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    xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">WJCEA</journal-id>
      <journal-title-group>
        <journal-title>World Journal of Civil Engineering and Architecture</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2836-0044</issn>
      <issn pub-type="ppub"></issn>
      <publisher>
        <publisher-name>Science Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.31586/wjcea.2023.608</article-id>
      <article-id pub-id-type="publisher-id">WJCEA-608</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>
          Evaluation of the Incidences of Risk Occurrence and Severity in PPP-Procured Mass Housing Projects (PPP-MHPs) in Abuja, Nigeria
        </article-title>
      </title-group>
      <contrib-group>
<contrib contrib-type="author">
<name>
<surname>Temitope</surname>
<given-names>Arijeloye Bamidele</given-names>
</name>
<xref rid="af1" ref-type="aff">1</xref>
<xref rid="cr1" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Emmanuel</surname>
<given-names>Oke Ayodeji</given-names>
</name>
<xref rid="af1" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Olaniyi</surname>
<given-names>Aje Isaac</given-names>
</name>
<xref rid="af1" ref-type="aff">1</xref>
</contrib>
      </contrib-group>
<aff id="af1"><label>1</label>Department of Quantity Surveying, Federal University of Technology, Akure, Nigeria</aff>
<author-notes>
<corresp id="c1">
<label>*</label>Corresponding author at: Department of Quantity Surveying, Federal University of Technology, Akure, Nigeria
</corresp>
</author-notes>
      <pub-date pub-type="epub">
        <day>28</day>
        <month>04</month>
        <year>2023</year>
      </pub-date>
      <volume>2</volume>
      <issue>1</issue>
      <history>
        <date date-type="received">
          <day>30</day>
          <month>01</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>16</day>
          <month>03</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>04</month>
          <year>2023</year>
        </date>
        <date date-type="pub">
          <day>28</day>
          <month>04</month>
          <year>2023</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>&#xa9; Copyright 2023 by authors and Trend Research Publishing Inc. </copyright-statement>
        <copyright-year>2023</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
          <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>
        Risks in Public Private Procurement mass housing project (PPP-MHP) initiatives are emerging and this requires early risk identification and allocation to achieve the goal and sustenance of the scheme. The study, being a follow-up of a Delphi survey, elicits the opinion of respondents on the probability of occurrence and severity of identified risks in PPP-MHPs in Nigeria.<bold> </bold>The study adopts a quantitative research design approach by administering structure questionnaire survey on identified PPP-MHPs partners in Abuja, Nigeria. Data analysis was performed using descriptive and inferential statistical tools such as Mean item score (MIS), standard deviation, and Kruskal Wallis analytical techniques with the aid of SPSS software packages. The findings show that all the listed risk factors were found to be extremely high, very high, high, or moderate in terms of occurrence while all the listed risk factors recorded a very high level of severity on the delivery of PPP-MHPs. The top ten (10) risk factors frequently associated with PPP-MHPs are non-availability of finance, high finance cost, non-involvement of the host community, poor execution of housing policies, corruption and lack of respect for law, wrong perception of housing need by low-income earners, Illegal title to land, land acquisition and site availability, level of demand for the mass housing projects and unstable value of local currency. The respondents differs significantly on 29 risk factors in terms of occurrence and 40 risk factors in term of severity. The study, therefore, recommends that risk management culture should be highly encouraged among the PPP Partners in the sector. The study intends to enumerate the rate of occurrence of some itemized risk factors and their severities on the delivery of PPP &#x02013; procured mass housing projects in Nigeria and the need to bookmark these risk factors in ensuring the sustainability of the PPP mass housing scheme.
      </abstract>
      <kwd-group>
        <kwd-group><kwd>PPP</kwd>
<kwd>Mass-Housing Projects</kwd>
<kwd>PPP Risk</kwd>
<kwd>Risk Probability</kwd>
<kwd>Risk Occurring</kwd>
<kwd>Risk Severity</kwd>
<kwd>Housing Sector</kwd>
</kwd-group>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
<title>Introduction</title><p>The adoption of Public-Private Partnership (PPP) in procuring construction projects started in Nigeria in the early 90s which allows the private sector to be involved in the construction of mass housing [
<xref ref-type="bibr" rid="R1">1</xref>,<xref ref-type="bibr" rid="R2">2</xref>,<xref ref-type="bibr" rid="R3">3</xref>]. Due to the housing crisis across Nigeria, The Federal government of Nigeria was compelled to engage in mass housing construction basically to meet the housing needs of the citizenry. However, Oluikpe [
<xref ref-type="bibr" rid="R2">2</xref>] and Akpan [
<xref ref-type="bibr" rid="R4">4</xref>] stated that the various policies regarding the housing schemes of the Federal Government at providing mass accommodation at an affordable cost for low and middle-income earners have failed woefully, hence the adoption of PPP in the sector. Abuja; the federal capital territory was chosen as the pioneer city for the PPP mass housing scheme in the year 2000 to be superintended by the Federal Capital Development Authority [
<xref ref-type="bibr" rid="R5">5</xref>]. Muhammad and Johar [
<xref ref-type="bibr" rid="R6">6</xref>] also opine that Abuja city has the largest proportion of PPP housing projects and a conglomeration of experts in the industry, hence the need for the study area. It was also observed that PPP-MHP is not performing to cost, time, and quality since the scheme is also experiencing cost and time overrun that is common in the conventional method of procurement as a result of underlying risks inherent in PPP procurement [
<xref ref-type="bibr" rid="R7">7</xref>]. It is against this backdrop that this study becomes imperative with a view to assessing the degree of occurrence and severity of risk factors in PPP-procured mass housing project delivery in Abuja, Nigeria.</p>
<title>1.1. The Housing Sector Contribution to Nigerian Economy</title><p>Housing is a complex product that is crucial for national development in terms of both economy and welfare. Uwatt [
<xref ref-type="bibr" rid="R8">8</xref>] submits that the housing sector plays a very important role in the social and economic development of Nigeria due to its impact on macroeconomic indicators such as employment, savings, investment, and labor productivity. Investment in housing at such a significant level stimulates the demand for labour in the construction and building materials industries and thus affects income production in the economy. Okwu, Ngoepe-Ntsoane [
<xref ref-type="bibr" rid="R9">9</xref>] opined that housing promotes investment opportunities that are capable of promoting sustainable growth and the development of an economy. Therefore, adequate provision of decent housing is an important measure of social welfare and economic development in any nation which also serves as an international human right. Festus and Amos [
<xref ref-type="bibr" rid="R10">10</xref>] believed that the Nigerian housing market has tremendous opportunities that are waiting to be tapped since Government alone cannot fill the housing gap. According to UN Habitat [
<xref ref-type="bibr" rid="R11">11</xref>], the housing sector has strong linkages for stimulating economic growth and development most especially in a depressed or stagnant economy like Nigeria&#x26;#x02019;s recent case. Investment in the sector will raise the standard of living of the people. However, Harris and Arku [
