Chinese Journal of Management Science ›› 2025, Vol. 33 ›› Issue (7): 79-91.doi: 10.16381/j.cnki.issn1003-207x.2022.0229
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Hongfeng Peng(), Shiqun Ma, Xuetong Wang
Received:
2022-02-08
Revised:
2024-03-05
Online:
2025-07-25
Published:
2025-08-06
Contact:
Hongfeng Peng
E-mail:fhpeng@whu.edu.cn
CLC Number:
Hongfeng Peng, Shiqun Ma, Xuetong Wang. Research on Cross-country Dynamic Spillover Effect of Economic Policy Uncertainty: From the Perspective of Network Multi-layer Structure[J]. Chinese Journal of Management Science, 2025, 33(7): 79-91.
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子网络 | 2008年EPU溢出子网络 | 2010年EPU溢出子网络 |
---|---|---|
W1 | 瑞典,英国,中国 | 中国 |
W2 | 美国,西班牙,意大利,希腊,澳大利亚,荷兰,俄罗斯,印度 | 美国,西班牙,加拿大,日本,巴西,中国香港,法国,俄罗斯,印度 |
W3 | 加拿大,爱尔兰,法国,巴西,韩国,中国香港 | 意大利,爱尔兰,希腊,瑞典,荷兰,韩国,德国 |
W4 | 德国,日本 | 澳大利亚,英国 |
2018年EPU溢出子网络 | 2020年EPU溢出子网络 | |
W1 | 德国,瑞典 | 德国,瑞典 |
W2 | 美国,西班牙,意大利,希腊,加拿大,日本,英国,中国, 爱尔兰,荷兰,俄罗斯,印度 | 美国,西班牙,意大利,加拿大,日本,英国,中国,法国,荷兰,俄罗斯,巴西 |
W3 | 法国,韩国,巴西 | 爱尔兰,希腊 |
W4 | 澳大利亚,中国香港 | 澳大利亚,中国香港,印度,韩国 |
[1] | Gulen H, Ion M. Policy uncertainty and corporate investment[J]. The Review of Financial Studies, 2016, 29(3): 523-564. |
[2] | 顾夏铭, 陈勇民, 潘士远. 经济政策不确定性与创新——基于我国上市公司的实证分析[J]. 经济研究, 2018, 53(2): 109-123. |
Gu X M, Chen Y M, Pan S Y. Economic policy uncertainty and innovation: Evidence from listed companies in China[J]. Economic Research Journal, 2018, 53(2): 109-123. | |
[3] | 李政, 孙丽玲, 王子美. 基于关联网络的经济政策不确定性全球溢出效应研究[J]. 国际金融研究, 2020(4): 54-64. |
Li Z, Sun L L, Wang Z M. A study on global spillover effect of economic policy uncertainty from the perspective of network[J]. Studies of International Finance, 2020(4): 54-64. | |
[4] | 王正新, 姚培毅. 中国经济政策不确定性的跨国动态溢出效应[J]. 中国管理科学, 2019, 27(5): 78-85. |
Wang Z X, Yao P Y. Dynamic spillovers effects of economic policy uncertainty of China[J]. Chinese Journal of Management Science, 2019, 27(5): 78-85. | |
[5] | 张喜艳, 陈乐一. 经济政策不确定性的溢出效应及形成机理研究[J]. 统计研究, 2019, 36(1): 115-128. |
Zhang X Y, Chen L Y. A study on the spillover effect and its formation mechanism of economic policy uncertainty[J]. Statistical Research, 2019, 36(1): 115-128. | |
[6] | 许和连, 孙天阳, 成丽红. “一带一路”高端制造业贸易格局及影响因素研究——基于复杂网络的指数随机图分析[J]. 财贸经济, 2015,36(12): 74-88. |
Xu H L, Sun T Y, Cheng L H. Trade patterns and influence factors of high-end manufacturing on “One Belt and One Road”: A study based on the exponential random graph models[J]. Finance & Trade Economics, 2015,36(12): 74-88. | |
[7] | Milo R, Shen-Orr S, Itzkovitz S, et al. Network motifs: Simple building blocks of complex networks[J]. Science, 2002, 298(5594): 824-827. |
[8] | 詹淼华. “一带一路”沿线国家农产品贸易的竞争性与互补性——基于社会网络分析方法[J]. 农业经济问题, 2018,39(2): 103-114. |
