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Information and communication technology (ICT) has played an important role in the socio-economic development of human societies but, this development has come with some potential hazards to the environment. However, the experts are divided over this issue, some consider that ICT has exerted a favorable impact on environmental quality whereas; others think that ICT has posed serious threats to the environment. Hence, this study is another effort in exploring the impacts of ICT on CO2 emissions in 9 selected Asian economies which are the top contributors in polluting the environment in the Asian continent for the period of 1990–2018. All previous studies have one thing in common that the impact of ICT on CO2 emissions is symmetric. Whereas, in this study, we have not only relied on the symmetry assumption but also tested the asymmetric impact of ICT on CO2 emissions. The number of countries in which ICT significantly affects the CO2 releases has not changed much in our linear and non-linear models. However, the short-run impact asymmetry in the effects of increased and decreased use of ICT is approved in almost half of the countries, and in long run, these asymmetric impacts further strengthened and observed in more than half of the countries.
Ahmed Usman; Ilhan Ozturk; Sana Ullah; Ali Hassan. Does ICT have symmetric or asymmetric effects on CO2 emissions? Evidence from selected Asian economies. Technology in Society 2021, 67, 101692 .
AMA StyleAhmed Usman, Ilhan Ozturk, Sana Ullah, Ali Hassan. Does ICT have symmetric or asymmetric effects on CO2 emissions? Evidence from selected Asian economies. Technology in Society. 2021; 67 ():101692.
Chicago/Turabian StyleAhmed Usman; Ilhan Ozturk; Sana Ullah; Ali Hassan. 2021. "Does ICT have symmetric or asymmetric effects on CO2 emissions? Evidence from selected Asian economies." Technology in Society 67, no. : 101692.
The reduction in oil prices might make crude oil a cheaper alternative to renewable energy (RE). Given this, the present paper examines the effect of fluctuation of oil prices on the use of RE in the United States (US) during the period 1970 to 2018. We constructed two nonlinear autoregressive distributed lag (NARDL) models to examine the effect of the positive and negative oil price shocks on the use of RE in the US. The RE consumption is taken as the dependent variable and the gross domestic product (GDP), Brent crude prices, population density, trade openness, and price index as independent variables. The result revealed that the rise in crude oil price, GDP, and population density will increase RE use in the short run and in the long run as well. Moreover, the study finds that any decrease in oil prices will decrease RE use in the short run and its effect will eventually diminish in the long run. On the policy front, it is suggested that US should raise its energy security by reducing its dependency on imported crude oil and increase the role of RE through the imposition of taxes on oil and increase the base of production and consumption through a series of measures.
Pritish Kumar Sahu; Sakiru Adebola Solarin; Usama Al-Mulali; Ilhan Ozturk. Investigating the asymmetry effects of crude oil price on renewable energy consumption in the United States. Environmental Science and Pollution Research 2021, 1 -11.
AMA StylePritish Kumar Sahu, Sakiru Adebola Solarin, Usama Al-Mulali, Ilhan Ozturk. Investigating the asymmetry effects of crude oil price on renewable energy consumption in the United States. Environmental Science and Pollution Research. 2021; ():1-11.
Chicago/Turabian StylePritish Kumar Sahu; Sakiru Adebola Solarin; Usama Al-Mulali; Ilhan Ozturk. 2021. "Investigating the asymmetry effects of crude oil price on renewable energy consumption in the United States." Environmental Science and Pollution Research , no. : 1-11.
One of the major challenges to the survival of life on earth is the increasingly evolving climate change. The key source of environmental pollution is global warming. With the combustion of fossil fuels, greenhouse gas (GHG), which is generated in the external environment, is increased and air pollutant as well. The present analysis key intention was to examine the CO2 emission and climatic effects on major agricultural crop production and land use in Pakistan. The study used time span annual data varies from 1970 to 2019, and data stationarity was rectify by utilizing the unit root tests. A generalized method of moments with two-stage least squares technique was applied to expose the variables’ association with CO2 emission. The study consequences uncover that the wheat, maize, sugarcane, cotton, bajra, gram, sesamum crops, and land use have constructive association with CO2 emission having positive coefficients with probability values (0.3762), (0.0435), (0.2287), (0.2303), (0.2272), (0.0192), (0.4535), and (0.0017) correspondingly, while rainfall, temperature, rice, jowar, and barley uncovered an adversative linkage to CO2 emission in Pakistan. As Pakistan is an emerging country, potential constructive measures must be introduced in directive to reduce CO2 emissions to improve the agricultural productivity.
