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Geographical Indications and Price Volatility Dynamics of Lamb Prices in Spain

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  • Hugo Ferrer-Pérez

    (Centro de Investigación y Tecnología Agroalimentaria (CITA), Unidad de Economía Agraria y de los Recursos Naturales, 50059 Zaragoza, Spain
    Instituto Agroalimentario de Aragón, Universidad de Zaragoza, 50013 Zaragoza, Spain)

  • Fadi Abdelradi

    (Department of Agricultural Economics, Faculty of Agriculture, Cairo University, Giza 12613, Egypt)

  • José M. Gil

    (Centre de Recerca en Economia i Desenvolupament Agroalimentari (CREDA)-UPC-IRTA, 08860 Castelldefels, Spain)

Abstract

For decades, food quality standards have attracted the interest of governance institutions and regulation authorities, who have responded to the increasing and demanding societal challenges. In addition, the open debate on significant variability and unusually high levels of agrifood prices recorded in 2007 and later in 2011 affect the behavior of the chain actors involved. As an attempt to bring together these wide concerns within a quantitative framework, a comparative analysis of the performance of the price volatility dynamics allowing for asymmetric behavior along the supply chain of a protected geographical indication (PGI)-certified lamb and its corresponding non-PGI counterpart, both located in the same region of Spain, was undertaken using weekly farm-retail prices for the period 2011–2018. The results indicate the existence of significant volatilities and an asymmetric transmission mechanism along the non-PGI-certified lamb supply chain, whereas the PGI-certified supply chain is impacted by volatility effects, yet characterized by symmetric behavior, which may suggest a high degree of relative market efficiency.