<xref ref-type="bibr" rid="R12">12</xref>] opined that governments and academics were slow to recognize the potential of housing as a sectorial tool of economic development. This is a direct result of the dearth of affordable and decent housing for low and medium-income earners in Nigeria hence the adoption of PPP in the sector. </p>
<title>1.2. Features of PPP mass housing projects in Abuja, Nigeria</title><p>The PPP MHPs in Abuja, Nigeria are superintended by the Federal Capital Development Authority (FCDA). It is collaboration between the government and the Organized Private Sector (OPS) irrespective of the PPP options adopted. Ahadzie, Proverbs [
<xref ref-type="bibr" rid="R13">13</xref>] opined that the MHPs represent the largest project-based sectors of the Nigerian construction industry. The MHPs are described as the mass production of housing development in a particular region or area usually owned by the public [
<xref ref-type="bibr" rid="R14">14</xref>]. The features and characteristics associated with MHPs include the same project environment; same site conditions including topography; weather; bulky materials and design considerations. PPP- MHP as described in this study includes the design and construction of speculative standardized house units usually in the same location and executed within the same project scheme. Such house units could include a terrace, multi-story or tower blocks, maisonettes, semi-detached and/or detached residences, or a combination of them. Four main points are worthy of note as regards the description viz. (a) The PPP-MHPs are based on one or more standardized designs in the sense that the architectural design of all the phases is the same for all house units. This is necessary to ensure that the concept of repetition is met. (b) The PPP-MHPs involve the construction of domestic residences. (c) The PPP-MHPs are speculative in the sense that the acquisition of land, design of house units, and construction are made without reference to any specific customer in mind and (d) the PPP-MHPs are located in the same area and be part of the same scheme and/or contract conditions.</p>
<title>1.3. Risk Occurrence and Uncertainty in PPP-MHPs</title><p>Risk has been described with a different word and interpreted with a different meaning in the construction management literature [
<xref ref-type="bibr" rid="R15">15</xref>]. Baloi and Price [
<xref ref-type="bibr" rid="R16">16</xref>] defined risk as exposure to the chance of occurrences of events that either adversely or favourably affects project objectives as a consequence of uncertainty. This definition points to the inherent characteristics of risk like risk event(s)/factor(s); likelihood of occurrence; consequences (losses/gain) and uncertainty [
<xref ref-type="bibr" rid="R17">17</xref>]. Nicholas and Steyn [
<xref ref-type="bibr" rid="R18">18</xref>] stated that the probability of occurrence of risk is considered together with the severity or consequence of a risk which implied that risk is a joint function of likelihood and severity. The likelihood measured is the probability or the chance of some risk event occurring while severity represents the extent of damage or loss if the risk factor eventuates. Winch [
<xref ref-type="bibr" rid="R19">19</xref>] defines risk as the condition where information is missing in which a probability distribution can be assigned to the occurrence of events about which a decision needs to be taken. This can only be done if a reliable and appropriate data set is available from which the probability distribution can be calculated i.e. if there is adequate knowledge about the past, then probabilities can be used to increase the predictability of future events. Odeyinka [
<xref ref-type="bibr" rid="R20">20</xref>] cited Winch (2010) to clarify the distinction between uncertainty and risk by adopting a cognitive approach to partition risk space into four compartments. The cognitive approach makes a clear distinction between when a probability distribution can be assigned to the occurrence of an event and the condition where it is not possible to assign a probability distribution due to the amount of information available per time. The multilayer definition of risk and uncertainty by Winch (2010) is as follows: </p>
<p>Known-known are the cognitive condition of risk, where the risk source has been identified and a probability can be assigned to the occurrence of a risk event given the risk source. </p>
<p>Known unknowns are the cognitive condition of uncertainty where a risk source has been identified but a probability cannot be assigned to the occurrence of the risk event.</p>
<p>Unknown known is the cognitive condition of uncertainty where somebody knows about the risk source and associated probabilities but is keeping that information private.</p>
<p>Unknown unknowns are the cognitive condition of uncertainty where the risk source has not been identified and therefore the risk event cannot be known</p>
<p>As stated earlier some researchers have tried to distinguish between risk and uncertainty but as observed by Ameyaw [
<xref ref-type="bibr" rid="R17">17</xref>] it will be difficult to distinguish between risk and uncertainty in real PPP projects; take for instance, the OPS in a PPP MHPs scheme may be uncertain whether the government will expropriate investment or renege on its obligation in the future and it is common to find both the case of risk and uncertainty in PPP MHPs. Literature has shown that risk in PPP projects is classified as site acquisition risk, design risk, construction risk, demand risk, political risk, operation risk, financial risk, and force majeure risk. Sanda, Anigbogu [
<xref ref-type="bibr" rid="R15">15</xref>] submitted 74 risk factors associated with PPP housing projects in Nigeria. Awodele [
<xref ref-type="bibr" rid="R21">21</xref>] identified 68 risk factors in PPP market-related projects and classified these risk factors into endogenous and exogenous risks. Awodele [
<xref ref-type="bibr" rid="R22">22</xref>] identified 46 risk factors involved in housing projects procured using the public-private partnership system in Nigeria. This study adopted 63 risk factors from an earlier Delphi study conducted on PPP-MHPs [
<xref ref-type="bibr" rid="R5">5</xref>].</p>
</sec><sec id="sec2">
<title>Data and Methodology</title><p>A questionnaire survey was conducted on the level of risk occurrence and its severities on PPP-procured mass housing projects in Abuja, Nigeria. A total of 328 questionnaires were distributed out of 560 identified populations to various categories of respondents in the study area for six months while 276 of the distributed questionnaires were returned and 258 were fit for further analysis representing a 78.66% response rate. This response rate is above the usual rate of 20-30% for questionnaire surveys in construction management studies Moser and Kalton [
<xref ref-type="bibr" rid="R23">23</xref>]. Mean item score (MIS), standard deviation, and Kruskal Wallis analytical techniques were adopted for the study. To determine the level of risk occurrence and severity in the PPP-MHPs sector, the respondents were asked to score on a Likert scale of 7 where scale 1 represents extremely low occurrence/severity; scale 2 = Very low; scale 3 = Low; scale 4 = Moderate; scale 5 = High; scale 6 = Very high and scale 7 represent extremely high occurrence/severity. The MIS was determined using the equation; <math> <semantics>  <mrow>   <mi>M</mi><mi>S</mi><mo>=</mo><mfrac>    <mrow>     <msub>      <mn>7</mn>      <mrow>       <mi>n</mi><mn>7</mn></mrow>     </msub>     <mo>+</mo><msub>      <mn>6</mn>      <mrow>       <mi>n</mi><mn>6</mn></mrow>     </msub>     <mo>+</mo><msub>      <mn>5</mn>      <mrow>       <mi>n</mi><mn>5</mn></mrow>     </msub>     <mo>+</mo><msub>      <mn>4</mn>      <mrow>       <mi>n</mi><mn>4</mn></mrow>     </msub>     <mo>+</mo><msub>      <mn>3</mn>      <mrow>       <mi>n</mi><mn>3</mn></mrow>     </msub>     <mo>+</mo><msub>      <mn>2</mn>      <mrow>       <mi>n</mi><mn>2</mn></mrow>     </msub>     <mo>+</mo><msub>      <mn>1</mn>      <mrow>       <mi>n</mi><mn>1</mn></mrow>     </msub>     </mrow>    <mi>N</mi>   </mfrac>   </mrow>   </semantics></math></p>
