Displaying publications 61 - 80 of 252 in total

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  1. Abbasi MA, Nosheen M, Rahman HU
    Environ Sci Pollut Res Int, 2023 Apr;30(17):49270-49289.
    PMID: 36764996 DOI: 10.1007/s11356-023-25548-x
    Present climate change consists of global warming that is caused by the emission of greenhouse gases, generally carbon dioxide. The study examines the pollution haven, pollution halo, and environmental Kuznets curve for a number of Asian countries during the period of 1985 to 2020. Outcomes suggest that urbanization, gross domestic product per capita, energy consumption, and foreign direct investment inflow have positive effects, while gross domestic product square, foreign direct investment square, and tourism have negative effects on emissions of carbon dioxide. Furthermore, findings support the validity of the environmental Kuznets curve, pollution haven, and pollution halo hypothesis for the selected Asian countries. We also find robust results of rationality of the environmental Kuznets curve hypothesis for Pakistan, Bangladesh, India, China, Indonesia, Korea, Japan, Malaysia, Vietnam, and Singapore; of pollution haven hypothesis for Bangladesh, China, Indonesia, Japan, Pakistan, and Singapore; and of pollution halo hypothesis for Bangladesh, China, Indonesia, Japan, Pakistan, and Singapore.
    Matched MeSH terms: Economic Development*
  2. Bulut U, Ongan S, Dogru T, Işık C, Ahmad M, Alvarado R, et al.
    Environ Sci Pollut Res Int, 2023 Aug;30(36):86138-86154.
    PMID: 37400702 DOI: 10.1007/s11356-023-28319-w
    This study examines the impact of government spending, income, and tourism consumption on CO2 emissions in the 50 US states through a novel theoretical model derived from the Armey Curve model and the Environmental Kuznets Curve hypothesis. The findings of this research are essential for policymakers to develop effective strategies for mitigating environmental pollution. Utilizing panel cointegration analysis, the study provides valuable insights into whether continued increases in government spending contribute to higher pollution levels. By identifying the threshold point of spending as a percentage of GDP, policymakers can make informed decisions to avoid the trade-off between increased spending and environmental degradation. For instance, the analysis reveals that Hawaii's tipping point is 16.40%. The empirical results underscore the importance of adopting sustainable policies that foster economic growth while minimizing environmental harm. These findings will aid policymakers in formulating targeted and efficient approaches to tackle climate change and promote long-term environmental sustainability in the United States. Moreover, the impact of tourism development on CO2 emissions varies across states, with some US states experiencing a decrease while others see an increase.
    Matched MeSH terms: Economic Development*
  3. Wenlong Z, Nawaz MA, Sibghatullah A, Ullah SE, Chupradit S, Minh Hieu V
    Environ Sci Pollut Res Int, 2023 Mar;30(15):43040-43055.
    PMID: 35501438 DOI: 10.1007/s11356-022-20431-7
    Over the last three decades, the world has been facing the phenomenon of the ecological deficit as the ecological footprint is continuously rising due to the persistent decline of the per-capita bio-capacity. Moreover, there is a substantial increase in globalization and electricity consumption for the same period, and transportation is contributing to economic prosperity at the cost of environmental sustainability. Understanding the determinants of ecological footprint is thus critical for suggesting appropriate policies for environmental sustainability. As a result, this study analyzes the impacts of economic globalization, transportation, coal rents, and electricity consumption in ecological footprint in the context of the USA over the period 1995 to 2018. The data have been extracted from "Global Footprint Network," "Swiss Economic Institute," and "World Development Indicators." The current study has also applied the flexible Fourier form nonlinear unit root test to examine the stationarity among variables. For the empirical estimation, a novel technique, the "quantile auto-regressive distributive lag model," is applied in the study to deal with the nonlinear associations of the variables and to evaluate the long-term stability of variables across quantiles. The study's findings indicate that coal rents, transportation, and globalization significantly and positively contribute to the deterioration of ecological footprints at different quantile ranges in the short and long run. Electricity consumption is found to have a positive and significant impact at lower quantile ranges in the long run but not have a significant impact in the short run. The study suggested that lowering the dependence of the transport sector on fossil fuels, more use of hydroelectricity, and stringent strategies to curb coal consumption would be helpful to reduce the positive influence of these variables on ecological footprints in the USA.
