DETUROPE - The Central European Journal of Regional Development and Tourism 2018, 10(3):120-142 | DOI: 10.32725/det.2018.027

Linking Macro and Regional Level Economic Forecasts: Alternative Regional Growth Paths in Hungary

Zsuzsanna Zsibók
HAS CERS Institute for Regional Studies, 22 Papnövelde str., H-7621 Pécs, Hungary

Keywords: Regional development, Regional forecasting, Economic growth

Economic development at the national level is often accompanied by territorial divergence at sub-national levels, which phenomenon became even more noticeable during and after the global financial and economic crisis. Current development policy have to face the well-known equity versus efficiency challenge to sustain the prosperity of the most advanced regions and, at the same time, to tackle the divergence between advanced and lagging regions. For this reason, a comprehensive knowledge is necessary about the long-run, interdependent dynamics of national and regional level growth. Our research contributes to this knowledge through studying alternative growth paths for Hungary in a comparative framework. We focus on the methods that apply a regionalisation procedure in order to downscale national level economic forecasts to the regional level.

Published: October 31, 2018  Show citation

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Zsibók, Z. (2018). Linking Macro and Regional Level Economic Forecasts: Alternative Regional Growth Paths in Hungary. DETUROPE - The Central European Journal of Regional Development and Tourism10(3), 120-142. doi: 10.32725/det.2018.027
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References

