COVID-19疫情对中国区域经济及产业的影响

doi:10.11821/dlxb202104017

Abstract

Abstract:

To scientifically assess the effects of major public health emergencies on economic system, regulate its negative effect and improve the resilience of the economic system is an important national strategic requirement. Currently, the novel coronavirus disease (COVID-19) epidemic has been effectively contained in China, while exogenous and regional risks remain. Systematical identification of influence path and strength of COVID-19 epidemic on economic system has guiding significance for economic system recovery. Based on the improved multi-regional computable general equilibrium model for China, this research measures the output changes in economic system and major industries in China under different COVID-19 epidemic prevention and control scenarios with different changes in factors supply and products demand. The results show that the provincial economic growth in China falls by 0.4%-0.8% compared with the normal situation in 2020, and residential consumption and employment falls by about 2% and 0.7% respectively, while commodity prices rise by about 0.9% in the short term. From the perspective of industrial economy, consumption-oriented and labor-intensive industries are the most adversely affected in the short term. For example, the output value of the service sector will decrease by 6.3% compared with normal levels. Besides, regarding the regional differences of the effects of COVID-19 epidemic on the economic system and industrial economy, Hubei province, as one of the regions with first-level epidemic prevention and control risk, faces the greatest challenge. The effects of COVID-19 epidemic present a spatial spreading pattern with Hubei province as the center. The major industries that suffer from the impacts of COVID-19 epidemic vary in different regions. In addition, this research assesses the intensity of the regional economic recovery under the resumption of work and production scenario and the proactive fiscal policy scenario respectively. The results show that compared with the resumption of work and production, the effect of increasing fiscal stimulus has more potential for economic system recovery, up by 0.3% in GDP and by 1.8% in commodity price, while resumption of work and production has a wider range of spatial pulling effects on industries.

Key words: COVID-19 epidemic, economic system impact, industrial impact, multi-level and multi-region, multi-regional computable general equilibrium, system resilience, recovery strategy

WU Feng, LIU Guijun, GUO Naliang, LI Zhihui, DENG Xiangzheng. The effects of COVID-19 epidemic on regional economy and industry in China[J].Acta Geographica Sinica, 2021, 76(4): 1034-1048.