<p>Where MS = mean score of the variable; n = score given by respondents based on the 7-point scale from one to seven and N = several respondents that rated the variable while the Kruskal-Wallis test is used to test the differences between several independent groups and this was used to determine the significant difference in the opinions of the respondents on the listed variables. </p>
<p>Table 1 andTable <xref ref-type="table" rid="tabtable 2">table 2</xref> show the profile of the respondents where 71% of the respondents come from the public sector while the remaining 29% are from the Private sector. 37.2% of the respondents have a first degree, 47.3% of the respondents have 2<sup>nd</sup> degree while 2.3% and 13.2% of the respondents have HND and PGD as their highest academic qualifications respectively. Based on PPP experience, 42.2% of the respondents have between 11-15 years of experience, 36.4% have between 6-10 years of experience, and 20.2% have between 16-20 years of experience while the remaining 1.2% have between 1-5 years of experience with an average of 12 years PPP experience with 9 years average of PPP MHP experience. This is evident as experimenting with PPP in the procurement of Mass Housing is still a relatively new experience in the country. Professionally, the majority of the respondents (72.1%) have corporate membership of the various professional institutes, 11.2% have attained the highest honor (Fellow) of their various professional bodies, and 1.2% were still probationer members of their various professional institutes while the remaining 15.5% have professional qualification in other allied professions.</p>
</sec><sec id="sec3">
<title>Level of Risk occurrence and Severity in PPP procured Mass Housing Projects</title><p>The mean score of respondents from both the Public and Private sectors that engaged in PPP procured Mass Housing projects on the likelihood of occurrence of risk factors and severity are analyzed and presented in Tables 3, 4, 5 and 6. The mean index of risk occurrence in PPP-MHP in Abuja ranges from 4.00 to 6.60 which suggest that the likelihood of risk occurrence ranges from moderate to extremely high levels. The top 10 factors accounted for the availability of finance (M.S, = 6.60), high finance cost (M.S, = 6.27), non-involvement of the host community (M.S, = 6.06), poor execution of housing policies (M.S, = 6.06), corruption and lack of respect for the law (M.S, = 6.06), wrong perception of housing need by low-income earners (M.S, = 5.97), illegal title to land (M.S, = 5.94), land acquisition and site availability (M.S, = 5.91), level of demand for the mass housing projects (M.S, = 5.82) and unstable value of the local currency (M.S, = 5.78). All the risk factors listed recorded a very high level of occurrence; however, the respondents are different significantly on twenty-nine (29) of the sixty-three (63) in terms of occurrence in PPP mass housing projects. Some of the risk factors with a significant difference include high cost of finance, illegal title to land, high bidding cost, poor decision-making process, delay in project approval and permits, land grabbing/encroachment, possible expropriation/nationalization of assets, import and export restrictions, environment, staff crises, and late design changes. The aforementioned risk factors have p-values ranging from = 0.000.</p>
<table-wrap id="tab1">
<label>Table 1</label>
<caption>
<p><b>Table 1</b><b>. </b><b>Profile of the Respondents</b></p>
</caption>

<table>
<thead>
<tr>
<th align="left"><bold>Category</bold></th>
<th align="left"><bold>Classification</bold></th>
<th align="left"><bold>Frequency</bold></th>
<th align="left"><bold>Percent</bold></th>
<th align="center"></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Sector  Category</bold></td>
<td align="left">Public Sector</td>
<td align="left">183</td>
<td align="left">70.9</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Private Sector</td>
<td align="left">75</td>
<td align="left">29.1</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><bold>Total</bold></td>
<td align="left">258</td>
<td align="left">100</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"><bold>Years  of Construction Experience</bold></td>
<td align="left">1 &#x02013; 5</td>
<td align="left">3</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">6 &#x02013; 10</td>
<td align="left">34</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">11 &#x02013; 15</td>
<td align="left">91</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">16-20</td>
<td align="left">130</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><bold>Total</bold></td>
<td align="left"><bold>258</bold></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><bold>Average</bold></td>
<td align="center"></td>
<td align="left"><bold>14.74</bold></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"><bold>Highest  Academic Qualification</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">HND</td>
<td align="left">6</td>
<td align="left">2.3</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">PGD</td>
<td align="left">34</td>
<td align="left">13.2</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">BSc/B.Tech</td>
<td align="left">96</td>
<td align="left">37.2</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">MSc/MTech</td>
<td align="left">122</td>
<td align="left">47.3</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><bold>Total</bold></td>
<td align="left"><bold>258</bold></td>
<td align="left"><bold>100</bold></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"><bold>Designation  of Respondents</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Chief Executive/Managing Director</td>
<td align="left">41</td>
<td align="left">15.9</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Project Manager</td>
<td align="left">25</td>
<td align="left">9.7</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Financial Adviser</td>
<td align="left">15</td>
<td align="left">5.8</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Facilities manager</td>
<td align="left">3</td>
<td align="left">1.2</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Quantity surveyor</td>
<td align="left">63</td>
<td align="left">24.4</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Architect</td>
<td align="left">34</td>
<td align="left">13.2</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Engineer</td>
<td align="left">43</td>
<td align="left">16.7</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Builder</td>
<td align="left">28</td>
<td align="left">10.9</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left">Others</td>
<td align="left">6</td>
<td align="left">2.3</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><bold>Total</bold></td>
<td align="left"><bold>258</bold></td>
<td align="left"><bold>100</bold></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="4">
<hr />
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>

</fn>
</table-wrap-foot>
</table-wrap><table-wrap id="tab2">
<label>Table 2</label>
<caption>
<p><b>Table </b><b>2.</b><b>Profile of the Respondents Cont.</b></p>
</caption>

<table>
<thead>
<tr>
<th align="left" colspan="2"><bold>Category</bold></th>
<th align="left"><bold>Classification</bold></th>
<th align="left"><bold>Frequency</bold></th>
<th align="left"><bold>Percent</bold></th>
<th align="center"></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="2"><bold>Years  of PPP Experience</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">1 - 5</td>
<td align="left">3</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">6 - 10</td>
<td align="left">94</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">11 - 15</td>
<td align="left">109</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">16 - 20</td>
