<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">WJET</journal-id><journal-title-group><journal-title>World Journal of Engineering and Technology</journal-title></journal-title-group><issn pub-type="epub">2331-4222</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjet.2021.93032</article-id><article-id pub-id-type="publisher-id">WJET-110908</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  Bureaucratic Factors Impeding the Delivery of Infrastructure at the Metropolitan Municipal and District Assemblies (MMDAs) in Ghana
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Joe</surname><given-names>Kingsley Hackman</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Joshua</surname><given-names>Ayarkwa</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dickson</surname><given-names>Osei-Asibey</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alex</surname><given-names>Acheampong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Prince</surname><given-names>Asher Nkrumah</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Construction Technology and Management, Kwame Nkrumah University of Science and Technology (KNUST), Ku-masi, Ghana</addr-line></aff><pub-date pub-type="epub"><day>15</day><month>07</month><year>2021</year></pub-date><volume>09</volume><issue>03</issue><fpage>482</fpage><lpage>502</lpage><history><date date-type="received"><day>7,</day>	<month>May</month>	<year>2021</year></date><date date-type="rev-recd"><day>25,</day>	<month>July</month>	<year>202</year>	</date><date date-type="accepted"><day>28,</day>	<month>July</month>	<year>202</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Decentralisation of infrastructure delivery to sub-national governments has become commonplace in governments worldwide especially in developing countries such as Ghana. This is due to the benefits of decentralisation in improving public service delivery. However, decentralised infrastructure delivery is marred with numerous challenges that render most local governments incapable of providing infrastructure within their localities. This paper explored the bureaucratic factors that impede infrastructure delivery at the MMDAs in Ghana. A questionnaire survey with 121 construction professionals in the Departments of Works (DoWs) of the MMDAs within the Ashanti and Greater Accra Regions of Ghana was conducted. The results indicated six (6) major components of the bureaucratic factors that impede the delivery of infrastructure at the MMDAs: Central government bureaucracy; Minimal control of MMDAs; Political influence; MMDA project funding; Lack of capacity of MMDAs; and Political interference. This paper calls for a more committed central government to the establishment of adequate decentralised structures and implementation of major reforms that would remove the bureaucratic obstacles in the delivery of infrastructure at the MMDAs, to ensure effective infrastructure delivery at the MMDAs.
 
</p></abstract><kwd-group><kwd>Bureaucratic</kwd><kwd> Factors</kwd><kwd> Decentralisation</kwd><kwd> Infrastructure Delivery</kwd><kwd> District Assemblies</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Decentralisation has been regarded as the major institutional framework for economic growth and development in the last decades around the world [<xref ref-type="bibr" rid="scirp.110908-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.110908-ref2">2</xref>]. A major significance of decentralisation is the enhancement of the generation of revenue at the local level, provision of infrastructure, and ensuring the adequacy of resources provided to the local government. Experts in decentralisation believe that local governments can aid in the provision of infrastructure and reduction of poverty if they are provided with adequate resources. Decentralisation is aimed at re-structuring the systems of government in a manner in which it can satisfactorily provide services to the populace. Decentralisation of infrastructure delivery to sub-national governments has hence become a worldwide trend for governments, especially in developing countries like Ghana [<xref ref-type="bibr" rid="scirp.110908-ref3">3</xref>]. This is because the quantity and quality of infrastructure needed to propel rapid economic development are absent in most developing African countries [<xref ref-type="bibr" rid="scirp.110908-ref4">4</xref>]. Organisation for Economic Co-operation and Development/African Center for Economic Transformation (OECD/ACET) [<xref ref-type="bibr" rid="scirp.110908-ref5">5</xref>] asserted that African countries lag behind in terms of infrastructure development due to unclear infrastructure policy frameworks. In analyzing the concept of decentralised infrastructure and local governance, several major issues continuously show up [<xref ref-type="bibr" rid="scirp.110908-ref6">6</xref>]. Decentralisation of infrastructure delivery at the local government levels is faced with numerous challenges that cripple the efforts of local governments in their delivery of infrastructure [<xref ref-type="bibr" rid="scirp.110908-ref7">7</xref>].</p><p>In Ghana, the central government controls most of the activities to be undertaken by the local governments (i.e. the MMDAs), almost rendering them inefficient [<xref ref-type="bibr" rid="scirp.110908-ref8">8</xref>]. The practice of decentralisation requires that the MMDAs carry out some of the responsibilities which hitherto were being performed by the central government [<xref ref-type="bibr" rid="scirp.110908-ref9">9</xref>]. Hence, the MMDAs in Ghana are tasked with the responsibilities of providing administrative, fiscal, social services and amenities to their communities. However, most of these MMDAs are under excessive bureaucratic control from the central government (i.e. National, Regional, Political, Administrative and Technical control, etc.) [<xref ref-type="bibr" rid="scirp.110908-ref10">10</xref>]. Bureaucratic control of the MMDAs by central government agencies is, therefore, a predominant challenge affecting decentralised infrastructure delivery in Ghana. For instance, most of the decisions, including rules and regulations, are made solely by the central authorities. According to Ringo and Mollel [<xref ref-type="bibr" rid="scirp.110908-ref11">11</xref>], local governments are unable to make important decisions independently because many legal provisions make them dependent on the central government. The MMDAs in Ghana are not allowed to take centre stage in most infrastructure projects delivery decisions including the autonomy to recruit their staff or cater for their staffing needs. Also, with regards to the selection of contractors to undertake infrastructure projects at the local level, the MMDAs often have little roles to play in that [<xref ref-type="bibr" rid="scirp.110908-ref12">12</xref>]. Most of these contractors are selected on a political basis [<xref ref-type="bibr" rid="scirp.110908-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.110908-ref14">14</xref>] and this renders the MMDAs no choice but to work with these contractors even if they are not competent enough to execute the works, thereby affecting the delivery of quality infrastructure [<xref ref-type="bibr" rid="scirp.110908-ref15">15</xref>]. Ngware and Haule [<xref ref-type="bibr" rid="scirp.110908-ref16">16</xref>] asserted that for local governments to be able to thrive in sustainable grassroots social development, they must have the unregulated power to serve the local people rather than act as agents for the central government. Again, decentralisation reforms in Ghana lag behind most of its competitors due to lack of commitment and stringent bureaucratic interference from Central Government agencies [<xref ref-type="bibr" rid="scirp.110908-ref17">17</xref>]. These agencies are not fully committed to the implementation of major reforms to ensure effective delivery of infrastructure at the MMDAs. Gaining the support and commitment of central government officials for decentralisation is very critical. Decentralisation of infrastructure can be improved by limiting the interference of the central government in the operations of the MMDAs including the delivery of infrastructure. Although the central government needs to maintain sufficient control over the MMDAs, these controls should not, in any way, interfere with their task of delivering infrastructure.