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Analysis On The Influence Factors Of Carbon Emission In Shanghai

Posted on:2019-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:H QianFull Text:PDF
GTID:2371330548957523Subject:Environmental engineering
Abstract/Summary:PDF Full Text Request
In recent years,the greenhouse effect caused by carbon dioxide-based greenhouse gases has gradually threatened the survival of human beings.Human activities are the main source of carbon dioxide emissions.After the reform and opening up,China's economy has achieved rapid development,and it has now become the second largest economy in the world.However,along with economic development,environmental problems caused by it have followed.The use of large amounts of fossil energy,excessive consumption of land resources is the main reason for the increase in carbon dioxide emissions.Therefore,studying the factors that cause changes in carbon emissions and achieving low-carbon effects are the top priorities in the current environmental issues.Shanghai is one of the most developed cities in the world,with typical representation.This article selects Shanghai as the research object,calculates and analyzes the carbon emissions of Shanghai from 2004 to 2015,and uses related analytical models to explore the factors affecting the carbon emission changes in Shanghai.First,using Shanghai's2004-2015 time series,the total carbon emissions of each year were calculated and analyzed using the carbon emission coefficient method.Second,from the perspective of population,the population scale factor was incorporated into the STIRPAT model to study the population structure.The impact of changes on carbon emissions.The structure shows that changes in population structure can fully cause changes in carbon emissions,among which young people aged 0-18 and 19-34 have no significant effect on carbon emissions changes;34-59 year-old middle-aged people with strong spending power The population is the main cause of positive changes in carbon emissions;while the growth of older people over the age of 60 has a certain inhibitory effect on carbon emissions.Again,from the perspective of energy intensity,we combined the KAYA model with the marginal model to build a model of marginal carbon emissions.The results show that energy intensity and energy structure factors are the key to inhibiting carbon emissions.Population growth and economic growth are the main causes.The main factors of carbon emissions increase;the rate of change of marginal carbon emissions presents an irregular phenomenon,the limit of the impact of energy intensity on carbon emissions does not exist,and the relationship between energy intensity factors and carbon emissions presents three negative correlations.Finally,from the perspective of economic analysis of carbon intensity fluctuations,using the LMDIdecomposition model,calculate the chain growth index of each factor affecting carbon emissions changes,and build a decoupled model of carbon emissions and GDP growth.The results show that energy intensity is the most important factor in reducing carbon intensity,and changes in the economic development model are the causes of fluctuations in carbon intensity.
Keywords/Search Tags:Carbon emissions, Population structure, Energy intensity, KAYA model, LMDI decomposition model
PDF Full Text Request
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