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<front>
<journal-meta>
  <journal-id journal-id-type="publisher-id">51</journal-id>
  <journal-id journal-id-type="short-title">ger</journal-id>
  <journal-id journal-id-type="doi">10.31703/ger</journal-id>
  <journal-title-group>
    <journal-title>Global Economic Review</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ger</abbrev-journal-title>
  </journal-title-group>
  <issn publication-format="print">2521-2974</issn>
  <issn publication-format="electronic">2707-0093</issn>
  <self-uri xlink:href="https://gerjournal.com"/>
  <publisher>
    <publisher-name>Humanity Publications</publisher-name>
    <publisher-loc>Pakistan</publisher-loc>
  </publisher>
</journal-meta>
<article-meta>
  <article-id pub-id-type="publisher-id">392099</article-id>
  <article-id pub-id-type="doi">10.31703/ger.2018(III-I).09</article-id>
  <article-id pub-id-type="other" specific-use="submission-id">2568</article-id>
  <article-version article-version-type="publisher">1.0</article-version>
  <article-categories>
    <subj-group subj-group-type="heading">
      <subject>article</subject>
    </subj-group>
  </article-categories>
  <title-group>
    <article-title xml:lang="en">Banking Sector Performance and Political Stability9apos9s Impact on Economic Growth in Pakistan</article-title>
  </title-group>
<contrib-group>
  <contrib contrib-type="author" seq="1" corresp="yes">
    <name>
      <surname>Khan</surname>
      <given-names>Junaid</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
    <xref ref-type="aff" rid="aff1"/>
    <xref ref-type="corresp" rid="cor1"/>
  </contrib>
  <contrib contrib-type="author" seq="2">
    <name>
      <surname>Malik</surname>
      <given-names>Muhammad Faizan</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
    <xref ref-type="aff" rid="aff2"/>
  </contrib>
  <contrib contrib-type="author" seq="3">
    <name>
      <surname>Ilyas</surname>
      <given-names>Muhammad</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
    <xref ref-type="aff" rid="aff3"/>
  </contrib>
  <aff id="aff1">
    <label>1</label>
    <institution-wrap>
      <institution>Institute of Business Studies and Leadership, Abdul Wali Khan University, Mardan, Mardan</institution>
    </institution-wrap>
    <named-content content-type="author-role">Research Scholar</named-content>
    <addr-line>KP</addr-line>
    <country>Pakistan</country>
  </aff>
  <aff id="aff2">
    <label>2</label>
    <institution-wrap>
      <institution>Department of Management Sciences, Abdul Wali Khan University Mardan, Mardan</institution>
    </institution-wrap>
    <named-content content-type="author-role">Assistant Professor</named-content>
    <addr-line>KP</addr-line>
    <country>Pakistan</country>
  </aff>
  <aff id="aff3">
    <label>3</label>
    <institution-wrap>
      <institution>Institute of Business Studies and Leadership, Abdul Wali Khan University, Mardan, Mardan</institution>
    </institution-wrap>
    <named-content content-type="author-role">Lecturer</named-content>
    <addr-line>KP</addr-line>
    <country>Pakistan</country>
  </aff>
</contrib-group>
<author-notes>
  <corresp id="cor1">Corresponding Author: Junaid Khan, Research Scholar, Institute of Business Studies and Leadership, Abdul Wali Khan University, Mardan, Mardan, KP, Pakistan.. Contact: faizanmalik@awkum.ed</corresp>
<fn fn-type="COI-statement" id="fn-coi">
  <p>The authors declare that they have no conflicts of interest.</p>
</fn>
<fn fn-type="ethics-statement" id="fn-ethics">
  <p>This study did not require formal ethics approval.</p>
</fn>
<fn fn-type="data-availability-statement" id="fn-data">
  <p>Data sharing is not applicable to this article.</p>
</fn>
</author-notes>
<pub-date pub-type="epub" date-type="pub" publication-format="electronic">
  <day>30</day>
  <month>06</month>
  <year>2018</year>
</pub-date>
<pub-date pub-type="collection">
  <month>06</month>
  <year>2018</year>
</pub-date>
<pub-date date-type="pub" publication-format="print">
  <day>16</day>
  <month>02</month>
  <year>2022</year>
</pub-date>
  <volume>3</volume>
  <issue>1</issue>
  <season>Spring</season>
  <fpage>81</fpage>
  <lpage>89</lpage>
  <history>
    <date date-type="received">
      <day>30</day>
      <month>06</month>
      <year>2018</year>
    </date>
    <date date-type="accepted">
      <day>16</day>
      <month>02</month>
      <year>2022</year>
    </date>
  </history>
<funding-group>
  <funding-statement>
<p>The authors received no specific funding for this work.</p>
  </funding-statement>
</funding-group>
<permissions>
  <copyright-year>2018</copyright-year>
  <copyright-holder>Humanity Publications</copyright-holder>
  <license license-type="open-access" xml:lang="en" xlink:href="https://creativecommons.org/licenses/by/4.0/">
    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
  </license>
</permissions>
<self-uri content-type="text/html" xlink:href="https://gerjournal.com/article/Banking-Sector-Performance-and-Political-Stabilitys-Impact-on-Economic-Growth-in-Pakistan"/>
<self-uri content-type="pdf" xlink:href="https://gerjournal.com/pdf/ger/46fCPCKAUI.pdf"/>
<supplementary-material id="suppl-pdf" content-type="pdf" xlink:href="https://gerjournal.com/pdf/ger/46fCPCKAUI.pdf">
  <label>PDF</label>
  <caption>
    <title>Full Text PDF</title>
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</supplementary-material>
  <abstract>
    <p>This paper empirically finds the link between the banking sector performance and political stability on Economic growth. Panel data was used encompassing the time frame from 2006 to 2016 for banks operating in Pakistan. This paper main purpose at discovering that the banking sector performance, political stability, and other bank-specific factors have a vital impact on enhancing the procedure of economic growth in Pakistan. “Predictable outcomes suggest that economic growth in Pakistan is in long-term stability relationship; banking sector and political stability have long-term significant impact on economic growth and subsequently, economic growth converge to their longterm stability levels by the means created by Investment. This supports the reality that political certainty or stability is capable of stimulating a country’s development process”. Therefore, revealed significant relationship between banking sector performance and political stability of Pakistan on economic growth.</p>
