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基于岭回归的上海市社会消费品零售额影响因素分析 被引量:9

Analysis of Influencing Factors on Retail Sales of Consumer Goods in Shanghai Based on Ridge Regression
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摘要 运用岭回归分析了上海市社会消费品零售额与城镇居民收入、农村居民收入、城镇居民人均消费、农村居民人均生活开支的关系。结果表明:对上海市社会消费品零售额影响最大的是城镇居民人均消费,最小的是农村居民人均生活开支。上海市城镇化率高,城镇居民人均消费比重高,对社会消费品零售额贡献最大。 The relationship between the retail sales of consumer goods and the income of urban and rural residents,the average consumption of urban and the average living expenses of rural residents in Shanghai was analyzed by means of ridge regression.The results show that the biggest impact on the retail sales of consumer goods in Shanghai is the average consumption of urban residents,and the smallest impact is the average living expenses of rural residents.Shanghai has a high urbanization rate and takes up a large proportion of average consumption of urban residents,which contributes most to the retail sales of consumer goods.
作者 舒服华 SHU Fuhua(School of mechanical and electrical engineering,Wuhan University of Technology,Hubei,Wuhan 430070,China)
出处 《上海商学院学报》 2018年第5期39-45,共7页 Business Economic Review
基金 湖北省自然科学基金(2017CFB159)
关键词 上海市 社会消费品零售额 影响因素 岭回归 Shanghai retail sales of consumer goods influencing factors ridge regression
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