The Spatiotemporal Evolution of U.S. Carbon Dioxide Emissions: Stylized Facts and Implications for Climate Policy

Baldwin, Jane; Wing, Ian Sue

doi:10.1111/jors.12028

Cited by 21 publications

(12 citation statements)

References 52 publications

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“…The starting point for our analysis is the Kaya identity, which expresses carbon emissions as the product of three factors [45], namely, economy, energy, and population [46]. The change in carbon emissions can be expressed as the integration effect of income, technology, and population, which could be further decomposed into effects caused by the gross domestic product (GDP), and an intensity effect caused by energy intensity and population size [30,47].…”

Section: Decomposition Model Of Effect On Carbon Emissionsmentioning

confidence: 99%

Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011

Deng

Liu

2015

Energies

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Construction land expansion significantly affects energy-related carbon emissions. This paper analyzed the effect of construction land expansion on energy-related carbon emissions in China and its provinces from 2001 to 2011 by using the logarithmic mean Divisia index method. We divided the study into two intervals (2001-2006 and 2006-2011) and categorized the 30 provinces of China into eight zones. Results indicated that construction land expansion exerted the second largest positive effect on carbon emission growth in China and in the 30 provinces from 2001 to 2011. The north, east, and south coastal regions as well as the middle Yellow River region, were the highly affected regions in the same period. Between the two study intervals, the effect of construction land expansion on carbon emissions decreased in China and in the coastal regions, but increased in inland regions. The Hebei, Shandong, Jiangsu, Zhejiang, Fujian, Guangdong, Yunnan, Chongqing, Ningxia, and Xinjiang provinces, which are concentrated in the north, east, and south coastal regions, were selected for the reduction of carbon emissions by controlling construction land expansion.

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Section: Decomposition Model Of Effect On Carbon Emissionsmentioning

confidence: 99%

Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011

Deng

Liu

2015

Energies

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“…Several analytic methods have been used in recent researches, such as LMDI (Logarithmic Mean Divisia Index) [15,18,19], VAR (Vector Autoregression) [17], DEA (Data Envelopment Analysis) [5] and STIRPAT Model (Stochastic Impacts by Regression on Population, Affluence and Technology) [20]. Generally, decomposition analysis is one of the most effective and widely applied tools for investigating the mechanisms influencing energy consumption and its environmental side effects.…”

Section: Introductionmentioning

confidence: 99%

Decomposition Analysis in Decoupling Transport Output from Carbon Emissions in Guangdong Province, China

2016

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Abstract:With a continuously growing share of the world's overall energy consumption, the transport sector has been acknowledged as one of the most important contributors to global carbon emissions. This paper applies a complete decomposition and decoupling analysis to investigate and quantitatively analyze the main factors influencing the energy-related carbon emissions of the transport (TCE) sector during 1995-2012 in Guangdong, the richest and most populated province in China. Results showed that decoupling level between transport output and TCE was relatively low, especially when compared with year 1995, in which case it remained as expansive coupling. Optimization of tertiary industry structure was the main factor inhibiting TCE increase. However the rapid growth of GDP per capita and population was more powerful at boosting TCE, resulting in elasticity index rising directly. 2005 was a turning point when environmental friendly policies took action, after which decoupling state improved significantly, achieving weak decoupling when comparing adjacent years. By studying TCE and its components, we found that the National 5-Year Plan policy impacts TCE tremendously, which leads to a 5-year periodic pattern of fluctuations. This highlights policy as potentially the most important factor behind Guangdong's decoupling effort, dwarfing the impact from energy and other inner-drivers.

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“…The principle purpose of this decomposition analysis is to analyze the 12 causal factors behind the changes in CO2 emissions in all of the energy end-use sectors from 1995-2012. However, the results of an LMDI application may also provide the basis for forecasting or scenario analysis of future evolution [30][31][32].…”

Section: The Logarithmic Mean Divisia Index (Lmdi) Decomposition Modelmentioning

confidence: 99%

Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

et al. 2015

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Abstract:Tianjin is the largest coastal city in northern China with rapid economic development and urbanization. Energy-related CO2 emissions from Tianjin's production and household sectors during 1995-2012 were calculated according to the default carbon-emission coefficients provided by the Intergovernmental Panel on Climate Change. We decomposed the changes in CO2 emissions resulting from 12 causal factors based on the method of Logarithmic Mean Divisia Index. The examined factors were divided into four types of effects: energy intensity effect, structure effect, activity intensity effect, scale effect and the various influencing factors imposed differential impacts on CO2 emissions. The decomposition outcomes indicate that per capita GDP and population scale are the dominant positive driving factors behind the growth in CO2 emissions for all sectors, while the energy intensity of the production sector is the main contributor to dampen the CO2 emissions increment, and the contributions from industry structure and energy structure need further enhancement. The analysis results reveal the reasons for CO2 emission changes in Tianjin and provide a solid basis upon which policy makers may propose emission reduction measures and approaches for the implementation of sustainable development strategies.

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The Spatiotemporal Evolution of U.S. Carbon Dioxide Emissions: Stylized Facts and Implications for Climate Policy

Cited by 21 publications

References 52 publications

Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011

Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011

Decomposition Analysis in Decoupling Transport Output from Carbon Emissions in Guangdong Province, China

Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

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