The Impact of Air Transportation on Carbon Dioxide, Methane, and Nitrous Oxide Emissions in Pakistan: Evidence from ARDL Modelling Approach

2018 ◽  
Vol 3 (6) ◽  
pp. 7-32 ◽  
Author(s):  
Syeda Anam Hassan ◽  
Misbah Nosheen
Keyword(s):  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Carbon Dioxide Emissions ◽  
Air Transportation ◽  
Methane Emissions ◽  
Nitrous Oxide Emissions ◽  
Positive Relation ◽  
Long Run ◽  
The Impact ◽  
Bound Test

No one can deny the progression and innovation in the aviation transportation collected at national and international level. But the accountancy of the impact of air transportation on environmental degradation is naive and emerging trend of the current era. The air transportation versus environment is the key contribution to the literature that is solely conducted for Pakistan first time in this context. The objective of this research is to compute the impact of air transportation on carbon dioxide emissions, nitrous emissions and methane emissions separately in the three models by applying ARDL bound test approach during 1990 to 2017. The result depicts significant and positive relation of air transportation (carriage) to carbon dioxide emissions (0.77), nitrous emissions (0.20) and methane emissions (0.38) in long-run. The short-run results infer that the air transportation (passenger) has significantly positive relation to carbon dioxide emissions (0.278), nitrous emissions (0.207), and methane emissions (0.080). The econometric outcomes show the significant and direct relation to transportation (both passenger and cargo) to carbon dioxide, methane, and nitrous oxide emissions in short and long-run. Moreover, per capita GDP, population density, and energy demand also significantly affect the environment showing significant and positive coefficients to all three categories (carbon dioxide, methane, and nitrous oxide) of emission. In case of Pakistan, FDI and trade for this duration didn’t significantly contribute to the CO2, NO2, and methane emissions. Since the last decade the economic issues of Pakistan like terrorism, political instability, energy crises, and poor management along with the worst performance by tertiary sectors have severely hit the economy, and as a result, the FDI and trade sector has tormented in a substantial proportion. Finally, pairwise Granger causation also supports the short and long-run consequences. The outcomes suggested that the fuel-efficient energy use and technological diversification in the transportation sector are essential to mitigate the degrading environmental emissions.

scholarly journals Ammonia, Hydrogen Sulfide, and Greenhouse Gas Emissions from Lab-Scaled Manure Bedpacks with and without Aluminum Sulfate Additions

Environments ◽  
2019 ◽  
Vol 6 (10) ◽  
pp. 108 ◽  
Author(s):  
Spiehs ◽  
Woodbury ◽  
Parker
Keyword(s):  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Hydrogen Sulfide ◽  
Carbon Dioxide Emissions ◽  
Aluminum Sulfate ◽  
Methane Emissions ◽  
Nitrous Oxide Emissions ◽  
Ammonia Emissions ◽  
Alum Treatment ◽  
Entire Treatment

The poultry industry has successfully used aluminum sulfate (alum) as a litter amendment to reduce NH3 emissions from poultry barns, but alum has not been evaluated for similar uses in cattle facilities. A study was conducted to measure ammonia (NH3), greenhouse gases (GHG), and hydrogen sulfide (H2S) emissions from lab-scaled bedded manure packs over a 42-day period. Two frequencies of application (once or weekly) and four concentrations of alum (0, 2.5, 5, and 10% by mass) were evaluated. Frequency of alum application was either the entire treatment of alum applied on Day 0 (once) or 16.6% of the total alum mass applied each week for six weeks. Ammonia emissions were reduced when 10% alum was used, but H2S emissions increased as the concentration of alum increased in the bedded packs. Nitrous oxide emissions were not affected by alum treatment. Methane emissions increased as the concentration of alum increased in the bedded packs. Carbon dioxide emissions were highest when 5% alum was applied and lowest when 0% alum was used. Results of this study indicate that 10% alum is needed to effectively reduce NH3 emissions, but H2S and methane emissions may increase when this concentration of alum is used.

