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  • 2 - Policy Prioritisation, Complexity, and Agent Computing

  • from Part I - A Complexity Approach to Sustainable Development
  • Omar A. Guerrero, The Alan Turing Institute, London, Gonzalo Castañeda, Centro de Investigación y Docencia Económicas
  • Book:
    Complexity Economics and Sustainable Development
    Published online:
    04 January 2024
    Print publication:
    25 January 2024, pp 22-52

  • Summary

    This chapter formulates an analytical toolkit that incorporates an intricate – yet realistic – chain of causal mechanisms to explain the expenditure–development relationship. First, we explain several reasons why we take a complexity perspective for modelling the expenditure–development link and why we choose agent-based modelling as a suitable tool for assessing policy impacts in sustainable development. Second, we introduce the concept of social mechanisms and explain how we apply them to measure the impact of budgetary allocations when systemic effects are relevant. Third, we compare different concepts of causality and explain the advantages of an account that simulates counterfactual scenarios where policy interventions are absent.