of energy and carbon intensity; however, enhanced financial inclusivity is detrimental to the environmental quality, with more visible effects in more energy-efficient economies. As per the direct effects, NRD and NRA mitigate energy and carbon efficiency, with more substantial contributions in less energy- and carbon-intensive countries. Concerning the indirect effects, NRD and NRA positively moderate the influence of fiscal decentralization and financial inclusion on energy and carbon intensities, displaying more substantial effects in more energy-efficient economies. Among other control variables, environmental innovation, renewable electricity, employment to population ratio, and economic progress enhance environmental sustainability. We suggest fiscal decentralization should be built on a more transparent and accountable subnational governmental setup to prevent rent-seeking and fragile environmental protection. We also recommend inclusive finance should enhance the access to and affordability of financial services to economic agents for green consumption and investment ventures to achieve environmental sustainability, among other Sustainable Development Goals.

Environment, education, and economy nexus: evidence from selected EU countries

Among the most fundamental problems today are environmental problems. As people earn higher incomes as a result of getting a good education, their sensitivity to environmental problems increases. As the income level of both the consumers who have received quality education and the producers who make conscious production increases, their demand for environmental quality and their sensitivity to environmental problems will also increase so it is thought that educational expenditures and policies can affect the number and cost of environmental problems. On the other hand, economic activities comprehensively consume natural resources and impact the ecological quality adversely. Therefore, GDP and the educational expenditures variables are used in the model. The aim of this study is to analyze the relationship between environment, education, and economy during the period of 1998-2017 from selected EU countries (Austria, Italy, the Netherlands, Norway, Poland, Portugal, Romania, and Slovakia). As a result of the panel data analysis, according to the Durbin-Hausman cointegration test result, a long-run relationship between the variables was determined at the level of 1%. According to the results of the Dumitrescu-Hurlin causality test, a unidirectional causality relationship from educational expenditures to ecological footprint at the level of 5%, a unidirectional causality relationship from ecological footprint to renewable energy at the level of 1%, and a bidirectional causality relationship at the level of 1% between ecological footprint and GDP were determined. According to the results of Granger causality test based on the VEC model, a unidirectional causality relationship from ecological footprint to educational expenditures at the level of 5%, and bidirectional causality relationship between ecological footprint and renewable energy (from ecological footprint to renewable energy at the level of 10%; from renewable energy to ecological footprint at the level of 1%) were determined. Based on the findings, it can be concluded that economic and educational policy makers should be aware that they have important consequences on environment.

Exploring the nature of EKC hypothesis in Asia's top emitters: role of human capital, renewable and non-renewable energy consumption

The present study uses both carbon dioxide emission and ecological footprints as proxies for environmental degradation to examine the environmental Kuznets curve hypothesis for the top three emitters from Asia, i.e., China, India, and Japan. To this end, the autoregressive distributed lag model for time series and panel estimation is used for a period spanning over 1980-2016. For carbon dioxide emission, China presents an inverted-U shape of the environmental Kuznets curve, while a U-shape relationship is found for India and Japan. Similarly, when the hypothesis is tested with the ecological footprint, Japan offers an inverted U-shape and U-shaped association is detected for China and India. The panel analysis indicates the existence of the environmental Kuznets curve with both proxies of environmental degradation. Besides, human capital and renewable energy promote environmental sustainability, while non-renewable energy use hinders environmental quality. The findings of this study suggest that in order to meet the combined goals of economic growth and environmental protection, the three economies, i.e., China, India, and Japan, should employ renewable energy-enabled technology.

An analysis of the environmental impacts of ethnic diversity, financial development, economic growth, urbanization, and energy consumption: fresh evidence from less-developed countries

Improving the quality of environmental indicators has become a global concern that necessitates the identification of possible channels through which environmental welfare can be enhanced worldwide. Against this backdrop, this current study aims to elucidate the environmental effects of ethnic diversity, controlling for financial development, urbanization, economic growth, and energy consumption in the context of 51 less-developed countries during the period from 1996 to 2016. For measuring the environmental impacts, we use both the ecological footprint and carbon dioxide emission figures of these countries. Overall, the cointegration analysis confirms the existence of long-run relationships among the study variables. Besides, the regression analysis reveals that ethnic diversity deteriorates environmental quality by surging the ecological footprint and carbon dioxide emission levels of the selected nations. Similarly, financial development and energy consumption are found to impose identical adversities on the environment while urbanization is evidenced to ensure environmental welfare. Lastly, for both the environmental indicators considered in this study, the environmental Kuznets curve hypothesis is verified from the findings. Hence, considering these key outcomes, a set of relevant environmental welfare-related policy interventions are recommended in the context of less-developed countries.