  </abstract>
<kwd-group kwd-group-type="author-keywords">
  <kwd>Economic growth</kwd>
  <kwd>political stability</kwd>
  <kwd>banking sector</kwd>
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</front>
<body>
<sec id="sec-1">
  <title>Introduction</title>
<p>The banking sector of the country influences the economy of the country and that is fair clear those countries that have an efficient and strong financial system the economy of the country always on boom position and the economic development is increasing with a high ratio (Kauffman et al., 1996). Central banks act as the regulatory authority in most countries. The central bank of the country modification of a controlling financial system. the financial zone has a dual effect they show central part in the economy to developing actions and second is they offer loan abilities to investor on minimum rate of interest which is set by the central bank.</p><p>In Pakistan, the main source of funds supply and financing to support the commercial investment and Islamic banking sector of the country. The banking sector of Pakistan has positive impact on economic growth. Some previous studies about the economic growth and Pakistan banking sector showing the negative picture also the reason are interest rate and the non-performing loan. The banking sector is more affected by the non-performing loans which are not recovered. These bad debts more influence bank lending activities and sufficient effectiveness. The new technological change has impact on the performance of the banking sector of Pakistan. According to Rehman (2011) identified in his research on financial improvements reflect in the type of inflation, saving and bank deposits. After this analysis the problem is incorrectly investigated with the performance standards of the banking sector specifically in investment profitability of the said sector.</p><p>However, the core factor has an impact on the performance of the banking sector i.e. political stability and economic growth. The political instability (PI) which have considerably high impact on economic growth. PI makes ambiguity in government strategies and also can disappoint current as well as new investment opportunities because of the instability every investor wants to invest their capital in some harmless environment where the investor has protection.</p><p><break/></p><p><bold>Statement of the Research Problem</bold></p><p>The banking sector and political stability are playing energetic role in the development of the economic. Political uncertainty and the economic crises directly affect the baking sector of the country and banking sector facing high crises and difficulties due to which the financial efficiency of the banking sector is highly affected. The banking system is junction and its future economic growth majority depends on political stability (Kauffman, 1996). Political stability is requirement for confirming growth in the banking sector any location. Pakistan&apos;s economy suffering from 1998 to still due to political uncertainty and challenges. Economic growth and political stability are solid connections with each other, on the other hand the PI link with decrease investment and the pace of the economic growth and deprived economic act may lead to government failure and political conflict.</p>
</sec>
<sec id="sec-2">
  <title>Research Objectives</title>
<p>The key objective of this study to investigate:</p><p>1.	The impact of banking sector performance and the role of political stability on economic growth of Pakistan.</p><p>2.	The performance of the banking sector, its importance, and political stability on economic development, socio-economic contribution of banking sector policy reforms in banking sector in line with economic growth.</p><p><break/></p><p><bold>Research Questions  </bold></p><p>The following research questions describe as follows.</p><p>1.	To find out the impact of political stability in economic growth?</p><p>2.	How can the role of the banking sector be measured in the economic growth of a country?</p><p><break/></p><p><bold>Significance of the Study</bold></p><p>The banking sector and political stability playing the role of backbone on economic growth. The banking sector has strong base the banking sector will be performing in more strong and effective ways. If the banking sector working with efficient way the economic condition will be growing the employment opportunity will be on a high number and the FDI will invest their money without any fear and hesitation.</p>
</sec>
<sec id="sec-3">
  <title>Literature Review</title>
<p>Kenway (2009) argued in his study about the banks&apos; globalization and its impact on the banking sector and economic growth of Egypt. The researcher to know about the impact of globalization he collects date from the central bank of Egypt during this analysis the secondary data were used. The main variable of this study is globalization after the analysis the result showing a positive impact on the economic growth and competence of the economy.</p><p>Levine and Zervos (2000) stated that they have many studies and research about the banking industry and the economic development. Due to facts, majority studies use the cross country data sets to know about the facts and the relation of banking sector and their contribution in economy throughout the world. They used variable of different factor which is playing a clear role in GDP growth after the analysis the result showing the indicator that the banking sector performance is base of political environment every country economy if a country have strong banking sector system their economic growth will be faster than other who have poor and lazy banking sector performance.