N-shaped Environmental Kuznets Curve Research Articles

The impact of digitalization, technological and financial innovation on environmental quality in OECD countries: Investigation of N-shaped EKC hypothesis

This research article aims to determine the interrelationships between digitalization, technological and financial innovation, and environmental quality in selected Organization for Economic Cooperation and Development (OECD) countries. This study also tests the validity of the N-shaped Environmental Kuznets Curve (EKC) hypothesis. To this end, we utilize a rigorous three-stage panel data econometrics approach. The empirical outcomes entail that financial innovation decreases carbon emissions, whereas technological innovation and digitalization increase carbon emissions in the OECD countries. The results further underscore that across all models, the first level of gross domestic product (GDP) harms environmental quality. On the flip side, the second level of GDP tends to improve environmental quality. However, the third level of GDP deteriorates environmental quality. In conclusion, the empirical findings corroborate the N-shaped EKC hypothesis in OECD countries, urging policymakers to adopt more sustainable development practices.

The N-shaped environmental Kuznets curve for biodiversity loss: A count data analysis

While South and Southeast Asian countries have experienced resilient economic growth over the years, the region has also been a global hotspot for biodiversity loss. Thus, this study examines the income-biodiversity loss nexus within the framework of the N-shaped environmental Kuznets curve (EKC) for South and Southeast Asian countries by employing annual sample data over the period of 2013–2019. The N-shaped nexus between income and biodiversity loss is analyzed using the negative binomial regressions to deal with count outcomes and to overcome the over-dispersion issues. The estimation results consistently depict that the N-shaped EKC hypothesis holds true for South and Southeast Asia in both the aggregated model and disaggregated models (eight taxonomic groups). It is discovered that the threatened species rises when income reaches between $11,607 and $16,329 and declines when income goes to $38,880 and $52,303 over the sample period. Agricultural land and threatened species are positively related. Further, the control of corruption can lessen the decline in biodiversity. Our study reveals some important policies to achieve sustainable development without affecting the health of ecosystems in South and Southeast Asia.

Relevance evaluation and spatial differentiation analysis between green development and environmental footprint in China's three typical mega-urban agglomerations

This study constructs a comprehensive framework for exploring the relevance between green development level and environmental footprint in three typical mega-urban agglomerations of Yangtze River Economic Belt (YREB) of China. This framework consists of the three-dimensional ecological footprint (EF3D), carbon footprint (CF), cloud model, and Environmental Kuznets Curve (EKC). Results reveal that there exist an increased EF3D and a decreased ecological carrying capacity in the YREB, with annual change rates of 4.45% and −0.46%, respectively. According to ecological footprint depth, 24.61, 17.59, and 30.89 times of current local land area are required for supporting regional development in the YREB upstream, midstream, and downstream urban agglomerations, respectively. There is an increased tendency in CF, especially in the midstream urban agglomeration with an increased rate of 5.25%. Carbon pressure is mostly contributed by crude oil (34.47%) and raw coal (31.55%). Moreover, green development level in the YREB shows an increased tendency with an annual rate of 0.5%, and that in the downstream urban agglomeration is generally greater than other areas. The relevance between green development level and environmental footprint is mainly inverted U-shaped or inverted N-shaped EKC types. CF in the YREB and its upstream urban agglomeration begins to decline when green development levels are 3.44 in 2020 and 3.26 in 2020, respectively. EF3D in the midstream urban agglomeration starts to fall when green development level reaches 3.36 in 2019. EF3D from cultivated land and fossil fuel land has a positive impact on the improvement of relevance. Overall, the developed framework can be applied to areas where there is a conflict between economic development and environmental protection. Furthermore, dynamic prediction of green development level and environmental footprint as well as their correlation mechanism under different scenarios are still required for enhancing environmental sustainability and promoting regional coordinated development.