Abundance of natural resources and environmental sustainability: the roles of manufacturing value-added, urbanization, and permanent cropland

Sustainable management of natural resources and green urbanization is crucial because it assists the use of resources wisely without unnecessary use and without affecting future generations' needs. This research aims to examine the impact of the abundance of natural resources on China's CO2 emissions while moderating the roles of manufacturing value-added, urbanization, and permanent cropland from 1970 to 2016. This study developed a comprehensive empirical analysis, applied advanced econometric methodologies, and used the generalized linear model (GLM) and robust generalized estimating equation (GEE). Overall, the results conclude that natural resource abundance and permanent cropland are negatively associated with China's CO2 emissions. However, urbanization and manufacturing value-added are negatively related to those CO2 emissions. Moreover, natural resource abundance and permanent cropland improve environmental sustainability while urbanization and manufacturing value-added deteriorate that environmental sustainability. It is suggested that policymakers should promote sustainable management of natural resources and encourage economic usage of natural resources to boost resilient ecosystems; shape sustainable places, lifestyles, and communities; and consume natural resources less. Additionally, policymakers should consider collaborating with landscape architects, urban planners, engineers, transport planners, ecologists, sociologists, physiologists, economists, physicists, and other specialists to develop green urban communities. The limitations of the study and directions for future research are discussed.

Empirical analysis of the impact of China-Japan-South Korea transportation infrastructure investment on environmental degradation and the validity of the environmental Kuznets curve hypothesis

Building sustainable and affordable transport systems is a key issue for social development and sustainable urban expansion. The study used dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) to examine the impact of transport infrastructure investment on environmental degradation in China, Japan, and South Korea over the period 1995-2020 and the validity of the EKC hypothesis. The results show that GDP has a significant positive effect, and GDP2 and GDP3 have significant adverse effects on environmental degradation, respectively. These results confirm the validity of the inverted U shaped EKC hypothesis in selected Asian countries. Road infrastructure investment has a significant positive effect, while railway infrastructure investment has a significant adverse effect on environmental degradation. Air infrastructure investment and trade opening have a progressive and statistically significant impact on environmental pollution. Modern rail systems that run on electricity are considered less polluting, so the share of rail infrastructure investment in the transport mix can help build sustainable and safe transport systems at the city Centre and intercity levels and reduce emissions in Asian countries. Moreover, strict enforcement of the prevailing environmental conditions of trade agreements should be encouraged to reduce the increasing impact of free trade on environmental pollution.

Interplay of eco-friendly factors and islamic religiosity towards recycled package products: A cross-cultural study

Climate change has increasingly been recognised and associated with consumer behaviour: Practitioners are developing their strategies to reduce environmental degradation while increasing the management of sustainable consumption; it needs to better understand consumer attitudes and eco-friendly factors about the issue. Therefore, the current study focused to understand the effects of pro-environmental factors on individuals’ environmental attitudes (purchase behaviour towards products with recycled packaging) through the lens of theory of planned behaviour in a cross-cultural setting. Moreover, present research focuses on the moderating role that religiosity plays in causal pathways between certain determinants (attitude, subjective norms, and perceived behavioural control) and intentions in this context. A multi-wave time-lagged research design was employed in this study, and university students from two developing countries were surveyed (N = 324, 266). The findings revealed pronounced similarities between the two examined countries. Overwhelmingly, pro-environmental factors examined (environmental values, environmental knowledge, and environmental concern) were found to be positively related to attitude formation. Further results showed that attitude and subjective norms are significant predictors of the intention to purchase products with recycled packaging. Moreover, with the exception of perceived behavioural control, religiosity moderates the relationships between all the determinants of TPB and intention to purchase recycled packaged products. Present study offers insightful implications to management of these emerging and/or similar cultural markets regarding customer value for green products. Using TPB, present study broadened and deepen extant stream of literature on consumption of recycled packaged products in two highly emerging markets; Pakistan and Malaysia.

Have international remittance inflows degraded environmental quality? A carbon emission mitigation analysis for Ghana

Despite the considerable contributions of remittances to households and economic advancements, their environmental implications have received little attention in empirical research. This study was, therefore, conducted to help fill that gap, using Ghana as an evidence. In achieving the above goal, robust econometric methods that control for endogeneity, heteroscedasticity and serial correlation among others, were engaged for the analysis. From the results, the studied variables were first-differenced stationary and cointegrated in the long run. The elasticities of the predictors were explored via the FMOLS, DOLS and CCR estimators, and from the results, remittance inflows worsened the ecological quality in Ghana through high CO2 emissions. Also, population growth and energy utilization were not friendly to the country's environment; however, technological innovations improved environmental quality in the nation via low CO2 effusions. The VECM was employed to examine the path of causalities amidst the series, and from the results, there were bidirectional causalities between remittance inflows and CO2 emissions and between population growth and CO2 emanations. Also, a causation from energy utilization to CO2 effluents was discovered; however, there was no causality between technological innovations and CO2 exudates in the country. Based on the findings, it was recommended among others that, authorities should enact regulations to control the activities of polluting industries that are being financed by remittances. Also, households and individuals should minimize their use of remittances to finance carbon-intensive items, like automobiles and air-conditioners among others, that add to environmental pollution in the country.

