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Research On The Measurement Of The Potential Of CO2 Emission Reduction And Regional Economic Development Strategy Of 30 Provinces In China

Posted on:2018-03-30Degree:MasterType:Thesis
Country:ChinaCandidate:M SunFull Text:PDF
GTID:2359330518998003Subject:Business Administration
Abstract/Summary:PDF Full Text Request
Energy is the basis for the survival of human production and life, supporting the economic prosperity and development. However, Energy has brought us problems,such as environmental pollution,climate change and so on,which seriously threaten the existence and development of human society. In recent year, Machinery and power industry has developed rapidly, that is related with the release of large amounts of greenhouse gases from energy consumption. The academic community has always believed that the greenhouse effect caused by the energy consumed by human activities is the main cause of global warming, in which CO2 contributes the most. To this end, the world is committed to seeking more effective emission reduction actions. As the largest developing country in the world, Chinese economy is at an important stage of development, gradually changing the existing industrial structure requires a process for capital-intensive. We must pay attention to the environmental problems caused by energy consumption and bear the responsibility for emissions reductions. In this international environment, studying Chinese carbon emissions and its influencing factors, and analyzing the emissions reduction potential of the various provinces and cities, which can promote China's positive response to the climate change, and be advantageous to the energy policy, greenhouse gas emission reduction policy.Firstly, the paper selects a reasonable CO2 emission method to estimate the total amount of CO2 emissions in different provinces and regions, and describe the carbon dioxide emissions of each province in china. Secondly, the paper studies the CO2 emissions factors from the economic effects, social effects, energy effects and technical effects four aspects. And the paper carried out a statistical analysis and empirical research. Research find that effect of variables of economic and energy on carbon dioxide emissions level is positive; social on carbon dioxide emissions level is general; the technical is negatively correlated with the levels of carbon dioxide emissions. At the same time, At the same time, in order to better grasp the size of carbon dioxide emission reduction provinces in the current economic development level and technical level, paper is combined with the decoupling theory to establish carbon dioxide emission reduction potential evaluation system, so that can evaluate the effectiveness of the formulation and implementation of emission reduction policies of provinces. The results show that the CO2 emission reduction work of 30 provinces has played a positive role,but the effectiveness of emission reduction policy is still not guaranteed. Finally, based on the above research conclusions, this paper analyzes the disharmony between the economic development and CO2 emissions of each province, and puts forward some suggestions for the regional economic development.The innovation of the article lays in the study of CO2 emission factors from four aspects: economic effect, social effect, energy effect and technical effect. The technological innovation capability is defined as the number of domestic authorized patents for unit scientific research and experimental development (R&D). The article regards traffic levels as one of the influencing factors to study CO2 emissions. And the panel data model is selected for empirical analysis. In addition, the paper establishes the evaluation system of CO2 emission reduction potential of each province by combining the decoupling theory, so that can evaluate the effectiveness and efficiency of CO2 emission reduction policies and measures,and explores the carbon dioxide emission reduction pressure.
Keywords/Search Tags:CO2 Emissions, Energy Efficiency, Energy Consumption Intensity, Emission Reduction Potential, Decoupling Index
PDF Full Text Request
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