</p><p>The unwillingness of the central government to relinquish or share power has been a major impediment to effective decentralisation in the country [<xref ref-type="bibr" rid="scirp.110908-ref18">18</xref>]. Politicians have, more often than not, used the slogan of decentralisation as rhetoric to strengthen their power base rather than improving the quality of governance in the government [<xref ref-type="bibr" rid="scirp.110908-ref19">19</xref>]. Although decentralisation brought some positive results in some countries, in most parts it had yielded modest or low results. The sought powers and autonomy which decentralisation processes are keen to distribute downward are significantly held by central authorities [<xref ref-type="bibr" rid="scirp.110908-ref11">11</xref>]. According to Olaseni and Alade [<xref ref-type="bibr" rid="scirp.110908-ref4">4</xref>], the Public Procurement Act of Ghana, 2003 (Act 663) and the Amendment Act, 2016 (Act 914) being the main legal requirement for ensuring transparency in public infrastructure delivery, hardly achieve value for money construction projects to the Ghanaian taxpayer; and have been subjected to abuse due to bureaucratic controls from central government agencies [<xref ref-type="bibr" rid="scirp.110908-ref20">20</xref>]. The bureaucratic challenges faced by the MMDAs in Ghana hamper their ability to effectively deliver decentralised infrastructure. Therefore, this paper had the objective of assessing the bureaucratic factors that impede the delivery of infrastructure at the MMDAs in Ghana with the view to improving infrastructure development in Ghana, particularly at the local level.</p></sec><sec id="s2"><title>2. Review of Related Previous Research</title><p>Decentralisation of infrastructure delivery has been one of the prime mandates of governments all over the world, and Ghana is no exception. Infrastructure which includes roads, power, water, sanitation, and airports, among others are the fundamental prerequisite for economic growth and development [<xref ref-type="bibr" rid="scirp.110908-ref21">21</xref>]. The provision of adequate infrastructure is essential for sustained and inclusive growth. Studies across the world have consistently shown the close relationship between decentralised infrastructure and the strength of economic output [<xref ref-type="bibr" rid="scirp.110908-ref22">22</xref>]. However, the effectiveness of delivering decentralised infrastructure projects has been adversely impacted by excessive bureaucracy in public procurement [<xref ref-type="bibr" rid="scirp.110908-ref23">23</xref>]. There are various definitions of the term “bureaucracy”; but, historically, the first to use and describe it was Max Weber. He believed bureaucracy was the most efficient way to set up an organisation or administration. Karimi et al. [<xref ref-type="bibr" rid="scirp.110908-ref23">23</xref>] p. 67 defined bureaucracy as “the administrative structure and set of regulations in place to control (rationalize, render effective and professionalize) activities, usually in large organisations and government”. The benefits of bureaucracy include enhanced efficiency, logic, and rationality in organisations [<xref ref-type="bibr" rid="scirp.110908-ref24">24</xref>]. However, it tends to lead to inflexibility and rigidity, which hampers decision-making and creates a general inability to respond to rapid changes or crises [<xref ref-type="bibr" rid="scirp.110908-ref25">25</xref>]. Bureaucracy creates the centralisation of power, authority, and responsibilities, thereby resulting in delays and inefficiencies of local governments in delivering infrastructure [<xref ref-type="bibr" rid="scirp.110908-ref23">23</xref>]. Many local governments in developing countries in Africa have been unable to provide huge urban infrastructure in the face of challenges such as inadequate logistics to support effective revenue mobilization, low rates of tax collection, under-declaring of revenues by revenue collectors, political interference, and corruption, among many others [<xref ref-type="bibr" rid="scirp.110908-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.110908-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.110908-ref28">28</xref>], which can be associated with excessive bureaucracy.</p><p>Several bureaucratic factors hinder the efforts of the MMDAs in the delivery of infrastructure. In Ghana, lack of funding is often cited as the biggest impediment to decentralised infrastructure delivery in Ghana [<xref ref-type="bibr" rid="scirp.110908-ref29">29</xref>]. Most local governments in developing countries lack the financial capacity to do the job [<xref ref-type="bibr" rid="scirp.110908-ref30">30</xref>]. This creates difficulties on the part of the MMDAs in executing infrastructure delivery and causes many projects to be left hanging. However, a recent study by Martin Williams of the London School of Economics, supported by the International Growth Centre (IGC), suggests that a bigger constraint to infrastructure delivery in Ghana may be from the institutional management of such projects [<xref ref-type="bibr" rid="scirp.110908-ref29">29</xref>]. Hence, infrastructure delivery at the local level often requires the establishment of an efficient institutional framework to ensure effective implementation [<xref ref-type="bibr" rid="scirp.110908-ref31">31</xref>]. Moreover, Kissi et al. [<xref ref-type="bibr" rid="scirp.110908-ref13">13</xref>] opined that there is growing concern over the unsuccessful delivery of infrastructural projects in various Works Departments at the MMDAs in Ghana. There exists inefficient delivery of infrastructure at the MMDAs, and this has led to low confidence in local government authorities in terms of the delivery of decentralised infrastructure. An important avenue for improving infrastructure delivery, therefore, lies in rationalising the institutional mechanisms which underpin the funding sources and ensuring that MMDAs complete existing projects before starting new ones [<xref ref-type="bibr" rid="scirp.110908-ref29">29</xref>]. Togba [<xref ref-type="bibr" rid="scirp.110908-ref32">32</xref>] asserted that constraints such as limited resources, weak institutional capacity, inadequate mechanisms of accounting and accountability, and limited availability of information are major challenges to the delivery of infrastructure at the local level. Weak institutional capacity is one of the major challenges debilitating against the effective delivery of infrastructure by the MMDAs [<xref ref-type="bibr" rid="scirp.110908-ref33">33</xref>].</p><p>The greatest challenge to local government’s delivery of infrastructure has been the lack of political commitment of the central government to decentralize infrastructure [<xref ref-type="bibr" rid="scirp.110908-ref18">18</xref>]. Bhattacharya et al. [<xref ref-type="bibr" rid="scirp.110908-ref34">34</xref>] highlighted that infrastructure being long term requires large upfront investments, and generates cash flows only after many years. Most present governments reject the policies of the previous government and set new ones, reshuffle the DoWs making the delivery of infrastructure at the MMDAs difficult. Infrastructure delivery at the MMDAs requires a strong political will and commitment of central government agencies for the implementation of major reforms to ensure effective infrastructure delivery at the MMDAs [<xref ref-type="bibr" rid="scirp.110908-ref17">17</xref>].