</p><p>Lipstel (1960) stated in his study about the political stability and the economic growth. Political stability is play important part in the development of the economic situation of a country. The PI in a country cause of hamper economic growth. The author defines a stable country he says a country is is generous and reliable democracy or dictatorship for 25 years that country will be considered stable but the modern political and economic schools of thought have improved the ritual of the PI. The core idea is that the effectiveness of the country hangs on the reliability of strong political government. The author also investigates the connection among the PI and the economic growth in two prospective, first PI make hesitation and unpredictability which decrease investment and lending ratio which directly have negative impact of the economic development.</p><p>Alisena, Ozler and Swgel (1992) discuss in his study about the PI that which type of impact has on the economic growth. PI makes ambiguity in government strategies and also can disappoint current as well as new investment opportunity because of the instability every investor wants to invest their capital in some safe environment where the investor has a protection. Hann and Sierman (1996) also discussed the same point PI becomes the reason of the capital out flow and weak economic situation. The main point of this study explained the important relation between the PI and economic growth.</p><p>Ali, Hashmi and Hassan (2013) identify in his study and discussing both economic and political issues to expect the explanation of unstable economic development and the low ratio of investment in Pakistan. This research find and discuss the elements which effect the economic growth this factor also include non-economic elements like corruption, political stability, quick changes in Government, energy shortage, and the clashes between different political parties and departments has the main issue of the  low economic growth and lower level of the investment. These issues make insecurity and made the country unsafe. Due to this issues and the instability the local investor transfer their investment to other countries because of the stable environment of business and also get high return. This investment transfer has become the main reason of the low economic growth in Pakistan. ?</p>
</sec>
<fig id="fig-1"><alt-text>Figure 1</alt-text><caption><title>Figure 1</title></caption><graphic xlink:href="https://gerjournal.com/46fCPCKAUI/Figure 1.jpg"/></fig>
<sec id="sec-4">
  <title>Research Methodology Data</title>
<p>In this study we investigate how banking sector performance and political stability affect the economic development in Pakistan. The sample of data consider of 19 banks from the period of 2006 to 2016. The data collected from the banks yearly reports, state bank of Pakistan database and from World Bank data base. All those bank are not included in date which start or stopped there operation before and after 2006.</p><p><break/></p><p><bold>Methodology </bold></p><p>The leading aim of this study is to find the impact of banking sector performance and political stability on economic growth. According state bank of Pakistan they have 27 bank register we take date sample of 19 banks out of 27.</p><p><break/></p><p><bold>Population </bold></p><p>There are 27 commercial banks operating in Pakistan and listed at Pakistan stock exchange. We collect data from 19 banks from the year of 2006 to 2016.</p><p><break/></p><p><bold>Sample</bold></p><p>We select 19 banks because of their data availability and reliability listed on the Pakistan stock exchange. Data is collected from those banks which operating during 2006 to 2016.</p><p><break/></p><p><bold>Variables Used</bold></p><p>Based on the literature the mention variable was acknowledge as GDP proxies, the selected variables is define in given table 1.</p><p><break/></p><p><bold>Model</bold></p><p>In this research model banks internal factors are used as the determinants of Economic growth.</p><p>GDPit = ? + ?1 DEPit + ?2 INVit + ?3 ADVit + ?4 PRFit + ?5 INEit + ?6PSit+£</p><p>Where:</p><p>GDP is Gross domestic product		DEP is Deposits</p><p>INV is the level of Investments			ADV is the level of Advances</p><p>PRF shows Profitability 			INE is the Interest</p><p>PS is political stability</p>
</sec>
<sec id="sec-5">
  <title>Results and Data Analysis Descriptive Statistics Table 1.</title>
<table-wrap id="table1"><label>Table 1</label><caption><title>Table 1</title></caption><table><tbody><tr><td valign="bottom"> <p><bold>Variables</bold></p> </td><td valign="bottom"> <p><bold>Mean</bold></p> </td><td valign="bottom"> <p><bold>Std. Dev.</bold></p> </td><td valign="bottom"> <p><bold>Min</bold></p> </td><td valign="bottom"> <p><bold>Max</bold></p> </td></tr><tr><td valign="bottom"> <p>GDP</p> </td><td valign="bottom"> <p>3.872</p> </td><td valign="bottom"> <p>1.453</p> </td><td valign="bottom"> <p>1.6</p> </td><td valign="bottom"> <p>6.20</p> </td></tr><tr><td valign="bottom"> <p>DEP</p> </td><td valign="bottom"> <p>11.776</p> </td><td valign="bottom"> <p>1.687</p> </td><td valign="bottom"> <p>5.25</p> </td><td valign="bottom"> <p>15.031</p> </td></tr><tr><td valign="bottom"> <p>INV</p> </td><td valign="bottom"> <p>11.000</p> </td><td valign="bottom"> <p>1.656</p> </td><td valign="bottom"> <p>4.89</p> </td><td valign="bottom"> <p>14.136</p> </td></tr><tr><td valign="bottom"> <p>ADV</p> </td><td valign="bottom"> <p>11.238</p> </td><td valign="bottom"> <p>1.682</p> </td><td valign="bottom"> <p>2.45</p> </td><td valign="bottom"> <p>13.525</p> </td></tr><tr><td valign="bottom"> <p>PRF</p> </td><td valign="bottom"> <p>5.873</p> </td><td valign="bottom"> <p>4.932</p> </td><td valign="bottom"> <p>-9.8</p> </td><td valign="bottom"> <p>11.269</p> </td></tr><tr><td valign="bottom"> <p>INE</p> </td><td valign="bottom"> <p>8.576</p> </td><td valign="bottom"> <p>2.324</p> </td><td valign="bottom"> <p>-2.6</p> </td><td valign="bottom"> <p>11.429</p> </td></tr><tr><td valign="bottom"> <p>PS</p> </td><td valign="bottom"> <p>-2.526</p> </td><td valign="bottom"> <p>.182</p> </td><td valign="bottom"> <p>-2.81</p> </td><td valign="bottom"> <p>-2.025</p> </td></tr><tr><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td></tr></tbody></table></table-wrap><p>The following table shows that the descriptive
statistics test uses to measure both dependent and independent variables. GDP
shows the lowest value is 1.6 and the highest is 6.2, so the Std. Dev is 1.45.
