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本文利用2008年中国山西省和江苏省的农户生活用电调查数据,基于农户炊事的自选择行为,利用Treatment-effects模型分析了农户生活用电消费行为。模型的估计结果支持农户在生活用电消费上存在能源的自选择行为,证明不考虑这一行为选择引起的内生性,会造成最小二乘法的过度估计。收入、“是否有单独的厨房”以及地域因素是影响农户炊事是否用电的重要因素;而炊事用电的农户比炊事不用电的农户平均一年多用电173度;农户的支出水平、常住人口、家庭人口的在家总居住时间对农户生活用电量有显著的正向影响;家中有老人的农户会比没有老人的农户用电少;大功率电器的影响从大到小依次是空调、冰箱和电磁炉或微波炉。
Based on the household electricity consumption survey data of Shanxi Province and Jiangsu Province in 2008, based on the self-selection behavior of farmers, the paper uses Treatment-effects model to analyze household electricity consumption behavior. The results of the model support the farmers’ self-selection of energy in the consumption of living electricity, and prove that without considering the endogeneity caused by the choice of behavior, over-estimation of the least-squares method will be caused. Income, “whether there is a separate kitchen,” and geographical factors are important factors that affect farmers’ electricity consumption; and farmers who use electricity for cooking consume more than 173 degrees of electricity a year on average than those who do not consume electricity. Household expenditures The total living time at home of the resident population and family population had a significant positive impact on household electricity consumption. Households with elderly people at home would consume less electricity than those without elderly people. The influence of high-power electrical appliances would be in descending order It is air-conditioned, with fridge and cooker or microwave.