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What’s the Problem? River Management, Education, and Public Beliefs

Overview of attention for article published in Ambio, March 2012
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106 Mendeley
Title
What’s the Problem? River Management, Education, and Public Beliefs
Published in
Ambio, March 2012
DOI 10.1007/s13280-012-0282-5
Pubmed ID
Authors

Michael Hughes, Betty Weiler, Jim Curtis

Abstract

This paper invokes the theory of planned behavior (TPB) as a diagnostic tool to explain an existing public education program's limited success at improving river water quality in the City of Perth, Western Australia. A reflective, client-driven research approach was used. A facilitated expert workshop defined an environmental problem (excess nutrients leaving gardens and entering waterways) and a desired behavior (residents purchasing environmentally sensitive fertilizer) to address the problem. A TPB-based belief elicitation survey captured respondents' beliefs regarding the desired behavior. The findings suggest respondents were aware of the links between purchasing environmentally sensitive fertilizer and river water quality. However, this behavior is compromised by the challenges in identifying appropriate products, product quality concerns, and cost. Viewing the content of a public education program through the lens of the TPB reveals insights into how and why the program fell short in achieving one of its key behavioral change goals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Master 19 18%
Student > Ph. D. Student 16 15%
Student > Bachelor 13 12%
Other 4 4%
Other 16 15%
Unknown 19 18%
Readers by discipline Count As %
Psychology 17 16%
Environmental Science 15 14%
Social Sciences 13 12%
Economics, Econometrics and Finance 7 7%
Decision Sciences 5 5%
Other 25 24%
Unknown 24 23%