Zhan M H. Research on the competitiveness and complementarities of agricultural product trade of countries along “the Belt and Road”: Based on social network analysis method[J]. Issues in Agricultural Economy, 2018,39(2): 103-114. | |
[9] | Born B, Pfeifer J. Policy risk and the business cycle[J]. Journal of Monetary Economics, 2014, 68: 68-85. |
[10] | 林凌, 胡冰川, 孙艳华. 全球经济政策不确定性对中国经济增长的时变性影响效应研究——基于时域与频域视角分析[J]. 中国软科学, 2022(12): 1-12. |
Lin L, Hu B C, Sun Y H. Time-varying effect of global economic policy uncertainty on China’s economic growth: On the time domain and frequency domain perspectives[J]. China Soft Science, 2022(12): 1-12. | |
[11] | 吴鑫育, 谢海滨, 马超群. 经济政策不确定性与人民币汇率波动率——基于CARR-MIDAS模型的实证研究[J]. 中国管理科学, 2024, 32(8): 1-14. |
Wu X Y, Xie H B, Ma C Q. Economic policy uncertainty and renminbi exchange rate volatility: Evidence from CARR-MIDAS model[J]. Chinese Journal of Management Science, 2024, 32(8): 1-14. | |
[12] | 刘浩杰, 刘玚. 经济政策不确定性、空间关联与短期资本流动波动[J].世界经济研究,2023(1):86-101+136. |
Liu H J, Liu Y. Economic policy uncertainty, spatial connectedness and short-term capital flow volatility[J].World Economy Studies, 2023(1):86-101+136. | |
[13] | Pástor L, Veronesi P. Uncertainty about government policy and stock prices[J]. The Journal of Finance, 2012, 67(4): 1219-1264. |
[14] | 石自忠, 王明利, 胡向东. 经济政策不确定性与中国畜产品价格波动[J].中国农村经济,2016(8):42-55. |
Shi Z Z, Wang M L, Hu X D. Uncertainty of economic policy and price fluctuation of animal products in China[J]. Chinese Rural Economy, 2016(8): 42-55. | |
[15] | 杨科, 郭亚飞, 田凤平. 经济政策不确定性冲击下全球系统性金融风险的跨市场传染——基于TVP-FAVAR和TVP-VAR模型的研究[J]. 统计研究, 2023, 40(7): 70-84. |
Yang K, Guo Y F, Tian F P. Cross-market contagion of global systemic financial risk under the impact of economic policy uncertainty: An analysis based on TVP-FAVAR and TVP-VAR model[J]. Statistical Research, 2023, 40(7): 70-84. | |
[16] | 宫晓莉, 刘建民, 熊熊, 等. 经济政策不确定性与国际金融网络间的尾部风险传染研究[J]. 中国管理科学, 2023, 31(7): 78-90. |
Gong X L, Liu J M, Xiong X, et al. Research on the uncertainty of economic policy and the contagion of tail risk between global financial networks[J]. Chinese Journal of Management Science, 2023, 31(7): 78-90. | |
[17] | Klößner S, Sekkel R. International spillovers of policy uncertainty[J]. Economics Letters, 2014, 124(3): 508-512. |
[18] | 肖小勇, 黄静, 田清淞. 经济政策不确定性的国际关联及其解释[J]. 国际贸易问题, 2019(4): 76-91. |
Xiao X Y, Huang J, Tian Q S. International connectedness of economic policy uncertainty and its explanation[J]. Journal of International Trade, 2019(4): 76-91. | |
[19] | Diebold F X, Yilmaz K. On the network topology of variance decompositions: Measuring the connectedness of financial firms[J]. Journal of Econometrics, 2014, 182(1): 119-134. |
[20] | Wasserman S, Faust K. Social network analysis: Methods and applications[J]. Cambridge University Press Google Schola, 1994(2): 131-134. |