Figures/Tables 12

Fig. 1

Tab. 1

Fig. 2

Fig. 3

Tab. 2

Fig. 4

Fig. 5

Tab. 3

Tab. 4

Tab. 5

Fig. 6

Fig. 7

References 49

[1]	McKibbin W J, Fernando R. The global macroeconomic impacts of COVID-19: Seven scenarios. SSRN Electronic Journal, 2020,19. DOI: 10.2139/ssrn.3547729.
[2]	Binder C. Coronavirus fears and macroeconomic expectations. SSRN Electronic Journal, 2020. DOI: 10.2139/ssrn.3550858.
[3]	Zeng Chunyuan, Feng Yan. Viewing of the strength of the national economy for fighting against crisis from the case of SRAS. Journal of Beijing Institute of Technology (Social Sciences Edition), 2004,6(4):13-15.
	[ 曾春媛, 冯艳. 从SARS疫情看国民经济抗危机能力. 北京理工大学学报(社会科学版), 2004,6(4):13-15.]
[4]	He Chengying, Wen Yuechun, Chang Yali, et al. Measurement and analysis of the COVID-19 epidemic impact on China's economy. The Journal of Quantitative & Technical Economics, 2020,37(5):3-22.
	[ 何诚颖, 闻岳春, 常雅丽, 等. 新冠病毒肺炎疫情对中国经济影响的测度分析. 数量经济技术经济研究, 2020,37(5):3-22.]
[5]	Shao S. Analysis of China's novel coronavirus pneumonia epidemic based on previous PHEIC events. International Invention of Scientific Journal, 2020,4(3):1008-1015.
[6]	Wen Yun, Zhang Tao, Du Qianyi. Quantifying the Covid-19 economic impact. SSRN Electronic Journal, 2020. DOI: 10.2139/SSRN.3546308.
	[ 文韵, 张韬, 都婧仪. 新冠疫情经济影响量化分析. SSRN Electronic Journal, 2020. DOI: 10.2139/SSRN.3546308.]
[7]	Huang Yiping. Economic impact of new coronary pneumonia and policy responses. Enterprise Observer, 2020(1):76-77.
	[ 黄益平. 新冠肺炎的经济影响与政策应对. 企业观察家, 2020(1):76-77.]
[8]	Tang Wenjin, Liao Rongrong, Liu Jing. A review of studies on the economic impact of public emergencies. Economic Perspectives, 2009(4):112-116.
	[ 唐文进, 廖荣荣, 刘静. 突发公共事件经济影响研究述评. 经济学动态, 2009(4):112-116.]
[9]	Lee J W, McKibbin W J. Globalization and disease: The case of SARS. Asian Economic Papers, 2004,3(1):113-131.
[10]	McKibbin W J, Sidorenko A. Global macroeconomic consequences of pandemic influenza. Sydney: Lowy Institute for International Policy, 2006.
[11]	Nicola M, Alsafi Z, Sohrabi C, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 2020,78:185-193. doi: 10.1016/j.ijsu.2020.04.018 pmid: 32305533
[12]	Lenzen M, Li M, Malik A, et al. Global socio-economic losses and environmental gains from the Coronavirus pandemic. PLOS ONE, 2020,15(7):e0235654. DOI: 10.1371/journal.pone.0235654. doi: 10.1371/journal.pone.0235654 pmid: 32645023
[13]	Wang Ruolan. The impact of the new crown pneumonia epidemic on the global economy and its response strategies: Based on the perspective of global production supply chains. International Finance, 2020(4):31-36.
	[ 王若兰. 新冠肺炎疫情对全球经济的影响及应对策略: 基于全球生产供应链视角. 国际金融, 2020(4):31-36.]
[14]	Deb P, Furceri D, Ostry J D, et al. The economic effects of Covid-19 containment measures. SSRN Electronic Journal, 2020. DOI: 10.2139/SSRN.3546308.
[15]	Sun Jiuwen. The impact of the new crown pneumonia epidemic on China's regional economic development. Regional Economic Review, 2020(2):8-11.
	[ 孙久文. 新冠肺炎疫情对中国区域经济发展的影响初探. 区域经济评论, 2020(2):8-11.]
[16]	Barichello R. The COVID-19 pandemic: Anticipating its effects on Canada's agricultural trade. Canadian Journal of Agricultural Economics, 2020,68(2):219-224.
[17]	Geoffard P Y, Philipson T. Rational epidemics and their public control. International Economic Review, 1996,37(3):603-624.
[18]	Cuddington J T, Hancock J D. The macroeconomic impact of AIDS in Malawi: A dualistic, labour surplus economy. Journal of African Economies, 1995,4(1):1-28. pmid: 12290900
[19]	Anand K, Pandav C S, Nath L M. Impact of HIV/AIDS on the national economy of India. Health Policy, 1999,47(3):195-205. doi: 10.1016/s0168-8510(99)00023-8 pmid: 10538918
[20]	Dixon S, McDonald S, Roberts J. The impact of HIV and AIDS on Africa's economic development. British Medical Journal, 2002,324(7331):232-234. doi: 10.1136/bmj.324.7331.232 pmid: 11809650
[21]	Smith R D, Keogh-Brown M R, Barnett T. Estimating the economic impact of pandemic influenza: An application of the computable general equilibrium model to the UK. Social Science & Medicine, 2011,73(2):235-244.
[22]	Sachs J D. Macroeconomics and health: Investing in health for economic development. Revista Panamericana De Salud Pública, 2002,12(2):143-144.
[23]	Keogh-Brown M R, Smith R D, Edmunds J W, et al. The macroeconomic impact of pandemic influenza: Estimates from models of the United Kingdom, France, Belgium and The Netherlands. The European Journal of Health Economics, 2010,11(6):543-554. doi: 10.1007/s10198-009-0210-1 pmid: 19997956
[24]	Smith K M, Machalaba C C, Seifman R, et al. Infectious disease and economics: The case for considering multi-sectoral impacts. One Health, 2019,7:100080. DOI: 10.1016/j.onehlt.2018.100080. doi: 10.1016/j.onehlt.2018.100080 pmid: 30671528
[25]	Siu A, Wong Y C R. Economic impact of SARS: The case of Hong Kong. Asian Economic Papers, 2004,3(1):62-83.
[26]	Duan H B, Wang S Y, Yang C H. Coronavirus: limit short-term economic damage. Nature, 2020,578(7796):515. doi: 10.1038/d41586-020-00517-3 pmid: 32099119