</p><p>Political influence is another significant bureaucratic factor that impedes the effective delivery of infrastructure at the MMDAs [<xref ref-type="bibr" rid="scirp.110908-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.110908-ref35">35</xref>]. There are often attempts made by political leaders to influence the procurement processes where they bring in party-faithful for the award of contracts [<xref ref-type="bibr" rid="scirp.110908-ref13">13</xref>]. Most often the contractors brought in are not competent enough to execute the works resulting in the poor delivery of infrastructure. According to Asante [<xref ref-type="bibr" rid="scirp.110908-ref36">36</xref>] p. 70, “In many areas of business, success comes down to who you know rather than what you know. This is especially true of government contracts where political affiliations can make all the difference in securing a contract. Political pressures influence contract decisions such as awarding many contracts to a particular contractor at a time; not based on competition and also awarding contracts without making budget allocations”. Other cases of political influences can be identified where when there is a change in government (i.e. change in the political party that rules the country), projects are given to new contractors who are political party affiliates, as well as the abandonment of started projects by previous governments to commence new ones. A study conducted by Damoah et al. [<xref ref-type="bibr" rid="scirp.110908-ref37">37</xref>] suggests that government deliberately abandon projects and then re-award them to their party members. Changes in government always leave most government agencies like MMDAs in dilemma and almost not knowing what to do during the first year of the new government, especially where the new government is from a different political party.</p><p>According to Bertucci [<xref ref-type="bibr" rid="scirp.110908-ref38">38</xref>], poor coordination within local governments adversely affects their infrastructure delivery capacity. Problems with coordination may occur as per the organogram of the MMDAs. A serious problem that has arisen is that of horizontal and vertical coordination between agencies belonging to different levels of government [<xref ref-type="bibr" rid="scirp.110908-ref14">14</xref>]. This has created problems of duplication or gaps in the provision of synergy in the utilisation of resources. Poor coordination between different stages and types of government, long delays in permit issuance, and major difficulties with land acquisition have led to major delays for even those projects where funding was available. This often discourages private investors from participating in public-private partnerships [<xref ref-type="bibr" rid="scirp.110908-ref39">39</xref>]. These coordination problems are particularly serious in schemes for drinking water and sanitation, irrigation, roads, etc., where the financial requirements and technical complexity require involvement by higher levels of government [<xref ref-type="bibr" rid="scirp.110908-ref39">39</xref>]. Furthermore, one of the major problems faced by the MMDAs is the central control of infrastructure procurement [<xref ref-type="bibr" rid="scirp.110908-ref8">8</xref>]. This is a situation where the procurement of infrastructural works at the local level is massively controlled by central authorities resulting in delays in major construction projects. Infrastructure procurement at the MMDAs is usually embedded in lots of bureaucracy requiring extensive authorisation procedures thereby, making procurement a tedious, laborious and slow process [<xref ref-type="bibr" rid="scirp.110908-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.110908-ref40">40</xref>].</p></sec><sec id="s3"><title>3. Methodology</title><p>To explore the bureaucratic factors that impede the delivery of infrastructure at the MMDAs in Ghana, the research followed the quantitative approach and surveyed with structured questionnaires. This agrees with Creswell [<xref ref-type="bibr" rid="scirp.110908-ref41">41</xref>] who asserted that the quantitative approach to research allows for the use of structured questionnaire surveys and enables researchers to generalise their findings from a sample of the population. The quantitative research approach is appropriate for a research where the researcher has some information of his population. Questionnaire survey also helps to provide trends in the population [<xref ref-type="bibr" rid="scirp.110908-ref42">42</xref>]. The questionnaire consisted of two parts namely demographic or background information of the respondents, and bureaucratic factors that impede the delivery of infrastructure at the MMDAs in Ghana. The first part comprised the job position, academic qualification, and resident District Assembly (DA) of respondents as well as their years of working experience in the MMDAs. DAs connote the Metropolitan Municipal and District Assemblies as interpreted by Section 234 of the Local Governance Act, 2016 (Act 936). The second part had 22 factors that were obtained from an extensive review of extant literature. The questionnaires were distributed to construction professionals in the Department of Works (DoWs) of the various MMDAs in the Ashanti and Greater Accra Regions of Ghana. The Greater Accra and Ashanti Regions of Ghana are viewed as the most urbanised, populated, and rapidly growing regions in Ghana, and hence, almost all infrastructure developmental activities are focused in these two regions [<xref ref-type="bibr" rid="scirp.110908-ref43">43</xref>]. The selection of the Greater Accra and Ashanti Regions of Ghana as units of analysis for the study was therefore appropriate since the DoWs of the MMDAs within these regions are usually engaged with a lot of infrastructure projects and are endowed with construction professionals with enough practical experience in infrastructure delivery. According to the Works Departments Operational Manual [<xref ref-type="bibr" rid="scirp.110908-ref44">44</xref>], the DoWs are the bodies under the DAs that ensure the effective implementation of infrastructural works (building, water, and feeder roads) related policies and programmes at the local level. The study considered all three (3) Metropolitan Assemblies in the two (2) Regions and employed a simple ratio sampling approach to select Municipal and District Assemblies from the remaining Municipal and District Assemblies in alphabetical order. By employing the simple ratio approach, two (2) was chosen as the common multiple for the selection. Hence, every 2<sup>nd</sup>, 4<sup>th</sup>, 6<sup>th</sup>, etc. within the Municipal Assemblies and District Assemblies were selected. In all, a total of 36 MMDAs were obtained representing 3 Metropolitan Assemblies, 19 Municipal Assemblies, and 14 District Assemblies. Out of this, a total of 150 construction professionals were purposively sampled and were required to respond to the questionnaires. Considering the limited number of construction professionals in each DoWs of the MMDAs in Ghana, this number of professionals sampled is considered adequate for the study. Purposive sampling involves the use of the researcher’s discretion to select a sample which per his understanding possesses the knowledge and expertise needed to provide the requisite information for the study [<xref ref-type="bibr" rid="scirp.110908-ref45">45</xref>]. The data collected was encoded using the Statistical Package for Social Sciences (SPSS) Version 23. The results were carefully analysed statistically using descriptive statistics (frequencies and mean score) and principal component analysis. Kendall’s Coefficient of Concordance was used to ascertain the level of agreement between the variables.