Environmental Degradation In China Research Articles

Exploring asymmetric influence of R&D expenditures on CO2 emissions in China: evidence from nonlinear ARDL model.

R&D spending upsurges technological advancement and innovation which results in lowering energy consumption and environmental degradation. The current study investigates the asymmetrical impact of R&D spending on CO2 emissions in China via employing annual data from 1980 to 2021 and the NARDL model for empirical analysis. The estimated results of the NARDL model confirmed that there are asymmetries in positive and negative coefficients of R&D spending in China. The results depict that the positive shock in R&D spending exerts a negative and statistically significant impact on CO2 emissions in both runs implying that an increase in R&D spending lowers CO2 emissions. However, the negative coefficient of R&D spending yields a positive and statistically significant impact on CO2 emissions revealing the fact that a negative shock in R&D spending results in the upsurge of CO2 emissions in China. According to these findings, the impact of positive and negative shocks in R&D spending on CO2 emissions is asymmetric. The findings also show that the impact of a negative shock in R&D spending is greater than the impact of a positive shock on CO2 emissions. In addition to the negative shock in R&D spending, increases in energy consumption, economic growth, and FDI inflows also contribute to an upsurge in CO2 emissions in China. The robustness of the estimated results is assessed using standard fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models. The FMOLS and DOLS results have been confirmed to be sound and consistent with the results of the NARDL model. The study suggests that the economic strategies should aim at investing in R&D spending to foster environment-friendly technological innovations and to lower environmental degradation in China.

Does green finance reduce environmental degradation? The role of green innovation, environmental tax, and geopolitical risk in China

In the last few decades, China has faced the pressing effects of climate change due to its rapid progress in industrialization and economic expansion. China has taken the lead in developing aggressive plans to reduce environmental degradation. Considering this, several studies conclude that green finance, green innovation, and environmental taxation stand out as the most efficacious strategies for reducing environmental degradation. Also, geopolitical concerns can make it difficult to implement plans, particularly when there is political unrest, hostilities, or hostility between countries. Therefore, this work explores the influence of green finance, green innovation, environmental tax, and geopolitical risk to mitigate environmental degradation in China. This research employed a novel dynamic ARDL simulation model for long-run association, KRLS for robustness check, and frequency domain causality for checking casual relationships from 1990 to 2020. The findings indicated that green finance, green innovation, and environmental tax mitigate the consumption and production-based carbon emissions, while geopolitical risk has adverse implications for environmental sustainability. The frequency domain causality test findings suggested that green finance, green innovation, environmental tax, and geopolitical risk have long-term casual associations in both models. These findings provide specific policy suggestions to assist China in reducing environmental deterioration and achieving the SDGs.

Financial innovation, environmental degradation, and environmental Kuznets curve trends in China.

This study examines the environmental Kuznets curve (EKC) theory and its possible relevance in the context of China and the complex and one-of-a-kind interaction between financial innovation, environmental deterioration, and China. China's fast industrialization and consequent economic expansion have been accompanied by significant environmental difficulties, despite the country's status as the world's second largest economy. The research takes a secondary data approach to its investigation of this topic, drawing on a large dataset that spans many decades to ensure a thorough examination of the dynamic interaction between financial innovation and numerous environmental variables. The primary objective of this research is to determine whether or not recent developments in financial technology have contributed to the current trends of environmental degradation in China. In keeping with the central tenet of the EKC hypothesis, this study uses cutting-edge econometric techniques to investigate the existence of nonlinear correlations and inflection points. In addition, the research analyzes how policy interventions and regulatory measures have shaped the tendencies spotted. In elucidating the usefulness of financial innovation as a tool for promoting environmental betterment, this study's findings substantially contribute to the current discussion around sustainable development and economic policy. This research also carefully assesses the applicability of the EKC theory in China, providing insights that may be used to inform future environmental policy decisions. Ultimately, the success of measures to promote sustained economic growth and the preservation of the environment in China depends on an in-depth understanding of these delicate relationships. In addition, the lessons learned from this study have the potential to serve as a guide for economies facing similar difficulties.

