A Statistical Study On Per Capita Consumption Expenditure In Rural China

Consumption is an important part during the progress of social reproduction, and it is the final link. It is the progress that using social productions to meet people’s various needs. Consumption level is an important indicator to judge the economic level of an area or even a country. China is a vast country with economic development level widely different. And there is a difference among different regions in terms of culture and custom. As a result, people’s preference to consumption is differential, and expenditure is various. In our country, promoting the development of rural areas has important significance to the promotion of the overall development of the national economy. At present, “Three Rural Issue”(agriculture, rural and farmers) is a very important problem in our country, and it is a great concern to the people. Ever since the Reform and Opening-up is implemented, the living standard of rural residents has been improved, and many changes have happened in our country. However, the rural consumption level is still low compared with that of urban areas. It has a very important practical significance to promoting the consumption level of the rural further.The paper focuses on the consumption expenditure in rural areas, which we will do the corresponding research according to the provincial division of the country’s rural residents per capita consumption expenditure data from 1995 to 2012. Firstly, using the data to draw the series trend, To observe whether the sequence is a stationary time series, that is to say, the observation of the sequence,whether it is a roughly curve around the mean fluctuation. Usually, to test whether the sequence is stationary or not, we have three ways, including sequence diagram test, autocorrelation test and unit root test. If it is a stationary series, then we can carry on the following analysis. Otherwise, we need to tackle the data firstly. In general, we need to tackle the data using differential processing. Through the first difference, we get a first-order differential data, then we need to test whether the series is stationary or not, if stationary, we can continue to study, if not, the second differential is needed. Until the data can through the stability test. When the data is stationary, we can go on with a series of related analysis using software Eviews6.0. Finally we intend to get the fitting model we need. Then, we can make the corresponding analysis for the model. Finally, according to the model, the corresponding forecast of consumption value in 2013 is made, then compared with the existing data of 2013, then we can make the corresponding analysis and evaluation for the fitting model.The second part of this paper is about the correlation analysis, in which we make the correlation analysis with the data on the consumption expenditure and the crude divorce rate from 1995 to 2012. Consumer expenditure data is the embodiment of the level of economic development, and the crude divorce rate is a manifestation of the residents’ happiness index. Through the analysis of the data of the consumption expenditure and the crude divorce rate, It can be explained that the relationship between the level of economic development and the feeling of happiness. In this paper, we intend to study whether there is a relationship between economic development and the feeling of happiness, the higher the level of economic development, the stronger the feeling of happiness.