Demographic Structural Theory Applied to the 2011 Egyptian Revolution

Abstract

Demographic Structural Theory (DST) provides a framework for explaining instability in Egypt which led to intrastate conflict and the 2011 Egyptian Revolution. DST does not consider environmental factors, but they too may have played a role, and future developments of DST may choose to account for these factors. DST considers the interplay of population growth, resource constraints, inter-elite factionalization due to scarce resources, and the states efforts to address these strains through increased taxes and an increase in the states coercive apparatus. Ultimately, under this scenario the situation becomes unsustainable, social conflict often erupts, which can lead to regime collapse. DST does not consider environmental degradation, which generates stress on society and government, this in turn can contribute to internal conflict due to the constrained resources. Water is the key environmental resource at issue in Egypt, and continues to increase the potential for social turmoil. Egypts 2011 Revolution can be explained by DST; however analysis of environmental factors, specifically water scarcity, should also be examined.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2020
Accession Number
AD1177493

Entities

People

  • Christopher D. Booth

Organizations

  • Marine Corps University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Climate Change
  • Commerce
  • Disaster Management
  • Droughts
  • Environment
  • Foreign Aid
  • Governments
  • Insurgency
  • International Organizations
  • International Relations
  • Middle East
  • National Security
  • Natural Resources
  • New York
  • Political Movements
  • Political Science
  • Students
  • Terrorism
  • United States
  • Urban Areas
  • Water Resources
  • Water Supplies

Readers

  • East Asian Political and Security Studies within the Soviet Union
  • Economics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.