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<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">OJCE</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Civil Engineering</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2164-3164</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojce.2018.82012</article-id>
      <article-id pub-id-type="publisher-id">OJCE-85300</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Articles</subject>
        </subj-group>
        <subj-group subj-group-type="Discipline-v2">
          <subject>Engineering</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>


          Major Determinants of Prices Increase of Building Materials on Ghanaian Construction Market

        </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Humphrey</surname>
            <given-names>Danso</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>Nana</surname>
            <given-names>Kwame Obeng-Ahenkora</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <addr-line>Department of Construction and Wood Technology, University of Education Winneba, Kumasi, Ghana</addr-line>
      </aff>
      <pub-date pub-type="epub">
        <day>09</day>
        <month>05</month>
        <year>2018</year>
      </pub-date>
      <volume>08</volume>
      <issue>02</issue>
      <fpage>142</fpage>
      <lpage>154</lpage>
      <history>
        <date date-type="received">
          <day>10,</day>
          <month>April</month>
          <year>2018</year>
        </date>
        <date date-type="rev-recd">
          <day>12,</day>
          <month>June</month>
          <year>2018</year>
        </date>
        <date date-type="accepted">
          <day>15,</day>
          <month>June</month>
          <year>2018</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>


          Prices increase of building materials is a common trend in both developed and developing countries. The prices increase of building materials results in high cost of housing.The aim of this study is to identify the major determinants of prices increase of building materials on Ghanaian construction market, and also to assess the relationship between the independent variables of the prices increase. A five-point Likert scale was used for the study; from strongly disagree (1) to strongly agree (5). The variables in the questionnaire were ranked based on the response of the participants of the study using Mean Response Analysis (MRA) statistics. Spearman correlation matrix was used to determine the relationship between the variables of prices increase of building materials. Crude oil prices, energy cost, local taxes and charges, cost of fuel and power supply, high running cost, high prices of raw materials, cost of transportation and the high cost of labour were found to be the major determinants of prices increase of building materials on Ghanaian construction market. The study further found multicollinearity relationship among variables of prices increase of building materials, of which the highest correlation coefficient was found between fast-growing demand due to high global economic growth and over-dependence on imported building materials. The study recommends that further research should be carried out to determine the control measures of increase prices of building materials in Ghana.

        </p>
      </abstract>
      <kwd-group>
        <kwd>Building Materials</kwd>
        <kwd> Construction Market</kwd>
        <kwd> Cost of Building Materials</kwd>
        <kwd> Prices Increase</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="s1">
      <title>1. Introduction</title>
      <p>
        Building materials are materials used in construction work starting from the underground to the finishing [<xref ref-type="bibr" rid="scirp.85300-ref1">1</xref>] . Building materials are basic construction products such as cement, bricks, concrete, and aggregates, i.e. sand, rock, and gravel [<xref ref-type="bibr" rid="scirp.85300-ref2">2</xref>] . Prices increase of building materials has become a common global trend, and even the developed countries are not left out. A number of developed countries are in recent times experiencing the problem with prices increase of building materials. According to Jonsson [<xref ref-type="bibr" rid="scirp.85300-ref3">3</xref>] , in Sweden, building materials’ cost rose by 3.1%, the largest increase in the building material group was in reinforcement steel which price increase by 5.8%, concrete products price rose at 2.7% and other building material groups also increased. Slowey [<xref ref-type="bibr" rid="scirp.85300-ref4">4</xref>] noted that the numbers from the Bureau of Labour Statistics US revealed a 4.8% rise in building material prices between February 2016 and February 2017. Building materials cost fluctuate on a daily basis, but the overall trend in recent time has been up [<xref ref-type="bibr" rid="scirp.85300-ref5">5</xref>] .
      </p>
      <p>
        The situation in developing countries is not different, where building materials prices keep increasing. A study by Windapo et al. [<xref ref-type="bibr" rid="scirp.85300-ref6">6</xref>] showed that the price of building materials in South Africa among others have an effect on the cost of the building. The cost of building new houses in Namibia increased considerably between 2008 and 2009 because of a hike in the prices of building materials, like cement [<xref ref-type="bibr" rid="scirp.85300-ref7">7</xref>] . According to Pashardesa and Savva [<xref ref-type="bibr" rid="scirp.85300-ref8">8</xref>] increase in house prices during the period 1988-2008 in Cyprus points to increase in the cost of building materials.
