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Connecting Society and Policymakers? Conceptualizing and Measuring the Capacity of Civil Society Organizations to Act as Transmission Belts

Published online by Cambridge University Press:  01 January 2026

Adrià Albareda*
Affiliation:
Institute of Public Administration, Leiden University, Turfmarkt 99, 2511-DP, The Hague, The Netherlands
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Abstract

Civil Society Organizations (CSOs) are considered important intermediaries between citizens and policymakers. They are assumed to function as transmission belts that filter societal preferences and channel them to policymakers. Although the ability of CSOs to connect civil society with policymakers has been put into question, it has rarely been theoretically specified and empirically tested. This paper develops a conceptualization of CSOs that examines their capacity to function as transmission belts. It does so by distinguishing two organizational dimensions related to member involvement and organizational capacity. The paper draws on a large survey of CSOs active at the EU to empirically assess these organizational dimensions and relate them to basic CSOs’ characteristics. The findings indicate that one out of three organizations approximates the ideal-type transmission belt. The findings contribute to a better understanding and assessment of CSO’s potential contribution to policy-making in representative democracies.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
Copyright © The Author(s) 2018
Figure 0

Table 1 Measuring transmission belts: member involvement and organizational capacity

Figure 1

Table 2 Comparison of cluster characteristics (see footnote 6)

Figure 2

Table 3 Logistic regressions by cluster

Figure 3

Fig. 1 Dendrogram for Ward’s linkage cluster analysis

Figure 4

Fig. 2 Scatter plot of CSOs by cluster (weighted by %)

Figure 5

Table 4 Correlation matrix of organizational variables

Figure 6

Table 5 Descriptive statistics and correlation matrix of the four clusters and explanatory factors