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Global Politico-Economic Dynamics during a Local Conflict: Reciprocal Patterns of Cooperation and Sanctions

  • Reinhard A. Weisser ORCID logo EMAIL logo

Abstract

Employing global daily news coverage on interactions between stakeholders in G20 countries, this research offers a near-real-time analysis of changing interaction patterns between Russia and other G20 economies after the onset of open military conflict. Building on an event study over eight months, further analyses of reciprocal response dynamics point to potentially costly short-term consequences of sanctions, such as the breakdown and diversion of international cooperation amongst major economies in a broader sense. Once such a reciprocal cooperation decay has set in, re-establishing international cooperation between major societal actors may take considerable time.


Corresponding author: Reinhard A. Weisser, Department of Economics, Nottingham Business School, Nottingham Trent University, Nottingham, NG1 4BU, UK, E-mail:

Appendix
Figure A.1: 
Interaction mode substitution. Results are based on Eq. (1). Reported marginal effects represent the change of substitution probabilities for 




P




a


1





(

m
|


a


2



)


${P}_{{a}_{1}}(m\vert {a}_{2})$


 in the time since 24/02/2022 compared to the two months prior. 95% confidence intervals are depicted.
Figure A.1:

Interaction mode substitution. Results are based on Eq. (1). Reported marginal effects represent the change of substitution probabilities for P a 1 ( m | a 2 ) in the time since 24/02/2022 compared to the two months prior. 95% confidence intervals are depicted.

Table A.1:

Variable overview and descriptive statistics.

Variable Description N min max mean 95th pctile std. dev.
Reciprocal responses (A1 @ A2) Outcome variables, informing how primary actor responds to secondary actor today
   Verbal or material cooperation Substitution probability, P a 1 , t VMCoop | a 2 90,440 0 1 0.674 1 0.353
Attention probability, P G 19 ( EU 24 ) ,t RUS | VMCoop 3,808 0 0.840 0.139 0.413 0.126
   Verbal cooperation Substitution probability, P a 1 , t VCoop | a 2 90,440 0 1 0.576 1 0.345
   Material cooperation Substitution probability, P a 1 , t MCoop | a 2 90,440 0 1 0.099 0.429 0.173
   Verbal or material   conflict Attention probability, P G 19 ( EU 24 ) ,t RUS | VMConf 3,808 0 0.881 0.205 0.602 0.191
Past experiences (A2 @ A1) Explanatory variables, representing how secondary actor interacted with primary actor in the past (14-day moving average)
   Verbal cooperation Substitution probability, P a 2 , t VCoop | a 1 90,440 0 0.960 0.576 0.796 0.187
   Material cooperation Substitution probability, P a 2 , t MCoop | a 1 90,440 0 0.524 0.099 0.205 0.061
   Sanction imposed Sanctioning actor’s perspective, P a 2 ( SI | a 1 ) 90,440 0 0.242 0.003 0.018 0.012
Sanctioned actor’s perspective, P a 1 a 2 | SI 90,440 0 0.900 0.028 0.155 0.093
   Sanction threat Sanctioning actor’s perspective, P a 2 ( ST | a 1 ) 90,440 0 0.146 0.000 0.001 0.003
Sanctioned actor’s perspective, P a 1 a 2 | ST 90,440 0 0.821 0.008 0.063 0.040
   Bilateral relevance Rescaled measure, indicating how important secondary actors are for primary actors (100 corresponds to highest in-sample relevance)
   Migration Total number of migrants from one actor’s country living in the other in 2000 and vice versa, divided by the respective maximum 190 0 100 2.789 11.733 9.015
   Trade Total bilateral trade volume (imports plus exports) in 2020, divided by the respective maximum 190 0.038 100 4.892 27.268 11.283
   Distance Distance between capitals, divided by the maximum, reverse scaling such that the maximum corresponds to the closest pair 190 0 98.651 55.797 94.052 22.974
  1. Reported descriptive statistics typically refer to the G20 definition, including 19 individual member states and the European Union (integrated as the EU24 aggregate without the individually represented members Germany, France, and Italy). Sample size N refers to unique observations on the A1 × A2 × T level.