Deposit lowest value is 5.25 while heights is 15.031 and the std. Dev is 1.68
and mean is 11.77. Investment lowest value is 4.89 while heights are 14.13 and
Std. Dev is 1.65 while mean for Investment is 11.00. An advance lowest value is
2.458 while highest value is 13.5257 while Std. Dev is 1.68 that is high while
mean is 11.238. Profitability lowest value is -9.98 while highest value is
11.269, so Std. Dev is high that is 4.932 and mean is 5.81. Interest lowest
value is 2.6 while highest value is 11.429, so the standard deviation is 2.32.
The mean of Interest is 8.57. The political stability lowest value is -2.81
while highest value is -2.02, so the standard deviation .182.The mean for
Political stability is -2.52.</p>
</sec>
<sec id="sec-6">
  <title>Correlation Matrix Table 2.</title>
<table-wrap id="table2"><label>Table 2</label><caption><title>Table 2</title></caption><table><tbody><tr><td valign="bottom"> <p><bold>Variables</bold></p> </td><td valign="bottom"> <p><bold>GDP</bold></p> </td><td valign="bottom"> <p><bold>PS</bold></p> </td><td valign="bottom"> <p><bold>INV</bold></p> </td><td valign="bottom"> <p><bold>PRFT</bold></p> </td><td valign="bottom"> <p><bold>INT</bold></p> </td><td valign="bottom"> <p><bold>     ADV</bold></p> </td><td valign="bottom"> <p><bold>      DEP</bold></p> </td></tr><tr><td valign="bottom"> <p>GDP</p> </td><td valign="bottom"> <p>1.000</p> </td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td></tr><tr><td valign="bottom"> <p>PS</p> </td><td valign="bottom"> <p>0.764</p> </td><td valign="bottom"> <p>1.000</p> </td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td></tr><tr><td valign="bottom"> <p>Investment</p> </td><td valign="bottom"> <p>0.028</p> </td><td valign="bottom"> <p>-0.240</p> </td><td valign="bottom"> <p>1.000</p> </td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td></tr><tr><td valign="bottom"> <p>Profitability</p> </td><td valign="bottom"> <p>0.167</p> </td><td valign="bottom"> <p>0.063</p> </td><td valign="bottom"> <p>0.562</p> </td><td valign="bottom"> <p>1.000</p> </td><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td></tr><tr><td valign="bottom"> <p>Interest</p> </td><td valign="bottom"> <p>0.109</p> </td><td valign="bottom"> <p>-0.058</p> </td><td valign="bottom"> <p>0.611</p> </td><td valign="bottom"> <p>0.660</p> </td><td valign="bottom"> <p>1.000</p> </td><td valign="bottom"></td><td valign="bottom"></td></tr><tr><td valign="bottom"> <p>Advances</p> </td><td valign="bottom"> <p>-0.007</p> </td><td valign="bottom"> <p>-0.115</p> </td><td valign="bottom"> <p>0.716</p> </td><td valign="bottom"> <p>0.537</p> </td><td valign="bottom"> <p>0.598</p> </td><td valign="bottom"> <p>1.000</p> </td><td valign="bottom"></td></tr><tr><td valign="bottom"> <p>Deposit</p> </td><td valign="bottom"> <p>0.031</p> </td><td valign="bottom"> <p>-0.125</p> </td><td valign="bottom"> <p>0.721</p> </td><td valign="bottom"> <p>0.551</p> </td><td valign="bottom"> <p>0.654</p> </td><td valign="bottom"> <p>0.700</p> </td><td valign="bottom"> <p>1.000</p> </td></tr></tbody></table></table-wrap><p>The table (on previous page) indicate both the
independent and dependent variables and their connection with each other. As no
two independent variables are above .80 level so we may have low
multicollinearity issue (Gujarati, 2003)</p>
</sec>
<sec id="sec-7">
  <title>Heteroscedasticity Statistics Results of the test</title>
<table-wrap id="table3"><label>Table 3</label><caption><title>Table 3</title></caption><table><tbody><tr><td colspan="3" valign="bottom"> <p><bold>Results of the test</bold></p> </td></tr><tr><td valign="bottom"> <p>chi2(1)</p> </td><td valign="bottom"> <p>=</p> </td><td valign="bottom"> <p>9.50</p> </td></tr><tr><td valign="bottom"> <p>Prob  &gt; chi2</p> </td><td valign="bottom"> <p>=</p> </td><td valign="bottom"> <p>0.081</p> </td></tr></tbody></table></table-wrap><p>The aim of the above analysis is to find the
homogeneity in the data and we do not have any heterogeneity issue. The above
results show that there is no issue of heteroskedasticity in our collected data
as the result of 0.81 is clearly above the t level of significance that is
possibility of 0.05.</p>
</sec>
<sec id="sec-8">
  <title>Multicollinearity Statistics Table 4.</title>