Foreign Direct Investment Dependence and the Neglected Greenhouse Gas: A Cross-National Analysis of Nitrous Oxide Emissions in Developing Countries, 1990–2014

2020 ◽  
pp. 073112142093773
Author(s):  
Steven Andrew Mejia
Keyword(s):  
Carbon Dioxide ◽  
Developing Countries ◽  
Nitrous Oxide ◽  
Foreign Direct Investment ◽  
Greenhouse Gas ◽  
Carbon Dioxide Emissions ◽  
Direct Investment ◽  
Methane Emissions ◽  
Nitrous Oxide Emissions ◽  
National Analysis

Scholars have long inquired the anthropogenic causes of greenhouse gas emissions. The majority of empirical work focuses on carbon dioxide and methane emissions, but limited attention is paid to nitrous oxide emissions. This is a crucial omission as nitrous oxide emissions are an extremely potent greenhouse gas and trigger ozone-depleting reactions upon reaching the atmosphere. Using a fixed effects panel regression of 106 developing countries, I estimate the effect of foreign direct investment dependence on nitrous oxide emissions. I find foreign capital dependency is positively associated with nitrous oxide emissions, supporting a refined ecostructural theory of foreign direct investment dependence. This analysis highlights the need for social scientists to consider the environmental impacts of the transnational organization of production beyond carbon dioxide emissions and methane emissions.

scholarly journals The Symmetric and Asymmetric impact of FDI Inflows, Economic growth, and Capital Investment on CO2 Emission in Oman-Evidence from ARDL and NARDL Approach

2021 ◽  
Author(s):  
Ishfaq Hamid ◽  
Md Shabbir Alam ◽  
Muntasir Murshed ◽  
Pabitra Kumar Jena ◽  
Nadia Sha ◽  
...  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Foreign Direct Investment ◽  
Carbon Dioxide Emissions ◽  
Direct Investment ◽  
Capital Investment ◽  
Symmetric Model ◽  
Causality Test ◽  
Long Run ◽  
Bound Test

Abstract This study examines the symmetric and asymmetric nexus between capital investment, economic growth, foreign direct investment, and CO2 emissions in Oman during 1980- 2019. For this purpose, we applied ARDL Model for linear cointegration and NARDL model for nonlinear cointegration between capital investment, economic growth, foreign direct investment, and CO2 emissions. The bound test shows the long-term equilibrium relationship among CO2 emissions, capital investment, economic growth, and FDI in both models. The error correction mechanism demonstrates that CO2 emissions congregate to their long-run equilibrium level at a 50.1 percent annual pace of adjustment by integrating capital investment, economic growth, and FDI under the symmetric model. The causality test results show that carbon emissions and FDI, economic growth, and CO2 emissions exhibit bidirectional causal links. While, on the other hand, unidirectional causal links are running from capital investment to GDP. The asymmetric results show that positive shocks to FDI and economic growth have significant tumbling consequences on Oman's carbon dioxide emissions.In contrast, negative shocks in FDI and economic growth substantially increase carbon dioxide emissions. The research findings also reveal that carbon dioxide emissions are more resilient to negative shocks in FDI and economic growth. Based on these results, this study accomplishes that abatement measures should consist of strategies to enhance the deepness of FDI and economic growth in the Oman economy.JEL Classification: F21, Q56, C22

The Impact of Trade Openness on Environmental Pollution

2015 ◽  
pp. 221-232 ◽  
Author(s):  
Murat Cetin ◽  
Fahri Seker ◽  
Hakan Cavlak
Keyword(s):  
Carbon Dioxide ◽  
Environmental Pollution ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Industrialized Countries ◽  
Newly Industrialized Countries ◽  
Long Run ◽  
Causality Tests ◽  
The Impact

This chapter analyzes the impact of trade openness on environmental pollution in the newly industrialized countries that have focused on trade over the period 1971-2010 by using recently developed panel unit root, cointegration, and causality tests. The results indicate a cointegration relationship between the variables. The results also show that trade openness increases carbon dioxide emissions with the elasticity of 0.53 and there is a Granger causality running from trade openness to carbon dioxide emissions in the long run. These findings may provide some policy implications. Without taking into account impact of trade on pollutions, optimistic environmental Kuznets curve hypothesis would be invalid. Therefore, policymakers who decide on environment policies should pay attention to not only growth effects but also trade effects on pollutions. Future empirical analysis would expose the new evidences for governmental policies and environmental regulations to change these effects positively.