Nexus between economy, technology, and ecological footprint in China

In contemporary times, nations across the globe, encompassing both developed and emerging economies, are actively pursuing the objective of achieving sustainable economic growth. China, as a prominent emerging nation, holds a significant position in the worldwide environment. However, it is imperative to acknowledge that China's ecological impact is substantial, as evidenced by its considerable contribution of almost one-third of the total global carbon emissions in the year 2021. The encouraging aspect lies in the emergence of China as a significant economic power, which may be attributed to the positive impact of technological advancements. The scientific literature suggests that the use of novel technologies has the potential to contribute significantly to mitigating environmental degradation. The objective of this study is to investigate the impact of China's economic growth and technological advancements on ecological footprint throughout the period spanning from 1985 to 2020. This study utilizes the ecological footprint concept as a means to assess environmental degradation in China. The ARDL cointegration methodology is utilized to estimate the long- and short-term impacts, and the outcomes are validated through the application of further cointegration regression techniques. Furthermore, the pairwise Granger causality analysis is employed to examine the causal links among the variables. The empirical evidence suggests that economic expansion exacerbates environmental degradation in China, whereas technological progress plays a mitigating role in addressing this issue. The results of the study also demonstrated a bidirectional causality between economic growth and technological innovation, suggesting that China's economic growth and technological progress mutually reinforce one another. The paper proposes green technical solutions that have the potential to mitigate environmental degradation while maintaining economic growth. Sustaining long-term economic prosperity necessitates the implementation of both carbon emission taxation and strategic investments in environmentally beneficial technologies.

The dynamic role of green technological innovation, financial development and trade openness on urban environmental degradation in China: Fresh insights from carbon efficiency

Research has established that green technological innovation, financial development, and trade openness are factors that contribute to environmental degradation in China. The current study endeavoured to move the efforts in the direction of enhancing the understanding of the use of carbon efficiency as an indicator of environmental degradation instead of traditional CO2 emissions or ecological footprint. The recently developed dynamic Autoregressive Distributed Lag simulations (DARDLS) approach is employed for the annual time series data from 1990 to 2018 to perform the empirical investigation. Results from the DARDLS indicated that both green technological innovation and financial development positively affected carbon efficiency in the long term in China. On the other hand, trade openness exacerbated the environmental problem in both short and long run. While the public is increasingly attending to controlling environmental degradation, these findings suggest that it would be essential for policymakers to develop more initiatives to increase green technological innovation and financial development to mitigate environmental degradation in China. Finally, the use of carbon efficiency as an indicator of environmental degradation in the current study will contribute new ideas to the existing body of knowledge in examining the factors affecting environmental degradation.

Depletion of natural resources and environmental quality: Prospects of energy use, energy imports, and economic growth hindrances

Depletion of natural resources and their impact on environmental quality is a pressing concern that requires urgent attention. As the world's population continues to grow, the demand for energy increases, leading to the potential exhaustion of finite resources. This document aims to explore the prospects of energy use, energy imports, and the hindrances to economic growth related to these issues. This paper examines the depletion of natural resources and environmental quality in China from 1971 to 2019, using energy use, energy imports, and economic growth hindrances as moderator variables. The long-run estimates indicate that a 1% increase in natural resource depletion decreases environmental degradation in China by 0.016554%. Moreover, a 1% increase in energy use increases China's CO2 emissions (environmental degradation) by 1.64283%. The result shows energy use and economic growth are positively related to CO2 emissions. Energy imports and natural resource depletion are negatively associated with CO2 emissions. Moreover, energy use and economic growth, energy imports, and natural resource depletion degrade the environmental quality in China. The Chinese government should take steps to ensure that the depletion of natural resources does not hurt the economy. In particular, the government should seek to create incentives for businesses to invest in sustainable practices and resources. This would have the dual effect of reducing the depletion of natural resources and increasing economic growth. Moreover, the Chinese government must strengthen its legal framework to ensure natural resources are managed responsibly. This includes establishing clear regulations for resource extraction and introducing penalties for companies who violate these regulations.

How do energy supply and energy use link to environmental degradation in China?

China's energy supply and energy use are closely linked to environmental degradation. The country's heavy reliance on coal, oil, and natural gas, as well as its rapidly growing demand for energy, have contributed to air and water pollution, soil erosion, and other environmental problems. To address these issues, China must transition to cleaner and more sustainable forms of energy and implement policies to reduce energy demand and promote conservation. This paper explores the impacts of total primary energy supply and energy use on environmental degradation in China, using international trade and economic growth as moderating variables from 1971 to 2019. The results indicate that the total primary energy supply is significant at a 1% significance level, which suggests that it strongly impacts the ecological footprint. Energy use and international trade are significant at a 5% level, indicating that they also influence ecological footprint, albeit to a lesser extent. Economic growth is significant at a 1% significance level, suggesting a strong positive association with the ecological footprint. Energy supply improves the environment in China, whereas energy use degrades the environment. Policymakers should focus on promoting energy efficiency in the industrial and transportation sectors. This can be achieved through the implementation of energy-saving technologies, the promotion of public transportation, and the development of low-carbon transportation systems.