</p></sec><sec id="s4"><title>4. Results and Discussion</title><p>The results and discussion of both the demographic or background data of the respondents and the data relating to the objectives of the study are presented below. The data gathered from the construction professionals in the DoWs across the selected MMDAs in the Ashanti and Greater Accra Regions of Ghana were analysed and discussed. Out of a total number of 150 questionnaires administered to the respondents, 121 were retrieved, representing a response rate of 81 per cent, which were used for the analysis. In any research, a return of more than 50 per cent is acceptable and reliable [<xref ref-type="bibr" rid="scirp.110908-ref9">9</xref>].</p><sec id="s4_1"><title>4.1. Demographic Characteristics of the Respondents</title><p>The descriptive statistics of the demographics were studied to enable the researcher to evaluate the respondent’s characteristics relevant to the study. This was done to enhance the understanding of the participants’ profile and increase the degree of confidence in the data reliability and precision. According to Ahadzie [<xref ref-type="bibr" rid="scirp.110908-ref46">46</xref>], the background information of respondents is required to authenticate the credibility of the data gathered. The aim of presenting the background data of respondents who take part in a study is to enhance the confidence in the reliability of the data collected [<xref ref-type="bibr" rid="scirp.110908-ref47">47</xref>]. The questionnaires covered the job position or title of respondents, academic qualification, and the number of years spent in the MMDAs. Regarding the job position or title of the respondents, 28 per cent of them were Engineers, 26 per cent were Technical Officers, 17 per cent were Architects, 12 percent each were Quantity Surveyors and Heads of Departments, 3 per cent were Project Managers, whiles 2 per cent of the respondents were Estate Managers. When asked about their academic qualification, the majority (41 per cent) had an undergraduate degree, 37 per cent of the respondents had a master’s degree, and the remaining (22 per cent) had either HND or City and Guilds Certificates. Also, regarding the number of years spent in the MMDAs, 34 per cent of the respondents surveyed had more than 5 years’ experience in the various MMDAs, 30 per cent had 3 - 5 years’ working experience, whiles a total of 30 per cent of the respondents had 1 - 2 years’ working experience in the various MMDAs. Only 7 per cent had less than 1-year of working experience in the MMDAs. This indicates that the respondents have enough experience in construction and as such the information obtained from them can be regarded as credible and reliable.</p></sec><sec id="s4_2"><title>4.2. Bureaucratic Factors That Impede the Delivery of Infrastructure at the MMDAs</title><p>The study aimed to explore the bureaucratic factors that impede the delivery of infrastructure at the MMDAs. For this purpose, mean scores and principal component analysis were employed to analyse the quantitative data collected.</p><sec id="s4_2_1"><title>4.2.1. Mean Score Ranking</title><p>According to Cheng and Li [<xref ref-type="bibr" rid="scirp.110908-ref48">48</xref>], the mean score ranking technique is used to test the significance of factors. A Likert scale of 1 - 5 (1 = least important and 5 = most important) was used in the questionnaires to aid the respondents in rating their level of agreement to the 22 bureaucratic barriers identified. Mean scores were used to rank the bureaucratic factors that impede the delivery of infrastructure at the MMDAs. Factors with the lowest standard deviation are given the highest rank in situations where two or more factors have the same mean score [<xref ref-type="bibr" rid="scirp.110908-ref49">49</xref>]. <xref ref-type="table" rid="table1">Table 1</xref> shows the mean scores, standard deviation, and ranks of the bureaucratic barriers. The mean score ranking of the bureaucratic barriers was followed by principal component analysis.</p><p>From <xref ref-type="table" rid="table1">Table 1</xref>, slow implementation of decentralisation reforms by the central government was ranked 1st with a mean of 3.12. Line ministries’ resistance to decentralisation was ranked 2nd with a mean of 2.95. Both the 6th and 7th factors had equal mean values. In such circumstances, the factor with the lowest standard deviation is ranked higher and the factor with the higher standard deviation is ranked lower.</p><p>To properly offer a descriptive analysis of these values in <xref ref-type="table" rid="table1">Table 1</xref>, it is imperative to determine a theoretical mean for the analysis. The theoretical mean is defined as the mean for the possible sample means obtained and is sometimes termed as the population mean [<xref ref-type="bibr" rid="scirp.110908-ref50">50</xref>]. From the study it can be calculated as:</p><p>μ π = ∑ π / n</p><p>where; ∑π = the sum of all the means obtained for each variable;</p><p>n = the total number of variables.</p><p>The theoretical mean for the analysis was determined as:</p><p>&#181;𝜋 = 58.83/22;</p><p>&#181;𝜋 = 2.67.</p><p>Hence, the theoretical mean was found to be 2.67. As such, all mean scores that fell below this mean were deemed not important and vice versa. Hence, for a scale of 1 - 5, a mean of 2.67 or more means the factor is important. The mean scores for the factors ranged between 3.12 for the highest to 2.29 for the lowest.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Mean score ranking of bureaucratic barriers</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >S/N</th><th align="center" valign="middle" >Bureaucratic Barriers</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >Rank</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >Slow implementation of decentralisation reforms</td><td align="center" valign="middle" >3.12</td><td align="center" valign="middle" >1.106</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >Line ministries’ resistance to decentralisation</td><td align="center" valign="middle" >2.95</td><td align="center" valign="middle" >1.104</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >Regional controls</td><td align="center" valign="middle" >2.89</td><td align="center" valign="middle" >0.928</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >Manipulation of stakeholders</td><td align="center" valign="middle" >2.87</td><td align="center" valign="middle" >1.089</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >Use of inefficient political contractors for infrastructure project delivery</td><td align="center" valign="middle" >2.82</td><td align="center" valign="middle" >1.112</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >6</td><td align="center" valign="middle" >Corruption in infrastructure procurement</td><td align="center" valign="middle" >2.80</td><td align="center" valign="middle" >0.898</td><td align="center" valign="middle" >6</td></tr><tr><td align="center" valign="middle" >7</td><td align="center" valign="middle" >Control of appointments/promotions at the MMDAs</td><td align="center" valign="middle" >2.80</td><td align="center" valign="middle" >0.944</td><td align="center" valign="middle" >7</td></tr><tr><td align="center" valign="middle" >8</td><td align="center" valign="middle" >Political elite influence</td><td align="center" valign="middle" >2.74</td><td align="center" valign="middle" >1.116</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" >9</td><td