علام.pdf

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 2012 ربوتك ة س � حم ل بيةرعل ا  ةج ا158 ìÉHQC ’G IOƒLh IQGOE G ‘ ÉgôKC Gh ¿OQC ’G ‘ «bóàdG IOƒL   ص   ا ندر أ ا مل ا ه ص   ا ع ص  ل ا ك ص  ل ا ةراد إ  ص � ر  ى م  ص   ص � ا  إ  ص � ارل ا  ه ت  مال ا ىح إ ث أ ت  س  ف و , ح ن  م  ف بر أ  ةد ج ىم و , رب أ ا ةراد إ   ع  ص  ر ب جر ا  م ترا و , قل ا  م  ح قل ا ةد ج س  ئ ص   خ   ا و , ص � ر ا  ت  ع ةث ؤ ا ( ل ا ع ص    س   ص  لا و , قل ا ت أا و , ل ب ح ا ةف و , ع ق ت ت   ل ا ن ب  ج   , ص � ارل ا اه أ ا   ج أ ا م و تد ج  ص   و بر أ ا رةاد إ  ص � ر   س   ت   Logistic رخ ا ا ص � ا    ص � رال ا ذ  يل و (2006-2001  ةل ا  خ ك   (45  ي ب نل ا ت ت    أ ا  ب (Ordinary Least Squares OLS  رخا و (Regression  ك ص  ل ا  أ ا  إ  ص � ارل ا ئ ن ر ص  أ ا ق و ,(Pooled Data Regression  ص   ا ران ا      خ بر أ ا ةراد إ  ص � ر  م ق  ق  ع  ص  ر ب جر ا ندر أ ا مل ا ه ص   ا ع ص  ل ا ةد ج  س  ئ ص    ث أ ا    و , ك ص  ل ا  ه بر أ ا ةد ج ث إ  ص � رال ا  ص   ت    ك , ص � ارل ا ا ص �  ةد ج  ح  ؤو ص   ت ئل ا  ه ت و , تد ج  ص    و أ ا رب أ ا ةراد إ  ص � ر   م  ا    ل ا ذت ا    ع دع ا نم إ ىم و ك ص  ل ا  ق  م  ا ل ا نل ا دةج و در أ ا    ل ا . ارال ا . ندر أ ا ع ص  ل ا ك ص  ل ا بر أ ا دة ج رب أ ا ةردا إ  ص   ا قل ا ةد ج : لا ال كل ا. يل ا   , ه ا م ا - ع ص   م ذ ص � أ ا* . ـ ل , يب ا  م ب ص  ل ا م ج - ع ص   م ذ ص � أ ا**  * ا ح  ص � م    ع . د ** ع ب أ ا   د ع . د

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  • 851 2102

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  • - 159

    *

    Auditing Quality in Jordan and Its Impact on Earnings Management and Earnings Quality

    AbstractThis study aims to investigate the existence of earnings management practices and earnings quality in the industrial public companies listed in Amman Stock Exchange (ASE), and tests the impact of auditing quality characteristics (the audit office size, the connection with other global offices, the client retention period, the auditing fees and the specialty in clients industry) on reducing earnings management practices, and enhancement earnings quality. Towards realizing the objectives of the study, the relationship was estimated and examined through the Logistic Regression (LR) test, and Ordinary Least Squares (OLS). Data of 45 companies of the industrial sector for the period 2001--2006 were arranged in a way that makes it possible to apply the (Pooled Data Regression). The most important conclusion of the study was that the industrial public companies listed in (ASE) have practiced earnings management each year in the study period, and the study cannot prove the earnings quality in the companies of the industrial sector. The study found no effect of the characteristics of the audit quality on reducing the earnings management, or enhancement the earnings quality. These results raise questions about the quality of auditing in Jordan, and the quality of financial statements disclosed by companies, and its usefulness in decision-making Keywords: Auditing Quality; the Accruals; Earnings Management;Earnings Quality; Industrial Jordanian companies.

