An empirical analysis of household energy consumption in Hubei Province under the transition of income class

The paper used the way of micro-data collection. In the form of a one-to-one survey conducted by the investigator, I visited 16 cities under the jurisdiction of Hubei province, collected 788 valid questionnaires and got the latest data of 2017.Obtained the detailed data on the income level of the residents and the use of various kinds of household energy. The data indicated that the mainly household energy consume in Hubei province are electricity, liquefied petroleum gas, gasoline and firewood. According to the structure and data characteristics of the questionnaire, classified the families according to the annual household income into five types as under 30000 yuan, 30000 to 50000 yuan, 50000 to 100000 yuan, 100000 to 200000 yuan, and more than 200000. Use the Excel and Stata to measure their energy consumption preferences at different income levels. Through analysis, it is found that the energy consumption of households in Hubei Province shows a clear energy mix. The dominant energy portfolio is different for each income level. With the increase of income, the general trend of “complexity to simplicity” has emerged for the choice of energy mix .Resulting in the rapid rise of the energy combination represented by "gasoline + electricity" in the consumption structure. Changes in energy mix also have volatility characteristics. In the energy consumption structure of Hubei Province, the amount of gasoline is the most, equivalent to approximately 7,252,0972 tons of standard coal. Electricity consumption ranks second, which is equivalent to approximately 3,075,721 tons of standard coal. With the help of the expression of the data and the charts. To show the situation about the household energy consumption and the household energy consumption preferences in Hubei Province in 2017.According to the actual situation of energy consumption of the residents to provide reference for the development policy of Hubei province.