Per capita CO2 emissions by sector (Edition 2018)

Keyword(s):  
2011 ◽  
Vol 33 (3) ◽  
pp. 637-665 ◽  
Author(s):  
C. Ordás Criado ◽  
J.-M. Grether
Keyword(s):  

2017 ◽  
Vol 9 (7) ◽  
pp. 228 ◽  
Author(s):  
Ting Liu ◽  
Wenqing Pan

This paper combines Theil index method with factor decomposition technique to analyze China eight regions’ inequality of CO2 emissions per capita, and discuss energy structure, energy intensity, industrial structure, and per capita output’s impacts on inequality. This research shows that: (1) The trend of China regional carbon inequality is in the opposite direction to the per capita CO2 emission level. Namely, as the per capita CO2 emission levels rise, regional carbon inequality decreases, and vice versa. (2) Per capita output factor reduces regional carbon inequality, whereas energy structure factor and energy intensity factor increase the inequality. (3) More developed areas can reduce the carbon inequality by improving the energy structure, whereas the divergence of energy intensity in less developed areas has increased to expand the carbon inequity. Thus, when designing CO2 emission reduction targets, policy makers should consider regional differences in economic development level and energy efficiency, and refer to the main influencing factors. At the same time, upgrading industrial structure and upgrading energy technologies should be combined to meet the targets of economic growth and CO2 emission reduction.


2016 ◽  
Vol 2 (3) ◽  
pp. 37-53
Author(s):  
Yves Rocha De Salles Lima ◽  
Tatiane Stellet Machado ◽  
Joao Jose de Assis Rangel

The objetive of this work is to analyze the variation of CO2 emissions and GDP per capita throughout the years and identify the possible interaction between them. For this purpose, data from the International Energy Agency was collected on two countries, Brazil and the one with the highest GDP worldwide, the United States. Thus, the results showed that CO2 emissions have been following the country’s economic growth for many years. However, these two indicators have started to decouple in the US in 2007 while in Brazil the same happened in 2011. Furthermore, projections for CO2 emissions are made until 2040, considering 6 probable scenarios. These projections showed that even if the oil price decreases, the emissions will not be significantly affected as long as the economic growth does not decelerate.


2008 ◽  
Vol 8 (2) ◽  
pp. 7373-7389 ◽  
Author(s):  
A. Stohl

Abstract. Most atmospheric scientists agree that greenhouse gas emissions have already caused significant changes to the global climate system and that these changes will accelerate in the near future. At the same time, atmospheric scientists who – like other scientists – rely on international collaboration and information exchange travel a lot and, thereby, cause substantial emissions of carbon dioxide (CO2). In this paper, the CO2 emissions of the employees working at an atmospheric research institute (the Norwegian Institute for Air Research, NILU) caused by all types of business travel (conference visits, workshops, field campaigns, instrument maintainance, etc.) were calculated for the years 2005–2007. It is estimated that more than 90% of the emissions were caused by air travel, 3% by ground travel and 5% by hotel usage. The travel-related annual emissions were between 1.9 and 2.4 t CO2 per employee or between 3.9 and 5.5 t CO2 per scientist. For comparison, the total annual per capita CO2 emissions are 4.5 t worldwide, 1.2 t for India, 3.8 t for China, 5.9 t for Sweden and 19.1 t for Norway. The travel-related CO2 emissions of a NILU scientist, occurring in 24 days of a year on average, exceed the global average annual per capita emission. Norway's per-capita CO2 emissions are among the highest in the world, mostly because of the emissions from the oil industry. If the emissions per NILU scientist derived in this paper are taken as representative for the average Norwegian researcher, travel by Norwegian scientists would nevertheless account for a substantial 0.2% of Norway's total CO2 emissions. Since most of the travel-related emissions are due to air travel, water vapor emissions, ozone production and contrail formation further increase the relative importance of NILU's travel in terms of radiative forcing.