[27]	Lee G O M, Warner M. Human resources, labour markets and unemployment: The impact of the SARS epidemic on the service sector in Singapore. Asia Pacific Business Review, 2006,12(4):507-527. doi: 10.1080/13602380600571443
[28]	Zhou Yiming, Jiang Cailiang. Comparison and analysis of influence of SARS and COVID-19 on passenger and freight transportation in China. Transport Research, 2020,6(1):24-32.
	[ 周一鸣, 姜彩良. “非典”和新冠肺炎疫情对我国客货运输的影响比较与分析. 交通运输研究, 2020,6(1):24-32.]
[29]	Zhu Kunfu, Gao Xiang, Yang Cuihong, et al. The COVID-19 shock on global production chains and risk of accelerated China's industrial chains outflow. Bulletin of Chinese Academy of Sciences, 2020,35(3):283-288.
	[ 祝坤福, 高翔, 杨翠红, 等. 新冠肺炎疫情对全球生产体系的冲击和我国产业链加速外移的风险分析. 中国科学院院刊, 2020,35(3):283-288.]
[30]	Yang H Y, Chen K H. A general equilibrium analysis of the economic impact of a tourism crisis: A case study of the SARS epidemic in Taiwan. Journal of Policy Research in Tourism, Leisure and Events, 2009,1(1):37-60.
[31]	Smith R D, Keogh-Brown M R. Macroeconomic impact of a mild influenza pandemic and associated policies in Thailand, South Africa and Uganda: A computable general equilibrium analysis. Influenza and Other Respiratory Viruses, 2013,7(6):1400-1408. doi: 10.1111/irv.12137 pmid: 23822177
[32]	Roos E. Modelling the impact of HIV/AIDS: A literature review. Melbourne: The Centre of Policy Studies (CoPS), 2013.
[33]	Kambou G, Devarajan S, Over M. The economic impact of AIDS in an African country: Simulations with a computable general equilibrium model of Cameroon. Journal of African economies, 1992,1(1):109-130.
[34]	Xie W, Li N, Wu J, et al. Modeling economic costs of disasters and recovery involving positive effects of reconstruction: Analysis using a dynamic CGE model. Natural Hazards and Earth System Sciences Discussions, 2013,1(6):6357-6398.
[35]	Gohin A, Rault A. Assessing the economic costs of a foot and mouth disease outbreak on Brittany: A dynamic computable general equilibrium analysis. Food Policy, 2013,39:97-107.
[36]	Dixon P B, Lee B, Muehlenbeck T, et al. Effects on the US of an H1N1 epidemic: Analysis with a quarterly CGE model. Journal of Homeland Security and Emergency Management, 2010,7(1):1547-7355.
[37]	Horridge M. The TERM model and its database//Economic Modeling of Water. Dordrecht: Springer Netherlands, 2012: 13-35.
[38]	Jiang Ling, Zhang Wei, Liu Yu. Assessment of indirect economic loss of flood disaster based on multi-regional CGE model: A case of Yangtze river delta basin. Management Review, 2016,28(6):25-31.
	[ 姜玲, 张伟, 刘宇. 基于多区域CGE模型的洪灾间接经济损失评估: 以长三角流域为例. 管理评论, 2016,28(6):25-31.]
[39]	Horridge M, Wittwer G. SinoTERM, a multi-regional CGE model of China. China Economic Review, 2008,19(4):628-634.
[40]	Xie Wei, Li Ning, Hu Aijun, et al. Assessing the economic impact of environmental disaster: A computable general equilibrium analysis. China Population Resources and Environment, 2012,22(11):26-31.
	[ 解伟, 李宁, 胡爱军, 等. 基于CGE模型的环境灾害经济影响评估: 以湖南雪灾为例. 中国人口·资源与环境, 2012,22(11):26-31.]
[41]	Dixon P, Rimmer M T. Simulating the US Recession with and without the Obama package: the role of excess capacity. Melbourne: The Centre of Policy Studies (CoPS), 2010.
[42]	Li Huizhi, Yi Dali, Li Gaoming. Comparative study on assessment methods of epidemic risk of COVID-19 in Chongqing. Journal of Chongqing Medical University, 2020,45(7):870-875.
	[ 李辉智, 易大莉, 李高明. 重庆市新型冠状病毒肺炎疫情风险分区分级评估方法比较研究. 重庆医科大学学报, 2020,45(7):870-875.]
[43]	Tu Hongwei, Zhong Ruoxi, Xiao Jianpeng, et al. Region and risk-specific strategies for coronavirus disease 2019 epidemic control and prevention in Guangdong province: A risk assessment study. Chinese Journal of Public Health, 2020,36(4):486-492.
	[ 屠鸿薇, 钟若曦, 肖建鹏, 等. 广东省新型冠状病毒肺炎分区分级防控策略研究. 中国公共卫生, 2020,36(4):486-492.]
[44]	Verikios G, McCaw J, McVernon J, et al. H1N1 influenza in Australia and its macroeconomic effects. Melbourne: The Centre of Policy Studies (CoPS), 2010.
[45]	Verikios G, Sullivan M, Stojanovski P, et al. The global economic effects of pandemic influenza. Melbourne: The Centre of Policy Studies (CoPS), 2011.
[46]	Zhou Meifang, Liu Yu, Zhang Jinzhu, et al. COVID-19 and its macroeconomic countermeasures in China: Impact and effectiveness. The Journal of Quantitative & Technical Economics, 2020,37(8):24-41.
	[ 周梅芳, 刘宇, 张金珠, 等. 新冠肺炎疫情的宏观经济效应及其应对政策有效性研究. 数量经济技术经济研究, 2020,37(8):24-41.]
[47]	Zhou Jian. Impacts and policy suggestions of COVID-19 on transportation. Transport Research, 2020,6(1):13-18.
	[ 周健. 新冠肺炎疫情对交通运输行业的影响及政策建议. 交通运输研究, 2020,6(1):13-18.]
[48]	KPMG China. The impact of coVID-19 on China's macro economy. http://www.china-cer.com.cn/hongguanjingji/202002072162.html, 2020-02-27.
	[ 毕马威中国. 新冠肺炎疫情对中国宏观经济的影响. http://www.china-cer.com.cn/hongguanjingji/202002072162.html, 2020-02-27.]
[49]	Wang Wei, Li Zimo, Wang Xiaowei. Research on the industrial synergetic development pattern of the Yangtze River Economic Belt. Modernization of Management, 2017,37(1):23-25.
	[ 王维, 李孜沫, 王晓伟. 长江经济带产业协同发展格局研究. 管理现代化, 2017,37(1):23-25.]

