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吉林省农民人均纯收入现状分析及预测
引用本文:黄园园,金哲植.吉林省农民人均纯收入现状分析及预测[J].安徽农业科学,2014(2):589-590,595.
作者姓名:黄园园  金哲植
作者单位:延边大学理学院,吉林延吉133002
基金项目:2013年度国家自然科学基金项目(11361064).
摘    要:针对吉林省农民人均纯收入的影响因素,基于1978~2011年数据资料,采用主成分回归方法建立模型进行分析,对计量结果进行检验和预测,结果显示了较高的预测精度,说明建立了符合实际情况的模型;并利用因子分析提取种植业生产效率因子、剩余劳动力转移因子和农村经济社会发展因子3个主因子;最后从这3个主因子方面出发对如何增加农民收入,促进农村经济增长提出一些有益的参考建议。

关 键 词:影响因素  主成分回归  因子分析  预测  建议

Analysis and Forecasting on Current Situation of the per Capita Net Income of Farmers in Jilin Province
Institution:HUANG Yuan-yuan et al ( College of Science, Yanbian University, Yanji, Jilin 133002)
Abstract:Aiming at the ilffluencing factors of the per capita net income of farmers in Jilin Province, based on data during 1978 - 2011, the principle component regression method was adopted to establish model and analyze. The results were tested and predicted, indicating a higher precipitation accuracy. The factor analysis method was used to extract factor of production efficiency of planting, factor of surplus labor force transfer, rural economic social development factor; Finally, from the above three factors, several beneficial reference suggestions were put for- ward for increasing farmers' income and promoting rural economic growth.
Keywords:Influencing factors  Principal component regression  Factor analysis  Forecast  Suggestion
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