<table-wrap id="table4"><label>Table 4</label><caption><title>Table 4</title></caption><table><tbody><tr><td valign="bottom"> <p><bold>Variables</bold></p> </td><td valign="bottom"> <p><bold>VIP</bold></p> </td><td valign="bottom"> <p><bold>1/VIF</bold></p> </td></tr><tr><td valign="bottom"> <p>Investment</p> </td><td valign="bottom"> <p>2.89</p> </td><td valign="bottom"> <p>0.345</p> </td></tr><tr><td valign="bottom"> <p>Deposit</p> </td><td valign="bottom"> <p>2.71</p> </td><td valign="bottom"> <p>0.368</p> </td></tr><tr><td valign="bottom"> <p>Advances</p> </td><td valign="bottom"> <p>2.49</p> </td><td valign="bottom"> <p>0.401</p> </td></tr><tr><td valign="bottom"> <p>Interest</p> </td><td valign="bottom"> <p>2.34</p> </td><td valign="bottom"> <p>0.426</p> </td></tr><tr><td valign="bottom"> <p>Profitability</p> </td><td valign="bottom"> <p>2.03</p> </td><td valign="bottom"> <p>0.492</p> </td></tr><tr><td valign="bottom"> <p>Political stability</p> </td><td valign="bottom"> <p>1.13</p> </td><td valign="bottom"> <p>0.883</p> </td></tr><tr><td valign="bottom"></td><td valign="bottom"></td><td valign="bottom"></td></tr></tbody></table></table-wrap><p>The above table
shows that we have no issues of multicollinearity because all variables VIF
values are less than 10 (Gujarati, 2003).</p><p><bold>Regression
Results</bold></p><p>The regression results are given below.</p>
</sec>
<sec id="sec-9">
  <title>Fixed Effect Panel Least Square Table 5. Fixed Effect Results</title>
<table-wrap id="table5"><label>Table 5</label><caption><title>Table 5</title></caption><table><tbody><tr><td> <p><bold>Variables</bold></p> </td><td> <p><bold>Coefficients</bold></p> </td><td> <p><bold>St. errors</bold></p> </td><td> <p><bold>t-values</bold></p> </td><td> <p><bold>P-Value</bold></p> </td></tr><tr><td valign="bottom"> <p>Political  Stability</p> </td><td valign="bottom"> <p>6.524</p> </td><td valign="bottom"> <p>.318</p> </td><td valign="bottom"> <p>20.50</p> </td><td valign="bottom"> <p>0.000</p> </td></tr><tr><td valign="bottom"> <p>Investment</p> </td><td valign="bottom"> <p>.390</p> </td><td valign="bottom"> <p>.066</p> </td><td valign="bottom"> <p>5.90</p> </td><td valign="bottom"> <p>0.000</p> </td></tr><tr><td valign="bottom"> <p>Profitability</p> </td><td valign="bottom"> <p>.013</p> </td><td valign="bottom"> <p>.019</p> </td><td valign="bottom"> <p>0.72</p> </td><td valign="bottom"> <p>0.472</p> </td></tr><tr><td valign="bottom"> <p>Interest</p> </td><td valign="bottom"> <p>.074</p> </td><td valign="bottom"> <p>.048</p> </td><td valign="bottom"> <p>1.54</p> </td><td valign="bottom"> <p>0.065</p> </td></tr><tr><td valign="bottom"> <p>Advances</p> </td><td valign="bottom"> <p>.020</p> </td><td valign="bottom"> <p>.069</p> </td><td valign="bottom"> <p>0.29</p> </td><td valign="bottom"> <p>0.769</p> </td></tr><tr><td valign="bottom"> <p>Deposit</p> </td><td valign="bottom"> <p>.069</p> </td><td valign="bottom"> <p>.059</p> </td><td valign="bottom"> <p>1.15</p> </td><td valign="bottom"> <p>0.251</p> </td></tr><tr><td valign="bottom"> <p>Cons</p> </td><td valign="bottom"> <p>14.300</p> </td><td valign="bottom"> <p>.973</p> </td><td valign="bottom"> <p>14.68</p> </td><td valign="bottom"> <p>0.000</p> </td></tr><tr><td colspan="5" valign="bottom"> <p>R. square 0.6877</p> </td></tr></tbody></table></table-wrap><p>Table 5 shows that GDP as a proxy for economic growth
is regressed with the independent variables like PS, INV, PRFT, INT, ADV, and
DEP of commercial banks. PS has positively related to GDP but this association
is statistically insignificant. Similarly, Ari and Aisen (2011) find that
relationships among political stability such as positive impact on economic
growth. Hence, countries having stable political environment then investment
opportunities and development also increasing and the foreign direct investment
ration will be increasing.</p><p>INV has a positive relationship with GDP, it is
insignificant at 5% level but significant at the 10% level. Aurangzeb (2012)
fined in his study the link between the investment and the GDP he finds that
investors have a positive &amp; significant impact on GDP. PRFT is positively
and significantly related to GDP. Interest and Investment are positively and
significantly associated with GDP. ADV shows an insignificant relation at 5%
level but significant at level 10%.</p><p>Aurangzeb (2012) found in his study relation
between GDP and Deposit, Advances, Profitability and interest have a positive
and significant relationship. It means that the following variables have
positive impact on economic development. Ahmad, Hamza (2014) also find the
impact of interest, advances, and profitability have positive and significant
relation with GDP</p>
</sec>