From pollution to prosperity: Using inverted N-shaped environmental Kuznets curve to predict India’s environmental improvement milestones

The purpose of this study is to establish the nature of the Environmental Kuznets Curve and forecast the out-of-sample turning points of the environmental improvement phase using different Gross Domestic Product per capita growth rates. The study further attempts to understand how much growth is needed to shorten the environmental degradation phase of the Environmental Kuznets Curve. By using the Autoregressive Distributed Lag model and its non-linear variant on the ecological footprint data, we show that India has an inverted N-Shaped Environmental Kuznets Curve. Our results show that India is currently in an increasing environmental degradation phase and is likely to enter the environmental improvement phase in the future. The projections based on hypothesised annual average growth rates of 3 percent, 3.5 percent, 4 percent, 4.5 percent, 5 percent, 5.5 percent, 6 percent, and 6.5 percent—show that the current deterioration phase will finish in 2038, 2036, 2034, 2032, 2031, 2030, 2029, and 2028, respectively. Therefore, we conclude that faster growth in Gross Domestic Product per capita shortens the environmental degradation phase and induces the economy to quickly reach the environmental improvement phase.

The role of environmental technologies and clean energy transition in shaping the N-shaped environmental Kuznets curve: A North African perspective

The primary aim of this study is to assess the impact of renewable energy transition and environmental technologies on environmental degradation in North Africa in relation to urbanization. Various econometric methods from the initial and subsequent iterations, such as FM-OLS, D-OLS, and DSUR, were utilized in order to accomplish this. The results suggest that the use of renewable energy has an adverse effect on CO2 emissions, which could lead to a decreased dependence on imported fuels. As opposed to this, environmental technology has a negligible impact on CO2 emissions when economic growth, urbanization, and renewable energy are taken into account. In order to achieve sustainable development and improve environmental conditions, it is critical that North African nations prioritize the integration of renewable energy sources and implement strategies to slow the rate of urbanization. Moreover, a causal analysis reveals that economic growth, the transition to renewable energy, and carbon dioxide emissions are all interdependent. On the contrary, it has been determined that environmental technology and urbanization exert a unidirectional causal influence on CO2 emissions. The results of this research indicate that policymakers in these countries should promote environmentally friendly investments and increase public consciousness regarding environmental technologies. Additionally, it is advisable for these countries to contemplate the adoption of global agreements, such as the Kyoto Protocol, in order to mitigate environmental contamination and strengthen regulatory frameworks pertaining to advancements in energy. Furthermore, the results underscore the importance of maintaining a delicate equilibrium between economic expansion and ecological sustainability, while discouraging the promotion of environmentally detrimental production methods.

Exploring the impact of public funds and eco-friendly innovations on reducing carbon pollution in North Africa.

The main objective of this study is to examine the impacts of green energy and public investment on the CO2 emissions in North Africa. Moreover, the study also tests the existence of the N-shaped Environmental Kuznets Curve (EKC) hypothesis for North African countries between 1995 and 2018. These factors were analyzed using the Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS), and Pooled Mean Group (PMG) estimators to obtain estimations of heterogeneous parameters. The outcome of these tests and examinations showed that the N-shaped curve was confirmed. Secondly, The results of the study also demonstrate the effectiveness of renewable energy as an eco-friendly innovation in reducing carbon emissions. This finding highlights the positive impact that renewable energy sources can have in terms of emitting fewer carbon emissions compared to traditional energy sources. Moreover, public investment, which interprets government expenditure, and urbanization contribute to environmental degradation by increasing CO2 emissions in the case of North African countries. Furthermore, the findings also indicated a trade-off effect resulting from the correlation between CO2 emissions and economic development. Based on these findings, the study recommends that economic policymakers in North African countries prioritize transforming the structure of government expenditures to improve environmental quality, optimize the utilization of revenues from non-environmentally friendly energy resources to accelerate the energy transition, increase the exploitation of renewable energy, and promote environmental awareness in society. By implementing these recommendations, North African countries can balance economic growth and environmental quality while reducing their carbon footprint.

