我国社会消费品零售总额影响因素和预测
Influencing Factors and Forecast of Total Retail Sales of Consumer Goods in China
摘要: 本文以2002年至2021年的人均可支配收入、GDP、电力消费、企业商品价格指数(CGPI)、旅客运输量、货物周转量、工业企业营业收入、石油和天然气开采业营业收入为变量,探究这些变量对社会消费品零售总额的影响。本研究建立了以电力消费、企业商品价格指数、工业企业营业收入以及石油和天然气开采业营业收入为解释变量的多元回归模型。进而发现电力消费、企业商品价格指数、工业企业营业收入对社会消费品零售总额的影响为正向的;石油和天然气开采业营业收入对社会消费品零售总额的影响为负向的。工业产能增长导致对能源消费的需求提高,而国家“碳中和”、“碳达峰”的发展需求,使得国内的工业发展结构不断优化,以电能取代石油的工业生产模式不断增加,因此国内的工业产值提高,会使得电力消费提高,石油和天然气开采业营业收入反而降低。工业产值的提高,使得工业企业营业收入提升、企业商品价格指数的增加,最终导致社会消费品零售总额增加。因此电力消费、企业商品价格指数、工业企业营业收入对社会消费品零售总额的影响为正向的;而石油和天然气开采业营业收入对社会消费品零售总额的影响为负向的。
Abstract: This paper uses the per capita disposable income, GDP, electricity consumption, corporate goods price index (CGPI), passenger traffic, cargo turnover, operating income of industrial enterprises, and operating income of the oil and gas extraction industry from 2002 to 2021 as variables to explore the impact of these variables on the total retail sales of consumer goods. This study establishes a multiple regression model with electricity consumption, corporate goods price index, operating income of industrial enterprises and oil and operating income of gas extraction industry as explanatory variables. And then it is found that the influence of electricity consumption, corporate goods price index, and operating income of industrial enterprises on the total retail sales of consumer goods is positive; the operating income of the oil and gas extraction industry has a negative impact on the total retail sales of consumer goods. The growth of industri-al production capacity leads to an increase in the demand for energy consumption, while the national development policies of “carbon neutralization” and “carbon peaking” are such that the domestic industrial development structure is optimized. The industrial production mode of replacing oil with electric energy is increasing. Therefore, the increase of the domestic industrial output value will increase the electricity consumption, but the operating income of the oil and gas extraction industry will decrease. The increase in industrial output value leads to an increase in the operating income of industrial enterprises and the increase in the corporate goods price index. Finally, leads to an increase in the total retail sales of consumer goods. Therefore, electricity consumption, corporate goods price index, and operating income of industrial enterprises have a positive impact on the total retail sales of consumer goods; However, the impact of the operating income of the oil and gas extraction industry on the total retail sales of consumer goods is negative.
文章引用:袁丹丹, 卢忆, 张有中. 我国社会消费品零售总额影响因素和预测[J]. 运筹与模糊学, 2022, 12(4): 1308-1316. https://doi.org/10.12677/ORF.2022.124137

参考文献

[1] 孙艳, 彭阳阳. 我国社会消费品零售总额的分析预测[J]. 统计与决策, 2016(18): 90-94.
[2] 邹洋. 社会消费品零售总额的影响因素简析[J]. 中国商论, 2017(15): 1-2.
[3] 2020年国民经济稳定恢复主要目标完成好于预期[EB/OL]. 国家统计局. http://www.stats.gov.cn/tjsj/zxfb/202101/t20210118_1812423.html, 2021-01-18.
[4] 2021年社会消费品零售总额增长12.5% [EB/OL]. 国家统计局. http://www.stats.gov.cn/tjsj/zxfb/202201/t20220117_1826591.html, 2022-01-17.
[5] 李小星, 徐永利. 基于函数性数据分析的中国社会消费品零售总额数据的预测[J]. 北京化工大学学报(自然科学版), 2018, 45(3): 107-112.
[6] 白东杰, 张圆. 基于Benford法则的社会消费品零售总额统计数据质量检验[J]. 统计与决策, 2019, 35(12): 5-8.
[7] 步德迎. 1995年国内消费品市场与物价态势分析及1996年预测[J]. 数量经济技术经济研究, 1996(6): 49-53.
[8] 邱雅. 北京市消费品零售发展趋势定量分析[J]. 北京工商大学学报(社会科学版), 2008(1): 37-41.
[9] 方湖柳. 社会消费品零售总额波动规律及影响因素分析[J]. 山西财经大学学报, 2009, 31(7): 22-28.
[10] 孙红英. 我国消费者信心与社会消费品零售指数关系研究[J]. 价格理论与实践, 2010(6): 48-49.
[11] 刘伟, 朱立龙. 我国居民消费影响因素分析及管理对策研究[J]. 中国管理科学, 2012, 20(S1): 232-236.
[12] 郜奕钧, 何林芮. 社会消费品零售总额影响因素探讨[J]. 商业时代, 2014(7): 8-9.
[13] 王念宁. 云南省社会消费品零售总额时间序列分析[J]. 社会科学前沿, 2018, 7(2): 148-155.
[14] 梁红梅, 赵宏宝. 网络购物、人均可支配收入对社会消费品零售总额的动态关系研究——基于Johansen检验与VEC模型的分析[J]. 重庆理工大学学报(自然科学), 2020, 34(8): 203-209.
[15] 张萌. 新型工业企业经济效益指标体系及其综合评价[J]. 企业导报, 2016(9): 16-17.