IDEAS home Printed from https://ideas.repec.org/p/mol/ecsdps/esdp23089.html
   My bibliography  Save this paper

Taste of home: Birth town bias in Geographical Indications

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://web.unimol.it/progetti/repec/mol/ecsdps/ESDP23089.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. repec:ehl:lserod:110767 is not listed on IDEAS
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. Linda Veiga & Francisco Veiga, 2013. "Intergovernmental fiscal transfers as pork barrel," Public Choice, Springer, vol. 155(3), pages 335-353, June.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Gangjee, Dev S., 2017. "Proving Provenance? Geographical Indications Certification and its Ambiguities," World Development, Elsevier, vol. 98(C), pages 12-24.
    37. 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).
    38. Wright, John R., 2012. "Unemployment and the Democratic Electoral Advantage," American Political Science Review, Cambridge University Press, vol. 106(4), pages 685-702, November.
    39. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    40. 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.
    41. 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).
    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. Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2024. "Political favouritism and inefficient management: Policy-makers’ birth town bias in EU quality certifications," Journal of Policy Modeling, Elsevier, vol. 46(3), pages 683-702.
    2. 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.
    3. Resce, Giuliano, 2022. "Political and Non-Political Officials in Local Government," Economics & Statistics Discussion Papers esdp22079, University of Molise, Department of Economics.
    4. 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).
    5. Di Stefano, Roberta & Resce, Giuliano, "undated". "The Determinants of Missed Funding: Predicting the Paradox of Increased Need and Reduced Allocation," Economics & Statistics Discussion Papers esdp23092, University of Molise, Department of Economics.
    6. Delogu, Marco & Lagravinese, Raffaele & Paolini, Dimitri & Resce, Giuliano, 2024. "Predicting dropout from higher education: Evidence from Italy," Economic Modelling, Elsevier, vol. 130(C).
    7. De Filippis, Fabrizio & Giua, Mara & Salvatici, Luca & Vaquero-Piñeiro, Cristina, 2022. "The international trade impacts of Geographical Indications: Hype or hope?," Food Policy, Elsevier, vol. 112(C).
    8. Filippis, Fabrizio De & Giua, Mara & Salvatici, Luca & Vaquero-Pineiro, Cristina, 2021. "The International Competitiveness of Geographical Indications: Hype or Hope?," 2021 Conference, August 17-31, 2021, Virtual 315147, International Association of Agricultural Economists.
    9. Antonio Accetturo & Giuseppe Albanese & Alessio D'Ignazio, 2020. "A new phoenix? Large plants regeneration policies in Italy," Journal of Regional Science, Wiley Blackwell, vol. 60(5), pages 878-902, November.
    10. Caravaggio, Nicola & Resce, Giuliano, 2023. "Enhancing Healthcare Cost Forecasting: A Machine Learning Model for Resource Allocation in Heterogeneous Regions," Economics & Statistics Discussion Papers esdp23090, University of Molise, Department of Economics.
    11. Lingling Li & Yingzi Chen & Haoran Gao & Changjian Li, 2023. "How to Regulate the Infringements of Geographical Indications of Agricultural Products—An Empirical Study on Judicial Documents in China," IJERPH, MDPI, vol. 20(6), pages 1-31, March.
    12. Gonschorek, Gerrit J. & Schulze, Günther G. & Sjahrir, Bambang Suharnoko, 2018. "To the ones in need or the ones you need? The political economy of central discretionary grants − empirical evidence from Indonesia," European Journal of Political Economy, Elsevier, vol. 54(C), pages 240-260.
    13. Bordignon, Massimo & Gamalerio, Matteo & Turati, Gilberto, 2020. "Manager or professional politician? Local fiscal autonomy and the skills of elected officials," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    14. Cristina Vaquero Piñeiro & Daniele Curzi, 2024. "Assessing the role of geographical indications in affecting the quality of imports," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 653-671, June.
    15. Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
    16. Anastasios Kitsos & Antonios Proestakis, 2021. "Mediating distributive politics: political alignment and electoral business cycle effects on municipality financing in Greece," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 1-26, August.
    17. 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).
    18. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    19. Chiades, Paolo & Greco, Luciano & Mengotto, Vanni & Moretti, Luigi & Valbonesi, Paola, 2019. "Fiscal consolidation by intergovernmental transfers cuts? The unpleasant effect on expenditure arrears," Economic Modelling, Elsevier, vol. 77(C), pages 266-275.
    20. Luisa Schneider & Daniela Wech & Matthias Wrede, 2022. "Political alignment and project funding," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(6), pages 1561-1589, December.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mol:ecsdps:esdp23089. 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: Claudio Lupi (email available below). General contact details of provider: https://edirc.repec.org/data/dsmolit.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.