New insights on the environmental Kuznets curve (EKC) for Central Asia

We estimate the environmental Kuznets curve (EKC) for Central Asia by allowing for the possibility of linear, U-shaped and N-shaped forms, and considering the impact of ecological footprint, climate change adaptation and energy consumption. We employ a fully modified ordinary least squares framework for cointegrating polynomial regressions, and include obtained long-run relations in a panel Vector Error Correction model. The findings suggest that the linear EKC form is more coherent for Central Asia compared to the N-shaped EKC form. We link this to the fact that the Central Asian countries are in the first stage of the EKC. We observe that Gross domestic product, ecological footprint, energy consumption and climate change adaptation positively impact carbon dioxide emissions in the long-run. Moreover, there is bidirectional causality from GDP\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$GDP$$\\end{document} and climate change adaptation to CO2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${CO}_{2}$$\\end{document} emissions, while causality is unidirectional between emissions and energy consumption.

Revisiting the nexus between economic growth and disaggregated greenhouse gases in India: Evidence from necessary and sufficient conditions

For India, achieving environmental sustainability in the midst of faster growth remains a challenging objective. Therefore, we are revisiting the nature of the Environmental Kuznets Curve (EKC) at different stages of economic growth through both necessary and sufficient conditions under the cubic model specifications in India. Further, we extend the EKC framework by incorporating energy consumption, agricultural value added, trade, the world uncertainty index, and geopolitical risk as additional variables into the three preferred disaggregated greenhouse gas emission (GHG) models. This study employs an auto-regressive distributed lag model (ARDL). The empirical findings show evidence of the valid N-shaped EKC through both necessary and sufficient conditions for carbon dioxide (CO2) and nitrous oxide (N2O) and exhibit the presence of two real and distinct income turning points for both valid EKCs. In contrast, only the necessary condition supports the N-shaped EKC for methane (CH4) emissions in India. Further, the results highlight that trade has a positive impact, whereas the world uncertainty index has a negative impact on disaggregated GHGs. Similarly, geopolitical risk has a negative effect on CH4 and N2O, whereas energy consumption has a positive impact on CO2 emissions. Moreover, agricultural value added has a negative effect on CH4 and a positive effect on N2O emissions. Our empirical findings suggest policy recommendations that can collectively work as a roadmap for India to become emission-neutral by 2070.

Ecofeminism or techno-centrism? Analysing the gender-environment concoction in the Anthropocene: a study of OECD countries.

Women's participation and technological innovation have a crucial role in ensuring environmental sustainability in the long-run. However, the nature of this relationship has diverse opinions across the continuum. The present study focuses on the empirical relevance of this debate based on the theoretical underpinnings of ecofeminism and techno-centrism, using panel data on 37 OECD countries for the period 1990-2019. Employing the Pooled Mean Group (PMG) approach, the study constructs two models, based on ecofeminism and techno-centrism, respectively, and finds that both have a negative and significant impact on environmental degradation measured by the ecological footprint. The results suggest that equality of women in the labour markets and technological innovation through R&D expenditure are both viable developmental tools for ensuring environmental sustainability. Moreover, the empirical estimation also confirms the existence of an N-shaped environmental Kuznets curve between economic growth and environmental degradation in the case of selected OECD countries in both ecofeminist and techno-centric models.

Indonesia’s forest management progress: empirical analysis of environmental Kuznets curve

Purpose. High dependence on land resources is often the main cause of large-scale land conversion and deforestation in Indonesia. However, as a country vulnerable to climate change, Indonesia continues to increase its efforts to improve forest management and reduce deforestation. This is also in line with Indonesia’s commitment to reduce emission levels to achieve Net-Zero Emissions by 2060, where the forestry sector will be the base of this achievement. This study aims to measure Indonesia’s progress during 1970–2018, especially in reducing deforestation. With this study, we can see trends in forest management in developing countries, especially Indonesia. In addition, based on available data, we can see which factors are most closely related to Indonesia’s deforestation rate.
 Methodology / approach. This study uses a time-series data analysis with Error Correction Method (ECM). This ECM is used to detect the existence of the Environmental Kuznets Curve (EKC), which describes the relationship between environmental degradation and economic variables. In this study, EKC is used to assess further relationship pattern between the Gross Domestic Product (GDP) per capita and deforestation. The relation pattern between this GDP and deforestation is tested using quadratic and cubic models.
 Results. Under the quadratic model, a classic inverted U-shape EKC is detected in this study. It means that with economic growth and technological improvement, deforestation can be reduced. In other words, Indonesia has improved its forest management. However, as the N-shape relation was also detected in further cubic model simulation, it is also an indication that, at some point, Indonesia is also prone to increase its deforestation again. Another finding from the model is that the palm oil plantation area strongly relates to the deforested area. At the same time, the simulation detects a negative relationship between the horticulture cropland and the deforested area. The result may capture an insight into the forest transition period in Indonesia. In this transition, the government has started to slow down the speed at which forests are exploited in various ways.
 Originality / scientific novelty. Although the forestry sector is an important economic sector for Indonesia, there is still limited research on this topic, especially at the national level. This study uses more updated statistical information to better describe the Indonesian forestry condition. Moreover, the analysis is aligned with the Indonesian land policy by introducing additional variables from palm oil and crop areas. Moreover, the previous EKC assessments in Indonesia usually only use the quadratic model, which has some limitations in detecting other turning points and seeing the existence of N-shaped or inverted N-shaped EKC. This study also tries to add a bit on cubic model assessment to detect this N-shaped EKC in Indonesia.
 Practical value / implications. This study gives broader information based on the available data and statistics on the country’s deforestation situation and how the economic situation affects it. Policymakers can use the materials from this study to develop an effective forest management system throughout Indonesia.

