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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijbf</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Banking and Finance</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJBF</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2811-3799</issn>
      <issn pub-type="epub">2590-423X</issn>
      <publisher><publisher-name>UUM PRESS</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.32890/ijbf2020.15.1.9932</article-id>
      <article-id pub-id-type="publisher-id">8250</article-id>
      <article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group></article-categories>
      <title-group>
        <article-title>Comparison of the Pass-Through Speed Models of Different Markets: An Empirical Study of the Markets of Mainland China and Taiwan</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Ho</surname>
            <given-names>Chi Ming</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>z0q@stust.edu.tw</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lin</surname>
            <given-names>Wu Yih</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>
      <aff id="aff1"><institution>Department of Finance, Southern Taiwan University of Science and Technology</institution>, <country country="TW">Taiwan, Province of China</country></aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2020-03-31">
        <day>31</day><month>03</month><year>2020</year>
      </pub-date>
      <volume>15</volume>
      <issue>1</issue>
      <fpage>73</fpage>
      <lpage>88</lpage>
      <permissions>
        <copyright-statement>Copyright &#169; 2020 UUM PRESS</copyright-statement>
        <copyright-year>2020</copyright-year>
        <license license-type="open-access" 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>
      <kwd-group kwd-group-type="author">
        <kwd>Bank competition</kwd>
        <kwd>Boone Indicator</kwd>
        <kwd>spread</kwd>
        <kwd>pass-through speed Model</kwd>
        <kwd>Error Correction Model</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>Introduction</title>
      <p>While many channels of monetary policies can shift policy effects to the economic system, the speed of the pass-through method plays the most vital role. The liberalization of the interest rate market will have a huge impact on the supervisory structure of commercial banks and social financing cost. Some evidence (Van Leuvensteijn, Bikker, Van Rixtel, &amp; Sorensen, 2011; Van Leuvensteijn, Sorensen, Bikker, &amp; Van Rixtel, 2013) suggests that, the costs of financial intermediaries are extremely high (Klein, 1971; Monti, 1972). As the banking system does not have strong competitiveness, all such factors weaken the monetary pass-through method. In fact, competition is the key to the success of monetary policies. In a competitive market, the changes in policy-related interest rates can be quickly transferred to the banking system, such as the provision of new interest rates to customers or interactive changes in the interest rates of banks and markets. The implementation of monetary policies requires a stable market pass-through speed mechanism to achieve the goal of economic stability of a government. Pass-through speed refers to the process of a government to adjust policy-based interest rates to change the interest rates of the monetary market. Banks transfer the cost of such changes to their retail interest rates. Most financial markets have forward-looking expectations, and even if the policyrelated interest rates of the government have not been changed, the retail interest rates of banks may have already reflected such changes. Van Leuvensteijn et al. (2013) asserted that, despite new financial reforms conducted by emerging countries, competition in the banking industry have declined over the past decade. As stipulated by the interest rate system, traditional indicators fail to correctly assess competition in the banking market.</p>
      <p>Study of the Markets of Mainland China and Taiwan: 73-88</p>
      <p>Comparatively speaking, if the Boone Indicator Model was used to assess the banking business of mainland China, it would indicate that competition had increased (Van Leuvensteijn et al., 2013). This paper explores the influence of the loan interest rates of banks on the competition of the loan market, and utilizes the pass-through mechanism, through which bank competition drives monetary policies. The model of Van Leuvensteijn et al. (2013), and the Error Correction Model (ECM) are applied to investigate the changes in interest rates of the two emerging economies of mainland China and Taiwan. Both China and Taiwan markets are regional financial centers in Asia, but there are still many comparable differences between the two in terms of financial supervision and economic policy. The Chinese market adopts a fixed exchange rate system. As it is a planned economy, policies on domestic economic stabilization are prioritized. As a result, capital transfer is slow and regulated and interest rate market is subject to limited uncertainties. However, the Taiwan market adopts a floating exchange rate. Therefore, fiscal and monetary policies would change rapidly according to international situations. As a result, capital transfer is fast. However, there are gaps in policy implementation, along with increase in uncertainties. Under the existing operations of two such emerging markets, how would the ultimate interest rate transmission change national income? There is no discussion on such a topic in the previous literature. In particular, the economic growth of China is critical to the prosperity of the global stock market, and therefore, it is a topic worth comparison and analysis. This model not only provides a consistent framework to compare the conclusions of the EU market, it also observes that, due to competition, market interest rates and bank interest rates are reflected in the monetary policies of central banks.</p>
    </sec>
    <sec id="sec2">
      <title>Literature Review</title>
      <p>The earliest literature on bank competition is from the 1970s. The Monti-Klein Model of Klein (1971) and Monti (1972) assumed that the loan interest rates of banks had a certain degree of pricing power; lower demand elasticity led to higher intermediary profits (lower deposit interest rates led to higher loan interest rates) and weaker price competitiveness. Maudos and Fernandez de Guevara (2004) believed that the growth in the power of the banking market (i.e. the decrease in competitive pressure) resulted in the increase in net interest margins. In addition, Corvoisier and Gropp (2002) identified the difference between the retail interest rates of banks and interest rates of the monetary market. The retail loan interest rates of specific bank products rose sharply in concentrated markets. Leuvensteijn et al. (2013) analyzed the impact of loan interest rates of eight state-owned banks in the Eurozone on the competition of the loan market from 1994 to 2004. They employed their innovative approach, meaning the Boone Indicator, to assess the extent of the competition. Their empirical findings showed that, a competitive market hid significantly low interest rates. Policy-related interest rates would change bank interest rates and formed pass-through speed. There were also findings in terms of the adjustment of loan interest rates via competition. Cottarelli and Kourelis (1994) and Borio and Fritz (1995) carried out cross-country analysis, and found that the monetary policy passthrough mechanism had significant effects in restraining competition. Thus, in an environment with weaker competition, banks often found loan interest rates fairly tricky, which was due to the barriers to entry. Mojon (2001) employed the index of deregulation, as established by Gual (1999), to test the influence of the competition of the banking industry on the pass-through of loan interest rates of banks in the Eurozone. Mojon found that, when the interest rates of the monetary market declined, higher competition tended to exert pressure on banks, in order to adjust loan interest rates faster. Scholnick (1996), Heinemann and Schu¨ler (2002), Sander and Kleimeier (2002), and Kuan-Min and Thanh-Binh Nguyen (2010) found similar asymmetric pass-through effect. Additionally, De Bondt (2005) argued that the strong competition of other banks and the capital market could facilitate banks in the Eurozone to accelerate the adjustment of interest rates. Many country-specific studies found the same results; when market competition was weak, the entry of market interest rates into the pass-through mechanism of banks would also turn weak (Heffernan,1997). De Graeve et al. (2007) estimated the decisive factors of the pass-through speed behavior of Belgian banks, and discovered that banks with stronger market power adopted less competitive pricing policies. Lago-Gonza´lez and Salas-Fuma´s (2005) conducted microeconomic analysis of Spanish banks, and their evidence suggested that the combination of the price cost adjustment market power of banks led to price rigidity and asymmetric pass-through. Bredin and O’Reilly (2004) also showed similar results. Kok Sørensen and Werner (2006) deemed that, pass-through and bank competition in different countries in the Eurozone were different. Moreover, Gropp, Kok Sørensen, and Lichtenberger (2007) focused on the Eurozone, and held that the effect of pass-through provided positive impact on the level of competition in the banking sector. Van Leuvensteijn et al. (2013) employed new competition indicators, which were unlike previous measurement methods (Boone, 2008; Bikker &amp; van Leuvensteijn, 2008; van Leuvensteijn et al., 2011). They argued that, in a highly competitive market, more efficient companies were likely to have greater market share. The basic idea of the Boone Indicator is market power hypothesis, that is, efficiency hypothesis. In a highly competitive market, more efficient companies are likely to have a greater market share. In other words, it assumes that market share, through marginal cost, determines if a bank is competitive in a competitive market. Therefore, this paper further examines how an efficient market changes over time, how the changes in competition affect the loan costs of families and enterprises, and how policy-related interest rates are</p>