      </p>
      <p>
        Wagura [<xref ref-type="bibr" rid="scirp.85300-ref9">9</xref>] noted that building materials are expensive in Kenya due to the transport and importation costs. A study by Oladipo and Oni [<xref ref-type="bibr" rid="scirp.85300-ref10">10</xref>] reviewed selected macroeconomic factors impacting building material prices in Nigeria. Huan and Jianhua [<xref ref-type="bibr" rid="scirp.85300-ref11">11</xref>] analysed the factors that cause the price change of building materials in China. Rajaprabha et al. [<xref ref-type="bibr" rid="scirp.85300-ref12">12</xref>] studied the factors affecting the cost of building material in construction projects in India. Nadramia [<xref ref-type="bibr" rid="scirp.85300-ref2">2</xref>] indicated that demographic trends and other indicators are most relevant in the assessment of market conditions for building materials prices. This means studying the factors that cause prices increase of building materials in different countries is relevant because the situation in each country is different. There is the need also to determine the factors that contribute to the prices increase of building materials in Ghana. This study, therefore, investigates the major determinates of prices increase of building materials on Ghanaian construction market, and also assess the relationship between the independent variables.
      </p>
    </sec>
    <sec id="s2">
      <title>2. Literature Review</title>
      <p>
        The supply of houses is affected by the increase in the costs of building materials [<xref ref-type="bibr" rid="scirp.85300-ref13">13</xref>] . The growth of the construction sector brings with it, the growth in the manufacturing industry for the building materials such as cement and steel [<xref ref-type="bibr" rid="scirp.85300-ref9">9</xref>] . Cost overruns among other factors are often caused by the increasing prices of resources such as building materials [<xref ref-type="bibr" rid="scirp.85300-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.85300-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.85300-ref16">16</xref>] . The cost of building a house has rapidly increased with the increase in the cost of construction materials such as cement, steel, sand, and piling materials since 2008 [<xref ref-type="bibr" rid="scirp.85300-ref17">17</xref>] . According to Reyes [<xref ref-type="bibr" rid="scirp.85300-ref5">5</xref>] in the US, prices of building materials increased in 2016 by:
      </p>
      <p>・ 13.8% for oriented strand board (OSB), a type of particle board commonly used in home construction;</p>
      <p>・ 8.7% for softwood lumber, commonly used in home construction;</p>
      <p>・ 5.0% for gypsum products, such as plaster and plasterboard; and</p>
      <p>・ 3.5% for ready-mix concrete, used for projects like foundations and driveways.</p>
      <p>
        Oladipo and Oni [<xref ref-type="bibr" rid="scirp.85300-ref10">10</xref>] established that inflation, exchange rate, import, interest rate, money supply and demand for money have a significant effect on the prices of building materials in Nigeria. Another study conducted in Nigeria by Akanni et al. [<xref ref-type="bibr" rid="scirp.85300-ref18">18</xref>] found that the three most rated factors responsible for the rising cost of building materials are the exchange rate of the Nigeria Naira, cost of fuel and power supply, and changes in government policies and legislation, while fluctuations in the construction cost, reduced volume of construction output and risk of project abandonment were the three most rated implications. A study by Huan and Jianhua [<xref ref-type="bibr" rid="scirp.85300-ref11">11</xref>] identified the value of building materials, supply-demand relationship, national macro policy, the value of money, notes circulation and the influence of the international market as the factors that cause the price change of building materials in China. In South Africa, a study by Windapo and Cattell [<xref ref-type="bibr" rid="scirp.85300-ref19">19</xref>] examined the trends in building material prices and the factors contributing to the increase in prices of building materials. The study found transport costs, crude oil prices, labour costs and energy costs as the factors that affect building material prices.
