摘要
为探究公路运输业对GDP的影响,利用多元统计方法,构建GDP比例预测模型得出2012年公路运输对GDP贡献度约为2.42%。分别构建感应度、影响力系数模型,得出交通运输感应度处于行业平均水平之上,公路建筑及交通运输影响力都达到行业平均水平。建立多元非线性回归模型,分析了相关行业影响的显著性,给出如何合理划分调查模块以提高数据收集效率的具体方法。
This article aims at the growth of GDP because of Road Transportation, uses multivariate statistics, constructs proportional prediction model of GDP and gets Road Transportation＇s contribution degree to GDP is about 2.42 % in 2012. We construct response coefficient and influence coefficient model and get the result that response coefficient of transportation industry is beyond industry average, road building and transportation industry are up to industry average. We construct multiple linear regression models to analyze the significance of relevant industry＇s impact. And we provide definite method that how to divide the survey module reasonability to improve the efficiency of data collection.
出处
《科技和产业》
2014年第1期23-27,共5页
Science Technology and Industry
基金
安徽省高等教育振兴计划部分项目资助(2013cgtg013)
国家级大学生创新创业训练计划项目资助(201310378202)
关键词
公路运输业
感应度系数
影响力系数
多元回归分析
灵敏度分析
highway transport industry
sensitivity coefficient
influence coefficient
multivariate regression analysis method
sensitivity analysis