    *Assistant Professor - Ahlia University, Kingdom of Bahrain**Assistant Professor - University of Seventh of April , Libya

    Dr. Allam Mohammed Mousa Hamdan*Dr. Imad Mohammed Abu Ijela**

  • 061 2102

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  • 161 -

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  • 261 2102

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  • 361 -

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  • 461 2102

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    t,ieziS7 + t,iforp6 + t,iseeF5 + t,ipeeK4 + t,ilabolG3 +t,i5giB2 + 1=t,iME

    )1(.............. t,i e + oitaRrruC01 + t,iIOR9 + t,iegareveL8 +

    :

    t,iME: : (1( (0( i t.

    1: , .

    01,..2: .

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  • 661 2102

    t,i5giB: , : (1) (0), i t.

    t,ilabolG: , : (1) (0), i t.

    t,ipeeK: , : (3) (1) (0), i t.

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    t,iforP: , , (1) (0) i t.

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    t,ioitaRrruC: : / i t.

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    (2)...........t,i e + oitaRrruC 01 + t,iIOR 9 + t,iegareveL 8 +

    :

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  • 761 -

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    - (slaurccA latoT) , :

    (3) ........................... t,iFCO - t,iIN = t,iCCAT

    :

    t,iCCAT: i, t. t,iIN: i, t.

    t,iFCO : i, t.

  • 861 2102

    - (3,2,1( :

    t,iCCAT: i, t.1-t,iA : i, 1-t.

    t,iVER : i, t, 1-t.

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    - (slaurccA lamroN) (3,2,1( :

    t,iCCAN: i, t. , lamronbA

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    t,iCCANA: i, t.

    t,ie

    1-t,iA 1 = t,iCCAN1

    )5( ................. ) t,iEPP( 3 + ) t,iCER - t,iVER) 2 +

    CCAT1-t,iA

    1 + =11-t,iA

    2 + t,iCER - t,iVER

    1-t,iA3 +

    t,iEPP1-t,iA

    t,i)4(........... t,ie +

  • 961 -

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    (1(

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    (selbairav ymmuD) .

  • 071 2102

    tseT ytiraenillocitluM

    MLG ledoM raeniL lareneG (ycnednepednI), , ( , 3002) (scitsongaiD ytiraenilloC), (ecnareloT) , FIV rotcaF noitaflnI ecnairaV , (, 3002) (FIV) (5) . (1) (FIV)

    (5) .

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  • 171 -

    (1)

    selbairaVnoitalerrocotuA ytiraenillocitluM noitubirtsiD lamroN

    -euqraJnostaW nibruD FIV ecnareloT eulav-P areB

    -- 031.1 588.0 -- -- 5giB

    -- 731.1 978.0 -- -- labolG

    -- 494.1 966.0 -- -- peeK

    -- 560.1 939.0 000.0 1201 seeF

    -- 073.1 037.0 -- -- lanoisseforP

    ynapmoC -- 921.1 688.0 000.0 8299 eziS

    laicnaniF -- 724.1 107.0 000.0 44 egareveL

    -- 030.1 179.0 000.0 03921 IOR

    tnerruC -- 284.1 576.0 000.0 337 noitaR

    sgninraE 704.2 -- -- -- -- tnemeganaM

    lamronbA 128.1 -- -- 000.0 329774 slaurccA

    ( 1,2( 1,i ,2,i 12 , 22, , t,iQE ,t,iME ,1,i

    2,i 12 , 22 :

    ) t,iseeF( e 5 + ) t,ipeeK( e 4 + ) t,ilabolG( e 3 + ) t,i5giB( e 2 + 1

    ) t,iIOR( e9 + ) t,iegareveL( e8 + ) t,ieziS( e7 + ) t,ilanoisseforp( e6 +

    (7).......... 0 + )oitaRrruC( e01 +

    1,i ,2,i n,,2,1 = i.