      <p>Study of the Markets of Mainland China and Taiwan: 73-88 passed through to the loan interest rates of banks. This paper intends to prove the rates of ban how how policy-related policy-related interest interest rates rates are are passed passed through through to to the the loan loan interest interest rates of ban following three hypotheses: 1) More competitive markets have smaller Boone This paper intends to prove the following three hypotheses: 1) competi ThisIndicators; paper intends to prove the following three hypotheses: 1) InMore More competi 2) In a highly competitive market, the spread is low; and 3) a markets have a smaller Boone Indicator; 2) In a highly competitive market, sprea markets have a smaller Boone Indicator; 2) In a highly competitive market, sprea highly competitive market, short-term bank interestshort-term rates are more sensitive than rates are low; and 3) In a highly competitive market, bank interest low;market and 3) In a rates. highly competitive market, short-term bank interest rates are m m interest sensitive sensitive than than market market interest interest rates. rates. 3.</p>
      <p>Data and Model</p>
      <p>3. and Model 3. Data Data 3.1 and DataModel Sources and Description 3.1</p>
      <sec id="sec2-1">
        <label>3.1</label>
        <title>Data</title>
        <p>Data sources sources and and description description</p>
        <p>The variable data used in the model of this paper were from the unbalance panel data of the Taiwan Economic Journal (TEJ). this The samplesare consisted of quarterly The variable data in the model the panel Thedata variable datato used used in the model aof oftotal thisof paper paper are from from the unbalance unbalance panel dd from 2005 2016, and contained 1,553 entries of records from of the Taiwan Economic Journal (TEJ). The samples consist of quarterly data of the Taiwan Economic Journal (TEJ). Theofsamples consist of quarterly data fr fr public banks. In addition to the TEJ, the data mainland China came from 2005 to 2016, and contain a total of 1,553 entries of records from public banks 2005thetoCSMAR 2016, and contain a total 1,553 were entries records Solution Journal. Theseofsamples alsoof from 2005 tofrom 2016,33 andpublic banks addition to the TEJ, the data of mainland China also come from the CSMAR addition to the TEJ, the data of mainland China also come from the CSMAR Solu Solu contained a total of 3,840 entries of the observed values of 96 banks, excluding Journal. These samples are also from 2005 to 2016, and contain a total of 3, Journal. These missing values.samples are also from 2005 to 2016, and contain a total of 3, entries values missing The observed Boone Indictor wasof to assessexcluding market competition, as well as entries of of the the observed values ofused 96 banks, banks, excluding missing values. values. the correlation between market share and marginal cost. The market share in The Indictor is to assess market competition, as well as ThethisBoone Boone is used used to sum assess market competition, as bank well for as the the correla correla paper Indictor was the result of the of the quarterly loans of each between market share and marginal cost. The market share in this paper is the between market share and marginal cost. The market share in this paper is the re re each year divided by the sum of the quarterly loans of an individual bank each of the sum of the quarterly loans of each bank for each year divided by the sum of year. Marginal refers toloans the average costbank and income ratio, as proposed of the sum of thecost quarterly of each for each year divided by by the sum of quarterly loans individual refers Van Leuvensteijn et al. (2011). Thebank data ofeach bank year. interestMarginal rates were cost the monthly quarterly loans of of an an individual bank each year. Marginal cost refers to to the the aver aver cost and income ratio, as proposed by Van Leuvensteijn et al. (2011). The data average loan interest rates of the banks of Taiwan and mainland China. In order cost and income ratio, as proposed by Van Leuvensteijn et al. (2011). The data of of bb interest rates are average rates of banks to obtain market interest ratesloan were interest the monthly average interest ratessensitivity, are the the monthly monthly average loan interest rates of the theweighted banks of of Taiwan Taiwan mainland China. In order to obtain sensitivity, market interest rates are the overnight lending interest rates. A total of entries of quarterly data from mainland China. In order to obtain sensitivity, market interest rates are the mon mon 2005 weighted and 2016 inovernight the marketslending of mainland China and Taiwan wereof observed. average interest rates. A total 264 entries of quart average weighted overnight lending interest rates. A total of 264 entries of quart data from 2005 2016 the markets of data 3.2 from Model 2005 and and 2016 in inand the Research markets Hypotheses of mainland mainland China China and and Taiwan Taiwan are are observe observe Development 3.2</p>
      </sec>
      <sec id="sec2-2">
        <label>3.2</label>
        <title>Model</title>
        <p>Model development development and and research research hypotheses hypotheses</p>
        <sec id="sec2-2-1">
          <label>3.2.1</label>
          <title>Boone Indicator Model</title>
        </sec>
        <sec id="sec2-2-2">
          <label>3.2.1</label>
          <title>Boone</title>
          <p>Boone Indicator Indicator Model Model ln(ms )＝α + β� ln(mc�,� )+∑���,…..,(���) γ� d� +ε�,� ln(ms�,� �,� )＝α + β� ln(mc�,� )+∑���,…..,(���) γ� d� +ε�,� ln(ms )＝α + β� ln(mc�,� )+fD+gD ln(mc�,� ) +ε�,� ln(ms�,� �,� )＝α + β� ln(mc�,� )+fD+gD ln(mc�,� ) +ε�,�</p>
          <p>I: t: share each bank. marginal I: country. t: time.ms: ms:market market share bank. mc:mc: marginal cost ofcost eachof I: country. country. t: time. time. ms: market shareofof ofeach each bank. mc: marginal cost of each each bank bank residuals. β: Boone Indicator. (α, β, γ, f, g): parameters. d: virtual variable. (-βt) bank. ε: residuals. β: Boone Indicator. (α, β, γ, f, g): parameters. d: virtual residuals. β: Boone Indicator. (α, β, γ, f, g): parameters. d: virtual variable. (-βt) me me the parameter βt, market share. Hence, variable. (-βt) means theof parameterefficient of βt, indicating the negative negative parameter ofnegative βt, indicating indicating efficient marketefficient share. market Hence, Eq. Eq. (3.1a (3.1a rewritten as describe Boone Indicator of βt. share. Hence, (3.1a) isto rewritten as Eq.the (3.1b) to describe the Boone rewritten as Eq. Eq.Eq.(3.1b) (3.1b) to describe the Boone Indicator ofIndicator βt. Theoretically, Theoretically, of βt. Theoretically, Taiwanese market is morethat competitive than that of Taiwanese market more competitive than of China, as Taiwanese market is is the more competitive than that of mainland mainland China, as the the ll mainland China, as the loan interest rates of Taiwan during thelower research period interest rates of Taiwan during the research period were than those of mainl interest rates of Taiwan during the research period were lower than those of mainl China. : β� (𝑇) − β� (C) &lt; 0; H�� : β� (T China. The The first first hypothesis hypothesis is is proposed: proposed: H H�� �� : β� (𝑇) − β� (C) &lt; 0; H�� : β� (T β β�� (C) (C) ≥ ≥ 0. 0. βt βt (T) (T) and and βt βt (C) (C) represent represent the the Boone Boone Indicators Indicators of of Taiwan Taiwan and and mainl mainl China. China.</p>
          <p>hare of each bank. mc: marginal cost of each bank. ε: residuals. β: Boone Indicator. (α, β, γ, f, g): para β, γ, f, g): parameters. d: virtual variable. (-βt) means the negative parameter of βt, indicating efficie dicating efficient market share. Hence, Eq. (3.1a) is rewritten as Eq. (3.1b) to describe the Boon 78 Indicator of βt.TheTheoretically, International Journal of Banking and Finance,market Vol. 15, Nois 1, 2020 : 73-88 cribe the Boone the Taiwanese more competitive than mpetitive than that of mainland China, as the loan interest rates of Taiwan during the research per he research period were than lowerthose thanofthose of mainland China. The first ishypothesis were lower mainland China. The first hypothesis proposed: is proposed: s proposed: H�� : β� (𝑇) − β� (C) &lt; 0; H�� : β� (T) − β� (C) ≥ 0. βt (T) and βt (C) represent the Boo China. China. represent the Boone of Taiwan and mainland resent the Boone Indicators ofIndicators Taiwan and mainland del</p>
        </sec>
        <sec id="sec2-2-3">
          <label>3.2.2</label>
          <title>Interest Rate Spread Model</title>
        </sec>
        <sec id="sec2-2-4">
          <label>3.2.2</label>
          <title>Interest Rate Spread Model</title>
          <p>thereinterest is a rates co-integration If there is a co-integration relationship betweenIfbank and their relationship be corresponding market corresponding market prices,rates ECM and will be the most suitable model. Thisprices, paper ECM will be elationship between bank interest their considers the interest rates of two products the interest of twoThis products of relevant banks, and develops the ECM will beconsiders the most suitablerates model. paper following two model equations. two model equations. two productsfollowing of relevant banks, and develops the</p>