    Matched MeSH terms: Economic Development*
  4. Gyamfi BA, Onifade ST, Ridzuan AR, Shaari MS, Jena PK
    Environ Sci Pollut Res Int, 2023 Sep;30(41):93667-93685.
    PMID: 37507569 DOI: 10.1007/s11356-023-28868-0
    In the wake of various catastrophic consequences of climate change, Malaysia, a rapidly developing economy, is also inevitably experiencing environmental degradation that merits prompt and serious attention from policymakers and its government. Hence, this study simultaneously highlights the short and long-run dynamic connections between carbon emission in Malaysia and the trio of corruption levels, foreign investment inflow, and trade liberalization. The study also controls for a combination of other factors including energy use, GDP, and urbanization. A robust empirical analysis was conducted on time series observations for the country based on the recent Dynamic ARDL simulation. It was observed that Malaysia's per capita pollution levels significantly reduces based on the corruption perception levels during the sampling period while the economic expansion's effect on emission levels is positive. Additionally, urbanization, trade levels and energy use all aggravate the emission levels. On the other hand, although FDI poses an insignificant environmental damage in the short run, its environmental sustainability enhancement roles were supported by its long-run negative impacts on carbon emission. Lastly, the EKC was established and as such, essential policy directions were provided for stakeholders in the rapidly emerging Malaysian economy.
    Matched MeSH terms: Economic Development*
  5. Cui W, Yang Y, Dai J
    Environ Sci Pollut Res Int, 2023 Oct;30(50):109559-109570.
    PMID: 37775636 DOI: 10.1007/s11356-023-29907-6
    The present study empirically confabulates the authenticity of the "resource curse hypothesis" in selected emerging nations. Furthermore, we also assessed the interconnections of three essential economic indicators with financial development, i.e., human development, political stability, and gross domestic product. To effectuate these objectives, we used annual data for the time frame 1990 to 2020 and advanced panel estimation techniques for getting the empirical outcomes. The study's empirical outcomes illustrate the existence of the "resource curse hypothesis" in sample nations. In addition, human development index and gross domestic product play an essential part in the furtherance of financial development in the long-run. The human development index is upsurging the financial development. Furthermore, political stability is also exerting a favorable influence on financial development. A similar interconnection is observed in the short-time period; nonetheless, the amplitude of the short-run impacts is smaller if we have a look at the long-run impacts. The empirical analysis offers a few pertinent policy insights for policymakers to improve the situation in the selected sample. Note: Financial development positively interconnected with human development, GDP and political stability while negatively associated with natural resources, respectively.
    Matched MeSH terms: Economic Development*
  6. Ding Y, Chin L, Taghizadeh-Hesary F, Abdul-Rahim AS, Deng P
    Environ Sci Pollut Res Int, 2023 Dec;30(59):123067-123082.
    PMID: 37979120 DOI: 10.1007/s11356-023-31069-4
    This study utilized panel data from 132 countries spanning from 1996 to 2019 to examine the effect of government efficiency on carbon emission intensity. Using a fixed effect model, the study found that stronger government efficiency is associated with a significant decrease in carbon emission intensity. Robustness tests were performed, the results of which consistently supported the main findings. Additionally, the study investigated the mechanisms underlying the linkage between government efficiency and carbon emission intensity, revealing that improved government efficiency can inhibit carbon emission intensity by fostering environmental innovation and promoting renewable energy consumption. Finally, the study examined the moderating effects of national income level, economic freedom, democracy, and ruling party ideology on the nexus of government efficiency and carbon emission intensity, and found empirical evidence supporting these moderating effects. These results provide new insights for governments seeking to reduce carbon emission intensity.