      </p>
      <p>
        Rajaprabha et al. [<xref ref-type="bibr" rid="scirp.85300-ref12">12</xref>] found design issues and market condition issues as the major significant factors that cause building materials’ prices increase in India. According to Nadramia [<xref ref-type="bibr" rid="scirp.85300-ref2">2</xref>] , building materials companies that are able to defend and increase market share are likely to adjust their strategies to evolving market conditions, be innovative, have some pricing advantage, and maintain sales growth and profitability, even during adverse economic conditions. A study by Tupenaite et al. [<xref ref-type="bibr" rid="scirp.85300-ref20">20</xref>] reveals that prices movements in Lithuania’s housing sector can largely be explained by economic fundamentals and housing market indicators. The housing supply lag in urban areas has been worsened by the high cost of building materials among others which make decent houses unaffordable to the urban poor who in turn result to makeshift houses [<xref ref-type="bibr" rid="scirp.85300-ref9">9</xref>] .
      </p>
    </sec>
    <sec id="s3">
      <title>3. Methodology</title>
      <p>
        The research design used for this study was a descriptive survey. The population of the study were building material merchants, building contractors and registered quantity surveyors. They constituted the population of the study due to the fact that they are knowledgeable on issues related to pricing of building materials. Snowball and purposive sampling techniques were used to select the sample for collecting data. The snowball technique was adopted for selecting merchants of building materials to participate in the study. Glen [<xref ref-type="bibr" rid="scirp.85300-ref21">21</xref>] explains snowball sampling as a technique where research participants recruit other participants for a test or study. It is used where potential participants are hard to find. It is called snowball sampling because once you have the ball rolling, it picks up more “snow” along the way and becomes larger and larger. Initially, three merchants of building materials were identified who aided in recruiting others for the study. Purposive sampling technique was also used to select the contractors and quantity surveyors for the study. Contractors and quantity surveyors who were currently involved in construction project works were chosen for the study since they possessed enough information on the current prices of building materials. Three cities were selected for the study, thus Accra, Kumasi and Sunyani. Accra and Kumasi were selected because they are the cities where major construction activities are taking place, while Sunyani was selected to represent cities with less construction activities.
      </p>
      <p>
        The questionnaire was used to collect data on the major determinants of prices increase of building materials in Ghanaian construction market. A five-point Likert scale was used for the study; from strongly disagree (1) to strongly agree (5). The questionnaire contained items on demographic data and items on the determinants of building materials prices increase. The items on the determinants of building materials prices increase were adopted from literature. The instrument was pilot tested and the reliability coefficient (Cronbach’s Alpha) determined was 0.93 which was above the recommended value of 0.7 [<xref ref-type="bibr" rid="scirp.85300-ref22">22</xref>] . The questionnaire was administered to a selected sample of 120, out of which 95 questionnaires were retrieved, representing 79% response rate.
      </p>
      <p>The variables in the questionnaire were ranked based on the response of the participants using Mean Response Analysis (MRA) statistics. The mean score obtained was based on the five-point Likert scale. The formula for the MRA is:</p>
      <p>
        Mean score = (5n<sub>5</sub> + 4n<sub>4</sub> + 3n<sub>3</sub> + 2n<sub>2</sub> + 1n<sub>1</sub>)/ (n<sub>5</sub> + n<sub>4</sub> + n<sub>3</sub> + n<sub>2</sub> + n<sub>1</sub>)
      </p>
      <p>
        where n<sub>5</sub>, n<sub>4</sub>, n<sub>3</sub>, n<sub>2</sub>, n<sub>1</sub> = number of respondents who answered from strongly agree to strongly disagree.