Abdul Rehman; Hengyun Ma; Ilhan Ozturk; Muhammad Irshad Ahmad. Examining the carbon emissions and climate impacts on main agricultural crops production and land use: updated evidence from Pakistan. Environmental Science and Pollution Research 2021, 1 -15.
AMA StyleAbdul Rehman, Hengyun Ma, Ilhan Ozturk, Muhammad Irshad Ahmad. Examining the carbon emissions and climate impacts on main agricultural crops production and land use: updated evidence from Pakistan. Environmental Science and Pollution Research. 2021; ():1-15.
Chicago/Turabian StyleAbdul Rehman; Hengyun Ma; Ilhan Ozturk; Muhammad Irshad Ahmad. 2021. "Examining the carbon emissions and climate impacts on main agricultural crops production and land use: updated evidence from Pakistan." Environmental Science and Pollution Research , no. : 1-15.
Technological innovation has played an important role in the socio-economic development of societies but, this development has come with some potential hazards to the environment. To do so, we use annual time series data over the period 1990–2018 to measure the symmetric and asymmetric effects of technology innovation on carbon emissions for Pakistan. In estimates of linear ARDL model, we found patent (trademark) has negative (positive) short-run symmetric effects on carbon emissions that have been changed into the long-run symmetric insignificant effects in Pakistan. However, when we employed a nonlinear ARDL model, we found the positive and negative shock of the patent has insignificant short-run asymmetric effects while the positive shock of the trademark has an insignificant and negative shock of the trademark has negative significant effects on carbon emissions in the short run. Our findings have been changed into the long-run asymmetric effects in Pakistan. Overall, the results show that asymmetric effects exist between technology innovation and carbon emissions in the long run. Therefore, this empirical research is applicable to policymakers in Pakistan as well as developing economies.
Sana Ullah; Ilhan Ozturk; Muhammad Tariq Majeed; Waheed Ahmad. Do technological innovations have symmetric or asymmetric effects on environmental quality? Evidence from Pakistan. Journal of Cleaner Production 2021, 316, 128239 .
AMA StyleSana Ullah, Ilhan Ozturk, Muhammad Tariq Majeed, Waheed Ahmad. Do technological innovations have symmetric or asymmetric effects on environmental quality? Evidence from Pakistan. Journal of Cleaner Production. 2021; 316 ():128239.
Chicago/Turabian StyleSana Ullah; Ilhan Ozturk; Muhammad Tariq Majeed; Waheed Ahmad. 2021. "Do technological innovations have symmetric or asymmetric effects on environmental quality? Evidence from Pakistan." Journal of Cleaner Production 316, no. : 128239.
According to the Economic Complexity Index, Japan was the number 1 most complex economy in the world. In addition to complexity, Japan pledges to reduce emissions by boosting cleaner energy sources. This study simulates two policies to highlight a path for Japan in achieving this ambitious energy and environmental target. The novel dynamic autoregressive distribution lag (ARDL) model and Kernel-based regularized least squares (KRLS) are adopted over panel data from 1970 to 2018. Empirical evidence from the ARDL and dynamic ARDL models shows that CO2 emissions have a significant long-term relationship with GDP per capita, renewable energy, and economic complexity index while air transport is significant in the short run. Putting it more elaborately, a unit increase in GDP per capita increase the emission by 0.84%–0.96% in the long run and 0.46%–0.48% in the short run. As regards renewable energy, a unit increase in it decrease the carbon emission by 0.07% and 0.04% in the long-run and short-run respectively. Also, an increase in the economic index diminished the emission by 0.81% in the long run. Moreover, economic complexity moderates the role of GDP in environmental degradation as it also has a significant impact on carbon emission.
Festus Fatai Adedoyin; Ilhan Ozturk; Festus Victor Bekun; Phillips O. Agboola; Mary Oluwatoyin Agboola. Renewable and non-renewable energy policy simulations for abating emissions in a complex economy: Evidence from the novel dynamic ARDL. Renewable Energy 2021, 177, 1408 -1420.
AMA StyleFestus Fatai Adedoyin, Ilhan Ozturk, Festus Victor Bekun, Phillips O. Agboola, Mary Oluwatoyin Agboola. Renewable and non-renewable energy policy simulations for abating emissions in a complex economy: Evidence from the novel dynamic ARDL. Renewable Energy. 2021; 177 ():1408-1420.
Chicago/Turabian StyleFestus Fatai Adedoyin; Ilhan Ozturk; Festus Victor Bekun; Phillips O. Agboola; Mary Oluwatoyin Agboola. 2021. "Renewable and non-renewable energy policy simulations for abating emissions in a complex economy: Evidence from the novel dynamic ARDL." Renewable Energy 177, no. : 1408-1420.
