统计研究 ›› 2007, Vol. 24 ›› Issue (9): 48-52.

• 论文 • 上一篇    下一篇

SAR模型在省域和县域农民收入中的应用研究

戴平生 陈建宝   

  1. 厦门大学
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-15 发布日期:2007-09-15

Application of SAR Models on Farmer’s Income of Inter-provinces and Inter-counties

Dai Pingsheng;Chen Jianbao   

  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-15 Published:2007-09-15

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。

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

Abstract: 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.

 

Key words: Farmer’s income, Government expenditure for agriculture, Rural electricity consumption, Spatial autoregressive model