China's 2060 carbon-neutrality agenda: the nexus between energy consumption and environmental quality

This study examined the nexus between energy consumption and environmental quality in light of China's 2060 carbon-neutrality agenda utilizing annual frequency data from 1971 to 2018. In order to obtain valid and reliable outcomes, more robust econometric techniques were employed for the analysis. From the results, all the variables were first differenced stationary and cointegrated in the long-run. The elastic effects of the predictors on the explained variable were explored through the ARDL, FMOLS, and the DOLS techniques, and from the discoveries, energy utilization worsened environmental quality in the country via more CO2 emissions. Also, industrialization and urbanization deteriorated the country's environmental quality; however, technological innovations improved ecological quality in the nation. On the causal connections between the variables, a unidirectional causality from energy consumption to CO2 effluents was discovered. Also, feedback causalities between industrialization and CO2 secretions, and between urbanization and CO2 exudates were disclosed. However, there was no causality between technological innovations and CO2 emanations. Based on the findings, the study recommended among others that, since energy consumption pollutes the environment, the country should transition to the utilization of renewable energies. Also, the government should allocate more resources to the renewable energy sector. This will help increase the portion of clean energy in the country's total energy mix. Furthermore, research and development that are linked to the utilization of green energies should be supported by the government. Data constraints were the main limitation of this exploration. Therefore, in the future, if more data become available, similar explorations could be conducted to check the robustness of our study's outcomes.

Modeling the dynamic nexus among CO2 emissions, fossil energy usage, and human development in East Africa: new insight from the novel DARDL simulation embeddedness

This study investigates the relationship among CO₂ emissions, human development index, and fossil energy usage. Essentially, the study was informed by the Sustainable Development Goal 7, which stipulates universal access to renewable and contemporary energy technologies. We employed the novel dynamic autoregressive-distributed lag (DARDL) simulations with a dataset spanning between 1980 and 2020 from East Africa Community (EAC). The study revealed that human development, access to electricity, and trade have a strong correlation with carbon emissions in the long term, whereas fossil energy usage and economic growth have a negative connection with carbon emission. On the other hand, in the short run, human development and fossil energy usage have a positive correlation with carbon emission, while economic growth and foreign direct investment have a negative correlation with carbon emission. Thus, policies that are tailored to enhance the political environment in East Africa are crucial to ensuring realistic access to clean and modern electricity. In relation to the environmental policy of the East African Community; this study advocates for measures to increase the availability of less harmful and renewable energy sources, as well as investments in energy-efficient technologies.

Financial inclusion and environmental sustainability in Ghana: application of the dynamic ARDL estimator

Numerous explorations have been conducted on the determinants of Ghana's environmental quality. However, to the best of my knowledge, there has been no research on the connection between financial inclusion and environmental sustainability in the country. This study was therefore conducted to help fill that gap. In attaining the aforestated goal, econometric techniques that yield valid and reliable outcomes were engaged. From the results, all the series were first differenced stationary and cointegrated in the long run. The DARDL estimator with the support of the conventional ARDL estimator was adopted to explore the marginal effects of the predictors on the explained variable, and from the results, financial inclusion worsened environmental sustainability in the nation via high carbon emissions. Also, foreign direct investments degraded the country's ecological quality validating the pollution haven hypothesis. Finally, trade openness, population growth, and energy consumption were detrimental to environmental sustainability in the nation. On the causal directions amidst the series, unidirectional causalities from financial inclusion and trade openness to carbon effusions were disclosed. Also, feedback causalities between foreign direct investments and carbon emissions; between population growth and carbon effluents; and between energy consumption and carbon exudates were unfolded. The study recommended among others that, financial establishments should not fund the production of carbon-intensive goods, but those that are friendly to the environment. The government can also help to improve environmental sustainability by establishing regulations to mandate financial entities to engage in eco-friendly activities.

Solar energy technology adoption and diffusion by micro, small, and medium enterprises: sustainable energy for climate change mitigation

This research intends to identify influential factors in adopting and diffusing solar energy technology (SET) by micro-, small-, and medium-sized enterprises (MSMEs) in two tehsils of Multan district in Pakistan's Punjab province. To this end, the influential factors are identified through studying literature surveys and conducting questionnaires. Following that, partial least squares-based path modeling is employed. The results showed that (1) enterprises' size, perceived SET's ease of use, and perceived SET's reliability are the top three driving factors. (2) The perceived SET's price, perceived level of competition's pressure, and MSME's energy cost intensity are the barriers to the adoption and diffusion of SET, while the lack of technical knowledge about SET is a neutral factor. (3) Perceived SET's price, MSMEs' energy cost intensity, and enterprises' size are among the most important factors based on the effect size and path coefficients, while the lack of technical knowledge about SET, preferences of MSMEs' customers, and eco-labels and green stickers have lower importance. Since the adoption of SET is a rational decision that is concretely dependent on economic incentives, it is recommended to lower the price of SET to scale up the adoption and diffusion of SET by Pakistani MSMEs.

