Analysis on Determining Factors of Regional Construction Land Carbon Emissions

2014 ◽  
Vol 587-589 ◽  
pp. 3-6
Author(s):  
Na Lu ◽  
Yong Sun
Keyword(s):  
Energy Efficiency ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Guizhou Province ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Local Conditions ◽  
Intensity Effect ◽  
Construction Land ◽  
Industrial Carbon

It's important to discuss how to reduce construction land carbon emissions which is helpful for realizing low-carbon and efficient utilization of land. First, this paper chose three representative regions on construction land carbon intensity, namely Beijing, Hubei province and Guizhou province; second, based on LMDI method, it analyzed the contribution of different industrial carbon intensity effect and industrial structure effect to construction land carbon intensity in different regions between 2002 and 2008, the results show proposing the second industrials energy efficiency (65.11%) was crucial for Beijing, different industries's energy efficiency (110.5%) was important for Hubei, energy efficiency and industrial structure optimizing were crucial equally for Guizhou; finally it proposed different regions should find carbon reduction ways to local conditions.

Analysis of Industrial Carbon Emissions Assessment and Spatial Distribution

2014 ◽  
Vol 1073-1076 ◽  
pp. 2745-2750
Author(s):  
Xiao Fen Li ◽  
Rui Peng ◽  
Min Xing Yang
Keyword(s):  
Spatial Distribution ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Total Carbon ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Ecological Civilization ◽  
Industrial Carbon ◽  
Spatial Distribution Function ◽  
City Construction

Under the background of ecological civilization, the energy saving and emission reduction, low carbon eco-city construction is booming. At present, China industrial carbon emissions account for more than half of total carbon emissions in the whole society. The analysis of industrial carbon emissions and its spatial distribution is quite important. Consider the Park of Shenzhen international low-carbon city as the research object; based on the enterprise data from the 2011 industrial census, it combines both the top-down and bottom-up methods to evaluate its current industrial carbon emission levels and then discusses the relationship between the industrial structure and carbon emissions. Comprehensive utilization of the spatial distribution function of GIS, the spatial distribution characteristics of industrial carbon emissions and carbon intensity is evaluated, so as to provide the references for the related policy-making of low-carbon ecological city.

Analysis of Energy Consumption Carbon Emissions in Hunan Province Based on Industrial Structure

2014 ◽  
Vol 694 ◽  
pp. 528-531
Author(s):  
Jin Gui Yue ◽  
Yuan Jun Yu ◽  
Lin Wu
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Construction Technology ◽  
Dominant Position ◽  
Industrial Carbon ◽  
Emissions Factor ◽  
Technology Control

Hunan province energy consumption carbon emissions based on the industrial structure was analyzed with carbon emissions factor method in 2000-2012. Results show that Hunan province’s carbon emissions have a rapid growth in 2000-2012. Since 2007 the growth of carbon intensity is slowly, and there is an emergence of signs of decline. Recently the correlation between the growth of GDP and carbon emissions in Hunan Province becomes weakening, but carbon intensity is still higher. Industry occupies a dominant position in the energy consumption carbon emissions. Since 2007 the proportion of industrial carbon emissions is decreased form 79.41% to 72.30% in 2012, there is an obvious decline. Recently, the growth rate of industrial carbon emissions is relative lower. The growth of carbon emissions from the construction industry and the tertiary industry is the most obvious. Relevant policies should be formulated as soon as possible, to promote the level of construction technology, control energy consumption and carbon emissions per unit of output.

scholarly journals Exploring the Effects of Industrial Structure, Technology, and Energy Efficiency on China’s Carbon Intensity and Their Contributions to Carbon Intensity Target

2020 ◽  
Vol 12 (19) ◽  
pp. 8016
Author(s):  
Feng Wang ◽  
Min Wu ◽  
Jiachen Hong
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Historical Development ◽  
Industrial Development ◽  
Industrial Structure ◽  
Electricity Production ◽  
Mitigation Measures ◽  
Carbon Intensity ◽  
Intermediate Input ◽  
Residential Energy

