Supply Gap of Urban and Rural Public Goods Based on Big Data Mining Technology

Abstract

The issue of the supply gap of public goods (PG) between urban and rural (UR) areas is a subject of great socio-economic significance and practical research value. To a large extent, it is related to the smooth progress of my country’s socialist market economy. The gap between the supply and demand of UR PG can be well analyzed by applying data mining (DM) technology in the era of big data. Due to the unbalanced supply of UR PG, this paper studies the distribution gap of UR PG through DM. This article mainly uses experimental, comparative, and survey methods to compare and analyze the urban-rural income gap and uses modern technology to describe the relationship between the supply of PG and income. Experimental results show that the UR income gap ratio is above 2, and the gap is still large. Therefore, for the supply of PG, there are also certain differences between UR areas.