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Taste of home: Birth town bias in Geographical Indications

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  • Resce, Giuliano
  • Vaquero-Piñeiro, Cristina

Abstract

We investigate the role of local favoritism in the Geographical Indications (GIs) quality scheme, one of the main pillars of agri-food policy in the EU. Taking advantage of a rich and unique municipalities' geo-referenced database over the 2000-2020 period, we evaluate whether the birthplaces of Regional council members are favored in the acknowledgment of GIs in Italy. To address the potential confounding effects and selection biases, we combine a Difference in Difference strategy with machine learning methods for counterfactual analysis. Results reveal that councilors' birth municipalities are more likely to obtain their products certified as GIs. The birth town bias is more substantial in areas where the level of institutional quality is lower, there is higher corruption, and lower government efficiency, suggesting that the mediation of politicians is determinant where the formal standardized procedures are muddled.

Suggested Citation

  • Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2023. "Taste of home: Birth town bias in Geographical Indications," Economics & Statistics Discussion Papers esdp23089, University of Molise, Department of Economics.
    • Handle: RePEc:mol:ecsdps:esdp23089
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    1. Carozzi, Felipe & Repetto, Luca, 2016. "Sending the pork home: Birth town bias in transfers to Italian municipalities," Journal of Public Economics, Elsevier, vol. 134(C), pages 42-52.
    2. Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2022. "Predicting agri-food quality across space: A Machine Learning model for the acknowledgment of Geographical Indications," Food Policy, Elsevier, vol. 112(C).
    3. Bracco, Emanuele & Lockwood, Ben & Porcelli, Francesco & Redoano, Michela, 2015. "Intergovernmental grants as signals and the alignment effect: Theory and evidence," Journal of Public Economics, Elsevier, vol. 123(C), pages 78-91.
    4. Fernanda Brollo & Tommaso Nannicini & Roberto Perotti & Guido Tabellini, 2013. "The Political Resource Curse," American Economic Review, American Economic Association, vol. 103(5), pages 1759-1796, August.
    5. Steve Cicala, 2022. "Imperfect Markets versus Imperfect Regulation in US Electricity Generation," American Economic Review, American Economic Association, vol. 112(2), pages 409-441, February.
    6. Luisa Menapace & Gian Carlo Moschini, 2014. "Strength of Protection for Geographical Indications: Promotion Incentives and Welfare Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(4), pages 1030-1048.
    7. Simone Emiliozzi & Elisa Guglielminetti & Michele Loberto, 2018. "Forecasting house prices in Italy," Questioni di Economia e Finanza (Occasional Papers) 463, Bank of Italy, Economic Research and International Relations Area.
    8. Marco Di Cataldo & Nicola Mastrorocco, 2022. "Organized Crime, Captured Politicians, and the Allocation of Public Resources [“Mafiaand Public Spending: Evidence on the Fiscal Multiplier from a Quasi-Experiment]," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 38(3), pages 774-839.
    9. Annamaria Nifo & Gaetano Vecchione, 2014. "Do Institutions Play a Role in Skilled Migration? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1628-1649, October.
    10. Menapace, Luisa & Colson, Gregory J. & Grebitus, Carola & Facendola, Maria, 2009. "Consumer Preferences for Country-Of-Origin, Geographical Indication, and Protected Designation of Origin Labels," Staff General Research Papers Archive 13122, Iowa State University, Department of Economics.
    11. Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2021. "Local mortality estimates during the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1189-1217, October.
    12. Tommaso Nannicini & Andrea Stella & Guido Tabellini & Ugo Troiano, 2013. "Social Capital and Political Accountability," American Economic Journal: Economic Policy, American Economic Association, vol. 5(2), pages 222-250, May.
    13. Bjørn Asheim & Ron Boschma & Philip Cooke, 2011. "Constructing Regional Advantage: Platform Policies Based on Related Variety and Differentiated Knowledge Bases," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 893-904.
    14. Daniele Curzi & Martijn Huysmans, 2022. "The Impact of Protecting EU Geographical Indications in Trade Agreements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 364-384, January.
    15. repec:ehl:lserod:110767 is not listed on IDEAS
    16. Baraldi, Anna Laura & Immordino, Giovanni & Stimolo, Marco, 2022. "Mafia wears out women in power: Evidence from italian municipalities," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 213-236.
    17. Áron Török & Lili Jantyik & Zalán Márk Maró & Hazel V. J. Moir, 2020. "Understanding the Real-World Impact of Geographical Indications: A Critical Review of the Empirical Economic Literature," Sustainability, MDPI, vol. 12(22), pages 1-24, November.
