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    The inuence of the introduction of accounting disclosure regulation

    on mandatory disclosure compliance: Evidence from Jordan

    Mahmoud Al-Akra a, Ian A. Eddie b, Muhammad Jahangir Ali c,*

    a New England School of Business, Economics and Public Policy, University of New England, Armidale, NSW 2351, Australiab Graduate College of Management, Southern Cross University, Tweed Gold Coast Campus, Brett Street, Tweed Heads 2485, Australiac School of Accounting, La Trobe University, Victoria 3086, Australia

    a r t i c l e i n f o

    Article history:

    Received 4 April 2008

    Received in revised form 9 March 2010

    Accepted 10 March 2010

    Keywords:

    Accounting in Jordan

    Disclosure regulation

    Governance reforms

    Mandatory disclosure

    Privatisation

    a b s t r a c t

    This paper examines the inuence of accounting disclosure regulation, governance reforms

    and ownership changes, resulting from privatisation, on mandatory disclosure compliance

    of a sample of 80 non-nancial, listed Jordanian companies for the years 1996 and 2004.

    Employing two checklists based on the International Financial Reporting Standards (IFRS)

    extant in the years 1996 and 2004, we nd that disclosure compliance with the IFRS is

    signicantly higher in 2004 than that in 1996. Our multiple regression results indicate that

    disclosure regulation reforms produced the most signicant inuence on mandatory

    disclosure compliance. Further, governance reforms through the mandate of audit

    committees emerged as a signicant determinant of compliance with mandatory disclo-

    sure requirements.

    2010 Elsevier Ltd. All rights reserved.

    1. Introduction

    We examine the inuence of accounting disclosure regulation, governance reforms and ownership changes, resulting from

    privatisation, on mandatory disclosure compliance of Jordanian listed companies. Privatisation is dened as the deliberate

    sale by a government of state-owned enterprises (SOEs) or assets to private economic agents(Megginson & Netter 2001, p.

    321). It is argued that the effectiveness of privatisation in achieving its objectives is largely dependent on the efciency of

    accounting systems and audit methodologies (Enthoven, 1998). However, the outdated accounting systems of developing

    countries undermine the achievement of the objectives of privatisation. Hence, most privatising governments have under-

    taken capital market reforms to attract, and gain the condence of, investors (Megginson & Netter, 2001; Shehadi, 2002).

    The adoption of high quality standards is vital to attract foreign investors and mobilise domestic savings. Improving

    disclosure practices to more internationally acceptable and comparable accounting standards is very important for countries

    undertaking privatisation programs. Therefore, privatising governments revamp their accounting policies and enact newaccounting regulations that would enable the enforcement of International Financial Reporting Standards (IFRS).

    Nevertheless, global disclosure standards are optimal only if compliance is monitored and enforced by efcient institu-

    tions (Healy & Palepu, 2001).Walker (1987)contends that the use of regulation as an enforcement mechanism to monitor

    compliance and impose punishments in cases of non-compliance would improve the implementation of accounting stan-

    dards and enhance compliance levels. Companies do not comply with mandatory requirements unless stringent regulation is

    in place. A regulation is dened as stringent if it allows only one outcome, has an adequate enforcement mechanism, and

    sanctions for non-compliance(Owusu-Ansah & Yeoh, 2005, p. 92).

    * Corresponding author. Tel.: 61 03 9479 5177; fax: 61 03 9479 2356.

    E-mail addresses: [email protected](M. Al-Akra), [email protected](I.A. Eddie),[email protected](M.J. Ali).

    Contents lists available atScienceDirect

    The British Accounting Review

    j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / b a r

    0890-8389/$

    see front matter

    2010 Elsevier Ltd. All rights reserved.doi:10.1016/j.bar.2010.04.001

    The British Accounting Review 42 (2010) 170186

    mailto:[email protected]:[email protected]:[email protected]://www.sciencedirect.com/science/journal/08908389http://www.elsevier.com/locate/barhttp://www.elsevier.com/locate/barhttp://www.sciencedirect.com/science/journal/08908389mailto:[email protected]:[email protected]:[email protected]
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    Moreover, privatisation causes major shifts in ownership from the state to private owners, signi cantly altering the

    ownership structure ofrms and dramatically increasing the number of shareholders in privatising countries ( Boutchkova &

    Megginson, 2000).Eng and Mak (2003)argue that ownership structure determines the level of monitoring and, thereby, the

    level of disclosure. For example, foreign investors monitor management closely and require high standards of information

    disclosure (Dyck, 2001).

    In 1997, Jordan launched an ambitious privatisation program. To ensure the success of the privatisation process, Jordan

    enacted the 1997 Company Law, the 1997 Temporary Securities Law and the 2002 Securities Law ( ASE, 2007). These laws

    reformed the Jordanian corporate governance framework, and introduced IFRS and enforcement mechanisms. Privatisation

    also led to a decline in Jordanian government ownership from 1% prior to privatisation to less than 6% of the total shares of

    public listed companies following privatisation.