<td align="left">52</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left"><bold>Total</bold></td>
<td align="left"><bold>258</bold></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left"><bold>Average</bold></td>
<td align="center"></td>
<td align="left"><bold>12.07</bold></td>
<td align="center"></td>
</tr>
<tr>
<td align="left"><bold>Years  of PPP Mass Housing Experience</bold></td>
<td align="left" colspan="2">&#x00026;nbsp;</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">1 &#x02013; 5</td>
<td align="left">3</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">6 &#x02013; 10</td>
<td align="left">212</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">11 &#x02013; 15</td>
<td align="left">40</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">16 &#x02013; 20</td>
<td align="left">3</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left"><bold>Total</bold></td>
<td align="left"><bold>258</bold></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left"><bold>Average</bold></td>
<td align="center"></td>
<td align="left"><bold>8.83</bold></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"><bold>Professional  Qualification</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">Graduate membership</td>
<td align="left">3</td>
<td align="left">1.2</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">Corporate membership</td>
<td align="left">186</td>
<td align="left">72.1</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">Fellow</td>
<td align="left">29</td>
<td align="left">11.2</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2"></td>
<td align="left">Others</td>
<td align="left">40</td>
<td align="left">15.5</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="2">&#x00026;nbsp;</td>
<td align="left"><bold>Total</bold></td>
<td align="left"><bold>258</bold></td>
<td align="left"><bold>100</bold></td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="5">
<hr />
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>

</fn>
</table-wrap-foot>
</table-wrap><p></p>
<p>The mean score of respondents was also conducted on the severity of the risk factors in PPP-procured mass housing projects and is presented inTable <xref ref-type="table" rid="tab3">3</xref>. The mean index of risk severity ranges from 4.14 to 6.54 which suggest that the severity of the risk factors ranges from moderate to extremely high levels. The top 10 factors accounted for the availability of finance (M.S, = 6.54), high finance cost (M.S, = 6.22), corruption and lack of respect for the law (M.S, = 6.03), wrong perception of housing need by low-income earners (M.S, = 5.98), land acquisition and site availability (M.S, = 5.92), illegal title to land (M.S, = 5.90, SD = 0.397), non-involvement of the host community (M.S, = 5.90, SD = 0.567), poor execution of housing policies (M.S, = 5.88), level of demand for the mass housing projects (M.S, = 5.83) and inadequate experience in PPP (M.S, = 5.79). All the risk factors listed recorded a very high level of severity; however, the respondents differ significantly on forty (40) of the sixty-three (63) in terms of risk severity in the PPP mass housing project. Some of the severity risk factors with a significant difference include high cost of finance, illegal title to land, high bidding cost, poor decision-making process, delay in project approval and permits, land grabbing / encroachment, possible expropriation/ nationalization of assets, import and export restrictions, environment, staff crises, and late design changes. The aforementioned risk factors have p-values of 0.000.</p>
<table-wrap id="tab3">
<label>Table 3</label>
<caption>
<p><b>Table </b><b>3</b><b>.</b><b> Level of Risk Occurrence/Probability in PPP Procured Mass Housing Projects</b></p>
</caption>

<table>
<thead>
<tr>
<th align="left"><bold>Risk  Factors</bold></th>
<th align="left"><bold>Risk  Probability</bold></th>
<th align="left"><bold>Std.  Deviation</bold></th>
<th align="left"><bold>Rank</bold></th>
<th align="left"><bold>Asymp.  Sig</bold></th>
<th align="center"></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Availability of Finance</td>
<td align="left">6.60</td>
<td align="left">0.855</td>
<td align="left">1</td>
<td align="left">0.136</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">High Finance cost</td>
<td align="left">6.27</td>
<td align="left">0.740</td>
<td align="left">2</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Non-involvement of the host community</td>
<td align="left">6.06</td>
<td align="left">0.544</td>
<td align="left">3</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor execution of Housing Policies</td>
<td align="left">6.06</td>
<td align="left">0.471</td>
<td align="left">4</td>
<td align="left">0.050</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Corruption and lack of respect for Law</td>
<td align="left">6.06</td>
<td align="left">0.446</td>
<td align="left">5</td>
<td align="left">0.016</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Wrong perception of housing need by  low-income earners</td>
<td align="left">5.97</td>
<td align="left">0.462</td>
<td align="left">6</td>
<td align="left">0.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Illegal Title to Land</td>
<td align="left">5.94</td>
<td align="left">0.418</td>
<td align="left">7</td>
<td align="left">0.018</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Land acquisition and Site availability</td>
<td align="left">5.91</td>
<td align="left">1.155</td>
<td align="left">8</td>
<td align="left">0.286</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Level of Demand for the mass housing  projects</td>
<td align="left">5.82</td>
<td align="left">0.808</td>
<td align="left">9</td>
<td align="left">0.145</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Unstable Value of Local Currency</td>
<td align="left">5.78</td>
<td align="left">0.471</td>
<td align="left">10</td>
<td align="left">0.874</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inadequate experience in PPP</td>
<td align="left">5.75</td>
<td align="left">0.749</td>
<td align="left">11</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of creditworthiness</td>
<td align="left">5.67</td>
<td align="left">0.787</td>
<td align="left">12</td>
<td align="left">0.200</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Risk regarding Pricing of  Product/service</td>
<td align="left">5.62</td>
<td align="left">0.639</td>
<td align="left">13</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Prolonged negotiation period before  initiation</td>
<td align="left">5.55</td>
<td align="left">0.758</td>
<td align="left">14</td>
<td align="left">0.015</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Influential Economic Events  (Boom/Recession)</td>
<td align="left">5.55</td>
<td align="left">0.916</td>
<td align="left">15</td>
<td align="left">0.241</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inadequate distribution of  responsibility and risks</td>
<td align="left">5.53</td>
<td align="left">0.987</td>
<td align="left">16</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">High Bidding cost</td>
<td align="left">5.52</td>
<td align="left">0.765</td>
<td align="left">17</td>
<td align="left">.003*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of Commitment from Public/Private  Partners</td>
<td align="left">5.47</td>
<td align="left">0.717</td>
<td align="left">18</td>
<td align="left">0.008*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor Financial Market</td>
<td align="left">5.43</td>
<td align="left">0.792</td>
<td align="left">19</td>
<td align="left">0.163</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Financial attraction to project  investors</td>
<td align="left">5.40</td>
<td align="left">0.942</td>
<td align="left">20</td>
<td align="left">0.163</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Construction time delay</td>
<td align="left">5.39</td>
<td align="left">0.658</td>
<td align="left">21</td>
<td align="left">0.151</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inflation rate volatility</td>
