摘要
以山东省、安徽省、陕西省作为研究对象,采用带有时变参数的状态空间模型分析1990—2010年间这三个省份农村公共投资对农民收入的影响,并通过卡尔曼滤波的求解方法得出农村公共投资对农民收入影响随着时间变动发生波动的曲线图。研究发现农村公共投资对农民收入的影响不仅因不同地区经济水平、社会环境、地理气候、人文背景等因素的不同而表现出不同的影响程度,而且这种影响关系随着时间变化产生波动。
This paper employs time-varying parameter(TVP) state space model to analyze the relationship between rural public investment and farmers' income in Shandong, Anhui and Shanxi Provinces from 1990 to2010. Using Kalman filter, it draws the diagram of the dynamic changes of the influence in different times. It finds that their relationships are different not only because of economic development level, social environment, weather and location, but also have obvious fluctuation in time. This phenomenon is interpreted as the result of important policy changes and fast economy development. This conclusion will provide comprehensive and reliable theoretical basis for the decision of rural public investment policy.
出处
《河北经贸大学学报》
CSSCI
北大核心
2015年第1期40-45,共6页
Journal of Hebei University of Economics and Business
基金
中国教育部博士后科学基金特别资助项目(2013T60653)
中国博士后科学基金面上资助项目(2014M551301)
关键词
农村公共投资
农民收入
卡尔曼滤波
时间序列矩阵
地区经济水平
社会环境
地理气候
rural public investment
farmers' income
Kalman filter
time-varying parameter
regional economic level
socialenvironment
geography and climate