      </p>
      <p>This ranking aided in determining which variables play the main role in determining price increase of building materials. The mean ratings were compared with the theoretical mean rating of 4.0 to determine the major determinants of prices increase of building materials in the construction market. Therefore, any mean relating to 4.0 or above indicated the expression of major determinant of the prices increase of building material, while mean values below 4.0 indicated the expression of none major determinants. Also, Spearman correlation matrix with the aid of statistical package for social sciences (SPSS) version 21 was used to determine the relationship between the variables.</p>
    </sec>
    <sec id="s4">
      <title>4. Results and Discussion</title></sec>
      <sec id="s4_1">
        <title>4.1. Demographic Characteristics of the Respondents</title>
        <p>
          The demographic characteristics of the respondents are shown in <xref ref-type="table" rid="table1">Table 1</xref>. It could be seen that majority (80%) of the respondents were males, which indicates male dominant in the construction industry in Ghana as was also found by Danso [<xref ref-type="bibr" rid="scirp.85300-ref23">23</xref>] . 31% the respondents were less than 30 years of age. Those between 40 - 49 years also formed 29% of the overall respondents, whereas 30 - 39 years were 24% of respondents. Generally, it could be seen that majority of the respondents were less than 50 years with an overall percentage of 84% of total respondents. For Kumasi municipality, a total of 29 respondents were obtained with 10 quantity surveyors, 11 merchants and 8 contractors, whereas Accra had respondents of 49 with 18 quantity surveyors, 21 contractors, and 10 merchants. Sunyani, had 2 quantity surveyors, 3 contractors, and 12 merchants. Generally, the majority (68%) of respondents had 5 and more years of working experience.
        </p>
      </sec>
      <sec id="s4_2">
        <title>4.2. Major Determinants of Prices Increase of Building Materials</title>
        <p>To achieve the objective of the study, it was necessary to identify the determinants of prices increase of building materials, as such the variable were obtained from literature review which was used in the determination of these major determinants. The ranking of the variables of the prices increase of building materials was estimated from the MRA statistics. The mean score for each variable was based on the Likert-type scale of 1 to 5.</p>
        <table-wrap id="table1" >
          <label>
            <xref ref-type="table" rid="table1">Table 1</xref>
          </label>
          <caption>
            <title> Demographic characteristics of respondents (n = 95)</title>
          </caption>
          <table>
            <tbody>
              <thead>
                <tr>
                  <th align="center" valign="middle"  rowspan="2"  >Characteristics</th>
                  <th align="center" valign="middle" >Merchants</th>
                  <th align="center" valign="middle" >Contractors</th>
                  <th align="center" valign="middle" >Quantity Surveyors</th>
                  <th align="center" valign="middle"  colspan="2"  >Total</th>
                </tr>
              </thead>
              <tr>
                <td align="center" valign="middle" >(Freq.)</td>
                <td align="center" valign="middle" >(Freq.)</td>
                <td align="center" valign="middle" >(Freq.)</td>
                <td align="center" valign="middle" >(Freq.)</td>
                <td align="center" valign="middle" >(%)</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >Gender</td>
                <td align="center" valign="middle" ></td>
                <td align="center" valign="middle" ></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" >Male</td>
                <td align="center" valign="middle" >21</td>
                <td align="center" valign="middle" >31</td>
                <td align="center" valign="middle" >24</td>
                <td align="center" valign="middle" >76</td>
                <td align="center" valign="middle" >80</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >Female</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >19</td>
                <td align="center" valign="middle" >20</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >Age</td>
                <td align="center" valign="middle" ></td>
                <td align="center" valign="middle" ></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" >&lt;30 years</td>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >15</td>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >31</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >30 - 39 years</td>
                <td align="center" valign="middle" >9</td>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >23</td>
                <td align="center" valign="middle" >24</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >40 - 49 years</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >28</td>
                <td align="center" valign="middle" >29</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >50 - 59 years</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >13</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >≥ 60</td>
                <td align="center" valign="middle" >0</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >3</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >Municipality</td>
                <td align="center" valign="middle" ></td>
                <td align="center" valign="middle" ></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" >Kumasi</td>
                <td align="center" valign="middle" >11</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >31</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >Accra</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >21</td>
                <td align="center" valign="middle" >18</td>
                <td align="center" valign="middle" >49</td>
                <td align="center" valign="middle" >51</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >Sunyani</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >17</td>
                <td align="center" valign="middle" >18</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >Experience</td>