    18. Luisa Menapace & Gregory Colson & Carola Grebitus & Maria Facendola, 2011. "Consumers' preferences for geographical origin labels: evidence from the Canadian olive oil market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 193-212, June.
    19. Bommer, Christian & Dreher, Axel & Perez-Alvarez, Marcello, 2022. "Home bias in humanitarian aid: The role of regional favoritism in the allocation of international disaster relief," Journal of Public Economics, Elsevier, vol. 208(C).
    20. Cei, Leonardo & Stefani, Gianluca & Defrancesco, Edi & Lombardi, Ginevra Virginia, 2018. "Geographical indications: A first assessment of the impact on rural development in Italian NUTS3 regions," Land Use Policy, Elsevier, vol. 75(C), pages 620-630.
    21. Agostino, Mariarosaria & Trivieri, Francesco, 2014. "Geographical indication and wine exports. An empirical investigation considering the major European producers," Food Policy, Elsevier, vol. 46(C), pages 22-36.
    22. Linda Veiga & Francisco Veiga, 2013. "Intergovernmental fiscal transfers as pork barrel," Public Choice, Springer, vol. 155(3), pages 335-353, June.
    23. Martijn Huysmans, 2022. "On Feta and Fetta: Protecting EU geographical indications in Australia," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 598-613, June.
    24. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    25. Catherine Haeck & Giulia Meloni & Johan Swinnen, 2019. "The Value of Terroir: A Historical Analysis of the Bordeaux and Champagne Geographical Indications," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 598-619, December.
    26. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    27. Caselli, Mauro & Falco, Paolo, 2022. "Your vote is (no) secret! How low voter density hurts anonymity and biases elections in Italy," European Journal of Political Economy, Elsevier, vol. 75(C).
    28. Wright, John R., 2012. "Unemployment and the Democratic Electoral Advantage," American Political Science Review, Cambridge University Press, vol. 106(4), pages 685-702, November.
    29. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    30. Duvaleix, Sabine & Emlinger, Charlotte & Gaigné, Carl & Latouche, Karine, 2021. "Geographical indications and trade: Firm-level evidence from the French cheese industry," Food Policy, Elsevier, vol. 102(C).
    31. Mattos, Enlinson & Politi, Ricardo & Morata, Rodrigo, 2021. "Birthplace favoritism and the distribution of budget amendments in Brazil: Evidence from nondistrict elections," European Journal of Political Economy, Elsevier, vol. 68(C).
    32. Jon Kleinberg & Jens Ludwig & Sendhil Mullainathan & Ziad Obermeyer, 2015. "Prediction Policy Problems," American Economic Review, American Economic Association, vol. 105(5), pages 491-495, May.
    33. Resce, Giuliano, 2022. "The impact of political and non-political officials on the financial management of local governments," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 943-962.
    34. Gangjee, Dev S., 2017. "Proving Provenance? Geographical Indications Certification and its Ambiguities," World Development, Elsevier, vol. 98(C), pages 12-24.
    35. Brollo, Fernanda & Nannicini, Tommaso, 2012. "Tying Your Enemy's Hands in Close Races: The Politics of Federal Transfers in Brazil," American Political Science Review, Cambridge University Press, vol. 106(4), pages 742-761, November.
    36. Charters, Steve & Spielmann, Nathalie, 2014. "Characteristics of strong territorial brands: The case of champagne," Journal of Business Research, Elsevier, vol. 67(7), pages 1461-1467.
    37. Kaba, Mustafa, 2022. "Who buys vote-buying? How, how much, and at what cost?," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 98-124.
    38. Vincenzo Carrieri & Raffele Lagravinese & Giuliano Resce, 2021. "Predicting vaccine hesitancy from area‐level indicators: A machine learning approach," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3248-3256, December.
    39. Besley, Timothy & Case, Anne, 2000. "Unnatural Experiments? Estimating the Incidence of Endogenous Policies," Economic Journal, Royal Economic Society, vol. 110(467), pages 672-694, November.
    40. Riccardo Crescenzi & Fabrizio De Filippis & Mara Giua & Cristina Vaquero-Piñeiro, 2022. "Geographical Indications and local development: the strength of territorial embeddedness," Regional Studies, Taylor & Francis Journals, vol. 56(3), pages 381-393, March.
    41. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.
    42. Alma Cohen & Liran Einav, 2003. "The Effects of Mandatory Seat Belt Laws on Driving Behavior and Traffic Fatalities," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 828-843, November.
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    More about this item

    Keywords

    Political Economy; Geographical Indications; Political representation; Electoral success; Local Development.;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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