    Matched MeSH terms: Economic Development*
  7. Xu H, Zhang F, Li W, Shi J, Johnson BA, Tan ML
    Environ Monit Assess, 2023 Dec 27;196(1):94.
    PMID: 38150164 DOI: 10.1007/s10661-023-12249-8
    This study analyzed the spatial-temporal change pattern and underlying factors in production-living-ecological space (PLES) of Nanchong City, China, over the past 20 years using historical land use data (2000, 2010, 2020). A land use transfer matrix was calculated from the historical land use maps, and spatial analysis was conducted to analyze changes in the land use dynamics degree, standard deviation ellipse, and center of gravity. The results showed that there was a rapid spatial evolution of the PLES in Nanchong from 2000 to 2010, followed by a stabilization in the second decade. The transfer of ecological-production space occurred mainly in the Jialing and Yilong River basins, while the reduction of production space and the increase of living space were most prominent in the intersection of three districts (Shunqing, Jialing, and Gaoping districts). The return of production-ecological space was observed in the south and northeast of Yingshan, and there was little notable transfer of other types. The distribution of production space in Nanchong evolved in a north-south to east-west trend, with the center of gravity moving from Yilong to Peng'an County. The living space and production space expanded in a north-south direction, and the center of gravity position was in Nanbu, indicating a more balanced growth or decrease in the last 20 years. The changes in the spatial-temporal pattern of PLES in Nanchong were attributed to the intertwined factors of national policies, economic development, population growth, and the natural environment. This study introduced a novel approach towards rational planning of land resources in Nanchong, which may facilitate more sustainable urban planning and development.
    Matched MeSH terms: Economic Development*
  8. Subramaniam Y, Loganathan N, Subramaniam T
    J Environ Manage, 2024 Feb;351:119646.
    PMID: 38042078 DOI: 10.1016/j.jenvman.2023.119646
    Governance has become indispensable within the healthcare sector, but previous studies have not explored the potential environmental benefits linked to healthcare governance. Thus, this study focuses on the role of governance in moderating healthcare and environmental emissions in 159 low, lower-middle, upper-middle and high-income countries. To do so, cross-sectional autoregressive distributed lag (CS-ARDL) techniques were applied using panel data from 1999 to 2021, followed by the computation of threshold and marginal effect of governance on healthcare and environmental emissions nexus. Findings revealed that, with the exception of high-income countries in the short run, governance has an insignificant impact on healthcare and emissions nexus in low-, lower-middle and upper-middle-income countries. Surprisingly, the findings imply that, in the long run, countries with greater levels of governance are likely to have lesser environmental impacts related to healthcare. There was also evidence indicating that low, lower-middle, upper-middle and high-income countries must reach a certain level of governance before realising the benefits of healthcare. Therefore, to achieve lower environmental impacts from healthcare, countries must promote effective governance policies that can incentivise and enforce sustainable practices and technologies in the healthcare sector.
    Matched MeSH terms: Economic Development*
  9. Dilanchiev A, Sharif A, Ayad H, Nuta AC
    Environ Sci Pollut Res Int, 2024 Feb;31(10):14912-14926.
    PMID: 38285262 DOI: 10.1007/s11356-024-32150-2
    A country's financing system is essential in addressing sustainable development requirements. National sources and international financial flows contribute to economic growth and environmental quality in many ways, and their impact can be critical. This paper applied panel data analysis using a comparative approach of Pooled Mean Group Auto Regressive Distribute Lags (PMG-ARDL) and Cross Sectionally ARDL (CS-ARDL) to estimate the effects of FDI, renewable energy, and remittance on environmental quality in the top remittance-receiving countries, during 2000-2021. The study emphasized the positive relationship between FDI and carbon emissions. Moreover, renewable energy and remittances revealed an inverted U-shaped relationship with carbon emissions. In the case of developing countries from the panel, remittance improves environmental quality after reaching the threshold. Moreover, for some of the developing countries included in the panel, we found that they do not achieve the desired carbon mitigation effect in their early stages of renewable energy implementation. However, renewable energy becomes a key factor for tackling environmental pollution after a certain threshold. The mixed results determined diverse policy recommendations for various stakeholders.
