COVID-19疫情对汽车消费的影响及区域差异研究——基于空间统计及计量模型
Research on Impact of COVID-19 Epidemic on Automobile Consumption and Regional Differences in China—Based on Spatial Statistics and Econometric Models
DOI: 10.12677/HJDM.2022.123026, PDF,  被引量    科研立项经费支持
作者: 赖长强:广州市社会科学院,广东 广州;巫细波*:广州市社会科学院,广东 广州;广州城市战略研究院,广东 广州;吕沛颖:广州城市战略研究院,广东 广州
关键词: COVID-19疫情汽车消费区域热点空间差异Theil系数空间杜宾模型COVID-19 Pandemic Automobile Consumption Regional Hotspots Spatial Differences Theil Coefficient Spatial Dubin Model
摘要: 汽车消费市场是我国实现“双循环”“扩内需”战略的重要组成部分,COVID-19疫情对汽车消费的影响总体较大且偏负面、局部多元而不平衡。基于我国31个省市(自治区)的COVID-19累计确诊数(截止到2020年12月31日)、2019~2020年汽车销量、经济发展、汽车服务业等统计数据,采用ESDA、Theil指数、局域热点、空间杜宾模型等方法,从地区或省市层面分析了COVID-19疫情对2020年汽车消费的影响及区域差异。研究发现:1) COVID-19疫情影响下2019~2020年间我国汽车销量下降9.31%,七大地区汽车消费均下降但程度不一,省级汽车消费存在显著的空间集聚特征,销量热点分布于华东及华中地区,疫情对汽车消费省级空间格局影响很小。2) 受COVID-19疫情影响,省际汽车销量的Theil系数总体差异、组间差异、组内差异2019~2020年间均有所下降,组内差异对总体差异的贡献率更大,华南、西南地区的Theil系数较大,东北、华中地区的Theil系数较小。3) 空间杜宾模型分析表明,COVID-19疫情对汽车消费形成显著为负的抑制效应,周边地区汽车服务业水平对本地汽车销量形成抑制效应,邻近地区汽车销量对本地汽车销量形成正向空间溢出效应,各因素中收入水平对汽车消费的促进作用最为明显。
Abstract: The automobile consumption market is an important part of China’s strategy of realizing “dual circulation” and “expanding domestic demand”. The impact of the COVID-19 epidemic on automobile consumption is generally negative, partially diversified and unbalanced. Based on the cumulative number of confirmed cases of COVID-19 in 31 provinces in China (as of December 31, 2020), the 2019~2020 automobile sales, economic development, automobile service industry and other statistical data, ESDA, Theil index, Local hotspots, spatial Dubin model and other methods are used to analyze the impact of the COVID-19 epidemic on automobile consumption in 2020 and regional differences from the regional or provincial level. The study found: 1) Under the influence of the COVID-19 epidemic, China’s auto sales dropped by 9.31% from 2019 to 2020. The automobile con-sumption in the seven major regions decreased, but the degree was different. The provincial auto-mobile consumption has significant spatial clustering characteristics. The sales hotspots are distributed in East China and Central China. It has little impact on the provincial spatial pattern of automobile consumption. 2) Affected by the COVID-19 epidemic, the overall difference, inter-group difference, and intragroup difference of the Theil coefficient of inter-provincial automobile sales all decreased from 2019 to 2020, and the intragroup difference contributed more to the overall difference. The Theil coefficient of South China and Southwest China is larger, and the Theil coefficient of Northeast and Central China is smaller. 3) The analysis of Spatial Dubin model shows that COVID-19 epidemic has a significant negative inhibitory effect on automobile consumption, the level of the auto service industry in the surrounding areas has a restraint effect on local automobile sales, the automobile sales in adjacent areas have a positive spatial spillover effect on local automobile sales, and the income level has the most obvious role in promoting automobile consumption.
文章引用:赖长强, 巫细波, 吕沛颖. COVID-19疫情对汽车消费的影响及区域差异研究——基于空间统计及计量模型[J]. 数据挖掘, 2022, 12(3): 259-273. https://doi.org/10.12677/HJDM.2022.123026

参考文献

[1] Hsiang, S., Allen, D., Annan-Phan, S., et al. (2020) The Effect of Large-Scale Anti-Contagion Policies on the COVID-19 Pandemic. MedRxiv. [Google Scholar] [CrossRef
[2] 涂彦平. 新冠大疫对中国汽车影响调查[J]. 经营者(汽车商业评论), 2020(2): 212-214.
[3] 李方生, 赵世佳, 张建杰, 胡友波. 新冠肺炎疫情对汽车产业的影响及应对举措[J]. 科学管理研究, 2021, 39(1): 51-57.
[4] 吕沛颖, 巫细波, 赖长强. COVID-19疫情对全球汽车市场影响的实证分析——基于空间计量模型[J]. 世界经济探索, 2021, 10(4): 141-151. [Google Scholar] [CrossRef
[5] Belhadi, A., Kamble, S., Jabbour, C.J.C., et al. (2021) Manufac-turing and Service Supply Chain Resilience to the COVID-19 Outbreak: Lessons Learned from the Automobile and Air-line Industries. Technological Forecasting & Social Change, 163, Article ID: 120447. [Google Scholar] [CrossRef] [PubMed]
[6] 余振, 刘李威. 疫情影响下中国制造业参与全球产业链的变化及应对[J]. 江西社会科学, 2020, 40(7): 35-44+254-255.
[7] 刘瑶, 陈珊珊. 新冠疫情对全球供应链的影响及中国应对——基于供给侧中断与需求侧疲软双重叠加的视角[J]. 国际贸易, 2020(6): 53-62.
[8] 吴征, 刘金周. 疫情期间地方新能源汽车促进消费政策分析[J]. 汽车文摘, 2020(10): 26-29.
[9] 王宇露, 徐凯. 新冠肺炎疫情下政策支持对消费者购买新能源汽车的影响[J]. 上海电机学院学报, 2021, 24(1): 47-52+56.
[10] 巫细波, 葛志专. 我国汽车消费市场区域差异变化趋势及影响因素省际差异[J]. 对外经贸, 2020(6): 59-63.
[11] 孙春华. 汽车消费市场对汽车产业布局影响的实证研究[J]. 技术经济与管理研究, 2016(6): 119-123.
[12] 李英, 黄海梁. 我国城镇居民家用汽车市场扩散的区域差异研究[J]. 系统科学学报, 2016, 24(1): 107-111.
[13] 赖长强, 向晓梅, 巫细波. 新一轮开放背景下“一带一路”汽车市场的时空变化、影响因素与对策建议——基于沿线国家的面板数据分析[J]. 企业经济, 2019(6): 115-124.
[14] 庞丽, 李显君. 我国汽车产业竞争力区域差异的实证研究[J]. 数理统计与管理, 2011, 30(6): 951-959.
[15] 巫细波. 中国汽车制造业生产格局时空演变特征与前景展望[J]. 区域经济评论, 2020(2): 121-129.
[16] 巫细波, 赖长强, 葛志专. 政府严控期我国地级市COVID-19疫情的时空集聚、演变及自相关效应研究[J]. 地球信息科学学报, 2021, 23(2): 246-258.
[17] 葛志专, 巫细波. 金融危机后宏观政策对我国汽车市场的影响研究——基于动态面板数据系统GMM模型[J]. 科技和产业, 2020, 20(11): 113-119.