To achieve the national carbon intensity (NCI) target, China should adopt effective mitigation measures. This paper aims to examine the effects of key mitigation measures on NCI. Using the input-output table in 2017, this paper establishes the elasticity model of NCI to investigate the effects of industrial development, intermediate input coefficients, energy efficiency, and residential energy saving on NCI, and further evaluates the contributions of key measures on achieving NCI target. The results are shown as follows. First, the development of seven sectors will promote the increase of NCI while that of 21 sectors will reduce NCI. Second, NCI will decrease significantly with the descending of intermediate input coefficients of sectors, especially electricity production and supply. Third, improving energy efficiency and residential energy saving degree could reduce NCI, but the latter has limited contribution. Fourth, the development of all sectors will reduce NCI by 10.11% in 2017–2022 if sectors could continue the historical development trends. Fifth, assuming that sectors with rising intermediate input coefficients would keep their coefficients unchanged in the predicting period and sectors with descending coefficients would continue the historical descending trend, the improvement of technology and management of all sectors will reduce NCI by 14.02% in 2017–2022.

Carbon Emission of Mining Industry’s Energy Consumption in Heilongjiang Province

2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Mining Industry ◽  
Calculation Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heilongjiang Province ◽  
Low Carbon

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.

Analysis of Hubei Province Industry’s Carbon Emissions Based on the LMDI

2014 ◽  
Vol 675-677 ◽  
pp. 1865-1868 ◽  
Author(s):  
Han Li ◽  
Lin Wu
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Hubei Province ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Logarithmic Mean ◽  
Coal Consumption ◽  
Industrial Carbon ◽  
Industrial Energy ◽  
Industrial Energy Consumption

LMDI (Logarithmic Mean Divisia Index) was used to estimates the carbon emission of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. The results showed that carbon emissions of industrial energy consumption present the overall upward trend in Hubei Province, where the carbon emissions of coal consumption are the main factors, this shows that the industry of Hubei is extensive development withhigh energy consumption. In addition, industrial carbon intensity has a fluctuated downward trend in 2011-2012; this shows that Hubei province has made ​​a positive change on control carbon emissions of energy consumption.

scholarly journals Enterprise Low-Carbon Behavior, Financial Performance and Economic Transformation——Data from Listed Companies in China

2021 ◽  
Vol 275 ◽  
pp. 02004
Author(s):  
Hongmei Sun ◽  
Shuqi Yao ◽  
Mucun Zhai
Keyword(s):  
Financial Performance ◽  
Industrial Structure ◽  
Listed Companies ◽  
Economic Transformation ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Positive Relationships ◽  
Chinese Listed Companies ◽  
Low Carbon Development ◽  
Optimization And Upgrading

The low-carbon development of enterprises is an important breakthrough in Chinese economic transformation and the optimization and upgrading of the industrial structure. Based on a sample of Chinese listed companies involved in the low-carbon industry from 2010 to 2018, this paper empirically analyzes the correlation between the low carbon behavior, economic transformation and financial performance of listed companies. The results show that a company’s carbon intensity and financial performance are negatively related, and this relation is more significant when the financial performance is measured using the ROA (return on asset) of listed companies. The level of economic transformation in places where enterprises are located can significantly strengthen the positive relationship between enterprise low-carbon behavior and financial performance, including in central and western areas, where positive relationships are strengthened, and areas with heavy polluting industries, where positive relationships are weakened. Therefore, it is necessary to strengthen carbon emission supervision for non-heavy polluting industries and enterprises in the central and western regions.

scholarly journals The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis

2020 ◽  
Vol 12 (4) ◽  
pp. 1428 ◽  
Author(s):  
Na Lu ◽  
Shuyi Feng ◽  
Ziming Liu ◽  
Weidong Wang ◽  
Hualiang Lu ◽  
...  
Keyword(s):  
Construction Industry ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Spillover Effects ◽  
Energy Structure ◽  
Chinese Government ◽  
Low Carbon ◽  
Industry Agglomeration ◽  
Technology Innovations ◽  
Growth Energy