    Prior to the enactment of these laws, accounting practice of Jordanian companies satised only the formalities of outdated

    law requirements, with no set form or content for nancial statements. In addition, there was no legally established

    accounting and auditing standard setting body. The process of regulating accounting practice was purely governmental (the

    Ministry of Industry and Trade) with a very minor role for the private sector via the Jordanian Association of Certied Public

    Accountants (JACPA). In 1989, the JACPA recommended that Jordanian rms adopt IFRS effective from January 1990.

    The 1997 Company Law and the 2002 Securities Law were essentially enacted to enhance the enforceability of IFRS. There

    was a change from a state where the use of the IFRS was voluntary to one where the use of IFRS was statutorily required and

    non-compliance was illegal. Further, these laws introduced the Jordanian governance framework which focused on

    strengthening legal investor protection and emphasised the board of directors responsibilities in ensuring compliance with

    mandatory requirements.

    The aim of this paper is empirically to investigate the impact of privatisation, through the resulting disclosure regulation,

    governance reforms and ownership changes, on mandatory disclosure compliance with IFRS of Jordanian listed companies.

    The paper also examines the impact of key company attributes on mandatory disclosure compliance.

    As discussed earlier, privatisation results in major changes in the ownership structure ofrms. Further, evidence from

    privatisation research suggests that privatisation prompts countries, particularly developing ones, to signicantly change

    their governance systems and revamp their disclosure regulation (Megginson & Netter 2001). Limited disclosure research (see

    Dahawy, Merino & Conover, 2002; Abd-Elsalam & Weetman, 2003; Abd-Elsalam & Weetman, 2007; Dahawy & Conover, 2007)

    provides some evidence on the role of privatisation in improving disclosure practice, through examining the impact of the

    adoption of IFRS on mandatory disclosure compliance. However, these studies do not examine the impact of other changes

    that result from privatisation, particularly governance reforms and ownership changes. Therefore, our study contributes to

    the disclosure literature in four important ways. First, we extend previous studies by investigating the impact of privatisation

    through evaluation of the joint inuence of disclosure regulation, governance reforms and ownership changes on mandatory

    disclosure compliance of Jordanian listed companies. This is possible because privatisation provides the experimental

    environment to examine the inuence of all these variables that do not occur normally. Second, the study aims to ascertain

    the effectiveness of the use of accounting regulation to enhance mandatory disclosure compliance. Third, there are trends in

    corporate governance codes that are spreading to countries around the world, yet very little research has examined the

    degree of compliance with these codes and the impact of such compliance on disclosure practices. Finally, a number of

    countries in the Middle Eastern region (for example, Bahrain, Egypt, Kuwait, Qatar, Saudi Arabia, Tunisia and the United Arab

    Emirates) have used regulation to enforce compliance with accounting standards. Hence, a study of the inuence of regu-

    latory reforms on corporate disclosure in the Middle Eastern region, and specically Jordan, provides insights into the factors

    driving disclosure practices in these countries.

    We use a sample based on annual reports for the years 1996 and 2004 of 80 non-nancial, listed Jordanian companies.

    Utilising two checklists for the years 1996 and 2004, we develop a disclosure index (MDI) based on IFRS extant in each year.

    We incorporate panel data estimation techniques to account for the dynamic effects of the factors under study. We use

    univariate testing and cross-sectional regression models, and conclude that accounting regulatory reforms in Jordan have

    positively inuenced mandatory disclosure compliance of Jordanian listed companies through the mandate of audit

    committees and disclosure regulation reforms.

    The remainder of this paper is structured as follows. The next section offers an overview of the Jordanian regulatory

    reforms. Section3discusses the newly developed governance rules in Jordan in comparison with the OECD governance code.

    Section4 outlines our hypotheses and Section5 presents the methodology for testing our hypotheses. Section6 describes the

    empirical results. A conclusion follows.

    2. Recent reforms of accounting regulation

    2.1. The 1997 Company Law

    Therst Company Law (Law No. 12) enacted in Jordan in 1964, was loosely stated and very limited in scope (Solas, 1994;

    Abu-Nassar & Rutherford, 1996). The 1997 Company Law No. 22 was enacted requiring public companies to prepare their

    accounts in accordance with the International Accounting and Auditing Standards. It also laid down the governance policy

    framework focusing, in particular, on mandating the appointment of at least three non-executive directors on the board,

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    mandating the formation of audit committees and stating that the size of the board should be comprised of a minimum of

    three and a maximum of 13 directors (seeTable 1).