In reality, economic expansion cannot be paced-up enough. This account for a potential trade-off between income and environmental degradation that is expectedly feasible at a maximum level of income. On this note, the current study looked at the validity of income-environmental degradation (Environmental Kuznets Curve, EKC) hypothesis especially amidst risk to investment in the United States over the period 1984–2017. Considering that the burning of fossil fuels constitutes the largest source of Greenhouse gas (GHG) in the United States, this study employed energy carbon emissions as a proxy for environmental quality and as a dependent variable. While the study employed renewable energy production as additional explanatory variable, it implemented the Autoregressive Distributed Lag (ARDL) technique in addition to a set of cointegration techniques. Importantly, the study found that the EKC hypothesis is valid for the case of the United States but not without a non-significant trade-off of risk to investment. Additionally, renewable energy production exhibits a statistically significant and desirable impact on environmental quality in both the short and long-run. In general, the study posited that while environmental sustainability is achievable at maximum level of income, it is likely attainable at the detriment of risk to investment. Hence, this observation should trigger a potential policy mechanism that minimizes risk to investment in light of the attainment of the country's sustainable development goals (SDGs).
Andrew Adewale Alola; Ilhan Ozturk. Mirroring risk to investment within the EKC hypothesis in the United States. Journal of Environmental Management 2021, 293, 112890 .
AMA StyleAndrew Adewale Alola, Ilhan Ozturk. Mirroring risk to investment within the EKC hypothesis in the United States. Journal of Environmental Management. 2021; 293 ():112890.
Chicago/Turabian StyleAndrew Adewale Alola; Ilhan Ozturk. 2021. "Mirroring risk to investment within the EKC hypothesis in the United States." Journal of Environmental Management 293, no. : 112890.
The previous literature presents conflicting outcomes on the relationship between financial development and CO2 emissions. This study fixes this puzzle by testing both the direct and indirect effects of financial development on environmental pollution using Environmental Kuznets Curve (EKC) framework. Our empirical investigation relies upon difference and system generalized method of moments for a large sample of 88 developing countries during 2000–2014 period. The estimated outcomes, based on five different indicators of financial development, support the pollution inhibiting role of financial development for the selected countries. We also validate the existence of EKC hypothesis for the panel of economies. More importantly, the results of the indirect channels show that financial development also reduces the adverse effects of income, trade openness and FDI on the pollution emissions. Further, the validity of pollution heaven hypothesis (PHH), tested through trade openness and FDI variables, is also contingent upon the existence of weak financial structure. When financial development traverses certain limits, PHH ceases to exist for both these variables. Lastly, population size augments pollution emissions while human capital reduces the later. Based on these results, we propose some very important policy implications for the sample economies.
Muhammad Khan; Ilhan Ozturk. Examining the direct and indirect effects of financial development on CO2 emissions for 88 developing countries. Journal of Environmental Management 2021, 293, 112812 .
AMA StyleMuhammad Khan, Ilhan Ozturk. Examining the direct and indirect effects of financial development on CO2 emissions for 88 developing countries. Journal of Environmental Management. 2021; 293 ():112812.
Chicago/Turabian StyleMuhammad Khan; Ilhan Ozturk. 2021. "Examining the direct and indirect effects of financial development on CO2 emissions for 88 developing countries." Journal of Environmental Management 293, no. : 112812.
Carbon dioxide emission and GHGs are associated with fossil fuels which have adverse effects on the environment. The key intention of this paper was to determine the asymmetric effect of CO2 emission on expenditures, trade, FDI, and renewable energy consumption in Pakistan. An asymmetrical technique (nonlinear autoregressive distributed lag) was employed to validate the constructive and adverse relation among variables. Furthermore, the Granger causality test was also used to verify the unidirectional association amid variables. Study outcomes revealed that the adverse shocks of renewable energy consumption exposed expressively to upsurge CO2 emission in the short-run dynamics. Conversely, constructive shocks of renewable energy consumption display an adversative association with CO2 emission. Furthermore, the decreasing trend in foreign direct investment tends to impede the detrimental effects of CO2 emission. Additionally, the variable expenditures also create the non-eco-friendly impacts and manifest the positive linkage through CO2 emission. Trade possesses statistically insignificant linkage with environmental degradation. The results also disclose that positive as well as negative variations in the foreign direct investment expose to degrade the environmental eminence. Long-run results suggest the direct association between downward trend in renewable energy consumption and CO2 emission signifying that the pollution level decreases, and the upward trend in renewable energy consumption, however, demonstrates insignificantly positive effects. The results also disclose that positive as well as negative variations in the FDI lead to degrade the CO2 emission. Moreover, it is found that the expenditures soar the issue of pollution again in the long run. Finally, the consequence of trade on CO2 emission is adverse, as the outcome suggests. In order to improve the environmental policies for sustainable growth, the study provides direction toward a sustainable environment by reducing carbon dioxide emission.