          <p>+�,�η�+ MR +MR θBI�,��,�+ MR + k D + μ�,� (3.2 �,��,�=+ζBI �,� �,� BR �,� =BR ζBI η��,� MR θBI k�,� (3.2a) (3.2a) � D� + �μ�,�� BR �,� = ζBI�,� + η� MR �,� + θBI�,� MR �,� + k � D� + μ�,� (3.2a) BR = ζBI�,� = + η�μMR �,�++μθBI MR+�,�ξBI + k �∆MR D� + μ�,�+ v (3.2a) (3.2 � �,��� �,� �,� ∆MR�,��,� �,� ∆BR�,��,� ∆BR = λ� �,� μ�,���λ+ μ� ∆MR �,�� ∆MR +�,�ξBI + v�,� (3.2b) �,� (3.2b) ∆BR �,� = λ� μ�,��� + μ� ∆MR �,� BR + ξBI ∆MR + v (3.2b) �,� �,� + �,� θBI�,� MR �,� + k � D� + μ�,� = �,� ζBI �,� �,� + η� MR ∆BR = λ�,�BR μ= +hBI μBR ∆MR + ξBI +BR =+ ζBI ηMR MR + MR + k � �,� D +v μ�,�θBI (3.2a) (3.2b) �,��� �+ �,� �,� + jD +�,�∆MR MR (3.2 ζBI +θBI η�ζBI MR +MR ++ k Dμ + μη�,� �,� c �,� �= �,� �,� �,� �MR �,� ��,� �,��,� �,�+ �,�mDBI = + +μθBI + k(3.2a) BR = + ηθBI +�,��,� k � D�,� BR �,��,�=BR c +� hBI jD + μ�,��,� �,���,� � MR � D� + μ �,� mDBI � MR �,��MR �,� + �+ �,� �,� MR �,�(3.2c) �,� MR �,��,� � �,�+ �,� �,� �,� ζBI ∆BR = λ μ + μ ∆MR + ξBI ∆MR + v (3.2a) BR = c + hBI MR + jD + mDBI MR + μ (3.2c) + μ (3.2a) �,� � �,��� � �,� �,� �,� �,� �,� �,� + μ ∆MR � �,� �,�+ v �,� + η� MR �,� + θBI�,� MR +�,�μ= μI�,��,� �,� (3.2a) ∆BR + (3.2a) (3.2b) �,� +ck+ � D�hBI �,� λ� μ∆BR =jD μ�means ξBI ∆MR v�,�+ μ�,�� ∆MR (3.2b) �,����,� �λ �,� = �,� ∆MR (3.2c) BR �,� +�,��,�μ (3.2c) ��μ+ �,��� �μ∆MR �,� �,� = ξBI ∆BR ++ μ�,� ∆MR + ∆MR +Model v�,��,� + �,� i=means �,� MR �,� �,� MR �,� country (i+=1,...,N). TλξBI month (t λξBI =� μ+ 1,...,T). (3.2a) reflect �,� �,��� �,� ∆MR �,� + v� �,�mDBI �,��� � ∆BR �,��,� �,� i means country (i =1,...,N). T means month (t = 1,...,T). Model (3.2a) reflects the BR = c + hBI MR + jD + mDBI MR + μ (3.2b) vμ�,� + μ ∆MR i means (3.2b) �,� �,� �,� � �,� �,� �,� + ξBI ∆MR + v (3.2b) (3.2b) country =1,...,N). T+hBI means month (t =indicates 1,...,T). (3.2a) reflects the BR �,�equilibrium = hBI�,��,� MR jD= mDBI MR +(3.2b) μ= (3.2c) � �,� �,� �,� �,�(ic + long-term indicates the long-term equilib � �,��� BR = pass-through. c�,�+ MR +Model jD mDBI MR +the μModel (3.2c) �+ �,� �,� �,� �,� �,� � +�,� �,� �,� �,� long-term BR c + hBI MR + jD + mDBI MR + BR c + hBI MR + jD + mDBI μ long-term equilibrium pass-through. Model (3.2b) equilibrium �,� �,� �,� � �,� �,� i means country (i =1,...,N). T means month (t = 1,...,T). Model (3.2a) �,� �,� � �,� �,� �,� i(3.2c) means country (i =1,...,N). Tmeans means month (t =indicates 1,...,T). Model (3.2a) reflects the i country (i =1,...,N). T means month (t = 1,...,T). Model (3.2 and short-term adjustment via bank interest rates. This study first discusse long-term equilibrium pass-through. Model (3.2b) the long-term equilibrium + μ (3.2c) �,� �,� MR �,� +and + jD +short-term mDBI MR + μcountry (3.2c) μ�,�hBI (3.2c) i means (i =1,...,N). T means month (t = 1,...,T). Model (3.2a) reflects the adjustment via bank interest rates. This study first discusses the � �,� �,� �,� reflects the long-term equilibrium pass-through. Model (3.2b) indicates the i pass-through. means country (icountry =1,...,N). T imeans month (tModel = 1,...,T). (3.2a) reflects long-term equilibrium Model indicates the long-term equilibrium means (i =1,...,N). T means month (t = i Model means (i (3.2b) =1,...,N). Tcountry means month (t first =Model 1,...,T). Model (3.2a long-term equilibrium pass-through. (3.2b) indicates the long-ter long-term influence ofequilibrium (3.2a), as the short-term influence of Model (3.2 and short-term adjustment via bank interest rates. This study discusses the long-term equilibrium pass-through. Model (3.2b) indicates theindicates long-term equilibrium long-term pass-through. Model (3.2b) the long-term equilibri Model (3.2a) reflects thereflects long-term influence of Model (3.2a), as the short-term influence of Model (3.2b) isi = 1,...,T). Model (3.2a) the long-term equilibrium and short-term adjustment via bank interest rates. This long-term equilibrium pass-through. Model (3.2b) long-term equilibrium pass-through. Model (3.2b) indicates the long-term and short-term adjustment via bank interest rates. This study first and short-term adjustment via bank interest rates. This study first discusses the ntry (i =1,...,N). T means month (t = 1,...,T). Model (3.2a) reflects the 1,...,T). Modellong-term (3.2a) reflects the and short-term adjustment via bank interest rates. This study first discusses the determined by error of μ�,�equilibrium of (3.2a). BR means bank interest rates influence ofthe Model (3.2a), asofModel the short-term influence of (3.2b) isd and short-term adjustment viaand bank interest rates. This study first discusses long-term equilibrium )the indicates the long-term equilibrium short-term adjustment viaModel bank interest rate and short-term adjustment via bank interest rates. This study first long-term influence of Model (3.2a), as the short-term influence of M study first discusses the long-term influence Model (3.2a), as the short-term uilibrium pass-through. Model (3.2b) indicates the long-term determined by the error of μ of Model (3.2a). BR means bank interest rates (loan ndicates the long-term equilibrium �,�(3.2a), long-term influence of Model as the short-term influence of Model is long-term influence oflong-term Model (3.2a), as the short-term influence of Model (3.2b) is(3.2b) long-term influence of Model (3.2a), as the short-term influence of Model (3.2b study first discusses the ates. This study first discusses the long-term influence of Model (3.2a), as the shortinterest rates). ∆BR refers to the monthly changes in bank interest rates. BIi,t s determined by the error of μ of Model (3.2a). BR means bank interest rates (loan influence of Model (3.2a), as the short-term influence of Mo determined by the error of μ of Model (3.2a). BR means bank inter m via bank interest rates. Thisisstudy discusses the of in�,� bank �,�firstmonthly s. adjustment This studyinterest first discusses the∆BR influence ofdetermined Model (3.2b) determined byModel the error of Model (3.2a). rates). refers todetermined the changes interest rates. BIi,t stands by theof error of μ of (3.2a). BR means bank interest rates (loan determined by the error μ of Model (3.2a). BR means bank interest rates (loan determined by the error of μ of Model (3.2a). BR means bank interest rates (lo luence of Model (3.2b) is �,� rt-term influence of Model (3.2b) is �,� �,� determined by the error of μ of Model (3.2a). B by the error of μ of Model (3.2a). BR means bank intere interest rates). ∆BR refers to the monthly changes in bank interest rate �,� luenceinfluence of Model (3.2a), as the short-term influence of Model (3.2b) is �,� for country (i) and time (t) of Boone Indicator. The market price of each co term of Model (3.2b) is interest rates). ∆BR refers to the∆BR monthly changes inbank bank interest rates. BIi,tcountry stands BR means bank interest rates (loan interest rates). ∆BR refers to the monthly interest rates). ∆BR refers to the monthly changes in interest rates. BIi,t stands syBR bank interest rates (loan for country (i)(loan and time (t) of Boone Indicator. The market price ofbank each interest rates). refers tochanges the monthly changes in bank interest rates. BIi,t sta means bank interest rates interest rates). ∆BR refers to= the monthly changes interest rates). ∆BR refers to the monthly changes in interest rates interest rates). ∆BR refers to the monthly in bank interest rates. BIi,t stands for country (i) and time (t) ofand Boone Indicator. The market price of error of μinterest Model (3.2a). BR means bank interest rates (loan R the means bank rates (loan �,� of (η MR = long-term changes in interest rates, μ ∆MR short-term chang for country (i) and time (t) of Boone Indicator. The market price of each country for country (i) and time (t) of Boone Indicator. The market price of each country � �,� � �,� changes in bank interest rates. BIi, t stands for country (i) and time (t) of the for country (i) and time (t) of Boone Indicator. The market price of each coun interest rates. BIi,t stands es in bank interest rates. BIi,t stands for country (i) and time (t) of Boone Indicator. for country (i) and time (t) of Boone Indicator. The market price of (η MR = long-term changes in interest rates, and μ ∆MR = short-term changes inT (η MR = long-term changes in interest rates, and μ ∆MR = short-te .in∆BR tofor the monthly changes in time bank interest stands � rates. �,� BIi,t Indicator. � each �,� country � country �,� � �,� bankrefers interest rates. BIi,t stands (i) and (t) of Boone The market price of (η long-term changes in interest rates, and μ = rates, short-term changes inrates, market interest rates). (ηmarket MR �,�price = long-term changes in interest rates, and μ=changes ∆MR short-term changes ket price of (t) each country � MR �,� = market � ∆MR �,� (η MR = long-term in interest rates, and μ ∆MR short-term changes in . The market price of each country �changes �changes �,� = (η MR = long-term in interest and Boone Indicator. The of each country = long-term (η MR = long-term changes in interest and μ ∆MR = short-term � �,� � �,� market interest rates). � �,� i) and time of Boone Indicator. The price of each country � �,� � �,� The market price of each country market interest rates). (η MR = long-term changes in interest rates, and μ ∆MR = short-term changes in market interest rates). = short-term changes in � �,� � �,� market interest rates). nd μ ∆MR = short-term changes in �,� market interest rates). interest rates). � ng-term changes interest rates,inand and μ� ∆MR �,� ==market short-term changes in in market interest rates). inininterest rates, short-term changes market interest rates). μ� ∆MR =�,� short-term changes �,� Market interest rates (MR ) multiply the Boone Indicator (BI). (θBI MR = B Market interest rates (MR ) multiply the Boone Indicator (BI). (θBI i,t i,t market Market interest rates). �,� �,� �,� st rates). Market interest ratesi,tinterest multiply the Boone Indicator (BI). (θBI MR = Boone i,t)rates interest rates multiply Boone Indicator (BI). Market (MR ) the multiply the Boone Indicator (θBI MR Market interest rates (MR )(MR multiply therates Indicator (BI). (θBI = Boone �,� �,� MR i,tBoone �,�the �,� = Boo Market interest rates (MR ) multiply Boone �,� �,� Market interest (MR the Boone Indicator (BI). (θBI M i,t(BI). i,t) multiply long-term changes in market interest rates and ξB ∆MR = short-te �,� �,� MR�,� = Boone long-term changes in interest rates and ξB = =short-term changI Market interest (MR )market multiply therates Boone Indicator �,� ∆MR �,� (θBI long-term changes ini,t market interest and ξB ∆MR =(BI). short-term changes inshort-term (BI). (θBI(MR