                <td align="center" valign="middle" ></td>
                <td align="center" valign="middle" ></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" >&lt;5 years</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >11</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >31</td>
                <td align="center" valign="middle" >32</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >5 - 9 years</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >35</td>
                <td align="center" valign="middle" >37</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >&gt;10 years</td>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >11</td>
                <td align="center" valign="middle" >5</td>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >31</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>
          The results shown in <xref ref-type="table" rid="table2">Table 2</xref> represent respondents ranking of the determinants of prices increases of building materials in Ghana. Out of the 29 variables from literature presented to the respondents, they ranked 8 as the major determinants of prices increase of building materials. Crude oil prices, energy cost,
        </p>
        <table-wrap id="table2" >
          <label>
            <xref ref-type="table" rid="table2">Table 2</xref>
          </label>
          <caption>
            <title> Mean Response Analysis (MRA) statistics of the respondents</title>
          </caption>
          <table>
            <tbody>
              <thead>
                <tr>
                  <th align="center" valign="middle" >S/N</th>
                  <th align="center" valign="middle" >Causes</th>
                  <th align="center" valign="middle" >1</th>
                  <th align="center" valign="middle" >2</th>
                  <th align="center" valign="middle" >3</th>
                  <th align="center" valign="middle" >4</th>
                  <th align="center" valign="middle" >5</th>
                  <th align="center" valign="middle" >Total</th>
                  <th align="center" valign="middle" >Mean</th>
                  <th align="center" valign="middle" >Rank</th>
                </tr>
              </thead>
              <tr>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >Crude oil prices</td>
                <td align="center" valign="middle" >0</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >50</td>
                <td align="center" valign="middle" >28</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >4.21</td>
                <td align="center" valign="middle" >1</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >Energy cost</td>
                <td align="center" valign="middle" >0</td>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >5</td>
                <td align="center" valign="middle" >44</td>
                <td align="center" valign="middle" >30</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >4.20</td>
                <td align="center" valign="middle" >2</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >Local taxes and charges</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >9</td>
                <td align="center" valign="middle" >34</td>
                <td align="center" valign="middle" >37</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >4.18</td>
                <td align="center" valign="middle" >3</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >Cost of fuel and power supply</td>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >30</td>
                <td align="center" valign="middle" >38</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >4.18</td>
                <td align="center" valign="middle" >3</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >5</td>
                <td align="center" valign="middle" >High running cost</td>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >43</td>
                <td align="center" valign="middle" >30</td>
                <td align="center" valign="middle" >84</td>
                <td align="center" valign="middle" >4.17</td>
                <td align="center" valign="middle" >5</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >High prices of raw materials</td>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >35</td>
                <td align="center" valign="middle" >34</td>
                <td align="center" valign="middle" >84</td>
                <td align="center" valign="middle" >4.15</td>
                <td align="center" valign="middle" >6</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >Cost of transportation</td>
                <td align="center" valign="middle" >0</td>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >9</td>
                <td align="center" valign="middle" >41</td>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >4.09</td>
                <td align="center" valign="middle" >7</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >High cost of labour</td>
                <td align="center" valign="middle" >0</td>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >40</td>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >84</td>
                <td align="center" valign="middle" >4.08</td>
                <td align="center" valign="middle" >8</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >9</td>
                <td align="center" valign="middle" >Rapid depreciation of national currency</td>
                <td align="center" valign="middle" >1</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >15</td>
                <td align="center" valign="middle" >34</td>
                <td align="center" valign="middle" >27</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >3.92</td>
                <td align="center" valign="middle" >9</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >Interest rate and cost of finance</td>
                <td align="center" valign="middle" >5</td>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >9</td>
                <td align="center" valign="middle" >47</td>
                <td align="center" valign="middle" >18</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >3.83</td>
                <td align="center" valign="middle" >10</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >11</td>