    2.2. The 1997 Temporary Securities Law

    Prior to 1997, listed companies were required to adhere to the requirements of Amman Financial Market (AFM) law. 1

    However, AFM did not issue any requirements on the form and content of companies accounts (Rawashdeh, 2003). The

    enactment of the Temporary Securities Law No. 23 of the year 1997 was aimed at restructuring and regulating the Jordanian

    capital market in conformity with International Accounting Standards in order to secure transparency and safe trading in

    securities (ASE, 2007). The Law led to the establishment of three new institutions to replace the AFM, namely: the JordanSecurities Commission (JSC), the Amman Stock Exchange (ASE) and the Securities Depository Centre (SDC).2

    2.3. The 2002 Securities Law

    The enactment of the 2002 Securities Law provided for stringent enforcement of rules through articles strengthening the

    powersof the JSC, the ASE and the SDC (ASE, 2007). According to these articles, the JSC has the power to imposenes, suspend

    trading or delist non-complying issuers (see Table 1).3 Further, the 2002 Securities Law required all entities to fully comply

    Table 1

    Recent accounting regulatory reforms and responsible government agencies.

    Law/recommendation Private/governmental

    agency

    Major aims of the

    law/recommendation

    Recommendation 1989 JACPA (Private) All Jordanian companies are encouraged voluntarily to

    adopt IFRS effective from January 1990.

    Company Law 1997 Ministry of

    Industry and Trade

    (The Company

    Controller)

    All public shareholding accounts kept in accordance

    with the International Accounting and Auditing Standards. All annual reports must be audited by an external auditor.

    Listed companies are required to appoint three non-executive

    directors and to form audit committees comprising three

    non-executive directors.

    Boards have a minimum of three and a maximum of thirteen directors.

    The Company Controller has the authority to dissolve

    a companys board or revoke its registration in cases of non-compliance.

    Temporary Securities

    Law 1997

    Prime Ministry Setting up three new institutions to replace AFM, namely: Jordan

    Securities Commission (JSC), Amman Stock Exchange (ASE) and

    the Securities Depository Centre (SDC).

    The separation of the supervisory and legislative role

    from the executive role of the capital market. Supervisory and

    legislative role entrusted to JSC. Executive role left to the

    private sector, ASE and SDC.

    Securities Law 2 002 Jordan Securities

    Commission The JSC staff are responsible for reviewing the quality of

    disclosure of the annual reports; however their review is

    not comprehensive.

    JSC can impose nes, suspend trading or delist issuers,

    has strong investigative powers.

    Strengthened the powers of JSC, ASE and SDC.

    Listed companies must comply with the International Financial

    Reporting Standards in the preparation of their nancial statements.

    The audit committee responsibilities identied including the

    nomination of external auditors, ensuring that they full the

    requirements of JSC, ensuring their independence, monitoring

    corporate compliance with the Securities Law requirements

    (which is compliance with IFRS), examining the periodic

    nancial reports, and reviewing the internal control procedures.

    1 Article 17 of Amman Financial Market (AFM) Law No. 31 of the year 1976 required listed companies to disclose their performance which is likely to

    affect share prices (Naser, 1998; Naser & Al-Khatib, 2000).2 These three institutions are responsible for setting and enforcing regulations, monitoring and regulating market trading and ultimately restoring

    investors

    con

    dence in the Jordanian capital market (JSC, 2007).3 In 2003, JSC instituted 356 enforcement actions mostly for lack of proper disclosure (ROSC, 2005).

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    with IFRS requirements in preparation of their annual reports, and le annual audited reports at the JSC. Also, this law

    required listed entities to form audit committees of three non-executives (see Table 1). The JSC staff is responsible for

    reviewing the quality of disclosure in the annual reports, however their review is not comprehensive (ROSC, 2005).

    3. Jordanian corporate governance: comparative analysis with OECD code

    In line with international trends that came about as a result of nancial crises, a number of governance codes were

    developed worldwide. Jordan has developed its corporate governance framework under the sponsorship of the Organization

    for Economic Cooperation and Development (OECD). The following sections discuss the OECD principles briey and Jordans

    degree of compliance and areas of non-compliance.

    3.1. The rights of shareholders

    The rst principle of the OECD governance code includes basic shareholder rights to participate in fundamental decisions;

    shareholders AGM rights; disproportionate control disclosure; the market for corporate control; and shareholders consid-

    eration of the cost/benet of voting. While the 1997 Company Law generally complies with the recommendations of this

    principle, there are no guidelines about share authentication and settlement, proportional representation, regulating take-

    over bids and the encouragement of institutional investors in Jordanian company law ( ROSC, 2005; Sharar, 2007).

    3.2. Equitable treatment of shareholders

    This principle calls for the equitable treatment of all shareholders, the prohibition of insider trading and disclosure of any

    material interests in transactions affecting the corporation. Jordan complies partially with this principle, lacking adequate

    minority shareholder rights and having weak/unclear related-party transaction rules (Sharar, 2007; ROSC, 2005).

