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  <front>
      <journal-meta>
            <journal-id journal-id-type="issn">2808-0718</journal-id>
            <journal-title-group>
                <journal-title>Indonesian Journal of Business Analytics (IJBA)</journal-title>
                <abbrev-journal-title>Indonesian Journal of Business Analytics (IJBA)</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="epub">2808-0718</issn>
            <issn pub-type="ppub">2808-0718</issn>
            <publisher>
                <publisher-name>Formosa Publisher</publisher-name>
                <publisher-loc>Jl. Sutomo Ujung No.28 D, Durian, Kecamatan Medan Timur, Kota Medan, Sumatera Utara 20235, Indonesia.</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.55927/ijba.v5i4.14746</article-id>
            <article-categories/>
            <title-group>
                <article-title>Analysis of the Influence of Life Cycle, Investment Opportunity
                Set, Profitability, Leverage, and Free Cash Flow Equity on
                Dividend Policy in Property, Real Estate, and Building
                Construction Companies on the Indonesia Stock Exchange</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Nur Aisyah</given-names>
                        <surname>Fitri</surname>
                    </name>
                    <address>
                        <email>emailfitrini@gmail.com</email>
                    </address>
                    <xref ref-type="corresp" rid="cor-0"/>
                </contrib>

                <contrib contrib-type="author">
                    <name>
                        <given-names>Khaira Amalia</given-names>
                        <surname>Fachrudin</surname>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Syahyunan</given-names>
                        <surname></surname>
                    </name>
                </contrib>
            </contrib-group>
            <author-notes>
                <corresp id="cor-0">
                    <bold>Corresponding author: Nur Aisyah Fitri</bold>
                    Email:<email>emailfitrini@gmail.com</email>
                </corresp>
            </author-notes>
            <pub-date-not-available/>
            <volume>5</volume>
            <issue>4</issue>
            <issue-title>Analysis of the Influence of Life Cycle, Investment Opportunity
                Set, Profitability, Leverage, and Free Cash Flow Equity on
                Dividend Policy in Property, Real Estate, and Building
                Construction Companies on the Indonesia Stock Exchange</issue-title>
            <fpage>2943</fpage>
            <lpage>2954</lpage>
            <history>
                <date date-type="received" iso-8601-date="2025-6-21">
                    <day>21</day>
                    <month>6</month>
                    <year>2025</year>
                </date>
                <date date-type="rev-recd" iso-8601-date="2025-7-23">
                    <day>23</day>
                    <month>7</month>
                    <year>2025</year>
                </date>
                <date date-type="accepted" iso-8601-date="2025-8-21">
                    <day>21</day>
                    <month>8</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright© 2025 Formosa Publisher</copyright-statement>
                <copyright-holder>Formosa Publisher</copyright-holder>
                <license>
                    <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
                    <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri xlink:href="https://journal.formosapublisher.org/index.php/ijba" xlink:title="Analysis of the Influence of Life Cycle, Investment Opportunity
                Set, Profitability, Leverage, and Free Cash Flow Equity on
                Dividend Policy in Property, Real Estate, and Building
                Construction Companies on the Indonesia Stock Exchange">Analysis of the Influence of Life Cycle, Investment Opportunity
                Set, Profitability, Leverage, and Free Cash Flow Equity on
                Dividend Policy in Property, Real Estate, and Building
                Construction Companies on the Indonesia Stock Exchange</self-uri>
            <abstract>
                <p>The purpose of this study is to examine how 
                dividend policy is affected by life cycle, investment 
                opportunity  set,  profitability,  leverage,  and  free 
                cash flow equity in companies that are listed on the 
                Indonesia Stock Exchange and are involved in 
                property, real estate, and building construction. In 
                this  study,  the  Panel  Data  Regression  Model  with 
                Random Effect Model is used. The findings indicate 
                that life cycle has a significant and beneficial impact 
                on dividend policy, whereas leverage has a 
                significant  and  negative  impact  at  a  significance 
                level of 0.05. At a significance level of 0.1, 
                profitability, on the other hand, exhibits a positive 
                and significant influence. However, there is a slight 
                but favorable impact on dividend policy from free 
                cash flow equity and investment opportunity set.</p>
            </abstract>
            <kwd-group>
