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The Spatial Disparity And Influencing Factors Of Energy Efficiency Of Chinese Cities

Posted on:2016-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z PanFull Text:PDF
GTID:2309330473965196Subject:Regional Economics
Abstract/Summary:PDF Full Text Request
Since the reform and opening up thirty years, the economy of China achieved rapid and sustained growth, it is with a rising amount of energy consumption, and the extensive growth mode also makes the low energy efficiency, further increasing the energy consumption of China, the shortage of resources and environmental problems brought by that are more and more serious, and even restricted the development of social economy, the government pays more and more attention. Improving energy efficiency is an effective way to solve these problems, in this context, this paper studies the country’s 285 cities’ total factor energy efficiency, and to make an empirical analysis of influencing factors, provide the basis for government to formulate relevant policies.Most scholars believe that the only capital, labor, energy and other factors combine to economic output. After finishing on energy efficiency and its influencing factors of the related literature, the definition of energy efficiency index, and finally selected considering multiple input elements of total factor energy efficiency as the evaluation index of energy efficiency in this paper.The starting point of this paper is to estimate the city energy efficiency by DEA method, and makes the energy efficiency in the distribution map of the study, and then make the spatial difference of city classification, found that higher energy efficiency in China’s eastern cities and for Mega cities. Next, through the spatial econometric model based on the panel data, I investigates the reason in the influence of space under the energy efficiency difference. Finally, on this basis, put forward can effectively improve our energy efficiency policy recommendations.
Keywords/Search Tags:total factor energy efficiency, Chinese Cities, spatial panel model, influence factors
PDF Full Text Request
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