<sec id="sec-10">
  <title>Random Effect Panel Least Square Table 6</title>
<table-wrap id="table6"><label>Table 6</label><caption><title>Table 6</title></caption><table><tbody><tr><td valign="bottom"> <p><bold>Variables  </bold></p> </td><td valign="bottom"> <p><bold>Coefficients</bold></p> </td><td valign="bottom"> <p><bold>St. errors</bold></p> </td><td valign="bottom"> <p><bold>t-value</bold></p> </td><td valign="bottom"> <p><bold>p-value</bold></p> </td></tr><tr><td valign="bottom"> <p>Political 
  stability</p> </td><td valign="bottom"> <p>6.068</p> </td><td valign="bottom"> <p>.326</p> </td><td valign="bottom"> <p>18.60</p> </td><td valign="bottom"> <p>0.000</p> </td></tr><tr><td valign="bottom"> <p>Investment</p> </td><td valign="bottom"> <p>.285</p> </td><td valign="bottom"> <p>.062</p> </td><td valign="bottom"> <p>4.58</p> </td><td valign="bottom"> <p>0.000</p> </td></tr><tr><td valign="bottom"> <p>Profitability</p> </td><td valign="bottom"> <p>-.006</p> </td><td valign="bottom"> <p>.017</p> </td><td valign="bottom"> <p>-0.35</p> </td><td valign="bottom"> <p>0.723</p> </td></tr><tr><td valign="bottom"> <p>Interest</p> </td><td valign="bottom"> <p>.0588</p> </td><td valign="bottom"> <p>.039</p> </td><td valign="bottom"> <p>1.47</p> </td><td valign="bottom"> <p>0.063</p> </td></tr><tr><td valign="bottom"> <p>Advances</p> </td><td valign="bottom"> <p>-.014</p> </td><td valign="bottom"> <p>.569</p> </td><td valign="bottom"> <p>-0.54</p> </td><td valign="bottom"> <p>0.011</p> </td></tr><tr><td valign="bottom"> <p>Deposit</p> </td><td valign="bottom"> <p>-.028</p> </td><td valign="bottom"> <p>.059</p> </td><td valign="bottom"> <p>-0.48</p> </td><td valign="bottom"> <p>0.631</p> </td></tr><tr><td valign="bottom"> <p>Cons</p> </td><td valign="bottom"> <p>17.55639</p> </td><td valign="bottom"> <p>.8632868</p> </td><td valign="bottom"> <p>20.34</p> </td><td valign="bottom"> <p>0.000</p> </td></tr><tr><td colspan="5" valign="bottom"> <p>R. Square 0.647</p> </td></tr></tbody></table></table-wrap><p>Table 6 shows the
impact of independent variables like PS, INV, PRFT, INT, ADV, and DEP on GDP
using the Random Effect Model. PS and INV are positively and significantly
related to GDP, however, PRFT negatively and significantly associated with GDP.
INT and ADV show insignificant relationship with GDP. Moreover, DEP has
negative and significant relation with GDP. Ahmad &amp; Hamza (2014) also find
during their research analysis that deposit has negative relation with GDP.</p>
</sec>
<sec id="sec-11">
  <title>Hausman Test Table 7. Hausman Results</title>
<table-wrap id="table7"><label>Table 7</label><caption><title>Table 7</title></caption><table><tbody><tr><td valign="top">  </td><td colspan="2" valign="bottom"> <p><bold>                  Coefficient</bold></p> </td><td valign="bottom">  </td><td valign="bottom">  </td></tr><tr><td valign="top"> <p><bold>Variables </bold></p> </td><td valign="bottom"> <p><bold>Fixed</bold></p> </td><td valign="bottom"> <p><bold>Random</bold></p> </td><td valign="bottom"> <p><bold>Difference</bold></p> </td><td valign="bottom"> <p><bold>S.E</bold></p> </td></tr><tr><td valign="bottom"> <p>Political  Stability</p> </td><td valign="bottom"> <p>6.524</p> </td><td valign="bottom"> <p>6.068</p> </td><td valign="bottom"> <p>.465</p> </td><td valign="bottom"></td></tr><tr><td valign="bottom"> <p>Investment</p> </td><td valign="bottom"> <p>.390</p> </td><td valign="bottom"> <p>.285</p> </td><td valign="bottom"> <p>.104</p> </td><td valign="bottom"> <p>.021</p> </td></tr><tr><td valign="bottom"> <p>Profitability</p> </td><td valign="bottom"> <p>.0139</p> </td><td valign="bottom"> <p>-.006</p> </td><td valign="bottom"> <p>.020</p> </td><td valign="bottom"> <p>.008</p> </td></tr><tr><td valign="bottom"> <p>Interest</p> </td><td valign="bottom"> <p>.0745</p> </td><td valign="bottom"> <p>.058</p> </td><td valign="bottom"> <p>0.157</p> </td><td valign="bottom"> <p>.027</p> </td></tr><tr><td valign="bottom"> <p>Advances</p> </td><td valign="bottom"> <p>.0203</p> </td><td valign="bottom"> <p>-.144</p> </td><td valign="bottom"> <p>.164</p> </td><td valign="bottom"> <p>.039</p> </td></tr><tr><td valign="bottom"> <p>Deposit</p> </td><td valign="bottom"> <p>.069</p> </td><td valign="bottom"> <p>-.028</p> </td><td valign="bottom"> <p>.975</p> </td><td valign="bottom"> <p>.009</p> </td></tr></tbody></table></table-wrap><p>chi2 =50.09</p><p>Prob&gt;chi2 =      0.0000</p><p>Hausman test is used to find the best suitable model for this analysis.