                <kwd>Life Cycle</kwd>
                <kwd>Investment Opportunity Set</kwd>
                <kwd>Profitability</kwd>
                <kwd>Leverage</kwd>
                <kwd>Free Cash Flow Equity</kwd>
                <kwd>Dividend Policy</kwd>
            </kwd-group>
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                <custom-meta>
                    <meta-name>issue-created-year</meta-name>
                    <meta-value>2025</meta-value>
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      </article-meta>
  </front>
  <body>
    <sec id="introduction">
      <title>INTRODUCTION</title>
      <p>The construction industry is one of Indonesia's most essential
  industries supporting economic progress. The significant investment in
  infrastructure development proves that Indonesia is experiencing
  increased economic growth. Badan Pusat Statistik published that the
  value of construction in Indonesia increased by 17.52% from 2018 to
  2019. The same thing was also shown in 2021, which increased by 7.1%
  from 2020. Then it also increased by 7.64% in 2022.</p>
      <p>The increasing development projects encourage business people,
  especially in the construction industry, to survive and demonstrate
  their ability to compete to achieve company goals, one of which is to
  maximize shareholder wealth through dividend payments. Dividend
  payments impact shareholder wealth and show the company's ability to
  take advantage of expansion opportunities in the future (Baker &amp;
  Kolb, 2009).</p>
      <p>Announcements about dividend payments are something that investors
  are always waiting for. However, dividend payment data in this sector
  during 2020-2023 shows that not all companies pay dividends
  consistently every year. Thus, it can be concluded that what investors
  expect does not match reality.</p>
      <p>Various factors can influence the company's inconsistency in paying
  dividends each year, some of which are the company's life cycle
  (Mueller, 1972); (DeAngelo et al., 2006), investment opportunity set
  (Adam &amp; Vidhan K Goyal, 2008), profitability (Brealey et al.,
  2007), leverage (Van &amp; Jhon M. Wachowicz, 2017), and free cash
  flow equity (F. E. Brigham &amp; Michael C. Ehrhardt, 2017).</p>
      <p>The life cycle will be associated with various decisions that will
  be taken by the company, one of which is dividend policy (Mueller,
  1972); (DeAngelo et al., 2006). The probability of a company paying
  dividends is due to the mixture of retained earnings and total equity
  (DeAngelo et al., 2006). Companies with a high ratio of retained
  earnings to total equity are considered to have large accumulated
  profits, so the company tends to pay dividends. (Aryani &amp; Dina
  Patrisia, 2021) found that the ratio of retained earnings to total
  equity positively and significantly affects dividend policy. (Hazmi et
  al., 2023) found that the ratio of retained earnings to total equity
  negatively and substantially affects dividend policy. (Bhattacharya et
  al., 2020) found that the proportion of this ratio cannot explain the
  main characteristics of dividend payments.</p>
      <p>An investment opportunity set is considered to be able to influence
  the amount of dividends paid. Investment opportunity set refers to how
  a company can take advantage of investment opportunities properly so
  that it will benefit the company in the future. (Andaswari et al.,
  2017) stated that investment opportunity sets have a positive and
  significant effect on dividend policy; investments made by the company
  provide a good level of profit so that the company can pay dividends.
  However, (Myers, 1977) stated that the size of the investment
  opportunity set will reduce the company's chances of paying dividends.
  Meanwhile, (Gupta et al., 2024) and (Khan et al., 2022) found that the
  investment opportunity set has a positive and insignificant effect on
  dividend policy.</p>
      <p>Profitability is a way for companies to measure performance by
  focusing on profit (Brealey et al., 2007). Companies that have high
  profits tend to have the ability to pay dividends. (Bunyamin et al.,
  2023) and (Chau, 2023) stated that increasing profitability will
  increase dividend payments. (Khan et al., 2022) found that
  profitability has a positive and significant effect on dividend policy
  in Korea but a negative and significant impact on Japan.</p>
      <p>Leverage describes how a company uses debt in its capital
  structure. Using sources of funds that have fixed costs to increase
  profits is called leverage (Van &amp; Jhon M. Wachowicz, 2017). Debt
  can improve a company's profitability by providing benefits such as a
  tax deduction. However, if the debt is too large, the company's
  financial burden will increase, reducing profitability (Fachrudin
  &amp; Fachrudin, 2022). Companies that have a high leverage ratio will
  limit dividend payments.(Liong et al., 2023) stated that leverage
  negatively and significantly affects dividend policy. Meanwhile, (Khan
  et al., 2022) found that leverage had a negative and insignificant
  effect on dividend policy in Japan but a positive and insignificant
  effect in Korea.</p>
      <p>The cash flow that can be distributed to shareholders is known as
  free cash flow equity (F. E. Brigham &amp; Michael C. Ehrhardt, 2017).