    Matched MeSH terms: Economic Development*
  10. Godil DI, Sharif A, Ali MI, Ozturk I, Usman R
    J Environ Manage, 2021 May 01;285:112208.
    PMID: 33618139 DOI: 10.1016/j.jenvman.2021.112208
    The aim of this research is to explore the association between financial development, research and development (R&D) expenditures, globalization, institutional quality, and energy consumption in India by using the quarterly data of 1995-2018. Quantile Autoregressive Distributed Lag (QARDL) approach is employed to examine the relationship. An application of the QARDL approach suggests that the R&D, financial development, globalization, and institutional quality significantly influence energy utilization in India. R&D and institutional quality have a negative effect on energy utilization which shows that due to the increase in the quality of institutions and R&D in the country, energy utilization is likely to decrease. However, globalization and financial performance have a positive influence on energy which depicts that due to the increase in financial performance and globalization in India the energy consumption is likely to increase. According to the outcomes of this research, India should make a policy to ease the penalties of energy utilization by monitoring resource transfer by means of globalization and by implementing energy conversation procedures through the advancement of the financial sector.
    Matched MeSH terms: Economic Development*
  11. Koondhar MA, Tan Z, Alam GM, Khan ZA, Wang L, Kong R
    J Environ Manage, 2021 Oct 15;296:113242.
    PMID: 34271346 DOI: 10.1016/j.jenvman.2021.113242
    China is the world's largest fossil fuel consumer and carbon emitter country. In September 2020, China pledged to reduce carbon emissions, and achieve carbon neutrality by 2060. Therefore, this study aimed to contribute to the literature and show the pictorial nexus of bioenergy and fossil fuel consumption, carbon emission, and agricultural bioeconomic growth, a new pathway towards carbon neutrality. For this study, time-series data from 1971 to 2019 were used to analyze the autoregressive distributed lag (ARDL) bound testing and novel dynamic autoregressive distributed lag (DYNARDL) simulation models. Initially, the unit root tests results showed that all variables were stationarity at the level and first difference. The presence of cointegration between selected variables was confirmed by the results from ARDL bound test. In addition, the results of long-run and short-run nexus show an increase in bioenergy consumption that caused an increase in agricultural bioeconomic growth both in the long and short-run nexus. A decrease in fossil fuel consumption was shown to result in increased agricultural bioeconomic growth with respect to both long- and short-term effects. Furthermore, the results of the novel dynamic ARDL simulation model demonstrated that a 10% positive shock from bioenergy consumption caused an increase in agricultural bioeconomic growth, while at the same time, a 10% negative shock in bioenergy consumption led to a decrease. A 10% negative shock from fossil fuels caused an increase in agricultural bioeconomic growth, whereas a 10% positive shock from fossil fuels led to a decrease. Therefore, this study suggests that China needs to switch from fossil fuel and other non-renewable energy consumption to sources of bioenergy and other renewable energy consumption to achieve carbon neutrality by 2060.
    Matched MeSH terms: Economic Development*
  12. Chien F, Sadiq M, Nawaz MA, Hussain MS, Tran TD, Le Thanh T
    J Environ Manage, 2021 Nov 01;297:113420.
