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Stakeholder scrutiny, urban bias, and the private provision of public goods

Published online by Cambridge University Press:  21 November 2017

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Abstract

While many scholars have studied “urban bias” in public policy, the potential for bias in the private provision of public goods has received little attention. Private certification is a mechanism encouraging private provision of environmental public goods. We show that within countries, there are often wide disparities in certification rates between firms located in urban and non-urban areas. However, these disparities can be mitigated if there is a countervailing force: scrutiny of firms' practices by key stakeholders. We suggest that the presence of strong civil society, independent media, a functioning state regulatory apparatus, and multinational owners can ameliorate the urban bias in certification uptakes. We test this argument with global, firm-level data covering over 40,000 firms in ninety-three countries. Our analyses suggest that an urban bias is mitigated when stakeholders—both public and private—have the freedom and capacity to scrutinize firms' activities.

Information

Type
Research Article
Copyright
Copyright © V.K. Aggarwal 2017 and published under exclusive license to Cambridge University Press 
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Table 1: Results of Hierarchical Logistic Regression Models of ISO Certification.

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Figure 1: Results of models 3 and 4, showing effect of increase in city size (using either standard or dichotomous versions of the variable) at different levels of country-level environmental civil society.

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Figure 2: Results of models 5 and 6, showing effect of increase in city size (using either standard or dichotomous versions of the variable) at different levels of country-level media freedom.

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Figure 3: Results of models 7 and 8, showing effect of increase in city size (using either standard or dichotomous versions of the variable) at different levels of country-level regulatory quality.

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Figure 4: Results of models 9 and 10, showing effect of increase in city size (using either standard or dichotomous versions of the variable) at different levels of firm-level foreign ownership.

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Table A: Countries included in the analysis.

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