scholarly journals Symmetric and asymmetric effects of financial development on carbon dioxide emissions in Nigeria: Evidence from linear and nonlinear autoregressive distributed lag analyses

2020 ◽  
Vol 38 (5) ◽  
pp. 2059-2078 ◽  
Author(s):  
Philip C Omoke ◽  
Silva Opuala-Charles ◽  
Chinazaekpere Nwani
Keyword(s):  
Carbon Dioxide ◽  
Financial Development ◽  
Carbon Dioxide Emissions ◽  
Asymmetric Effects ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Linear And Nonlinear ◽  
The Impact ◽  
Nonlinear Autoregressive

This study examines the impact of financial development on carbon dioxide emissions in Nigeria over the period 1971–2014. Income per capita, energy consumption, exchange rate and urbanization are incorporated in the analysis. The empirical analysis based on linear and nonlinear autoregressive distributed lag techniques provides evidence of long-run relationship among the variables in Nigeria. The results in general show that financial development has significant asymmetric effects on carbon dioxide emissions in Nigeria. Both short-run and long-run analyses show that the impact of positive changes in financial development on carbon dioxide emissions is significantly different from that of negative changes. The results suggest that in Nigeria positive shocks in financial development have significant reducing effect on carbon dioxide emissions, while negative shocks in financial development have significant increasing effect on carbon dioxide emissions. The empirical results also show that the response of carbon dioxide emissions to negative shocks in financial development is stronger. Based on these findings, this study concludes that mitigation policies would need to incorporate strategies to strengthen the depth of financial intermediation in the Nigerian economy.

scholarly journals Causal Relationship Among Carbon Dioxide (CO2) Emissions, Renewable Energy, Population and Economic Growth in Bangladesh: An Empirical Study

2020 ◽  
Vol 11 (6) ◽  
pp. 196
Author(s):  
Shanjida Chowdhury ◽  
K. B. M. Rajibul Hasan ◽  
Mahfujur Rahman ◽  
K. M. Anwarul Islam ◽  
Nurul Mohammad Zayed
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Economic Development ◽  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Carbon Dioxide Co2 ◽  
Bound Test

Developing countries face environmental degradation crisis due to the consumption of nonrenewable energy for economic development induces ecological destruction. However, the consequences of environmental deterioration can no longer be overlooked. Using data from 1990 from 2018, this study scrutinized the long-run equilibrium along with the trend among consumption of renewable energy, carbon dioxide emissions, Population, and economic growth in Bangladesh. This study reveals the significant cointegration of renewable energy with controlled variables using the ARDL bound test. Also, ECM with ARDL unrestricted version enables us to decide the speed of adjustment is 27.647% addressed for short-run elasticity in the long run. Stability and further diagnostic tests are performed for model post estimation and validation. Also, it needs further steps from the government side to promote renewable energy that boosts economic development.

scholarly journals The role of the globalisation process on mitigation of carbon dioxide emissions of Latin American & Caribbean countries

2021 ◽  
Vol 16 (45) ◽  
Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas
Keyword(s):  
Carbon Dioxide ◽  
Panel Data ◽  
Latin American ◽  
Environmental Degradation ◽  
Carbon Dioxide Emissions ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Impact

The impact of globalisation on carbon dioxide emissions was analysed in a panel data of thirteen LAC countries for the period from 1991 to 2012. A panel autoregressive distributed lag methodology was used to decompose the total effects of globalisation on carbon dioxide emissions both in short- and long-run components. There is evidence that globalisation contributes to reducing carbon dioxide emissions in the long-run. A possible explanation of this result is that the process of globalisation causes technological enhancement in LAC countries, which contributes to a decrease in environmental degradation. Globalisation has other implications, such as the transfer of responsibility from the state to the private sector, where this transfer corresponds to the shifting of regulatory attributes to independent governmental regulatory authorities, in other words, “regulation for competition”.

scholarly journals Silicone v1.0.0: an open-source Python package for inferring missing emissions data for climate change research