Abdul Rehman; Hengyun Ma; Munir Ahmad; Ilhan Ozturk; Cem Işık. An asymmetrical analysis to explore the dynamic impacts of CO2 emission to renewable energy, expenditures, foreign direct investment, and trade in Pakistan. Environmental Science and Pollution Research 2021, 1 -13.
AMA StyleAbdul Rehman, Hengyun Ma, Munir Ahmad, Ilhan Ozturk, Cem Işık. An asymmetrical analysis to explore the dynamic impacts of CO2 emission to renewable energy, expenditures, foreign direct investment, and trade in Pakistan. Environmental Science and Pollution Research. 2021; ():1-13.
Chicago/Turabian StyleAbdul Rehman; Hengyun Ma; Munir Ahmad; Ilhan Ozturk; Cem Işık. 2021. "An asymmetrical analysis to explore the dynamic impacts of CO2 emission to renewable energy, expenditures, foreign direct investment, and trade in Pakistan." Environmental Science and Pollution Research , no. : 1-13.
This work analyzed the long-run (LR) and short-run (SR) effects of renewable and non-renewable energy (RE and NRE) usage, economic development (ED), agricultural value-added (AVA), and forestry area (FA) on the environmental quality (EQ) in China spanning from 1990 to 2015. The autoregressive distributed lags (ARDL) bounds testing method and the Johansen cointegration approach are applied to produce empirical estimates. The empirical results of the ARDL and the fully modified ordinary least square (FMOLS) estimators established that renewable energy usage and forest area reduce CO2 emissions and improve the environmental quality, while non-renewable energy consumption, economic development, and agricultural output increase the level of CO2 emissions in China. The robustness of outcomes is checked through the Granger causality test, impulse response function (IRF), and variance decomposition method (VDM) suggesting that fossil fuel usage in the agriculture production process is mainly accountable for China’s CO2 emissions. These findings have inherent policy implications for the central and local Chinese government, which are exhibited in the “Conclusions” section.
Abbas Ali Chandio; Waqar Akram; Ilhan Ozturk; Munir Ahmad; Fayyaz Ahmad. Towards long-term sustainable environment: does agriculture and renewable energy consumption matter? Environmental Science and Pollution Research 2021, 1 -20.
AMA StyleAbbas Ali Chandio, Waqar Akram, Ilhan Ozturk, Munir Ahmad, Fayyaz Ahmad. Towards long-term sustainable environment: does agriculture and renewable energy consumption matter? Environmental Science and Pollution Research. 2021; ():1-20.
Chicago/Turabian StyleAbbas Ali Chandio; Waqar Akram; Ilhan Ozturk; Munir Ahmad; Fayyaz Ahmad. 2021. "Towards long-term sustainable environment: does agriculture and renewable energy consumption matter?" Environmental Science and Pollution Research , no. : 1-20.
This study attempt to fill the research gap by figuring out the dynamic effects of foreign capital inflows effect on renewable energy and non-renewable consumption by using the time series non-linear ARDL approach for BRICS from 1991 to 2019. Non-linear ARDL estimates show that positive change in foreign capital inflows has a positive effect on renewable consumption in Brazil, India, and South Africa in long run. Also, the negative change in foreign capital inflows exhibits negatively liked with renewable energy consumption in BRICS economies, except Russia in long run. We find that positive shock in foreign capital inflows tends to increase non-renewable energy consumption in BRICS except India in the long run. Finding suggests that negative change in foreign capital inflows has negative impacts on non-renewable energy consumption in India and Brazil, while the positive effect in only China in the long run.
Zhexuan Qin; Ilhan Ozturk. Renewable and Non-Renewable Energy Consumption in BRICS: Assessing the Dynamic Linkage between Foreign Capital Inflows and Energy Consumption. Energies 2021, 14, 2974 .
AMA StyleZhexuan Qin, Ilhan Ozturk. Renewable and Non-Renewable Energy Consumption in BRICS: Assessing the Dynamic Linkage between Foreign Capital Inflows and Energy Consumption. Energies. 2021; 14 (10):2974.
Chicago/Turabian StyleZhexuan Qin; Ilhan Ozturk. 2021. "Renewable and Non-Renewable Energy Consumption in BRICS: Assessing the Dynamic Linkage between Foreign Capital Inflows and Energy Consumption." Energies 14, no. 10: 2974.