As the largest carbon emitter in the world, China is confronted with great challenges of mitigating carbon emissions, especially from its construction industry. Yet, the understanding of carbon emissions in the construction industry remains limited. As one of the first few attempts, this paper contributes to the literature by identifying the determinants of carbon emissions in the Chinese construction industry from the perspective of spatial spillover effects. A panel dataset of 30 provinces or municipalities from 2005 to 2015 was used for the analysis. We found that there is a significant and positive spatial autocorrelation of carbon emissions. The local Moran’s I showed local agglomeration characteristics of H-H (high-high) and L-L (low-low). The indicators of population density, economic growth, energy structure, and industrial structure had either direct or indirect effects on carbon emissions. In particular, we found that low-carbon technology innovation significantly reduces carbon emissions, both in local and neighboring regions. We also found that the industry agglomeration significantly increases carbon emissions in the local regions. Our results imply that the Chinese government can reduce carbon emissions by encouraging low-carbon technology innovations. Meanwhile, our results also highlight the negative environmental impacts of the current policies to promote industry agglomeration.

An Analysis on Carbon Emissions and Energy Efficiency of Small Heavy Industrial Enterprises in Shanghai

2013 ◽  
Vol 869-870 ◽  
pp. 997-1000
Author(s):  
Jing Jing Zhang ◽  
Jian Cheng Kang ◽  
Hao Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Correlation Coefficients ◽  
Carbon Intensity ◽  
Small Enterprises ◽  
Growth Trend ◽  
Positive Correlation ◽  
Industrial Enterprises

Based on the energy consumption and the output value data of the 6 small heavy industrial enterprises during 2007-2011 in Shanghai, we calculated comprehensive energy consumption, carbon emissions, carbon intensity and energy intensity of these enterprises. It been found that the comprehensive energy consumption and the carbon emissions of the 6 small enterprises are in a fluctuating growth trend but the energy intensity and the carbon intensity show a trend of fluctuating downward. The energy intensity and the carbon intensity of the small enterprises are much larger than the average of the two whole industries in Shanghai. We analyzed the correlation coefficients between the output value and the energy consumption as well as between the output value and the carbon emissions. The results show that the comprehensive energy consumption and the carbon emissions have positive correlation as well as the carbon emissions and the output value.

Research on Industrial Restructuring — Based on Low-Carbon Economy Perspective

2011 ◽  
Vol 368-373 ◽  
pp. 1551-1554 ◽  
Author(s):  
Shu Ru Liu ◽  
Hai Juan Li
Keyword(s):  
Carbon Emissions ◽  
Industrial Structure ◽  
Research Field ◽  
Industrial Restructuring ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Economy

Low-carbon economy has become a hot research field in all walks of life currently. As a way to achieve low-carbon economy, industrial restructuring has been widely studied. In order to promote research in the field, and lead to the development of China's low-carbon economy, this article will give us a summary and a brief review of representative research achievements referring to industrial structure low-carbon adjustment in China's academia. They contain four aspects: intensions of industrial restructuring from the perspective of low-carbon economy, influence of industrial restructuring on carbon emissions, low-carbon industries, and strategies of industrial restructuring from the low-carbon economy aspect.

scholarly journals Towards net-zero carbon performance: using demand side management and a low carbon grid to reduce operational carbon emissions in a UK public office

2021 ◽  
Vol 2069 (1) ◽  
pp. 012150
Author(s):  
E Burman ◽  
N Jain ◽  
M de-Borja-Torrejón
Keyword(s):  
Carbon Emissions ◽  
Demand Side Management ◽  
Carbon Intensity ◽  
Grid Integration ◽  
Demand Side ◽  
Low Carbon ◽  
Electricity Grid ◽  
Integration Strategy ◽  
Carbon Performance ◽  
And Control

Abstract This paper investigates the performance of an office building that has achieved a low carbon performance in practice thanks to a performance contract and Soft Landings approach. The findings show the potential of this building for further de-carbonisation as a result of electrification of heating and load shifting to take advantage of a low carbon electricity grid. Whilst retrospective modelling based on the past carbon intensity data shows the effectiveness of demand-side management, assessment of the existing smart readiness of the building revealed that the building services and control strategy are not fully equipped with the data analytics and carbon or price signal responsiveness required to facilitate grid integration. The environmental strategy and procurement method used for this building combined with an effective grid integration strategy can serve as a prototype for low carbon design to achieve the ever stringent carbon emissions objectives set out for the non-domestic buildings.

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