From growth to sustainability: investigating N-shaped EKC and the role of energy productivity, technological advancement, and human capital in OECD economies.

Environmental degradation rates have been on a concerning upward trajectory in recent decades, directly threatening the well-being of global populations. Responding to this urgent matter, scholars have been driven to explore its nuances, particularly emphasizing lowering energy consumption and carbon emissions amidst the growing demands of growing economies. Achieving the targets outlined in the 2015 Paris Climate Agreement has also become a priority for many countries. Therefore, this study scrutinizes the Environmental Kuznets Curve (EKC) hypothesis, specifically focusing on the role of energy productivity, technological advancement, and human capital in fostering a sustainable environment across 35 OECD economies from 1990 to 2018. Utilizing three robust econometric techniques, Cross-Sectional Autoregressive Distributed Lag (CS-ARDL), Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS), we have drawn insightful conclusions from our data. The analysis substantiates an N-shaped EKC hypothesis relationship between GDP and CO2 emissions, pointing towards an initially increasing, then decreasing, and finally an increasing again trend of emissions with GDP. Furthermore, the long-term projections underscore that energy productivity, technological progression, and human capital formation harm the environment. These findings culminate in a call for governments to orchestrate extensive plans and initiatives. This involves promoting green technologies, renewable energy-based ideas, and comprehensive education and awareness programs. These efforts should span all educational levels, highlighting climate change, sustainable practices, and the need for CO2 reduction, empowering societies to contribute to a sustainable future.

Environmental regulation, renewable electricity, industrialization, economic complexity, technological innovation, and sustainable environment: testing the N-shaped EKC hypothesis for the G-10 economies.

This study examines the validity of the environmental Kuznets curve (EKC) hypothesis and the role of environmental regulation, renewable electricity, industrialization, economic complexity, and technological innovation in sustainable environment for the G-10 economies, namely, Belgium, Canada, Germany, Italy, Japan, Netherlands, Sweden, Switzerland, the United Kingdom, and the USA, from 1994 to 2020. We employed CS-ARDL (cross-sectional augmented distributed lag (CS-ARDL), FMOLS (fully modified ordinary least squares), and DOLS (dynamic ordinary least squares) for the analysis of the data. The estimates confirm the N-shaped EKC hypothesis between the GDP and CO2 emission. Moreover, the long-run estimates exhibit that environmental tax, renewable electricity, economic complexity, and technological innovation have negative effect on CO2 emission, while GDP, industrialization and arable land have positive effect on CO2 emission. Based on these findings, we propose that governments must implement large-scale government plans and initiatives to encourage the development of environmentally friendly technologies and ideas based on renewable energy. Moreover, further growing renewable energy, environmental policies like a carbon tax, investments in green technologies, subsidies, and rewards for renewable energy infrastructure investment should be taken into account.

