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.
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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 criteria | Baker’s China EPU | China’s provincial EPU |
---|---|---|
Economic | economy, economic | 经济 |
Policy | policy, 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 |
Uncertainty | uncertain, uncertainty | 不确定、预测、预计、试点、试行、示范、或许、可能、有待、有望 |
Country | China, 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_code | province_name | year | China's provincial EPU index |
---|---|---|---|
11 | 北京 | 2017 | 68.1627655 |
12 | 天津 | 2017 | 139.3325806 |
13 | 河北 | 2017 | 79.15668488 |
14 | 山西 | 2017 | 189.1946869 |
15 | 内蒙古 | 2017 | 76.54681396 |
21 | 辽宁 | 2017 | 91.38005066 |
22 | 吉林 | 2017 | 89.98912048 |
23 | 黑龙江 | 2017 | 7.519604683 |
31 | 上海 | 2017 | 80.68917847 |
32 | 江苏 | 2017 | 47.75826263 |
33 | 浙江 | 2017 | 97.14289093 |
34 | 安徽 | 2017 | 111.6440353 |
35 | 福建 | 2017 | 160.7241058 |
36 | 江西 | 2017 | 102.082283 |
37 | 山东 | 2017 | 78.49134827 |
41 | 河南 | 2017 | 96.05151367 |
42 | 湖北 | 2017 | 99.25975037 |
43 | 湖南 | 2017 | 54.22574615 |
44 | 广东 | 2017 | 56.38425064 |
45 | 广西 | 2017 | 118.8451614 |
46 | 海南 | 2017 | 57.19842529 |
50 | 重庆 | 2017 | 107.0997543 |
51 | 四川 | 2017 | 118.5892792 |
52 | 贵州 | 2017 | 90.86172485 |
53 | 云南 | 2017 | 38.87081146 |
54 | 西藏 | 2017 | 163.8305817 |
61 | 陕西 | 2017 | 99.39268494 |
62 | 甘肃 | 2017 | 137.8933868 |
63 | 青海 | 2017 | 79.26584625 |
64 | 宁夏 | 2017 | 102.7975769 |
65 | 新疆 | 2017 | 46.38435364 |
11 | 北京 | 2016 | 47.85101318 |
12 | 天津 | 2016 | 143.1006927 |
13 | 河北 | 2016 | 115.6779938 |
14 | 山西 | 2016 | 98.37980652 |
15 | 内蒙古 | 2016 | 108.1842651 |
21 | 辽宁 | 2016 | 80.5438385 |
22 | 吉林 | 2016 | 104.2610016 |
23 | 黑龙江 | 2016 | 81.40262604 |
31 | 上海 | 2016 | 128.4771423 |
32 | 江苏 | 2016 | 43.71399307 |
33 | 浙江 | 2016 | 90.4801178 |
34 | 安徽 | 2016 | 125.6614151 |
35 | 福建 | 2016 | 94.90132904 |
36 | 江西 | 2016 | 113.8047638 |
37 | 山东 | 2016 | 55.01879883 |
41 | 河南 | 2016 | 86.23591614 |
42 | 湖北 | 2016 | 139.5249634 |
43 | 湖南 | 2016 | 58.70393753 |
44 | 广东 | 2016 | 57.20541382 |
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.
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