    PMID: 34333309 DOI: 10.1016/j.jenvman.2021.113420
    Environmental degradation is significantly studied both in the past and the current literature; however, steps towards reducing the environmental pollution in carbon emission and haze pollution like PM2.5 are not under rational attention. This study tries to cover this gap while considering the carbon emission and PM2.5 through observing the role of renewable energy, non-renewable energy, environmental taxes, and ecological innovation for the top Asian economies from 1990 to 2017. For analysis purposes, this research considers cross-sectional dependence analysis, unit root test with and without structural break (Pesaran, 2007), slope heterogeneity analysis, Westerlund and Edgerton (2008) panel cointegration analysis, Banerjee and Carrion-i-Silvestre (2017) cointegration analysis, long-short run CS-ARDL results, as well as AMG and CCEMG for robustness check. The empirical evidence in both the short- and long-run has confirmed the negative and significant effect of renewable energy sources, ecological innovation, and environmental taxes on carbon emissions and PM2.5. Whereas, non-renewable energy sources are causing environmental degradation in the targeted economies. Finally, various policy implications related to carbon emission and haze pollution like PM2.5 are also provided to control their harmful effect on the natural environment.
    Matched MeSH terms: Economic Development*
  13. Goh CS, Ahl A, Woo WT
    Trends Biotechnol, 2021 01;39(1):1-4.
    PMID: 32546309 DOI: 10.1016/j.tibtech.2020.05.010
    Biotechnology will play a key role in transforming current land-use systems alongside the digital revolution by using five strategies: enhancing productivity at the farm or plantation level, replenishing degraded land, enabling landscape management for resilience, upgrading and diversifying downstream activities, and creating new value propositions.
    Matched MeSH terms: Economic Development*
  14. Yue L, Xue D, Draz MU, Ahmad F, Li J, Shahzad F, et al.
    PMID: 31936543 DOI: 10.3390/ijerph17020446
    Urbanization has made tremendous contributions to China's economic development since its economic reforms and opening up. At the same time, population agglomeration has aggravated environmental pollution and posed serious challenges to China's environment. This article empirically investigates the impacts of China's urbanization on eco-efficiency, comprehensively reflecting economic growth, resource input, and waste discharge. We first measured the provincial eco-efficiency in China from 2005 to 2015 using the Super Slack-Based model (Super-SBM). We then constructed a spatial model to empirically analyze the effects of urbanization on eco-efficiency at the national level, and at four regional levels. The results indicated that the regional eco-efficiency in China has fluctuated, but is generally improving, and that a gap between regions was evident, with a trend toward further gap expansion. We observed an effect of spatial spillover in eco-efficiency, which was significant and positive for the whole country, except for the western region. The influence of urbanization on China's eco-efficiency exhibited a U-curve relationship. The changing trend in the eastern, central, and western regions was the same as that in the whole country; however, the trend exhibited an inverted U-curve relationship in the northeastern region. To the best of our knowledge, covering a time period of 2005-2015, this article is the first of its kind to study the impact of urbanization on eco-efficiency in China at both the national and regional levels. This study may help policy-makers to create sustainable policies that could be helpful in balancing urbanization and the ecological environment.
    Matched MeSH terms: Economic Development*
  15. Sirajudeen AO, Law TH, Wong SV, Jakarni FM, Ng CP
    J Safety Res, 2021 09;78:262-269.
    PMID: 34399922 DOI: 10.1016/j.jsr.2021.06.007
    INTRODUCTION: Past empirical studies indicated that there is a Kuznets or reverse U-shaped relationship between road deaths and per capita income, such that the number of road death increases at a low level of per capita reverse U-shaped relationship was observed between road injuries and per capita income. While these studies explored the impact of per capita income on road deaths and road injuries, no studies have examined the relationship between per capita income and road death to road injury ratio (DPI).

    METHOD: Using a fixed effects panel regression analysis from 67 countries spanning over a period of five decades (1960-2013), the present study sought to explore the impact of per capita gross domestic product (per capita GDP) on the DPI ratio and the underlying factors responsible for the relationship.