Table A.2:

Robustness checks for alternative G20 and sanction definitions (any cooperation, A1 @ A2).

G20 def. 43 countries 19+EU 19+EU
Sanction def. P a 2 ( S | a 1 ) P a 1 a 2 | S P a 2 ( a 1 | S ) PS(a2, a1)
Past experienced interactions (A2 @ A1) 1 day 7 days 14 days 1day 7 days 14 days 7 days 7 days
Coop. (material) 0.192*** 0.545*** 0.666*** 0.191*** 0.543*** 0.665*** 0.433*** 0.433***
(0.004) (0.009) (0.011) (0.004) (0.009) (0.011) (0.017) (0.017)
Coop. (verbal) 0.228*** 0.598*** 0.725*** 0.227*** 0.596*** 0.723*** 0.551*** 0.550***
(0.002) (0.003) (0.003) (0.002) (0.003) (0.003) (0.007) (0.007)
Sanction imposed 0.048 0.184*** 0.382*** −0.065*** −0.085*** −0.068*** −0.046*** −0.585***
(0.030) (0.058) (0.072) (0.006) (0.008) (0.009) (0.010) (0.047)
Sanction threat 0.193** 0.571*** 0.746*** −0.085*** −0.135*** −0.133*** −0.086*** −0.121***
(0.076) (0.182) (0.248) (0.010) (0.015) (0.018) (0.009) (0.034)
Obs. 429,828 429,828 429,828 429,828 429,828 429,828 90,440 90,440
R2 (adj.) 0.3125 0.3575 0.3703 0.3127 0.3576 0.3703 0.2161 0.2162
  1. ***p < 0.01, **p < 0.05, *p < 0.1. Past interactions over the prior 7 or 14 days are moving averages. Estimations are based on the model represented in Eq. (3). The 43-countries specifications include all individual G20 member states plus the 24 EU countries not being individual members.

Table A.3:

Heterogeneous responses of major economies to sanction events initiated by other actors.

Past experienced EU27 USA CHN RUS Other G20
interactions (A2 @ A1) Verbal Material Verbal Material Verbal Material Verbal Material Verbal Material
Sanction imposed −0.112*** 0.039** −0.061*** 0.033*** −0.163*** 0.019 0.189*** −0.015 −0.079*** −0.032***
(0.028) (0.016) (0.023) (0.011) (0.030) (0.019) (0.051) (0.025) (0.015) (0.009)
Sanction threat −0.043** 0.027*** −0.040* −0.047*** −0.048 0.024 −0.109*** −0.013 −0.031 −0.032
(0.017) (0.011) (0.022) (0.012) (0.069) (0.044) (0.035) (0.018) (0.047) (0.024)
Obs. 3,808 3,808 3,808 3,808 3,808 3,808 3,808 3,808 49,504 49,504
  1. ***p < 0.01, **p < 0.05, *p < 0.1. Sanction definition is P a 1 a 2 | S , taking the perspective of the sanctioned actor. Past 14-day cooperative interaction probabilities, and feasible actor and day FE included.

Table A.4:

Reciprocal overall cooperation for various FE specification.

Past experienced Baseline (1) (2) (3) (4) (5)
interactions (A2 @ A1)
Coop. (mat.) 0.579*** 0.579*** 0.591*** 0.096*** 0.094***
(0.022) (0.022) (0.023) (0.026) (0.026)
Coop. (verb.) 0.686*** 0.684*** 0.697*** 0.191*** 0.189***
(0.008) (0.008) (0.008) (0.014) (0.014)
Sanction imposed −0.097*** −0.097*** −0.091*** −0.069*** −0.069***
(0.010) (0.010) (0.011) (0.010) (0.010)
Sanction threat −0.104*** −0.106*** −0.105*** −0.017 −0.019
(0.014) (0.014) (0.015) (0.015) (0.014)
Obs. 90,440 90,440 90,440 90,440 90,440
FE specification A1, A2, A1, A2, A1 by week, A1 by A2, A1 by A2,
date week A2 by week date week
FE number 276 72 1,326 617 413
  1. ***p < 0.01, **p < 0.05, *p < 0.1. Sanction definition is P a 1 a 2 | S , i.e. the sanctioned party’s perspective. Past experienced interactions are 14-day moving averages. G20 definition is 19 countries plus EU24. Estimations are based on the model represented in Eq. (3), yet with modified fixed effects.

