Canonical Correlation Analysis Between Output and Input of Chinese Agricultural Production

This paper chooses agricultural total output,productivity of agricultural labors and percentage increase of agricultural total output as the three indexes to evaluate agricultural output level,while some production factors,such as laborers under farming,forestry,animal husbandry and fishery,total power of agricultural machinery,electricity consumption in rural areas, irrigated areas,total sown areas of farm crops,consumption of chemical fertilizers and agricultural laborers' degrees of education are chosen to analyze agricultural input.And this paper builds the canonical correlation models of agricultural input-output with canonical correlation analysis and makes a quantitative analysis of the correlations between input factors and output level of Chinese agricultural production.The result shows that agricultural output level is mainly reflected by productivity of agricultural labors and agricultural total output,while agricultural mechanization,electrization,production materials and agricultural laborers' degrees of education are the principal factors that have effects on agricultural output level.Therefore,accelerating the developments of agricultural mechanization and electrization and increasing the educated level of agricultural laborers would be efficient ways to improve agricultural output level and achieve the aim of agricultural modernization.