  1. Baltagi, B.H., Fingleton, B., & Pirotte, A. (2014). Estimating and forecasting with a dynamic spatial panel data model. Oxford Bulletin of Economics and Statistics, 76(1), 112-138. Go to original source...
  2. Barca, F., McCann, P., & Rodríguez-Pose, A. (2012). The case for regional development intervention: place-based versus place-neutral approaches. Journal of Regional Science, 52(1), 134-152. Go to original source...
  3. Batista e Silva, F., Dijkstra, L., Martinez, P.V., & Lavalle, C. (2016). Regionalisation of demographic and economic projections. Trend and convergence scenarios from 2015 to 2060. JRC Science for Policy Report EUR 27924 EN; doi: 10.2788/458769
  4. Beenstock M., & Felsenstein, D. (2007). Spatial Vector Autoregressions. Spatial Economic Analysis, 2(2), 167-196. Go to original source...
  5. Capello, R., Caragliu, A., & Fratesi, U. (2017a). Advances in Regional Growth Forecasting Models: Conceptual Challenges and Methodological Responses. International Regional Science Review, 40(1), 3-11. Go to original source...
  6. Capello, R., Caragliu, A., & Fratesi, U. (2017b). Modeling Regional Growth between Competitiveness and Austerity Measures: The MASST3 Model. International Regional Science Review, 40(1), 38-74. Go to original source...
  7. Chizzolini, B. (2008). National and Regional Econometric Models. In R. Capello, R. Camagni, B. Chizzolini, & U. Fratesi (Eds.), Modelling Regional Scenarios for the Enlarged Europe (pp. 69-82). Berlin, Heidelberg: Springer-Verlag. Go to original source...
  8. Dixon, P.B., Parmenter, B.R., Sutton, J., & Vincent, D.P. (1982). ORANI: A Multisectoral Model of the Australian Economy. Amsterdam: North Holland Publishing Company.
  9. Egyed, I. (2016). From uniformity towards unequality in regional development policy: The case of France. Deturope, 8(3), 33-52. Go to original source...
  10. Elhorst, J.P. (2009). Spatial panel data models. In M. Fischer, A. Getis (Eds.), Handbook of Applied Spatial Analysis (pp. 377-407). Berlin, Heidelberg: Springer. Go to original source...
  11. Enyedi, Gy. (2010). Terület- és településfejlesztéssel kapcsolatos tudományos kutatások fő irányai és feladatai [The main directions and tasks of the scientific researches in relation to spatial and settlement development], Területi Statisztika 13 (50)(4), 398-405.
  12. European Commission (2015). The 2015 Ageing Report. Economic and budgetary projections for the 28 EU Member States (2013-2060). European Economy 3/2015, Economic and Financial Affairs [Pdf] Retrieved from http://ec.europa.eu/economy_finance/publications/european_economy/2015/pdf/ee3_en.pdf
  13. Fratesi, U. (2009). The regional economist with the crystal ball: a discussion of the possibility of long-term predictions at sub-national level. Italian Journal of Regional Science, 8(1), 91-97. Go to original source...
  14. Gaffin, S.R., Rosenzweig, C.R., Xing, X., & Yetman, G. (2004) Downscaling and Geo-spatial Gridding of Socio-Economic Projections from the IPCC Special Report on Emissions Scenarios (SRES), Global Environmental Change A, 14, 105-123. Go to original source...
  15. Gardiner, B., Martin, R., & Tyler, P. (2011). Does spatial agglomeration increase national growth? some evidence from Europe. Journal of Economic Geography, 11(6), 1-28. Go to original source...
  16. Gill, I. (2010) Regional development policies: Place-based or people-centred? [Html]. Retrieved from http://voxeu.org/article/regional-development-policies-place-based-or-people-centred
  17. Glaeser, E. L. (2011). Triumph of the City: How Our Greatest Invention Makes us Richer, Smarter, Greener, Healthier and Happier. New York: Penguin.
  18. Haddad, E. (2009). Interregional Computable General Equilibrium Models. In M. Sonis & G. J. D. Hewings (Eds.), Tool Kits in Regional Science - Theory, Models, and Estimation. Berlin, Heidelberg: Springer-Verlag. Go to original source...
  19. Hadjimichalis, C., & Hudson, R. (2014). Contemporary Crisis Across Europe and the Crisis of Regional Development Theories. Regional Studies, 48(1), 208-218. Go to original source...
  20. Hoorelbeke, D., Lohest, O., Bassilière, D., Bossier, F, Bracke, I., & Caruso, F. (2007). HERMREG: A regionalisation model for Belgium [Pdf]. Retrieved from https://ecomod.net/sites/default/files/document-conference/ecomod2007/93.pdf
  21. Iammarino, S., Rodríguez-Pose, A., & Storper, M. (2017). Why regional development matters for Europe's economic future. Working Papers of the Directorate-General for Regional and Urban Policy, WP 07/2017. Brussels: European Commission.
  22. Jakobi, Á. (2004). Kísérletek a hazai területi egyenlőtlenségek előrejelzésére [Some experiments to forecast domestic spatial inequalities]. Regionális Tudományi Tanulmányok 9 (pp. 107-124). Budapest: ELTE Regionális Földrajzi Tanszék, MTA-ELTE Regionális Tudományi Kutatócsoport.
  23. Keresztély, T. (2004) Előrejelzés és szcenárióelemzés hosszú távú makromodellel. [Forecasting and scenario analysis using a long-term macroeconomic model.] Statisztikai Szemle, 82(10-11), 919-944.
  24. Koops, O., & Muskens, J. (2005). REGINA: A model of economic growth prospects for Dutch regions. In F. van Oort, M. Thissen, & L. van Wissen (Eds.), A survey of spatial economic planning models in the Netherlands. Theory, application and evaluation. Rotterdam: NAi Publishers, Netherlands Institute for Spatial Research, Den Haag.
  25. Lehmann, R., & Wohlrabe, K. (2014). Regional economic forecasting: stat-of-the-art methodology and future challenges. Economics and Business Letters, 3(4), 218-231. Go to original source...