	确诊人数 (人)	总人口数 (万人)	一级到二级(d)	二级到三级(d)	一级到三级(d)	流出人口占比(%)	分级
湖北省	68139	5917.00	99	44	143	0.00	1
广东省	1758	11346.00	32	75	107	8.07	2
浙江省	1278	5737.00	39	21	60	2.97	2
河南省	1276	9605.00	54	47	101	19.22	2
湖南省	1019	6898.83	47	21	68	16.82	2
安徽省	991	6323.60	32	19	51	6.74	2
北京市	935	2154.20	97	37	134	1.44	2
江西省	935	4647.59	48	8	56	7.86	2
上海市	913	2424.00	60	46	106	1.36	2
黑龙江省	948	3773.00	39	21	60	0.45	3
重庆市	583	3101.79	46	14	60	8.40	3
新疆维吾尔自治区	902	2487.00	31	11	42	0.24	3
江苏省	665	8050.70	31	32	63	3.84	3
山东省	831	10047.23	44	59	103	2.18	3
四川省	656	8341.00	33	28	61	4.14	3
福建省	384	3941.01	33	22	55	2.52	3
陕西省	373	3864.39	0	0	34	3.28	3
海南省	171	934.32	0	0	32	0.89	3
河北省	365	7556.29	97	37	134	1.87	4
内蒙古自治区	261	2533.98	0	0	31	0.26	4
天津市	230	1560.00	97	37	134	0.23	4
辽宁省	263	4358.99	0	0	28	0.46	4
广西壮族自治区	257	4925.99	0	0	31	1.86	4
山西省	203	3718.36	30	15	45	1.20	4
甘肃省	169	2637.27	0	0	27	0.71	4
云南省	199	4829.99	0	0	31	1.12	4
宁夏回族自治区	75	688.00	34	68	102	0.07	4
吉林省	157	2704.00	32	23	55	0.28	4
贵州省	147	3600.00	0	0	30	1.40	4
青海省	18	603.21	0	0	32	0.08	4
西藏自治区	1	344.00	36	22	58	0.02	4