    RESULTS: Our result suggests that per capita GDP followed a reverse U-shaped relationship with DPI. Moreover, the relative improvements in higher mobility roads as compared to improvements in higher accessibility roads, motorcycle ownership to passenger car ownership ratio, percentage of population living in an urban area, infant mortality rate, and the percentage of population below 15 years of age and above 64 years of age contributed to this relationship. Practical Applications: This implies that, at lower level of economic growth where road deaths exceed road injuries, countries should implement low-cost measures to combat road deaths cases. Such measures include mandating wearing of quality helmets and daytime running headlights for motorcycles. On the other hand, at higher level of economic growth where road injuries surpass road deaths, countries are encouraged to devote more resources to improving medical technology and services to treat road injury victims, mandating seatbelt use, as well as enhancing and promoting public transportation service.

    Matched MeSH terms: Economic Development*
  16. Bhowmik R, Zhu Y, Gao K
    PLoS One, 2021;16(12):e0261270.
    PMID: 34936662 DOI: 10.1371/journal.pone.0261270
    China-ASEAN are the two huge markets in trade world, they can bring out greater dynamism from within their economies and contribute to regional economic development. This study explores the present situation on the trade between the Central region of China and ASEAN through empirical assessment and try to find the potential effects and trade flows between them. Firstly, we analysis the trade integration index, HM index, explicit comparative advantage index, and trade complementarity index. Finally, we use the gravity model of international trade and data on 2006-2018. The bilateral trade relations between the central region and ASEAN are getting closer, but the central region has not yet become the major trade area of ASEAN countries in the Chinese market. The bilateral economic development level plays a positive role in promoting the export trade between the Central region and ASEAN, while the bilateral distance plays a negative role in difficulty. The empirical results show that trade potential between the Central region and Indonesia and the Philippines is huge, and there is still opportunity for the development of the trade potential with Thailand. The trade prospective with Malaysia, Singapore and Vietnam is limited, and new approaches need to be developed to achieve further trade cooperation.
    Matched MeSH terms: Economic Development*
  17. Azam M, Khan AQ
    Environ Sci Pollut Res Int, 2017 Jul;24(19):16407-16417.
    PMID: 28550635 DOI: 10.1007/s11356-017-9299-4
    This study examines the impact of economic growth, corruption, health, and poverty on environmental degradation for three countries from ASEAN, namely Indonesia, Malaysia, and Thailand using annual data over the period of 1994-2014. The relationship between environmental degradation (pollution) by carbon dioxide (CO2) emissions and economic growth is examined along with some other variables, namely health expenditure, poverty, agriculture value added growth, industrial value added growth, and corruption. The ordinary least squares (OLS) method is applied as an analytical technique for parameter estimation. The empirical results reveal that almost all variables are statistically significant at the 5% level of significance, whereby test rejects the null hypotheses of non-cointegration, indicating that all variables play an important role in affecting the environment across countries. Empirical results also indicate that economic growth has significant positive impact, while health expenditures show significantly negative impact on the environment. Corruption has significant positive effect on environment in the case of Malaysia; while in the case of Indonesia and Thailand, it has insignificant results. However, for the individual analysis across countries, the regression estimate suggests that economic growth has a significant positive relationship with environment for Indonesia, while it is found insignificantly negative and positive in the case of Malaysia and Thailand, respectively, during the period under the study. Empirical findings of the study suggest that policy-makers require to make technological-friendly environment sequentially to surmount unregulated pollution, steady population transfers from rural areas to urban areas are also important, and poverty alleviation and better health provision can also help to improve the environment.
    Matched MeSH terms: Economic Development*
  18. Godil DI, Ahmad P, Ashraf MS, Sarwat S, Sharif A, Shabib-Ul-Hasan S, et al.
    Environ Sci Pollut Res Int, 2021 May;28(17):21486-21498.
