IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v59y2023i2d10.1007_s11123-023-00659-2.html
   My bibliography  Save this article

Analyzing the land and labour productivity of farms producing renewable energy: the Italian case study

Author

Listed:
  • Antonella Basso

    (Ca’ Foscari University of Venice)

  • Maria Bruna Zolin

    (Ca’ Foscari University of Venice)

Abstract

The paper computes and analyses some relevant indicators of economic performance of Italian farms producing/not producing renewable energy, and compares the economic results of the two set of farms. The source of data is the European Farm Accountant Data Network; the farms belonging to this network are analysed in relation to their structural differences, type of farming, geographical areas, economic size, as well as the type of renewable energy produced. After an in-depth statistical investigation, the main economic ratios are computed and analysed using also multivariate regression models, with a special focus on the production of solar and biogas energy. In terms of land and labour productivity and fixed factor remuneration, the results show that farms producing renewable energy perform better than the other farms. This positive effect is particularly accentuated in large companies that produce biogas, followed by farms that produce solar energy. There are still many obstacles that limit the production of renewable energy in agriculture; among these, still insufficient research and information on best practices in agriculture and, in Italy, the complexity and dispersion of the institutional legislative framework and of the public support systems. However, the need to increase the production of renewable energy has become a priority for many European countries both in the short- and in the medium term, especially in light of recent events related to the war in Ukraine.