<td align="left">5.39</td>
<td align="left">0.802</td>
<td align="left">22</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor decision-making process</td>
<td align="left">5.38</td>
<td align="left">0.800</td>
<td align="left">23</td>
<td align="left">0.032</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inadequate distribution of Authority  between Partners</td>
<td align="left">5.34</td>
<td align="left">0.695</td>
<td align="left">24</td>
<td align="left">0.205</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Delays in Project approvals and  permits</td>
<td align="left">5.34</td>
<td align="left">0.768</td>
<td align="left">25</td>
<td align="left">0.001*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Construction cost overrun</td>
<td align="left">5.26</td>
<td align="left">0.602</td>
<td align="left">26</td>
<td align="left">0.111</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Change in Government</td>
<td align="left">5.24</td>
<td align="left">0.788</td>
<td align="left">27</td>
<td align="left">0.349</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Public opposition to the mass housing  projects</td>
<td align="left">5.22</td>
<td align="left">1.088</td>
<td align="left">28</td>
<td align="left">0.149</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Interest rate volatility</td>
<td align="left">5.19</td>
<td align="left">0.824</td>
<td align="left">29</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Force Majeure</td>
<td align="left">5.17</td>
<td align="left">0.957</td>
<td align="left">30</td>
<td align="left">0.043</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Weather</td>
<td align="left">5.11</td>
<td align="left">0.871</td>
<td align="left">31</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Operation cost overrun</td>
<td align="left">5.05</td>
<td align="left">0.658</td>
<td align="left">32</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Land Grabbing/Encroachment</td>
<td align="left">4.95</td>
<td align="left">0.852</td>
<td align="left">33</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Organization and Coordination risk</td>
<td align="left">4.90</td>
<td align="left">0.975</td>
<td align="left">34</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inability to service debt</td>
<td align="left">4.81</td>
<td align="left">0.813</td>
<td align="left">35</td>
<td align="left">0.025</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Competition risk</td>
<td align="left">4.74</td>
<td align="left">0.618</td>
<td align="left">36</td>
<td align="left">0.124</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of tradition of private provision  of public services</td>
<td align="left">4.74</td>
<td align="left">1.157</td>
<td align="left">37</td>
<td align="left">0.055</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">The bankruptcy of the investors (OPS)</td>
<td align="left">4.72</td>
<td align="left">0.883</td>
<td align="left">38</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="5">
<hr />
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>

</fn>
</table-wrap-foot>
</table-wrap><table-wrap id="tab4">
<label>Table 4</label>
<caption>
<p><b>Table </b><b>4.</b><b> Level of Risk Occurrence/Probability in PPP Procured Mass Housing Projects Cont.</b></p>
</caption>

<table>
<thead>
<tr>
<th align="left"><bold>Risk Factors</bold></th>
<th align="left"><bold>Risk Probability</bold></th>
<th align="left"><bold>Std. Deviation</bold></th>
<th align="left"><bold>Rank</bold></th>
<th align="left"><bold>Asymp. Sig</bold></th>
<th align="center"></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Operational revenue  below the projection</td>
<td align="left">4.69</td>
<td align="left">0.622</td>
<td align="left">39</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inconsistencies in  Government Policies</td>
<td align="left">4.68</td>
<td align="left">0.711</td>
<td align="left">40</td>
<td align="left">0.143</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Environment</td>
<td align="left">4.64</td>
<td align="left">0.681</td>
<td align="left">41</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Third-party tort  liability</td>
<td align="left">4.57</td>
<td align="left">0.657</td>
<td align="left">42</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Different working  methods/know-how between partners</td>
<td align="left">4.54</td>
<td align="left">0.789</td>
<td align="left">43</td>
<td align="left">0.080</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Change in tax  regulation</td>
<td align="left">4.50</td>
<td align="left">0.795</td>
<td align="left">44</td>
<td align="left">0.852</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Residual value  (After the concession period)</td>
<td align="left">4.47</td>
<td align="left">0.764</td>
<td align="left">45</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Design deficiencies</td>
<td align="left">4.47</td>
<td align="left">0.943</td>
<td align="left">46</td>
<td align="left">0.548</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Availability of  appropriate labor/material</td>
<td align="left">4.45</td>
<td align="left">0.763</td>
<td align="left">47</td>
<td align="left">0.019</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Excessive contract  variation</td>
<td align="left">4.43</td>
<td align="left">0.715</td>
<td align="left">48</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Low operating  productivity </td>
<td align="left">4.41</td>
<td align="left">0.823</td>
<td align="left">49</td>
<td align="left">0.025</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Rate of Return  restrictions</td>
<td align="left">4.39</td>
<td align="left">0.940</td>
<td align="left">50</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of Government  guarantee</td>
<td align="left">4.39</td>
<td align="left">1.001</td>
<td align="left">51</td>
<td align="left">0.009</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Industrial  regulation change</td>
<td align="left">4.33</td>
<td align="left">0.726</td>
<td align="left">52</td>
<td align="left">.005*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Legislation  change/Inconsistencies</td>
<td align="left">4.28</td>
<td align="left">0.715</td>
<td align="left">53</td>
<td align="left">0.092</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Cultural differences  between the main Stakeholders</td>
<td align="left">4.27</td>
<td align="left">1.159</td>
<td align="left">54</td>
<td align="left">0.672</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Insolvency/default  of Subcontractors and Suppliers</td>
<td align="left">4.25</td>
<td align="left">0.655</td>
<td align="left">55</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Strong Political  opposition</td>
<td align="left">4.21</td>
<td align="left">0.685</td>
<td align="left">56</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Unproven Engineering  techniques</td>
<td align="left">4.20</td>
<td align="left">0.719</td>
<td align="left">57</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Import and Export  restriction</td>
<td align="left">4.19</td>
<td align="left">0.645</td>
<td align="left">58</td>
<td align="left">.001*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor Quality of  Workmanship</td>
<td align="left">4.12</td>
<td align="left">0.754</td>
<td align="left">59</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Possible  expropriation/nationalization of assets</td>
<td align="left">4.12</td>
<td align="left">0.755</td>
<td align="left">60</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Geotechnical  conditions</td>
<td align="left">4.12</td>
<td align="left">0.895</td>
<td align="left">61</td>
<td align="left">0.289</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Staff crises</td>
<td align="left">4.11</td>
<td align="left">0.686</td>
<td align="left">62</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Late design changes</td>
<td align="left">4.00</td>
<td align="left">0.851</td>
<td align="left">63</td>
