IDEAS home Printed from https://ideas.repec.org/a/iag/reviea/v8y2011i1p13-43.html
   My bibliography  Save this article

Macroeconomic Variables Influencing the European Convergence of the Romanian Agri-Food Sector

Author

Listed:
  • Toderoiu, Filon

    (Institute of Agricultural Economics, Romanian Academy, Bucharest)

Abstract

The methodological opening necessary to approach the economic convergence was based on a series of recent empirical studies, both at national level, in a European context and at the level of the agri-food sector, compared to overall Romanian economy. The competitiveness, which generates convergence, is usually related to tangible results, such as continuous productivity growth, high real wages and living standard, innovating processes with driving effect. The disarticulation in the Romanian economy dynamics in the last two decades is confirmed by the strong relative instability, measured by the variation coefficients (CoV%), ranging from 6.03% (in total GVA) to 14.83% (in agriculture). The energy intensity – in principle considered as a measure of the energy efficiency of a nation’s economy – experienced a strong regressive trend in Romania, compared to the EU–27 average, and bridging up the gaps requires extremely long periods of time (from 121.2 years to 32.7 years). Out of the six time periods considered as relevant for comparing economic performances, only in two (1993–1996 and 2001–2004) the “real wages – productivity” correlation was in the limits of economic rationality. The intensity of intermediary deliveries of agriculture to food industry was down by more than 35% (from 65.1% in 1989 to only 29.9% in 2007), while the intensity of intermediary deliveries from food industry to agriculture was down by more than 14.5% (from 19.1% in 1989 to 4.6% in 2007). The intensity of intermediary acquisitions of food industry from agriculture decreased by 46.7% (from 76.7% in 1989 to 30.0% in 2007), while that of agriculture from the food industry by 11% (from 18.0% in 1989 to 7.0% in 2007). The gross agricultural output per hectare in Romania had the highest variation coefficient among the seven investigated countries, i.e. 23.5%, compared to only 6.5% in Germany, under the conditions of a large technological performance gap between Romania and the compared countries. The bi-factorial regressional adjustment of the gross agricultural output per hectare, for which a determination coefficient of 80.4% was determined, reflects its pregnant dependence on cereal production. The real income from the agricultural activity in Romania was, in cumulative relative terms, by only 7.8% higher in 2008 compared to 2000; this increase lay between the decline by 9.2% (Netherlands) and the increase by 31.5% (Bulgaria); in Romania’s case, there was a striking amplitude of average yearly modifications, from 27.12% in the period 2001–2004 (2000 = 1), to – 12.85% in the period 2005–2008 (2004 = 1), i.e. the highest difference in rates among the compared countries.

Suggested Citation

  • Toderoiu, Filon, 2011. "Macroeconomic Variables Influencing the European Convergence of the Romanian Agri-Food Sector," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 8(1), pages 13-43.
  • Handle: RePEc:iag:reviea:v:8:y:2011:i:1:p:13-43
    as

    Download full text from publisher

    File URL: http://www.eadr.ro/RePEc/iag/iag_pdf/AERD1101_13-43.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Toderoiu, Filon, 2009. "Real Economic Convergence – European and National Dimension," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 6(2), pages 159-180.
    2. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
    3. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, July.
    4. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
    5. Costas Megir & Danny Quah, 1996. "Regional Convergence Clusters Across Europe," CEP Discussion Papers dp0274, Centre for Economic Performance, LSE.
    6. Iancu, Aurel, 2009. "Convergenta Reala," Studii Economice 090701, Institutul National de Cercetari Economice (INCE).
    7. Zaman, Gheorghe & Georgescu, George, 2009. "Structural Fund Absorption: A New Challenge For Romania?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(1), pages 136-154, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mihály Borsi & Norbert Metiu, 2015. "The evolution of economic convergence in the European Union," Empirical Economics, Springer, vol. 48(2), pages 657-681, March.
    2. Massimiliano Affinito, 2011. "Convergence clubs, the euro-area rank and the relationship between banking and real convergence," Temi di discussione (Economic working papers) 809, Bank of Italy, Economic Research and International Relations Area.
    3. Mariusz Próchniak & Bartosz Witkowski, 2006. "Modelowanie realnej konwergencji w skali międzynarodowej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 1-31.
    4. Giovanni Caggiano & Leone Leonida, 2013. "Multimodality in the distribution of GDP and the absolute convergence hypothesis," Empirical Economics, Springer, vol. 44(3), pages 1203-1215, June.
    5. Azomahou, Théophile T. & El ouardighi, Jalal & Nguyen-Van, Phu & Pham, Thi Kim Cuong, 2011. "Testing convergence of European regions: A semiparametric approach," Economic Modelling, Elsevier, vol. 28(3), pages 1202-1210, May.
    6. Julie Le Gallo & Sandy Dall'erba, 2008. "Spatial and sectoral productivity convergence between European regions, 1975–2000," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 505-525, November.
    7. Sébastien BOURDIN, 2013. "Une Mesure Spatiale Locale De La Sigma-Convergence Pour Evaluer Les Disparites Regionales Dans L’Union Europeenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 37, pages 179-196.
    8. Herrerias, M.J. & Ordoñez, J., 2012. "New evidence on the role of regional clusters and convergence in China (1952–2008)," China Economic Review, Elsevier, vol. 23(4), pages 1120-1133.
    9. Mendieta, Rodrigo & Ontaneda, Diego & Pontarollo, Nicola, 2019. "Canton growth in Ecuador and the role of spatial heterogeneity," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    10. Henryk Gurgul & Łukasz Lach, 2019. "Regional patterns in technological progress of Poland: the role of EU structural funds," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1195-1220, December.
    11. Jesús Peiró-Palomino, 2016. "European regional convergence revisited: the role of intangible assets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 165-194, July.
    12. Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2014. "On the sources of European regional convergence: Does social capital have an economic payoff?," Working Papers 2014/16, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Grafström, Jonas & Jaunky, Vishal, 2017. "Convergence of Incentive Capabilities within the European Union," Ratio Working Papers 301, The Ratio Institute.
    14. Enrico Fabrizi & Gianni Guastella & Stefano Marta & Francesco Timpano, 2016. "Determinants of Intra-Distribution Dynamics in European Regions: An Empirical Assessment of the Role of Structural Intervention," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(5), pages 522-539, December.
    15. Paolo Postiglione & M. Andreano & Roberto Benedetti, 2013. "Using Constrained Optimization for the Identification of Convergence Clubs," Computational Economics, Springer;Society for Computational Economics, vol. 42(2), pages 151-174, August.
    16. Eckey, Hans-Friedrich & Türck, Matthias, 2007. "Convergence of EU-Regions. A Literature Report," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 10, pages 5-32.
    17. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
    18. Jesús Peiró-Palomino & William Orlando Prieto-Bustos & Emili Tortosa-Ausina, 2020. "Weighted convergence in Colombian departments: The role of geography and demography," Working Papers 2020/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    19. Vanesa Jordá & José Sarabia, 2015. "International Convergence in Well-Being Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 1-27, January.
    20. Jalal El Ouardighi & Rabija Somun-Kapetanovic, 2009. "Convergence and Inequality of income: the case of Western Balkan countries," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 6(2), pages 207-225, December.

    More about this item

    Keywords

    economic convergence; energy intensity; wages–productivity correlation; intermediary deliveries and acquisitions; A Indicator;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iag:reviea:v:8:y:2011:i:1:p:13-43. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/iaacaro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.