| 基于偏最小二乘回归分析的农民收入影响因素研究 |
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| 引用本文： | 熊吉峰. 基于偏最小二乘回归分析的农民收入影响因素研究[J]. 统计与信息论坛, 2005, 20(4): 30-33 |
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| 作者姓名： | 熊吉峰 |
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| 作者单位： | 武汉科技大学,管理学院,湖北,武汉,430081 |
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| 摘 要： | 文章运用偏最小二乘(PLS)回归方法,分析了转轨以来影响农民增收的12个因素。研究表明,城市化率、农村工业化程度、农户受教育程度以及劳务经济对农民增收作用最为明显。基于以上分析结论,本文认为,加快城市化进程、大力发展乡镇企业以及提高农民文化素质是增加农民收入的根本途径。
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| 关 键 词： | 农民收入 PLS回归 影响因素 |
| 文章编号： | 1007-3116(2005)04-0030-04 |
| 修稿时间： | 2005-01-22 |
A Study about the Farmer''''s Income Based on Partial Least-Squares Regression |
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| XIONG Ji-feng. A Study about the Farmer''''s Income Based on Partial Least-Squares Regression[J]. Statistics & Information Tribune, 2005, 20(4): 30-33 |
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| Authors: | XIONG Ji-feng |
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| Abstract: | Applying partial least-squares (PLS) regression, this paper analyzed the impact of 12 factors on farmer's income in China. Our study proposes that these factors play positive roles on farmer's income. Of all these factors, ratio of civilization, degree of rural industrialization and the degree of education play the most (significant) roles. Finally, based on our PLS regression result, we provided some advices to promote farmer's (income). |
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| Keywords: | Farmer's income PLS Influential factors. |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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