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NGO Influence in International Organizations: Information, Access and Exchange

Published online by Cambridge University Press:  15 September 2015

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Abstract

While there is broad consensus that non-governmental organizations (NGOs) sometimes succeed in influencing policy making within international organizations (IOs), there is much less agreement on the factors that make NGO lobbying effective. This article makes two contributions to this debate. First, the determinants of influence among NGOs active in different IOs, issue areas and policy phases are examined. The analysis builds on original survey data of more than 400 NGOs involved in five different IOs, complemented by elite interviews with IO and state officials. Secondly, the article advances a specific argument about how the strategic exchange of information and access between NGOs and IOs increases NGO influence in IOs. This argument, derived from theories of lobbying in American and European politics, is contrasted with three alternative explanations of NGO influence, privileging material resources, transnational networks and public opinion mobilization, and the broader implications of these results for research on NGOs in global governance are explored.

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Articles
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© Cambridge University Press 2015 
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Table 1 Survey Details

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Table 2 Descriptive Statistics

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Table 3 Regression Analysis of NGO Influence in the UN

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Fig. 1 Information-access exchange logic in the UNNote: unstandardized coefficients from linear regressions of influence and ordered logistic regressions of access. N=173, df=13, AIC=1,158, BIC=1,199. **p<0.05, ***p<0.01

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Fig. 2 Information-access exchange logic in the UNEPNote: figures show unstandardized coefficients from linear regressions of influence and ordered logistic regressions of access. N=55, df=12, AIC=352, BIC=376. ***p<0.01

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Table 4 Regression Analysis of NGO Influence in the UNEP

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Fig. 3 Information-access exchange logic in the AU, CoE and OASNote: figures show unstandardized coefficients from linear regressions of influence and ordered logistic regressions of access. N=57, df=13, AIC=384, BIC=410. ***p<0.01

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Table 5 Regression Analysis of NGO Influence in the AU, CoE and OAS

Supplementary material: Link

Tallberg et al Dataset

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Supplementary material: PDF

Tallberg supplementary material

Appendix

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