Impact of economic growth on the changes in forest resources in Inner Mongolia of China

Balancing the relationship between forest resources and economic growth is crucial for achieving sustainable development in China. Inner Mongolia, with its unique geographical environment and relatively underdeveloped economy, exhibits distinctive patterns in its forest resources development and changes. This study investigates the impact of economic growth on forest resources in Inner Mongolia using time-series data from 1980 to 2018 and the cubic curve regression model based on the Environmental Kuznets Curve (EKC) hypothesis. The results reveal an inverted N-shaped EKC relationship, with the forest coverage rate undergoing a “decline-up-decline” evolution process, characterized by turning points 1984 and 2015, and the forest stock volume exhibiting a “decline-up” evolution process with a minimum turning point around 1999. Remarkably, the forest stock volume continues to increase at present and over a foreseeable future. Furthermore, the study finds that population density has a negligible effect on the reduction of forest coverage rate in Inner Mongolia. Lastly, the paper offers policy suggestions to promote the sustainable development of forest resources in the region.

The role of monetary and fiscal policies in determining environmental pollution: Revisiting the N-shaped EKC hypothesis for China.

The equilibrium between environmental quality and economic growth is one of the contemporary objectives of fiscal and monetary policies in the case of China. In this study, we investigate the extent of the existence of the N-shaped environmental Kuznets curve (EKC) hypothesis and measure the collision of fiscal and monetary policy on carbon emissions within the economic growth perspectives that China is witnessing. This study examines the dynamic nexus between monetary supply, government expenditure, and carbon emissions in China over the spanning from 1980 to 2019. The findings demonstrate that the money supply reduces carbon emissions in the short- and long-run. Precisely, a 1-unit augmentation in monetary policy tool (money supply) will significantly reduce the pressure on the environment by 0.29332 unit in the long-run and 0.79311 unit in the short-run. In contrast, the fiscal policy instrument (government expenditure) contributes to the increase in carbon emissions. Specifically, a 1-unit increase in government expenditure will increase the carbon emission by 0.17835 and 0.48247 units in the long-run and short-run, respectively. Additionally, the result also confirmed the N-shaped EKC hypothesis. Particularly, at the initial stage of economic growth, there are 1.58659 and 4.29197 unit increas in carbon emission in the long-run and short-run, respectively. However, after taking the square of economic growth, this reduces the environmental pollution by 0.3018 and 0.81665 units in the long-run and short-run, respectively. Finally, the cubic form of economic growth shows the 0.01755 and 0.04747 units increase in the pollution level in the long-run and short-run, respectively. Moreover, the study also found the presence of a causality link between government expenditure, economic growth, and carbon emissions. These findings will aid policymakers in implementing fiscal and monetary policies that promote long-term development while lowering carbon emissions.

Relationship between financial inclusion and carbon emissions: International evidence

The nexus between financial inclusion and carbon emissions is becoming an increasingly important topic, given the augmented awareness of the negative impacts of climate change and carbon emissions on the environment and human health. In this study, we examine the impact of financial inclusion on carbon emissions using the STIRPAT framework for 102 countries from 2004 to 2020. We measure financial inclusion as a composite index, using principal component analysis (PCA) from five financial inclusion proxies. Our robust panel regression estimations suggest an N-Shaped relationship between financial inclusion and carbon emissions. The N-shaped Environmental Kuznets Curve (EKC) implies that the impact of financial inclusion on carbon emission is nonlinear and changes from an inverted U-shaped to a U-shaped. This finding is strong in developing countries and weak in advanced countries. It is also robust across our two normalized measures of financial inclusion as well as across different estimation techniques. These findings suggest adapting a universal environmental strategy that enhances financial inclusion through strong and accessible financial systems, particularly for low-income countries. Our results further suggest that government authorities and policymakers need to develop well-directed and inclusive financial policies that consider the varying levels of governance, regulations, and income across countries.

