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基于VAR模型的安徽省粮食产量影响因素的实证研究
引用本文:孙红,卜乐乐,姚佐文.基于VAR模型的安徽省粮食产量影响因素的实证研究[J].安徽农业大学学报(社会科学版),2014(4):43-48.
作者姓名:孙红  卜乐乐  姚佐文
作者单位:安徽农业大学 经济管理学院;安徽农业大学 经济管理学院;安徽农业大学 经济管理学院
基金项目:安徽省软科学研究计划项目(项目编号:1302053038《技术创新链视角下新型农业科技服务体系构建研究)
摘    要:自然条件、政策环境、经济因素、技术进步等因素都会影响粮食产量。选取安徽省1990-2012年影响粮食生产的7个因素,最初,使用前向逐步回归分析的方法研究发现,对粮食产量影响较大的因素有粮食成灾面积、有效灌溉面积、化肥施用量3个变量。其次,Johansen协整检验阐释了这3个变量与粮食总产量之间的关系,并构造脉冲响应函数及进行方差分解得出这3个变量对总产量的贡献度为:粮食成灾面积〉化肥施用量〉有效灌溉面积。所以,增强农业工程的防灾减灾效果,提升农田水利基础设施的使用效率,科学控制化肥施用量对提高安徽省粮食综合生产能力具有重大作用。

关 键 词:粮食产量  Johansen检验  脉冲响应函数  方差分解

An Empirical Study on Factors Influencing Anhui Grain Output Based on VAR Model
SUN Hong,BU Le-le and YAO Zuo-wen.An Empirical Study on Factors Influencing Anhui Grain Output Based on VAR Model[J].Journal of Anhui Agricultural University(Philosophy & Social Sciences Edition),2014(4):43-48.
Authors:SUN Hong  BU Le-le and YAO Zuo-wen
Institution:School of Economics and Management, Anhui Agricultural University;School of Economics and Management, Anhui Agricultural University;School of Economics and Management, Anhui Agricultural University
Abstract:The factors influencing grain output include natural conditions, policy environment, economy factors, technology progress and so on. The paper selects seven factors based on the data from 1990--2012 in Anhui Province, and employs forward stepwise regression analysis to study the main factors influencing grain output. The result indicates that the inundated area of grain, the effective irrigation area and the chemical fertilizer significantly affect the grain output, the relationship between the three variables and the grain output is illustrated by Johansen test, and the contribution degrees are explained by constructing the impulse response functions and the variance decomposition methods. Therefore, to strengthen agricultural disaster prevention and reduction, to improve irrigation and water conservancy construction efficiently and to control the amount of chemical fertilizer scientifically have great impact on improving the overall grain production capability of Anhui Province.
Keywords:grain output  VAR model  impulse response function  variance decomposition
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