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中国省级层面经济政策不确定性指数简介

Economic policy uncertainty (EPU) index for China’s 31 provinces

  • Contributors:Jian Yu, Xunpeng Shi, Dongmei Guo, Longjian Yang
  • Abstract: Following the methodology of Baker et al. (2016), we constructed a set of EPU indexes at the provincial level in China. First, we selected the daily newspapers of 31 provinces in China as the source for news media reports. Second, we made the following provisions on the definition of the EPU index obtained through keyword searches: if there was at least one economic policy keyword and at least one keyword expressing uncertainty, the news article was considered a target article. Third, we calculated the annual total number of target articles for each of the 31 provinces, and divided it by the total number of target articles in the newspapers that contained the keyword “economy” in that year, to obtain the article proportion of the EPU in the 31 provinces. Fourth, we standardized the proportion of EPU articles in the 31 provinces by using the standard deviation of each province to obtain the EPU index for the 31 provinces.

Mr. Jian Yu and his collaborators present a provincial EPU index to characterize the province-level EPU for China’s 31 provinces from 2000 to 2017. Please cite the following papers when using this data:

  • Yu, J., Shi, X., Guo, D., Yang, L., 2021. Economic policy uncertainty (EPU) and firm carbon emissions: Evidence using a China provincial EPU index, Energy Economics, Vol. 94, No.105071.

经中央财经大学俞剑老师授权,CnOpenData建立了该数据的展示区及数据索引,便于学者浏览。

数据下载请点击Economic policy uncertainty (EPU) index for China’s 31 provinces


数据应用指南

Comparison of keywords criteria between Baker’s China EPU and China’s provincial EPU

Keywords criteriaBaker’s China EPUChina’s provincial EPU
Economiceconomy, economic经济
Policypolicy, spending, budget, political, interest rate, reform, government, Beijing, authorities, tax, regulation, regulatory, Central Bank, People’s Bank of China, PBOC, deficit, WTO(促进、刺激、扩大)消费、调整利率/利率调整、(扩大、减少)投资、(增加、减少)税收/减税/税收政策/财税改革、财政支出/财政体制/财政刺激、货币/货币政策、扩大出口、增值税/消费税/企业所得税/个人所得税/房产税/关税、转移支付、地方债务、养老金、政策试点、加强监管
Uncertaintyuncertain, uncertainty不确定、预测、预计、试点、试行、示范、或许、可能、有待、有望
CountryChina, Chinese中国,我国,国内

时间区间

2000-2017


字段展示

Economic policy uncertainty (EPU) index
province_code
province_name
year
China's provincial EPU index

样本数据

province_codeprovince_nameyearChina's provincial EPU index
11北京201768.1627655
12天津2017139.3325806
13河北201779.15668488
14山西2017189.1946869
15内蒙古201776.54681396
21辽宁201791.38005066
22吉林201789.98912048
23黑龙江20177.519604683
31上海201780.68917847
32江苏201747.75826263
33浙江201797.14289093
34安徽2017111.6440353
35福建2017160.7241058
36江西2017102.082283
37山东201778.49134827
41河南201796.05151367
42湖北201799.25975037
43湖南201754.22574615
44广东201756.38425064
45广西2017118.8451614
46海南201757.19842529
50重庆2017107.0997543
51四川2017118.5892792
52贵州201790.86172485
53云南201738.87081146
54西藏2017163.8305817
61陕西201799.39268494
62甘肃2017137.8933868
63青海201779.26584625
64宁夏2017102.7975769
65新疆201746.38435364
11北京201647.85101318
12天津2016143.1006927
13河北2016115.6779938
14山西201698.37980652
15内蒙古2016108.1842651
21辽宁201680.5438385
22吉林2016104.2610016
23黑龙江201681.40262604
31上海2016128.4771423
32江苏201643.71399307
33浙江201690.4801178
34安徽2016125.6614151
35福建201694.90132904
36江西2016113.8047638
37山东201655.01879883
41河南201686.23591614
42湖北2016139.5249634
43湖南201658.70393753
44广东201657.20541382

参考文献

  • Yu, J., Shi, X., Guo, D., Yang, L., 2021. Economic policy uncertainty (EPU) and firm carbon emissions: Evidence using a China provincial EPU index, Energy Economics, Vol. 94, No.105071.

数据更新频率

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