Based on the Hausman test result Random effect model is select as a suitable
model for this research.</p>
</sec>
<sec id="sec-12">
  <title>Conclusion</title>
<p>This research identified a relationship between banking sector performance and political stability on economic growth in Pakistan. Using traditional OLS and techniques, it was shown that ?nancial development has a direct and strong impact on the growth rate of real GDP. However, all research studies of Pakistan commercial banks&apos; studies in this literature, the ?ndings suggest that banking sector performance and political stability have positive relationship to economic growth. Although this conclusion may be puzzling upon ?rst glance, it does ?t rather well with the state of the Pakistan economy and banking sector during the year of 2006 to 2016.</p><p>During this duration, Pakistani banking sector is not able to mobilize and merging the domestic saving for the purpose to invest in some profitable project because of the PI. Aurangzeb (2012) find in his study relation between GDP and Deposit, Advances, Profitability, and interest have a positive and significant relationship. It means that the following variables have positive impact on economic development.</p><p>PI has an indirect relation to economic development. The outcomes additionally recommend that, counter to hypothesis if political toughness increments by one unit, government spending will increment. Anyway take note of that this negative impact that political strength has over government spending rates is more than made up for by the constructive outcome this variable has on risk rates.</p>
</sec>
</body>
<back>
<fn-group content-type="conflict-of-interest">
  <title>Conflict of Interest</title>
  <fn fn-type="conflict">
<p>The authors declare that they have no conflicts of interest.</p>
  </fn>
</fn-group>
<fn-group content-type="ethics-statement">
  <title>Ethics Statement</title>
  <fn fn-type="ethics">
<p>This study did not require formal ethics approval.</p>
  </fn>
</fn-group>
<fn-group content-type="data-availability">
  <title>Data Availability</title>
  <fn fn-type="data-availability-statement">
<p>Data sharing is not applicable to this article.</p>
  </fn>
</fn-group>
<app-group>
  <app id="app-suppl">
    <title>Supplementary Materials</title>
<supplementary-material id="suppl-pdf" content-type="pdf" xlink:href="https://gerjournal.com/pdf/ger/46fCPCKAUI.pdf">
  <label>PDF</label>
  <caption>
    <title>Full Text PDF</title>
  </caption>
</supplementary-material>
  </app>
</app-group>
<ref-list>
  <title>References</title>
<ref id="Ahmad">
  <label>1</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Ahmad, N., &amp; Haron, S</person-group>
    <year>2002</year>
    <article-title>. Perceptions of Malaysian corporate customers towards Islamic banking products and services</article-title>
    <source>International Journal of Islamic Financial Services</source>
    <volume>3</volume>
    <issue>4</issue>
    <fpage>13</fpage>
    <lpage>29</lpage>
    Ahmad, N., &amp; Haron, S. (2002). Perceptions of Malaysian corporate customers towards Islamic banking products and services. International Journal of Islamic Financial Services, 3(4), 13-29
  </mixed-citation>
</ref>
<ref id="Aisen">
  <label>2</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Aisen, M. A., &amp; Veiga, M. F. J</person-group>
    <year>2011</year>
    <article-title>. How does political instability affect economic growth? (No</article-title>
    <source>11-12). International Monetary Fund</source>
    <page-range>olitical</page-range>
    Aisen, M. A., &amp; Veiga, M. F. J. (2011). How does political instability affect economic growth? (No. 11-12). International Monetary Fund.
  </mixed-citation>
</ref>
<ref id="Alesina">
  <label>3</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Alesina, A., &amp; Perotti, R</person-group>
    <year>1996</year>
    <article-title>. Income distribution, political instability, and investment</article-title>
    <source>European economic review</source>
    <volume>40</volume>
    <issue>6</issue>
    <fpage>1203</fpage>
    <lpage>1228</lpage>
    Alesina, A., &amp; Perotti, R. (1996). Income distribution, political instability, and investment. European economic review, 40(6), 1203-1228.
  </mixed-citation>
</ref>
<ref id="Ali">
  <label>5</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Ali, S. H., Hashmi, S. H., &amp; Hassan, A</person-group>
    <year>2013</year>
    <article-title>. Relationship between political instability and domestic private investment in Pakistan: A time series analysis</article-title>
    <source>Pakistan Business Review</source>
    <volume>15</volume>
    <issue>1</issue>
    <fpage>1</fpage>
    <lpage>26</lpage>
    Ali, S. H., Hashmi, S. H., &amp; Hassan, A. (2013). Relationship between political instability and domestic private investment in Pakistan: A time series analysis. Pakistan Business Review, 15(1), 1-26
  </mixed-citation>
</ref>
<ref id="Aurangzeb">
  <label>6</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Aurangzeb, Z., &amp; Stengos, T</person-group>
    <year>2012</year>
    <article-title>. Economic policies and the impact of natural disasters on economic growth: a threshold regression approach</article-title>
    <source>Economics Bulletin</source>
    <volume>32</volume>
    <issue>1</issue>
    <fpage>229</fpage>
    <lpage>241</lpage>
    Aurangzeb, Z., &amp; Stengos, T. (2012). Economic policies and the impact of natural disasters on economic growth: a threshold regression approach. Economics Bulletin, 32(1), 229-241.
