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Erschienen in: Environmental Management 2/2018

13.01.2018

How Participatory Should Environmental Governance Be? Testing the Applicability of the Vroom-Yetton-Jago Model in Public Environmental Decision-Making

verfasst von: Nikolas Lührs, Nicolas W. Jager, Edward Challies, Jens Newig

Erschienen in: Environmental Management | Ausgabe 2/2018

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Abstract

Public participation is potentially useful to improve public environmental decision-making and management processes. In corporate management, the Vroom-Yetton-Jago normative decision-making model has served as a tool to help managers choose appropriate degrees of subordinate participation for effective decision-making given varying decision-making contexts. But does the model recommend participatory mechanisms that would actually benefit environmental management? This study empirically tests the improved Vroom-Jago version of the model in the public environmental decision-making context. To this end, the key variables of the Vroom-Jago model are operationalized and adapted to a public environmental governance context. The model is tested using data from a meta-analysis of 241 published cases of public environmental decision-making, yielding three main sets of findings: (1) The Vroom-Jago model proves limited in its applicability to public environmental governance due to limited variance in its recommendations. We show that adjustments to key model equations make it more likely to produce meaningful recommendations. (2) We find that in most of the studied cases, public environmental managers (implicitly) employ levels of participation close to those that would have been recommended by the model. (3) An ANOVA revealed that such cases, which conform to model recommendations, generally perform better on stakeholder acceptance and environmental standards of outputs than those that diverge from the model. Public environmental management thus benefits from carefully selected and context-sensitive modes of participation.

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Fußnoten
1
The set of possible process options is adopted unchanged from the Vroom-Yetton model (Table 1). For further detail on the equations used and on the predetermined coefficients representing the four process types, see Appendices 1 and 2.
 
2
Sources searched include: BASE; Google Books; Google Scholar; GVK+; Science Direct; SciVerse Hub; Scopus; SpringerLink; SSRN; Web of Science; Wiley Interscience.
 
3
Inter-coder reliability G(q,k) = 0.73, Inter-coder agreement rwg = 0.7. Given the nature of the case survey method, which explicitly accommodates divergent coder interpretations (Larsson 1993), data quality is rather good. The full list of coded cases and references is available from the authors on request.
 
4
Using a reliability value assigned by each rater alongside each code as a weighting factor (i.e., confidence-based aggregation following Wagner et al. 2010).
 
5
For a complete description of variables see Newig et al. (2013). Further technical detail on the equations developed to combine and scale the variables to fit the model can be found in the supplementary material (supplement A). All variables relevant to this study are listed in supplement B.
 
6
The actual equation can be found in Appendix 5. actual decision mode was used only to determine whether decision-making was consensus-based. To this end, the nominal variable with six possible values was transformed into a binary operator: Where actual decision mode had a value of 5 or 6, corresponding to “relatively broad consensus” and “unanimity” respectively (Newig et al. 2013), an operator of 1 was assigned. Where actual decision mode had a value of 0 to 4, an operator of 0 was assigned.
 
7
A NIMBY (“not in my backyard”) situation is defined as one where there is general agreement on the need for a particular facility or activity, but disagreement on the appropriate location—and particularly strong resistance by people to its being located in their neighborhood or vicinity.
 
8
In theory, it would have been necessary to include a filter for calculating the mean recommendation. Because of the way the Vroom–Jago model is designed, it is conceivable that process A1 (=1) achieves the highest overall effectiveness value while process GII (=5) has the second highest. The resulting mean of 3 would not adequately reflect the recommendation of the model. Therefore, the mean was only calculated if the difference between first and second recommendation was smaller than or equal to two. In the end, however, no case of a difference larger than 2 was found.
 
9
For the equation used to determine the process option in each case see the Section “Data and Mathods: Adapting the Vroom-jago Model to Public (Environmental) Governance” above and Appendix 5.
 
10
Given the whole-number distance between process options and our calculation method also including the second recommendation, we interpret a difference between actual and recommended option in the (−0.5, +0.5)-interval as a match.
 
11
As the distribution of our sample is unbalanced, we use a Type III ANOVA. Test statistics and graphs for the assumptions of normality of model residuals and homogeneity of variance (Levene’s test) can be found in Table 3 and the supplementary material. Where assumptions were not met, we also report results of a robust Kruskal–Wallis test. For assessing the effect of process match on the Process Duration, i.e., the number of months a process took, we fitted a model based on a Quasi-Poisson distribution given that this variable represents count data.
 
12
These variables are independent from those used to calculate the metrics of participation. More detail and variable descriptions can be found in Supplement B.
 
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Metadaten
Titel
How Participatory Should Environmental Governance Be? Testing the Applicability of the Vroom-Yetton-Jago Model in Public Environmental Decision-Making
verfasst von
Nikolas Lührs
Nicolas W. Jager
Edward Challies
Jens Newig
Publikationsdatum
13.01.2018
Verlag
Springer US
Erschienen in
Environmental Management / Ausgabe 2/2018
Print ISSN: 0364-152X
Elektronische ISSN: 1432-1009
DOI
https://doi.org/10.1007/s00267-017-0984-3

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