    3.3. Role of stakeholders in corporate governance

    This principle covers the following: respect for stakeholders rights; redress for violation of their rights; permission for

    performance-enhancing mechanisms for employees; stakeholdersrights to access relevant information; communication of

    concerns about illegal or unethical practice; and an effective insolvency framework. While the 1997 Company Law does not

    have a denition of what constitutes stakeholders, it provides for a number of legal protections. The law also does not have

    any provisions for the protection of whistleblowers (Sharar, 2007).

    3.4. General disclosure requirements

    This principle requires the timely disclosure of all material matters about the corporation; high standards for nancial

    reporting; conduct of an independent audit annually; effective channels for fair and timely dissemination of other corporate

    information; and provision of analysis and advice by external experts. Jordan generally complies with the principle

    mandating the use of IFRS, requiring all annual reports to be audited by an external auditor, and mandating audit committees.

    However, the monitoring function for nancial reporting is weak (ROSC, 2005).

    3.5. Responsibility of the Board

    The Board should full certain key functions including reviewing and guiding corporate strategy, selecting, compensating

    and monitoring executives, reviewing executives remunerations, managing conicts of interests of management, ensuring

    the integrity of the corporations accounting and nancial systems, monitoring the effectiveness of the governance practicesand overseeing the process of disclosure (ROSC, 2005). However, Jordanian law requires all directors to be shareholders,

    which jeopardises the independence of boards (Sharar, 2007).4

    4. Development of hypotheses

    4.1. Disclosure regulation

    In January 1990, and following the JACPA recommendations, many Jordanianrms adopted IFRS voluntarily (Rawashdeh,

    2003). The enactment of the 1997 Company Law, the 1997 Temporary Securities Law and the 2002 Securities Law were major

    changes in the disclosure regulatory environment in Jordan. These laws were aimed at ensuring the adoption and full

    4

    Jordan reformed its governance practices by establishing the Jordanian Corporate Governance Association (JCGA) with the aim of implementingeffective governance practices.

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    enforcement of IFRS by all Jordanian companies. Accordingly, these regulatory reforms changed voluntary compliance with

    the IFRS to mandatory compliance. Therefore, these laws are expected to enhance compliance with the IFRS.

    Empirical studies examining the impact of disclosure regulation on mandatory disclosure compliance are limited. Earlier

    studies focused mainly on the US, such asStigler (1961), Benston (1973) and Simon (1989).5 Later,Fox, Morck, Yeung and

    Durnev (2003)examined the inuence of an SEC disclosure rule imposed in 1980 on the accuracy of stock prices. Their

    results suggest that management provided more meaningful information because of the enhanced requirements. Bartlett and

    Jones (1997)andBeattie, Dhanani and Jones (2008)are two studies based on UK data. They report an increase in regulatory

    material in the annual reports of large, listed UK companies.

    Recent studies have shifted the focus to developing countries. Inchausti (1997) empirically investigates the inuence of the

    imposition of new Spanish accounting rules. She reports an increase in the levels of mandatory information disclosure even

    before the new rules became mandatory.Owusu-Ansah and Yeoh (2005)examine the effect of the introduction of the 1993

    Financial Reporting Act (FRA) on mandatory disclosure by New Zealand companies. The authors nd signicant improve-

    ments in mandatory disclosure compliance by New Zealand companies following the introduction of the FRA. Based on the

    above discussion, we formulate the following hypothesis (in the alternative form):

    Hypothesis 1: there is greater mandatory disclosure compliance of listed Jordanian companies after the introduction of the

    disclosure regulatory reforms than before.

    4.2. Corporate governance variables

    We investigate the association of the recently-mandated governance mechanisms (non-executive directors, audit

    committee and board size) with mandatory disclosure compliance of Jordanian listed companies.

    4.2.1. Non-executive directors

    Fama and Jensen (1983)contend that boards with a higher proportion of non-executive directors have greater monitoring

    ability over management, leading to more information disclosure.Eng and Mak (2003)suggest that the presence of outside

    directors may limit management opportunism. Further, non-executive directors are perceived as being respected advisors

    who should increase the quality of a rms disclosure (Haniffa & Cooke, 2002). Thendings of previous research support the

    positive inuence of non-executive directors on mandatory disclosure compliance ( Chen & Jaggi, 2000; Susilowati, Morris &

    Gray, 2005). Therefore, the following hypothesis is formulated:

    Hypothesis 2.1: there is a positive association between the number of non-executive directors on the board and mandatory

    disclosure compliance of Jordanian listed companies.

