The Convergence of Food Expenditures in the European Union Countries – a Spatio‑Temporal Approach
DOI:
https://doi.org/10.18778/0208-6018.340.06Keywords:
convergence, food expenditures, spatial and spatio‑temporal trends, spatial autocorrelation, panel data modelsAbstract
The paper presents the analysis of the convergence of household final consumption expenditures on food in the European Union countries in the period of 1999–2015, considering spatial and spatio‑temporal tendencies and dependencies. The aim of this research is to verify whether space significantly influences the convergence of the considered process. The subject of the investigation is the share of household final consumption expenditures on food in total final consumption expenditures of European countries. Spatial and spatio‑temporal tendencies and dependencies are surveyed using the conception of spatial and spatio‑temporal trends and spatial autocorrelation. The convergence of the process is investigated with the use of β‑convergence models for panel data (also in the spatial terms). Absolute and conditional convergence approaches are applied. For the conditional approach, the models are expanded to incorporate the influence of additional determinants, including space, disposable income and the level of food prices.
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References
Anselin L., Florax R. J.G.M., Rey S. (2004), Advances in Spatial Econometrics. Methodology, Tools and Applications, Springer‑Verlag, New York.
Google Scholar
Arbia G. (2006), Spatial Econometrics. Statistical Foundations and Applications to Regional Convergence, Springer‑Verlag, Berlin–Heidelberg.
Google Scholar
Baltagi B. (2005), Econometric analysis of panel data, John Wiley & Sons Ltd, Chichester.
Google Scholar
Banks J., Blundell R., Lewbel A. (1997), Quadratic Engel curves and consumer demand, “Review of Economics and Statistics”, vol. 79, issue 4, pp. 527–539.
Google Scholar
Barro R. J., Sala‑i‑Martin X. (1992), Convergence, “Journal of Political Economy”, vol. 100, issue 2, pp. 223–251.
Google Scholar
Carnicky S., Megyesiova S., Conkova M., Zavadsky C. (2016), Productivity development and convergence across the EU Member States, “Економiчний часопис‑XXI”, vol. 162, issue 11–12, pp. 13–17.
Google Scholar
Cressie N. A.C. (1993), Statistics for Spatial Data, John Wiley & Sons Inc., New York.
Google Scholar
Cupák A., Pokrivčák J., Rizov M. (2015), Food demand and consumption patterns in the new EU member states: the case of Slovakia, “Ekonomickýčasopis”, vol. 63, issue 4, pp. 339–358.
Google Scholar
Dall’Erba S., Le Gallo J. (2008), Regional convergence and the impact of European structural funds over 1989–1999: A spatial econometric analysis, “Papers in Regional Science”, vol. 87, issue 2, pp. 219–244.
Google Scholar
Dudek H. (2011), Quantitativeanalysis of the household’s expenditure for food, “Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego”, no. 11(3), pp. 23–30.
Google Scholar
Dybczak K., Toth P., Vonka D. (2014), Effects of Price Shocks to Consumer Demand. Estimating the QUAIDS Demand System on Czech Household Budget Survey Data, “Czech Journal of Economics and Finance”, vol. 64, issue 6, pp. 476–500.
Google Scholar
Engel E. (1895), Die Lebenskosten Belgischer Arbeiter‑Familien Fruher und Jetzt, “International Statistical Institute Bulletin”, vol. 9, pp. 1–74.
Google Scholar
Jankiewicz M. (2018), The Influence of the Disposable Income on the Consumption Structure in European Countries – Spatio‑Temporal Analysis, Proceedings of the 4th International Conference on European Integration 2018, Ostrava.
Google Scholar
Janský P. (2014), Consumer demand system estimation and value added tax reforms in the Czech Republic, IES Working Paper, No. 07/2014.
Google Scholar
Kulhánek L. (2012), Real Convergence in Central European EU Member States, International Conference on European Integration, VŠB‑TU Ostrava, Faculty of Economics, Ostrava.
Google Scholar
Kundu S. (2017), Consumption Pattern in West Bengal – A Study of Per Capita Expenditure Elasticity by Income Group, “Journal of Economic & Social Development”, vol. 13, issue 1, pp. 1–6.
Google Scholar
Kusideł E. (2013), Konwergencja gospodarcza w Polsce, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
Google Scholar
Lyncker K. von, Thoennessen R. (2017), Regional club convergence in the EU: evidence from a panel data analysis, “Empirical Economics”, vol. 52, issue 2, pp. 525–553.
Google Scholar
Moran P. A.P. (1950), The Interpretation of Statistical Maps, “Journal of the Royal Statistical Society”, Series B, vol. 10, pp. 243–251.
Google Scholar
Nowak J., Kochkova O. (2011), Income, Culture, and Household Consumption Expenditure Patterns in the European Union: Convergence or Divergence?, “Journal of International Consumer Marketing”, vol. 23, issue 3–4, pp. 260–275.
Google Scholar
Schabenberger O., Gotway C. A. (2005), Statistical Methods for Spatial Data Analysis, Chapman & Hall/CRC, Boca Raton–London−New York.
Google Scholar
Stigler G. J. (1954), The early history of empirical studies of consumer behaviour, “Journal of Political Economy”, vol. 62, issue 2, pp. 95–113.
Google Scholar
Suchecki B. (ed.). (2010), Ekonometria przestrzenna: metody i modele analizy danych przestrzennych, C. H. Beck, Warszawa.
Google Scholar
Suchecki B. (ed.). (2012), Ekonometria przestrzenna II: modele zaawansowane, C. H. Beck, Warszawa.
Google Scholar
Szulc E. (2007), Ekonometryczna analiza wielowymiarowych procesów gospodarczych (Econometric Analysis of Multidimensional Economic Processes), Uniwersytet Mikołaja Kopernika, Toruń.
Google Scholar