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The Spatial Political Economy of Discontent

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  • Jakob Vanschoonbeek

Abstract

The recent rise and distinct geography of populism highlights the need for high resolution data on the economic and political landscapes and improved spatial political economy models that explain their interrelation. This paper shows that divergent development generates political externalities in lagging regions. To do so, it develops a dynamic spatial political economy model that integrates redistributive taxation and agglomerated economic growth in a standard economic geography framework. It finds that divergent development induces skill-biased labor mobility towards faster growing locations, simultaneously reducing their willingness to pay redistributive taxes and increasing their electoral influence on redistributive policy. To empirically validate and calibrate the model, the Spatial Political Economy in Europe Database (SPEED) is introduced, containing newly georeferenced electoral maps, political party classifications and gridded (per capita) GDP estimates for most European countries in the 17th release of the Constituency-Level Electoral Archive (CLEA). Instrumental variable regressions exploiting geographically-determined differences in economic growth potential confirm a strong constituency-level causal relation between underdevelopment and radical vote shares in the past two centuries. Counterfactual simulations suggests that policies that enhance labor mobility or income redistribution may both increase radical vote shares at least in the short run, as they risk fueling backlash in lagging and leading regions respectively.

Suggested Citation

  • Jakob Vanschoonbeek, 2024. "The Spatial Political Economy of Discontent," Working Papers of VIVES - Research Centre for Regional Economics 750408, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
  • Handle: RePEc:ete:vivwps:750408
    Note: paper number VIVES Discussion Paper 99
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    More about this item

    Keywords

    Economic geography; political economy; political discontent; long term effects of divergent development; quantitative model;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • N93 - Economic History - - Regional and Urban History - - - Europe: Pre-1913
    • N94 - Economic History - - Regional and Urban History - - - Europe: 1913-
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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