  According to (Gupta et al., 2024), (Chau, 2023), and (Dwiyanti &amp;
  Dadan Rahadian, 2017), free cash flow significantly and favorably
  influences dividend policy. In the meanwhile, free cash flow has a
  negative and substantial impact on dividend policy, according to
  (Momany et al., 2024). According to a study by Rosydah et al. (2023),
  dividend policy is positively and marginally impacted by free cash
  flow.</p>
      <p>The study's problem statement asks whether the life cycle has an
  impact on the dividend policy of building construction, real estate,
  and property companies listed on the Indonesia Stock Exchange for
  2020-2023. Does the dividend policy of real estate, building
  construction, and property firms listed on the Indonesia Stock
  Exchange for 2020–2023 depend on the Investment Opportunity Set? Does
  the dividend policy of building construction, real estate, and
  property companies listed on the Indonesia Stock Exchange for
  2020–2023 depend on profitability? Does leverage have an impact on
  dividend policies for building construction, real estate, and property
  businesses listed on the Indonesia Stock Exchange for 2020-2023? Does
  the dividend policy of real estate, building construction, and
  property businesses listed on the Indonesia Stock Exchange depend on
  free cash flow equity for 2020-2023?</p>
      <p>This study is to examine the life cycle influence on dividend
  policy in real estate, building construction, and property businesses
  listed on the Indonesia Stock Exchange for the 2020–2023 period, based
  on the problem formulation that was previously mentioned. To examine
  how the dividend policy of real estate, building construction, and
  property firms listed on the Indonesia Stock Exchange is affected by
  the investment opportunity established for 2020–2023. To examine how
  profitability affects dividend policies in property, real estate, and
  building construction companies listed on the Indonesia Stock Exchange
  for the 2020-2023. To examine how leverage affects dividend policies
  in building construction, real estate, and property companies listed
  on the Indonesia Stock Exchange for 2020- 2023. To examine how free
  cash flow equity affects dividend policies in building</p>
      <p>construction, real estate, and property companies listed on the
  Indonesia Stock Exchange for 2020-2023.</p>
    </sec>
    <sec id="literature-review">
      <title>LITERATURE REVIEW</title>
      <sec id="dividend-policy">
        <title>Dividend Policy</title>
        <p>Dividend policy is a constant conundrum. According to Modigliani
    and Miller, in a perfect market, a company's worth is based on its
    ability to make money and the risk of investing, not on the
    dividends it pays out. Nonetheless, investors choose dividends over
    gains that are more unclear and risky in the future, according to
    Gordon and Lintner. Additionally, according to the signal
    hypothesis, businesses will give out indications about their state.
    These indicators may indicate good or terrible news. The amount of
    current profit that will be distributed as dividends as opposed to
    being kept to be reinvested in the business is determined by the
    dividend policy (E. F. Brigham &amp; Joel F. Houston, 2001).</p>
      </sec>
      <sec id="life-cycle">
        <title>Life Cycle</title>
        <p>According to signal theory, dividend payments can be utilized to
    let investors know that the company's financial situation is
    improving. A company's likelihood of paying dividends will be
    impacted by its high life cycle ratio, which indicates that it has
    accumulated a sizable amount of earnings. According to research by
    Aryani and Dina Patrisia (2021), Chau (2023), and Dwiyanti and Dadan
    Rahadian (2017), the life cycle significantly and favorably
    influences dividend policy. Consequently, there is a strong and
    favorable correlation between dividend policy and life cycle.</p>
        <p>H1: For 2020–2023, life cycle has a major favorable impact on
    dividend policy for property, real estate, and building construction
    companies listed on the Indonesia Stock Exchange.</p>
      </sec>
      <sec id="investment-opportunity-set">
        <title>Investment Opportunity Set</title>
        <p>A business might have a high growth rate if it has a large range
    of investment opportunities (Giriati, 2016). According to signal
    theory, a business that is expanding quickly is sending out a
    positive signal since it has made a lot of money, which will raise
    the amount of money that can be distributed as dividends. Investment
    opportunity set has a favorable and large impact on dividend policy,
    according to research by Andaswari et al. (2017) and Liong et al.
