摘要
本文利用各省财政农业人均支出、农村人均用电量作为解释变量,建立了农民人均收入空间自回归(SAR)模型。模型数据分析表明:我国农民人均收入存在明显的空间自相关现象,它反映了省际农民收入存在聚集效应;农民人均收入对财政农业人均支出、农村人均用电量存在明显的空间依赖性;财政农业支出对农民增收产生积极的正面影响,农村用电量是衡量农民收入水平的重要有效指标。考虑到省际间差异可能太大,文章还对福建省67个县市进行了同样的问题研究,并得出了相似的结论。
Using the government expenditure for agriculture and rural electricity consumption as explanatory variables, this paper establishes spatial autoregressive models （SAR） for farmer＇s income per capita. The results indicates the following facts： the phenomena of spatial auto-correlation obviously exist in farmer＇s income, which shows that inter-provincial farmer＇s income exists clustering effect; farmer＇s income has significant spatial dependence on government expenditure for agriculture and rural electricity consumption; government expenditure for agriculture has positive effect on farmer＇s income and rural electricity consumption is an important index to reflect farmer＇s income level. Considering the big differences among provinces, the authors even study the same problem for 67 counties of Fujian Province and draws the similar results .
出处
《统计研究》
CSSCI
北大核心
2007年第9期48-52,共5页
Statistical Research
关键词
农民收入
财政农业支出
农村用电量
空间自回归模型
Farmer＇ s income
Government expenditure for agriculture
Rural electricity consumption
Spatial autoregressive model
