Measuring the simultaneous effects of electricity consumption and production on carbon dioxide emissions (CO2e) in China: New evidence from an EKC-based assessment

Energy ◽  
2021 ◽  
pp. 120616
Author(s):  
Qingquan Jiang ◽  
Shoukat Iqbal Khattak ◽  
Zia Ur Rahman
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Electricity Consumption ◽  
New Evidence

scholarly journals ESTIMATIONS OF CARBON FOOTPRINT FROM ELECTRICITY CONSUMPTION DURING COVID-19 LOCKDOWN AND PRE-LOCKDOWN IN BUTUAN CITY

2021 ◽  
Vol XLVI-4/W6-2021 ◽  
pp. 49-56
Author(s):  
L. C. S. Asube ◽  
R. L. Sinadjan
Keyword(s):  
Carbon Dioxide ◽  
Spatial Distribution ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Electricity Consumption ◽  
Public Buildings ◽  
Industrial Sectors ◽  
Northern Areas ◽  
The Mean

Abstract. The electricity consumption for commercial, residential, and industrial sectors is considered the primary cause of increasing carbon dioxide emissions. To calculate the carbon footprint, the researcher used Carbon Footprint Ltd. This study aims to quantify the carbon footprint associated with the consumption of electricity by sectors (residential, commercial, industrial, public buildings, and streetlights) in Butuan City during the pre-lockdown period (January and February), and then compare these with the carbon footprint calculated during the lockdown period (March and April 2020). A GIS-based approach was applied to generate the spatial distribution across the 86 barangays of Butuan City. The study findings that the carbon footprint in the lockdown period is ∼ −17% lower than the mean carbon footprint calculated for the pre-lockdown period. In absolute values, the total estimated carbon footprint during the pre-lockdown and lockdown period was ∼ 10,947 mtCo2e and ∼ 9,138 mtCo2e, respectively. Furthermore, the findings imply that the central and northern areas have the highest impact of savings on average ∼ 130 mtCo2e of greenhouse gas avoided by barangays. This research provides quantitative insight to understand the measured generated in lockdown and pre-lockdown periods.

scholarly journals Contribution of air conditioning adoption to future energy use under global warming

2015 ◽  
Vol 112 (19) ◽  
pp. 5962-5967 ◽  
Author(s):  
Lucas W. Davis ◽  
Paul J. Gertler
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Air Conditioning ◽  
Energy Use ◽  
Electricity Consumption ◽  
Future Research ◽  
Low Carbon ◽  
Middle Income ◽  
Global Action

As household incomes rise around the world and global temperatures go up, the use of air conditioning is poised to increase dramatically. Air conditioning growth is expected to be particularly strong in middle-income countries, but direct empirical evidence is scarce. In this paper we use high-quality microdata from Mexico to describe the relationship between temperature, income, and air conditioning. We describe both how electricity consumption increases with temperature given current levels of air conditioning, and how climate and income drive air conditioning adoption decisions. We then combine these estimates with predicted end-of-century temperature changes to forecast future energy consumption. Under conservative assumptions about household income, our model predicts near-universal saturation of air conditioning in all warm areas within just a few decades. Temperature increases contribute to this surge in adoption, but income growth by itself explains most of the increase. What this will mean for electricity consumption and carbon dioxide emissions depends on the pace of technological change. Continued advances in energy efficiency or the development of new cooling technologies could reduce the energy consumption impacts. Similarly, growth in low-carbon electricity generation could mitigate the increases in carbon dioxide emissions. However, the paper illustrates the enormous potential impacts in this sector, highlighting the importance of future research on adaptation and underscoring the urgent need for global action on climate change.

scholarly journals The Economic Determinants of the CO2 Emission in Saudi Arabia: The role and impact: المحددات الاقتصادية لانبعاثات ثاني أكسيد الكربون في المملكة العربية السعودية "الدور والأثر"

2019 ◽  
Vol 3 (12) ◽  
Author(s):  
Amal Hassan ALmalki, Nahla Sadrudden Samargandi, Abla Abdulh
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Saudi Arabia ◽  
Foreign Direct Investment ◽  
Carbon Dioxide Emissions ◽  
Direct Investment ◽  
Trade Openness ◽  
Electricity Consumption ◽  
Economic Determinants

This study examined the impact of a number of economic determinants such as economic growth, electricity consumption, foreign direct investment, financial development, trade openness and their contribution to increase or decrease of carbon dioxide (CO2) emissions in Saudi Arabia. To explore the long-run relationships between the variables, the autoregressive distributed lag (ARDL) methodology, is employed to analyze time series data for the period 1980-2017. Results indicates that there has is a long-term positive relationship between electricity consumption, economic growth, trade openness, and carbon dioxide emissions. A long-term negative relationship is existed between both foreign direct investment and the financial development, and carbon dioxide emissions. Therefore, we see how important it is to reduce dependence on fossil fuels and switch to renewable energy in electricity production. This indicates the importance of Vision 2030 to reduce dependence on oil as a major source of income and to support economic growth by developing the non-oil sector. And the importance of raising the efficiency of funding and providing the necessary liquidity to support the industrial sectors with the imposition of strict environmental laws.        

Investigation of Carbon Footprint on Campus - A Case Study of Tajen University

2014 ◽  
Vol 962-965 ◽  
pp. 1495-1499
Author(s):  
Chung Yi Chung ◽  
Chang Ling Miaw ◽  
Yung Chuan Huang ◽  
Chao Cheng Chung ◽  
Tien Jen Lo
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Latent Variables ◽  
Carbon Dioxide Emissions ◽  
Electricity Consumption ◽  
Waste Recycling ◽  
School Year ◽  
Significant Difference ◽  
Campus Activities ◽  
And Gender

This study investigates and analysis the carbon dioxide emissions focus on student’s campus activities in the Tajen University during the school year. Survey queries includes commute distance, using means of transport, means of transport emissions, food consumption survey, the amount of waste, recycling and electricity consumption. The collected information was integrated into the carbon footprint calculation. This study investigated a total of 70 college students with 60 valid questionnaires in 85.7% recovery rate. Using descriptive statistics analysis quantitatively describing the students’ basic attributes and utilize analysis of variance to analyze the differences between students’ differences and their associated on carbon dioxide emissions. In this study, the result showed Tajen University students’ carbon footprint averaged 2.31±0.37 kg/person-day. Carbon footprint analysis results indicate that student age, grade, and gender difference between latent variables have different scenarios on carbon footprint model, such as, different genders no significant difference by measuring the carbon footprint, but of different ages and grade under test carbon footprint had a significant difference.

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