Political competition and debt: evidence from New Zealand local governments
Bikram Chatterjee,
Sukanto Bhattacharya,
Grantley Taylor and
Brian West
Accounting Research Journal, 2019, vol. 32, issue 3, 344-361
Abstract:
Purpose - This paper aims to investigate whether the amount of local governments’ debt can be predicted by the level of political competition. Design/methodology/approach - The study uses the artificial neural network (ANN) to test whether ANN can “learn” from the observed data and make reliable out-of-sample predictions of the target variable value (i.e. a local government’s debt level) for given values of the predictor variables. An ANN is a non-parametric prediction tool, that is, not susceptible to the common limitations of regression-based parametric forecasting models, e.g. multi-collinearity and latent non-linear relations. Findings - The study finds that “political competition” is a useful predictor of a local government’s debt level. Moreover, a positive relationship between political competition and debt level is indicated, i.e. increases in political competition typically leads to increases in a local government’s level of debt. Originality/value - The study contributes to public sector reporting literature by investigating whether public debt levels can be predicted on the basis of political competition while discounting factors such as “political ideology” and “fragmentation”. The findings of the study are consistent with the expectations posited by public choice theory and have implications for public sector auditing, policy and reporting standards, particularly in terms of minimising potential political opportunism.
Keywords: New Zealand; Debt (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eme:arjpps:arj-11-2016-0146
DOI: 10.1108/ARJ-11-2016-0146
Access Statistics for this article
Accounting Research Journal is currently edited by Professor Reza Monem
More articles in Accounting Research Journal from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().