Spatial planning and policy evaluation in an urban conurbation: a regional Agent-based economic model
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- Luzius Stricker & Moreno Baruffini, 2017. "Spatial Planning and Policy Evaluation in an Urban Conurbation: a Regional Agent-Based Economic Model," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 261-275.
References listed on IDEAS
- Moreno Baruffini, 2013. "An agent-based simulation of the Swiss labour market : an alternative for the labour market policy evaluation," ERSA conference papers ersa13p216, European Regional Science Association.
- David A. Lane & Pietro Terna, 2010. "COMPLEXITY AND THE ORGANIZATION OF ECONOMIC LIFE, Introduction," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 11-16.
- Dibble, Catherine, 2006. "Computational Laboratories for Spatial Agent-Based Models," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 31, pages 1511-1548, Elsevier.
- Theodore Tsekeris & Klimis Vogiatzoglou, 2011. "Spatial agent-based modeling of household and firm location with endogenous transport costs," Netnomics, Springer, vol. 12(2), pages 77-98, July.
- Riccardo Boero & Matteo Morini & Michele Sonnessa & Pietro Terna, 2015. "Agent-based Models of the Economy," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-33981-2, December.
- Vogiatzoglou, Klimis, 2006. "Increasing Agglomeration or Dispersion? Industrial Specialization and Geographic Concentration in NAFTA," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 21, pages 379-396.
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- Å árka SobotoviÄ ová & Beata Blechová, 2017. "Disparities Of The Regions Of The Czech Republic In Terms Of Tax Revenues," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1304-1313.
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Keywords
FIRM LOCALIZATION; URBAN AGGLOMERATION; TERRITORIAL INDICATORS; SPATIAL PLANNING; MUNICIPAL ECONOMY; URBAN ROLES; MUNICIPALITIES’ CHARACTERISTICS; URBAN POLICY EVALUATION; AGENT-BASED MODELS; SIMULATION;All these keywords.
JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
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