基于可加模型的贵州省电子商务销售额预测研究

准确预测电子商务销售额对电子商务业高质量发展具有重大意义。本文以贵州省为例,基于收集到的5个预测指标,建立可加模型对贵州省电子商务销售额未来三年进行预测。首先使用变分自编码器(VAE)方法对2003~2012年电子商务销售额缺失值进行估计补充,然后使用互信息评估5个预测指标被选择的合理性,同时使用基于B样条的核密度回归估计方法对可加模型进行估计。最后使用GM (1, 1)模型预测未来三年5个预测指标值,然后带入到已建立的可加模型中,从而得到电子商务销售额未来三年的预测值。Accurate prediction of e-commerce sales is of significant importance for the high-quality development of the e-commerce industry. Taking Guizhou Province as an example, this paper establishes an additive model to forecast the e-commerce sales in Guizhou Province for the next three years based on five collected predictive indicators. Firstly, the Variational Autoencoder (VAE) method is used to estimate and supplement the missing values of e-commerce sales from 2003 to 2012. Then, the mutual information is utilized to assess the rationality of the five predictive indicators selected, while the B-spline-based kernel density regression estimation method is employed to estimate the additive model. Finally, the GM (1, 1) model is used to predict the values of the five predictive indicators for the next three years, which are then incorporated into the established additive model to obtain the forecasted e-commerce sales for the next three years.

电商发展对家庭消费升级的影响

为探讨电商发展对家庭消费升级的影响,从直接影响与间接影响两个层面进行讨论,绘制发展性消费支出与电子商务销售额散点图。结果表明,家庭发展型消费支出与电子商务销售额之间呈现出正向的变化趋势,说明电子商务能够推动家庭消费升级。未来,需不断优化消费供给水平与消费环境,提高中高端产品与服务的市场占比,加强互联网通信、交通运输与仓储物流等配套设施的建设,创新电商发展新模式,强化电商增收效应。