Analyzing the Impact of Geopolitical Risk, and Renewable Energy Towards Sustainable Development in China

Geopolitical relationship among the economies plays a crucial role in the environmental sustainability. In lieu our research reveals that whether geopolitical risk asymmetrically affects the reduction of carbon emission? To investigate this issue, we scrutinize the impact of geopolitical risk using annual data spanning 1990-2018 for China. Furthermore, our study employs nonlinear and liner autoregressive distributed lag simulations at the same time to argue the impact of geopolitical risk on environmental sustainability. Our empirical outcomes evidenced the asymmetric effect of geopolitical risk on the environment by indicating a positive association among geopolitical risk and environmental sustainability. Moreover, increasing foreign direct investment upsurges CO2 emanation which proves the pollution haven proposition. The results expressed a significant positive link of energy ingesting and GDP influence on CO2 emanation while renewable energy consumption reduces CO2 emission. Therefore, utmost attention must be taken to balance the environment and geopolitical risk. It is necessary to take initiatives to reforms policies that protect the environment without affecting geopolitical risk. Additionally, government officials and policymakers should articulate strategies to encourage renewable energy consumption as the energy combination outpouring to enrich the excellence of the environment. The findings also advocate that policymakers to welcome the environment-friendly foreign direct investment as it is the perpetrator to upsurge environmental degradation in China.

Does Technological Innovation Reduce Environmental Degradation? Evidence from China

Developed and developing countries are trying to achieve sustainable growth in the present era. Unfortunately, despite being the world’s largest developing country, China is among those countries that have a high ecological footprint as it emits 27% of global carbon emissions in 2021. However, the encouraging fact is that China has become an emerging economy due to technological advancement. Many existing studies have suggested that technological innovation can overcome environmental degradation. Therefore, this study examines whether technological innovation has reduced environmental degradation in China from 1985 to 2018. This study uses the ecological footprint to measure environmental degradation in China. Furthermore, this study also explores the role of economic growth, trade openness, and population on environment. To estimate the models, ARDL cointegration technique is applied, and the findings are further validated using CCR, DOLS, FMOLS, and Granger causality techniques. Overall, empirical results indicate that technological advancement negatively impacts China’s short- and long-term ecological footprint. This is understandable because more innovation leads to better technology that consumes fewer resources and has lower ecological footprints. However, environmental degradation is exacerbated by economic growth and population growth, whereas trade openness helps to mitigate environmental degradation in China. The diagnostic analysis of the study confirms the absence of heteroscedasticity, multicollinearity, and model instability. The study recommends using eco-friendly technologies that can reduce the usage of harmful alternative energy sources. Furthermore, carbon emissions need to be taxed, and environment friendly technologies need to be supported to promote long-term economic growth. .

Asymmetrically examining the impact of green finance and renewable energy consumption on environmental degradation and renewable energy investment: The impact of the COVID-19 outbreak on the Chinese economy

The recent global recession due to Covid-19 has led to a drop in natural resource prices, which has contracted energy demand. Amid this concern, environmentally sustainable renewable energy projects have become uncompetitive and an obstacle to achieving the Sustainable Development Goals (SDGs). Following the nonlinear autoregressive distributed lag (NARDL) model proposed by Shin et al. (2014), to asymmetrically explore the impact of green bonds on renewable energy investment and environmental pollution and the impact of renewable energy consumption on environmental degradation in China over the period 1970–2020.​ The results show that the expansion of green bonds (GB+) significantly promotes renewable energy investment and reduces environmental pollution, while the contraction of green bonds (GB−) significantly reduces renewable energy investment and stimulates environmental damage. Likewise, expansion of renewable energy consumption (REC+) significantly reduced environmental degradation, while contraction of renewable energy consumption (REC−) significantly contributed to environmental degradation. Moreover, the result also validates the existence of inverted U-shaped EKC hypothesis in China The VECM Granger causality test indicate that renewable energy investment, green finance, renewable energy consumption, CO2 emission, and Gross Domestic Product (GDP) have long term causality. Chinese policymakers must focus on strengthening green finance, which will encourage renewable energy investment and renewable energy generation. Moreover, renewable electricity output greatly facilitates renewable energy investment, so China must innovate policies to take into account renewable electricity rather than fossil fuel generation in order to achieve the Sustainable Development Goals (SDGs).

How sustainable environment is influenced by the foreign direct investment, financial development, economic growth, globalization, innovation, and urbanization in China.

