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Adoption of agroforestry-based biofuel systems in South India

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  • Dalemans, F.
  • Muys, B.
  • Maertens, M.

Abstract

Agroforestry-based biofuel production has recently been proposed as a rural development strategy in the South. However, there exists a complete lack of empirical evidence on farmer adoption rates and determinants for these novel systems. This study describes adoption rates of oilseed tree mixtures on smallholder farms in Hassan district, South India, and quantifies how these rates are determined by a biofuel extension program (BP) and farm(er) characteristics. This is done through a set of regression-based analyses, addressing various forms of selection bias. The findings reveal that although 60% of the farmers cultivate oilseed trees, oilseed collection rates are generally low (13%), and the adoption of both practices is driven by different determinants. More specifically, BP activities are found to stimulate tree cultivation and therefore agroforestry establishment, but not seed collection and biofuel production. This calls for a better understanding of adoption profitability in function of the opportunity costs of land, labour and capital involved, and conditional on these results for intensifying BP activities and value chain development. Acknowledgement : Thanks go to the UAS Bangalore Department of Agricultural Extension and all individual enumerators for their assistance in data collection and data entry. We would also like to thank the Biofuel Park Hassan staff for their scientific support and for their assistance in data collection. This work was supported by the Research Foundation Flanders (FWO) [Aspirant PhD grant].

Suggested Citation

  • Dalemans, F. & Muys, B. & Maertens, M., 2018. "Adoption of agroforestry-based biofuel systems in South India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276990, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:276990
    DOI: 10.22004/ag.econ.276990
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. Soto, Iria & Achten, Wouter M.J. & Muys, Bart & Mathijs, Erik, 2015. "Who benefits from energy policy incentives? The case of jatropha adoption by smallholders in Mexico," Energy Policy, Elsevier, vol. 79(C), pages 37-47.
    5. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    6. Kumar Biswas, Pradip & Pohit, Sanjib, 2013. "What ails India's biodiesel programme?," Energy Policy, Elsevier, vol. 52(C), pages 789-796.
    7. van Eijck, Janske & Romijn, Henny & Balkema, Annelies & Faaij, André, 2014. "Global experience with jatropha cultivation for bioenergy: An assessment of socio-economic and environmental aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 869-889.
    8. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    9. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    10. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
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