Suggested Citation

  • Hugo Ferrer-Pérez & Fadi Abdelradi & José M. Gil, 2020. "Geographical Indications and Price Volatility Dynamics of Lamb Prices in Spain," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:3048-:d:343927
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    1. Luisa Menapace & GianCarlo Moschini, 2012. "Quality certification by geographical indications, trademarks and firm reputation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(4), pages 539-566, September.
    2. Sergio H. Lence & Stéphan Marette & Dermot J. Hayes & William Foster, 2007. "Collective Marketing Arrangements for Geographically Differentiated Agricultural Products: Welfare Impacts and Policy Implications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 947-963.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    5. Marilyne Huchet-Bourdon, 2011. "Agricultural Commodity Price Volatility: An Overview," OECD Food, Agriculture and Fisheries Papers 52, OECD Publishing.
    6. Balcombe, Kelvin, 2009. "The Nature and Determinants of Volatility in Agricultural Prices," MPRA Paper 24819, University Library of Munich, Germany.
    7. Choi,In, 2015. "Almost All about Unit Roots," Cambridge Books, Cambridge University Press, number 9781107097339.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Barry K. Goodwin & Nicholas E. Piggott, 2001. "Spatial Market Integration in the Presence of Threshold Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 302-317.
    10. Dwijen Rangnekar, 2011. "Remaking Place: The Social Construction of a Geographical Indication for Feni," Environment and Planning A, , vol. 43(9), pages 2043-2059, September.
    11. Maria Luz Loureiro & Jill J. McCluskey, 2000. "Assessing consumer response to protected geographical identification labeling," Agribusiness, John Wiley & Sons, Ltd., vol. 16(3), pages 309-320.
    12. Céline Bonnet, 2001. "Assessing consumer response to Protected Designation of Origin labelling: a mixed multinomial logit approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(4), pages 433-450, December.
    13. Ana I. Sanjuán-López & Philip J. Dawson, 2017. "Volatility Effects of Index Trading and Spillovers on US Agricultural Futures Markets: A Multivariate GARCH Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 822-838, September.
    14. Tsion Taye Assefa & Miranda P.M. Meuwissen & Cornelis Gardebroek & Alfons G.J.M. Oude Lansink, 2017. "Price and Volatility Transmission and Market Power in the German Fresh Pork Supply Chain," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 861-880, September.
    15. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    16. Amer Ait Sidhoum & Teresa Serra, 2016. "Volatility Spillovers in the Spanish Food Marketing Chain: The Case of Tomato," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 45-63, January.
    17. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    18. Christopher Gilbert & Wyn Morgan, 2010. "Has food price volatility risen?," Department of Economics Working Papers 1002, Department of Economics, University of Trento, Italia.
    19. Buguk, Cumhur & Hudson, Darren & Hanson, Terrill R., 2003. "Price Volatility Spillover in Agricultural Markets: An Examination of U.S. Catfish Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(1), pages 1-14, April.
    20. Perron, Pierre & Qu, Zhongjun, 2007. "A simple modification to improve the finite sample properties of Ng and Perron's unit root tests," Economics Letters, Elsevier, vol. 94(1), pages 12-19, January.
    21. Islam Hassouneh & Teresa Serra & Štefan Bojnec & José M. Gil, 2017. "Modelling price transmission and volatility spillover in the Slovenian wheat market," Applied Economics, Taylor & Francis Journals, vol. 49(41), pages 4116-4126, September.
    22. Cristina Mora & Davide Menozzi, 2005. "Vertical contractual relations in the Italian beef supply chain," Agribusiness, John Wiley & Sons, Ltd., vol. 21(2), pages 213-235.
    23. Fadi Abdelradi & Teresa Serra, 2015. "Asymmetric price volatility transmission between food and energy markets: The case of Spain," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 503-513, July.
    24. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
    25. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    26. Myers, Robert J., 1994. "Time Series Econometrics and Commodity Price Analysis: A Review," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 62(02), pages 1-15, August.
    27. Soren Johansen, 2002. "A Small Sample Correction for the Test of Cointegrating Rank in the Vector Autoregressive Model," Econometrica, Econometric Society, vol. 70(5), pages 1929-1961, September.
    28. Federico Antonioli & Monia Ben Kaabia & Filippo Arfini & José M. Gil, 2019. "Price transmission dynamics for quality‐certified food products: A comparison between conventional and organic fluid milk in Italy," Agribusiness, John Wiley & Sons, Ltd., vol. 35(3), pages 374-393, July.
    29. Belletti, Giovanni & Burgassi, Tunia & Manco, Elisabetta & Marescotti, Andrea & Pacciani, Alessandro & Scaramuzzi, Silvia, 2007. "The roles of geographical indications (PDO and PGI) on the internationalisation process of agro-food products," 105th Seminar, March 8-10, 2007, Bologna, Italy 7851, European Association of Agricultural Economists.
    30. M. Ben-Kaabia & José M. Gil, 2007. "Asymmetric price transmission in the Spanish lamb sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(1), pages 53-80, March.
    31. Hugo Ferrer-Pérez & Pilar Gracia-de-Rentería, 2020. "Asymmetric Price Volatility Transmission in the Spanish Fresh Wild Fish Supply Chain," Marine Resource Economics, University of Chicago Press, vol. 35(1), pages 65-81.
    32. Hugo Ferrer-Pérez & Filippo Arfini & José M. Gil, 2019. "Modelling Price Transmission within the Supply Chain under a European Protected Designation of Origin Framework: The Case of Parmigiano Reggiano in Italy," Social Sciences, MDPI, vol. 8(3), pages 1-13, March.
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    2. Daniele, Bertolozzi-Caredio & Barbara, Soriano & Isabel, Bardají & Alberto, Garrido, 2021. "Economic risk assessment of the quality labels and productive efficiency strategies in Spanish extensive sheep farms," Agricultural Systems, Elsevier, vol. 191(C).
    3. Agie Wandala Putra & Jatna Supriatna & Raldi Hendro Koestoer & Tri Edhi Budhi Soesilo, 2021. "Differences in Local Rice Price Volatility, Climate, and Macroeconomic Determinants in the Indonesian Market," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    4. Maria Lisa Clodoveo & Ahmed Yangui & Mahdi Fendri & Simona Giordano & Pasquale Crupi & Filomena Corbo, 2021. "Protected Geographical Indications for EVOO in Tunisia: Towards Environmental, Social, and Economic Sustainable Development," Sustainability, MDPI, vol. 13(20), pages 1-29, October.

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