    PMID: 33415625 DOI: 10.1007/s11356-020-11839-0
    This study is a scholarly effort to broaden the existing literature on the impact of transportation services, urbanization, and financial development on ecological footprints in Pakistan. Data used in this study covers the period of 39 years from 1980 to 2018. This study adopted the QARDL model to tackle the non-linear association of variables and test their long-run stability across the different quantiles. The findings of this study indicated a significant negative association of transportation services and financial development with ecological footprints in Pakistan at almost all quantiles whereas, the urban population was found to be positively associated with the ecological footprint in Pakistan. Results also justify the existence of the EKC hypothesis in the scenario of Pakistan. Policymakers are advised to frame strategies for investors to invest more in eco-friendly projects to curtail the ecological footprints in Pakistan. Minimizing the dependency of the transportation sector on fossil fuel, and increased use of energy-efficient appliances in the urban population would be beneficial to control the negative influence on ecological footprints in Pakistan.
    Matched MeSH terms: Economic Development*
  19. Ahmad M, Muslija A, Satrovic E
    Environ Sci Pollut Res Int, 2021 May;28(18):22588-22601.
    PMID: 33420933 DOI: 10.1007/s11356-020-12276-9
    Since developing countries experience economic and environmental sustainability challenges, it is desirable digging into the linkages between economic and environmental parameters. The purpose of this work is to evaluate the existence of the environmental Kuznets curve (EKC) theory (i.e., the inverse U-shape connection between real GDP per capita and per capita carbon dioxide emissions) in the sample of 11 developing countries. By using balanced annual panel data in the period between 1992 and 2014 and two alternative estimation techniques, we explored the potential inverted U-shaped linkage between carbon dioxide emissions and real GDP per capita in the sample of interest. For analysis purposes, Pedroni and Westerlund co-integration techniques are employed. Then, fully modified ordinary least squares, pooled mean group methods are applied for long-run parameter estimations. And, the Dumitrescu-Hurlin causality approach is employed for causal directions. Firstly, this work's findings provide the supportive evidence to the inverse U-shaped linkage in the long-run, indicating that an increase in real GDP per capita and electricity consumption tends to mitigate long-run carbon dioxide emissions in the developing countries, for the whole sample. Secondly, the country-specific findings suggested the presence of EKC theory for Brazil, China, India, Malaysia, the Russian Federation, Thailand, and Turkey. It implicated that these countries are on the path of attaining environmental sustainability in the long-run. However, Mexico, Philippines, Indonesia, and South Africa failed to lend credence to the EKC theory. It manifested that these countries need to design strategies directed to reduce carbon dioxide emissions from economic activity and electricity generation through efficiency improvement or promotion of renewables. Finally, bidirectional causal links are observed among all the variables of interest. The findings suggest that country-specific targeted action plans should be implemented to ensure the environmental sustainability in the developing world.
    Matched MeSH terms: Economic Development*
  20. Nawaz MA, Hussain MS, Kamran HW, Ehsanullah S, Maheen R, Shair F
    Environ Sci Pollut Res Int, 2021 Apr;28(13):16014-16028.
    PMID: 33245544 DOI: 10.1007/s11356-020-11823-8
    Recent research has shown a huge impact of non-renewable energy (NRE) production on environmental health. In this context, this work analyzes the effects of GDP growth and long- and short-term consumption of renewable and non-renewable energy (RE and NRE, respectively) on carbon emission in BRICS and OECD economies. The quantile autoregressive distributed lag (QARDL) model was employed on the panel data from 1980 to 2016. Findings suggest a negative GDP-carbon emission correlation and a positive NRE-carbon emission correlation in the considered economies. Furthermore, carbon emission decreases with increase in gross capital formation, whereas trade openness does not have any significant effect on carbon emission. It has been determined that the application of the error correction method (ECM) has less effect on energy consumption as compared to the past levels and changes in energy consumption. In the long-term, a positive correlation of carbon emission and energy consumption is observed, whereas limited short-term effects of energy consumption on carbon emission are observed. Therefore, an RE-based energy production approach is recommended in the selected region for the future projects.
    Matched MeSH terms: Economic Development*
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