  • 271 2102

    (2) , , (1) , (0)

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    sraeYlamronbA

    slaurccA

    tnemeganaM sgninraE

    latoT 0 1tnecreP .qerF tnecreP .qerF

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    54 %44 02 %65 52 0.931,915,2- 2002

    54 %46 92 %63 61 0.779,200,2- 3002

    54 %24 91 %85 62 7.623 4002

    54 %89 44 %2 1 1.074,09 5002

    54 %83 71 %26 82 0.912,566,3 6002

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  • 371 -

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    tnerruC noitaR

    777.2 946.2 720.23 024,983,72 380,9 1002

    553.3 707.3 875.13 958,880,92 763,9 2002

    334.3 757.2 831.33 386,597,13 431,11 3002

    781.3 914.3- 248.13 091,420,95 867,11 4002

    216.3 297.5 192.82 276,773,07 419,11 5002

    315.3 291.4 615.82 225,339,24 438,21 6002

    * , $104.1 = DJ1

    (3) 380,9 1002, 6002 438,21 . 1002 5002 %93 6002, , 3002 %82. 5002 4002 %4.3-, 1:2

    5002 .

  • 471 2102

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    (4)

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    labolgot dekniL-noN labolg ot dekniL 5giB-noN 5giB

    tnecreP .qerF tnecreP .qerF tnecreP .qerF tnecreP .qerF

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    %96 13 %13 41 %13 41 %96 13 2002

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    %96 13 %13 41 %42 11 %67 43 4002

    %17 23 %92 31 %33 51 %76 03 5002

    %17 23 %92 31 %83 71 %26 82 6002

    sraeY

    lanoisseforP peeK

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    3 naht sseL dezilaiceps-noN sezilaicepS sraey

    tnecreP .qerF tnecreP .qerF tnecreP .qerF tnecreP .qerF

    %72 21 %37 33 %31 6 %78 93 1002

    %72 21 %37 33 %9 4 %19 14 2002

    %72 21 %37 33 %2 1 %89 44 3002

    %72 21 %37 33 %4 2 %69 34 4002

    %72 21 %37 33 %4 2 %69 34 5002

    %72 21 %37 33 %31 6 %78 93 6002

    (4( , 6002, (, 5002 , 6002(. ,

  • 571 -

    . , 3002 , (4) 3002 6002,1002.

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    eulav-P tnecreP .qerF tnemeganaM sgninraE

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    %44 911 1 yrogetaC

    %001 072 latoT

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    5.0=)ME -noN(p =q dna ,5.0=)ME(P=P :oH)8(......... 5.0>)ME(P:1H

  • 671 2102

    (11)

    (5) (151) (911) 1002-6002, (tseT laimoniB) %5, , : ;5002 ,yrreT & gnaiQ ;6002 ,.la te nooY ;7002 ,timmuS ;0102 ,nadmaH

    3002 ,yasmaR & dnalloH ;3002 ,.la te eloirO .

    ( , 9002 te snikneJ 2002 ,vehciD & wohceD ;2002 ,.la te sicnarF ;6002 ,.la) , & reppihcS ;6002 ,yttaeB & orumatlA 3002 ,tnecniV) (6991 ,naolS) . (4002 ,.la te nosdrahciR)

    :

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    2: . t,iCCAT: (i) (t).

    0 < (1-2) (1 < 2)

    (9) :

    (9) :

    (11)

    (9)........................ 1+t,iV + t,iCCAT 2 +(t,iCCAT -t,iIOR)1 +0 =1+t,iIOR

    (01)........................ 1+t,i V +t,iCCAT 2p +t,iIOR1p +0p =1+t,iIOR

    (11)........................ 1+t,iV + t,iCCAT (1 -2 (+(t,iIOR)1 +0 =1+t,iIOR

  • 771 -

    1 = 1 ( 1-2) = 2 (2-1( (9(, 0 < 2 . (noissergeR elpitluM) (tsaeL yranidrO

    SLO serauqS) (01), (6).

    (6)

    sraeYtneicfifeoC tnatsnoC

    eulav-P eulav-F2 1 0

    250.0 571.3 100.0- 773.0 727.1 1002

    000.0 441.35 000.0 487.0 365.1 2002

    000.0 309.02 000.0 709.0 392.0- 3002

    700.0 056.5 010.0- 244.0 838.2 4002000.0 586.9 210.0- 104.0 310.4 5002000.0 046.11 000.0 546.0 324.0 6002

    * F %5 ( p p = 2(, ( 1- -n 24=1-2-54(

    F 50.0 80.4 10.0 13.7

    (6) 1002 0 < (1-2) = 2 , (1002) , , (2) (slaurccA lamronbA) , 61 1002. 2002 0 > 2 (2) 52 %65. 3002 (6) 0 > 2. 4002-5002 (2) (6) 0 < 2

    1+t,i +t,iCCAT 2p +t,iIOR1p +0p =1+t,iIOR

  • 871 2102

    , 6002 (2( 82 %26 ,

    (6) .