align="center" valign="middle" >Project location selection</td><td align="center" valign="middle" >2.72</td><td align="center" valign="middle" >1.033</td><td align="center" valign="middle" >9</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >Regime change</td><td align="center" valign="middle" >2.70</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >11</td><td align="center" valign="middle" >Slow disbursement of project funding</td><td align="center" valign="middle" >2.69</td><td align="center" valign="middle" >1.072</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >12</td><td align="center" valign="middle" >Central control of infrastructure procurement delaying construction projects</td><td align="center" valign="middle" >2.68</td><td align="center" valign="middle" >0.769</td><td align="center" valign="middle" >12</td></tr><tr><td align="center" valign="middle" >13</td><td align="center" valign="middle" >Interference with legal mandate of MMDAs by MDAs</td><td align="center" valign="middle" >2.62</td><td align="center" valign="middle" >0.844</td><td align="center" valign="middle" >13</td></tr><tr><td align="center" valign="middle" >14</td><td align="center" valign="middle" >Imposition of decisions</td><td align="center" valign="middle" >2.61</td><td align="center" valign="middle" >1.059</td><td align="center" valign="middle" >14</td></tr><tr><td align="center" valign="middle" >15</td><td align="center" valign="middle" >Inadequate project financing</td><td align="center" valign="middle" >2.60</td><td align="center" valign="middle" >0.76</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle" >16</td><td align="center" valign="middle" >Lack of stakeholders’ consultation on infrastructure delivery policies</td><td align="center" valign="middle" >2.53</td><td align="center" valign="middle" >0.891</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle" >17</td><td align="center" valign="middle" >Lack of political commitment to decentralised infrastructure delivery</td><td align="center" valign="middle" >2.52</td><td align="center" valign="middle" >0.711</td><td align="center" valign="middle" >17</td></tr><tr><td align="center" valign="middle" >18</td><td align="center" valign="middle" >Poor coordination within the MMDAs</td><td align="center" valign="middle" >2.50</td><td align="center" valign="middle" >0.78</td><td align="center" valign="middle" >18</td></tr><tr><td align="center" valign="middle" >19</td><td align="center" valign="middle" >Complicated system of financial transfers to local governments</td><td align="center" valign="middle" >2.48</td><td align="center" valign="middle" >0.769</td><td align="center" valign="middle" >19</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >Lack of transparency in infrastructure project selection</td><td align="center" valign="middle" >2.47</td><td align="center" valign="middle" >0.881</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >21</td><td align="center" valign="middle" >Lack of involvement of MMDAs in project selection</td><td align="center" valign="middle" >2.43</td><td align="center" valign="middle" >1.109</td><td align="center" valign="middle" >21</td></tr><tr><td align="center" valign="middle" >22</td><td align="center" valign="middle" >Inadequate control on tax bases for infrastructure delivery</td><td align="center" valign="middle" >2.29</td><td align="center" valign="middle" >0.847</td><td align="center" valign="middle" >22</td></tr></tbody></table></table-wrap><p>Out of the 22 bureaucratic factors, 12 factors had their mean values greater than 2.67 namely: Slow implementation of decentralisation reforms by the central government; Line ministries’ resistance to decentralisation; Regional controls; Manipulation of stakeholders; Use of inefficient political contractors for infrastructural project delivery; Corruption in infrastructure procurement; Control of appointments/promotions at the MMDAs; Political elite influence; Project location selection; Regime change; Slow disbursement of project funding; and Central control of infrastructure procurement delaying construction projects, and hence were deemed important.</p></sec><sec id="s4_2_2"><title>4.2.2. Kendall’s Coefficient of Concordance</title><p>In ascertaining the overall agreement amongst sets of ranking, Kendall’s Coefficient of concordance was used. Kendall’s Coefficient of Concordance test was used to confirm the reliability of the five-point scales by measuring the internal consistency among the various factors. For Kendall’s W, “no agreement” and “complete agreement” are represented by the values 0 and +1 respectively, from a range 0 to +1. The Kendall’s W value for bureaucratic barriers was 0.035 as shown in <xref ref-type="table" rid="table2">Table 2</xref>. This means that the five-point scale used was reliable and the factors that were measured had internal consistency.</p></sec><sec id="s4_2_3"><title>4.2.3. Principal Component Analysis</title><p>The study employed principal component analysis to reveal the key or principal significance barriers from the large set of 22 bureaucratic factors. This was achieved by grouping the bureaucratic barriers into broad categories. Principal component analysis was more appropriate because the variables were many [<xref ref-type="bibr" rid="scirp.110908-ref51">51</xref>]. The suitability of the principal component analysis was tested using the Kaiser-Meyer-Olkin (KMO) measure of adequacy and Bartlett’s test sphericity. From the data analysis, the KMO test was 0.753 (<xref ref-type="table" rid="table3">Table 3</xref>), suggesting that the data set was appropriate as they have exceeded the recommended threshold of 0.5 [<xref ref-type="bibr" rid="scirp.110908-ref52">52</xref>], and good as the KMO ranged between 0.7 and 0.8 [<xref ref-type="bibr" rid="scirp.110908-ref51">51</xref>].</p><p>From the principal component analysis, six (6) bureaucratic barrier components were obtained namely: Central government bureaucracy; Minimal control of MMDAs; Political influence; MMDA project funding; Lack of capacity of MMDAs; and Political interference. The six (6) principal components and their associated variables are shown in <xref ref-type="table" rid="table4">Table 4</xref>.</p></sec><sec id="s4_2_4"><title>4.2.4. Discussion of Bureaucratic Barriers Impeding Infrastructure Delivery at the MMDAs</title><p>Component 1:Central Government Bureaucracy</p><p>The principal component accounts for 17.077 per cent of the total variance</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Kendall’s Coefficient of Concordanc</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  >N</th><th align="center" valign="middle" >121</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Kendall’s W<sup>a</sup></td><td align="center" valign="middle" >0.035</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Chi-Square</td><td align="center" valign="middle" >135.892</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Df</td><td align="center" valign="middle" >33</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Asymp. Sig.</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Monte Carlo Sig.</td><td align="center" valign="middle"  colspan="2"  >Sig.</td><td align="center" valign="middle" >0.000<sup>b</sup></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >99% Confidence Interval</td><td align="center" valign="middle" >Lower Bound</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >Upper Bound</td><td align="center" valign="middle" >0.000</td></tr></tbody></table></table-wrap><p>a. Kendall’s Coefficient of Concordance; b. Based on 10,000 sampled tables with starting seed 2,000,000.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> KMO and Bartlett’s test</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Kaiser-Meyer-Olkin Measure of Sampling Adequacy.