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Does Spatial Dependence Affect the Intention to Make Land Available for Bioenergy Crops?

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  • Theodoros Skevas
  • Ioannis Skevas
  • Scott M. Swinton

Abstract

We find spatial dependence in landowners’ stated intentions to make land available for bioenergy crops. Our data are generated from a contingent valuation survey of 599 owners of marginal land in southern Michigan. Employing a Bayesian framework and using these spatially explicit data, we estimate and compare non†spatial probit and spatial Durbin probit models to examine the presence of spatial dependence in land rental intentions. Results show that intentions to rent land for bioenergy crop production are spatially dependent. This spatial dependence arises both from the land supply intentions of nearby landowners and from spatial spillover effects of landowner characteristics and attitudes towards environmental amenities and the disamenities of land rental. We show that ignoring spatial dependence in the intentions of neighbouring landowners to participate in land rental markets for bioenergy feedstocks can lead to distortions that underestimate total effects. Our finding implies that studies of land use and crop supply should test for spatial interactions in order to make accurate inferences.

Suggested Citation

  • Theodoros Skevas & Ioannis Skevas & Scott M. Swinton, 2018. "Does Spatial Dependence Affect the Intention to Make Land Available for Bioenergy Crops?," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 393-412, June.
    • Handle: RePEc:bla:jageco:v:69:y:2018:i:2:p:393-412
    DOI: 10.1111/1477-9552.12233
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    Cited by:

    1. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    2. Subal C. Kumbhakar & Jingfang Zhang & Gudbrand Lien, 2023. "Locationally Varying Production Technology and Productivity: The Case of Norwegian Farming," Econometrics, MDPI, vol. 11(3), pages 1-20, August.
    3. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    4. Theodoros Skevas & Jasper Grashuis, 2020. "Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 111-126, January.
    5. Sarah Ann Wheeler & Ying Xu & Alec Zuo, 2020. "Modelling the climate, water and socio-economic drivers of farmer exit in the Murray-Darling Basin," Climatic Change, Springer, vol. 158(3), pages 551-574, February.
    6. Burli, Pralhad & Lal, Pankaj & Wolde, Bernabas & Jose, Shibu & Bardhan, Sougata, 2021. "Perceptions about switchgrass and land allocation decisions: Evidence from a farmer survey in Missouri," Land Use Policy, Elsevier, vol. 109(C).
    7. Ng'ombe, John N. & Boyer, Tracy A., 2019. "Determinants of earthquake damage liability assignment in Oklahoma: A Bayesian Tobit censored approach," Energy Policy, Elsevier, vol. 131(C), pages 422-433.
    8. Hongyun Zheng & Wanglin Ma & Gucheng Li, 2021. "Learning from neighboring farmers: Does spatial dependence affect adoption of drought‐tolerant wheat varieties in China?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 519-537, December.
    9. Kurkalova, Lyubov A. & Ghezehei, Solomon, 2022. "Economic potential of regional-scale production of short rotation woody crops on marginal cropland," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322458, Agricultural and Applied Economics Association.
    10. Van Deynze, B., 2018. "The Effects of Experience on Landowner Preferences over Bioenergy Feedstocks," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277001, International Association of Agricultural Economists.
    11. Elżbieta Antczak, 2021. "Analyzing Spatiotemporal Development of Organic Farming in Poland," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

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