    (5991 ,senoJ) (4002 ,.la te nosdrahciR) , , , , ,

    .

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    (1) . , (6002 ,.la te nehC ;8991 ,.la te einnoC) , , (7) . ,

  • 971 -

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    .

  • 2012 180

    )7(

    Variables

    Model 1 (N = 270) Model 2 (N = 270)

    Expected sign

    Coefficient ()

    z-statistic

    p-value

    Coefficient (

    )

    t-statistic

    p-value

    Big5-

    -0.047 -0.171 0.864 0.283 2.055 0.041*

    Global - 0.202 0.692 0.489 -0.199 -1.215 0.225

    Keep + -0.294 -0.667 0.505 -0.219 -1.193 0.234

    Fees +/- 0.000 -0.176 0.860 0.112 0.596 0.551

    Professional - 0.205 0.618 0.537 0.554 0.791 0.430

    Size +/- 0.000 -0.262 0.793 -0.130 -1.385 0.167

    FinancialLeverage +/- -0.005 -0.797 0.426 0.141 1.965 0.051

    *

    ROI +/- -0.001 -0.062 0.950 0.197 0.598 0.551

    CurrentRation +/- 0.007 0.174 0.862 0.712 1.593 0.112

    0.01 ** , 0.05 *

    1.650 95% Z White Heteroskedasticity

    1-9-270 p , n n p -1 ( 5% t 1.282 (260 =

    EMi,t=1-0.047Big5i,t+0.202Globali,t - 0.294Keepi,t + 0.000Feesi,t + 0.205profi,t + 0.000Sizei,t- 0.005Leveragei,t - 0.001ROIi,t +0.007 CurrRatio + e i,tEQi,t=1-0.283Big5i,t- 0.199Globali,t - 0.219Keepi,t + 0.112Feesi,t + 0.554profi,t -0.130Sizei,t+ 0.141Leveragei,t - 0.197ROIi,t + 0.712 CurrRatio + e i,t

  • 181 -

    , . (1002-6002) , , , , , , . , , . , , ,

    .

  • 281 2102

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    eTh .4002 .cicuL uaetruoC dna ,ihckarraM adnoS uoruothC ,naeJ dradeB ,tnemeganaM sgninraE evissergga no esitrepxe eettimmoC tiduA fo tceffe.53- 31 :(2) 32 ,yroeTh & ecitcarP fo lanruoJ A :gnitiduA

    ot emiT stI :ytilauQ sgninraE .5002 .D leahciM & ,.E noD ,.J yravolleB.73 -23 pp ,rebmevoN ,lanruoJ APC eht ,tropeR dna erusaeM

    laicnaniF ,yroeTh dna ecitcarP :stsylanA laicnaniF fo ydutS A .9991 .S ,kcolB. 59 -68 :(4) 55 ,lanruoJ stsylanA

    evitceffE dna tnednepednI fo ecneuflnI eTh .4002 .S ,sariT & ,.C ,uiL ,.D ,nayrB.nrss//:ptth :NRSS ta elbaliavA ,ytilauQ sgninraE no seettimmoC tiduA280884=tcartsba/moc

    pu-gnidnuoR sgninraE no ytilauQ tiduA fo tcapmI eTh .4002 .T ,mehgenaC 177 :(4) 31 ,weiveR gnitnuoccA naeporuE .ecnedivE KU emoS :roivaheB. 687-

  • - 183

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    Earnings Management: Additional Evidence. Rutgers University. Available at: www.aaahq.org/audit/midyear.

    Francis J., LaFond R., Olsson P., & Schipper K. 2002. The Market Pricing of Earnings Quality, Available at SSRN: http://ssrn.com/abstract=414140 or doi:10.2139/ssrn.414140

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    Holland D., & Ramsay A. 2003. Do Australian companies manage earnings to meet simple earnings benchmarks? Journal of Accounting and Finance, 43 )1(: 41 -62.

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