    (2023). As a result, there is a strong and favorable correlation
    between dividend policy and investment opportunity set.</p>
        <p>H2: The dividend policy of property, real estate, and building
    construction companies listed on the Indonesia Stock Exchange for
    2020–2023 is substantially positively impacted by the investment
    opportunity provided.</p>
      </sec>
      <sec id="profitability">
        <title>Profitability</title>
        <p>The manager's choice about the total amount of dividends to be
    paid has a direct impact on profitability (Lintner, 1956). Investors
    are alerted to the company's strong financial performance by
    dividend payments. Businesses that consistently turn a profit
    typically distribute dividends. There is a positive and significant
    relationship between dividend policy and profitability, according to
    research by Gupta et al. (2024), Narindro &amp; Hasan Basri (2019),
    Chau (2023), and Momany et al. (2024). Profitability and dividend
    policy are therefore positively and significantly correlated.</p>
        <p>H3: For the years 2020–2023, the Indonesia Stock Exchange-listed
    property, real estate, and building construction companies' dividend
    policies are substantially impacted favorably by profitability.</p>
      </sec>
      <sec id="leverage">
        <title>Leverage</title>
        <p>According to Modigliani and Miller, debt interest can reduce
    taxes. The risk and return to shareholders increase with the amount
    of leverage (Syahyunan, 2013). Dividend payments will decrease as
    the amount of debt used to build the business increases since more
    interest will be paid (Silalahi et al., 2021). Additionally,
    businesses with a lot of debt will decide to pay off their debt
    instead of dividends. According to (Liong et al., 2023), (Momany et
    al., 2024), (Narindro &amp; Hasan Basri, 2019), and (Puspitaningtyas
    Z, 2019), leverage significantly and negatively affects dividend
    policy. Leverage and dividend policy are hence negatively and
    fundamentally related.</p>
        <p>H4: Leverage significantly negatively affects dividend policy in
    property, real estate, and building construction companies listed on
    the Indonesia Stock Exchange for 2020-2023.</p>
      </sec>
      <sec id="free-cash-flow-equity">
        <title>Free Cash Flow Equity</title>
        <p>Cash flow available for distribution to shareholders is known as
    free cash flow equity (F. E. Brigham &amp; Michael C. Ehrhardt,
    2017). This accessible cash enables the company to pay dividends and
    is a good indication that it is in sound financial standing.
    According to (Gupta et al., 2024), (Chau, 2023), and (Dwiyanti &amp;
    Dadan Rahadian, 2017), free cash flow significantly and favorably
    influences dividend policy. Consequently, there is a strong and
    favorable correlation between dividend policy and free cash flow
    equity.</p>
        <p>H5: In 2020–2023, free cash flow equity has a major favorable
    impact on dividend policy for property, real estate, and building
    construction companies listed on the Indonesia Stock Exchange.</p>
        <p>The conceptual framework proposed in this research can be described as follows:</p>
        <fig id="figure-hyumg5">
            <label>Figure 1. Conceptual Framework</label>
            <graphic xlink:href="East_Asian_Journal_of_Multidisciplinary_Research_EAJMR-4-8-3651-g1.png" mimetype="image"
                mime-subtype="png">
                <alt-text>Image</alt-text>
            </graphic>
        </fig>
          <p>
            <bold>Figure 1. Conceptual Framework</bold>
          </p>
      </sec>
    </sec>

    <sec id="methodology">
      <title>METHODOLOGY</title>
      <p>Panel Data Regression Analysis is used in this work. Property, real
  estate, and building construction businesses listed on the Indonesia
  Stock Exchange for the 2020-2023 were the subjects of this study.