    4.2.2. The mandate of audit committees

    According to the 2002 Securities Law, audit committee members are responsible for monitoring corporate compliance

    with mandatory disclosure requirements. As such, we expect to nd that rms with audit committees have higher mandatory

    disclosure compliance.Susilowati et al. (2005)report a signicant, positive inuence of the appointment of audit committees

    on mandatory transparency scores. Therefore, it is hypothesised that:

    Hypothesis 2.2: there is a positive association between the presence of an audit committee and mandatory disclosure

    compliance of Jordanian listed companies.

    4.2.3. Board size

    Mak and Li (2001)argue that smaller boards are more likely to function effectively. John and Senbet (1998)argue that,

    while larger boards might imply higher monitoring capabilities, this might be offset by poorer communication and decision-

    making inefciencies. Empirical evidence relating to board size is scarce and is yet to nd an association between board size

    and corporate disclosure. Accordingly, we hypothesise that:

    Hypothesis 2.3: there is a negative association between the size of the board of directors and mandatory disclosure

    compliance of Jordanian listed companies.

    4.3. Ownership structure

    One of the major aims of privatisation is to improve the efciency of government-ownedrms (Mak & Li, 2001;Eng& Mak,

    2003). Managers of government-owned rms lack high-powered incentives or proper monitoring, thus leading to weak

    governance. Corporate governance can play a signicant role in ensuring the quality of the nancial reporting process. Chiang

    (2005)argues that companies with better corporate governance have higher standards of disclosure and transparency.

    Empirically, Eng and Mak (2003) and Cheng and Courtenay (2006) illustrate the signicant positive inuence of

    government ownership on corporate disclosure. In Jordan, Naser (1998), Naser and Al-Khatib (2000) and Naser, Al-Khatib and

    Karbhari (2002) examine the inuence of government ownership onnancial disclosure. Naser (1998) and Naser et al. (2002)

    did not nd any association between government ownership and the depth of disclosure by Jordanian rms, whileNaser and

    5 The results of these studies indicate that the mandatory disclosure of more meaningful information led to more accurate prices.

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    Al-Khatib (2000)report a positive and signicant inuence of government ownership on corporate disclosure. Therefore, it is

    not clear whether Jordanian rms with more government ownership disclose more or less than they would have otherwise.

    Therefore, our hypothesis is non-directional:

    Hypothesis 3.1: there is no association between the proportion of government ownership and mandatory disclosure

    compliance of Jordanian listed companies.

    Privatisation leads to the transfer of ownership from the government to private owners. Hence, the number of new

    shareholders increases signicantly, leading to a diffused ownership structure which results in increased agency costs

    (Boycko, Shleifer & Vishny, 1996). To alleviate these agency costs, managers might increase their information disclosure so

    that owners can monitor their interests in the rm. An alternative view is that diffused ownership may imply a lack of

    monitoring capacity due to low ownership stakes of individual owners, reducing their inuence on the companys disclosure

    practices. Jordanian studies (Naser & Al-Khatib, 2000; Naser et al., 2002) nd a negative association between individual

    ownership and disclosure. Naser and Al-Khatib (2000) argue that Jordanian investors are not sophisticated and their

    investment decisions are uninformed and they exert little inuence on disclosure quality.

    Institutional investors are part of the post-privatisation ownership structure. Institutional investors are major holders of

    equity and their decisions to buy or sell can affect share prices and management disclosure policies (El-Gazzar, 1998). In

    Jordan, however, institutions are either passive or related to a controlling family (ROSC, 2005) implying that they would likely

    be associated with lower disclosure. The evidence pertaining to Jordanian individual and institutional investors does not

    provide clear evidence on their association with disclosure, hence, we use non-directional hypotheses for these two types of

    ownership:

    Hypothesis 3.2a: there is no association between the proportion of individual ownership and mandatory disclosure

    compliance of Jordanian listed companies.

    Hypothesis 3.2b: there is no association between the proportion of institutional ownership and mandatory disclosure

    compliance of Jordanian listed companies.

    One of the major aims of privatisation is the attraction of foreign investment. Shehadi (2002)contends that over 90% of

    foreign direct investment in developing countries has come from privatisation.6 Brown, Earle and Telegdy (2004, p. 12)argue

    that foreign owners have better access to nance, management skills, new technologies and knowledge of markets, which

    would suggest higher productivity effects. Foreign investors maintain more effective monitoring of management and require

    higher disclosure standards (Boubakri, Cosset & Guedhami, 2005).Naser et al. (2002) contend that foreign investors have

    more experience in regional and international markets and, hence, they are more likely to demand higher disclosure stan-

    dards. Empirical evidence investigating the impact of foreign investors is limited to voluntary disclosure studies. However, the

    ndings of these studies support the signicant inuence of foreign investors on disclosure.7 Following the above arguments,

    it is hypothesised that:

    Hypothesis 3.3: there is a positive association between the proportion of foreign ownership and mandatory disclosure

    compliance of Jordanian listed companies.