How does economic complexity affect ecological footprint in G-7 economies: the role of renewable and non-renewable energy consumptions and testing EKC hypothesis

The discussion concerning whether and how economic complexity (ECI) affects ecological footprint (EFP) has gained researchers' consideration, while there are slight empirical evidence to support the subject matter. In the support of theoretical argument, this study provides empirical evidence by investigating the impact of ECI on EFP along with the role of disaggregated energy consumptions by using a panel dataset of G-7 economies between 1996 and 2019. To this end, we applied panel techniques of Fully-Modify OLS and Dynamic-OLS models for cointegration analysis. The results obtained from Fully-Modify OLS and Dynamic-OLS models reveal that ECI deteriorates environmental quality by increasing EFP, while renewable energy reduces ecological pollution by decreasing EFP. In addition, the increasing demand for non-renewable energy and economic growth both degrades environmental quality in G-7 countries. More interestingly, the non-linear (ECI²) relationship between ECI and EFP confirms a U-shaped association (EKC hypothesis), which suggests that after achieving a certain threshold level, economic complexity mitigates environmental degradation in G-7 economies. The empirical results also suggest that other control variables such as population growth, inflation rate, foreign direct investment, and total trade intensity lead to environmental degradation by increasing ecological footprint. Based on empirical results, the following important policy implications are drawn; first, G-7 economies should speed up the level of economic complexity along with renewable energy consumption to protect environmental quality and maintain sustainable growth and development. Secondly, the governments of G-7 countries should introduce greener technologies and promote production that are environmental friendly for drastic reduction in environmental unsustainability.

Do affluent nations value a clean environment and preserve it? Evaluating the N-shaped environmental Kuznets curve

Since industrialization, the world has been under great strain from rising temperatures. Economies work hard to boost economic growth by sacrificing natural surroundings that are degrading owing to increased carbon emissions from unsustainable production and consumption. The race-to-the-bottom strategy is seen in different parts of the globalized world, corroborating the pollution haven concept and energy-related emissions. The study assumed that once affluent nations reached a particular economic level, they would concentrate on environmental reforms to safeguard environmental and natural resources. The study built a model of the emissions-growth nexus by controlling inward FDI, information and communication technology, research and development expenditures, and renewable energy using aggregated data from high-income nations from 1976 to 2019. The study verified the N-shaped environmental Kuznets curve using a three-degree polynomial factor of per capita income. On the other hand, inward FDI was assessed as having the potential to support the pollution haven hypothesis (PHH) by increasing carbon emissions. The data show that the square and cubic forms of per capita income have a significant negative and positive effect on carbon emissions in the long run, corroborating the short-peak V-shaped EKC hypothesis. However, the N-shaped EKC hypothesis between income and emissions is verified in the short run. The PHH confirmed that more inward FDI is associated with higher long-term carbon emissions. For decreasing global carbon emissions and unclean production, stringent and incentive-based regulations are preferable.

Spatial correlation among cultivated land intensive use and carbon emission efficiency: A case study in the Yellow River Basin, China

Considering the current global goal of carbon neutrality, the relationship between cultivated land intensive use (CLIU) and carbon emission efficiency (CEE) should be explored to address the global climate crisis and move toward a low-carbon future. However, previous work in this has been conducted at provincial/regional scales and few have identified the spatial correlation between CLIU and CEE at the scale of large river basins. Therefore, this study explored the spatiotemporal characteristics of CLIU, cultivated land carbon emissions (CLCE), and CEE, as well as the spatial correlation between CLIU and CEE in the Yellow River Basin (YRB), China. A comprehensive evaluation model, the Intergovernmental Panel on Climate Change (IPCC) coefficient methodology, existing data envelopment analysis model, and bivariate spatial autocorrelation models were used to analyze statistical data from 2005 to 2017. We found that the overall CLIU and CLCE values in the YRB exhibited a continuous increase; the average carbon emission total efficiency and carbon emission scale efficiency first decreased and then increased, and the average carbon emission pure technical efficiency gradually decreased. Areas of high CLCE were concentrated in eastern areas of the YRB, whereas those of high CLIU, carbon emission total efficiency, carbon emission scale efficiency, and carbon emission pure technical efficiency predominantly appeared in the eastern areas, followed by central and western areas of the YRB. Spatial analysis revealed a significant spatial dependence of CLIU on CEE. From a global perspective, the spatial correlations between CLIU and CEE changed from positive to negative with time. Moreover, the aggregation degree between CLIU and CEE gradually decreases with time, while the dispersion degree increases with time, and the spatial correlation gradually weakens. The local spatial autocorrelation further demonstrates that the number of high-low and low-high clusters between CLIU and CEE gradually increases over time, while the number of high-high and low-low clusters gradually decreased over time. Collectively, these findings can help policymakers formulate feasible low-carbon and efficient CLIU policies to promote win-win cooperation among regions.

