基于EXP罚的浙江省经济增长影响因素研究

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英文篇名：Influencing Factors of Economic Growth in Zhejiang Province Based on EXP Penalty 作者：孙金金 ; 黄文武 ; 李杨 ; 林芬芳 ; 王延新 英文作者：SUN Jinjin;HUANG Wenwu;LI Yang;LIN Fenfang;WANG Yanxin;Ningbo University of Technology; 关键词：变量选择 ; Lasso ; EXP罚 ; 经济增长 ; 影响因素 英文关键词：variable selection;;Lasso;;EXP penalty;;economic growth;;influencing factor 中文刊名：LBGS 英文刊名：Journal of Ningbo University of Technology 机构：宁波工程学院; 出版日期：2019-03-15 出版单位：宁波工程学院学报 年：2019 期：v.31;No.102 基金：宁波工程学院王伟明助创基金项目(2018020);; 浙江省自然科学基金(LY18A010026);; 宁波市自然科学基金(2017A610143) 语种：中文; 页：LBGS201901012 页数：6 CN：01 ISSN：33-1332/Z 分类号：77-82

摘要

通过最小二乘估计、逐步回归、Lasso估计和EXP罚估计来实证分析浙江省经济增长的15个影响因素,结果发现EXP变量选取方法对经济领域的研究有积极作用,从而进一步认识各要素对浙江省经济增长的影响程度。
        Based on the least squares estimation, stepwise regression, Lasso estimation and EXP penalty estimation, the 15 influencing factors of the economic growth in Zhejiang are studied in this paper. The results show that the EXP method of selecting variables has a great positive effect on the research on the economic field so as to further understand the impact of various factors on the economic growth in Zhejiang.

引文

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