MRlong-term = Boone �,� �,� long-term changes market interest rates and ξB ∆MR short-term changes �,� �,� Boonerates long-term changes ininchanges market interest rates and endicator Indicator (θBI = Boone �,�(BI). �,� �,� long-term changes in market interest rates and ξB �,� MRthe �,� long-term in market interest rates and ξB ∆MR = changes in market interest rates and ξB ∆MR = short-term changes ino est rates multiply Boone Indicator (BI). (θBI MR = Boone Boone Indicator). Country virtual variable (Di). The short-term model i,t)�,�Market �,� �,� (BI). (θBI MR = Boone interest rates (MR ) multiply the Boone Indicator (BI). (θBI MR = Boone �,� �,� �,�short-term �,� i,t �,� �,� �,�model �,� Boone Indicator). Country virtual variable (Di). The short-term model of Model Boone Indicator). Country virtual variable (Di). The model of Model (3.2b) changes inrates Boone Indicator). Country virtual variable (Di). The short-term of Model (3 changes in market interest rates and ξB ∆MR =(Di). short-term changes in ξB= ∆MR = long-term short-term changes in Boone Indicator). Country virtual variable (Di). Th short-term changes in Boone Indicator). Country virtual variable (Di). The shortBoone Indicator). Country virtual variable The short-term model of �,�short-term �,� �,� �,� includes error correction item (λ μ ). anges in market interest and ξB ∆MR = short-term changes in ∆MR = short-term changes in � �,��� �,� �,� Boone Indicator). Country virtual variable (Di). The short-term model of Model (3.2b �,� �,� long-term changes inincludes market interest rates and ξB ∆MR = short-term changes in includes error correction item (λ ). ). error correction item (λ μ ). �,� �,� erm model of Model (3.2b) � μ�,��� includes error correction item (λ μ The short-term model of Model (3.2b) � �,��� includes error correction item (λ μ ). includes error correction item (λ μ ). � �,��� Countrymodel virtual (Di). TheCountry short-term model error ofvariable Model (3.2b) Boone Indicator). virtual (Di).item The short-term model �of�,��� Model (3.2b � �,��� term model of Model (3.2b)item includes correction etor). short-term ofvariable Model (3.2b) includes error correction (λ μ ). In Models (3.2a) and (3.2b) and various competitive effects [parame � �,��� Boone Country virtual variable (Di). The short-term model ofof((ζ,ξ,θ) Model (3.2b correction item (λ� μ�,���Indicator). ).error In Models and (3.2b) and competitive effects [parameters In Models (3.2a)(3.2a) (3.2b) and various competitive effects includes correction item (λ ).various Inand Models (3.2a) and (3.2b) and various competitive effects [parameters of ((ζ,ξ In Models (3.2a) and (3.2b) and various[paramete competi � μ�,��� In Models (3.2a) and (3.2b) and various competitive effects (panel)], Eq. 3.3various can be deduced by Eq.[parameters 3.2a. The [parameters pass-through effect In Models (3.2a) and (3.2b) and competitive effects of ((o includes error correction item (λ μ ). (panel)], Eq. 3.3 can be deduced by Eq. 3.2a. The pass-through effect of Interest Rate � can �,��� (panel)], Eq. 3.3 be deduced by Eq. 3.2a. The pass-through effect of Interest R cts [parameters of ((ζ,ξ,θ) etitive effects [parameters of ((ζ,ξ,θ) of (panel)], Eq. 3.3 can be deduced by Eq. 3.2a. The pass-through effect (panel)], Eq. 3.3 can be deduced by Eq. 3.2a. The (panel)], Eq. 3.3 can be deduced by Eq. 3.2a. The pass-through effect Spread Model Eq. (3.2a) may be direct and complete. We assume ηof InandModels (3.2a) and (3.2b) and various competitive effects [parameters of ((ζ,ξ,θ) 3.2a)effects and (3.2b) various competitive effects [parameters ofby ((ζ,ξ,θ) �p tive [parameters of ((ζ,ξ,θ) (panel)], Eq. 3.3 can be deduced Eq. 3.2a. The pass-through effect of Interest Spread Model Eq. (3.2a) may be direct and complete. We assume ηmay 1;beθWe =ηassume 0 =to Spread Model Eq. (3.2a) may be direct and complete. We assume 1;((ζ,ξ,θ θη�= =0 effect of Interest Rate � = eugh pass-through effect of Interest Rate In Models (3.2a) and (3.2b) and various competitive effects [parameters � of Spread Model Eq. (3.2a) direct and compl Spread Model Eq. (3.2a) may be direct and complete. obtain Interest Rate Spread Model Eq. (3.3). of Interest Rate Spread Model Eq. (3.2a) may be direct and complete. We assume 3.3 can be deduced by Eq. 3.2a. The pass-through effect of Interest Rate ass-through effect Interest Rate (panel)], Eq. 3.3 canand be deduced byvarious Eq. 3.2a. The pass-through effect of Interest Rate Interest Rate Spread Model Eq. (3.3). Inθbeof Models (3.2a) (3.2b) and competitive effects of ((ζ,ξ,θ Model Eq. (3.2a) may be direct and complete. We[parameters assume η� (3.3). = 1; θ = obtain Interest Spread Eq.Model (3.3). η� assume =may 1; = to mplete. We =Spread 1;θEq. θ=obtain 0 to Interest Rate Spread Model obtain Interest Eq. (3.3). � 0 lassume Eq.We (3.2a) and complete. We assume ηRate = 1; θ Rate = Model 0 Spread toobtain (panel)], can be deduced Eq. 3.2a. The pass-through effect of=Eq. Interest Rate ete. assume η� η=direct 1; 0=3.3 � by to obtain Interest Rate Spread Model Eq. (3.3). Spread Model Eq. (3.2a) may be direct and complete. We assume η 1; θ = to (BR − MR ) = C + δBI + K D + ζD ∗ BI + μ �,� �,� �,� � � � �,� �,� � obtain Interest Rate Spread Model Eq. (3.3). (panel)], Eq. 3.3 can be deduced by Eq. 3.2a. The pass-through effect of Interest Rate t Rate Spread Model Eq.Model (3.3). (BR �,�Eq. − MR Cmay + δBI + K+ ζD+ ∗complete. BI +− μMR (3.3) (BR MR )�,�= C K(BR + ζD BI +assume μ+ (3 �,� ) = � DδBI � )+and �+ �,� Spread (3.2a) be direct We η = 1; θ = to �,� − �,� �,� C � D�,� � �,� � �∗D�,� �,�=ζD �,�BI ) C δBI + K D + ζD ∗ BI + (BR − MR = δBI + K + ∗ + μ � �,� � � � �,� �,� �,� �,� � � �,� �,� obtain Interest Rate Spreadmay Model Eq. (3.3). Spread Model Eq. (3.2a) be direct and complete. We assume η = 1; θ = to The Spread Model is adopted. Hypothesis 2: In a highly competitiv (3.3) � + μ (3.3) Rate Spread Model Eq. (3.3). (3.3) + K � D� Interest + ζD�(3.3) ∗The BI + μ�,� (3.3) Model isThe adopted. Hypothesis 2: InSpread a �,�highly competitive market, the (BR − MR ) = C + δBI + K D + ζD ∗ BI + μ ( ,�μ)�,�=�,�C + δBI�,�obtain �,�Spread �,� The Spread Model is adopted. Hypothesis 2: In a highly competitive market, �,� �,� � � � �,� The Model is adopted. Hypothesis 2: In Spread Model is adopted. Hypothesis 2: In a highly competitive spread (bank interest rates market interest rates) is low. The obtain Interest Rate Spread Model Eq. (3.3).interest rates) is low. Theoretically, the spread (bank interest rates market (BR − MR ) = C + δBI + K D + ζD ∗ BI + μ (3.3) spread (bank interest rates market interest rates) is low. Theoretically, yIn competitive market, the a highly competitive market, �,� �,� �,�spread � � market, � theof �,� �,�is spread (bank interest ratesthat - of market interest interest rates market interest rates) is low. Theor competitive spread Taiwan smaller than mainland Chin is competitive adopted. Hypothesis 2:the In aC highly competitive aModel highly market, the (BR − MR = + δBI + K � D(bank +smaller ζD BI +a2: μ-ofishighly (3.3) competitive spread of Taiwan than that mainland as loan as �,� the �,� )the �,� �isof � ∗of �,� �,� The Spread Model is adopted. Hypothesis In athat highly competitive marke competitive spread Taiwan is2: smaller than ofChina, mainland China, the lo low. The Spread Model islow. adopted. Hypothesis In competitive rates)isTheoretically, islow. low. competitive spread ofthan Taiwan is the smaller than tha competitive spread Taiwan smaller that of mainland China, interest rates of Taiwan during the research period were lower than thos interest rates - Theoretically, market interest rates) is Theoretically, the (BR − MR ) = C + δBI + K D + ζD ∗ BI + μ (3.3) ates) Theoretically, the �,�loan interest �,� ratesinterest �,� during � the � research � the �,� �,�period of Taiwan period were lower than those ofthe mainland rates of Taiwan during research were lower than those of mainla nland China, as the The Spread Model is adopted. Hypothesis 2: In a highly competitive market, the hat of mainland China, as the loan interest rates of Taiwan during research period spread (bank interest rates market interest rates) is low. Theoretically interest rates of Taiwan during the research period were lower than those China. See Hypothesis 2, as follows: H : ζ(𝑇) − ζ(𝐶) &gt; 0; H : ζ(𝑇 market, the spread (bank interest rates market interest rates) is low. of Taiwan is smaller than that of mainland China, as the loan �� �� tpread of mainland China, as theChina. loan See Hypothesis 2, as Hypothesis follows: H : ζ(𝑇) − ζ(𝐶) &gt; 0;H H :2,ζ(𝑇) −H ζ(𝐶) ≤H0.H The Spread Model islower adopted. 2:2,spreads In a :that highly competitive market, the China. See Hypothesis 2,means as H ζ(𝑇) −��ζ(𝐶) &gt;− 0;Theoretically, ζ(𝑇) −�� ζ(𝐶) wer thanlower those than of mainland ��follows: �� d were those of mainland �� �� China. See Hypothesis as follows: ζ(𝑇) −≤ China. See Hypothesis assmaller follows: ζ(𝑇) ζ(𝐶) &gt;: China. 0; : ζ(𝑇) ζ(T) and ζ(C) the of Taiwan and mainland �� : as spread (bank interest rates -those market interest rates) is the of Taiwan the research period were than of mainland competitive spread of Taiwan is smaller than of :low. mainland China, the were lowerduring than those of mainland Theoretically, the competitive spread of Taiwan is than that of The Spread Model is adopted. Hypothesis 2: In a highly competitive market, the ζ(T) and ζ(C) means the spreads of Taiwan and mainland China. ζ(T) and ζ(C) means the spreads of Taiwan and mainland China. 