                <td align="center" valign="middle" >Government policies and legislature</td>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >15</td>
                <td align="center" valign="middle" >35</td>
                <td align="center" valign="middle" >24</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >3.80</td>
                <td align="center" valign="middle" >11</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >Maximization of profit by manufacturers</td>
                <td align="center" valign="middle" >4</td>
                <td align="center" valign="middle" >5</td>
                <td align="center" valign="middle" >15</td>
                <td align="center" valign="middle" >47</td>
                <td align="center" valign="middle" >14</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >3.73</td>
                <td align="center" valign="middle" >12</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >High tariffs</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >14</td>
                <td align="center" valign="middle" >11</td>
                <td align="center" valign="middle" >35</td>
                <td align="center" valign="middle" >21</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >3.71</td>
                <td align="center" valign="middle" >13</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >14</td>
                <td align="center" valign="middle" >Over-dependence on imported building materials</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >17</td>
                <td align="center" valign="middle" >14</td>
                <td align="center" valign="middle" >24</td>
                <td align="center" valign="middle" >27</td>
                <td align="center" valign="middle" >84</td>
                <td align="center" valign="middle" >3.68</td>
                <td align="center" valign="middle" >14</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >15</td>
                <td align="center" valign="middle" >Cost of plant</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >20</td>
                <td align="center" valign="middle" >34</td>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >3.49</td>
                <td align="center" valign="middle" >15</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >16</td>
                <td align="center" valign="middle" >Declining supply or anticipated shortage in supply</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >18</td>
                <td align="center" valign="middle" >20</td>
                <td align="center" valign="middle" >24</td>
                <td align="center" valign="middle" >19</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >3.48</td>
                <td align="center" valign="middle" >16</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >17</td>
                <td align="center" valign="middle" >Behaviour of financial market participants</td>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >16</td>
                <td align="center" valign="middle" >15</td>
                <td align="center" valign="middle" >30</td>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >81</td>
                <td align="center" valign="middle" >3.32</td>
                <td align="center" valign="middle" >17</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >18</td>
                <td align="center" valign="middle" >Competition</td>
                <td align="center" valign="middle" >14</td>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >28</td>
                <td align="center" valign="middle" >19</td>
                <td align="center" valign="middle" >84</td>
                <td align="center" valign="middle" >3.30</td>
                <td align="center" valign="middle" >18</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >19</td>
                <td align="center" valign="middle" >Fast-growing demand due to high global economic growth</td>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >27</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >24</td>
                <td align="center" valign="middle" >13</td>
                <td align="center" valign="middle" >82</td>
                <td align="center" valign="middle" >3.13</td>
                <td align="center" valign="middle" >19</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >20</td>
                <td align="center" valign="middle" >Population growth</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >19</td>
                <td align="center" valign="middle" >14</td>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >11</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >3.09</td>
                <td align="center" valign="middle" >20</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >21</td>
                <td align="center" valign="middle" >Related product pricing</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >16</td>
                <td align="center" valign="middle" >23</td>
                <td align="center" valign="middle" >33</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >3.08</td>
                <td align="center" valign="middle" >21</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >22</td>
                <td align="center" valign="middle" >Purchase frequency</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >30</td>
                <td align="center" valign="middle" >17</td>
                <td align="center" valign="middle" >28</td>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >3.07</td>
                <td align="center" valign="middle" >22</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >23</td>
                <td align="center" valign="middle" >Availability of substitute</td>
                <td align="center" valign="middle" >7</td>
                <td align="center" valign="middle" >20</td>
                <td align="center" valign="middle" >20</td>
                <td align="center" valign="middle" >30</td>
                <td align="center" valign="middle" >5</td>
                <td align="center" valign="middle" >82</td>
                <td align="center" valign="middle" >3.07</td>
                <td align="center" valign="middle" >22</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >24</td>