The present study aims to investigate the effects of information and communication technology, foreign direct investment, trade and renewable energy use with GDP growth in Pakistan using time series data ranging from 1985 to 2017. Stationarity of data was verified by using unit root tests including ADF and P-P, while an autoregressive distributed lag (ARDL) model was used to check the dynamic association amid prescribed variables with long- and short-run analysis. Furthermore, cointegrating regression analysis with FMOLS, DOLS and CCR was applied to validate the variables causality. The outcomes during long-run analysis show that ICTE, trade and renewable energy have constructive linkage to GDP growth, while foreign direct investment has adverse influence to GDP growth in Pakistan. Similarly, the outcomes from cointegrating regression technique exposed that all variables including foreign direct investment, ICTE and trade have positive and constructive association with GDP growth except renewable energy that causes the adverse association to GDP growth in Pakistan. On the basis of outcomes, we will discuss the policy recommendations.
Abdul Rehman; Hengyun Ma; Munir Ahmad; Ilhan Ozturk; Cem Işık. Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis. Environmental Science and Pollution Research 2021, 1 -13.
AMA StyleAbdul Rehman, Hengyun Ma, Munir Ahmad, Ilhan Ozturk, Cem Işık. Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis. Environmental Science and Pollution Research. 2021; ():1-13.
Chicago/Turabian StyleAbdul Rehman; Hengyun Ma; Munir Ahmad; Ilhan Ozturk; Cem Işık. 2021. "Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis." Environmental Science and Pollution Research , no. : 1-13.
Carbon dioxide emissions have been the primary source of extreme environmental pollution and have detrimental consequences on human life, irrespective of an economy being developed or underdeveloped. For the developing economies, in particular, it is imperative to reduce such emissions in order to sustain the growth of the respective economies. However, for designing appropriate emission reduction policies, it is appropriate to identify the sectors which contribute the most to carbon dioxide emissions and dampen the growth of overall economy. Against this background, the key intention of this study was to examine the influence of carbon dioxide emissions generated from various sources on the economic progress in Pakistan between 1971 and 2017. This study is important for Pakistan to sustain its economic progress and enable the nation to comply with commitments of the Paris Agreement and Sustainable Development Goals. The econometric analysis conducted in this study considers a nonlinear autoregressive distributed lag model which is applied to ascertain the short- and long-run economic growth impacts associated with positive and negative shocks to CO2 emissions generated from various sources. The choice of this model is driven by its capacity to perform an asymmetric analysis which is relevant for suitable policy-making purposes. The overall results, in a nutshell, reveal that carbon dioxide emissions from Pakistan’s transportation sector influence the country’s economic progress. Positive shocks to such carbon dioxide emissions are originate to reduce economic progress in the long run while negative shocks are evidenced to boost economic growth both in the short and long run. In contrast, carbon dioxide emissions from other major sectors are found to be ineffective in influencing Pakistan's economic growth both in the short and long run. Hence, keeping into consideration the prospects of attaining sustainable economic growth, the Pakistan government must prioritize the implementation of CO2 emissions-inhibiting policies within the transportation sector. Simultaneously, the traditional fossil fuel dependency within this sector should also be phased out.
Abdul Rehman; Hengyun Ma; Ilhan Ozturk; Muntasir Murshed; Vishal Dagar. The dynamic impacts of CO2 emissions from different sources on Pakistan’s economic progress: a roadmap to sustainable development. Environment, Development and Sustainability 2021, 1 -24.
AMA StyleAbdul Rehman, Hengyun Ma, Ilhan Ozturk, Muntasir Murshed, Vishal Dagar. The dynamic impacts of CO2 emissions from different sources on Pakistan’s economic progress: a roadmap to sustainable development. Environment, Development and Sustainability. 2021; ():1-24.
Chicago/Turabian StyleAbdul Rehman; Hengyun Ma; Ilhan Ozturk; Muntasir Murshed; Vishal Dagar. 2021. "The dynamic impacts of CO2 emissions from different sources on Pakistan’s economic progress: a roadmap to sustainable development." Environment, Development and Sustainability , no. : 1-24.
The largest challenge still remains in enhancing the living conditions and economic progress, while growing the environmental footprint is related to energy. The move towards renewable sources means that energy utilization can be increased and environmental impacts reduced. The key purpose of the present analysis was to investigate the CO2 emissions interaction to industrialization, energy imports, carbon intensity, economic progress, and gross capital formation by using time span data ranging from 1971 to 2019. Variable stationarity was confirmed by utilizing the unit root tests, while quantile regression analysis was utilized to check the CO2 emission influence on the independent variables. Outcomes showed that industrialization has constructive influence with CO2 emission having coefficient (0.161636) with probability value (0.0000). Similarly the variable energy imports, carbon intensity, and gross capital formation have positive coefficients (0.206843), (0.895212), and (0.442922) with probability values (0.2171), (0.0004), and (0.0002) correspondingly that exposed the positive interaction with CO2 emission in Pakistan. The variable economic progress exposed an adverse impact to CO2 emission with having coefficient (−0.002841) with probability value (0.8795). In directive to improve the economic progress, the government of Pakistan should take future action to minimize carbon dioxide emission from different sectors that cause the climate change.