Suggested Citation

  • Antonella Basso & Maria Bruna Zolin, 2023. "Analyzing the land and labour productivity of farms producing renewable energy: the Italian case study," Journal of Productivity Analysis, Springer, vol. 59(2), pages 153-172, April.
  • Handle: RePEc:kap:jproda:v:59:y:2023:i:2:d:10.1007_s11123-023-00659-2
    DOI: 10.1007/s11123-023-00659-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11123-023-00659-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11123-023-00659-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dorward, Andrew, 2013. "Agricultural labour productivity, food prices and sustainable development impacts and indicators," Food Policy, Elsevier, vol. 39(C), pages 40-50.
    2. Tomasz Rokicki & Aleksandra Perkowska & Bogdan Klepacki & Piotr Bórawski & Aneta Bełdycka-Bórawska & Konrad Michalski, 2021. "Changes in Energy Consumption in Agriculture in the EU Countries," Energies, MDPI, vol. 14(6), pages 1-21, March.
    3. Coppola, Adele & Scalera, Domenico & Tosco, Domenico, 2013. "Economic profitability and long-term viability in Italian agriculture," Politica Agricola Internazionale - International Agricultural Policy, Edizioni L'Informatore Agrario, vol. 2013(1), March.
    4. Adele Coppola & Alfonso Scardera & Mario Amato & Fabio Verneau, 2020. "Income Levels and Farm Economic Viability in Italian Farms: An Analysis of FADN Data," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    5. Tate, Graham & Mbzibain, Aurelian & Ali, Shaukat, 2012. "A comparison of the drivers influencing farmers' adoption of enterprises associated with renewable energy," Energy Policy, Elsevier, vol. 49(C), pages 400-409.
    6. Cai, Mattia & Cusumano, Niccolò & Lorenzoni, Arturo & Pontoni, Federico, 2017. "A comprehensive ex-post assessment of RES deployment in Italy: Jobs, value added and import leakages," Energy Policy, Elsevier, vol. 110(C), pages 234-245.
    7. Ballarin, A. & Vecchiato, D. & Tempesta, T. & Marangon, F. & Troiano, S., 2011. "Biomass energy production in agriculture: A weighted goal programming analysis," Energy Policy, Elsevier, vol. 39(3), pages 1123-1131, March.
    8. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2014. "Oil price shocks and agricultural commodity prices," Energy Economics, Elsevier, vol. 44(C), pages 22-35.
    9. Giannakis, Elias & Bruggeman, Adriana, 2018. "Exploring the labour productivity of agricultural systems across European regions: A multilevel approach," Land Use Policy, Elsevier, vol. 77(C), pages 94-106.
    10. Kailash C. Sharma & D.S. Prasada Rao & W.F. Shepherd, 1990. "Productivity of Agricultural Labour and Land: An International Comparison," Agricultural Economics, International Association of Agricultural Economists, vol. 4(1), pages 1-12, April.
    11. Sophia Davidova & Matthew Gorton & Tomas Ratinger & Katarzyna Zawalinska & Belen Iraizoz, 2005. "Farm Productivity and Profitability: A Comparative Analysis of Selected New and Existing EU Member States1," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 47(4), pages 652-674, December.
    12. Bartolini, Fabio & Gava, Oriana & Brunori, Gianluca, 2017. "Biogas and EU's 2020 targets: Evidence from a regional case study in Italy," Energy Policy, Elsevier, vol. 109(C), pages 510-519.
    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. Baležentis, Tomas & Li, Tianxiang & Chen, Xueli, 2021. "Has agricultural labor restructuring improved agricultural labor productivity in China? A decomposition approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    2. Zuzana Hloušková & Michaela Lekešová & Anna Prajerová & Tomáš Doucha, 2022. "Assessing the Economic Viability of Agricultural Holdings with the Inclusion of Opportunity Costs," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    3. Joanna Bereznicka & Ludwik Wicki, 2021. "Do Farm Subsidies Improve Labour Efficiency in Farms in EU Countries?," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 925-937.
    4. Tomasz Rokicki & Aleksandra Perkowska & Bogdan Klepacki & Piotr Bórawski & Aneta Bełdycka-Bórawska & Konrad Michalski, 2021. "Changes in Energy Consumption in Agriculture in the EU Countries," Energies, MDPI, vol. 14(6), pages 1-21, March.
    5. Artur Wilczyński & Ewa Kołoszycz, 2021. "Economic Resilience of EU Dairy Farms: An Evaluation of Economic Viability," Agriculture, MDPI, vol. 11(6), pages 1-14, May.
    6. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
    7. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    8. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    9. Aharon, David Y. & Azman Aziz, Mukhriz Izraf & Kallir, Ido, 2023. "Oil price shocks and inflation: A cross-national examination in the ASEAN5+3 countries," Resources Policy, Elsevier, vol. 82(C).
    10. Xian, Hui & Colson, Gregory & Karali, Berna & Wetzstein, Michael, 2017. "Do nonrenewable-energy prices affect renewable-energy volatility? The case of wood pellets," Journal of Forest Economics, Elsevier, vol. 28(C), pages 42-48.
    11. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    12. Loretta Mastroeni & Alessandro Mazzoccoli & Greta Quaresima & Pierluigi Vellucci, 2021. "Wavelet analysis and energy-based measures for oil-food price relationship as a footprint of financialisation effect," Papers 2104.11891, arXiv.org, revised Mar 2022.
    13. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
    14. Zhao, Weigang & Cao, Yunfei & Miao, Bo & Wang, Ke & Wei, Yi-Ming, 2018. "Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction," Energy Economics, Elsevier, vol. 71(C), pages 359-369.
    15. Curtiss, Jarmila & Jelínek, Ladislav & Hruška, Martin & Medonos, Tomáš & Vilhelm, Václav, 2013. "The Effect of Heterogeneous Buyers on Agricultural Land Prices: The Case of the Czech Land Market," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 62(2).
    16. Fasanya, Ismail & Akinbowale, Seun, 2019. "Modelling the return and volatility spillovers of crude oil and food prices in Nigeria," Energy, Elsevier, vol. 169(C), pages 186-205.
    17. Danilo Đokić & Bojan Matkovski & Marija Jeremić & Ivan Đurić, 2022. "Land Productivity and Agri-Environmental Indicators: A Case Study of Western Balkans," Land, MDPI, vol. 11(12), pages 1-13, December.
    18. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    19. Zbigniew Gołaś, 2022. "Changes in Energy-Related Carbon Dioxide Emissions of the Agricultural Sector in Poland from 2000 to 2019," Energies, MDPI, vol. 15(12), pages 1-18, June.
    20. Maximilian Kardung & Kutay Cingiz & Ortwin Costenoble & Roel Delahaye & Wim Heijman & Marko Lovrić & Myrna van Leeuwen & Robert M’Barek & Hans van Meijl & Stephan Piotrowski & Tévécia Ronzon & Johanne, 2021. "Development of the Circular Bioeconomy: Drivers and Indicators," Sustainability, MDPI, vol. 13(1), pages 1-24, January.

    More about this item

    Keywords

    Q01; Q42; Q56;
    All these keywords.

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    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:kap:jproda:v:59:y:2023:i:2:d:10.1007_s11123-023-00659-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.