  Purposive sampling techniques were used to choose 12 companies as
  samples from a population of 98 companies. EViews software is used to
  process data analysis procedures.</p>
    </sec>
    <sec id="research-result">
      <title>RESEARCH RESULT</title>
      <sec id="panel-data-regression">
        <title>Panel Data Regression</title>
        <p>The Common Effect Model, Fixed Effect Model, and Random Effect
    Model are the three models used in panel data regression. To choose
    a model, the Lagrange Multiplier Test, Hausman Test, and Chow Test
    are performed.</p>
      </sec>
      <sec id="chow-test">
        <title>Chow Test</title>
        <p>To choose between the Common Effect Model and the Fixed Effect
    Model for estimation, the Chow Test is used. Table 1 indicates that
    the Fixed Effect Model is the chosen estimate model because the
    Chi-square probability value is 0.032 &lt; 0.05.</p>
      </sec>
      <sec>
        <p>Table 1. Chow Test Result</p>
        <table-wrap id="T1" position="float">
          <label>Table 1. Chow Test Result</label>
          <caption>
            <title>Source: Data Processed with EViews</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Effects Test</th>
                <th>Statistic</th>
                <th>d.f.</th>
                <th>Prob.</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Period F</td>
                <td>2.339493</td>
                <td>(3,19)</td>
                <td>0.1058</td>
              </tr>
              <tr>
                <td>Period Chi-square</td>
                <td>8.802305</td>
                <td>3</td>
                <td>0.0320</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p></p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>
          <italic>Source: Data Processed with EViews</italic>
        </p>

        <sec id="hausman-test">
          <title>Hausman Test</title>
          <p>The Hausman Test was used to identify the estimate model
      between the Fixed Effect Model and the Random Effect Model after
      the Fixed Effect Model was chosen in the Chow Test. The Random
      Effect Model is the chosen estimation model since Table 2
      indicates that the probability value is 0.8804 &gt; 0.05.</p>
        </sec>
      </sec>

      <sec id="table-2.-hausman-test-result">
        <p>Table 2. Hausman Test Result</p>
        <table-wrap id="T2" position="float">
          <label>Table 2. Hausman Test Result</label>
          <caption>
            <title>Source: Data Processed with EViews</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Test Summary</th>
                <th>Chi-Sq. Statistic</th>
                <th>Chi-Sq. d.f.</th>
                <th>Prob.</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Cross-section random</td>
                <td>1.766282</td>
                <td>5</td>
                <td>0.8804</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p></p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>
          <italic>Source: Data Processed with EViews</italic>
        </p>
        <sec id="classical-assumption-test">
          <title>Classical Assumption Test</title>
          <p>The Random Effect Model has been chosen as the estimating model
      based on the Chow and Hausman Test. Gujarati and Porter (2015)
      state that if the Random Effect Model is selected as the
      estimation model, the General Least Square (GLS) estimation
      model's nature already satisfies the requirements of the classical
      assumption test, negating the need to perform the test.</p>
        </sec>
      </sec>
      <sec id="table-3.-random-effect-model-test-result">
        <p>Table 3. Random Effect Model Test Result</p>
        <table-wrap id="tbl3" position="float">
          <label>Table 3. Random Effect Model Test Result</label>
          <caption>
            <title>Source: Data Processed with EViews</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th>Variable</th>
                <th>Coefficient</th>
                <th>Std. Error</th>
                <th>t-Statistic</th>
                <th>Prob.</th>
              </tr>
            </thead>
            <tbody>
              <tr><td>LC_X1</td><td>189.1191</td><td>54.55863</td><td>3.466345</td><td>0.0022</td></tr>
              <tr><td>IOS_X2</td><td>67.07414</td><td>191.6311</td><td>0.350107</td><td>0.7277</td></tr>
              <tr><td>PROF_X3</td><td>700.3217</td><td>399.7989</td><td>1.751685</td><td>0.0938</td></tr>
              <tr><td>LEV_X4</td><td>-51.87596</td><td>24.99021</td><td>-2.075852</td><td>0.0498</td></tr>
              <tr><td>FCFE_X5</td><td>0.036086</td><td>0.033134</td><td>1.089116</td><td>0.2879</td></tr>
              <tr><td>C</td><td>-29.77499</td><td>54.40725</td><td>-0.547261</td><td>0.5897</td></tr>
            </tbody>

            <thead>
              <tr>
                <th colspan="5">Effects Specification</th>
              </tr>
              <tr>
                <th></th><th>S.D.</th><th>Rho</th><th></th><th></th>
              </tr>
            </thead>
            <tbody>
              <tr><td>Cross-section random</td><td>0.000000</td><td>0.0000</td><td></td><td></td></tr>