Abdul Rehman; Hengyun Ma; Ilhan Ozturk. Do industrialization, energy importations, and economic progress influence carbon emission in Pakistan. Environmental Science and Pollution Research 2021, 1 -13.
AMA StyleAbdul Rehman, Hengyun Ma, Ilhan Ozturk. Do industrialization, energy importations, and economic progress influence carbon emission in Pakistan. Environmental Science and Pollution Research. 2021; ():1-13.
Chicago/Turabian StyleAbdul Rehman; Hengyun Ma; Ilhan Ozturk. 2021. "Do industrialization, energy importations, and economic progress influence carbon emission in Pakistan." Environmental Science and Pollution Research , no. : 1-13.
The European Union (EU) is one of the strongest, but most complex unions in the world with a competitive tourism industry. The aim of this study, therefore, is to account for economic complexity index (ECI), Brexit and other crisis episodes in the growth-energy-emissions nexus. Theoretically, the traditional Environmental Kuznets Curve (EKC) model is assessed by adopting a One-step System Generalized Method of Moment (Sys GMM) on data for 26 EU member states over the period from 1995 to 2018. For the first time, an EU-macro regional analysis is conducted with and without the UK. Empirical results reveal that an increase in tourism, real GDP per capita, and energy use across the four EU macro regions leads to increase in carbon emission. In some regions, it was observed that tourism, ECI, Brexit, and the Greece bailout have no significant impact on carbon emission. This suggests that the increase in international travel, complexity of the economy, and financial crisis do not accelerate environmental crisis in such regions. However, where such factors are statistically significant, Brexit and the Greece bailout crisis both heighten emissions. Particularly, when the UK is excluded, Brexit and the Greece bailout crisis increase and reduce emissions, respectively. The EKC hypothesis, however, holds in either scenario. Based on these empirical findings, vital policy directions are suggested for a post-Brexit EU-UK energy and environmental relations.
Festus Fatai Adedoyin; Phillips O. Agboola; Ilhan Ozturk; Festus Victor Bekun; Mary Oluwatoyin Agboola. Environmental consequences of economic complexities in the EU amidst a booming tourism industry: Accounting for the role of brexit and other crisis events. Journal of Cleaner Production 2021, 305, 127117 .
AMA StyleFestus Fatai Adedoyin, Phillips O. Agboola, Ilhan Ozturk, Festus Victor Bekun, Mary Oluwatoyin Agboola. Environmental consequences of economic complexities in the EU amidst a booming tourism industry: Accounting for the role of brexit and other crisis events. Journal of Cleaner Production. 2021; 305 ():127117.
Chicago/Turabian StyleFestus Fatai Adedoyin; Phillips O. Agboola; Ilhan Ozturk; Festus Victor Bekun; Mary Oluwatoyin Agboola. 2021. "Environmental consequences of economic complexities in the EU amidst a booming tourism industry: Accounting for the role of brexit and other crisis events." Journal of Cleaner Production 305, no. : 127117.
Ilhan Ozturk; Muhammad Tariq Majeed; Sher Khan. Decoupling and decomposition analysis of environmental impact from economic growth: a comparative analysis of Pakistan, India, and China. Environmental and Ecological Statistics 2021, 1 -28.
AMA StyleIlhan Ozturk, Muhammad Tariq Majeed, Sher Khan. Decoupling and decomposition analysis of environmental impact from economic growth: a comparative analysis of Pakistan, India, and China. Environmental and Ecological Statistics. 2021; ():1-28.
Chicago/Turabian StyleIlhan Ozturk; Muhammad Tariq Majeed; Sher Khan. 2021. "Decoupling and decomposition analysis of environmental impact from economic growth: a comparative analysis of Pakistan, India, and China." Environmental and Ecological Statistics , no. : 1-28.
Globally, the use of modern technologies is increasing along with carbon emission due to the consumption of fossil fuels to operate modern technologies. Therefore, in this study, we aimed to investigate the relationship between carbon emission, renewable energy consumption, forestry, and agricultural value added per capita from 1998 to 2018. The auto-regressive distribution lag model was estimated for long-run and short-run correlation analysis. The results of this study revealed that carbon emission decreases owed increases in forest areas in the long and well as short-run nexus. Furthermore, in the short run, carbon emission decreases due to an increase in renewable energy consumption. In addition, the carbon emission was run in an upward direction parallel to agricultural financial development. Furthermore, this study confirmed that the unidirectional causality between variables by estimating the non-Granger causality test. Therefore, this study suggests that to combat carbon emissions with carbon emission, it is necessary to switch from nonrenewable energy to renewable energies and organic fertilizer consumption along with afforestation to make the climate free from carbon.
