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A Comparative Study On Chinese Provincial Carbon Emissions

Posted on:2016-01-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y M OuFull Text:PDF
GTID:1221330467496670Subject:Quantitative Economics
Abstract/Summary:PDF Full Text Request
As the largest developing country with the world’s second largest energy consumer and the first major carbon dioxide emissions, China’s energy consumption and carbon dioxide emissions has become one of the hot issues of international concern. Chinese has promised that by2020carbon dioxide emissions per unit of GDP lower than in200540%-45%, Achieving national emission control targets depends largely on how the rational allocation of local emission quotas.Based on this, the paper analyzes the national and provincial carbon emission status, the carbon emissions factors and carbon emissions quota allocations and other issues.First of all, this article did not analyze the present situation of provincial carbon emissions from the total angle like other studies, but in the basic accounting of national and provincial carbon emissions on, analysis on current situation of provincial emission from crosswise and longitudinal two dimensions were the per capita carbon emissions, carbon emissions per unit area, unit of the social total output carbon emission angle, and to respond to the concerns of the community about the relationship between carbon emissions and health by discussing the impact of carbon emissions on urban residents in health care spending.Secondly, This paper takes the scatter plot reveals the relationship between carbon emission and economic growth, but other studies assume that EKC exists, and through the introduction of various explanatory variables to construct different forms, and then choose different methods to estimate the parameters, based on the estimation results to determine whether EKC was established, the inflection point position. Scatterplot analysis showed that along with the economic growth currently only Beijing and Shanghai appeared carbon emissions peak, EKC does not apply to provincial and national levels of carbon emissions analysis.Again, based on the addition LMDI decomposition method, the paper will decompose provincial per capita carbon dioxide emissions are the total output of adult society, energy efficiency and energy intensity of structural carbon intensity of the three factors, found that the Per capita output driving force is biggest, is the main cause of the increase in carbon emissions, the drive strength both the efficiency of energy intensity and the carbon intensity of energy structure is weak, and the direction of the provinces of the role is not consistent. Based on the Multiplicative form of LMDI method to decompose the provincial carbon emissions from fossil fuel industries index into carbon emission factor index, index of energy structure, energy intensity index, the index of industrial scale. The results show that the increase in industrial scale is the main factor to promote the increase of carbon emissions, energy structure and industrial structure on carbon emissions currently does not have a positive effect, Energy structure and industrial structure optimization is the low energy carbon reduction and economic transformation and upgrading of the only way for China.Then, the STIRPAT model is extended to the spatial panel forms, divided into spatial lag and spatial error forms, include pool model、space fixed、time fixed and fixed time and space, and the introduction of is quality index. To overcome the interpretation of quantitative index and qualitative index variables coexist, ignore the space and time of heterogeneity, to paraphrase EKC defects in the current literature. The results confirm the existence of provincial carbon emissions significant spatial clusters effect, explains the necessity of implementing the regional joint prevention and control of atmospheric pollution governance from the perspective of Statistics, Current output, foreign trade, energy intensity, energy mix and other indicators to promote increased carbon emissions per capita.Finally, this paper through the construction of the Lorenz curve to calculate the carbon Gini coefficient method, dynamic measurement the provincial carbon emissions fairness from the annual per capita emissions, emissions of the unit, the total social output per unit area emissions, overcoming the current study only domestic per capita cumulative emissions estimates resulting from the perspective of a single static and defects. This article is also based on the carbon-scale transfer index and carbon intensity transfer index analyzes the provincial carbon emissions movements. Based on analyzing the equity and the transfer of carbon emissions, this paper gives the provincial emission quota distribution coefficient,based on the principle of hereditary single year, multi-year hereditary principle, GDP principle, GDP emission intensity principle, the principle of per capita emissions, the administrative principles of land area.
Keywords/Search Tags:Factor Decomposition, Emission Density, Emission Intensity, ClusterEffect, Ecosystem Carrying Capacity, Spatial Panel, Carbon Transfer, Carbon Equity
PDF Full Text Request
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