Carbon Emission Performance Research Based on the “Full Carbon Emission”

2014 ◽  
Vol 1010-1012 ◽  
pp. 1889-1893
Author(s):  
Xue Hua Zhang ◽  
Xiang Li
Keyword(s):  
Carbon Emission ◽  
Efficiency Evaluation ◽  
Carbon Consumption ◽  
Emission Performance ◽  
Carbon Efficiency ◽  
Economic Output ◽  
Comprehensive Performance ◽  
The Relationship ◽  
Performance Research ◽  
Potential Carbon

The full carbon emission is calculated by using the solar emergy as a dimension normalizing tool in this paper. Its accounts include energy consumption carbon emission, potential carbon consumption of biomass resource consumption, and potential carbon consumption of waste emission. Based on it, population carrying capacity of unit carbon emission and economic output of unit carbon emission are taken into comprehensive account to establish the carbon emission performance comprehensive indexes. Taking China’s 30 provinces as examples, the assessment results show that the Nationwide should coordinate the relationship among economic, population and carbon emission. Compared with the traditional carbon efficiency evaluation, the carbon comprehensive performance evaluation based on “full carbon emission calculation” can fairly and objectively reflect the effects from modes of both life and production on carbon emission.

scholarly journals Factors Affecting Energy-Related Carbon Emissions in Beijing-Tianjin-Hebei Region

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing-min Wang ◽  
Yu-fang Shi ◽  
Xue Zhao ◽  
Xue-ting Zhang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Structure ◽  
Factors Affecting ◽  
Economic Output ◽  
Level Model ◽  
The Impact ◽  
The Relationship

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.

Heterogeneous green innovations and carbon emission performance: Evidence at China's city level

2021 ◽  
pp. 105269
Author(s):  
Le Xu ◽  
Meiting Fan ◽  
Lili Yang ◽  
Shuai Shao
Keyword(s):  
Carbon Emission ◽  
Emission Performance

scholarly journals A Bootstrap Method to Test Granger-Causality in the Frequency Domain

2021 ◽  
Author(s):  
Matteo Farnè ◽  
Angela Montanari
Keyword(s):  
Stochastic Process ◽  
Frequency Domain ◽  
Granger Causality ◽  
Bootstrap Method ◽  
Money Stock ◽  
Bootstrap Test ◽  
Low Frequencies ◽  
Economic Output ◽  
Stationary Bootstrap ◽  
The Relationship

AbstractWe propose a bootstrap test for unconditional and conditional Granger-causality spectra in the frequency domain. Our test aims to detect if the causality at a particular frequency is systematically different from zero. In particular, we consider a stochastic process derived applying independently the stationary bootstrap to the original series. At each frequency, we test the sample causality against the distribution of the median causality across frequencies estimated for that process. Via our procedure, we infer about the relationship between money stock and GDP in the Euro Area during the period 1999–2017. We point out that the money stock aggregate M1 had a significant impact on economic output at all frequencies, while the opposite relationship is significant only at low frequencies.

The Theoretical and Empirical Research on Pricing of China's Carbon Emission Permits

2012 ◽  
Vol 524-527 ◽  
pp. 2474-2481
Author(s):  
Zhi Gang Huang ◽  
Jiao Ling Xie ◽  
Wen Ping Wu
Keyword(s):  
Option Pricing ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Supply And Demand ◽  
Practical Significance ◽  
Emission Permits ◽  
Transaction Data ◽  
Carbon Finance ◽  
Relationship Of ◽  
The Relationship

Carbon emissions permits has its own particularity,and with the development of carbon finance,carbon emissions permits possess the commodity attributes and financial attributes.So its price isn’t determined only by the relationship of commodity supply and demand,but also affected by a variety of factors.But because the transaction data is not available,so the pricing of the carbon emissions permits can not really consider from the angle of the influencing factors of price.Therefore, this paper is on the basis of previous studies using mathematical tools and introducing the option pricing mechanism to study th pricing of China's carbon emissions permits basing on carbon emissions,which is designed for providing reference on the pricing of China's carbon emissions,being of both theoretical and practical significance.

Carbon emission performance in logistics in the Yellow River basin

2021 ◽  
Vol 220 ◽  
pp. 14-21
Author(s):  
Zhao-Xian Su ◽  
Guo-Xing Zhang ◽  
Long Xu ◽  
Gong-Han Geng ◽  
Yi-Cun Wang ◽  
...  
Keyword(s):  
River Basin ◽  
Carbon Emission ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Emission Performance ◽  
The Yellow River Basin

Managers' and auditors' narcissism on the management team's stability and relative corporate performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Safoura Rouhi ◽  
Mohana Usefi Moghadam ◽  
Faezeh Faramarzi
Keyword(s):  
Significant Relationship ◽  
Fixed Effects ◽  
Corporate Performance ◽  
Stock Exchange ◽  
Relative Performance ◽  
Psychological Characteristics ◽  
Content Type ◽  
The Impact ◽  
The Relationship ◽  
Performance Research

PurposeSuccess in corporate relative performance is one of the factors for the growth and durability of firms. Since the relative performance is a function of managers' decisions and such decisions are under the influence of behavioral and psychological characteristics, this paper aims to assess the managers’ and auditors’ narcissism's effect on the management team's stability relative to corporate performance.Design/methodology/approachThis paper has used the signature magnitude for examining narcissism and the regression model of Jenter and Kanaan (2015) for assessing relative corporate performance. The logistic regression is used to test the model of the management team's stability, and the multivariate regression is used to test the model of relative corporate performance. Research hypotheses were also examined using a sample of 768 listed year-companies on the Tehran Stock Exchange during 2012–2017 and by employing a panel data approach and fixed effects method.FindingsThe obtained results show a negative and significant relationship between managers' and auditors' narcissism and the management team's stability. The relationship between the narcissism of managers and auditors and relative corporate performance is positive and significant. Moreover, managers' narcissism positively and significantly impacts the relationship between auditors' narcissism and team management stability. A negative and significant relationship is evident between auditors’ narcissism and relative corporate performance.Originality/valueThis study's results can identify the effect of psychological components such as narcissism on people's performance by directing and influencing their decisions. Many studies have been conducted on narcissism, but none of them have examined the impact auditors’ and managers' narcissism has on the management team's stability and the corporate relative performance. Therefore, considering the importance of success in the corporate relative performance and benefits of the management team's stability, this study's results can reveal the importance of such features in accounting research. Also, the results of this research can make it important to know more about financial behavioral theory.

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