Complexity economics and sustainable development : computational framework for policy priority inference (Record no. 756874)

MARC details
000 -LEADER
fixed length control field 10920nam a2200217 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781009016544
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 338.927
Item number GUE/C
084 ## - OTHER CLASSIFICATION NUMBER
Source of Number Colon Classification
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Guerrero, Omar A.
245 ## - TITLE STATEMENT
Title Complexity economics and sustainable development : computational framework for policy priority inference
Statement of responsibility, etc /By Omar A. Guerrero and Gonzalo Castañeda
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication UK:
Name of publisher Cambridge University Press,
Year of publication 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 392p.
500 ## - GENERAL NOTE
General note The Sustainable Development Goals are global objectives set by the UN. They cover fundamental issues in development such as poverty, education, economic growth, and climate. Despite growing data across policy dimensions, popular statistical approaches offer limited solutions as these datasets are not big or detailed enough to meet their technical requirements. Complexity Economics and Sustainable Development provides a novel framework to handle these challenging features, suggesting that complexity science, agent-based modelling, and computational social science can overcome these limitations. Building on interdisciplinary socioeconomic theory, it provides a new framework to quantify the link between public expenditure and development while accounting for complex interdependencies and public governance. Accompanied by comprehensive data of worldwide development indicators and open-source code, it provides a detailed construction of the analytic toolkit, familiarising readers with a diverse set of empirical applications and drawing policy implications that are insightful to a diverse readership
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Contents<br/><br/>List of Figures <br/>List of Tables <br/>Foreword by Luis F. López Calva and Robert Axtell <br/>Acknowledgements <br/>List of Abbreviations <br/><br/>PART 1 A COMPLEXITY APPROACH TO <br/>SUSTAINABLE DEVELOPMENT<br/><br/>1 Introduction <br/>1.1 Motivation for This Book <br/>1.2 Cutting-Edge Methods for Challenging Goals <br/>1.3 The ‘Policy Priority Inference’ Research Programme <br/>1.4 Target Audience <br/>1.5 Structure of the Book <br/><br/>2 Policy Prioritisation, Complexity, and Agent Computing <br/>2.1 Modelling the Expenditure–Development Link <br/>2.2 Generative Causation and Social Mechanisms <br/>2.3 On Causal Inference and Agent Computing <br/>2.3.1 The Identification of Counterfactuals <br/>2.3.2 The Workings of the Dependency and <br/> Generative Accounts <br/>2.3.3 The Validity of Agent-Computing Counterfactuals <br/>2.3.4 The Benefits of Using Agent Computing for <br/> Policy Evaluations <br/>2.4 Summary and Conclusions <br/>3 Relevant Data and Empirical Challenges <br/>3.1 A Worldwide Look at Sustainable Development through Data <br/>3.1.1 SDGs and Indicators <br/>3.1.2 Pre-processing Indicators and Descriptive Statistics <br/>3.1.3 Countries and Government Spending <br/>3.2 Popular Modelling Frameworks and Their Limitations <br/>3.2.1 Benchmark Analysis <br/>3.2.2 Regression Analysis <br/>3.2.3 General Equilibrium Models <br/>3.2.4 System Dynamics <br/>3.2.5 Network Analysis <br/>3.3 Empirical Challenges <br/>3.3.1 Adapting to Coarse-Grained Indicators <br/>3.3.2 Moving beyond Associations <br/>3.3.3 Handling Complex Expenditure Linkages <br/>3.3.4 Embedding Vertical Mechanisms <br/>3.3.5 Estimating Interdependency Networks <br/>3.4 Summary and Conclusions <br/>4 A Computational Model <br/>4.1 Policy Instruments <br/>4.2 Indicator Dynamics <br/>4.3 Public Servants <br/>4.4 Central Authority <br/>4.5 Development Outcomes <br/>4.6 Summary and Conclusions <br/><br/>5 Calibration and Validation <br/>5.1 Calibration Strategy <br/>5.2 Optimisation Algorithm <br/>5.3 Goodness of Fit <br/>5.4 On Statistical Confidence and Testing <br/>5.5 Validation <br/>5.5.1 Out-of-Sample Inference <br/>5.5.2 Comparison with Alternative Models <br/>5.5.3 Sensitivities and Specification Checks <br/>5.6 Summary and Conclusions <br/><br/>PART 2 APPLICATIONS TO POLICY AND DEVELOPMENT<br/><br/>6 The ‘Policy Priority Inference’ Framework <br/>6.1 The Policy Space <br/>6.2 The Space of Mechanisms <br/>6.3 Identification of Social Mechanisms <br/>6.3.1 The Search for Dependencies <br/>6.3.2 The Role of Theory and Generative Mechanisms <br/>6.3.3 Mechanistic Consistency <br/>6.4 Policy Inference and the Estimation of Policy Effects <br/>6.5 Sensitivity Analysis and Robustness Checks <br/>6.6 Summary and Conclusions <br/>7 Case Studies in Development Policy <br/>7.1 Education <br/>7.1.1 The Role of Public Spending <br/>CONTENTS xi<br/><br/>PART III A FOCALISED VIEW OF SUSTAINABLE DEVELOPMENT<br/><br/>10 Subnational Development and Fiscal Federalism <br/>10.1 On Fiscal Federalism <br/>10.1.1 Fiscal Decentralisation in Mexico <br/>10.2 Data <br/>10.2.1 Development Indicators <br/>10.2.2 Development Clusters <br/>10.2.3 Expenditure Data <br/>10.3 Simulation Strategy <br/>10.4 Results <br/>10.4.1 The Impact of Contributions <br/>10.4.2 Optimising Contributions <br/>10.4.3 Policy Priorities and Contributions <br/>10.5 Summary and Conclusions <br/>11 Accelerators and Systemic Bottlenecks <br/>11.1 Accelerators, Bottlenecks, and Their Empirical <br/> Quantification <br/>11.2 Data <br/>11.2.1 Government Expenditure <br/>11.2.2 Development Indicators <br/>11.3 Simulation Strategy <br/>11.3.1 Counterfactual Budgets <br/>11.3.2 Detection of Bottlenecks and Accelerators <br/>11.4 Results <br/>11.4.1 Identification of Systemic Bottlenecks <br/> and Accelerators <br/>11.4.2 Comparison against Naïve Approaches <br/>11.4.3 Disaggregation of Systemic Bottlenecks and <br/> Accelerators <br/>11.5 Summary and Conclusions <br/>xii CONTENTS<br/>12 Deprivation, Income Shocks, and Remittances <br/>12.1 Socioeconomic Deprivation in the Mexican Context <br/>12.1.1 The Importance of Remittances and Research <br/> Design <br/>12.2 Data <br/>12.2.1 Indicators <br/>12.2.2 Social Expenditure <br/>12.2.3 Household Spending and Remittances <br/>12.2.4 The Complex Structure of Government <br/> Spending and Development <br/>12.3 Simulation Strategy <br/>12.4 Results <br/>12.4.1 Impact Evaluation by Expenditure Source <br/>12.4.2 Shock Mitigation via Government Expenditure <br/>12.5 Summary and Conclusions <br/><br/>13 Lessons and Reflections <br/>13.1 Lessons Learnt <br/>13.2 From Analysis to Policy Guidelines <br/>13.2.1 Workflow for Strategic Planning <br/>13.3 A Call for Computational Social Scientists <br/>13.3.1 Necessary Infrastructure <br/>13.3.2 Upgrading Skills in Technical Teams <br/>13.3.3 Updating Social Science Programmes <br/><br/>Bibliography <br/>Index
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Economic Development And Growth/ Sustainable Development
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Castañeda, Gonzalo
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home Library Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Reference Dept. of Economics Dept. of Economics Processing Center 23/02/2026 MBC/0766/2025,13/02/2026 4319.00 338.927 GUE/C ECN16979 23/02/2026 Book