    4.4. Corporate attributes

    The study incorporates a number of control variables and tests their association with mandatory disclosure compliance.

    These variables are the size of the rm, leverage, protability, auditing rm identity, liquidity, industry type, listing and rm

    age. Larger rms have higher agency costs, compelling management to disclose more information to ease agency conicts

    (Chow & Wong-Boren, 1987; Diga, 1996). This study uses three variables as proxies for size: total assets, market capitalisation

    and net sales. It is also suggested that highly leveragedrms incur higher monitoring costs (Jensen & Meckling, 1976). Thus,

    managers of high debt rms tend to reduce these costs by increasing the information disclosed in annual reports. We use

    three proxies for leverage: total liabilities to shareholders equity, long-term liabilities to shareholders equity and total

    liabilities to total assets.

    Moreover, agency theory postulates that the managements of protable rms disclose detailed information to increase

    investorscondence, and support their positions and compensation arrangements (Inchausti, 1997). Two variables are usedin this study to measure protability: return on equity (ROE) and prot margin.

    Large audit rms are pressured by the World Bank not to sign their names as auditors to any annual report not complying

    withIFRS (Street & Gray, 2001). Dumontierand Raffournier (1998)posit that large auditrmscompel their clients to adopt IFRS

    because of the superior training of their employees and the existence of economies of scale in the development of competence

    in IFRS. We use a dichotomous variable that takes the value of one ifrms areaudited bya bigauditingrm andzero otherwise.

    A high liquidity ratio is an indicatorof good management performance. Accordingly, companies with higherliquidity ratios are

    expectedto disclose more information.The current ratio (ratioof current assetsto current liabilities) is ourmeasure of liquidity,

    since it is commonly used in disclosure studies (seeBelkaoui & Kahl, 1978; Wallace, Naser & Mora, 1994; Naser et al., 2002).

    6 Shehadi (2002)suggests that privatisation facilitates the involvement of foreign investment in developing countries through three main channels: the

    adoption of regulatory measures, increasing the liquidity of the capital market, and gaining the condence of foreign investors as governments show

    commitment to privatisation and liberalization.7 SeeHaniffa and Cooke (2002)and Lakhal (2005).

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    It is postulated that rms in the same industry disclose similar information to third parties (Wallace et al., 1994). This study

    considers three types of industry: infrastructure (IND1), manufacturing (IND2 default level) and services (IND3).

    Our study investigates the disclosure ofrms listed on therst market versus those listed on the over-the-counter (OTC)

    market. It is expected that Jordanian companies listed on the rst market would increase their disclosure to increase their

    ability to raise funds and reduce monitoring costs. We use a dichotomous variable that takes the value of one ifrms are listed

    on the rst market, and zero otherwise.

    Owusu-Ansah (1998)contends that older rms are more likely to disclose more information because such disclosure

    would endanger their competitive status less than it would younger rms, and younger rms would not have any past

    operating history to disclose.

    5. Research design and methodology

    5.1. Data selection

    To test the impact of the regulatory reforms resulting from privatisation, we examine a sample of public non-nancial

    companies listed on the Amman Stock Exchange. Financial companies such as banks and insurance companies were not

    included since they follow specic disclosure requirements (Naser et al., 2002). Sample companies were chosen based on the

    availability of their annual reports in 1996. Companies with 1996 annual reports were used as a basis for the selection of

    annual reports for 2004. While this procedure limits the sample size, since some companies were not included due to

    bankruptcy, merger or takeover, it is preferred since every company serves as its own control ( Owusu-Ansah & Yeoh, 2005).

    A total of 108 non-nancial companies were listed on the Amman Stock Exchange (ASE) in 1996. A letter was sent to the

    Company Controller at the Ministry of Industry and Trade in Jordan (where all annual reports are led) requesting the 108

    annual reports. However, only 94 annual reports for 1996 were received with complete data. Annual reports for the year 2004

    were available at the Jordan Securities Commission website (www.jsc.gov). A number of annual reports were not available at

    the website so they were requested from the Company Controller. The nal sample is based on 80 matched pairs of

    companies.Table 2shows the distribution of sample companies according to their industry type (7 infrastructure companies,

    46 manufacturing and 27 services).