</th><th align="center" valign="middle" >0.753</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Bartlett’s Test of Sphericity</td><td align="center" valign="middle" >Approx. Chi-Square</td><td align="center" valign="middle" >821.582</td></tr><tr><td align="center" valign="middle" >df</td><td align="center" valign="middle" >231</td></tr><tr><td align="center" valign="middle" >Sig.</td><td align="center" valign="middle" >0.000</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Extracted variables and their attributes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Bureaucratic Factors</th><th align="center" valign="middle" >Loadings</th><th align="center" valign="middle" >Eigenvalue</th><th align="center" valign="middle" >% of Variance explained</th><th align="center" valign="middle" >Cumulative % Variance explained</th></tr></thead><tr><td align="center" valign="middle" >Component 1: Central Government Bureaucracy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.757</td><td align="center" valign="middle" >17.077</td><td align="center" valign="middle" >17.077</td></tr><tr><td align="center" valign="middle" >Central control of infrastructure procurement delaying construction projects</td><td align="center" valign="middle" >0.695</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lack of political commitment to decentralised infrastructure delivery</td><td align="center" valign="middle" >0.577</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lack of transparency in infrastructure project selection</td><td align="center" valign="middle" >0.724</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Corruption in infrastructure procurement</td><td align="center" valign="middle" >0.577</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Component 2: Minimal Control of MMDAs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.002</td><td align="center" valign="middle" >13.647</td><td align="center" valign="middle" >30.725</td></tr><tr><td align="center" valign="middle" >Imposition of decisions</td><td align="center" valign="middle" >0.751</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Slow implementation of decentralisation reforms</td><td align="center" valign="middle" >0.792</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Regional controls</td><td align="center" valign="middle" >0.641</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Component 3: Political Influence</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.798</td><td align="center" valign="middle" >8.171</td><td align="center" valign="middle" >38.896</td></tr><tr><td align="center" valign="middle" >Political elite influence</td><td align="center" valign="middle" >0.685</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Project location selection</td><td align="center" valign="middle" >0.575</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Regime change</td><td align="center" valign="middle" >0.750</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Manipulation of stakeholders</td><td align="center" valign="middle" >0.709</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Use of inefficient political contractors for infrastructural project delivery</td><td align="center" valign="middle" >0.709</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Line ministries’ resistance to decentralisation</td><td align="center" valign="middle" >0.493</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Component 4: MMDA Project Funding</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.739</td><td align="center" valign="middle" >7.903</td><td align="center" valign="middle" >46.799</td></tr><tr><td align="center" valign="middle" >Slow disbursement of project funding</td><td align="center" valign="middle" >0.717</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Inadequate project financing</td><td align="center" valign="middle" >0.550</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Complicated system of financial transfers to local governments</td><td align="center" valign="middle" >0.706</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Component 5: Lack of capacity of MMDAs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.654</td><td align="center" valign="middle" >7.517</td><td align="center" valign="middle" >54.315</td></tr><tr><td align="center" valign="middle" >Poor coordination within the MMDAs</td><td align="center" valign="middle" >0.615</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lack of involvement of MMDAs in project selection</td><td align="center" valign="middle" >0.686</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Inadequate control on tax bases for infrastructure delivery</td><td align="center" valign="middle" >0.550</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lack of stakeholders’ consultation on infrastructure provision policies</td><td align="center" valign="middle" >0.683</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Component 6: Political Interference</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.269</td><td align="center" valign="middle" >5.770</td><td align="center" valign="middle" >60.085</td></tr><tr><td align="center" valign="middle" >Control of appointments or promotions</td><td align="center" valign="middle" >0.676</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Interference with legal mandate of MMDAs by MDAs</td><td align="center" valign="middle" >0.835</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>and contains four specific variables (<xref ref-type="table" rid="table4">Table 4</xref>). The bureaucratic factors making up this component are Central control of infrastructure procurement delaying construction projects, Lack of political commitment to decentralised infrastructure delivery, Lack of transparency in infrastructure project selection, and Corruption in infrastructure procurement. The central government controls most of the activities of the MMDAs almost making them ineffective. According to Amoako-Asiedu and Domfeh [<xref ref-type="bibr" rid="scirp.110908-ref8">8</xref>], the central government’s inability to devolve completely authority to the local governments to operate fully makes the delivery of decentralised infrastructure difficult. Local governments, being to a large extent established by the central government, are hence not immune from central control [<xref ref-type="bibr" rid="scirp.110908-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.110908-ref53">53</xref>]. Article 240 of the 1992 Constitution of Ghana prescribes a devolved form of decentralisation where there is a transfer of authority for decision-making, a sound financial base with adequate and reliable sources of revenue, and management from the central government to the local governments. However, the central government still performs many functions that should be moved to the district level and controls the majority of regional and district financial resources [<xref ref-type="bibr" rid="scirp.110908-ref8">8</xref>]. Award of contracts, recruitment and payment of staff, payment of contractors at the MMDAs, are examples of what is done by the central government instead of the MMDAs. Moreover, the provision of decentralised infrastructure is greatly affected by the lack of political commitment of central government agencies to the implementation of major reforms to ensure effective delivery of infrastructure by the MMDAs [<xref ref-type="bibr" rid="scirp.110908-ref17">17</xref>]. In Ghana, the central government agencies mandated to provide decentralised infrastructure include Ghana Education Trust Fund (GETFund) [<xref ref-type="bibr" rid="scirp.110908-ref54">54</xref>], Funds Procurement and Monitoring Unit of Ministry of Education [<xref