Green investments, financial development, and environmental quality in Ghana: evidence from the novel dynamic ARDL simulations approach

Numerous studies have examined the influence of macroeconomic factors on environmental quality in Ghana. However, to the best of our knowledge, there has been no study on the connection between green investments, financial development, and environmental quality in the context of this Sub-Saharan African country. This study was therefore conducted to help fill this gap using annual frequency time series data ranging from 1970 to 2018. In attaining the objectives of this study, robust econometric techniques were employed. From the results, all the variables were first differenced stationary and cointegrated in the long run. The dynamic ARDL simulations technique with the support of the ARDL estimator was employed to examine the elastic effects of the predictors on the response variable, and from the discoveries, green investments improved environmental quality in Ghana both in the long and the short run via carbon dioxide mitigations. However, in both the long and the short run, financial development and energy utilization had a detrimental influence on environmental quality due to their positive influence on carbon dioxide emissions. Moreover, the N-shaped association between national income and environmental pollution was validated for Ghana. On the causal directions amidst the variables, there was no causality between green investments and environmental degradation was evidenced; however, a bidirectional causality between financial development and environmental pollution was also discovered. Also, unidirectional causalities running from national income and energy consumption to environmental degradation were discovered. Based on the findings, the study recommend that investments in green sources should be intensified to help improve environmental quality in Ghana. Furthermore, improving developments in the financial sector is a vital means through which the country could attain its sustainable development goals.

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

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

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

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

The anthropogenic consequences of energy consumption in the presence of uncertainties and complexities: evidence from World Bank income clusters

In environmental management, many studies have examined the energy consumption-emission nexus in detail. However, for the first time in the literature, this study considers how the Economic Complexity Index (ECI) and economic policy uncertainty (EPU) moderate the contribution of energy consumption to emissions for the four World Bank Income clusters. The system generalised methods of moments are applied to data for 109 countries from 1996 to 2016. Based on the main model (grouped clusters) estimations, the result revealed the existence of the environmental Kuznets curve (EKC) hypothesis. Also, an increase in air transport and consumption of energy releases more carbon emissions to the climate. Interestingly, ECI decreases carbon emission significantly while EPU does not have a significant impact. Moreover, the study revealed that ECI moderated the impact of other variables on emission, but EPU is not a significant moderator. Furthermore, a comparative analysis among the four incomes suggests that the EKC hypothesis holds only in the high-income clusters; ECI is a significant predictor of carbon emission in the four clusters, but it only decreases the emission in high-income clusters. This corroborates the debate on climate change and the productive capacity of high-income countries. Given the foregoing, several policy measures were recommended.

Combined role of industrialization and urbanization in determining carbon neutrality: empirical story of Pakistan

A rapid process of industrialization, on the one hand, transformed the economies from agrarian to industrial societies to improve the living standards and welfare of people. On the other hand, the urbanized and industrialized economies have posed challenging threats to environmental sustainability. The query at hand is whether the growing environmental emissions are driven by industrialization and urbanization or not. This research aims to empirically examine the combined role of industrialization and urbanization in achieving carbon neutrality in Pakistan by considering foreign direct investment and economic growth as control variables in the model. The core empirical results are the following: firstly, industrialization and economic growth exhibit negative but statistically insignificant impacts on CO₂ emissions, imparting a neutral role in determining the environmental degradation in Pakistan. Secondly, urbanization and foreign direct investment disclose positive and statistically significant (at 1% level of significance) impacts on CO₂ emissions, manifesting an environmental degradation driving impact in the country. Thirdly, given the slope coefficients of urbanization and foreign direct investment (0.058 and 0.035), urbanization proved to be a stronger driver than foreign direct investment. Finally, foreign direct investment is revealed to make the Pakistani economy a "Pollution Haven" for the foreign enterprises in the country. Based on empirical results, none of the variables predicted the support for carbon neutrality in Pakistan.

The energy consumption-environmental quality nexus in BRICS countries: the role of outward foreign direct investment

This paper examines the role of outward foreign direct investment on energy consumption and environmental quality in BRICS from 1990 to 2019. Most of the previous research considered foreign direct investment mainly focused on the environmental impact on the host country effect and ignored the home country effect. Therefore, the current study examines the home country effect of environmental pollution. We use various methodologies like cross-sectional dependence and the Pesaran-Yamagata slope homogeneity for the diagnostic test. After confirming the diagnosis test, we employ second-generation panel unit root tests, which confirms that all elements are stationary at first difference. The pooled mean group (PMG), Westerlund cointegration, two-step generalised method of moments (GMM), panel fully modified ordinary least square (FMOLS), and dynamic ordinary least square (DOLS) model have been used to determine the short-term and long-term association among the variables. The cointegration and PMG results confirm that the short-run and long-run association exists among the considered variables. The results reveal that developing countries produced environmental pollution at the early stage of development and checked in the long run. The study used the STIRPAT model to build an extended carbon dioxide emissions model by incorporating outward FDI, GDP per capita, and technology to achieve our objectives. The empirical results hold up the environmental Kuznets curve hypothesis, implying that outward FDI and energy consumption help expand greener technology to host countries' environmental improvement in the long run and confirm that an inverted U-shaped linkage exists. Hence, the study suggests that developing countries should pay more attention to sustainable development and technological development that encourages more eco-friendly and environment-friendly technology.

A study of energy investment and environmental sustainability nexus in China: a bootstrap replications analysis

Environmental sustainability is increasing emphasis on global environmental concerns at the forefront of public policy debate. This paper investigates the relationship between energy investments and environmental sustainability in China from 1980 to 2018 while considering the moderating effect of international trade and economic growth under the environment Kuznets curve (EKC) framework. We apply advanced econometric modeling for empirical analysis. Our findings show that energy investment and economic growth are positive, while international trade is negatively associated with ecological footprints. Moreover, economic growth and energy investment deteriorate, while international trade improves environmental sustainability. This empirical evidence suggests the improvements in cleaner energy infrastructure with the participation of the private sector to promote clean energy investment. We argue that policymakers should ensure environmental provisions in the regional and bilateral trade agreements to harmonize the environmental regulations, and develop crucial trade and ecological policy indicators to monitor policy consistency.