<td align="left">0.016</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="5">
<hr />
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>

</fn>
</table-wrap-foot>
</table-wrap><table-wrap id="tab5">
<label>Table 5</label>
<caption>
<p><b>Table </b><b>5.</b><b> Level of Severity of Risk Factors in PPP procured Mass Housing Projects</b></p>
</caption>

<table>
<thead>
<tr>
<th align="left"><bold>Risk Factors</bold></th>
<th align="left"><bold>Risk Severity</bold></th>
<th align="left"><bold>Std. Deviation</bold></th>
<th align="left"><bold>Rank</bold></th>
<th align="left"><bold>Asymp.Sig</bold></th>
<th align="center"></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Availability of  Finance</td>
<td align="left">6.54</td>
<td align="left">0.544</td>
<td align="left">1</td>
<td align="left">0.593</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">High Finance cost</td>
<td align="left">6.22</td>
<td align="left">0.54</td>
<td align="left">2</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Corruption and lack  of respect for Law</td>
<td align="left">6.03</td>
<td align="left">0.408</td>
<td align="left">3</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Wrong perception of  housing need by low-income earners</td>
<td align="left">5.98</td>
<td align="left">0.305</td>
<td align="left">4</td>
<td align="left">0.053</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Land acquisition and  Site availability</td>
<td align="left">5.92</td>
<td align="left">0.488</td>
<td align="left">5</td>
<td align="left">0.001*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Illegal Title to  Land</td>
<td align="left">5.90</td>
<td align="left">0.397</td>
<td align="left">6</td>
<td align="left">0.026</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Non-involvement of  the host community</td>
<td align="left">5.90</td>
<td align="left">0.567</td>
<td align="left">7</td>
<td align="left">0.001*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor execution of  Housing Policies</td>
<td align="left">5.88</td>
<td align="left">0.516</td>
<td align="left">8</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Level of Demand for  the mass housing projects</td>
<td align="left">5.83</td>
<td align="left">0.458</td>
<td align="left">9</td>
<td align="left">0.317</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inadequate  experience in PPP</td>
<td align="left">5.79</td>
<td align="left">0.512</td>
<td align="left">10</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inadequate  distribution of responsibility and risks</td>
<td align="left">5.76</td>
<td align="left">0.644</td>
<td align="left">11</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Unstable Value of  Local Currency</td>
<td align="left">5.68</td>
<td align="left">0.566</td>
<td align="left">12</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of  creditworthiness</td>
<td align="left">5.68</td>
<td align="left">0.69</td>
<td align="left">13</td>
<td align="left">0.880</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Construction time  delay</td>
<td align="left">5.62</td>
<td align="left">0.511</td>
<td align="left">14</td>
<td align="left">0.001*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of Commitment  from Public/Private Partners</td>
<td align="left">5.60</td>
<td align="left">0.623</td>
<td align="left">15</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Risk regarding  Pricing of Product/service</td>
<td align="left">5.57</td>
<td align="left">0.682</td>
<td align="left">16</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Force Majeure</td>
<td align="left">5.54</td>
<td align="left">1.033</td>
<td align="left">17</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="5">
<hr />
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>

</fn>
</table-wrap-foot>
</table-wrap><table-wrap id="tab6">
<label>Table 6</label>
<caption>
<p><b>Table </b><b>6.</b><b> Level of Severity of Risk Factors in PPP procured Mass Housing Projects- Cont&#x02019;d</b></p>
</caption>

<table>
<thead>
<tr>
<th align="left"><bold>Risk Factors</bold></th>
<th align="left"><bold>Risk Severity</bold></th>
<th align="left"><bold>Std. Deviation</bold></th>
<th align="left"><bold>Rank</bold></th>
<th align="left"><bold>Asymp.Sig</bold></th>
<th align="center"></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Land  Grabbing/Encroachment</td>
<td align="left">5.52</td>
<td align="left">0.77</td>
<td align="left">18</td>
<td align="left">0.388</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inadequate distribution  of Authority between Partners</td>
<td align="left">5.51</td>
<td align="left">0.765</td>
<td align="left">19</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Construction cost  overrun</td>
<td align="left">5.50</td>
<td align="left">0.567</td>
<td align="left">20</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Prolonged  negotiation period prior to initiation</td>
<td align="left">5.48</td>
<td align="left">0.586</td>
<td align="left">21</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Interest rate  volatility</td>
<td align="left">5.47</td>
<td align="left">0.76</td>
<td align="left">22</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor Financial  Market</td>
<td align="left">5.46</td>
<td align="left">0.963</td>
<td align="left">23</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor decision-making  process</td>
<td align="left">5.45</td>
<td align="left">0.604</td>
<td align="left">24</td>
<td align="left">0.931</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Influential Economic  Events (Boom/Recession)</td>
<td align="left">5.41</td>
<td align="left">0.785</td>
<td align="left">25</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">High Bidding cost</td>
<td align="left">5.38</td>
<td align="left">0.848</td>
<td align="left">26</td>
<td align="left">0.029</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Financial attraction  to project investors</td>
<td align="left">5.36</td>
<td align="left">1.047</td>
<td align="left">27</td>
<td align="left">0.064</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Delay in Project approvals  and permits</td>
<td align="left">5.34</td>
<td align="left">0.641</td>
<td align="left">28</td>
<td align="left">0.540</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Change in Government</td>
<td align="left">5.30</td>
<td align="left">1.073</td>
<td align="left">29</td>
<td align="left">0.031</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Public opposition to  the mass housing projects</td>
<td align="left">5.15</td>
<td align="left">1.286</td>
<td align="left">30</td>
<td align="left">0.001*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Weather</td>
<td align="left">5.08</td>
<td align="left">1.092</td>
<td align="left">31</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inflation rate  volatility</td>
<td align="left">5.06</td>
<td align="left">0.992</td>
<td align="left">32</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Operation cost  overrun</td>
<td align="left">5.04</td>
<td align="left">0.716</td>
<td align="left">33</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Insolvency/default  of Subcontractors and Suppliers</td>
<td align="left">5.02</td>
<td align="left">0.873</td>
<td align="left">34</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inability to service  debt</td>
<td align="left">4.99</td>
<td align="left">0.895</td>
<td align="left">35</td>
<td align="left">0.010</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Excessive contract  variation</td>
<td align="left">4.93</td>
<td align="left">0.832</td>
<td align="left">36</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Organization and  Coordination risk</td>
<td align="left">4.92</td>
<td align="left">0.805</td>
<td align="left">37</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Bankruptcy of the  investors (OPS)</td>
<td align="left">4.87</td>
<td align="left">1.028</td>
<td align="left">38</td>