ref-type="bibr" rid="scirp.110908-ref55">55</xref>], Ghana Road Fund [<xref ref-type="bibr" rid="scirp.110908-ref56">56</xref>], and many others. These government agencies do not have decentralised offices at the MMDAs, thereby creating many bureaucratic bottlenecks for the provision of the decentralised infrastructure. According to the National Association of Local Governments of Ghana (NALAG) [<xref ref-type="bibr" rid="scirp.110908-ref57">57</xref>], the implementation of fiscal decentralisation has been ineffective due to limited central government commitment. Corruption is another factor that adversely impacts the delivery of infrastructure at the MMDAs [<xref ref-type="bibr" rid="scirp.110908-ref14">14</xref>]. Brierley [<xref ref-type="bibr" rid="scirp.110908-ref15">15</xref>] reinforces this assertion by stating that the engagement of local politicians and civil servants in corruption in infrastructure procurement militates against the delivery of local public infrastructure. In view of the lack of commitment of central government agencies to the Decentralisation of infrastructure delivery, attempts to access these infrastructures at the MMDAs lead to bureaucratic processes which have always given birth to corruption. According to Williams [<xref ref-type="bibr" rid="scirp.110908-ref58">58</xref>], one-third of local infrastructure projects in Ghana stand unfinished as a result of corrupt practices in the contracting process.</p><p>Component 2:Minimal Control of MMDAs</p><p>The principal component accounts for 13.647 per cent of the total variance and contains three specific variables (<xref ref-type="table" rid="table4">Table 4</xref>). The bureaucratic factors making up this component are Imposition of decisions, Slow implementation of decentralisation reforms, and Regional controls. Local governments are unable to make important decisions independently because many legal provisions make them dependent on the central government [<xref ref-type="bibr" rid="scirp.110908-ref11">11</xref>]. Recruitment of qualified staff for MMDAs is done by the central government through the Public Services Commission. The MMDAs, therefore, do not have control over the staff to provide the needed services of MMDAs. Because the majority of the funding for MMDAs infrastructure projects is from the central government, the central government often imposes upon the MMDAs major infrastructure project decisions including the types of projects to be executed. The decisions about the use and management of the central government transfers have been usurped by the central government so that the MMDAs remain objects of ridicule which lack the necessary finances to implement their decisions [<xref ref-type="bibr" rid="scirp.110908-ref8">8</xref>]. The MMDAs lack the authority to make decisions about expenditures [<xref ref-type="bibr" rid="scirp.110908-ref9">9</xref>]. In recent years, decentralisation reforms in Ghana have taken huge strides. However, there is still the challenge of slow implementation of decentralisation policies and action plans which can be attributed to the inadequate budgetary allocations to local governments in Ghana [<xref ref-type="bibr" rid="scirp.110908-ref57">57</xref>].</p><p>Component 3:Political Influence</p><p>The principal component accounts for 8.171 per cent of the total variance and contains six specific variables (<xref ref-type="table" rid="table4">Table 4</xref>). The bureaucratic factors making up this component are; Political elite influence, Project location selection, Regime change, Manipulation of stakeholders, Use of inefficient political contractors for infrastructure project delivery, and Line ministries’ resistance to decentralisation. The MMDAs are usually under political influences that impede their ability to effectively deliver infrastructure, identifiable in many situations. Politicians influence the centralised agencies of Government in the project location, award contracts to contractors, suppliers and service providers to sympathizers of the ruling Government. This influence often begets poor performance on the part of the contractors who, in most cases, are not competent enough to execute these projects [<xref ref-type="bibr" rid="scirp.110908-ref13">13</xref>]. The needed community, therefore, hardly receives the infrastructure as incompetent suppliers, contractors and consultants are awarded the contracts. The situation worsens when there is a change in government (i.e. change in the political power from one party that rules the country to another); infrastructure is provided at the MMDAs in support of the new government. There is a lack of equitable distribution of the projects to the MMDAs. Also, new governments tend to abandon ongoing projects initiated by previous governments to start new ones resulting in inefficiencies in the delivery of infrastructure projects [<xref ref-type="bibr" rid="scirp.110908-ref37">37</xref>]. Furthermore, decentralisation initiatives are often met with heavy bureaucratic or line ministries’ resistance. This is usually due to the unwillingness of these line ministries to accept lesser roles in a decentralised system of governance [<xref ref-type="bibr" rid="scirp.110908-ref59">59</xref>]. The delivery of infrastructure at the MMDAs is thereby impeded by the resistance of line ministries to decentralisation.</p><p>Component 4:MMDA Project Funding</p><p>The principal component accounts for 7.903 per cent of the total variance and contains three specific variables (<xref ref-type="table" rid="table4">Table 4</xref>). The bureaucratic factors making up this component are; Slow disbursement of project funding, inadequate project financing, and complicated system of financial transfers to local government. For the MMDAs to carry out their responsibility effectively, they need to have a sufficient level of revenues raised locally and or transferred from the central government or other sources. This process of distribution of public finance and responsibilities to the various levels of government is usually referred to as fiscal decentralisation. Fiscal decentralisation aims to strengthen the finances of local governments and thus their capacity to provide public goods and services [<xref ref-type="bibr" rid="scirp.110908-ref9">9</xref>]. The Local Government Service [<xref ref-type="bibr" rid="scirp.110908-ref60">60</xref>] asserted that the major challenge which hampered the smooth delivery of infrastructure at the local level was delay in the release of funds from the central government. The majority of the funding for MMDA projects is from the central government; however, the MMDAs face the challenge of slow release of project funds inhibiting their delivery of infrastructure. According to Article 252 of the 1992 Constitution of the Republic of Ghana, the District Assemblies Common Fund (DACF) has been set up to provide monies to the MMDAs. Currently, the DACF is set as five (5) per cent of the Consolidated Fund of the Country. The amount is, however, inadequate and is released to the MMDAs as and when the central government decides. It is under the control of the central government. In addition, the receipt of funds from central government transfers is highly unpredictable and inconsistent and not very frequent [<xref ref-type="bibr" rid="scirp.110908-ref61">61</xref>]. The financing of infrastructure projects is a major problem confronting MMDAs in Ghana [<xref ref-type="bibr" rid="scirp.110908-ref54">54</xref>]. Besides the inadequate funds from the DACF, the MMDAs are to levy the people within their localities in order to generate internal funding. The internally generated fund is subject to bye-laws to be gazetted by the central government. The MMDAs are unable to fix fees adequate for their operations. The funds for contracts awarded by the centralised agencies are also controlled by the agencies as well as the release of funds for payments of infrastructure provided at the local level [<xref ref-type="bibr" rid="scirp.110908-ref60">60</xref>]. The procurement of infrastructure projects at the MMDAs is bedevilled by the non-availability or inadequacy of project funding and the untimely release or slow disbursement of funds [<xref ref-type="bibr" rid="scirp.110908-ref62">62</xref>]. This further undermines the ability of the MMDAs to effectively plan and budget for infrastructure projects. Infrastructure financing at the MMDAs faces a highly complex system of financial transfers from central government to local government.