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J Environ Manage. 2019 Jun 15;240:108-118. doi: 10.1016/j.jenvman.2019.03.103. Epub 2019 Mar 28.

Comparing three theories of participation in pro-environmental, collaborative governance networks.

Author information

1
University of the Basque Country (UPV/EHU), Institute of Applied Business Economics, Avenida Lehendakari Agirre 83, 48015, Bilbao, Spain. Electronic address: josemaria.barrutia@ehu.es.
2
University of the Basque Country (UPV/EHU), Institute of Applied Business Economics, Avenida Lehendakari Agirre 83, 48015, Bilbao, Spain. Electronic address: carmen.etxebarria@ehu.es.

Abstract

While several different theories have been proposed to explain why organizations participate in networks, there is no consensus on which motivations are most important. The aim of this research is to better understand attitudes of participants towards the networks of which they are members. We propose and test a model in the context of pro-environmental, collaborative governance networks. The model is based on three theories (i.e., Resource Dependence, Social Exchange, and Social Identity theories), which are represented by three variables (i.e., network resources, image enhancement and identification, respectively). As expected, the three variables are shown to have explanatory capacity, and interestingly, their co-presence generates synergistic effects. When comparing the relative explanatory power of these variables we find that Social Identity Theory, represented by identification, has the strongest influence on participation attitude in the form of an increasing returns effect. When network participants identify with their pro-environmental networks, a powerful motivational mechanism emerges: participants merge their own personal identity with the identity of the network, and their self-esteem is affected by the achievements of the network. Identification goes a long way in explaining participation attitudes, and deserves a major role in collaborative governance and collective action research.

KEYWORDS:

Government network; Identification; Image enhancement; Participation attitude; Resources

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