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An Empirical Analysis On The Influencing Factors Of Energy Consumption In Rural Area

Posted on:2009-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:C C WangFull Text:PDF
GTID:2309360272988606Subject:Technical Economics and Management
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According to the angle of regional resources and city and countryside contact, the study analyzed the problem of rural energy in developed region and traditional agricultural region. According to the data of the rural areas regenerative energy throughout the country, the study carried on analysis to the change of the demand, the quantity and structure characteristics of energy consumption in rural area in developed region and traditional agricultural area. The study indicated that per capita consumption of rural household energy in developed region rural area is lower than in traditional agricultural region, but the trend of the rural energy consumption in the developed region and the traditional agricultural region are comparatively consistent. The total quantity of rural energy consumption escalated for the past few years, and the structure of rural area energy consumption also changed unceasingly, in the past, the combustion of straw and firewood was the main energy utilization, at present, the consumes increases promptly. However, traditional noncommercial energy can still stays in leading factor position. New clean energy such as marsh gas, the straw gas is accepted and put into use by the peasant, but the proportion is still very small.Based on the investigation for Jiangsu Province and Jilin Province, this paper analyzes the quantity, structure and influencing factors of rural household energy consumption. We use multi-liners model to study the factors determine the size of energy consumption of the rural household, the conclusion is that Per capita quantity of energy consumption of rural household is positively influenced by per capita net income, per capita area of land, per capita heads of livestock, per capita number of durable household consumable, per capita number of agricultural machinery. The relative relationship of the rate of work outside of the household and the total population of the household with the per capita consumption of rural household energy is negative. We use Probit model to study the factors influence whether a household choose to use the marsh gas, the conclusion is that whether the household choose to use the marsh gas determines by per capita net income, the housemaster’ s age, per capita heads of livestock, per capita area of land, the rate of work outside in the household, the total population of the household and whether the government provide the subsidy or the technical instructor. Among these, whether to choose the marsh gas of rural household is influenced greatly by the outer factors, the housemaster’ s age, per capita area of land, the rate of work outside of the household and the per capita consumption of rural household energy is negative. The affect of per capita heads of livestock the total population of the household is positive.We can conclude that the structure of rural energy consumption in our country is fairly unreasonable, the way to use the bio-energy is primitive, inefficient, and gravely polluted the environment; the rural energy construction in different areas is unbalanced. The fund that exploiting energy in rural area is deficient, rural energy technology transfer and follow-up supervisory service system are weak. In order to solve these problems, we should accelerate adjusting the using structure of rural energy combining with area energy consumption characteristics; harmonize rural energy developing relation in different area; give first place to peasant household participation, give second place to the government assistant, promote the rural energy construction promptly; reinforce technology training, technical service and technological development, improve personnel quality and engineering level of rural energy construction team, ensure the construction quality of rural energy.
Keywords/Search Tags:energy in rural area, quantity structure, influencing factors, developed region, traditional agricultural region
PDF Full Text Request
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