2020 ◽  
Author(s):  
Robin D. Lamboll ◽  
Zebedee R. J. Nicholls ◽  
Jarmo S. Kikstra ◽  
Malte Meinshausen ◽  
Joeri Rogelj
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Open Source ◽  
Carbon Dioxide Emissions ◽  
Nitrous Oxide Emissions ◽  
Future Climate Change ◽  
Anthropogenic Emissions ◽  
Climate Change Research ◽  
Python Package

Abstract. Integrated assessment models (IAMs) project future anthropogenic emissions for input into climate models. However, the full list of climate-relevant emissions is lengthy and most IAMs do not model all of them. Here we present silicone, an open-source Python package which infers anthropogenic emissions of missing species based on other known emissions. For example, it can infer nitrous oxide emissions in one scenario based on carbon dioxide emissions from that scenario plus the relationship between nitrous oxide and carbon dioxide emissions in other scenarios. This broadens the range of IAMs available for exploring projections of future climate change. Silicone forms part of the open-source pipeline for assessments of the climate implications of IAMs by the IAM consortium (IAMC). A variety of infilling options are outlined and their suitability for different cases are discussed. The code and notebooks explaining details of the package and how to use it are available from the GitHub repository, https://github.com/GranthamImperial/silicone. There is an additional repository showing uses of the code to complement existing research at https://github.com/GranthamImperial/silicone_examples.

scholarly journals The Negative Impact of Renewable Energy Consumption on Carbon Dioxide Emissions: An empirical evidence from South American Countries

2017 ◽  
Vol 6 (5) ◽  
Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Negative Impact ◽  
South American ◽  
Renewable Energy Consumption ◽  
Long Run ◽  
Short Run ◽  
The Impact

The impact of renewable energy consumption on the carbon dioxide emissions was analyzed for a panel of ten South American countries in a period from 1980 to 2012. The Autoregressive r to decompose the total effect of renewable energy consumption on the carbon dioxide emissions in its short- and long-run components. The results indicate that the consumption of renewable energy reduce the carbon dioxide emissions in -0.0420 % when the consumption of alternative sources increases in 1% in short-run. Keywords: Renewable energy, environmental, energy economics, econometric. 

scholarly journals Silicone v1.0.0: an open-source Python package for inferring missing emissions data for climate change research

2020 ◽  
Vol 13 (11) ◽  
pp. 5259-5275
Author(s):  
Robin D. Lamboll ◽  
Zebedee R. J. Nicholls ◽  
Jarmo S. Kikstra ◽  
Malte Meinshausen ◽  
Joeri Rogelj
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Open Source ◽  
Integrated Assessment ◽  
Carbon Dioxide Emissions ◽  
Nitrous Oxide Emissions ◽  
Future Climate Change ◽  
Anthropogenic Emissions ◽  
Python Package

Abstract. Integrated assessment models (IAMs) project future anthropogenic emissions which can be used as input for climate models. However, the full list of climate-relevant emissions is lengthy and most IAMs do not model all of them. Here we present Silicone, an open-source Python package which infers anthropogenic emissions of unmodelled species based on other reported emissions projections. For example, it can infer nitrous oxide emissions in one scenario based on carbon dioxide emissions from that scenario plus the relationship between nitrous oxide and carbon dioxide emissions found in other scenarios. Infilling broadens the range of IAMs available for exploring projections of future climate change, and hence Silicone forms part of the open-source pipeline for assessments of the climate implications of IAM scenarios, led by the Integrated Assessment Modelling Consortium (IAMC). This paper presents a variety of infilling options and outlines their suitability for different cases. We recommend certain infilling techniques as good defaults but emphasise that considering the specifics of the model being infilled will produce better results. We demonstrate the package's utility with three examples: infilling all required gases for a pathway with data for only one emission species, splitting up a Kyoto emissions total into separate gases, and complementing a set of idealised emissions curves to provide a complete, consistent emissions portfolio. The code and notebooks explaining details of the package and how to use it are available on GitHub (https://github.com/GranthamImperial/silicone, last access: 2 November 2020). The repository with this paper's examples and uses of the code to complement existing research is available at https://github.com/GranthamImperial/silicone_examples (last access: 2 November 2020).

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