</p><p>Component 5:Lack of Capacity of MMDAs</p><p>The principal component accounts for 7.517 per cent of the total variance and contains four specific variables (<xref ref-type="table" rid="table4">Table 4</xref>). The bureaucratic factors making up this component are Poor coordination within the MMDAs, Lack of involvement of MMDAs in project selection, inadequate control on tax bases for infrastructure delivery, and Lack of consultation or involvement of stakeholders in infrastructure delivery policies. One of the major factors that impede the effective delivery of infrastructure at the MMDAs is poor coordination within the MMDAs [<xref ref-type="bibr" rid="scirp.110908-ref38">38</xref>]. The lack of effective coordination between levels of government has created problems of duplication or gaps in the provision of synergy in the utilisation of resources and has led to major delays for even those projects where funding was available. According to the Local Governance Act, 2016 (Act 936) [<xref ref-type="bibr" rid="scirp.110908-ref63">63</xref>], Regional Coordinating Council (RCC) has the function of coordinating the activities of the MMDAs within the respective Regions in Ghana. The lack of effective coordination creates bureaucratic bottlenecks in reaching out to the central government for infrastructure supports. Also, the non-involvement or lack of consultation of stakeholders on infrastructure delivery policies is a challenge to the effective delivery of infrastructure at the MMDAs [<xref ref-type="bibr" rid="scirp.110908-ref64">64</xref>]. The activities of the centralised agencies in providing infrastructure at the local levels do not involve the stakeholders of the infrastructure including beneficiaries, users, traditional authorities and community leaders, among others. The governments prepare estimates for projects for their revenue and expenditure with or without proper involvement and consultation with the people for whom the exercise is being carried out to know their needs, problems and potentials [<xref ref-type="bibr" rid="scirp.110908-ref65">65</xref>]. There is also the lack of involvement of MMDAs in the selection of infrastructure projects. Decentralised infrastructure delivery may be funded through taxes. However, according to Ankamah [<xref ref-type="bibr" rid="scirp.110908-ref66">66</xref>], tax collectors often have insufficient information on the collection of taxes for infrastructural works in the country. Poor compliance and weak enforcement mean that the level of local taxes collected is generally low. This has made local governments heavily dependent on central government funding which is not adequate to execute meaningful projects thereby causing delays [<xref ref-type="bibr" rid="scirp.110908-ref67">67</xref>].</p><p>Component 6:Political Interference</p><p>The principal component accounts for 5.770 per cent of the total variance and contains two specific variables (<xref ref-type="table" rid="table4">Table 4</xref>). The bureaucratic factors making up this component are Control of appointments or promotions and Interference with the legal mandate of MMDAs. Politicians have more often than not used the slogan of decentralisation as rhetoric to strengthen their power base rather than improving the quality of governance in the government. The recruitment of staff at the MMDAs is often politicised, where Mohammed [<xref ref-type="bibr" rid="scirp.110908-ref68">68</xref>] argued that staffing with political appointees usually leads to low performance. Political appointees perform systematically lower than non-partisan appointees from civil service [<xref ref-type="bibr" rid="scirp.110908-ref69">69</xref>]. Moreover, the recruitment of personnel under the MMDAs is centralized in the sense that the MMDAs are granted no autonomy to recruit and cater for their staffing needs which would have been more efficient. This increases bureaucracy and slows down infrastructure development in the country [<xref ref-type="bibr" rid="scirp.110908-ref70">70</xref>] (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec></sec></sec><sec id="s5"><title>5. Conclusion, Implications and Recommendations</title><p>This study assessed the bureaucratic factors impeding the delivery of infrastructure at the MMDAs in Ghana. It adopted the quantitative research approach. Data for the study was obtained from 121 professionals in the MMDAs who were purposively sampled from 36 MMDAs in the Greater Accra and Ashanti Regions of Ghana. The findings of the study revealed six (6) major components of the bureaucratic factors that impede the delivery of infrastructure at the MMDAs in Ghana. They are Central government bureaucracy, Minimal control of MMDAs, Political influence, MMDA project funding, Lack of capacity of</p><p>MMDAs, and Political interference. The study identified that bureaucratic control mechanisms over the responsibilities of the MMDAs seriously impede their ability to deliver infrastructure and renders them ineffective. Again, the MMDAs are unable to exercise autonomy in decision-making as a result of political influences. These bureaucratic factors, coupled with others, act as impediments to the effective delivery of infrastructure at the MMDAs.</p><p>This paper contributes to efforts to improving infrastructure development in Ghana. The findings of the study would inform key decentralised infrastructure delivery stakeholders of the bureaucratic impediments to the delivery of infrastructure at the MMDAs. The findings of the study could also prove useful to policymakers to develop and implement decentralised infrastructure-related policies that would remove the bureaucratic obstacles in the delivery of infrastructure at the MMDAs. This would increase the capacity of the MMDAs to effectively provide infrastructure for their localities.</p><p>The following recommendations are thus made by this study:</p><p>&#183; The central government needs to maintain some control over the operations of the MMDAs in Ghana; however, to ensure effective delivery of infrastructure at the MMDAs, this control should not, in any way, interfere with their delivery of infrastructure.</p><p>&#183; The MMDAs must also be granted the autonomy to take major decisions on infrastructure projects devoid of political interferences.</p><p>&#183; The MMDAs should be able to define and have full access to their tax bases in order to minimize their heavy reliance on central government transfers and the controls that come therewith.</p><p>&#183; A change in government should not affect any ongoing projects within the MMDAs.</p><p>&#183; The MMDAs should be adequately resourced and provided with the needed capacity to enable them effectively deliver decentralised infrastructure.</p><p>&#183; Adequate decentralised structures need to be established to eliminate the bureaucratic obstacles in the delivery of infrastructure at the MMDAs.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Hackman, J J.K., Ayarkwa, J., Osei-Asibey, D., Acheampong, A. and Nkrumah, P.A. 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