情景设计	影响情景一	影响情景二 (+情景一)	影响情景三 (+情景二)	影响情景四 (+情景三)	适应性情景一 (+情景四)	适应性情景二 (+情景四)
冲击条件	劳动供给下降	交通管制	各地区产业需求下降一致：	各地区出口商品减少幅度均等	企业复工复产	政府支出
			a.卫生与社会工作
			b.信息传输与技术
			c.住宿和餐饮
			d.批发和零售
			f.文娱
一级地区	-3.20%	-53%	a.18.2%	-1%	1.12%	13.08%
一级地区	-3.20%	-53%	b.9.7%	-1%	1.12%	13.08%
二级地区	-2.40%	-34%	c.-18.0%	-1%	0.96%	18.70%
三级地区	-1.60%	-30%	d.-7.5%	-1%	0.64%	15.00%
四级地区	-1.20%	-26%	f.-9.0%	-1%	0.48%	10.00%

宏观指标	GDP	CPI	就业	家庭消费	进口	出口
一级地区	Ⅰ-0.768	Ⅰ1.101	Ⅰ-1.387	Ⅰ-2.575	Ⅰ0.142	Ⅰ-0.935
	Ⅱ-0.786	Ⅱ1.243	Ⅱ-1.381	Ⅱ-2.432	Ⅱ-0.331	Ⅱ-0.939
	Ⅲ-0.796	Ⅲ1.113	Ⅲ-1.339	Ⅲ-2.710	Ⅲ-0.544	Ⅲ-0.734
	Ⅳ-0.810	Ⅳ1.010	Ⅳ-1.347	Ⅳ-2.178	Ⅳ-0.686	Ⅳ-0.744
二级地区	Ⅰ-0.546	Ⅰ0.910	Ⅰ-1.045	Ⅰ-2.577	Ⅰ0.035	Ⅰ-0.644
	Ⅱ-0.546	Ⅱ0.979	Ⅱ-1.044	Ⅱ-2.514	Ⅱ-0.036	Ⅱ-0.629
	Ⅲ-0.514	Ⅲ1.004	Ⅲ-0.881	Ⅲ-2.408	Ⅲ0.100	Ⅲ-0.456
	Ⅳ-0.530	Ⅳ0.897	Ⅳ-0.894	Ⅳ-1.860	Ⅳ-0.041	Ⅳ-0.465
三级地区	Ⅰ-0.356	Ⅰ0.882	Ⅰ-0.676	Ⅰ-3.032	Ⅰ0.142	Ⅰ-0.527
	Ⅱ-0.355	Ⅱ0.962	Ⅱ-0.671	Ⅱ-2.951	Ⅱ0.060	Ⅱ-0.519
	Ⅲ-0.366	Ⅲ0.755	Ⅲ-0.573	Ⅲ-3.194	Ⅲ0.115	Ⅲ-0.280
	Ⅳ-0.378	Ⅳ0.654	Ⅳ-0.581	Ⅳ-2.141	Ⅳ-0.010	Ⅳ-0.299
四级地区	Ⅰ-0.236	Ⅰ0.870	Ⅰ-0.479	Ⅰ-3.073	Ⅰ0.342	Ⅰ-0.417
	Ⅱ-0.240	Ⅱ0.929	Ⅱ-0.478	Ⅱ-3.021	Ⅱ0.267	Ⅱ-0.394
	Ⅲ-0.284	Ⅲ0.647	Ⅲ-0.402	Ⅲ-3.380	Ⅲ0.256	Ⅲ-0.077
	Ⅳ-0.294	Ⅳ0.549	Ⅳ-0.408	Ⅳ-2.216	Ⅳ0.133	Ⅳ-0.091