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 impact of globalization: The case of central and Eastern European emerging economies

Against the backdrop of piling environmental concerns in the modern era of globalization, this study aims to check the validity of the Pollution Haven Hypothesis (PHH) in Eastern European emerging countries and the relevance of globalization. The study targets to reduce the lack of consensus on the globalization-economic complexity-environment in European countries. Besides, we also intend to explore the existence of an N-shaped economic complexity-related Environmental Kuznets Curve (EKC) controlling for the bearing of renewable energy on environmental degradation. For analytical purposes, both parametric and non-parametric quantile regression approaches are employed. Overall, we find a non-linear relationship between economic complexity and carbon emissions, and N-shaped EKC is verified. Globalization and renewable energy consumption boost and inhibit emissions, respectively. More importantly, the results confirm the moderating role of economic complexity in neutralizing the carbon emissions-boosting effect of globalization.On the other hand, the non-parametric findings show that the N-shaped EKC hypothesis does not hold for high emissions quantiles. Furthermore, for all emissions quantiles, it is found that globalization boosts emissions, economic complexity, and globalization jointly curbs emissions and renewable energy curbs emissions. Based on the overall findings, some vital environmental development policies are recommended. The conclusions support shaping policy options promoting economic complexity and renewable energy as key factors in mitigating carbon emissions.

Economic Activities and Management Issues for the Environment: An Environmental Kuznets Curve (EKC) and STIRPAT Analysis in Turkey

The emission of air pollutants from energy production and consumption is a major cause of environmental problems. In addition, urbanisation and CO2 emissions have become major environmental concerns that are closely related to climate change and sustainable economic growth. The purpose of this paper is to investigate the long-run relationship among CO2 emissions, energy consumption, economic activities, and management issues for Turkey for the period between 1980 and 2021. The STIRPAT hypothesis and the environmental Kuznets curve (EKC) hypothesis were employed by using dynamic conditional correlation (DCC) and ARDL bound methodologies for these goals. The findings indicate that there is a long-run relationship between variables of the STIRPAT model. The coefficient of economic expansion and energy consumption affected CO2 emissions positively, which means that energy consumption and the expansion of economic activity have significant effects on environmental degradation. Those results are also confirmed by the environmental Kuznets curve (EKC) model. In addition, the N-shaped environmental Kuznets curve (EKC) is developed for Turkey. The DCC model also shows that economic growth increases CO2 emissions significantly, and energy productivity can be considered for decreasing CO2 emissions.

The role of wind energy towards sustainable development in top-16 wind energy consumer countries: Evidence from STIRPAT model

Wind energy is the second most extensively used source of renewable energy. This has the potential to maintain long-term economic growth by meeting rising global energy demand while also addressing climate issues. This study explores the factors that drive wind energy consumption and emission reduction in the top-16 wind energy consumer countries from 1992 to 2020. China (38.5 %), the United States of America (16.1 %), and Germany (8.5 %) have the highest shares in terms of global wind turbine capacity. The main implication of this study is that it uses the cubic form of income to explain the technique, scale, and cumulative effects on wind energy and carbon emissions. The study evaluates the mediation effect of income and foreign investment to promote wind energy consumption and reduce emissions. This study explored whether the increment of wind energy capacity is derived from economic growth. The results show an inverted N-shaped curve between income and wind energy consumption. The carbon emissions model shows an N-shaped environmental Kuznets curve. The feedback hypothesis is supported by causality analysis between wind energy and growth. Energy policies aimed at accelerating the transition from fossil fuels to renewables will affect wind energy consumption and wind capacity.

Investigating the N-shaped EKC in China: An imperious role of energy use and health expenditures

Since the industrial revolution, the concentration of greenhouse gases (GHGs)has been increasing steadily. It is to be noted that China emitted 27% of the world’s GHGs in 2019, making it the world’s most significant contributor to climate degradation. The key objectives of this investigation are to ascertain the N-shaped association between CO2 emissions and economic growth in the presence of energy use and domestic government health expenditures. In addition, the research inspected the role of Belt and Road Initiative through economic globalization in China. This study utilized the autoregressive distributed lag model and found that an N-shaped environmental Kuznets curve exists in China. Furthermore, the study discovered that economic globalization improves ecological excellence in the short run. Nonetheless, energy consumption and health expenditures considerably amplify the intensity of CO2 emanation in China in the long run. The research suggested that installing green industries through economic globalization can imperatively lessen environmental degradation. Moreover, installing technological firms will be more beneficial in the long run to overcome environmental degradation rather than importing from other countries. The study elaborated momentous causation effects among the study variables through the Granger causality test.