Font Size: a A A

Carbon Emissions Analysis Of China’s Steel Industry Based On Low Carbon Perspective

Posted on:2015-07-12Degree:MasterType:Thesis
Country:ChinaCandidate:W HuangFull Text:PDF
GTID:2309330461474743Subject:Statistics
Abstract/Summary:PDF Full Text Request
In recent years, the development of which carbon dioxide emissions of the steel industry showed a large amount of fast growth, structural characteristics of the poor is second only to the power industry and petrochemical industry, the third largest emitter of carbon dioxide industry. After decades of rapid development, the steel industry has made a significant contributio to China’s economic development, but at the same time, we should see the development as the environment is on the agenda, for the protection of the environment is increasingly being put on the agenda, the concept of Low-carbon economy has been widely accepted, governments pay more attention to the quality of the current GDP development, in recent years, the Chinese government advocated green GDP. the steel industry as resource consumption, emissions of heavy industry, in the production process a large amount of waste gas emissions, as global warming, countries have been calling to reduce greenhouse gas emissions under the premise of the steel industry to China reduction in the development process of the next bear a greater emission reduction obligations.The first part of this article for a global carbon emissions situation faced by the current review and made a preliminary presentation, and then introduce China’s steel industry and the globall industry, noting that China’s steel industry in the current situation facing new issues, again combining research results at home and abroad for low-carbon steel industry conducted a preliminary analysis.The third part introduces the gray prediction model to forecast for the overall development of China’s GDP, the logic is that the overall economic development of the steel industry in the development process of their needs are closely related, while the corresponding estimates of gray correlation degree, by targeting GDP the value of the simulation predicts GDP to observing this development model, the analog value to 2015. Meanwhile, the relationship between GDP and steel production will both be linked. Analysis of the degree of association with China’s steel industry, which estimates the trend. And the use of third-order auto-regressive cycle analysis, monthly crude steel production for the analysis, estimates the production of steel cycle.The fourth part, the method of logarithmic mean Di type decomposition method (LMDI), using 1996-2012 data of China’s iron and steel industry, the main products (electricity, steam coal, coking coal) which is calculated carbon dioxide emissions, strength, structure, changes in the situation, representing the total amount of carbon dioxide emissions in the country’s position, then analyze the energy structure, energy efficiency, emissions intensity, scale factors on the basis of carbon dioxide emissions affect China’s steel industry on the use of the logarithmic mean of Di’s decomposition analysis 1996-2013 various factors in stage for the Chinese steel industry’s carbon dioxide emissions impact. Simultaneous analysis of the performance of various stages of carbon dioxide emissions, the various stages of the reasons for the discharge were further analyzed.The fifth part, put forward policy recommendations relative, technically, as well as industry chain model proposed policy on personal views, noting the Chinese government has an irreplaceable role in guiding carbon emissions in the steel industry.
Keywords/Search Tags:Carbon emission Iron and steel industry Gray forecast Cycle Analysis Decomposition analysis LMDI
PDF Full Text Request
Related items