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四川省农业产值影响因素实证分析
引用本文:罗文奇,廖善刚.四川省农业产值影响因素实证分析[J].台湾农业探索,2020(1):19-23.
作者姓名:罗文奇  廖善刚
作者单位:福建师范大学地理科学学院;福建师范大学地理研究所
基金项目:国家自然科学基金项目(41771136)
摘    要:【目的/意义】通过探讨影响四川省农业产值的主要因素,可为提升四川省现代化农业发展水平提供对策建议。【方法/过程】以四川省2016年统计年鉴数据为基础,收集整理四川省21个市(区)农业投入的相关数据,选取6个农业投入指标,采用主成分分析法和线性回归模型对四川省农业产值及对应的农业指标投入关系进行研究分析。【结果/结论】研究发现:影响四川地区农业产值的因素主要有耕地面积、灌溉面积和农业机械总动力等,并提出保证耕地数量与质量、扩大有效灌溉面积、提高化肥使用效率、保证农村用电供应、提高农业机械总动力水平与乡村从业人数等相关调整建议。

关 键 词:农业产值  农业投入指标  主成分分析  线性回归

Empirical Analysis of the Factors Affecting Agricultural Output Value in Sichuan Province
LUO Wen-qi,LIAO Shan-gang.Empirical Analysis of the Factors Affecting Agricultural Output Value in Sichuan Province[J].Taiwan Agricultural Research,2020(1):19-23.
Authors:LUO Wen-qi  LIAO Shan-gang
Institution:(College of Geography,Fujian Normal University,Fuzhou,Fujian 350007,China;Institute of Geography,Fujian Normal University,Fuzhou,Fujian 350007,China)
Abstract:【Objective/Meaning】In order to improve the development level of modern agriculture in Sichuan Province,the main factors that influenced the agricultural output value of Sichuan Province were discussed,in order to provide countermeasures and suggestions for the development of modern agriculture.【Methods/Procedures】Based on the statistical yearbook of Sichuan Province in 2016,the relevant data of agricultural input of 21 cities(districts)in Sichuan Province were collected and sorted out,and then the six agricultural input indicators were selected to study and analyze the relationship between agricultural output value and corresponding agricultural index input in Sichuan Province by using the method of principal component analysis and the model of linear regression.【Results/Conclusions】It was found that the main factors influencing the agricultural output value in Sichuan were cultivated land area,irrigation area and total power of agricultural machinery,so the relevant adjustment suggestions were put forward including ensuring the quantity and quality of cultivated land;expanding the effective irrigation area;improving the efficiency of fertilizer use;ensuring the supply of electricity to rural areas;increasing the total power level of agricultural machinery and the number of rural employees.
Keywords:agricultural output value  indicators of agricultural input  principal component analysis  linear regression
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