              <tr><td>Idiosyncratic random</td><td>69.99727</td><td>1.0000</td><td></td><td></td></tr>
            </tbody>

            <thead>
              <tr>
                <th colspan="5">Weighted Statistics</th>
              </tr>
            </thead>
            <tbody>
              <tr><td>R-squared</td><td>0.600788</td><td>Mean dependent var</td><td>68.64936</td><td></td></tr>
              <tr><td>Adjusted R-squared</td><td>0.510058</td><td>S.D. dependent var</td><td>90.18281</td><td></td></tr>
              <tr><td>S.E. of regression</td><td>63.12423</td><td>Sum squared resid</td><td>87662.71</td><td></td></tr>
              <tr><td>F-statistic</td><td>6.621712</td><td>Durbin-Watson stat</td><td>1.783846</td><td></td></tr>
              <tr><td>Prob(F-statistic)</td><td>0.000669</td><td></td><td></td><td></td></tr>
            </tbody>
          </table>

          <table-wrap-foot>
            <p></p>
          </table-wrap-foot>
        </table-wrap>
        <p>
          <italic>Source: Data Processed with EViews</italic>
        </p>
        <sec id="f-statistic-test">
          <title>F Statistic Test</title>
          <p>Given Table 3's Prob. (F-statistic) value of 0.00 &lt; 0.05, it
      may be inferred that dividend policy is influenced concurrently by
      life cycle, investment opportunity set, profitability, leverage,
      and free cash flow equity.</p>
        </sec>
        <sec id="determination-coefficient-adjusted-r2">
          <title>Determination Coefficient (Adjusted R2)</title>
          <p>It is also evident from Table 3 that the adjusted R2 value, or
      determination coefficient, is 0.51. According to this figure, 51%
      of dividend policy can be influenced by life cycle, investment
      opportunity set, profitability, leverage, and free cash flow
      equity, with the remaining 49% being influenced by factors not
      included in this study.</p>
        </sec>
        <sec id="hypothesis-testing">
          <title>Hypothesis Testing</title>
          <p>To ascertain if the independent factors in this study have a
      direct impact on the dependent variable, hypothesis testing is
      done. The Random Effect Model estimation is used for the t-test
      based on the findings of the Hausman and Chow tests. Five
      companies had deviant or outlier data, according to data
      processing results; therefore, the five samples are eliminated.
      Seven businesses are thus the number of samples used in this test.
      Table 3 displays the findings of the t-test.</p>
        </sec>
      </sec>
    </sec>
    <sec id="discussion">
      <title>DISCUSSION</title>
      <sec id="the-influence-of-life-cycle-on-dividend-policy">
        <title>The Influence of Life Cycle on Dividend Policy</title>
        <p>According to the findings of the t-test, the life cycle
    variable's coefficient value is 189.119 &gt; 0 and its probability
    value is 0.002 &lt; 0.05. It indicates that, for the 2020–2023
    period, the life cycle has a favorable and noteworthy impact on the
    dividend policy of companies engaged in real estate, building
    construction, and property on the Indonesia Stock Exchange. The
    study's findings support signal theory and demonstrate a favorable
    link. The fact that the corporation pays dividends shows that its
    finances are doing well. According to the life cycle, a business
    that has a high life cycle ratio has a sizable amount of cumulative
    profit. The business is able to pay dividends as a result. The
    study's findings are consistent with those of studies by Aryani and
    Dina Patrisia (2021), Chau (2023), and Dwiyanti and Dadan Rahadian
    (2017), which discovered that the life cycle significantly and
    favorably influences dividend policy.</p>
      </sec>
      <sec id="the-influence-of-investment-opportunity-set-on-dividend-policy">
        <title>The Influence of Investment Opportunity Set on Dividend
    Policy</title>
        <p>According to the t-test results, the investment opportunity set
    variable's coefficient value is 67.07 &gt; 0 and its probability
    value is 0.729 &gt; 0.05. It indicates that, for the years
    2020–2023, the investment opportunity set has a favorable and
    negligible impact on the dividend policy of real estate, building
    construction, and property businesses listed on the Indonesia Stock
    Exchange. According to signal theory, the study's findings indicate
    a favorable trend. Businesses that invest have the potential to
    increase their profits in the future, which means they have bright
    futures and the capacity to pay dividends. Nevertheless, this
    variable has no discernible influence. It could be that businesses
    in this industry need large sums of money to make them withhold
    profits because they need long-term investment. These businesses are
    also at risk from frequent changes in regulations. The business will
    keep enough cash on hand to cover this risk under these
    circumstances. Therefore, even though this variable theoretically
    exhibits a positive link, the corporation exercises caution when
    determining whether to pay dividends. The study's findings