<td align="left">0.011</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Operational revenue  below the projection</td>
<td align="left">4.80</td>
<td align="left">0.719</td>
<td align="left">39</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Geotechnical  conditions</td>
<td align="left">4.79</td>
<td align="left">0.946</td>
<td align="left">40</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Different working  methods/know-how between partners</td>
<td align="left">4.75</td>
<td align="left">0.781</td>
<td align="left">41</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of tradition of  private provision of public services</td>
<td align="left">4.70</td>
<td align="left">0.999</td>
<td align="left">42</td>
<td align="left">0.052</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Lack of Government  guarantee</td>
<td align="left">4.70</td>
<td align="left">1.091</td>
<td align="left">43</td>
<td align="left">0.140</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Legislation  change/Inconsistencies</td>
<td align="left">4.68</td>
<td align="left">0.861</td>
<td align="left">44</td>
<td align="left">0.322</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Environment</td>
<td align="left">4.67</td>
<td align="left">0.639</td>
<td align="left">45</td>
<td align="left">0.062</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Inconsistencies in  Government Policies</td>
<td align="left">4.66</td>
<td align="left">1.105</td>
<td align="left">46</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Availability of  appropriate labour/material</td>
<td align="left">4.64</td>
<td align="left">0.912</td>
<td align="left">47</td>
<td align="left">0.014</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Third party tort  liability</td>
<td align="left">4.61</td>
<td align="left">0.692</td>
<td align="left">48</td>
<td align="left">0.001*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Possible  expropriation/nationalization of assets</td>
<td align="left">4.60</td>
<td align="left">0.912</td>
<td align="left">49</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Rate of Return  restrictions</td>
<td align="left">4.60</td>
<td align="left">1.177</td>
<td align="left">50</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Low operating  productivity </td>
<td align="left">4.59</td>
<td align="left">0.619</td>
<td align="left">51</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Competition risk</td>
<td align="left">4.55</td>
<td align="left">0.837</td>
<td align="left">52</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Import and Export  restriction</td>
<td align="left">4.49</td>
<td align="left">0.625</td>
<td align="left">53</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Poor Quality of  Workmanship</td>
<td align="left">4.48</td>
<td align="left">0.814</td>
<td align="left">54</td>
<td align="left">0.041</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Unproven Engineering  techniques</td>
<td align="left">4.45</td>
<td align="left">0.694</td>
<td align="left">55</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Design deficiencies</td>
<td align="left">4.40</td>
<td align="left">1.15</td>
<td align="left">56</td>
<td align="left">0.007*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Residual value  (After concession period)</td>
<td align="left">4.38</td>
<td align="left">0.771</td>
<td align="left">57</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Staff crises</td>
<td align="left">4.36</td>
<td align="left">0.589</td>
<td align="left">58</td>
<td align="left">0.043</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Industrial  regulation change</td>
<td align="left">4.30</td>
<td align="left">0.755</td>
<td align="left">59</td>
<td align="left">.004*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Late design changes</td>
<td align="left">4.30</td>
<td align="left">1.041</td>
<td align="left">60</td>
<td align="left">0.620</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Change in tax  regulation</td>
<td align="left">4.29</td>
<td align="left">1.016</td>
<td align="left">61</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Cultural differences  between the main Stakeholders</td>
<td align="left">4.23</td>
<td align="left">1.189</td>
<td align="left">62</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Strong Political  opposition</td>
<td align="left">4.14</td>
<td align="left">0.913</td>
<td align="left">63</td>
<td align="left">.000*</td>
<td align="center"></td>
</tr>
<tr>
<td align="left" colspan="5">
<hr />
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>

</fn>
</table-wrap-foot>
</table-wrap></sec><sec id="sec4">
<title>Discussion of research findings</title><p>It is evident in this study that the 63 risk factors listed for the respondents were found to either be extremely high, very high, high, or moderate in terms of occurrence while all the listed risk factors recorded a very high level in terms of severity; this is to identify the key risks that could significantly influence the delivery of PPP MHPs in Abuja, Nigeria. The top ten (10) risk factors occurring with a high level of severity in PPP MHPs in Abuja are discussed briefly, namely:</p>
<title>4.1. Availability of Finance/ Financial Risk</title><p>Availability of finance or financial risk is the most risk factor occurring in PPP-MHPs in Abuja, Nigeria according to this study with a probability of 6.60 and the highest severity of 6.54. Ameyaw [
<xref ref-type="bibr" rid="R17">17</xref>] submits that the major risk affecting the attraction of private investment is the non-availability of finance owing to the failure of the stakeholders to fulfil investment commitment, most especially in developing counties like Nigeria and this makes private investment to be risky, where investors are unwilling to commit huge financial resources without a government guarantee. The financial effects of these risks lead to lower productivity, poor performance, and an increase in the cost of the project.</p>
<title>4.2. High Finance Cost</title><p>Prevailing economic conditions in the operating environment beyond the control of the organized private sector (OPS) could lead to high financing costs for the PPP MHPs. This risk factor has the 2<sup>nd</sup> most occurring risk factor in the sector with a probability of 6.27 and severity of 6.22. As good as the PPP initiative is in the sector, a high finance cost is stalling its delivery resulting in delays and poor workmanship [
<xref ref-type="bibr" rid="R24">24</xref>]. A private firm might be inaccurate in submitting her estimates during the bidding stage as a deliberate attempt to win the contract while underestimating the volume to construct and maintain the estate. This activates poor operating cost controls which threaten successful service delivery.</p>
<title>4.3. Corruption and Lack of Respect for Law</title><p>Corruption is a global problem that poses a serious threat to the development of a country and its people. States, developed or developing, are equal victims of this problem [
<xref ref-type="bibr" rid="R25">25</xref>]. Corruption, apart from affecting the public at large, also causes reduced investment, lack of respect for the rule of law and human rights, undemocratic practices, and diversion of funds intended for development and essential services, affecting the government's ability to provide basic services to its citizens. Corruption and lack of respect for the law can be seen as the behaviour of corruption of government officials that will increase the relationship between the government and the project company; it also includes the government's inconsistent application of new regulations and laws.</p>
<title>4.4. Non-involvement of the Host Community</title><p>Empirical evidence indicates that compensation can prove effective in gaining public acceptance for citing facilities in a particular location or community and this can only be effective when the host community is involved before citing such facilities in their neighborhood [