    5.2. Dependent variable-mandatory disclosure index (MDI)

    This study measures disclosure as the extent to which nancial disclosure is in accordance with International Financial

    Reporting Standards (IFRS). This is because the 1997 Company Law and 2002 Securities Law mandated compliance with the

    IFRS. Prior to 1990,Jordanianlistedrmscomplied with the1964 Company Law(amended in 1989) which hadno requirements

    pertaining tothe form andcontentofnancial statements. Due to the weaknature of the requirementsof the previous Company

    Law, the Jordanian Association of Certied Public Accountants recommended the adoption of IFRS which resulted in many

    companies voluntarily adopting IFRS in following years (Rawashdeh, 2003). The enactment of the 1997 Company Law and the

    2002 Securities Law led to the mandatory adoption of the IFRS by all listed Jordanian rms. Further, the 2002 Securities Law

    imposed sanctions such as issuing nes, suspending trading or delisting for non-complying rms. Hence, the 1997 Company

    Table 2

    Sample size and distribution according to industry.

    Industry Industry type N Total 80

    Industry 1

    Infrastructure

    1. Electricity 2 7

    2. Cement 1

    3. Minerals 2

    4. Petroleum 2

    Industry 2

    Manufacturing

    1. Cable and electrical product 3 46

    2. Chemical and pharmaceutical 9

    3. Engineering 2

    4. Food and allied products 10

    5. Cigarettes 2

    6. Metals and allied products 7

    7. Wood and allied products 2

    8. Paper and printing 3

    9. Textile and allied products 4

    10. Clay products 2

    11. Leather and tanneries 2

    Industry 3

    Services

    1. Hotels and tourism 4 27

    2. Press 2

    3. Investment 11

    4. Education 2

    5. Transport 4

    6. Real Estate 4

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    http://www.jsc.gov/http://www.jsc.gov/
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    Law and the 2002 Securities Law were enacted to mandate the use and the enforceability of the IFRS, moving compliance with

    the standards from a voluntarystate to onewhere the use of IFRS was a statutory requirement and non-compliance was illegal.

    Therefore, the disclosure index consists of information items required by the IFRS. Nevertheless, IFRS were amended several

    times between 1996 and 2004. Thus, the 1996 annual reports are measured against IFRS extant and relevant in 1996, and the

    2004annual reports aremeasuredagainst IFRS extant andrelevantin 2004. Therefore, a relativemeasure fordisclosure is used.

    The company is awarded a score of 1 if it disclosed a mandatory item and a score of 0 if it failed to disclose it.

    A vital issue in disclosure research is whether to penalise a rmwhen an item is not disclosed. One way of dealing with this

    issue is not to penalise a rm for non-disclosure if the item is not relevant to the rm. Such a judgment can be made after

    reading the entire annual report (Cooke, 1992). Further, an unweighted mandatory disclosure index is used.8 Hence, the

    mandatory disclosure index (MDI) for each company would be the total number of mandatory items disclosed by the

    company divided by the total number of relevant items of the mandatory disclosure index, dened as follows:

    MDIjt

    Pnjti1

    xijtnjt

    where MDIjtis the mandatory disclosure index for thejth company in the year t, where tis either 1996 or 2004; njt, number of

    mandatory items that were relevant for thejth rm in the year t; xijt 1 if the ith (relevant) item is disclosed by the companyj

    in the yeart; xijt 0 if the ith (relevant) item is not disclosed;

    Therefore 0 MDIjt 1.

    The checklist for the year 1996 is based on IFRS (alternatively referred to as IAS) that were extant and relevant in 1996 as

    published by the IASC in its annual volume of standards (IASC, 1995). The study uses a disclosure checklist that was readily

    available from Epstein and Mirza (1997) encompassing International Accounting standards (IAS) extant in 1996. These are IAS1, 2, 5, 7, 8, 9, 10, 14, 16, 17, 19, 21, 22, 24, 25, 27, 28, and 32, and E 49. IAS 11 was excluded since it was not relevant to any

    company in this sample as none of the companies worked in the construction sector. The mandatory disclosure items of the

    year 1996 produced a checklist of 19 IAS (301 secondary items).

    The checklist for the year 2004 is based on the IFRS that were extant and relevant in 2004 as published in the IFRS Bound

    Volume (IASB, 2004). The study uses a checklist that was available from PriceWaterhouseCoopers (2004), producing

    a checklist of 27 IAS and 4 IFRS. These IAS are 1, 2, 7, 8, 10, 12, 14, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 31, 32, 33, 36, 37, 38, 39,

    40, and 42, and IFRS 2, 3, 4 and 5 (comprising 641 secondary items). 9

    5.3. Model specication

    We employ multiple regression to examine whether the factors under study are associated with the extent of mandatory

    disclosure of Jordanian listed companies. The model specication is shown below:

    MDIjt b0 b1Y b2 PNED b3 AC b4SBoard b5 GOV b6FOW b7INDV b8 INST b9 ASSET b10MC b11 NS b12LEV b13LLEV b14GR b15LIQ b16PROF b17PM b18AUD b19AGE b20LIST b21 IND1 b22IND3 ei

    where:

    MDIjt the mandatory disclosure index;

    Y year dummy variable: 1 for the 2004 annual reports, 0 for the 1996 annual reports;