  </mixed-citation>
</ref>
<ref id="Fox">
  <label>7</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Fox, J</person-group>
    <year>1997</year>
    <article-title>. Applied regression analysis, linear models, and related methods</article-title>
    <source>Sage Publications, Inc</source>
    <page-range>ublications</page-range>
    Fox, J. (1997). Applied regression analysis, linear models, and related methods. Sage Publications, Inc.
  </mixed-citation>
</ref>
<ref id="Gujarati">
  <label>8</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Gujarati, D. N</person-group>
    <year>2003</year>
    <article-title>. Basic Econometrics, McGraw-Hill</article-title>
    <source>New York</source>
    Gujarati, D. N. (2003). Basic Econometrics, McGraw-Hill. New York
  </mixed-citation>
</ref>
<ref id="JongAPin">
  <label>9</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Jong-A-Pin, R</person-group>
    <year>2009</year>
    <article-title>. On the measurement of political instability and its impact on economic growth</article-title>
    <source>European Journal of Political Economy</source>
    <volume>25</volume>
    <issue>1</issue>
    <fpage>15</fpage>
    <lpage>29</lpage>
    Jong-A-Pin, R. (2009). On the measurement of political instability and its impact on economic growth. European Journal of Political Economy, 25(1), 15-29.
  </mixed-citation>
</ref>
<ref id="Kauffman">
  <label>10</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Kauffman, D., Kraay, A., &amp; Mastruzzi, M</person-group>
    <year>2009</year>
    <article-title>. Governance Matters VIII: Aggregate and Individual Governance Indicators, 1996-2008</article-title>
    <source>World Bank Policy Research Working Paper, 4978</source>
    <page-range>olicy</page-range>
    Kauffman, D., Kraay, A., &amp; Mastruzzi, M. (2009). Governance Matters VIII: Aggregate and Individual Governance Indicators, 1996-2008. World Bank Policy Research Working Paper, 4978.
  </mixed-citation>
</ref>
<ref id="Kenawy">
  <label>11</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Kenawy, E. M</person-group>
    <year>2009</year>
    <article-title>. Globalization and its Effects on the Banking System performance in Egypt</article-title>
    <source>Ozean Journal of Applied Science</source>
    <page-range>erformance</page-range>
    Kenawy, E. M. (2009). Globalization and its Effects on the Banking System performance in Egypt. Ozean Journal of Applied Science, 2(1).
  </mixed-citation>
</ref>
<ref id="Kenway">
  <label>12</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Kenway, J., &amp; Fahey, J</person-group>
    <year>2009</year>
    <article-title>. Globalizing the research imagination</article-title>
    <source>Routledge</source>
    Kenway, J., &amp; Fahey, J. (2009). Globalizing the research imagination. Routledge.
  </mixed-citation>
</ref>
<ref id="Levine">
  <label>13</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Levine, R., Loayza, N., &amp; Beck, T</person-group>
    <year>2000</year>
    <article-title>. Financial intermediation and growth: Causality and causes</article-title>
    <source>Journal of Monetary Economics</source>
    <volume>46</volume>
    <issue>1</issue>
    <fpage>31</fpage>
    <lpage>77</lpage>
    Levine, R., Loayza, N., &amp; Beck, T. (2000). Financial intermediation and growth: Causality and causes. Journal of Monetary Economics, 46(1), 31-77.
  </mixed-citation>
</ref>
<ref id="Lipset">
  <label>14</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Lipset, S. M</person-group>
    <year>1960</year>
    <article-title>. Political Man</article-title>
    <source>William Heinemann Limited, London</source>
    <page-range>olitical</page-range>
    Lipset, S. M. (1960). Political Man. William Heinemann Limited, London
  </mixed-citation>
</ref>
<ref id="OBrien">
  <label>15</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">O&apos;Brien, R. M</person-group>
    <year>2007</year>
    <article-title>. A caution regarding rules of thumb for variance inflation factors</article-title>
    <source>Quality &amp; quantity</source>
    <volume>41</volume>
    <issue>5</issue>
    <fpage>673</fpage>
    <lpage>690</lpage>
    O&apos;Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality &amp; quantity, 41(5), 673-690
  </mixed-citation>
</ref>
<ref id="Rahman">
  <label>16</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Rahman, S., &amp; Serletis, A</person-group>
    <year>2009</year>
    <article-title>. The effects of inflation uncertainty: some international evidence</article-title>
    <source>Journal of Economic Studies</source>
    <volume>36</volume>
    <issue>5</issue>
    <fpage>541</fpage>
    <lpage>550</lpage>
    Rahman, S., &amp; Serletis, A. (2009). The effects of inflation uncertainty: some international evidence. Journal of Economic Studies, 36(5), 541-550.
  </mixed-citation>
</ref>
<ref id="Tabassam">
  <label>17</label>
  <mixed-citation publication-type="journal">
    <person-group person-group-type="author">Tabassam, A. H., Hashmi, S. H., &amp; Rehman, F. U</person-group>
    <year>2016</year>
    <article-title>. Nexus between political instability and economic growth in Pakistan</article-title>
    <source>Procedia-Social and Behavioral Sciences</source>
    <volume>230</volume>
    <fpage>325</fpage>
    <lpage>334</lpage>
    Tabassam, A. H., Hashmi, S. H., &amp; Rehman, F. U. (2016). Nexus between political instability and economic growth in Pakistan. Procedia-Social and Behavioral Sciences, 230, 325-334.
  </mixed-citation>
</ref>
</ref-list>
</back>
</article>