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Research On Effect Of Independent Innovation And Technology Introduction On Regional Carbon Dioxide Emissions Efficiency

Posted on:2017-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y W LuFull Text:PDF
GTID:2311330488459020Subject:Population, resource and environmental economics
Abstract/Summary:PDF Full Text Request
As the world's second largest economy, China has ranked No.1 among the world's carbon-emitting countries. It is concerned that how to take on the responsibility of a big developing country, to better respond to global climate change for China. With the convening of the 2015 Climate Conference in Paris, the topic of "carbon reduction" has become the focus of the world's attention. Therefore, it is urgent to find ways to reduce emissions of carbon dioxide. China's double-identity requires China neither to blindly pursue economic growth nor to ignore the economic environment, which determines that it is crucial to use TFP index for carbon emission to measure the contribution of the carbon-reduction rather than use single factor only.This article breaks the limitations of Solow model and traditional DEA model by using undesirable output SBM model. It uses carbon dioxide emissions and GDP as undesirable output and desirable output, taking into account capital, labor and energy as three kinds of input factors. The purpose of the previous method is to measure the efficiency of the carbon dioxide emissions from regional dimension of China comprehensively. On the basis of the theoretical IPAT and STIRPAT model, the paper emphasizes on the role of technological progress on efficiency of carbon dioxide emissions and further distinguishes technology spillovers generated by three different sources of technological progress, namely independent innovation and technology introduction (FDI and Import of Foreign Trade). In the same time, considering the increasingly strengthened regional environmental cooperation, we introduce space factor to study whether there exists space in efficiency of carbon dioxide emissions at regional level. In addition, this paper adds spatial factor, economic factor, structural factor to the spatial model to do empirical analysis as well.The empirical results of this article show that index of carbon dioxide emissions efficiency measured in this paper, is more comprehensive and objective to explain the level of carbon emissions in different regions, comparing to the single factor index. And innovation (patent granted characterization) and foreign direct investment, as important sources of technological progress, can significantly improve the efficiency of carbon dioxide emissions; industrial structure and enhancement of the level of urbanization will reduce efficiency of carbon dioxide emissions. Spatial model's results also verify the carbon dioxide emissions efficiency of neighboring provinces as well as random reason will impact the efficiency of this province. This means that attaching importance to technological progress, accelerating structural transformation and strengthening regional cooperation is increasingly becoming an important means to improve the efficiency of carbon dioxide emissions and to further achieve the goal of carbon reduction.
Keywords/Search Tags:Carbon Dioxide Emissions Efficiency, Technological Progress, Region, Spatial Effect
PDF Full Text Request
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