Center-Periphery Dissonance as a Possible Factor of the Revolutionary Wave of 2013-2014
A Cross-National Analysis
Bibliographic Data
| ID | 24315121 |
|---|---|
| Authors | Andrey Korotayev (0000-0003-3014-2037, National Research University Higher School of Economics), Leonid Issaev (0000-0003-4748-1078, National Research University Higher School of Economics), Julia Zinkina (0000-0003-0524-2140, National Research University Higher School of Economics) |
| Year | 2015 |
| Volume | 49 |
| Issue | 5 |
| Pages | 461-488 |
| Publication date | 2015-12-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cross-Cultural Research (JOURNAL) |
| Journal identifiers | ISSN: 1069-3971 • E-ISSN: 1552-3578 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1069397115595374 |
| OpenAlex | W2281928712 |
| Language | EN |
| Citations received | 15 |
| References cited | 9 |
Jack Goldstone proposes three predictors for acute social and political destabilization during the revolutionary wave of 2013-2014: (a) an intermediate level of per capita GDP, (b) a high level of corruption, and (c) a transitional type of political regime. After testing this theory on a broader sample, this study suggests and finds support for another predictor—“center-periphery dissonance” for the destabilization of the 2013-2014 wave. The emergence of this factor is common in the process of modernization, and is due to the heterogeneity of modernization processes, when a system’s central elements (“capitals”) are almost always modernized faster than its periphery. Identification of this factor is of considerable interest because accounting for this factor could significantly improve our capability to predict risks of sociopolitical destabilization of modernizing social systems.
Corruption · GDP per capita · modernization · political destabilization · political regime type · Political and Social Issues · Political Conflict and Governance · World Systems and Global Transformations
Towards the Ranking of the Importance of Revolutionary Destabilization Factors in Asian and African Countries Using Machine Learning Methods
Revolution and Democracy in the Twenty-First Century
GDP Per Capita and Protest Activity
Regime Type and Political Destabilization in Cross-National Perspective
Modeling Social Self-Organization and Historical Dynamics. A General Approach
Modeling Social Self-Organization and Historical Dynamics
Immanuel Wallerstein
A Quantitative Analysis of Economic Factors of Revolutionary Destabilization
The Fifth Generation of Revolution Studies. Part II
Economic development and revolutions. A cross-national investigation
Economic Development and Sociopolitical Destabilization
Usaid Democracy Promotion as a Possible Predictor of Revolutionary Destabilization
Terrorism and Democracy
Socio-economic Development and Anti-government Protests in Light of a New Quantitative Analysis of Global Databases
Demographic Factors as Predictors of Revolutionary Situations
Political Order in Changing Societies
Political Order in Changing Societies
A Trap At The Escape From The Trap? Demographic-Structural Factors of Political Instability in Modern Africa and West Asia
The Arab Spring
Revolutions
Toward a Fourth Generation of Revolutionary Theory
A Global Model for Forecasting Political Instability
| Citations per year | 1.67 |
|---|---|
| Citation span | 2017 - 2026 (10) |
| Highly cited | No |