                <td align="center" valign="middle" >Lack or absence of indigenous technology for the production of building materials</td>
                <td align="center" valign="middle" >15</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >21</td>
                <td align="center" valign="middle" >28</td>
                <td align="center" valign="middle" >9</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >3.05</td>
                <td align="center" valign="middle" >24</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >25</td>
                <td align="center" valign="middle" >Price skimming</td>
                <td align="center" valign="middle" >6</td>
                <td align="center" valign="middle" >22</td>
                <td align="center" valign="middle" >21</td>
                <td align="center" valign="middle" >32</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >83</td>
                <td align="center" valign="middle" >3.02</td>
                <td align="center" valign="middle" >25</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >26</td>
                <td align="center" valign="middle" >Producers incentives</td>
                <td align="center" valign="middle" >8</td>
                <td align="center" valign="middle" >21</td>
                <td align="center" valign="middle" >23</td>
                <td align="center" valign="middle" >27</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >81</td>
                <td align="center" valign="middle" >2.93</td>
                <td align="center" valign="middle" >26</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >27</td>
                <td align="center" valign="middle" >Inadequate infrastructural facilities</td>
                <td align="center" valign="middle" >11</td>
                <td align="center" valign="middle" >27</td>
                <td align="center" valign="middle" >18</td>
                <td align="center" valign="middle" >17</td>
                <td align="center" valign="middle" >12</td>
                <td align="center" valign="middle" >85</td>
                <td align="center" valign="middle" >2.91</td>
                <td align="center" valign="middle" >27</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >28</td>
                <td align="center" valign="middle" >Business cycles</td>
                <td align="center" valign="middle" >10</td>
                <td align="center" valign="middle" >19</td>
                <td align="center" valign="middle" >23</td>
                <td align="center" valign="middle" >25</td>
                <td align="center" valign="middle" >3</td>
                <td align="center" valign="middle" >80</td>
                <td align="center" valign="middle" >2.90</td>
                <td align="center" valign="middle" >28</td>
              </tr>
              <tr>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >Knowledge and management skills</td>
                <td align="center" valign="middle" >18</td>
                <td align="center" valign="middle" >29</td>
                <td align="center" valign="middle" >18</td>
                <td align="center" valign="middle" >17</td>
                <td align="center" valign="middle" >2</td>
                <td align="center" valign="middle" >84</td>
                <td align="center" valign="middle" >2.48</td>
                <td align="center" valign="middle" >29</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>
          local taxes and charges, cost of fuel and power supply, high running cost, high prices of raw materials, cost of transportation and high cost of labour with mean values 4.21, 4.20, 4.18, 4.18, 4.17, 4.15, 4.09 and 4.08 respectively, were found to be the major determinants of the increase prices of building materials. This result corroborates the findings of previous studies as the mean score of the opinions of respondents in <xref ref-type="table" rid="table2">Table 2</xref> confirms the findings of Akanni et al. [<xref ref-type="bibr" rid="scirp.85300-ref18">18</xref>] , Windapo and Cattel [<xref ref-type="bibr" rid="scirp.85300-ref19">19</xref>] , Ihuah [<xref ref-type="bibr" rid="scirp.85300-ref24">24</xref>] , Mbugua [<xref ref-type="bibr" rid="scirp.85300-ref25">25</xref>] , Kpogli [<xref ref-type="bibr" rid="scirp.85300-ref26">26</xref>] , Bencivenga et al. [<xref ref-type="bibr" rid="scirp.85300-ref27">27</xref>] and Entin [<xref ref-type="bibr" rid="scirp.85300-ref28">28</xref>] .
        </p>
        <p>
          A close observation of the variables responsible for the increasing prices of building materials in <xref ref-type="table" rid="table2">Table 2</xref> reveals that the crude oil price is the most significant variable. This variable is perceived to have produced a chain effect and is responsible for the ranks of the energy cost and cost of fuel and power supply as Ghanaians dependency on imports of petroleum products, which are widely used to generate energy for both production and transportation of the building materials across the nation is very high [<xref ref-type="bibr" rid="scirp.85300-ref26">26</xref>] . The crude oil prices, which by implication affects the cost of fuel, energy and the cost of transportation, is also perceived to have been responsible for the trend in the rising cost of building materials such as aggregates, sand, cement, reinforcement etc. as depicted in the price index of Akanni et al. [<xref ref-type="bibr" rid="scirp.85300-ref18">18</xref>] .
        </p>
        <p>
          Energy cost ranked second by respondents was found to be a major determinant of price increase of building materials. High energy costs have an impact on the production of most building materials since producers need to expand building material costs to wage off the increments in high energy costs [<xref ref-type="bibr" rid="scirp.85300-ref19">19</xref>] . A large portion of the energy utilized for the manufacturing of building materials is subject to the use of crude oil, once the expenses of crude oil heighten, then the cost required in producing energy will likewise increase, with the influence increasing the cost of other products [<xref ref-type="bibr" rid="scirp.85300-ref27">27</xref>] .