Mansoor Ahmed Koondhar; Muhammad Shahbaz; Ilhan Ozturk; Abid Ali Randhawa; Rong Kong. Revisiting the relationship between carbon emission, renewable energy consumption, forestry, and agricultural financial development for China. Environmental Science and Pollution Research 2021, 28, 45459 -45473.
AMA StyleMansoor Ahmed Koondhar, Muhammad Shahbaz, Ilhan Ozturk, Abid Ali Randhawa, Rong Kong. Revisiting the relationship between carbon emission, renewable energy consumption, forestry, and agricultural financial development for China. Environmental Science and Pollution Research. 2021; 28 (33):45459-45473.
Chicago/Turabian StyleMansoor Ahmed Koondhar; Muhammad Shahbaz; Ilhan Ozturk; Abid Ali Randhawa; Rong Kong. 2021. "Revisiting the relationship between carbon emission, renewable energy consumption, forestry, and agricultural financial development for China." Environmental Science and Pollution Research 28, no. 33: 45459-45473.
Inspired by the Sustainable Development Goals (SDGs), this study focuses on the need for responsible and clean energy consumption, climate change mitigation, and sustainable economic growth. To this end, the study investigates the connection between biomass energy consumption, real GDP, investment in the energy sector, and CO2 emissions in the emerging (E7) countries – China, India, Brazil, Mexico, the Russian Federation, Indonesia and Turkey – for the period 2000–2018. The study uses a battery of techniques, namely Pooled Mean Group‐autoregressive distributed lag, ordinary least square, dynamic ordinary least square, Fully Modified Ordinary Least Squares (PMG‐ARDL, OLS, DOLS FMOLS) and causality estimators, to measure the robustness of the conceptualized relationship among the variables of interest. Empirical results show that conventional energy from fossil fuel sources is a driver of CO2 emissions within the E7 economies. On the other hand, biomass energy consumption and investments in the energy sector decrease CO2 emissions. Furthermore, a feedback causality relationship between biomass energy consumption and CO2 emissions is observed. Similarly, a feedback causality relationship is seen between economic growth and biomass energy consumption. Our study's empirical findings reveal that biomass energy consumption mitigated CO2 emissions in the E7 economies that were examined, suggesting the pivotal role for biomass energy consumption in creating an eco‐friendly environment and environmental sustainability. This requires investment from the private sector, stakeholders, and government administrators in cleaner energy technologies initiatives like biomass. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd
Bright Akwasi Gyamfi; Ilhan Ozturk; Murad A. Bein; Festus Victor Bekun. An investigation into the anthropogenic effect of biomass energy utilization and economic sustainability on environmental degradation in E7 economies. Biofuels, Bioproducts and Biorefining 2021, 15, 840 -851.
AMA StyleBright Akwasi Gyamfi, Ilhan Ozturk, Murad A. Bein, Festus Victor Bekun. An investigation into the anthropogenic effect of biomass energy utilization and economic sustainability on environmental degradation in E7 economies. Biofuels, Bioproducts and Biorefining. 2021; 15 (3):840-851.
Chicago/Turabian StyleBright Akwasi Gyamfi; Ilhan Ozturk; Murad A. Bein; Festus Victor Bekun. 2021. "An investigation into the anthropogenic effect of biomass energy utilization and economic sustainability on environmental degradation in E7 economies." Biofuels, Bioproducts and Biorefining 15, no. 3: 840-851.
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.
Danish Iqbal Godil; Arshian Sharif; Muhammad Iftikhar Ali; Ilhan Ozturk; Rimsha Usman. The role of financial development, R&D expenditure, globalization and institutional quality in energy consumption in India: New evidence from the QARDL approach. Journal of Environmental Management 2021, 285, 112208 .
AMA StyleDanish Iqbal Godil, Arshian Sharif, Muhammad Iftikhar Ali, Ilhan Ozturk, Rimsha Usman. The role of financial development, R&D expenditure, globalization and institutional quality in energy consumption in India: New evidence from the QARDL approach. Journal of Environmental Management. 2021; 285 ():112208.