Dynamics among economic growth, urbanization, and environmental sustainability in IEA countries: the role of industry value-added

As an indicator of environmental degradation, the ecological footprint has seen a terrific focus in the literature. We explore the dynamics among economic growth, urbanization, and environmental sustainability in the presence of population growth and industry value-added in the thirty International Energy Agency (IEA) member countries. We apply advanced econometric modeling for empirical analysis over the period 1992 to 2016. This study's short-run results suggest that capital formation and biocapacity increase ecological footprint in the short run. The findings of long-run estimates demonstrate that industrial value-added and capital formation improve environmental sustainability. However, economic growth, urbanization, biocapacity, and population growth deteriorate environmental sustainability in the long run. Policymakers in the IEA countries are encouraged to establish policies that promote a sustained lifestyle, ecological awareness, clean technological innovations, efficient production and consumption measures, and enlarge cities to limit the adverse effects of urbanization on environmental sustainability. Finally, study limitations and future research directions are discussed.

Dual performance of environmental regulation on economic and environmental development: evidence from China

Based on the comparative perspective of environmental regulation performance, this paper uses the threshold effect model to analyze the nonlinear characteristics of the impact of environmental regulation on economic development and environmental pollution and explore the dual performance of environmental regulation on economic and environmental development. The results are fourfold: Firstly, the intensity of fiscal expenditure on energy conservation and environmental protection has a restraining effect on environmental pollution, but it has a crowding-out effect on economic growth. Therefore, it is impossible to achieve a win-win situation between ecological protection and economic development by increasing the intensity of financial expenditure on energy conservation and environmental protection. Secondly, giving more financial rights to local governments in eastern China may help to reverse the non-win-win situation of the economy and the environment. Thirdly, increasing the environmental protection awareness of local governments will help to achieve a win-win situation. It is more effective to achieve a win-win situation of ecology and economy using constraint regulation than incentive regulation. Finally, the economic development level of the last period has different threshold effects on the current environmental pollution in the eastern and western China. Thus, the impact of environmental regulation lags. We conclude that we should give full play to the role of the environmental regulation, stimulate the endogenous power of environmental system, accurately implement the key differentiation strategy, and promote the win-win situation of ecological protection and economic development.

The Impact of Renewable Energy, Urbanization, and Environmental Sustainability Ratings on the Environmental Kuznets Curve and the Pollution Haven Hypothesis

The impacts of renewable energy adoption and environmental sustainability ratings on the validity of the environmental Kuznets curve and the pollution haven hypothesis are examined using annual balanced panel data from 64 middle and low-income countries and spanning the 2005–2014 period. We show that the GDP per capita/CO2 emissions per capita relationship is an inverse S curve for the full sample of low and middle-income countries and for each subsample. The renewable energy/CO2 emissions per capita relationship is an inverse N curve for the full and the middle-income samples, but a V curve for the low-income sample. The foreign direct investment net inflows/CO2 emissions per capita relationship is an N curve for the full and the middle-income samples, and a positive relationship in the low-income subsample. High levels of government environmental sustainability ratings in low-income countries with relatively higher incomes can attract foreign direct investment net inflows while reducing pollution. In contrast, middle-income countries with high environmental sustainability ratings can attract foreign direct investment net inflows only if they allow small increases in pollution.

Does democracy improve environmental quality of GCC region? Analysis robust to cross-section dependence and slope heterogeneity

Since the developed world's economic prosperity has been heavily reliant on excessive fossil-based energy consumption, it has posed severe environmental quality challenges. This research attempts to revisit the relationship between income and anthropogenic emissions in the context of the environmental Kuznets curve (EKC) theory by considering electric power consumption, urbanization, and democratic accountability index in the Gulf Cooperation Council (GCC) region. It employs annual frequency panel data from 1990 through 2019 and three alternative advanced econometric estimation techniques. The main findings are as follows: Firstly, the EKC results for the whole sample strongly support the proposition of an inverse U-shaped connection between anthropogenic emissions and affluence in the long run. Secondly, the country-specific results confirm EKC only in Saudi Arabia and Bahrain, while the remaining countries demonstrate a U-shaped connection. Thirdly, the democratic accountability promoted anthropogenic emissions implying that it failed to contribute to environmental protection. It means that democratic setup in the GCC region performs poorly in accomplishing climate change mitigation and Sustainable Development Goals (SDGs). Fourthly, electric power consumption and urbanization impart positive and negative impacts on anthropogenic emission, respectively. These findings are found robust across the fully modified ordinary least square (FMOLS), bias-corrected LSDV (least squares dummy variable) (LSDV), and pooled mean group (PMG) estimators. Finally, Dumitrescu-Hurlin panel causality shows that (i) income and urbanization establish a two-way causality with the anthropogenic emissions. (ii) However, a unidirectional causal connection is revealed from electric power consumption and democratic accountability index to anthropogenic emissions. The findings suggest that the GCC region should prioritize environmental protection and SDGs across the political aims' recipe since it would direct the region on the path of climate change mitigation.