Author(s):  
Furkan Yıldız

The goal of this study is to investigate the potential effects of international trade on per-capita CO2 emissions among trade partners. To achieve this purpose, the Group of Seven (G7) countries and each of their developing trade-partner countries with the highest trade volume have been selected as the sample. The stochastic convergence methodology has been employed using Augmented Dickey Fuller (ADF), Phillips-Perron (PP), and Enders-Lee Fourier unit root tests in order to test for convergence or divergence. Various results have been obtained from the unit root tests. These results suggest international trade to have no general or common effects on per capita CO2 emissions.


2020 ◽  
Vol 90 ◽  
pp. 104868
Author(s):  
Sefa Awaworyi Churchill ◽  
John Inekwe ◽  
Kris Ivanovski ◽  
Russell Smyth

2019 ◽  
Vol 11 (3) ◽  
pp. 744
Author(s):  
Chien-Ho Wang ◽  
Ming-Hui Ko ◽  
Wan-Jiun Chen

The current study illustrated the time variance of turning points in the relationship between carbon emissions and income to resolve heated debate on the different responsibility to climate change with 1950–2010 data of five development diversity countries—three developed countries (Germany, Italy, and Japan) and one developing country (India) and one newly industrialized economy (Taiwan). The article also examines the impact of the crisis on emission. The time-varying patterns in the turning points on environmental Kuznets curves (EKCs) were observed by a rolling regression technique with 1950–2010 data regarding the per capita CO2 emissions caused by fossil fuel combustion and the incomes of the countries. Several empirical findings were revealed from this analysis. Per capita CO2 emissions commonly decreased with varying magnitudes in the five countries over time. The EKC hypothesis regarding the CO2 emissions is affirmed again in this study. The announcement effects associated with the Kyoto Protocol was evidenced. As indicated by the occurring GDP of the turning point, there is a strong reduction trend in the income level of the turning points right before the years of Kyoto Protocol; and this decreasing trend nearly ended as the Kyoto protocol approached its end, except in Germany, where the occurring income of the turning points continued to have a decreasing trend. Although the global financial crisis had its effects in the world, the impacts on carbon dioxide emissions vary across countries.


2019 ◽  
Vol 11 (15) ◽  
pp. 4254 ◽  
Author(s):  
Munodawafa ◽  
Johl

Increased greenhouse gas (GHG) emissions in the past decades have created concerns about the environment. To stymie global warming and the deterioration of the natural environment, global CO2 emissions need to reach approximately 1.3 tons per capita by 2050. However, in Malaysia, CO2 output per capita—driven by fossil fuel consumption and energy production—is expected to reach approximately 12.1 tons by the year 2020. GHG mitigation strategies are needed to address these challenges. Cleaner production, through eco-innovation, has the potential to arrest CO2 emissions and buttress sustainable development. However, the cleaner production process has been hampered by lack of complete data to support decision making. Therefore, using the resource-based view, a preliminary study consisting of energy and utility firms is undertaken to understand the impact of big data analytics towards eco-innovation. Linear regression through SPSS Version 24 reveals that big data analytics could become a strong predictor of eco-innovation. This paper concludes that information and data are key inputs, and big data technology provides firms the opportunity to obtain information, which could influence its production process—and possibly help arrest increasing CO2 emissions.


2018 ◽  
Vol 11 (1) ◽  
pp. 13 ◽  
Author(s):  
Haider Mahmood ◽  
Maham Furqan ◽  
Omar Bagais

This paper aspires to examine the environmental effects of financial market development (FMD), foreign direct investment (FDI), and trade openness on the CO2 emissions per capita along with the environmental Kuznets curve (EKC) hypothesis in six East Asian countries from 1991–2014. For this purpose, spatial econometrics is applied to consider the spillover effects from neighboring countries. The results of the study corroborate the spillover effects from neighboring countries’ CO2 emissions per capita, FMD, FDI, and trade openness, and the EKC hypothesis is proven true in this region. Local FDI inflows, trade openness, and energy intensity are found to be responsible for local environmental degradation. Local FMD has an insignificant environmental effect, but neighboring countries’ FMD has contributed to the local CO2 emissions per capita. Further, positive (negative) environmental spillover effects are found from neighboring countries’ FDI (trade openness).


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