Chicago/Turabian StyleDanish Iqbal Godil; Arshian Sharif; Muhammad Iftikhar Ali; Ilhan Ozturk; Rimsha Usman. 2021. "The role of financial development, R&D expenditure, globalization and institutional quality in energy consumption in India: New evidence from the QARDL approach." Journal of Environmental Management 285, no. : 112208.
Carbon dioxide emission and climatic variation have a detrimental influence on the atmosphere as well as on agriculture production. The key aim of the present study was to investigate the influence of carbon dioxide emission on livestock, cereal crops production, rainfall and temperature in China by utilizing the vector autoregressive model and Granger causality test for the period 1988–2017. Variables stationarity was verified by using ADF, P-P and KPSS unit root tests. The outcomes through long-run dynamics exposed that agriculture value added and rainfall have a positive influence on carbon dioxide emission, while cereal crops production, livestock production and temperature have an adverse interaction with carbon dioxide emission. Similarly, the results of the short-run analysis also demonstrate that agriculture value added, cereal crops production, livestock production, rainfall and temperature have a significant influence on carbon dioxide emission with their p-values (0.0488), (0.0885), (0.0263), (0.0096) and (0.5141) respectively. Furthermore, the Granger causality test outcomes also exposed a unidirectional linkage amid the variables. In order to improve agricultural productivity, the Chinese government should take potential steps to minimize the carbon dioxide emission from various industries that trigger climate change.
Abdul Rehman; Hengyun Ma; Munir Ahmad; Ilhan Ozturk; Muhammad Zubair Chishti. How do climatic change, cereal crops and livestock production interact with carbon emissions? Updated evidence from China. Environmental Science and Pollution Research 2021, 28, 30702 -30713.
AMA StyleAbdul Rehman, Hengyun Ma, Munir Ahmad, Ilhan Ozturk, Muhammad Zubair Chishti. How do climatic change, cereal crops and livestock production interact with carbon emissions? Updated evidence from China. Environmental Science and Pollution Research. 2021; 28 (24):30702-30713.
Chicago/Turabian StyleAbdul Rehman; Hengyun Ma; Munir Ahmad; Ilhan Ozturk; Muhammad Zubair Chishti. 2021. "How do climatic change, cereal crops and livestock production interact with carbon emissions? Updated evidence from China." Environmental Science and Pollution Research 28, no. 24: 30702-30713.
This study focuses on a thermodynamic performance analysis of a subcritical cascade refrigeration system (CRS) with internal heat exchangers (IHXs) using R41/R601, R41/R602A, and R41/cyclopentane as refrigerant pairs. The effect of evaporator temperature (Tev), condenser temperature (Tcond), and temperature difference in the cascade heat exchanger (ΔTCHX) on examined performance parameters are investigated. Each performance parameter is scrutinized by an optimum low-temperature circuit (LTC) condenser temperature. The operating parameters have some implications on the overall thermodynamic performance of the system. A change of 10 °C in the Tev and Tcond affects the performance of the system by approximately +26% and −8%, respectively. Moreover, a variation of 1 °C in the ΔTCHX reduces the performance of the system by about 2%. The effect of IHXs on the system has some interesting results. The coefficient of performance (COP) and exergy efficiency values of the system using R41/cyclopentane tend to constantly decrease by nearly 4.05%. Although not as much as R41/cyclopentane, there is also a slight drop in the performance of other refrigerant pairs. The discharge temperature in LTC and high-temperature circuit (HTC) compressors exceeds 120 °C for low-temperature refrigeration requirements, which is highly undesirable. Furthermore, the top priority components for the system improvement are HTC condenser, HTC compressor, and CHX. The refrigerant pairs with the thermodynamic performance from best to worst are R41/R601, R41/cyclopentane, and R41/R602A, respectively. Finally, the COP and exergy efficiency values of the modeled system are 10.40% higher and 3.06% lower, respectively, compared with current models in the literature.
Cenker Aktemur; Ilhan Tekin Ozturk. Energy and Exergy Analysis of a Subcritical Cascade Refrigeration System With Internal Heat Exchangers Using Environmentally Friendly Refrigerants. Journal of Energy Resources Technology 2021, 143, 1 -33.
AMA StyleCenker Aktemur, Ilhan Tekin Ozturk. Energy and Exergy Analysis of a Subcritical Cascade Refrigeration System With Internal Heat Exchangers Using Environmentally Friendly Refrigerants. Journal of Energy Resources Technology. 2021; 143 (10):1-33.
Chicago/Turabian StyleCenker Aktemur; Ilhan Tekin Ozturk. 2021. "Energy and Exergy Analysis of a Subcritical Cascade Refrigeration System With Internal Heat Exchangers Using Environmentally Friendly Refrigerants." Journal of Energy Resources Technology 143, no. 10: 1-33.