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An Empirical Study On The Impact Of Crude Oil Price Fluctuation On Energy Intensity Of China's Industries

Posted on:2017-05-29Degree:MasterType:Thesis
Country:ChinaCandidate:W J ShenFull Text:PDF
GTID:2359330512475724Subject:Quantitative Economics
Abstract/Summary:PDF Full Text Request
Since the reform and opening up,the rapid growth of China's economy and industrialization process,and urbanization provided on the agenda too in recent years,so that the demand of energy increases fast,energy efficiency has attracted people's attention.At present,the research on energy intensity is mostly focused on its influencing factors,and the conclusion is basically the same as the two types of structural factors and efficiency factors.The factor structure can be divided into the economic structure and energy consumption structure:economic structure mainly refers to the distribution of the three major industries,energy consumption structure refers to the proportion of various types of energy(coal,oil,electricity,etc.).And the price of energy is the direct and major factor affecting energy consumption structure.As the basis of energy,crude oil as well as a variety of its widely used derivatives,is one of the main inputs to the production of many industrial sectors in China.China's vast territory and abundant resources,but low per capita amount of resource allocation,result in that the consumption of crude oil in our country mainly depends on importing directly from the international market.And in recent years,relevant departments adjust the domestic oil pricing mechanism,the domestic refined oil market gradually fluctuates with the international market,thus making the impact of the international crude oil price on China's various industries is increasing and more and more directly,especially the energy consumption structure and energy intensity.Therefore,the empirical research on the influence of international oil price on energy consumption intensity of China's industry is of great significance to the relevant departments,which will help them understand the mechanism of change of energy intensity in China more comprehensively,and providing a basis for the relevant regulatory policy objectives.Based on the previous research,we select the annual data from 1995-2013 in China's 32 industries,through the establishment of Structural Vector Auto Regression Model between the four variables,the energy intensity,the international crude oil prices,oil industry,proportion of oil energy consumption and proportion of R&D expenditure,and using Impulse Response Function to analyze the effect of international crude oil price fluctuations on the industrial energy intensity in China and the difference in the energy consumption structure of different inter industry characteristics.The research results show that:Overall,the rise in international crude oil prices will make China's industrial sector energy intensity reduce,and the effect on oil resources consumption of more intensive oil consumption industry is more prominent.Due to the high replacement rate,for low proportion of oil consumption industry,the reaction of energy intensity to fluctuations in international oil prices is relatively weaker,and with the passage of time,the effect is gradually showing a positive effect,namely when the international crude oil price is rising,energy intensity the industry will show a rising feature.At the same time,the impact of proportion of oil energy consumption to the energy intensity shows a positive effect,indicating that the increase in oil energy consumption will increase the energy intensity of the industrial sector,and the use efficiency of oil energy is low.And,compared to the energy intensity response to crude oil prices and proportion of oil energy consumption impulse,we can know that the impact of the proportion of oil energy consumption shows a longer duration.Therefore,it is more effective to improve the oil energy consumption structure in the reduction of energy intensity.
Keywords/Search Tags:Crude Oil Price, Energy Intensity, Structural Vector Autoregression Model, Impulse Response Function
PDF Full Text Request
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