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The Analysis On Energy Consumption And Influence Factors Of Energy Efficiency In China

Posted on:2019-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:C P YangFull Text:PDF
GTID:2382330566475731Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
Energy is the basis for human survival and is the economic lifeline of a country.China is the world's largest developing country.In 2010,China surpassed the United States as the world's largest energy consumer.Energy resources are crucial to China's development.In the past development,the Chinese economy has grown “extensively”,relying heavily on the consumption of natural resources,and the energy consumption situation is irrational,and the energy consumption efficiency is relatively low.This article plans from the present situation of energy consumption in China and analyzed the influence factors of energy efficiency,explore the irrational aspects of China's energy consumption and the impact of energy efficiency factors on energy efficiency,and provide information that can improve the current situation of energy consumption and enhance the rationality of China's energy efficiency.The paper first analyzes the total energy production and consumption,energy consumption structure,energy consumption in different industries,and energy intensity.Analysis process is mainly with the aid of Eviews do the sequence diagram,intuitively reflect the current situation of energy consumption,and using the integral autoregressive moving average(ARIMA)model,the analysis of the above various aspects has carried on the short-term prediction,analyses the development trend of China's energy consumption in the short term.Secondly,this paper analyzes the international and domestic energy efficiency by using the energy intensity index of unit GDP and the method of dispersion square and clustering in R software.Finally use 27 provinces and cities in China(including individual provinces could not be collected data index,temporarily don't consider)2006-2015 panel data,the panel data regression method by using R software,analyzes the industrial structure,technological progress,energy prices,energy structure,fixed investment level and the level of economic development on the impact of higher energy efficiency.Research results as follows: time series analysis,according to the results of China's energy supply and demand gap continues to increase,the energy structure is not reasonable,the proportion of coal accounts for most of the energy structure for a long time,in the energy consumption of different industries,industrial consumption than had been too big,reflect extensive industrial development and the development of other industries is not sufficient;Theresults show that China has a low energy efficiency and a large gap in energy efficiency.Panel data regression,according to the results of the second industry of the industrial structure and the proportion of coal energy structure has negative effect on energy efficiency,technology progress,energy prices,fixed investment level and the level of economic development has positive effect on energy efficiency.Based on the above analysis,this paper presents a few Suggestions as follows:transformation of energy production and consumption idea,adjust and optimize the energy consumption structure,appropriate to reduce the coal consumption,increase of natural gas and energy consumption,such as a power,pay attention to in the development and utilization of coal using the latest technology,attaching importance to and strengthen the exploration and use of new energy;We should attach importance to the overall improvement of energy utilization efficiency in various regions of China,take into account the economic development level,industrial structure and technological level differences of various regions,and formulate relevant policies on energy conservation and emission reduction.Adjust the industrial structure,pay attention to the development of the third industry,reasonable adjustment of energy prices,promote the reform of the marketization of energy prices,pay attention to adjust the fixed investment,to technological progress as a carrier,to improve infrastructure construction,reasonable adjustment for different regions,different industries of fixed investment levels,etc.
Keywords/Search Tags:Energy Consumption, Energy Efficiency, ARIMA Models, Panel Data
PDF Full Text Request
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