References

Afesorgbor, S. K. 2019. “The Impact of Economic Sanctions on International Trade: How Do Threatened Sanctions Compare with Imposed Sanctions?” European Journal of Political Economy 56: 11–26. https://doi.org/10.1016/j.ejpoleco.2018.06.002.Search in Google Scholar

Alexseev, M. A., and H. E. Hale. 2020. “Crimea Come what May: Do Economic Sanctions Backfire Politically?” Journal of Peace Research 57 (2): 344–59. https://doi.org/10.1177/0022343319866879.Search in Google Scholar

Bunde, T., and S. Eisentraut. 2022. “Zeitenwende for the G7. Insights from the Munich Security Index Special G7 Edition.” In Munich Security Brief, No. 3/2022.10.47342/JDIE4364Search in Google Scholar

CNBC. 2022. Russia’s Gazprom Rallies by Over 20% After Bumper Profit and Dividend Announcement. Also available at https://www.cnbc.com/2022/08/31/russias-gazprom-surge-after-bumper-profit-and-dividend-announcement.html (accessed August 31, 2022).Search in Google Scholar

Dong, Y., and C. Li. 2018. “Economic Sanction Games Among the US, the EU and Russia: Payoffs and Potential Effects.” Economic Modelling 73: 117–28. https://doi.org/10.1016/j.econmod.2018.03.006.Search in Google Scholar

Felbermayr, G., T. C. Morgan, C. Syropoulus, and Y. V. Yotov. 2021. “Understanding Economic Sanctions: Interdisciplinary Perspectives on Theory and Evidence.” European Economic Review 135: 103720, https://doi.org/10.1016/j.euroecorev.2021.103720.Search in Google Scholar

Leetaru, K., and P. A. Schrodt. 2013. GDELT: Global Data on Events, Location and Tone, 1979-2012. Paper presented at the International Studies Association.Search in Google Scholar

Lektzian, D., and D. Patterson. 2015. “Political Cleavages and Economic Sanctions: The Economic and Political Winners and Losers of Sanctions.” International Studies Quarterly 59: 46–58. https://doi.org/10.1111/isqu.12198.Search in Google Scholar

McLean, E. V., and T. Whang. 2010. “Friends or Foes? Major Trading Partners and the Success of Economic Sanctions.” International Studies Quarterly 54: 427–47. https://doi.org/10.1111/j.1468-2478.2010.00594.x.Search in Google Scholar

OECD. 2022. Bilateral Trade Database by Industry and End-Use Category (BTDIxE), ISIC Rev.4 (accessed April 07, 2022).Search in Google Scholar

Schrodt, P. A. 2012. CAMEO Conflict and Mediation Event Observations Event and Actor Codebook. Version 1.1b3, March 2012.Search in Google Scholar

Seitz, W., and W. Zazzaro. 2020. “Sanctions and Public Opinion: The Case of the Russia-Ukraine Gas Disputes.” The Review of International Organizations 15: 817–43. https://doi.org/10.1007/s11558-019-09360-2.Search in Google Scholar

World Bank. 2022. Global Bilateral Migration. Databank (accessed April 07, 2022).Search in Google Scholar

Weber, P. M., and G. Schneider. 2020. “How Many Hands to Make Sanctions Work? Comparing EU and US Sanctioning Efforts.” European Economic Review 130: 103595, https://doi.org/10.1016/j.euroecorev.2020.103595.Search in Google Scholar

Received: 2022-05-02
Revised: 2022-10-03
Accepted: 2022-10-08
Published Online: 2022-10-24

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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