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From local to global, and return: Geographical indications and FDI in Europe

Author

Listed:
  • Crescenzi, Riccardo
  • De Filippis, Fabrizio
  • Giua, Mara
  • Salvatici, Luca
  • Vaquero‐Piñeiro, Cristina

Abstract

The geographical indication (GI) scheme of the European Union guarantees visibility and protection to high‐quality agri‐food products associated with a demarcated region of origin. This paper estimates the impact of the scheme in attracting agri‐food foreign direct investment (FDI) in European NUTS3 regions, using a novel dataset and a generalized propensity score matching approach. Areas endorsed with GIs attract more FDI in agri‐food‐related activities than their non‐GI counterparts. Positive effects, estimated for FDI inflows, related job creation and inter‐sectoral spillovers on local employment, involves territories with lower institutional quality.

Suggested Citation

  • Crescenzi, Riccardo & De Filippis, Fabrizio & Giua, Mara & Salvatici, Luca & Vaquero‐Piñeiro, Cristina, 2023. "From local to global, and return: Geographical indications and FDI in Europe," Papers in Regional Science, Elsevier, vol. 102(5), pages 985-1007.
    • Handle: RePEc:eee:paresc:v:102:y:2023:i:5:p:985-1007
    DOI: 10.1111/pirs.12758
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    2. Regolo, Julie & Gendre, Cédric & Poméon, Thomas, 2025. "Does the geographical indications protection policy encourage more sustainable agriculture in the territories? Moving from claims to empirical evidence," Ecological Economics, Elsevier, vol. 238(C).
    3. Elina De Simone & Mara Giua & Cristina Vaquero-Piñeiro, 2024. "Eat, visit, love. World heritage list and geographical indications: Joint acknowledgement and consistency as drivers of tourism attractiveness in Italy," Tourism Economics, , vol. 30(6), pages 1531-1556, September.
    4. Vaquero-Piñeiro, Cristina & Salvatici, Luca & Zago, Angelo, 2025. "Synergies among ownership forms and cooperating territories: The case of wine," Food Policy, Elsevier, vol. 135(C).
    5. Caravaggio, Nicola & Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2025. "Predicting policy funding allocation with Machine Learning," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    6. 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.
    7. Julie Regolo & Cédric Gendre & Thomas Poméon, 2025. "Does the geographical indications protection policy encourage more sustainable agriculture in the territories? Moving from claims to empirical evidence," Post-Print hal-05234723, HAL.
    8. Li, Jingwen & Wang, Jie, 2026. "From endowment to engine: the rural innovation effects of China’s specialty agricultural industries," Food Policy, Elsevier, vol. 138(C).

    More about this item

    Keywords

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    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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