This study aims to investigate the impact of foreign direct investment (FDI) inflow, financial development, economic growth, globalization, innovation, and urbanization on the carbon dioxide emissions in China by using long-ran time series dataset from 1970 to 2021 which for the first time used the newly developed dynamic autoregressive distributed lags (ARDL) simulation model for results analysis. Dynamic ARDL simulation model removes the shortcomings of the traditional ARDL models by predicting the actual change (positive and negative shocks) in the independent variables and its impact on the main dependent variables by 5000 simulations through graphical representation. The findings of the long-run dynamic ARDL simulations indicate that FDI inflow, globalization, and innovation negatively and significantly impact the environmental degradation while financial development, economic growth, and urbanization cause to increase the environmental degradation in China. Recommendations are suggested based on the findings of this study.

How do environmental technologies affect environmental degradation? Analyzing the direct and indirect impact of financial innovations and economic globalization

Technology has long been recognized for driving long-term gains in economic prosperity. However, the role of various technologies, i.e., environmental and financial technologies, for environmental degradation is not yet clear. The on-hand study revealed the direct and indirect impact of financial innovations and economic globalization on environmental degradation in China. Moreover, the contribution of ecological technologies to environmental degradation is also captured in this study. The investigation’s findings publicized that financial innovation directly impacts environmental degradation in China; however, it also indirectly affects the environmental degradation through economic globalization, implying that policies regarding economic globalization would also impact environmental quality in China. Moreover, economic globalization indicated direct and indirect impacts on environmental degradation through environmental technologies. Additionally, the study stated that environmental technologies in China harm environmental quality. The study found a significant and inverted U-shaped affiliation between GDP and ecological footprints. The study elaborated the imperious policies to gain sustainable development without harming environmental sustainability. Granger causality test enlightened the bidirectional feedback between financial innovations and environmental degradation.

Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?

In the context of environmental sustainability and accelerated digital technology development, China attaches great importance to the prominent role of digital economy in addressing environmental degradation. Utilizing Chinese provincial panel data from 2011 to 2019, this study investigates whether the digital economy can improve China's environmental sustainability proxy by reducing carbon emission intensity. Based on the fixed effects model, the findings reveal that the digital economy has a significant negative effect on carbon emission intensity and the conclusion remains robust after conducting several robustness checks. However, this impact shows regional heterogeneity, which is more effective in resource-based eastern regions and the Belt and Road provinces. Moreover, mediating effect analyses indicate that the transmission mechanisms are energy consumption structure, total factor energy productivity, and green technology innovation. Furthermore, the results based on the spatial Durbin model (SDM) demonstrate that digital economy development has a significant spatial spillover effect. Finally, on the basis of results analysis and discussion, policy recommendations are provided for achieving environmental sustainability.

Impact of eco-innovation and sustainable tourism growth on the environmental degradation: the case of China

Climate complexities and global warming have made sustainable development a customary topic in environmental literature. Since then, various diggings have been happening in academia. Amongst them tourism and eco-innovation receives the heap due to its contribution to economic development. The study, thereby, examines the impact of tourism, economic growth and eco-innovation on environmental degradation in China. The secondary data has been extracted from World Development Indicators (WDI) database from 1988 to 2020. The nexus among the variables have been examined using Nonlinear Autoregressive Distributed Lagged (NARDL) model. Findings reveal that international tourism receipts, expenditures and number of tourist arrival, GDP, national income and inflation are positively correlated with environmental degradation, while sustainability-oriented eco-innovation is related negatively in case of China. This study has provided help to the regulators while developing new policies regarding environmental degradation by controlling emissions from economic and tourism development and using sustainability-oriented eco-innovation.

Dynamic nexus between transportation, economic growth and environmental degradation in China: Fresh insights from the QARDL approach

The continuous growth of the transport sector and the increase in transportation carbon emissions attract policymakers’ attention. It is of great importance to understand the determinants of pollution from transportation. This study explores the dynamic nexus between transportation, growth, and environmental degradation in China. The QARDL approach is used for the empirical investigation of data series from 1995 to 2018. The findings exposed mixed results in both the long and short run. The result for freight transportation only improves the environment at upper extreme quantiles, while the results are insignificant in the short run. The results show that passenger transportation reduces CO2 emissions at the lower bottom quantiles in the long run, while the results are significant at upper extreme quantiles in the short run. In the case of GDP, the results endorsed the EKC hypothesis in the long run, while in short-run dynamics, the results for GDP2 are found insignificant, which elaborates that China’s economic growth enhances the CO2 emissions. Besides, the quantile causality test showed a bi-directional causality between all variables. The findings of this study provide concrete evidence to the policymakers of China to strengthen the sustainable transportation system by promoting eco-friendly and energy-efficient modes of transportation.