0; H : ζ(𝑇) − ζ(𝐶) ≤ 0. − ζ(𝐶) &gt; 0; H : ζ(𝑇) − ζ(𝐶) ≤ 0. ζ(T) and ζ(C) means the spreads of Taiwan and mai spread (bank interest rates market interest rates) is low. Theoretically, the �� ζ(T) and ζ(C) means the spreads of Taiwan and mainland China. �� ypothesis follows: H�� :≤ ζ(𝑇) − ζ(𝐶) &gt; 0; interest H��during ζ(𝑇) −the ζ(𝐶) ≤than 0. during ζ(𝐶) &gt; 0; 2,Has :mainland ζ(𝑇) −interest ζ(𝐶) 0. competitive spread ofloan Taiwan smaller that of China, as the loan rates of Taiwan research period were lower than those of main �� China, as the rates of Taiwan the mainland research period 3.2.3 Pass-Through Speed Model spread (bank interest rates -: is market interest rates) is low. Theoretically, the hina. ainland China. meansChina. the spreads of Taiwan3.2.3 and mainland China. competitive spread of Taiwan is smaller than that of mainland China, as the loan Pass-Through Speed Model nland 3.2.3 Pass-Through Speed Model 3.2.3 Pass-Through Speed Model 3.2.3 Pass-Through Speed Model interest rates of Taiwan during the research period were lower than those of mainland China. See Hypothesis 2, as follows: H : ζ(𝑇) − ζ(𝐶) &gt; 0; H : ζ(𝑇) − ζ(𝐶) were lower than those of mainland China. See Hypothesis 2, as follows: �� �� competitive spread of Taiwan isorder smaller thatwere of mainland China, asEq. the loan Inthe to verifythan the speed equation, thisthan paper rewrites (3.2b) in interest ratesand Taiwan during research period lower those of mainland hrough Speed China. Model ζ(T) Inof order tomeans verify the speed equation, this paper rewrites Eq. (3.2b) into Eq. (3.2c); ζ(C) the spreads of Taiwan and mainland China. See Hypothesis 2, as follows: H :MR_(i,t), ζ(𝑇) − ζ(𝐶) &gt; 0; H :rewrites ζ(𝑇) − ζ(𝐶) ≤(3.2 0r In order toIn verify the speed equation, this rewrites Eq. (3.2b) into Eq. �� �� In order to paper verify the speed equation, this paper interest rates of Taiwan during the research period were lower than those of mainland order to verify the speed equation, this paper Eq. (3.2b) int and mDBI_(i,t) virtual variable (D), Boone Indicator(BI) China. See Hypothesis 2, as follows: H : ζ(𝑇) − ζ(𝐶) &gt; 0; H : ζ(𝑇) − ζ(𝐶) ≤ and mDBI_(i,t) MR_(i,t), virtual variable (D), Boone (D), Indicator(BI), and market �� �� and mDBI_(i,t) MR_(i,t), variable Boone Indicator(BI), and(D), Eq. (3.2b) intoζ(T) Eq. (3.2c); rewrites rewrites Eq. (3.2b) into Eq. (3.2c); and mDBI_(i,t) MR_(i,t), virtual and ζ(C) means the 2, spreads of Taiwan and mainland China. and mDBI_(i,t) MR_(i,t), virtual (D), Indicator(BI), interest rates (MR) are multiplied together to obtainvariable coefficient verify theEq. speed equation, this paper rewrites Eq.as (3.2b) into Eq. China. See Hypothesis follows: H(3.2c); :virtual ζ(𝑇) − ζ(𝐶) variable &gt; 0;obtain H :Boone ζ(𝑇) − ζ(𝐶) ≤mar 0m (3.2b) into Eq. (3.2c); �� �� interest rates (MR) are multiplied together tomultiplied obtain coefficient m, in order to in order 3.2.3 Pass-Through Speed Model interest rates (MR) are multiplied together to coefficient m, ζ(T) and ζ(C) means the spreads of Taiwan and mainland China. ndicator(BI), and market ,Boone Boone Indicator(BI), and market interest rates (MR) are multiplied together tom,o interest rates (MR) are together to obtain coefficient determine when the competition of Taiwan is greater than mainland ,t) MR_(i,t), virtual variable (D), Boone Indicator(BI), and market Indicator(BI), and market ζ(T) and means the the spreads oftheTaiwan and China. determine when competition of Taiwan ismainland greater than mainland China; the determine when competition Taiwan greater mainland China;is ifm oefficient m,multiplied in order toinζ(C) obtaincoefficient coefficient order determine when the ofifcoefficient Taiwan gre determine when the competition ofisTaiwan greater mainland C pass-through speed isoffaster, while thecompetition pisthan value ofthan 3.2.3 Pass-Through Speed Model (MR) are coefficient m, while in order btain m,m, intogether order tototo obtain pass-through speed isModel faster, the tois ppass-through value ofwhile coefficient m is (3.2b) significant. In order to verify the speed equation, this paper rewrites Eq. into pass-through speed is faster, while the p value of coefficient m is interest significa mainland China; if the 3.2.3 Pass-Through Speed reater than mainland China; if the speed is faster, while the pEq. value pass-through speed faster, the p value of coefficient m (3 is Hypothesis highly competitive market, short-term bank en the of Taiwan is greater than mainland China;3:ifIn athe ater thancompetition mainland China; if the</p>
          <p>(BR �,� − MR �,� ) = C + δBI�,� The + K �Spread D� + ζDModel + adopted. μ�,� H � ∗ BI�,� is + μ (3.3) �,� s adopted. Hypothesis 2: In a highly competitive market, the spread (bank interest rates - ma The Spread Model is adopted. Hypothesis 2: In a highly co t rates - market interest rates) is low. Theoretically, the competitive spread of Taiwan is s n a highly competitive market, the spread interestEmpirical rates - market Models of(bank Different Markets: 79 rates) interest rates ofinterest Taiwan during is thelor Taiwan is smaller than that of mainland China, as theAnloan rates) is low.Study Theoretically, the China competitive spread of Taiwan is smaller than that of mainla of the Markets of Mainland and Taiwan: 73-88 n during the research period were lower than those of mainland China. See Hypothesis 2, as follow hat of mainland China, as the loan interest rates of Taiwan during the research period were lower meansthe the spreads of T 2, as lower follows: : ζ(𝑇) ζ(𝐶) &gt; 0; H�� : ζ(𝑇) − ζ(𝐶) ≤ 0. ζ(T) and ζ(C) means ds were thanH�� those of − mainland China. See Hypothesis 2, as follows: H�� : ζ(𝑇) − ζ(𝐶) &gt; 0; he spreads of Taiwan and mainland China. spreads − ζ(𝐶) &gt; 0; H�� : ζ(𝑇)of−Taiwan ζ(𝐶) ≤and 0. mainland ζ(T) andChina. ζ(C) means the spreads Taiwan and mainland China 3.2.3 of Pass-Through Speed Model ainland China. 3.2.3 Pass-Through Speed ​​Model peed Model</p>
        </sec>
        <sec id="sec2-2-5">
          <label>3.2.3</label>
          <title>Pass-Through Speed Model</title>
          <p>In order to verify the speed equati and mDBI_(i,t) MR_(i,t), virtual e speed equation,Inthis paper rewrites Eq. (3.2b) intothis Eq.paper (3.2c); order to verify the speed equation, rewrites Eq. (3.2b) into Eq. rewrites In order to verify the speed equation, this paper Eq. interest rates (MR) are multiplied _(i,t), virtual variable (D),mDBI_(i,t) Boone Indicator(BI), market (3.2c); and virtualand variable (D), Boone Indicator(BI), and Boone Indi rewrites Eq. (3.2b) into Eq. (3.2c); MR_(i,t), and mDBI_(i,t) MR_(i,t), virtual variable (D), when the competition of are multiplied together to obtain coefficient m, in together order totodetermine market interest rates (MR) are multiplied obtain coefficient m, in Boone Indicator(BI), and market interest rates (MR) are multiplied together pass-through speedtois obtain faster, coeff whi ompetition of Taiwan is greater than mainland China; if the order to determine when the competition of Taiwan is greater than mainland obtain coefficient m, in order to determine when the competition of Taiwan is greater than m Hypothesis 3: In a highly competiti s faster, while China; the p ifvalue of coefficient m is significant. the pass-through speed is faster, whileisthe p valuewhile of coefficient m is of coeffic reater than mainland China; if the pass-through speed faster, the p value sensitive than market interest rates. hly competitive market, short-term bank interest rates are more Hypothesis 3: In a highly competitive market, short-term market, bank interest ue of coefficientsignificant. m is significant. Hypothesis 3: In a highly competitive short-term bank H�� : ξ(𝑇) − ξ(C) ≤ 0. ξ(T) and nterest rates. Hypothesis 3,more as follows: H�� :interest ξ(𝑇) −rates. ξ(C)See &gt; 0; ort-term bank See interest rates aresensitive rates are more than market Hypothesis as follows: 3, as follow sensitive than market interest rates. See3, Hypothesis ≤ 3, 0. as ξ(T) and ξ(C) of Taiwan and mainland China, respectively. is follows: H��represent : ξ(𝑇) − the ξ(C)pass-through &gt; 0; H�� : speeds represent the pass-thr ξ(𝑇) − ξ(C) ≤ 0. ξ(T) and ξ(C) represent espectively. nt the pass-through of Taiwan the speeds pass-through speeds of TaiwanChina, and mainland China, respectively. and mainland respectively. 4. Analysis of Empirical Results cal Results sis</p>
        </sec>
      </sec>
      <sec id="sec2-3">
        <label>4.4</label>
        <title>Analysis</title>
        <p>Analysis of Results ofEmpirical Empirical Results</p>
      </sec>
      <sec id="sec2-4">
        <label>4.1</label>
        <title>Descriptive analysis</title>
        <p>Descriptive Analysis</p>
      </sec>
      <sec id="sec2-5">
        <label>4.1</label>
        <title>Descriptive analysis</title>
        <p>Table 1 shows descriptive statisti iptive statistics Table of all1 shows the samples of Taiwan, including bank the descriptive of all samples of Taiwan, banksamples of T Tablestatistics 1 shows descriptive statisticsincluding of all the samples of Taiwan, including bank interest rates (BR), market interest rates (MR), Boone indicator (BI), BI*MR,</p>
        <p>BR-MR, market share (MS), and marginal cost (MC). Table 2 displays the descriptive statistics of all samples of mainland China, including mean, standard deviation, median, maximum, and minimum. Based on the observations of Tables 1 and 2, the Boone coefficient of Taiwan was higher, indicating that it was less competitive, while that of mainland China was lower, indicating that it was more competitive.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <caption><title>Descriptive Statistics of Sample from Taiwan</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th>Bank</th>
                <th>Market</th>
                <th colspan="5"></th>
              </tr>
              <tr>
                <th>Taiwan</th>
                <th colspan="2"></th>
                <th>Boone</th>
                <th colspan="2"></th>
                <th>Market</th>
                <th>Marginal</th>
              </tr>
              <tr>
                <th></th>
                <th>Interest</th>
                <th>Interest</th>
                <th></th>
                <th>BI*MR</th>
                <th>Spread</th>
                <th colspan="2"></th>
              </tr>
              <tr>
                <th>market</th>
                <th colspan="2"></th>
                <th>Indicator</th>
                <th colspan="2"></th>
                <th>Share</th>
                <th>Cost</th>
              </tr>
              <tr>
                <th></th>
                <th>Rates</th>