Role of trade openness, export diversification, and renewable electricity output in realizing carbon neutrality dream of China

Since climate change mitigation is the central debate of modern literature, the realization of carbon neutrality in response to diversified macroeconomic variables is the most crucial concern of international economies. However, the critical role of trade and renewable electricity output in export diversification-environmental nexus is missing. Therefore, this study investigates the combined influence of trade openness, exports diversification, and renewable electricity output on carbon dioxide emissions (CO₂) in China from 1989 through 2019. Applying novel time series econometric techniques robust to structural breaks, following new outcomes are obtained. Firstly, long-run equilibrium cointegration existed among the under-analysis variables. Secondly, export diversification and renewable electricity output are predicted to decelerate CO₂, supporting carbon neutrality in the long run. Thirdly, trade openness and gross domestic product accelerated the CO₂, delaying carbon neutrality accomplishment. Most importantly, significant structural break dummy interacting with trade openness implicated that during the post-2001 era, China's trade openness extensively deteriorated the environmental quality in the face of trade liberalization obtained after joining the World Trade Organization (WTO). Based on empirical results, export diversification and renewable electricity production policies should be mutually non-exclusive and closely coordinated. Further, to counter the carbon emission acceleration impact of trade openness, increasing the share of green tradable products is suggested. Finally, bilateral trade restructuring is recommended to realize the long-term dream of economic sustainability and carbon neutrality.

Trade, energy consumption, economic growth, and environmental quality: an empirical evidence from D-8 and G-7 countries

Since both developed and developing economies are experiencing economic and environmental problems, exploring the linkages between economic and environmental parameters in a comparative setting is desirable. This study investigates the effects of energy consumption along with economic growth and trade on environmental quality for D-8 and G-7 countries over the period 1980-2019. Further, unlike prior studies which focus on only aggregate energy consumption, this study employs disaggregate forms of energy consumption using extended environmental Kuznets curve (EKC) framework and employing second-generation panel time series analysis. The models are estimated using fully modified least squares (FMOLS), dynamic ordinary least squares (DOLS), and heterogeneous panel estimators. Finally, to verify the causality among the study variables, the Dumitrescu and Hurlin (2012) causality test is applied. The findings reveal that economic growth, aggregate and disaggregate energy consumptions (oil, coal, gas), and trade exacerbate environmental quality in D-8 countries, while income and trade improve it in G-7 economies. However, oil, coal, and gas usage are detrimental to environmental quality in G-7 economies. Further, this study extends the literature on the EKC by validating it for D-8 economies while rejecting it for G-7 countries. Both groups of countries need to adopt green technology and sustainable development patterns. The D-8 economies need to reform their trade policy to support environmental-friendly trade while G-7 economies need to control emissions associated with further growth by limiting the use of non-renewable energy sources.

Environmental Kuznets curve in Southeastern Europe: the role of urbanization and energy consumption

This paper investigates the dynamic short-term and long-term relationships among real GDP per capita, energy consumption, urbanization, and carbon dioxide emissions within the framework of the environmental Kuznets curve (EKC) hypothesis for Southeastern Europe (SEE) from 1997 to 2014. The evidence highlights an inverted U-shaped nexus between real GDP per capita and carbon dioxide emissions (i.e., the EKC hypothesis is verified in the long-run in the sample as a whole). The short-run estimates provide evidence of inverted U-shaped EKC only for Greece and Moldova. Two-way causal relationship between urbanization and pollutant emission was also established in the short-run, as well as one-way causality flowing from real GDP per capita to pollutant emission. The coefficients with the real GDP per capita and energy consumption are negative and statistically significant in the long-term. These findings indicate the existence of an error correction mechanism that drives the observed variables back to their equilibrium. Moreover, the findings show that the consistent increase in energy consumption has not reduced environmental pressures.

Factors influencing renewable energy generation development: a way to environmental sustainability

Since renewable energy has the paramount importance of achieving environmental sustainability, developing countries like Pakistan have been facing numerous renewable energy generation (REG) development challenges. Thus, the REG development in any country can be attributed to its crucial drivers as well as crucial barriers. This work aims to identify crucial influence factors of REG development by conducting multi-facet content analysis as well as partial least square-based structural equation modeling analysis on data collected through a questionnaire survey. It has been conducted based on academicians from four Pakistani universities as well as professionals from Islamabad Electric Supply Company. The key outcomes are as follows: First, through multi-facet content analysis, ten crucial influence factors are identified. Among those factors, lack of good governance, renewable energy adaptation, and governmental energy policies are revealed to be the crucial barriers to REG development, whereas endowed resources, power production approach, renewable energy demand, investment environment for renewable energy projects, economic returns of renewable energy projects, environmental effects, and public acceptance are found to be the crucial drivers of REG development. Based on relative significance, the lack of good governance is unveiled to be the most significant factor, while environmental effects is found to be the least significant one. Moreover, among the drivers of REG development, public acceptance is found to be the prime contributor. At the same time, among crucial barriers, lack of good governance has shown the largest contribution to REG development.