[21] | 刘华军, 彭莹, 贾文星, 等. 价格信息溢出、空间市场一体化与地区经济差距[J]. 经济科学, 2018(3): 49-60. |
Liu H J, Peng Y, Jia W X, et al. Price information overflow, spatial market integration and regional economic disparity[J].Economic Science,2018(3): 49-60. | |
[22] | 周晓唯, 闫寒, 颜蒙. 中国经济政策不确定性的溢出效应研究[J]. 中南财经政法大学学报, 2019(6): 42-51. |
Zhou X W, Yan H, Yan M. On the spillovers of Chinese economic policy uncertainty[J]. Journal of Zhongnan University of Economics and Law, 2019(6): 42-51. | |
[23] | 李政, 朱明皓, 温博慧. 经济政策不确定性的跨国溢出效应及其形成机理[J]. 财贸经济, 2021, 42(1): 92-106. |
Li Z, Zhu M H, Wen B H. The cross-country spillover effect of economic policy uncertainty and the working mechanism[J]. Finance & Trade Economics, 2021, 42(1): 92-106. | |
[24] | Diebold F X, Yilmaz K. Better to give than to receive: Predictive directional measurement of volatility spillovers[J]. International Journal of Forecasting, 2012, 28(1): 57-66. |
[25] | Kolaczyk E D, Csárdi G. Statistical analysis of network data with R[M]. New York: Springer, 2014. |
[26] | 彭红枫, 王雪童, 马世群. RCEP成员国农产品贸易网络的动态结构及其影响因素分析[J]. 统计研究, 2024, 41(1): 71-84. |
Peng H F, Wang X T, Ma S Q. Analysis on the dynamic structure and influencing factors of agricultural product trade network of RCEP[J].Statistical Research, 2024, 41(1): 71-84. | |
[27] | Wang X T, Fang F, Ma S Q, et al. Dynamic volatility spillover among cryptocurrencies and energy markets: An empirical analysis based on a multilevel complex network[J]. The North American Journal of Economics and Finance, 2024, 69: 102035. |
[28] | Baker S R, Bloom N, Davis S J. Measuring economic policy uncertainty[J]. The Quarterly Journal of Economics, 2016, 131(4): 1593-1636. |
[29] | 刘建. 基于社会网络的国际原油贸易格局演化研究[J].国际贸易问题, 2013(12): 48-57. |
Liu J. Research on international crude oil trade pattern based on social network theory[J]. Journal of International Trade, 2013(12): 48-57. | |
[30] | 马述忠, 任婉婉, 吴国杰. 一国农产品贸易网络特征及其对全球价值链分工的影响——基于社会网络分析视角[J]. 管理世界, 2016(3): 60-72. |
Ma S Z, Ren W W, Wu G J. The characteristics of agricultural trade network and its effects on the global value chain division: A study based on social network analysis[J]. Journal of Management World, 2016(3): 60-72. | |
[31] | Krackhardt D. Predicting with networks: Nonparametric multiple regression analysis of dyadic data[J]. Social Networks, 1988, 10(4):359-381. |
[32] | 刘军. QAP:测量“关系”之间关系的一种方法[J]. 社会, 2007,27(4): 164-174+209. |
Liu J. QAP: A unique method of measuring “relationships” in relational data[J]. Society, 2007,27(4): 164-174+209. | |
[33] | 梁琦. 空间经济学:过去、现在与未来——兼评《空间经济学:城市、区域与国际贸易》[J]. 经济学(季刊), 2005,5(3): 1067-1086. |
Liang Q. Spatial economy: Past, present & future—In review of the spatial economy: Cities, regions and international trade[J]. China Economic Quarterly, 2005,5(3): 1067-1086. |
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