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Short- and long-run effects of macroeconomic variables on the Spanish agricultural sector

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  • MB Kaabia
  • JM Gil

Abstract

This paper analyses the effect of some relevant macroeconomic variables on Spanish agricultural prices and exports. The approach used is based on the cointegration procedure, making the distinction between short- and long-run effects possible. An eight-variable system in real terms is specified. Long-run analysis indicates that both money income neutrality and agricultural price homogeneity hold. Short-run dynamics has been analysed by specifying a structural vector error correction model. The main results indicate that, in general terms, agricultural variables do not significantly affect macroeconomic variables. In the very short run, farmers will benefit from increases in money and general prices, whereas over longer horizons the agricultural terms of trade will become worse. Copyright 2000, Oxford University Press.

Suggested Citation

  • MB Kaabia & JM Gil, 2000. "Short- and long-run effects of macroeconomic variables on the Spanish agricultural sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(4), pages 449-471, December.
    • Handle: RePEc:oup:erevae:v:27:y:2000:i:4:p:449-471
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    Cited by:

    1. Chebbi, Houssem Eddine & Lachaal, Lassaad, 2007. "Agricultural Sector and Economic Growth in Tunisia: Evidence from Co-integration and Error Correction Mechanism," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9416, European Association of Agricultural Economists.
    2. Bathla, Seema, 2012. "Volatility in Agriculture Commodity Prices in India: Impact and Macroeconomic and Sector-Specific Policy Responses," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122543, European Association of Agricultural Economists.
    3. Silas Kiprono SAMOEI & Edwin Kipyego KIPCHOGE, 2020. "Drivers of Horticultural Exports in Kenya," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 4(2), pages 27-44.
    4. Jena, Pratap Kumar, 2015. "Commodity Prices and Macroeconomic Variables in India: An Auto-Regressive Distributed Lag (ARDL) Approach," MPRA Paper 73892, University Library of Munich, Germany.
    5. Yu, Xiaohua, 2014. "Monetary easing policy and long-run food prices: Evidence from China," Economic Modelling, Elsevier, vol. 40(C), pages 175-183.
    6. Bathla, Seema, 2011. "Resilience of Indian agriculture to external shocks: Analyzing through a structural econometric model," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 14, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).

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