Modeling the impact of transport energy consumption on CO2 emission in Pakistan: Evidence from ARDL approach

2018 ◽  
Vol 25 (10) ◽  
pp. 9461-9473 ◽  
Author(s):  
Danish ◽  
Muhammad Awais Baloch ◽  
Shah Suad
2020 ◽  
Vol 7 (3) ◽  
pp. 189-204
Author(s):  
Baseerat Sultana ◽  
Abdul Mansoor

Abstract: The goals of the study are to observe the impact of energy consumption, CO2 emission on Pakistan’s economic growth by using and annual time series data from 1980 to 2016.  The Auto regressive lag distributive (ARDL) model is applied to find out the correlation between the variables. The short run elasticity shows that CO2 emission, fossil fuel and hydro energy consumption decreases Pakistan’s economic growth, while nuclear energy consumption and electric power consumption substantially increases GDP per capita of the country. In the long run, nuclear energy consumption and electric power generation support country’s economic growth, which need more friendly environmental policies to reduce high mass carbon emissions in a country.  


2018 ◽  
Vol 7 (4.15) ◽  
pp. 204
Author(s):  
Norimah Rambeli@Ramli ◽  
Norasibah Abdul Jalil ◽  
Emilda Hashim ◽  
Maryam Mahdinezhad ◽  
Asmawi Hashim ◽  
...  

This study tries to investigate the relationship between gross domestic product, electricity product, net trade, electricity consumption and oil price on carbon dioxide (Co2) emission in Malaysia. Thus, it uses the Ordinary Least Square (OLS) method in structuring the model estimation. By utilizing yearly time series data from 1980 to 2017, this study focuses on economics and statistical criteria analyses. According to sign analysis, the results suggest that, gross domestic product, electricity product, net trade and energy consumption affect carbon dioxides (Co2) positively. In contrast, the oil price affects carbon dioxides (Co2) negatively. Furthermore, the results in statistical criteria conclude that the gross domestic product, electricity product and energy consumption are the dominant factors that influence carbon dioxides combustion in the long run in Malaysia.  


Author(s):  
Ghulam Rasool Madni

The impact of institutional quality on environmental sustainability is hardly discussed in literature in spite of its crucial role for economies. This article explores the relationship of institutional quality, energy consumption and real GDP on carbon dioxide (CO2) emissions for selected countries of South Asia covering the period of 1996-2015 by applying unit root tests and the starter panel technique. The findings of study highlight that institutional quality in these countries matter for emission of environmental pollutants. The estimated results reveal the significant positive impact of energy consumption on CO2 emission in long run and economic growth has a quadratic relationship with CO2 emission. However, the EKC (Environmental Kuznets Curve) hypothesis is proved by estimation of long run coefficients of real per capita income and its square value. The findings of study propose that not all countries have to sacrifice growth to reduce CO2 emissions as it can be reduced through energy conservation and improved institutional quality.


2019 ◽  
Author(s):  
Tedi Ahmad Bahtiar ◽  
Amalia Nurjannah ◽  
Maryoko Hadi

Until 2016, fossil fuels as primary energy are included in the top three most widely used. The process of combustion of fossil fuels causes the release of tremendous amounts of carbon to the atmosphere. In the atmosphere, carbon turns into carbon dioxide (CO2) or often called greenhouse gas. Greenhouse gas has a negative impact on the environment: direct effects like acid rains, and indirect effects like global warming. In Indonesia, the buildings used 37.8 percent of the total national energy consumption and are directly responsible for 37.8 percent of CO2 emission. This study aims to discuss the impact of reducing energy consumption used by the household on the risk of greenhouse gases. A computer simulation was used to calculate energy consumption in buildings. A conversion method from building energy consumption to the amount of CO2 emission was used to determine the level of reduction of greenhouse gas risk. Some parameters were evaluated, such as building’s material (e.g., roof, wall) and building geometry. It was found that the energy consumption savings were around 66.1 percent and operational CO2 savings were obtained 923 kg/year.


2019 ◽  
Vol 11 (8) ◽  
pp. 2421 ◽  
Author(s):  
Qiu Chen ◽  
Haoran Yang ◽  
Wenguo Wang ◽  
Tianbiao Liu

Trends of rural residential energy consumption and CO2 emission should be evaluated in a broader context of urbanization, especially in developing countries where urbanization is in its expanding stage. In this study, we use the STIRPAT model and various panel regression techniques to explore the impact of urbanization on rural residential energy consumption and CO2 emission by using data from Southwest China. The results show that a higher urbanization level contributes to higher total residential energy intensity. Increases in net income per capita can decrease the intensities of traditional biomass energy and non-biomass energy, while industrialization has a negative effect only on non-biomass energy intensity. Land use change driven by urbanization can also lower the intensities of total residential energy, traditional biomass energy and non-biomass energy. Moreover, the impact of total residential energy intensity on emissions is positive. Particularly, traditional biomass energy accounts for most of CO2 emissions derived from the use of residential energy. As urbanization is expected to increase in the developing world and lead to more CO2 emissions from rural areas, policies which intend to reduce the intensity of traditional biomass energy, promote biogas and industrialization, and raise net income of rural residents can be used as effective mitigation strategies.


2020 ◽  
pp. 50-64
Author(s):  
Kuladeep Kumar Sadevi ◽  
Avlokita Agrawal

With the rise in awareness of energy efficient buildings and adoption of mandatory energy conservation codes across the globe, significant change is being observed in the way the buildings are designed. With the launch of Energy Conservation Building Code (ECBC) in India, climate responsive designs and passive cooling techniques are being explored increasingly in building designs. Of all the building envelope components, roof surface has been identified as the most significant with respect to the heat gain due to the incident solar radiation on buildings, especially in tropical climatic conditions. Since ECBC specifies stringent U-Values for roof assembly, use of insulating materials is becoming popular. Along with insulation, the shading of the roof is also observed to be an important strategy for improving thermal performance of the building, especially in Warm and humid climatic conditions. This study intends to assess the impact of roof shading on building’s energy performance in comparison to that of exposed roof with insulation. A typical office building with specific geometry and schedules has been identified as base case model for this study. This building is simulated using energy modelling software ‘Design Builder’ with base case parameters as prescribed in ECBC. Further, the same building has been simulated parametrically adjusting the amount of roof insulation and roof shading simultaneously. The overall energy consumption and the envelope performance of the top floor are extracted for analysis. The results indicate that the roof shading is an effective passive cooling strategy for both naturally ventilated and air conditioned buildings in Warm and humid climates of India. It is also observed that a fully shaded roof outperforms the insulated roof as per ECBC prescription. Provision of shading over roof reduces the annual energy consumption of building in case of both insulated and uninsulated roofs. However, the impact is higher for uninsulated roofs (U-Value of 3.933 W/m2K), being 4.18% as compared to 0.59% for insulated roofs (U-Value of 0.33 W/m2K).While the general assumption is that roof insulation helps in reducing the energy consumption in tropical buildings, it is observed to be the other way when insulation is provided with roof shading. It is due to restricted heat loss during night.


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