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Factors determining awareness and knowledge of aquatic invasive species

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  • Eiswerth, Mark E.
  • Yen, Steven T.
  • van Kooten, G. Cornelis

Abstract

Public perceptions of invasive species may influence policies and programs initiated by public and private stakeholders. We investigate the determinants of the public's awareness and knowledge of invasive species as few studies have examined this relationship. We focus on aquatic invasive species (AIS) and employ survey data from property owners in a lake district. A major contribution is that we estimate a mixed trivariate binary-ordered probit regression model that accommodates correlations among unobserved characteristics, produces statistically more efficient estimates, and allows a more proper investigation of the probability of knowledge conditional on awareness. Our results provide insights for invasive species education and management programs. We find that individuals are more likely to be aware of AIS if they participate in water-based recreation, visit lakes outside their area, have a boat, belong to a lake association, or are college educated. This has a policy implication: Given high levels of AIS awareness by those most involved in activities around lakes and those with a higher education, it may be beneficial to target informational campaigns at those who do not display these characteristics, so that they can better make informed decisions about whether to support and expend money on invasive species management programs.

Suggested Citation

  • Eiswerth, Mark E. & Yen, Steven T. & van Kooten, G. Cornelis, 2011. "Factors determining awareness and knowledge of aquatic invasive species," Ecological Economics, Elsevier, vol. 70(9), pages 1672-1679, July.
    • Handle: RePEc:eee:ecolec:v:70:y:2011:i:9:p:1672-1679
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    1. Leitch, Jay A. & Leistritz, F. Larry & Bangsund, Dean A., 1994. "Economic Effect of Leafy Spurge in the Upper Great Plains: Methods, Models, and Results," Agricultural Economics Reports 23196, North Dakota State University, Department of Agribusiness and Applied Economics.
    2. Mark E. Eiswerth & G. Cornelis Van Kooten, 2007. "Dynamic Programming and Learning Models for Management of a Nonnative Species," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(4), pages 485-498, December.
    3. Mark Eiswerth & Wayne Johnson, 2002. "Managing Nonindigenous Invasive Species: Insights from Dynamic Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(3), pages 319-342, November.
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    1. Diendéré, Achille & Nguyen, Geneviève & Del Corso, Jean-Pierre & Kephaliacos, Charilaos, 2018. "Modeling the Relationship Between Pesticide Use and Farmers' Beliefs about Water Pollution in Burkina Faso," Ecological Economics, Elsevier, vol. 151(C), pages 114-121.
    2. Yu Gan & Tao Xu & NengRui Xu & JiLv Xu & Dan Qiao, 2021. "How Environmental Awareness and Knowledge Affect Urban Residents’ Willingness to Participate in Rubber Plantation Ecological Restoration Programs: Evidence from Hainan, China," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    3. Touza, Julia & Pérez-Alonso, Alicia & Chas-Amil, María L. & Dehnen-Schmutz, Katharina, 2014. "Explaining the rank order of invasive plants by stakeholder groups," Ecological Economics, Elsevier, vol. 105(C), pages 330-341.
    4. Alexander Petre & Jeffrey Wagner, 2013. "Green Consumption under Misperceived Prices: An Application to Active Transportation," Southern Economic Journal, John Wiley & Sons, vol. 80(1), pages 187-204, July.

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