  26. Lengyel, I., & Kotosz, B. (2018). Felzárkózás és/vagy távolságtartó követés? A visegrádi országok térségeinek fejlődéséről. [Catching up and/or following at a distance? On the prospect of the regions of the Visegrad countries] Tér és Társadalom, 32(1), 5-26. Go to original source...
  27. Lengyel, I., & Varga, A. (2018). A magyar gazdasági növekedés térbeli korlátai - helyzetkép és alapvető dilemmák. [Spatial constraints of Hungarian economic growth - state of play and basic dilemmas] Közgazdasági Szemle, LXV., May, 499-524. Go to original source...
  28. Lennert, J., Csatári, B., Farkas, J. Z., Mezőszentgyörgyi, D. (2015). Locality-based and place-based development in theory and practice - an example of the Hungarian countryside. Deturope, 7(2), 14-27. Go to original source...
  29. Lennert, J. (2018a). Területi jövőképek - demográfia. [Spatial visions - Demography] Manuscript
  30. Lennert, J. (2018b). Will the last one out turn off the lights? - Demographic scenarios for the Hungarian rural areas. In J. Zapletalová, A. Vaishar, M. Stastná (Eds.), Eurorural '18: 6th Moravian Conference on Rural Research: European Countryside and its Perception. 49 p. Brno: Mendel University in Brno.
  31. Leunig, T. (2008). The regeneration game is up. The Guardian [Html]. https://www.theguardian.com/commentisfree/2008/aug/13/regeneration.conservatives.
  32. Maani, K.E., & Cavana, R.Y. (2007). Systems Thinking, System Dynamics. Managing Change and Complexity. Rosedale: Pearson Education New Zealand.
  33. Magnani, R., & Valin, H. (2009). Different approaches to modelling regional issues. Italian Journal of Regional Science, 8(1), 99-105. Go to original source...
  34. Martin, R. (2008). National growth versus spatial equality? A cautionary note on the new 'trade-off' thinking in regional policy discourse. Regional Science Policy & Practice, 1(1), 3-13. Go to original source...
  35. Martin, R. (2011). Regional economic resilience, hysteresis and recessionary shocks. Journal of Economic Geography, 12(1), 1-32. Go to original source...
  36. Martin, R. (2015). Rebalancing the Spatial Economy: The Challenge for Regional Theory. Territory, Politics, Governance, 3(3), 235-272. Go to original source...
  37. Mayor, M., López, A. J., & Pérez, R.(2007). Forecasting regional employment with shift-share and ARIMA modelling. Regional Studies, 41(4), 543-551. Go to original source...
  38. McCann, P. (2016). The UK Regional-National Economic Problem: Geography, globalisation and governance. London, New York: Routledge. Go to original source...
  39. OECD (2011). OECD Regional Outlook 2011: Building Resilient Regions for Stronger Economies. Paris: OECD Publishing. https://doi.org/10.1787/9789264120983-en. Go to original source...
  40. Owyang, M.T., Rapach, D.E., & Wall, H.J. (2009). States and the business cycle. Journal of Urban Economics, 65, 181-194. Go to original source...
  41. Parmenter, B.R., & Welsh, A. (2001). Historical simulations with the MONASH regional equation system. Australasian Journal of Regional Studies, 7(2), 209-230.
  42. Ramajo, J., Márquez, M.A., & Hewings, G.J.D. (2017). Spatiotemporal Analysis of Regional Systems: A Multiregional Spatial Vector Autoregressive Model for Spain. International Regional Science Review, 40(1), 75-96. Go to original source...
  43. Riahi, K., Kolp, P., Grübler, A. (2005). National Scenarios of Economic Activity (GDP) - A Downscaling Analysis based on SRES. Interim Report IR-05-063. Laxenburg: International Institute for Applied Systems Analysis.
  44. Stock, J.H., & Watson, M.W. (2002). Macroeconomic forecasting using diffusion indexes. Journal of Business and Economic Statistics, 20, 147-162. Go to original source...
  45. Szabó, P (2015). Régió és térszerkezet - az elmélettől a területpolitikáig. [Region and spatial structure - From theory to spatial policy] Budapest: ELTE Eötvös Kiadó.
  46. Tagai, G. (2015). Járási népesség-előreszámítás 2051-ig. [District-level population projection until 2051] In M. Czirfusz, E. Hoyk, A. Suvák (Eds.), Klímaváltozás - társadalom - gazdaság: Hosszú távú területi folyamatok és trendek Magyarországon. [Climate change - society - economy. Long-run spatial processes and trends in Hungary] (pp. 141-166). Pécs: Publikon Kiadó.
  47. van Vuuren, D.P., Lucas, P.L., & Hilderink, H. (2007). Downscaling drivers of global environmental change: Enabling use of global SRES scenarios at the national and grid levels. Global Environmental Change, 17, 114-130. Go to original source...
  48. Varga, A. (2017). Place-based, Spatially Blind, or Both? Challenges in Estimating the Impacts of Modern Development Policies: The Case of the GMR Policy Impact Modeling Approach. International Regional Science Review, 40(1), 12-37. Go to original source...
  49. Williamson, J.G. (1965). Regional inequality and the process of national development: a description of the patterns. Economic Development and Cultural Change, 13, 1-84. Go to original source...
  50. World Bank (2009). World Development Report: Reshaping Economic Geography. Whashington, DC: World Bank.
  51. Zsibók, Zs. (2017). Spatial imbalances in the United Kingdom after the Millennium: a focus on the cities. Deturope, 9(3), 61-84. Go to original source...
  52. Zsibók, Zs., & Sebestyén, T. (2017). Regionális gazdasági előrejelző modell, a klímaváltozás figyelembevételével. [Regional Economic Forecasting Model with Respect to the Climate Change] Területi Statisztika, 57(2), 132-159. Go to original source...

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