IDEAS home Printed from https://ideas.repec.org/p/ags/iaae24/344256.html

Competitiveness and resilience dynamics in the Italian olive sector: An in-depth analysis

Author

Listed:
  • Lambarraa-Lehnhardt, Fatima
  • Rosati, Adolfo
  • Hasnain, Syeda Aleena
  • Turchetti, Luca

Abstract

This paper investigates the interaction among potential and revealed resilience capacities, technical efficiency, and total factor productivity (TFP) in Italian olive farms using FADN data from 2013-2019. To achieve this objective, we use principal component analysis for evaluating potential resilience indicators and a stochastic frontier model (SFM) to assess farms' competitiveness and evaluate the impact of resilience measures on farms' efficiency and productivity. Results show that Italian olive farms exhibit higher resilience in transformability, followed by robustness and adaptability. Resilience indicators negatively impact technical efficiency. TFP growth is notably influenced by adaptability. Results suggest that balancing competitiveness and resilience is crucial to achieving a sustainable farming system. To face climate change challenges, policies should facilitate transitions to a climate-resilient farming system by incentivizing investments in climate adaptive technologies and designing careful subsidy programs that emphasize the long-term resilience benefits of sustainable farming practices rather than considering immediate efficiency gains. Farmer support through training and collaborative networks is vital to strengthening farms' adaptability and transformability capacities.

Suggested Citation

  • Lambarraa-Lehnhardt, Fatima & Rosati, Adolfo & Hasnain, Syeda Aleena & Turchetti, Luca, 2024. "Competitiveness and resilience dynamics in the Italian olive sector: An in-depth analysis," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344256, International Association of Agricultural Economists (IAAE).
  • Handle: RePEc:ags:iaae24:344256
    DOI: 10.22004/ag.econ.344256
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/344256/files/21495.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.344256?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fatima Lambarraa & Spiro Stefanou & Teresa Serra & José M. Gil, 2009. "The impact of the 1999 CAP reforms on the efficiency of the COP sector in Spain," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 355-364, May.
    2. Maria Raimondo & Francesco Caracciolo & Concetta Nazzaro & Giuseppe Marotta, 2021. "Organic Farming Increases the Technical Efficiency of Olive Farms in Italy," Agriculture, MDPI, vol. 11(3), pages 1-15, March.
    3. Mark Brady & Konrad Kellermann & Christoph Sahrbacher & Ladislav Jelinek, 2009. "Impacts of Decoupled Agricultural Support on Farm Structure, Biodiversity and Landscape Mosaic: Some EU Results," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(3), pages 563-585, September.
    4. Kenichi Kashiwagi & Hajime Kamiyama, 2023. "Effect of adoption of organic farming on technical efficiency of olive-growing farms: empirical evidence from West Bank of Palestine," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-28, December.
    5. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    6. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    7. Thomas Slijper & Yann de Mey & P Marijn Poortvliet & Miranda P M Meuwissen, 2022. "Quantifying the resilience of European farms using FADN," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 121-150.
    8. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, March.
    9. Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
    10. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).
    11. Meuwissen, Miranda P.M. & Feindt, Peter H. & Spiegel, Alisa & Termeer, Catrien J.A.M. & Mathijs, Erik & de Mey, Yann & Finger, Robert & Balmann, Alfons & Wauters, Erwin & Urquhart, Julie & Vigani, Mau, 2019. "A framework to assess the resilience of farming systems," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 176, pages 1-10.
    12. Anna Gaviglio & Rosalia Filippini & Fabio Albino Madau & Maria Elena Marescotti & Eugenio Demartini, 2021. "Technical efficiency and productivity of farms: a periurban case study analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-18, December.
    13. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    16. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    17. Sneessens, Inès & Sauvée, Loïc & Randrianasolo-Rakotobe, Hanitra & Ingrand, Stéphane, 2019. "A framework to assess the economic vulnerability of farming systems: Application to mixed crop-livestock systems," Agricultural Systems, Elsevier, vol. 176(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. repec:ags:cfcp15:344256 is not listed on IDEAS
    2. Thomas Slijper & Yann de Mey & P Marijn Poortvliet & Miranda P M Meuwissen, 2022. "Quantifying the resilience of European farms using FADN," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 121-150.
    3. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    4. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
    5. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    6. Deng, Yaguo & Wiper, Michael Peter & Lopes Moreira da Veiga, María Helena, 2024. "A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity," DES - Working Papers. Statistics and Econometrics. WS 43837, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Stefano Mainardi, 2021. "Correction to: Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 211-211, June.
    8. Radha R. Ashrit, 2023. "Estimation of technical efficiency of Indian farms for major crops during 2013–2014 and 2017–2018: a stochastic Frontier production approach," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.
    9. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    10. Hanousek, Jan & Kočenda, Evžen & Shamshur, Anastasiya, 2015. "Corporate efficiency in Europe," Journal of Corporate Finance, Elsevier, vol. 32(C), pages 24-40.
    11. Graziella Bonanno & Annalisa Ferrando & Stefania Patrizia Sonia Rossi, 2023. "Do innovation and financial constraints affect the profit efficiency of European enterprises?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 57-86, March.
    12. Alejandro Arvelo-Martín & Juan José Díaz-Hernández & Ignacio Abásolo-Alessón, 2019. "Hospital productivity bias when not adjusting for cost heterogeneity: The case of Spain," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    13. Birara Endalew & Adugnaw Anteneh & Kassahun Tasie, 2022. "Technical Efficiency of Teff Production Among Smallholder Farmers: Beta Regression Approach," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 1076-1096, April.
    14. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    15. repec:diw:diwwpp:dp716 is not listed on IDEAS
    16. Liu, Fengqin & Sim, Jae-yeon & Sun, Huaping & Edziah, Bless Kofi & Adom, Philip Kofi & Song, Shunfeng, 2023. "Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective," China Economic Review, Elsevier, vol. 77(C).
    17. Hongzhou Li & Andrea Appolloni & Yijie Dou & Vincenzo Basile & Maria Kopsakangas-Savolainen, 2024. "A parametric method to estimate environmental energy efficiency with non-radial adjustment: an application to China," Annals of Operations Research, Springer, vol. 342(3), pages 1379-1405, November.
    18. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    19. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    20. Kangile, Rajabu Joseph, 2015. "Efficiency In Production By Smallholder Rice Farmers Under Cooperative Irrigation Schemes In Pwani And Morogoro Regions, Tanzania," Research Theses 265681, Collaborative Masters Program in Agricultural and Applied Economics.
    21. Veronika Fenyves & Tibor Tarnóczi & Zoltán Bács & Dóra Kerezsi & Péter Bajnai & Mihály Szoboszlai, 2022. "Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 413-426.
    22. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.

    More about this item

    Keywords

    ;
    ;
    ;

    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:ags:iaae24:344256. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.