<xref ref-type="bibr" rid="R26">26</xref>]. These facilities require creative mitigation measures such as independent inspections of the facility and local shutdown power. Even then, they may be viewed as too risky to be acceptable with or without compensation. Villagers may felt that the unequal distribution of economic benefits within their village was a considerable challenge to participate in such a programme. Members of the community benefiting from the programme are those who are not the indigene of such a community hence they may be less concerned about the success of such a programme. This might be the case of PPP-MHPs as the scheme is not performing to expectation [
<xref ref-type="bibr" rid="R27">27</xref>].</p>
<title>4.5. Poor execution of Housing Policies</title><p>WHO [
<xref ref-type="bibr" rid="R28">28</xref>] stated that there are numerous examples of implemented policies that support healthy housing globally but there exist gaps in the existence of policy across all countries. Nigeria is perennially plagued by myriad problems which have contrived the nation's drive for socio-economic growth and sustainable development. Consequently, successive governments over the years have battled to alleviate the nation of its socioeconomic, environmental, and geopolitical challenges, thus beleaguered by pervasive inadequate housing [
<xref ref-type="bibr" rid="R29">29</xref>]. This indicates a palpable lack of sustainable housing in the country and calls for the need to institute more strategic plans, programs, and policies to ensure the sustainable development of safe, affordable, and robust housing for the populace. The current state of housing development in the country remains poor despite vast resources expended through various schemes over the years, thus there is a need for a change in the perception of housing policies by stakeholders in the country.</p>
<title>4.6. Wrong Perception of Housing need by Low-Income Earners</title><p>The wrong perception of housing needs by low-income earners might be connected with the inadequate mortgage finance in the country and the low quality of the finished product. The history of housing finance in Nigeria had been a terrible one [
<xref ref-type="bibr" rid="R30">30</xref>], some of these constraints were identified as unstable macroeconomic conditions, a weak legal framework for property rights, lack of mortgage market infrastructure, and unavailability of funds for long term finance intermediation but poor access to finance was the major identified impediment to having affordable housing in Nigeria brought about by the wrong perception [
<xref ref-type="bibr" rid="R31">31</xref>].</p>
<title>4.7. Illegal Title to Land</title><p>Land registration generally describes systems by which matters concerning ownership, possession, or other rights in land can be recorded (usually with a government agency or department) to provide evidence of title, facilitate the transaction, and prevent unlawful disposal which varies according to jurisdiction [
<xref ref-type="bibr" rid="R32">32</xref>]. The basic idea behind title registration is to confer on every owner or purchaser a title guaranteed by the state. The formal land market (the Land Use Act) is unable to meet the demand for urban land when and where needed for the teeming urban population. This is because of its implementation process which is time-consuming, frustrating, cumbersome, and highly bureaucratic [
<xref ref-type="bibr" rid="R33">33</xref>]. Some members of the OPS might have access to more than the allotted land space due to their connections to people in government which consequently encourages land speculation which is not healthy for urban land management.</p>
<title>4.8. Land Acquisition and Site Availability</title><p>In most PPP contract arrangements, the host government will provide the means of acquiring land for the Private partners to construct the facility. Most of the time, the government does this through its power of compulsory acquisition also known as expropriation of assets or compulsory purchase. Land availability at the appropriate time and reasonable price are critical to the delivery of PPP Mass housing projects at early completion and at reduced development cost; however, the party that bears the risk varies from project to project owing to the contract clauses and conditions.</p>
<title>4.9. Level of Demand for the Mass Housing Projects</title><p>A low level of demand or decline in the demand for the completed PPP-procured Mass housing projects by the general public may be a result of high inflation and an increase in interest rate. Makinde [
<xref ref-type="bibr" rid="R34">34</xref>] stated that there is a gap in knowledge between the requirement for housing and the ability to obtain the preferred housing type, which results in an effective request crisis for affordable housing in the country. Although it is clear there is a housing shortfall, it is fundamental to know that people can only obtain what they can to meet the expense. </p>
<title>4.10. In-Adequate Experience in PPP</title><p>Adequate PPP experience may be lacking, particularly in a sector where PPP is still emerging like the housing sector. This risk is common across public agencies, lack of PPP experience and knowledge by government representatives indicates a lack of capacity to negotiate contracts and guarantees from multi-national lenders to negotiate successful PPPs. Tati [
<xref ref-type="bibr" rid="R35">35</xref>] stated that the lack of attention or experience to handle risk transfer,  competition,  and contestability eroded the PPP's capacity among the stakeholders and this leads to strained relationships, protracted negotiations, and project implementation problems.</p>
</sec><sec id="sec5">
<title>Conclusion</title><p>The study reported on the rate of risk occurrence and severity associated with PPP-procured mass housing projects this is made possible by previously piloting the study through a two-stage Delphi procedure in which the risk associated with the sector was established. Sixty-three risk factors were found to be associated with PPP-procured mass housing in Nigeria and these were subjected to descriptive and inferential statistics. In terms of the likelihood of occurrence of risk factors on PPP MHPs, the top 10 factors with a high probability of occurrence are the availability of finance, high finance cost, non-involvement of the host community, poor execution of housing policies, corruption and lack of respect for the law, wrong perception of housing need by low-income earners, illegal title to land, land acquisition and site availability, level of demand for the mass housing projects and unstable value of the local currency. All the risk factors listed recorded a very high level of occurrence and high level of severity. </p>
<p>The implication for practice is that it provides the stakeholders in PPP-MHPs with comprehensive checklists that can aid in developing PPP risk assessment guidelines in the sector though both partners should be aware of the dynamic nature of risk because new ones might be emerging especially in the PPP MHP sector. The divergent view of the PPP partners involved in MHPs reinforces the short history and lack of PPP experience and expertise in the country. Awodele (2012) opined that the failure of some privatized projects in Nigeria was due to the short history and lack of PPP experience and expertise in the country. The study, therefore, recommends a risk management culture to be cultivated among the PPP Partners in the sector. The sector is expected to first generate a list of potential risk events on a PPP project as it was observed that there are no formalized approaches for allocating risks in PPP Mass Housing projects It was observed that the investment in the sector was highly risky, thus we also recommend that both the Public and the private sectors should endeavor to reduce or minimize the risk level by providing incentives that will encourage financial investment in the sector to bridge the housing need in the country.</p>
</sec>
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