                <th>Rates</th>
                <th colspan="5"></th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Mean</td>
                <td>3.2686</td>
                <td>0.8138</td>
                <td>0.1112</td>
                <td>2.8986</td>
                <td>2.4547</td>
                <td>0.0436</td>
                <td>0.4342</td>
              </tr>
              <tr>
                <td>Standard</td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
              <tr>
                <td>Deviation</td>
                <td>0.6316</td>
                <td>0.7040</td>
                <td>4.8837</td>
                <td>5.7725</td>
                <td>0.1974</td>
                <td>0.0339</td>
                <td>0.1270</td>
              </tr>
              <tr>
                <td>Median</td>
                <td>2.8830</td>
                <td>0.3880</td>
                <td>-2.1324</td>
                <td>-0.5852</td>
                <td>2.4565</td>
                <td>0.0269</td>
                <td>0.4237</td>
              </tr>
              <tr>
                <td>Maximum</td>
                <td>4.4430</td>
                <td>2.4960</td>
                <td>9.2208</td>
                <td>18.4704</td>
                <td>3.6770</td>
                <td>0.1377</td>
                <td>0.7819</td>
              </tr>
              <tr>
                <td>Minimum</td>
                <td>2.5630</td>
                <td>0.0970</td>
                <td>-6.5300</td>
                <td>-2.2572</td>
                <td>1.5600</td>
                <td>0.0041</td>
                <td>0.1950</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <caption><title>Descriptive Statistics of Sample from Mainland China</title></caption>
          <table>
            <thead>
              <tr>
                <th>Mainland</th>
                <th>Bank</th>
                <th>Market</th>
                <th colspan="5"></th>
              </tr>
              <tr>
                <th colspan="3"></th>
                <th>Boone</th>
                <th colspan="2"></th>
                <th>Market</th>
                <th>Marginal</th>
              </tr>
              <tr>
                <th>China</th>
                <th>Interest</th>
                <th>Interest</th>
                <th></th>
                <th>BI*MR</th>
                <th>Spread</th>
                <th colspan="2"></th>
              </tr>
              <tr>
                <th colspan="3"></th>
                <th>Indicator</th>
                <th colspan="2"></th>
                <th>Share</th>
                <th>Cost</th>
              </tr>
              <tr>
                <th>market</th>
                <th>Rates</th>
                <th>Rates</th>
                <th colspan="5"></th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Mean</td>
                <td>5.8418</td>
                <td>2.7550</td>
                <td>-2.4491</td>
                <td>-11.2121</td>
                <td>3.0867</td>
                <td>0.0272</td>
                <td>0.4928</td>
              </tr>
              <tr>
                <td>Standard</td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
              <tr>
                <td>Deviation</td>
                <td>0.4865</td>
                <td>1.2102</td>
                <td>4.2567</td>
                <td>15.8631</td>
                <td>1.1326</td>
                <td>0.0430</td>
                <td>0.1547</td>
              </tr>
              <tr>
                <td>Median</td>
                <td>6.0000</td>
                <td>2.7700</td>
                <td>-3.9605</td>
                <td>-10.4027</td>
                <td>3.0072</td>
                <td>0.0108</td>
                <td>0.4581</td>
              </tr>
              <tr>
                <td>Maximum</td>
                <td>7.2900</td>
                <td>5.6036</td>
                <td>3.7828</td>
                <td>6.7369</td>
                <td>4.8172</td>
                <td>0.1872</td>
                <td>0.9710</td>
              </tr>
              <tr>
                <td>Minimum</td>
                <td>4.3500</td>
                <td>1.0600</td>
                <td>-9.7</td>
                <td>-54.3552</td>
                <td>0.3963</td>
                <td>0.0001</td>
                <td>0.2163</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <sec id="sec2-5-1">
          <title>Heterogeneous Variation Robustness Test</title>
          <p>In order to avoid model distortion when descriptive analysis, correlation coefficient, covariance, and variables are extremely similar, this study added the Newey-west Test, which could exclude self-correlation and heterogeneous variation to reach the best unbiased estimator. The first step included heterogeneous variation test BP (Breusch) and the white test. Table 3 shows that all three equations reject the null hypothesis (H0) of homogeneity and variation, implying that all three models have heterogeneous variations.</p>
          <table-wrap id="tbl3">
            <label>Table 3</label>
            <caption><title>Test of Heterogeneous Variations of Three Models</title></caption>
            <table>
              <thead>
                <tr>
                  <th>Boone</th>
                  <th>Speed</th>
                  <th>Interest</th>
                </tr>
                <tr>
                  <th>Model</th>
                  <th>Model</th>
                  <th>Rate</th>
                </tr>
                <tr>
                  <th colspan="2"></th>
                  <th>Spread</th>
                </tr>
                <tr>
                  <th colspan="2"></th>
                  <th>Model</th>
                </tr>
                <tr>
                  <th>BP</th>
                  <th colspan="2"></th>
                </tr>
                <tr>
                  <th>test</th>
                  <th>BP test</th>
                  <th>BP test</th>
                </tr>
                <tr>
                  <th>F</th>
                  <th colspan="2"></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>statistics 22.6074</td>
                  <td>P value 0 1362.569 P value</td>
                  <td>0 283.075 P value 0</td>
                </tr>
                <tr>
                  <td>LM</td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>statistics 67.0279</td>
                  <td>P value X (3) 0 241.1677 P value X (2) 0</td>
                  <td>181.355 P value X (2) 0</td>
                </tr>
                <tr>
                  <td>White test</td>
                  <td>White test</td>
                  <td>White test</td>
                </tr>
                <tr>
                  <td>F</td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>statistics</td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>24.1204 P value</td>
                  <td>0 7.275 P value</td>
                  <td>0 20.201 P value 0</td>
                </tr>
                <tr>
                  <td>LM</td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>statistics 118.0894 P value X (5)</td>
                  <td>0 32.6216 P value X (5) 0</td>
                  <td>74.276 P value X (5) 0</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Study of the Markets of Mainland China and Taiwan: 73-88</p>
        </sec>
      </sec>
      <sec id="sec2-6">
        <label>4.3</label>
        <title>Results of Regression Analysis</title>
        <sec id="sec2-6-1">
          <label>4.3.1</label>
          <title>Boone Model of Taiwan and Mainland China</title>
          <p>In a competitive market, the Boone Indicator, meaning the marginal cost coefficient, is negative, as shown by g in Eq. (3.1b). This paper supposes that, if Taiwan entered a developing country earlier than mainland China, the loan interest rates of Taiwan during the research period would be lower than those of mainland China. Hence, the Taiwanese market should be more competitive. However, the test results (Table 4) of this paper rejects H0. The results show that mainland China is more competitive than Taiwan in terms of the loan market. Therefore, H10 is rejected, implying that lower intermediary profits lead to stronger price competitiveness, which is similar to Klein (1971).</p>
          <table-wrap id="tbl4">
            <label>Table 4</label>
            <caption><title>Regression Analysis Results of Boone Model</title></caption>
            <table>
              <thead>
                <tr>
                  <th colspan="4">Dependent Variable: Market Share (General Regression)</th>
                  <th></th>
                </tr>
                <tr>
                  <th>Independent</th>
                  <th>Correlation</th>
                  <th>Standard</th>
                  <th>T Statistics</th>
                  <th>P Value</th>
                </tr>
                <tr>
                  <th>Variable</th>
                  <th>Coefficient</th>
                  <th>Deviation</th>
                  <th colspan="2"></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Intercept</td>
                  <td>0.004083</td>
                  <td>0.000789</td>
                  <td>5.171947</td>
                  <td>0.0001</td>
                </tr>
                <tr>
                  <td>Marginal cost</td>
                  <td>0.021126</td>
                  <td>0.002092</td>
                  <td>10.0994</td>
                  <td>0.0005</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>0.001285</td>
                  <td>0.002998</td>
                  <td>0.428676</td>
                  <td>0.6682</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>0.039935</td>
                  <td>0.006841</td>
                  <td>5.837611</td>
                  <td>0.006</td>
                </tr>
                <tr>
                  <td>multiplies</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>marginal cost</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>R-squared</td>