        </p>
        <p>
          An increase in local taxes and charges influences everything required in the production of building materials in an unexpected way. Taxes and charges imposed on suppliers by the government and its allies may be passed on to the buyers of the building materials as a cost increment. In the event that the completed item can't ingest the taxation rate, the producer or the retailer may need to bear the taxation rate or find different strategies to assimilate the expense. Moving the weight of an expense is not generally a monetarily plausible alternative, and the versatility of interest will, at last, manage the capacity to move the taxation rate to another gathering [<xref ref-type="bibr" rid="scirp.85300-ref28">28</xref>] .
        </p>
        <p>
          The cost of raw materials for manufacturing building materials impact on the prices of the building materials. The rising raw materials costs along with other factors such as oil, gas and energy are the key causes of increases in the prices of building materials such as cement, roofing membranes and waterproofing [<xref ref-type="bibr" rid="scirp.85300-ref29">29</xref>] . The raw materials required and the proposed construction details have bearing on the cost of the project [<xref ref-type="bibr" rid="scirp.85300-ref30">30</xref>] .
        </p>
        <p>
          Cost of transportation has been identified to be one of the contributing factors to the cost of building materials [<xref ref-type="bibr" rid="scirp.85300-ref31">31</xref>] . The increased material cost is primarily due to increased transport charges [<xref ref-type="bibr" rid="scirp.85300-ref32">32</xref>] . High transport and freight costs have been identified as the factors responsible for building material price increases in most African countries [<xref ref-type="bibr" rid="scirp.85300-ref19">19</xref>] .
        </p>
        <p>
          The high cost of labour leads to increase prices of building materials. A number of factors affect labour costs but can also boost productivity, these include better training, realistic performance-based incentives and effective organisation and supervision [<xref ref-type="bibr" rid="scirp.85300-ref33">33</xref>] . The employer’s commitment to workers in terms of providing training and offering better rates of pay and conditions to staff is normally a worthwhile investment [<xref ref-type="bibr" rid="scirp.85300-ref30">30</xref>] . This invariably leads to high cost of labour which is passed on to the cost of the product.
        </p>
      </sec>
      <sec id="s4_3">
        <title>4.3. Relationship between Independent Variables of Prices Increase of Building Materials</title>
        <p>
          To assess the association between the independent variables of prices increase of building materials, a simple bivariate correlation was carried out and the results are shown in <xref ref-type="table" rid="table3">Table 3</xref> which reports the intercorrelation matrix of the independent variables. <xref ref-type="table" rid="table3">Table 3</xref> shows a Spearman correlation matrix among independent variables. The result portrayed multicollinearity among variables. A two-tailed spearmen correlation was used in order to ascertain the direction of the relationship between the variables since initially the direction was not known. Relationships between variables were either positive or negative. The highest correlation coefficient was found between fast-growing demand due to high global economic growth and over-dependence on imported building materials (r = 0.607; p &lt; 0.01).
        </p>
        <p>Government policies and legislature had a positive relationship with some variables such as local taxes and charges (r = 0.438, p &lt; 0.01), and fast-growing demand due to high global economic growth (r = 0.302, p &lt; 0.01). This indicates that if the impact of government policies and legislature on building materials prices increases then the impact of variables such as local taxes and charges, and fast-growing demand due to high global economic growth will also increase. This is as a result of the influence of government and its policies and legislature on other variables within the same jurisdictions as such a higher impact accruing from that will lead to the same impact from the other related variables.</p>
        <p>The variable interest rate and cost of finance had a direct relationship between cost of fuel and power supply (r = 0.407, p &lt; 0.01), inadequate infrastructural facilities (r = 313, p &lt; 0.1), cost of plant (r = 0.560, p &lt; 0.01), business cycles (r = 0.360, p &lt; 0.01), knowledge and management skills (r = 0.331, p &lt; 0.01), and population growth (r = 0.385, p &lt; 0.01). This implies that in considering their influence on pricing, they all have the same level of impact as such they all have the iota of impact on building materials prices. Interest rate and cost of finance again had a negative or an inverse relationship between high prices of raw materials. The inverse relationship implies that inculcating a full effect of one on</p>
       </sec>
         </body>
         
           <back>
          <ref-list>
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