摘要
该文通过构建农业经济可持续发展指标体系,采用主成分回归分析方法研究农业经济可持续发展与农业创新环境的相关关系。结果表明:影响南疆地区农业经济可持续发展的主要因素为粮食产量和乡村零售额,其次为人均GDP、农林业投资额、农村人均收入、第一产业投资额以及劳动生产率,土地生产率最弱;南疆各地区农业经济可持续发展能力综合得分整体较低,喀什地区2.25分最高,十四师-1.82分最低;人均GDP、农林业投资额、农村人均收入、第一产业投资额以及劳动生产率因素之间有利于促进农业创新环境的改善,粮食产量和乡村零售额与土地生产率不利于农业创新环境改善。
Based on the index system of sustainable development of agricultural economy,principal component regression analysis is applied to study the relationship between sustainable development of agricultural economy andagricultural innovation environment. The results show that the main factors that affect the sustainable development ofagricultural economy in southern Xinjiang are grain output and rural retail sales,followed by per capita GDP,investment in agriculture and forestry,per capita income of rural residents,investment in primary industry and labor productivity,and land productivity is the weakest;The overall score of agricultural economy sustainable development insouthern Xinjiang is low,the highest in Kashgar area is 2.25,and the fourteen division-1.82 is the lowest;per capita GDP,Agricultural and forestry investment,per capita income of rural residents,the first industry investment andlabor productivity factors is beneficial to promote the improvement of the agricultural innovation environment,grainproduction and rural retail sales and land productivity is not conducive to improve agricultural innovation environment.
作者
侯瑞环
徐翔燕
Hou Ruihuan;et al(Information Engineering of Tarim University, Alar 843300, Chin)
出处
《安徽农学通报》
2018年第9期6-8,共3页
Anhui Agricultural Science Bulletin
基金
塔里木大学校长基金青年科技创新资金项目
关键词
可持续发展
创新环境
农业经济
主成分回归
Sustainable development
Innovation environment
Agricultural economy
Principal component regression