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Forward looking dynamics in spatial CGE modelling

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  • Bröcker, Johannes
  • Korzhenevych, Artem

Abstract

This paper sets up a multiregional dynamic framework by combining the optimal savings model with investment adjustment costs and the spatially disaggregated model with Dixit-Stiglitz structure in the modern sector. Because of increasing product diversity on the dynamic equilibrium path, the model belongs to the category of semi-endogenous growth models. The distinction of goods, factors, firms, and households by location, and the incorporation of trade costs in the model allow to study a variety of issues in regional and transport economics. We describe the model calibration and a taylor-made solution algorithm. The functionality is demonstrated using two illustrative examples.

Suggested Citation

  • Bröcker, Johannes & Korzhenevych, Artem, 2011. "Forward looking dynamics in spatial CGE modelling," Kiel Working Papers 1731, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkwp:1731
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Andries Brandsma & D'Artis Kancs, 2015. "RHOMOLO: A Dynamic General Equilibrium Modelling Approach to the Evaluation of the European Union's R&D Policies," Regional Studies, Taylor & Francis Journals, vol. 49(8), pages 1340-1359, August.
    2. Olga Ivanova & d'Artis Kancs & Mark Thissen, 2019. "EU Economic Modelling System," Papers 1912.07115, arXiv.org.
    3. Elshennawy, Abeer & Robinson, Sherman & Willenbockel, Dirk, 2016. "Climate change and economic growth: An intertemporal general equilibrium analysis for Egypt," Economic Modelling, Elsevier, vol. 52(PB), pages 681-689.
    4. Attila Varga, 2017. "Place-based, Spatially Blind, or Both? Challenges in Estimating the Impacts of Modern Development Policies," International Regional Science Review, , vol. 40(1), pages 12-37, January.
    5. Johannes Bröcker, 2013. "Wider Economic Benefits from Communication-Cost Reductions: An Endogenous Growth Approach," Environment and Planning B, , vol. 40(6), pages 971-986, December.
    6. Attila Varga, 2014. "Challenges in modeling the impacts of modern development policies: The case of the GMR-approach," EcoMod2014 7151, EcoMod.
    7. Ioannis Charalampidis & Panagiotis Karkatsoulis & Pantelis Capros, 2019. "A Regional Economy-Energy-Transport Model of the EU for Assessing Decarbonization in Transport," Energies, MDPI, vol. 12(16), pages 1-27, August.
    8. Varga, Attila, 2020. "A tudástermelési függvénytől a fejlesztéspolitikai hatáselemzésig [From the knowledge production function to development policy-impact modelling]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 537-556.
    9. Olga Ivanova & d'Artis Kancs & Dirk Stelder, 2009. "Modelling Inter-Regional Trade Flows: Data and Methodological Issues in Rhomolo," EERI Research Paper Series EERI RP 2009/31, Economics and Econometrics Research Institute (EERI), Brussels.
    10. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    11. Francesco Di Comite & D'Artis Kancs & Wouter Torfs, 2015. "Macroeconomic Modelling of R&D and Innovation Policies," JRC Research Reports JRC89558, Joint Research Centre.
    12. Korzhenevych, Artem & Bröcker, Johannes, 2018. "Investment subsidies and regional welfare: A dynamic framework," CEPIE Working Papers 02/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    13. Chen, Zhenhua & Rose, Adam Z. & Prager, Fynnwin & Chatterjee, Samrat, 2017. "Economic consequences of aviation system disruptions: A reduced-form computable general equilibrium analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 207-226.
    14. Vanessa Angst & Chiara Colesanti Senni & Markus Maibach & Martin Peter & Noe Reidt & Renger van Nieuwkoop, 2021. "Economic impacts of decarbonizing the Swiss passenger transport sector," CER-ETH Economics working paper series 21/352, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    15. Wenjie Li & Jialing Dai & Yi Xiao & Shengfa Yang & Chenpeng Song, 2021. "Estimating waterway freight demand at Three Gorges ship lock on Yangtze River by backpropagation neural network modeling," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 495-521, September.
    16. Attila Varga & Péter Járosi & Tamás Sebestyén, 2011. "Modeling the growth effects of regional knowledge production: The GMR-Europe model and its applications for EU Framework Program policy impact simulations," ERSA conference papers ersa11p1426, European Regional Science Association.
    17. Ying Jin & Marcial Echenique & Anthony Hargreaves, 2013. "A Recursive Spatial Equilibrium Model for Planning Large-Scale Urban Change," Environment and Planning B, , vol. 40(6), pages 1027-1050, December.
    18. Johannes Bröcker, 2012. "Wider economic benefits from communication cost reductions: an endogenous growth approach," ERSA conference papers ersa12p1165, European Regional Science Association.
    19. Szerb, László & Varga, Attila & Sebestyén, Tamás & Szabó, Norbert, 2019. "A vállalkozás szerepe a gazdasági növekedésben Magyarországon [The role of entrepreneurship in Hungarys economic growth]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 607-634.
    20. Attila Varga & Péter Járosi & Tamás Sebestyén, 2010. "Geographic Macro and Regional Model for EU Policy Impact Analysis of Intangible Assets and Growth," UPFBE Working Paper Series 2010/4, Faculty of Business and Economics, University Pécs.
    21. repec:elg:eechap:14395_2 is not listed on IDEAS

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    More about this item

    Keywords

    spatial dynamic CGE modeling; multiple optimizing agents; transport costs;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies

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