摘要
为深入研究影响水稻种植机械化发展的关键因素,在已有评价指标体系的基础上,从自然地理环境、社会经济文化水平和技术保障3个方面,选择了13种影响因素(16个度量指标),应用灰色关联分析,通过省际之间的比较,得到了影响中国水稻种植机械化地区发展不平衡的主要因素,给出了各影响因素的灰色绝对关联度及其排序.通过广东省历史发展数据分析了影响广东省水稻种植机械化发展速度的主要因素,给出了各影响因素的灰色斜率关联度及其排序,进而指出了广东省水稻种植机械化发展水平落后的原因.结果表明,影响中国水稻种植机械化地区发展不平衡的前5个因素依次为农田基础设施建设水平、土地经营规模、育秧机械化水平、农机化培训和机械作业需求水平;广东省水稻种植机械化落后的原因是整个发展系统的落后,为了实现广东省水稻种植机械化快速发展,建议重点发展育秧技术和提高育插秧装备水平,加强农田基础设施建设和农机化作业服务组织建设等.本文研究结果可对国内相关政策的制定提供重要的参考信息.
In order to deeply explore the key factors that affect the development of rice planting mechanization,this paper had discriminated the key factors by grey correlation analysis on the rice planting mechanization data from different providences and the time series data in Guangdong Province.Within the existing evaluation index system,we selected 13 influence factors（16 metrics）from socio-economic and cultural level,natural geographical environment and technical support.After inter-provincial comparisons,we obtained the relational order of the main influence factors on the regional development unbalance of rice planting mechanization in China.The results showed that the top five factors were the level of infrastructure on farmland,the scale of land management,the level of seedling raising mechanization,the training of agricultural mechanization and the level of mechanical operating demand.After data analysis of Guangdong Province,we obtained the relational order of the main influence factors on the development speed of rice planting mechanization.Based on these conclusions,this paper analyzed the reasons of backwardness of rice planting mechanization in Guangdong Province and gave some suggestions.This study can provide important information for domestic policy.
出处
《应用基础与工程科学学报》
EI
CSCD
北大核心
2013年第6期1167-1177,共11页
Journal of Basic Science and Engineering
基金
现代农业产业技术体系建设专项资金资助(CARS-01-33)
广东省高等学校引进人才资助(粤教师[2008]86号)
公益性行业(农业)科研专项(201203059)
全国统计科学研究计划项目(2013LY065)
关键词
水稻
种植机械
机械化
影响因素
灰色关联分析
rice
planting machinery
mechanization
influencing factors
grey correlation analysis