                  <td>In order to prevent model distortion, this paper also tested the Newey-</td>
                  <td>0.1218</td>
                  <td></td>
                  <td></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
        <sec id="sec2-6-2">
          <title>R-squared</title>
          <p>In order to prevent model distortion, this paper also tested the Neweywest Model, as shown in Table 5. The results also rejected H0, that Taiwan is more competitive than mainland China. As mainland China is more competitive than Taiwan, thus, H10 is also rejected.</p>
          <table-wrap id="tbl5">
            <label>Table 5</label>
            <caption><title>Results of Newey-west Regression of Boone Model</title></caption>
            <table>
              <thead>
                <tr>
                  <th></th>
                  <th colspan="3">Dependent Variable: Market Share (Newey-west)</th>
                  <th></th>
                </tr>
                <tr>
                  <th>Independent</th>
                  <th>Correlation</th>
                  <th>Standard</th>
                  <th>T Statistics</th>
                  <th>P Value</th>
                </tr>
                <tr>
                  <th>Variable</th>
                  <th>Coefficient</th>
                  <th>Deviation</th>
                  <th colspan="2"></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Intercept</td>
                  <td>0.004083</td>
                  <td>0.001538</td>
                  <td>2.654738</td>
                  <td>0.008</td>
                </tr>
                <tr>
                  <td>Marginal Cost</td>
                  <td>0.021126</td>
                  <td>0.004543</td>
                  <td>4.649663</td>
                  <td>0.0005</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>0.001285</td>
                  <td>0.004219</td>
                  <td>0.304538</td>
                  <td>0.7607</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>0.039935</td>
                  <td>0.010863</td>
                  <td>3.676347</td>
                  <td>0.0002</td>
                </tr>
                <tr>
                  <td>multiplies</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>marginal cost</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>R-squared</td>
                  <td></td>
                  <td>0.1218</td>
                  <td></td>
                  <td></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
        <sec id="sec2-6-3">
          <title>R-squared</title>
        </sec>
        <sec id="sec2-6-4">
          <label>4.3.2</label>
          <title>Interest Rate Spread Models of Taiwan and Mainland China</title>
          <p>Table 6 demonstrates the general regression of the Speed Model. The Boone Indicator points out that, in a more competitive market, the pass-through between the loan interest rates of banks and market interest rates is faster. The Virtual variable, the Boone Indicator, and market interest rates are multiplied together. Coefficient m in Eq. (3.2c) is used. This paper supposes that, if Taiwan entered a developing country earlier than mainland China, the loan interest rates of Taiwan during the research period would be lower than those of mainland China. Hence, Taiwan should be more competitive than mainland China; and the pass-through speed of the former should be faster than the latter. The results show that, a more competitive loan market has more complete pass-through speed. The pass-through speed of mainland China is faster than that of Taiwan. Thus, H20 is rejected.</p>
          <table-wrap id="tbl6">
            <label>Table 6</label>
            <caption><title>Regression Analysis Results of the Speed Model</title></caption>
            <table>
              <thead>
                <tr>
                  <th colspan="4">Dependent Variable: Bank Interest Rates (General Regression)</th>
                  <th></th>
                </tr>
                <tr>
                  <th>Independent</th>
                  <th>Correlation</th>
                  <th>Standard</th>
                  <th>T Statistics</th>
                  <th>P Value</th>
                </tr>
                <tr>
                  <th>Variable</th>
                  <th>Coefficient</th>
                  <th>Deviation</th>
                  <th colspan="2"></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Intercept</td>
                  <td>5.812833</td>
                  <td>0.058696 Dependent Variable: Bank Interest Rates (General Regression)</td>
                  <td>99.03251</td>
                  <td>0.0007 (continued)</td>
                </tr>
                <tr>
                  <td>Independent</td>
                  <td>Correlation</td>
                  <td>Standard</td>
                  <td>T Statistics</td>
                  <td>P Value</td>
                </tr>
                <tr>
                  <td>Variable</td>
                  <td>Coefficient</td>
                  <td>Deviation</td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>Boone Indicator</td>
                  <td>-0.017685</td>
                  <td>0.004437</td>
                  <td>-3.986113</td>
                  <td>0.0002</td>
                </tr>
                <tr>
                  <td>multiplies market</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>interest rates</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>-2.799504</td>
                  <td>0.079158</td>
                  <td>-35.3659</td>
                  <td>0.0005</td>
                </tr>
                <tr>
                  <td>Dummy variable,</td>
                  <td>0.105759</td>
                  <td>0.009365</td>
                  <td>11.29316</td>
                  <td>0.002</td>
                </tr>
                <tr>
                  <td>Boone Indicator,</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>and market</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>interest rates</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>multiply together</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>R-squared</td>
                  <td></td>
                  <td>0.8692</td>
                  <td></td>
                  <td></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Dependent Variable: Bank Interest Rates (General Regression) Independent Variable Intercept</p>
          <p>Correlation Coefficient</p>
          <p>Standard Deviation</p>
          <p>T Statistics</p>
          <p>P Value</p>
          <p>(continued)</p>
          <p>Study of the Markets of Mainland China and Taiwan: 73-88</p>
          <p>Dependent Variable: Bank Interest Rates (General Regression) Independent Variable</p>
          <p>Correlation Coefficient</p>
          <p>Standard Deviation</p>
          <p>T Statistics</p>
          <p>P Value</p>
          <p>Boone Indicator multiplies market interest rates</p>
          <p>Dummy variable</p>
          <p>Dummy variable, Boone Indicator, and market interest rates multiply together</p>
        </sec>
        <sec id="sec2-6-5">
          <title>R-squared</title>
          <p>Table 7 shows the Speed Model Newey-west adjustment, and indicates that a more competitive loan market has more complete pass-through speed. The passthrough speed of mainland China is faster than that of Taiwan, thus, H20 is also rejected.</p>
          <table-wrap id="tbl7">
            <label>Table 7</label>
            <caption><title>Newey-west Regression Analysis Results of the Speed Model</title></caption>
            <table>
              <thead>
                <tr>
                  <th colspan="4">Dependent Variable: Bank Interest Rates (Newey-west)</th>
                  <th></th>
                </tr>
                <tr>
                  <th>Independent</th>
                  <th>Correlation</th>
                  <th>Standard</th>
                  <th>T Statistics</th>
                  <th>P Value</th>
                </tr>
                <tr>
                  <th>Variable</th>
                  <th>Coefficient</th>
                  <th>Deviation</th>
                  <th colspan="2"></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Intercept item</td>
                  <td>5.812833</td>
                  <td>0.140954</td>
                  <td>41.2393</td>
                  <td>0.0007</td>
                </tr>
                <tr>
                  <td>Boone Indicator</td>
                  <td>-0.017685</td>
                  <td>0.007965</td>
                  <td>-2.220332</td>
                  <td>0.0273</td>
                </tr>
                <tr>
                  <td>multiplies market</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>interest rates</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>Virtual variable</td>
                  <td>-2.799504</td>
                  <td>0.156414</td>
                  <td>-17.89808</td>
                  <td>0.0005</td>
                </tr>
                <tr>
                  <td>Virtual variable,</td>
                  <td>0.105759</td>
                  <td>0.010366</td>
                  <td>10.20277</td>
                  <td>0.002</td>
                </tr>
                <tr>
                  <td>Boone Indicator,</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>and market</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>interest rates</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>multiply together</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>R-squared</td>
                  <td></td>
                  <td>0.8692</td>
                  <td></td>
                  <td></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
        <sec id="sec2-6-6">
          <title>R-squared</title>
        </sec>
        <sec id="sec2-6-7">
          <label>4.3.3</label>
          <title>Interest Rate Indicator Pass-through Models of Taiwan and Mainland</title>
