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DC Field | Value | Language |
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dc.contributor.author | Dioikitopoulos, EV | - |
dc.contributor.author | Kalyvitis, S | - |
dc.date.accessioned | 2014-09-16T15:24:19Z | - |
dc.date.available | 2014-09-16T15:24:19Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Journal of Economic Dynamics and Control, 32(12), 3760 - 3779, 2008 | en_US |
dc.identifier.issn | 0165-1889 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0165188908000584 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9104 | - |
dc.description | This is the post-print version of the final paper published in Journal of Economic Dynamics and Control. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2008 Elsevier B.V. | en_US |
dc.description.abstract | In this paper we study an endogenous growth model, in which public maintenance expenditures affect the depreciation rate of public capital and the latter is subject to congestion. We find that economies with low congestion in public infrastructure will require a threshold level of public capital maintenance for ongoing growth. We also examine the fiscal implications of public capital maintenance policies and we find that the composition of public capital expenditures under congestion is a crucial determinant of optimal and growth-maximizing fiscal policies. The government can affect the return of public capital by re-allocating public expenditures between ‘new’ public investment and maintenance and hence avoid excessive taxation that is required under increasing congestion. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Public capital maintenance | en_US |
dc.subject | Congestion | en_US |
dc.subject | Optimal fiscal policies | en_US |
dc.title | Public capital maintenance and congestion: Long-run growth and fiscal policies | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.jedc.2008.04.001 | - |
pubs.organisational-data | /Brunel | - |
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pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance/Economics and Finance | - |
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pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
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pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Multidisclipary Assessment of Technology Centre for Healthcare (MATCH) | - |
Appears in Collections: | Economics and Finance Dept of Economics and Finance Research Papers |
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Fulltext.pdf | 218.79 kB | Adobe PDF | View/Open |
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