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The Relationship Between Industrial Economic Growth And Industrial Carbon Emissions: An Empirical Analysis In Wuxi City

Posted on:2013-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:X M ShenFull Text:PDF
GTID:2219330371964770Subject:International Trade
Abstract/Summary:PDF Full Text Request
As an important central city in the Yangtze River Delta region, Wuxi has been experiencing the rapid economic growth since reform and opening-up. The regional GDP is among the forefront of Jiangsu province and cities across the country year after year. Moreover, the industrial sector is the leading force to promote economic development. Since the 21st century, the annual average contribution rate of industry has been kept 50%-60% to the regional GDP. As we know, highly developed industrial economy needs to consume a large amount of energy resource. The industrial energy consumption accounts for more than 80% of the total energy consumption for Wuxi. From the year 1998-2010, the annual average growth rate of industrial energy consumption achieved 10.27%. The dependence of industrial development on energy is continuously strengthening. With the rapid growth of energy consumption, carbon emissions generated by the industrial energy consumption continue to rise. According to calculations, the total amount of carbon emissions rose from 6.22 million tons in 1998 to 20.05 million tons in 2010. Thus, industry has put heavy pressure on Wuxi's sustainable development while promote economic development.This paper takes the studies of the relationship between industrial carbon emissions and industrial economic growth as the main line. First of all, the paper conducts literature review and recent status review to clarify the significance of the problem, to tease out the relationship between the theoretical foundations of the economic growth and carbon emissions. Secondly, the paper analyzes the status and characteristics of industrial economic development, energy consumption and carbon emissions of Wuxi. On this basis and by making use of decomposition analysis method, the paper analyzes the changes in industrial carbon emissions. Then the paper introduces the econometric analysis method for further exploration of the long-term relationship between each variable of the industrial economy and carbon emissions. From two angles of Wuxi city, the industrial sub-sectors and sub-regional, comprehensively and systematically studies the impact of industrial growth to industrial carbon emissions. Lastly, according to empirical results, the paper proposes appropriate policy recommendations from four aspects in order to solve the problem of industrial growth and emission reduction. Through the systematic analysis, this paper has achieved some conclusions, as follows:(1)The economic scale effect is the decisive factor for the growth of industrial carbon emissions, while the inner-industry structure effect is the main factor to slow down the growth rate of carbon emissions. The energy intensity effect inhibits the increase of carbon emissions. However, the inhibition of energy structure is faint, which attributes to coal and coke-based energy consumption structure of energy-intensive industries. (2)During the optimization of industrial economy structure, we must focus on the proportion of two sectors: petroleum, coking and nuclear fuel processing and smelting and pressing of ferrous metals. (3)The energy effect of electricity and heating power production and supply offsets the carbon emission reductions in other sectors. And its high energy intensity will hinder the process of industrial carbon emissions. (4)In the long term, output per worker, energy efficiency, fixed assets investment and energy structure affect significantly the carbon emissions of the industrial sector. The industrial attributes determine its carbon emissions to a certain extent. And the significant differences of regional carbon emissions relate to the different level of industrial economy and its leading industries.
Keywords/Search Tags:Wuxi city, industrial economy, carbon emissions, decomposition analysis, panel data model
PDF Full Text Request
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