          <p>China The Boone Indicator refers to the spread of loan interest rates of banks minus the market interest rates in a competitive market. The Boone Indicator multiplies virtual variables to reach a positive coefficient, such as the ζ value in Eq. (3.3). This paper supposes that if Taiwan entered a developing country earlier than mainland China, the loan interest rates of Taiwan during the research period would be lower than those of mainland China. Hence, the spread of Taiwan should be smaller than that of mainland China; however, Table 8 shows that the spread (loan interest rates of banks minus market interest rates in the loan market) of mainland China is smaller than that of Taiwan, thus, H30 is rejected.</p>
          <table-wrap id="tbl8">
            <label>Table 8</label>
            <caption><title>Regression Analysis Results of the Spread Model</title></caption>
            <table>
              <thead>
                <tr>
                  <th colspan="5">Dependent Variable: Loan Interest Rates of Banks Minus Market Interest Rates</th>
                </tr>
                <tr>
                  <th></th>
                  <th colspan="2">(General Regression)</th>
                  <th colspan="2"></th>
                </tr>
                <tr>
                  <th>Independent</th>
                  <th>Correlation</th>
                  <th>Standard</th>
                  <th>T Statistics</th>
                  <th>P Value</th>
                </tr>
                <tr>
                  <th>Variable</th>
                  <th>Coefficient</th>
                  <th>Deviation</th>
                  <th colspan="2"></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Intercept</td>
                  <td>3.599982</td>
                  <td>0.061925</td>
                  <td>58.13471</td>
                  <td>0.0001</td>
                </tr>
                <tr>
                  <td>Boone Indicator</td>
                  <td>0.195465</td>
                  <td>0.017029</td>
                  <td>11.47845</td>
                  <td>0.000</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>-1.143672</td>
                  <td>0.080582</td>
                  <td>-14.19264</td>
                  <td>0.0001</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>-0.209357</td>
                  <td>0.020056</td>
                  <td>-10.43853</td>
                  <td>0.003</td>
                </tr>
                <tr>
                  <td>multiplies Boone</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>Indicator</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>R-squared</td>
                  <td></td>
                  <td>0.4796 In order to prevent model distortion, Newey-west regression is tested.</td>
                  <td></td>
                  <td></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Dependent Variable: Loan Interest Rates of Banks Minus Market Interest Rates (General Regression) Independent Variable</p>
          <p>Correlation Coefficient</p>
          <p>Standard Deviation</p>
          <p>T Statistics</p>
          <p>P Value</p>
          <p>Intercept</p>
          <p>Boone Indicator</p>
          <p>Dummy variable</p>
          <p>Dummy variable multiplies Boone Indicator</p>
        </sec>
        <sec id="sec2-6-8">
          <title>R-squared</title>
          <p>In order to prevent model distortion, Newey-west regression is tested. Table 9 shows the test of the Spread Model. The results reject the null hypothesis that Taiwan is more competitive than mainland China, and that the former's spread is smaller than that of the latter. The market in mainland China is more competitive than Taiwan, thus, the former's spread is smaller than that of the latter, and therefore H30 is rejected.</p>
          <p>Study of the Markets of Mainland China and Taiwan: 73-88</p>
          <table-wrap id="tbl9">
            <label>Table 9</label>
            <caption><title>Newey-West Regression Analysis Results of the Spread Model</title></caption>
            <table>
              <thead>
                <tr>
                  <th colspan="4">Dependent Variable: Loan Interest Rates of Banks Minus Market Interest Rates</th>
                  <th></th>
                </tr>
                <tr>
                  <th></th>
                  <th colspan="2">(Newey-west)</th>
                  <th colspan="2"></th>
                </tr>
                <tr>
                  <th>Independent</th>
                  <th>Correlation</th>
                  <th>Standard</th>
                  <th>T Statistics</th>
                  <th>P Value</th>
                </tr>
                <tr>
                  <th>Variable</th>
                  <th>Coefficient</th>
                  <th>Deviation</th>
                  <th colspan="2"></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Intercept</td>
                  <td>3.599982</td>
                  <td>0.127965</td>
                  <td>28.13257</td>
                  <td>0.0007</td>
                </tr>
                <tr>
                  <td>Boone Indicator</td>
                  <td>0.195465</td>
                  <td>0.03238</td>
                  <td>6.036665</td>
                  <td>0.0002</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>-1.143672</td>
                  <td>0.131338</td>
                  <td>-8.707852</td>
                  <td>0.0005</td>
                </tr>
                <tr>
                  <td>Dummy variable</td>
                  <td>-0.209357</td>
                  <td>0.032782</td>
                  <td>-6.386281</td>
                  <td>0.002</td>
                </tr>
                <tr>
                  <td>multiplies Boone</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>Indicator</td>
                  <td></td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
                <tr>
                  <td>R-squared</td>
                  <td></td>
                  <td>0.4796</td>
                  <td></td>
                  <td></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Dependent Variable: Loan Interest Rates of Banks Minus Market Interest Rates (Newey-west) Independent Variable</p>
          <p>Correlation Coefficient</p>
          <p>Standard Deviation</p>
          <p>T Statistics</p>
          <p>P Value</p>
          <p>Intercept</p>
          <p>Boone Indicator</p>
          <p>Dummy variable</p>
          <p>Dummy variable multiplies Boone Indicator</p>
        </sec>
        <sec id="sec2-6-9">
          <title>R-squared</title>
        </sec>
        <sec id="sec2-6-10">
          <title>Empirical Results</title>
          <p>Based on the robustness analysis, this paper reached the following conclusions. Eq. (3.1b) in the Boone Model of Hypothesis 1 assumes that Taiwan is more competitive than mainland China. However, the results showed the opposite. Eq. (3.3) in the Spread Model of Hypothesis 2 assumes that the spread of the loan market of Taiwan is smaller than that of mainland China. However, the result indicated the opposite. Eq. (3.2c) in the Speed Model of Hypothesis 3 assumes that the pass-through speed of Taiwan is faster than that of mainland China. However, the result revealed the opposite. 5.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec3">
      <title>Conclusion and Suggestion</title>
      <p>China’s loan market is more competitive which implies a lower spread; in other words, competition may lower interest rates. However, bank competition may lead to more dangerous behavior, resulting in financial turmoil. There is no recent literature that explored in depth the correlation between bank competition and interest rates in emerging markets. Some literature adopted the Lerner indicator, a traditional indicator and Panzar-Rosse H statistics or HHI concentration, which are limited by the regulations of the interest rate system, and thus, fail to effectively assess bank competition. Van Leuvensteijn et al. (2013) assessed the competition among banks in China, and deemed that the Boone Indicator was the best way to assess such competition. However, the Boone Indicator is a relatively immature tool, and is not supported by literature. Therefore, this paper adopted the Boone Indicator to compare bank competition in the markets of mainland China and Taiwan, and reached three important empirical conclusions, which can be compared with Leuvensteijn, Bikker, Adrian, Rixtel and Sorensen (2013), Cottarelli and Kourelis (1994), and Borio and Fritz (1995). During the research period, the loan interest rates of Taiwan were lower than those of mainland China; however, the deregulation of Taiwan was earlier than that of mainland China. Theoretically, the loan market of Taiwan should be more competitive than that of mainland China. However, the empirical results indicated that, the competition among banks in the loan market of mainland China is more intense than that of Taiwan. In addition, China has smaller spread and faster pass-through speed than Taiwan, which is consistent with Klein (1971). The results of this paper could serve as complementary reference for literature on the Boone Indicator. Overall, after comparing the empirical analysis results with the MundellFlemming model, we can see that China adopts a fixed exchange rate system featuring high interest rate sensitivity, fast regulation and small implicit LM slope. When the People’s Bank of China adopts an expansionary monetary policy, global imbalances would be adjusted through foreign exchange reserves, without impacting on long-term balanced national income. In contrast, the Taiwan market features low interest rate sensitivity and slow regulation. As the Taiwan market adopts a floating exchange rate, global imbalances as a result of expansionary monetary policy would be improved through devaluation, leading to significant increase in long-term balanced GDP. Even so, based on policy dynamics of the Mundell-Flemming model, national income growth is possible for both Mainland China and the Taiwan market, if fiscal policy is followed.</p>
    </sec>
  </body>
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