Statistics Of Income Gap Between Urban And Rural Residents In Lanzhou Analysis And Prediction

In recent years,China’s society has achieved high-quality development,completed the task of poverty alleviation,historically solved the problem of absolute poverty,and realized the Chinese nation’s millennium dream of a well-off society.The people’s income has increased year by year and their living standards have improved significantly.However,in this process,there is still the problem of uneven regional development,and the resulting urban-rural income gap has become increasingly prominent,and has become an important factor limiting economic development and affecting social stability.Lanzhou,as the capital city of Gansu Province and an important central city in northwest China,has been the largest economic aggregate in Gansu Province for many years,but there are still problems of uncoordinated urban and rural development and widening income gap.Therefore,it is of great significance to analyze the causes of the income gap between urban and rural residents in Lanzhou,evaluate the impact of various factors,and clarify the development trend of the income gap for the sound economic development and social harmony and stability of Lanzhou.This paper first analyzes the current income situation of urban and rural residents in Lanzhou,and draws the conclusion that the source and composition of income are mainly affected by wage income and transfer net income.Although the average income of urban and rural residents in Lanzhou has increased steadily and the urban-rural income ratio ranks sixth among the 14 cities in the province,the absolute income gap is large and has a trend of widening.Secondly,through consulting materials,this paper combed out the five main factors that caused the income gap between urban and rural residents in Lanzhou,and used regression analysis to study the six index data from 1978 to 2020.It found that the urbanization rate,the number of agricultural employees,and the proportion of agricultural fixed assets investment were the three most significant factors,and put forward relevant countermeasures and suggestions.Finally,based on the income and related data of urban and rural residents in Lanzhou from 1978 to 2020,the ARIMA prediction model,the traditional BP neural network prediction model and the SSA-BP neural network prediction model are established,and the prediction accuracy of each model is compared and analyzed.The results show that each error index of the SSA-BP neural network prediction model is the smallest in the three models,It shows that the SSA-BP neural network forecasting model is feasible in the research of urban and rural income in Lanzhou.