产业部门	一级地区	二级地区	三级地区	四级地区
纺织品	Ⅰ-1.852	Ⅰ-1.329	Ⅰ-1.061	Ⅰ-0.943
	Ⅱ-1.846	Ⅱ-1.320	Ⅱ-1.051	Ⅱ-0.908
	Ⅲ-1.708	Ⅲ-1.105	Ⅲ-0.527	Ⅲ-0.179
	Ⅳ-1.744	Ⅳ-1.132	Ⅳ-0.563	Ⅳ-0.218
纺织服装鞋帽皮革羽绒及其制品	Ⅰ-1.283	Ⅰ-1.105	Ⅰ-0.896	Ⅰ-0.732
	Ⅱ-1.134	Ⅱ-1.066	Ⅱ-0.860	Ⅱ-0.662
	Ⅲ-1.244	Ⅲ-0.935	Ⅲ-0.432	Ⅲ-0.054
	Ⅳ-1.264	Ⅳ-0.959	Ⅳ-0.465	Ⅳ-0.086
木材加工品和家具	Ⅰ-1.316	Ⅰ-0.981	Ⅰ-0.712	Ⅰ-0.600
	Ⅱ-1.303	Ⅱ-0.972	Ⅱ-0.708	Ⅱ-0.577
	Ⅲ-1.356	Ⅲ-1.025	Ⅲ-0.585	Ⅲ-0.352
	Ⅳ-1.380	Ⅳ-1.045	Ⅳ-0.611	Ⅳ-0.379
造纸印刷和文教体育用品	Ⅰ-1.361	Ⅰ-1.008	Ⅰ-0.746	Ⅰ-0.642
	Ⅱ-1.380	Ⅱ-1.016	Ⅱ-0.758	Ⅱ-0.635
	Ⅲ-1.411	Ⅲ-1.056	Ⅲ-0.595	Ⅲ-0.353
	Ⅳ-1.437	Ⅳ-1.078	Ⅳ-0.621	Ⅳ-0.380
通信设备、计算机和其他电子设备	Ⅰ-1.291	Ⅰ-1.152	Ⅰ-0.957	Ⅰ-0.790
	Ⅱ-1.259	Ⅱ-1.157	Ⅱ-0.962	Ⅱ-0.785
	Ⅲ-1.281	Ⅲ-1.123	Ⅲ-0.850	Ⅲ-0.638
	Ⅳ-1.338	Ⅳ-1.168	Ⅳ-0.893	Ⅳ-0.662
仪器仪表	Ⅰ-1.128	Ⅰ-0.954	Ⅰ-0.804	Ⅰ-0.719
	Ⅱ-1.154	Ⅱ-0.965	Ⅱ-0.819	Ⅱ-0.730
	Ⅲ-1.130	Ⅲ-0.927	Ⅲ-0.700	Ⅲ-0.593
	Ⅳ-1.137	Ⅳ-0.936	Ⅳ-0.705	Ⅳ-0.590
其他制造产品	Ⅰ-1.385	Ⅰ-0.880	Ⅰ-0.730	Ⅰ-0.602
	Ⅱ-1.409	Ⅱ-0.876	Ⅱ-0.728	Ⅱ-0.590
	Ⅲ-1.436	Ⅲ-0.895	Ⅲ-0.652	Ⅲ-0.488
	Ⅳ-1.484	Ⅳ-0.921	Ⅳ-0.681	Ⅳ-0.511