Examining the asymmetric socioeconomic determinants of CO2 emissions in China: challenges and policy implications

A better socioeconomic development is necessary for environmental sustainability. The current study scrutinizes the asymmetric socioeconomic factors of CO2 emissions in China by using the nonlinear ARDL approach. This study is based on annual data covering the period from 1980 to 2019. Results show that positive change in economic growth is the leading driver of CO2 growth, while a negative change in economic growth is offsetting CO2 emissions in China. Concurrently, positive and negative changes in energy consumption have adverse impacts on CO2 emissions in the long term, while negative shock has a small influence on CO2 emissions compared to the positive shock of energy. Positive years of schooling, shocks are found to be beneficial for fighting against CO2 emissions in China in the long run. The CO2 emissions are asymmetrically affected by the social and economic structure of China. Based on these empirical findings, thereby China should improve its socioeconomic development and standards of CO2 emissions.

A STIRPAT-based investigation on the role of economic growth, urbanization, and energy consumption in shaping a sustainable environment in the Mediterranean region

The Mediterranean region is highly vulnerable to undesired consequences of global warming triggered by industrialization, urbanization, and mostly fossil energy consumption. However, the region has also great renewable energy generation potential such as solar and wind, which enables countries in the region to considerably mitigate CO₂ emissions, the main driver of global warming. Developing countries around the world have less impact on carbon emissions than the developed Global North. Therefore, developing countries in the Mediterranean region are affected by the carbon burden of the first industrialized and developed European countries. This study investigates the role of economic growth, fossil and renewable energy consumption, and urbanization of developing Mediterranean countries in CO₂ emissions by using annual data covering 1995-2016 period. To this end, it follows a STIRPAT model including gross domestic product per capita, urbanization, and renewable and non-renewable energy consumption. Considering cross correlation among countries, panel data methodologies are employed to estimate how carbon emissions respond to increase in gross domestic product, urbanization, and disaggregated energy consumption. Empirical results reveal that gross domestic product and fossil energy increase CO₂ emissions; urbanization and renewable energy decrease CO₂ emissions.

Do economic openness and electricity consumption matter for environmental deterioration: silver bullet or a stake?

Developing countries are enthusiastically on the road to economic progress and economic openness, which is proved to be a silver bullet for them. However, it has put their environmental quality at stake. This study examines whether economic openness and electricity consumption matter for environmental deterioration by controlling for the influence of economic progress. For this, we have used time series frequency data of Pakistan from 1971 to 2016 and employed the state-of-the-art dynamic autoregressive distributed lag (ARDL) simulation model. The model has the advantage over traditional ARDL in determining the positive and negative environmental deterioration variations induced by economic openness, electricity consumption, and economic progress. The main findings are as follows: Firstly, electricity consumption in both long and short run positively and significantly influenced CO₂ emissions, while long-run influence exceeded that of short run. Secondly, economic progress validated an environmental Kuznets curve hypothesis and thus limited the environmental degradation. Thirdly, economic openness showed an insignificant influence on CO₂ emissions both in the long and short run. Based on research findings, it is suggested that economic progress and economic openness are not the direct culprits to deteriorate a developing country's environmental condition like Pakistan; rather, electricity consumption remained the key role player. Therefore, the transition from fossil-based electricity consumption to renewable energy consumption would provide a sustainable pathway towards achieving sustainable economic openness in the future.

Do inward foreign direct investment and economic development improve local environmental quality: aggregation bias puzzle

Since preceding several decades, the carbon emissions based standard Environmental Kuznets Curve (EKC) has been tested and supported by a plethora of studies in countries around the globe. The current study estimated the inward foreign direct investment (IFDI)-augmented EKCs for China's 27 provincial divisions employing the advanced econometric methodologies involving cross-sectional dependence, slope heterogeneity, and second generation-based estimation procedures. The study has further contributed through a modification to "Stochastic Influence by Regression on Population, Affluence, and Technology" (STIRPAT) in terms of including IFDI to the standard model. Accordingly, this work estimated the standard EKC (involving economic development-carbon emissions linkage) as well as IFDI-carbon emissions linkage within the STIRPAT framework, by employing a panel vector error-correction-based estimation procedure. The findings revealed that (1) the conventional EKC estimates for national and regional samples (i.e., aggregate samples) presented linkages differing from the EKC links for the provincial divisions. It suggested that the EKC at the aggregated levels is likely the consequence of aggregation bias problem. (2) The links between IFDI (in power and non-power sector) and carbon emissions provided inverse U shape for the aggregate samples, while the provincial divisions presented heterogeneous results. This is perhaps because of the aggregation bias. Hence, the aggregation bias puzzle is unriddled. (3) Also, heterogeneous patterns are found in terms of turning points, degree of impact, and nature of the association of income and IFDI with carbon emissions. The meaningful policies can be extracted for the large countries encompassing varied economic development levels, such as China, if the EKC is evaluated at the disaggregate scales.