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Assessing farmers' willingness to supply biomass as energy feedstock: Cereal straw in Apulia (Italy)

Author

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  • Giannoccaro, Giacomo
  • de Gennaro, Bernardo C.
  • De Meo, Emilio
  • Prosperi, Maurizio

Abstract

Cereal straw currently has end-uses such as animal bedding and feeding, but there are no official statistics regarding the fraction of straw that is not used. Although cereal straw is an abundant source of biomass still largely unexploited for energy purposes, the feedstock market interplay with current straw uses (e.g. animal bedding and feeding) and on-farm practices (e.g. chopped and incorporated) is still unknown. This research used farmers' stated preferences to assess the supply curve (i.e. amount and price) of cereal straw for bio-energy purposes. In addition, we performed an econometric regression on the straw price demanded by farmers (willingness to accept). A sample of data gathered in 2014 from 203 cereal growers in Apulia region (southern Italy) was used, and the results show that more than half of respondents would sell their cereal straw on the feedstock market, and that the preferred sales method is in-swath. The price requested would be higher (15.15EURha−1) than that currently applied on the local straw market (12.00EURha−1). Explanatory factors refer to farmers who currently burn stubble on-field, farmers involved in Agro-Environmental Schemes or contract provision, farmers with off-farm employment and farms with larger areas dedicated to cereals.

Suggested Citation

  • Giannoccaro, Giacomo & de Gennaro, Bernardo C. & De Meo, Emilio & Prosperi, Maurizio, 2017. "Assessing farmers' willingness to supply biomass as energy feedstock: Cereal straw in Apulia (Italy)," Energy Economics, Elsevier, vol. 61(C), pages 179-185.
    • Handle: RePEc:eee:eneeco:v:61:y:2017:i:c:p:179-185
    DOI: 10.1016/j.eneco.2016.11.009
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    4. Prosperi, Maurizio & Lombardi, Mariarosaria & Spada, Alessia, 2019. "Ex ante assessment of social acceptance of small-scale agro-energy system: A case study in southern Italy," Energy Policy, Elsevier, vol. 124(C), pages 346-354.
    5. Zuo, Alec & Hou, Lingling & Huang, Zeying, 2020. "How does farmers' current usage of crop straws influence the willingness-to-accept price to sell?," Energy Economics, Elsevier, vol. 86(C).
    6. Massfeller, Anna & Meraner, Manuela & Hüttel, Silke & Uehleke, Reinhard, 2022. "Farmers' acceptance of results-based agri-environmental schemes: A German perspective," Land Use Policy, Elsevier, vol. 120(C).
    7. Antonio Baselice & Mariarosaria Lombardi & Maurizio Prosperi & Antonio Stasi & Antonio Lopolito, 2021. "Key Drivers of the Engagement of Farmers in Social Innovation for Marginalised Rural Areas," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
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    9. Pulighe, Giuseppe & Bonati, Guido & Colangeli, Marco & Morese, Maria Michela & Traverso, Lorenzo & Lupia, Flavio & Khawaja, Cosette & Janssen, Rainer & Fava, Francesco, 2019. "Ongoing and emerging issues for sustainable bioenergy production on marginal lands in the Mediterranean regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 58-70.
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    11. Gérard, Maxence & Jayet, Pierre-Alain, 2023. "European farmers’ response to crop residue prices and implications for bioenergy policies," Energy Policy, Elsevier, vol. 177(C).
    12. Hong Chen & Haoyan Wang & Yanqiu Li, 2023. "Research on Government Regulations, Cognition and Farmers’ Willingness of Straw-to-Field," Sustainability, MDPI, vol. 15(12), pages 1-13, June.
    13. Maxence Gérard & Pierre-Alain Jayet, 2023. "European farmers’ response to crop residue prices and implications for bioenergy policies [Réponse des agriculteurs européens aux prix des résidus de cultures et implications pour les politiques bi," Post-Print hal-04071932, HAL.
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    More about this item

    Keywords

    Bio-energy; Farmers; Feedstock market; Heckman model; Willingness to accept;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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