产业部门	一级地区	二级地区	三级地区	四级地区
批发和零售	Ⅰ-0.875	Ⅰ-0.667	Ⅰ-0.460	Ⅰ-0.293
	Ⅱ-0.904	Ⅱ-0.662	Ⅱ-0.454	Ⅱ-0.285
	Ⅲ-1.213	Ⅲ-2.117	Ⅲ-2.134	Ⅲ-2.478
	Ⅳ-1.226	Ⅳ-2.128	Ⅳ-2.146	Ⅳ-2.486
交通运输、仓储和邮政	Ⅰ-0.706	Ⅰ-0.574	Ⅰ-0.422	Ⅰ-0.347
	Ⅱ-1.261	Ⅱ-0.749	Ⅱ-0.610	Ⅱ-0.523
	Ⅲ-1.277	Ⅲ-0.727	Ⅲ-0.598	Ⅲ-0.531
	Ⅳ-1.293	Ⅳ-0.744	Ⅳ-0.613	Ⅳ-0.545
住宿和餐饮	Ⅰ-0.671	Ⅰ-0.601	Ⅰ-0.387	Ⅰ-0.360
	Ⅱ-0.472	Ⅱ-0.551	Ⅱ-0.333	Ⅱ-0.314
	Ⅲ-4.833	Ⅲ-4.146	Ⅲ-4.221	Ⅲ-3.770
	Ⅳ-4.827	Ⅳ-4.146	Ⅳ-4.218	Ⅳ-3.768
信息传输、软件和信息技术服务	Ⅰ-0.419	Ⅰ-0.330	Ⅰ-0.177	Ⅰ-0.118
	Ⅱ-0.407	Ⅱ-0.314	Ⅱ-0.160	Ⅱ-0.108
	Ⅲ1.034	Ⅲ1.175	Ⅲ1.433	Ⅲ1.458
	Ⅳ1.034	Ⅳ1.173	Ⅳ1.433	Ⅳ1.458
租赁和商务服务	Ⅰ-0.927	Ⅰ-0.840	Ⅰ-0.582	Ⅰ-0.514
	Ⅱ-0.970	Ⅱ-0.858	Ⅱ-0.605	Ⅱ-0.529
	Ⅲ-1.053	Ⅲ-1.020	Ⅲ-0.721	Ⅲ-0.650
	Ⅳ-1.054	Ⅳ-1.029	Ⅳ-0.724	Ⅳ-0.655
卫生和社会工作	Ⅰ-0.180	Ⅰ-0.139	Ⅰ-0.026	Ⅰ0.018
	Ⅱ0.144	Ⅱ-0.049	Ⅱ0.070	Ⅱ0.100
	Ⅲ10.606	Ⅲ9.281	Ⅲ9.406	Ⅲ8.736
	Ⅳ10.610	Ⅳ9.283	Ⅳ9.411	Ⅳ8.740
文化、体育和娱乐	Ⅰ-0.610	Ⅰ-0.717	Ⅰ-0.471	Ⅰ-0.390
	Ⅱ-0.425	Ⅱ-0.702	Ⅱ-0.447	Ⅱ-0.367
	Ⅲ-3.472	Ⅲ-2.346	Ⅲ-2.324	Ⅲ-2.024
	Ⅳ-3.457	Ⅳ-2.341	Ⅳ-2.316	Ⅳ-2.016

The effects of COVID-19 epidemic on regional economy and industry in China

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 49

Related Articles 0

Metrics

Comments