The effect of renewable energy and economic conditions on the environmental degradation in China

Environmental degradation has been recognized as a global issue due to high energy consumption and economic growth. This situation needs researchers to focus on, thereby, the current article examined the impact of renewable energy production (REP), energy import, renewable energy consumption (REC), gross domestic product (GDP), inflation, and foreign direct investment (FDI) on the carbon dioxide (CO2) emission in China. The study considered secondary data and extracted it from the World Bank database covering the period 1981 to 2018. The current article has examined the stationarity of the constructs using Augmented Dickey-Fuller tests and investigated the association among constructs using the quantile autoregressive distributed lag (QARDL) model. The data revealed that REP, energy import, and REC, had a significant and negative linkage with CO2 emission in China. In contrast, GDP, inflation, and FDI are linked with CO2 emission in a positive manner. The article also guided the policymakers regarding the policy development related to reducing carbon emissions using renewable energy production and consumption.

The role of green energy deployment and economic growth in carbon dioxide emissions: evidence from the Chinese economy.

After reform and opening-up, rapid industrialization and urbanization led to environmental degradation in China, including excessive energy consumption, soil contamination, and water pollution. Toward sustainable development, the Chinese government has promoted the introduction of clean energy sources such as geothermal and hydroelectric power generation, which have reduced the environmental burden. However, the impact of this energy shift on environmental improvement and economic growth is unclear. This study empirically analyzes the impact of green energy deployment and economic growth on CO2 emissions in China. The analysis of time series data from 1980 to 2020 shows that in the long run, a 1% increase in renewable energy significantly reduces CO2 emissions by 0.87%, and a 1% increase in GDP significantly increases CO2 emissions by 0.26%. In contrast, in the short run, the negative effect of renewable energy on CO2 emissions and the positive effect of GDP on it are not significant. This result was confirmed after the robustness checks. Based on the results obtained, several policy recommendations are made.

Investigating the role of the tech industry, renewable energy, and urbanization in sustainable environment: Policy directions in the context of developing economies

This paper investigates environmental sustainability by examining the impact of the tech industry, renewable energy, and urbanization environmental degradation in a developing country such as China. This study mainly relates to China for the period 1991 to 2015. Our findings may be extrapolated to other developing countries. We employ several econometric techniques, such as the augmented Dickey-Fuller, the Zivot-Andrew unit root test, autoregressive distributive lags, fully modified ordinary least squares, and canonical cointegrating regression tests, to draw our empirical inferences. Our findings show that there is a significant inverse connection between the tech industry, renewable energy consumption, urbanization, and environmental degradation in China. This negative connection indicates that adding value in the tech industry, increasing the share of renewable energy consumption, and increased urbanization can help reduce environmental degradation. The outcomes of this study suggest some useful policy implications. First, national- and local-level governments should establish specific budgets to promote the use of renewable energy in high-tech industries. Second, policymakers should develop strict policies to increase spending on technological and green innovations. Third, governments should build new smart cities equipped with the latest advanced technologies to encourage more people to move from less developed to highly developed regions.

A Nexus of CO2, Tourism Industry, GDP Growth, and Fossil Fuels

The study investigates the nexus of CO2 emissions, tourism, fossil fuels, and GDP growth using China’s data from 1970 to 2019. The research applied the upset U-molded EKC and the ARDL -models to calculate the time series stationarity variables. The results showed that in the initial enlargement phases, a sophisticated GDP adversely impacts CO2 emissions, then a higher GDP positively influences CO2 emissions. The development of tourism, use of fossil fuels (coal and oil), and population growth show an important influence on CO2 emissions but the use of gas and electricity has little effect on CO2 emissions. In contrast, foreign direct investment besides population development had little effect on increasing CO2 emissions. Retreating foreign direct investment, strengthening the use of sustainable electricity, and improving transportation for explorers, especially the green tourism business, are excellent ways to reduce environmental degradation in China.

Retesting the Influences on CO2 Emissions in China: Evidence From Dynamic ARDL Approach

This study aims to demonstrate the impact of economic growth and energy consumption on environmental degradation in China, the top country that produced the highest carbon dioxide (CO2) emissions, by considering that environmental degradation is one of the extreme challenges that the world and China have been facing. Parallel to this aim, this study uses dynamic ARDL (DYNARDL) simulations to investigate the long-run and short-run cointegration amongst the selected parameters from 1979 to 2019. The results of the long-run and short-run simulations illustrate that 1) economic growth increases environmental degradation; 2) growth in energy consumption worsens the environmental degradation situation; 3) urbanization improves the environmental situation in the long run, whereas growth in urban population increases CO2 emissions in the short-run. The research argues that improved energy production and management should be included in economic policy planning and the government should invest more in renewable energy to prevent environmental degradation.