Corporate Taxes and the Assessment of Public Utility Operating Property

1940 ◽  
Vol 16 (3) ◽  
pp. 262
Author(s):  
James W. Martin
1945 ◽  
Vol 1 (2) ◽  
pp. 29-32
Author(s):  
Charles Tatham
Keyword(s):  

Author(s):  
Onome Christopher Edo ◽  
Anthony Okafor ◽  
Akhigbodemhe Emmanuel Justice

Objective – The purpose of this study is to investigate the effect of corporate taxes on the flow of Foreign Direct Investment (FDI) in Nigeria between 1983 and 2017. Methodology/Technique – This study adopts an ex-post facto research design. Secondary data was sourced from the World Bank Development Indicator, the Central Bank of Nigeria database, and the Federal Inland Revenue database. The research data was analyzed using the Error Correction Model (ECM). Findings – The coefficient of determination (R2) shows that approximately 77% of systematic changes in FDI are attributed to the combined effect of all of the explanatory variables used in this study. Specifically, the study concludes that Company Income Tax, Value Added Tax, and Custom and Excise Duties have a significant but negative relationship with FDI. In contrast, Tertiary Education Tax has a positive association with FDI. Further, Exchange Rate has a negative but significant relationship with FDI, Inflation had an insignificant but positive association with FDI, and GDP growth Rate and Trade Openness demonstrate a positive and significant association with FDI. Novelty – The findings of this study are distinguishable from previous studies, as it uncovers new evidence that higher Education Tax Rates influences FDI and emerging evidence on the effect of non-tax variables on FDI inflow. Type of Paper: Empirical. JEL Classification: E22, F21, H2, P33. Keywords: Corporate Taxes; Foreign Direct Investment; Error Correction Model; Nigeria; Non-Tax Variables. Reference to this paper should be made as follows: Edo, O.C; Okafor, A; Justice, A.E. 2020. Corporate Taxes and Foreign Direct Investment: An Impact Analysis, Acc. Fin. Review 5 (2): 28 – 43. https://doi.org/10.35609/afr.2020.5.2(1)


2018 ◽  
Author(s):  
Nathan Seegert ◽  
Matthew Smith ◽  
Elena Patel ◽  
Jeffrey L. Coles

2003 ◽  
Vol 3 (1-2) ◽  
pp. 441-447
Author(s):  
J. Davis ◽  
G. Cashin

This paper examines the similarities and differences between public and private ownership of water utilities, including variations such as corporatisation. In any utility where the asset owner and the asset operator are the same, there are pressures to reduce operations and maintenance costs and capital expenditure to maximise returns. The authors argue that this is the case irrespective of whether such returns are to private shareholders or dividends to government. On the other hand, where the asset owner and the asset operator are separate entities with a clearly defined contractual interface, it is not possible to increase returns by reducing operations and maintenance standards, presuming a properly constructed contract. This is because the performance standards are clearly stipulated in the contract with payment reductions applying for non-performance. Such a model can be put in place irrespective of whether the asset owner is a private company or a public utility. The paper examines the profit incentive applying to private and public sector organisations in models where:the asset owner and the asset operator are the same organisation;models where the asset owner and the asset operator are separate organisations, with the service delivery performance governed by a clearly defined contractual interface. The paper shows why the drivers governing the behaviour of public sector and private sector owners are similar, and how the separation of asset owner and asset operator can be used to ensure that service delivery standards are achieved at the lowest cost, whilst providing full transparency to shareholders, regulators and customers alike. The paper also reviews actual comparative data on service quality and performance under a number of ownership and contractual models, and draws conclusions on the effectiveness of the various asset owner/operator models in terms of service delivery performance and costs.


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