Empirical Study on the Statistics of Rural Industrial Economic Forecasts in the New Era Based on Big Data

The main contradiction of China's social development is mainly reflected in the growing demand for life and unbalanced social contradiction, among which the most critical is the three rural issues, which is also a fundamental issue affecting the international people's livelihood. According to the era of big data statistical analysis rural industry economic forecasts as a result, the country began to fully implement the strategy of rejuvenating rural, and the research of the relationship between rural development and rural prosperity, clear the future rural economic development direction, puts forward the implementation of effective path, this to change the current rural ageing and hollowing out phenomenon has a positive effect, Thus guide the rapid development of China's rural industrial economy. In this paper, the development level of agricultural modernization is discussed by analytic hierarchy process, the main factors restricting industrial upgrading are analyzed by generalized spatial regression model, the relationship between industrial integration and rural revitalization is clarified, and the degree of industrial integration is measured from the perspective of supply and demand based on the input-output method and correlation coefficient method. Finally, based on the micro-survey data of 4131 households in 14 provinces and cities in China, the paper puts forward specific countermeasures to improve agricultural total factor productivity.