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Incentivizing the future adoption of best management practices on agricultural land to protect water resources: The role of past participation and experiences

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  • Liu, Haiyan
  • Brouwer, Roy

Abstract

Best Management Practices (BMPs) incentive programs have been introduced to protect agricultural land and reduce nutrient runoff in watersheds. However, their voluntary nature has not led to the expected high participation rates. We examine influencing factors and underlying drivers that are associated with BMP adoption and farmer preferences for specific BMPs. Data are collected through an online survey in Ontario, Canada in 2019. A binary logit model is estimated to explain current participation in BMP schemes and a multinomial logit model to predict preferences for future BMP uptake. Results show that a mix of farmer and farm characteristics and environmental attitudes explain both current participation in BMP schemes and the likelihood of adopting a future BMP. Farmers tend to endorse a BMP if they currently implement that BMP. The findings furthermore suggest that increasing farmers' environmental awareness and sharing positive BMP experiences with other farmers may help expand future BMP adoption in Ontario.

Suggested Citation

  • Liu, Haiyan & Brouwer, Roy, 2022. "Incentivizing the future adoption of best management practices on agricultural land to protect water resources: The role of past participation and experiences," Ecological Economics, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:ecolec:v:196:y:2022:i:c:s0921800922000519
    DOI: 10.1016/j.ecolecon.2022.107389
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    1. Guthrie, Graeme, 2024. "Farm debt and the over-exploitation of natural capital," Resource and Energy Economics, Elsevier, vol. 77(C).
    2. repec:ags:aaea22:335650 is not listed on IDEAS
    3. Abdul-Hamid, Asma-Qamaliah & Ali, Mohd Helmi & Osman, Lokhman Hakim & Tseng, Ming-Lang & Lim, Ming K., 2022. "Industry 4.0 quasi-effect between circular economy and sustainability: Palm oil industry," International Journal of Production Economics, Elsevier, vol. 253(C).
    4. Roy Brouwer & Rute Pinto & Jorge Garcia‐Hernandez & Xingtong Li & Merrin Macrae & Predrag Rajsic & Wanhong Yang & Yongbo Liu & Mark Anderson & Louise Heyming, 2023. "Spatial optimization of nutrient reduction measures on agricultural land to improve water quality: A coupled modeling approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(3-4), pages 329-353, September.
    5. Van Wyngaarden, Sarah & Anders, Sven & Davidson, Debra, 2024. "How farmer preferences and climate change beliefs shape BMP adoption," Agricultural Systems, Elsevier, vol. 217(C).
    6. Zohreh Hashemi Aslani & Vahid Nasiri & Carmen Maftei & Ashok Vaseashta, 2023. "Synergetic Integration of SWAT and Multi-Objective Optimization Algorithms for Evaluating Efficiencies of Agricultural Best Management Practices to Improve Water Quality," Land, MDPI, vol. 12(2), pages 1-20, February.

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