    contradict those of Andaswari et al. (2017) and Liong et al. (2023),
    who claimed that the investment opportunity set significantly and
    favorably influences dividend policy. Nonetheless, it is consistent
    with the findings of Gupta et al. (2024) and Khan et al. (2022), who
    discovered that the investment opportunity set had a mildly beneficial impact on
    dividend policy.</p>
      </sec>
      <sec id="the-influence-of-profitability-on-dividend-policy">
        <title>The Influence of Profitability on Dividend Policy</title>
        <p>According to the t-test results, the profitability variable's
    regression coefficient value is 700.321 &gt; 0 with a probability of
    0.093 &lt; 0.1. This indicates that dividend policy in real estate,
    building construction, and property companies listed on the
    Indonesia Stock Exchange for 2020–2023 is favorably and strongly
    impacted by profitability. Signal theory explains this favorable
    association. A company's dividend payments will rise in proportion
    to its profits. The study's findings are consistent with those of
    Gupta et al. (2024), Narindro &amp; Hasan Basri (2019), Chau (2023),
    and Momany et al. (2024), who discovered that dividend policy is
    positively and significantly impacted by profitability. Therefore,
    the study's findings support the empirical finding that one of the
    primary determinants of dividends is profitability.</p>
      </sec>
      <sec id="the-influence-of-leverage-on-dividend-policy">
        <title>The Influence of Leverage on Dividend Policy</title>
        <p>According to the findings of the t-test, the leverage variable's
    regression coefficient value is -51.875 &lt; 0 with a probability
    value of 0.049 &lt; 0.05. The dividend policy of real estate,
    building construction, and property businesses listed on the
    Indonesia Stock Exchange for 2020–2023 is therefore adversely and
    considerably impacted by leverage. Modigliani Miller's capital
    structure theory with taxes, which holds that employing debt can
    result in tax benefits through loan interest, is supported by this
    negative link. Despite these advantages, a high debt load will
    increase the company's burden and lower after-tax profits.
    Businesses with a lot of debt will put paying off debt ahead of
    dividends since it is a commitment to creditors. According to Liong
    et al. (2023), Momany et al. (2024), Narindro &amp; Hasan Basri
    (2019), and Puspitaningtyas Z (2019), leverage has a negative and
    significant impact on dividend policy. These findings are consistent
    with those of other studies.</p>
      </sec>
      <sec id="the-influence-of-free-cash-flow-equity-on-dividend-policy">
        <title>The Influence of Free Cash Flow Equity on Dividend
    Policy</title>
        <p>The free cash flow equity variable's regression coefficient
    value, according to the t-test results, is 0.036 &gt; 0 with a Prob
    value of 0.287 &gt; 0.05. It indicates that, for the years
    2020–2023, free cash flow equity has a favorable and negligible
    impact on dividend policy in companies engaged in real estate,
    building construction, and property on the Indonesia Stock Exchange.
    The signal theory, which holds that businesses that pay dividends
    indicate that they have money available to distribute to
    shareholders, is supported by the positive correlation seen in this
    variable. Nevertheless, the study's findings indicated a negligible
    impact. The business can require a sizable amount of working capital
    in order to devote free cash flow to long-term initiatives.
    Businesses in this industry frequently require large sums of money
    for project development, heavy equipment purchases, site
    acquisition, and project loan repayment. It demonstrates that the
    corporation does not base its dividend payment decisions primarily
    on free cash flow equity. The findings of this study contradict
    those of Gupta et al. (2024), Chau (2023), and Dwiyanti &amp; Dadan
    Rahadian (2017), who claimed that free cash flow significantly and
    favorably influences dividend policy. However, free cash flow equity
    has a positive and negligible impact on dividend policy, according
    to research by Rosydah et al. (2023).</p>
      </sec>
    </sec>
    <sec id="conclusion">
      <title>CONCLUSION</title>
      <p>According to this study, dividend policy is significantly impacted
  negatively by leverage, but positively by life cycle and
  profitability. In the meantime, the dividend policy of property, real
  estate, and building construction companies listed on the Indonesia
  Stock Exchange for 2020–2023 is positively but marginally impacted by
  free cash flow equity and investment opportunity set. Businesses with
  high life cycle and profitability ratios should be the focus of
  investors who anticipate dividends as a return. Additionally,
  investors should be wary of businesses that use a lot of leverage
  because this can make it less likely that dividends will be paid
  out.</p>
    </sec>
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    </element-citation>
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  </back>
</article>
