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Analytics and Beliefs: Competing Explanations for Defining Problems and Choosing Allies and Opponents in Collaborative Environmental Management
Author(s) -
Weible Christopher M.,
Moore Richard H.
Publication year - 2010
Publication title -
public administration review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.721
H-Index - 139
eISSN - 1540-6210
pISSN - 0033-3352
DOI - 10.1111/j.1540-6210.2010.02203.x
Subject(s) - normative , multidisciplinary approach , legitimacy , policy sciences , process (computing) , analytics , management science , political science , sociology , public relations , psychology , computer science , politics , economics , data science , public administration , social science , law , operating system
The rationale for collaborative environmental management often hinges on two factors: first, specialized training creates biased analytics that require multidisciplinary approaches to solve policy problems; second, normative beliefs among competing actors must be included in policy making to give the process legitimacy and to decide trans‐scientific problems. These two factors are tested as drivers of conflict in an analysis of 76 watershed partnerships. The authors find that analytical bias is a secondary factor to normative beliefs; that depicting the primary driver of conflict in collaborative environmental management as between experts and nonexperts is inaccurate; that compared to the “life” and “physical” sciences, the social sciences and liberal arts have a stronger impact on beliefs and choice of allies and opponents; and that multiple measures are needed to capture the effect of analytical biases. The essay offers lessons for public administrators and highlights the limitations and generalizations of other governing approaches.