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Testing for Structural Changes in the European Union’s Agricultural Sector

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  • Vítor João Pereira Domingues Martinho

    (Agricultural School (ESAV) and CI&DETS, Polytechnic Institute of Viseu (IPV), 3504-510 Viseu, Portugal
    Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal)

Abstract

Over recent decades several European and global occurrences have had an impact on the European Union’s economic sectors, and subsequently on farms. In fact, the various Common Agricultural Policy (CAP) reforms, namely those since 1992, and the global financial and economic crises, specifically after 2008, seem to have had several effects on the dynamics of the entire European Union agricultural sector and on the performance of farms. However, there is doubt as to whether these events were enough to promote structural breaks in European Union farms. In this way, the main objective of this study is to analyse both the known and unknown structural breaks in European farms, between 1989 and 2016. To this purpose, data from the Farm Accountancy Data Network (FADN) from the twelve former member-states (the countries with the longer time series) and methodologies based on the Chow test and on the Quandt likelihood ratio (QLR) were considered. The results show that the structural breaks are different across the several twelve former European Union countries and among the several variables considered. In any case, the financial and economic crises, as well as changes in the European Union’s methodologies relative to statistical information, seem to have had a greater impact on the European farms than the several CAP reforms (with the exception of the reform of 1992 the trade liberalization). However, the several consequences of all these European and world events on European farms seem to be delayed for some years.

Suggested Citation

  • Vítor João Pereira Domingues Martinho, 2019. "Testing for Structural Changes in the European Union’s Agricultural Sector," Agriculture, MDPI, vol. 9(5), pages 1-21, May.
    • Handle: RePEc:gam:jagris:v:9:y:2019:i:5:p:92-:d:227694
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    References listed on IDEAS

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    1. Colin G. Thirtle & David E. Schimmelpfennig & Robert E Townsend, 2002. "Induced Innovation in United States Agriculture, 1880–1990: Time Series Tests and an Error Correction Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 598-614.
    2. Jayson Beckman & David Schimmelpfennig, 2015. "Determinants of farm income," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(3), pages 385-402, September.
    3. Shalini, Velappan & Prasanna, Krishna, 2016. "Impact of the financial crisis on Indian commodity markets: Structural breaks and volatility dynamics," Energy Economics, Elsevier, vol. 53(C), pages 40-57.
    4. Ekrem Erdem & Saban Nazlioglu & Cumhur Erdem, 2010. "Exchange rate uncertainty and agricultural trade: panel cointegration analysis for Turkey," Agricultural Economics, International Association of Agricultural Economists, vol. 41(6), pages 537-543, November.
    5. Klimek, Bjørn & Hansen, Henning Otte, 2017. "Food industry structure in Norway and Denmark since the 1990s," Food Policy, Elsevier, vol. 69(C), pages 110-122.
    6. Chien-Chiang Lee & Yi-Chung Hsu, 2009. "Endogenous structural breaks, public investment in agriculture and agricultural land productivity in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 87-103.
    7. Alejandro Nin-Pratt & Bingxin Yu & Shenggen Fan, 2010. "Comparisons of agricultural productivity growth in China and India," Journal of Productivity Analysis, Springer, vol. 33(3), pages 209-223, June.
    8. Zhichao Guo & Yuanhua Feng & Thomas Gries, 2015. "Changes of China’s agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 7(2), pages 262-279, May.
    9. Cazcarro, Ignacio & Duarte, Rosa & Sánchez-Chóliz, Julio, 2013. "Economic growth and the evolution of water consumption in Spain: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 96(C), pages 51-61.
    10. Rodney Benjamin Edvinsson, 2017. "The response of vital rates to harvest fluctuations in pre-industrial Sweden," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(2), pages 245-268, May.
    11. James Oehmke & David Schimmelpfennig, 2004. "Quantifying Structural Change in U.S. Agriculture: The Case of Research and Productivity," Journal of Productivity Analysis, Springer, vol. 21(3), pages 297-315, May.
    12. P. J. Dawson, 2015. "Measuring the Volatility of Wheat Futures Prices on the LIFFE," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 20-35, February.
    13. Muhammad Shahbaz & Faridul Islam & Muhammad Sabihuddin Butt, 2016. "Finance–Growth–Energy Nexus and the Role of Agriculture and Modern Sectors: Evidence from ARDL Bounds Test Approach to Cointegration in Pakistan," Global Business Review, International Management Institute, vol. 17(5), pages 1037-1059, October.
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