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Pro profits or non-profits? A principal-agent model for analyzing public sector planning decisions and empirical results from planning applications in Hong Kong by K.W. Chau; Lennon H.T. Choy; Mark H. Chua; Lawrence W.C. Lai; Esther H.K. Yung is a Social Sciences article available to read on EtoBox.

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This paper introduces a principal-agent analysis of the public sector decisions made by a non-democratic planning body under public scrutiny. The central idea is that divergence between the interests of the principal (citizens), whose objective is to maximize the total value of the land in Hong Kong, and the agent (planning approval authority), whose concern is about Approval Risk, which is the agent's risk of being accused of collusion or even bribery. This principal-agent analysis can be applied to any public-sector decision-making process in a society with the rule of law and freedom of speech. It was found by a logit analysis of 1440 sets of disaggregate data that planning applications by non-profit applicants for uses in Government/Institution/Community (GIC) zones were more likely to be approved than those by for-profit private organizations, in line with the idea of a lower perceived Approval Risk. Amongst the applications by private organizations, proposed high-value land uses were less likely to be approved than those proposed for low-value uses, probably because the former results in potentially higher economic gain for the applicants. The legislative change that took eff

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Author

K.W. Chau; Lennon H.T. Choy; Mark H. Chua; Lawrence W.C. Lai; Esther H.K. Yung

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Social Sciences