    PNED ratio of the number of non-executive directors on the board to total number of board members;

    AC audit committee dummy variable: 1 if an audit committee is present, 0 otherwise;

    SBoard size of the board number of board members;

    GOV total percentage of ordinary shares held by the government;

    FOW total percentage of ordinary shares held by foreign investors;

    INDV total percentage of ordinary shares held by domestic individuals holding 10% or less of the shares;INST total percentage of ordinary shares held by institutional investors;

    ASSET total assets proxy for rm size;

    MC market capitalization market value of company ordinary shares (proxy for size);

    NS net sales net sales/revenues (proxy for size);

    LEV leverage ratio of total liabilities to shareholdersequity (proxy for gearing);

    LLEV long-term leverage ratio of long-term liabilities to shareholders equity (proxy for gearing);

    GR gearing ratio total liabilities to total assets (proxy for gearing);

    LIQ liquidity current ratio ratio of current assets to current liabilities;

    PROF protability return on equity (proxy for protability);

    8 Evidence from previous research supports the notion that there is no signicant difference between the results produced by the weighted and the

    unweighted disclosure indexes (Chow & Wong-Boren, 1987).9

    Note that the standards in 2004 have a larger number of secondary items. This was due to the larger number of requirements in IFRS in 2004 comparedto 1996.

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    Cross-sectional regression models are run for each year separately, so as to identify the variables that inuenced the extent

    of mandatory disclosure in each year. To test for the impact of privatisation, a pooled regression model is estimated based on

    the Least Squares Dummy Variables estimator (LSDV) technique using the data of the whole sample ofrms. This technique

    includes using a dummy variable for the year and estimating a pooled regression model to control for omitted variables that

    vary across the years but remain constant from observation to observation (Hsiao, 2003; Dougherty, 2006). This enables us to

    study how disclosure and governance reforms and ownership changes inuence the mandatory disclosure compliance of

    Jordanian listed rms.

    6. Results and discussion

    6.1. Descriptive statistics

    Table 3shows the descriptive statistics for the dependent and independent variables during the pre-(1996) and post-

    (2004) regulatory reform period.10 The table shows that the mean of the mandatory disclosure compliance in 2004 (0.79) is

    notably higher than that of the 1996 sample (0.55). It also indicates that 70% of the sample companies formed an audit

    committee in 2004. The percentage of non-executive directors and board sizes were slightly higher in 1996 compared to

    2004, implying lack of compliance with the legal requirements. A plausible explanation for this lack of compliance might be

    due to the weak enforcement of corporate governance rules ( ROSC, 2005). Privatisation could have indirectly inuenced the

    reduction in the percentage of non-executive directors as companies move from the public to the private sector leading to

    a reduction in resource expenditures,11 including reducing board sizes and the number of non-executive directors.

    Regarding the ownership variables, the table points to an increase in both foreign and institutional shareholdings, while

    government and individual ownerships have declined. The decline in individual ownership is somewhat surprising. The

    reluctance of many small individuals to trade in the capital market might be a possible explanation, as a result of the political

    instability in the region.

    Table 4offers a summary of the companiesdisclosure scores for the years 1996 and 2004. Comparing the data for the twoyears, the table shows an increase in disclosure compliance with IFRS over the time period of the study. In 2004, 50% of

    companies disclosed between 80% and 90% of the items included in the disclosure index, whereas in 1996 none of the

    companies disclosed in that category. Also, in 1996,13% of companies scored between 40% and 50% on the disclosure index, by

    2004 none of the companies were in that category. This indicates a noticeable increase in the disclosure compliance with the

    IFRS by the sample ofrms.12

    6.2. Multiple regression results for cross-sectional models 1996 and 2004

    The results of the cross-sectional regression models are shown in Table 5. In addition to the full models, reduced regression

    models are estimated. The reduced models are used due to the inclusion of too many variables. This allows us to capture the

    variables that provide more important information about the independent variable.13 To select the best reduced model, two

    issues must be considered: a selection criterion and a selection procedure. Many selection criteria have been suggested, themost common of which is the Cm criterion (Mallows Cm statistic).

    14 As for the selection procedure, the most careful selection

    procedure is the all possible models procedurein which all possible models are tted to the data. The selection criterion is

    then used on all the models in order to nd the model which is preferable to all others (Statmaster, 2008).

    PM prot margin prot before tax/net sales (proxy for protability);

    AUD auditor size dummy variable: 1 if auditor is one of the Big 6 (in 1996), the Big 4 (in 2004),

    0 otherwise;

    AGE rm age number of years since establishment of company;

    LIST listing status dummy variable: 1 if company listed on rst market, 0 otherwise;

    IND1 industry 1 1 if infrastructure, 0 otherwise;

    IND3 industry 3 1 if services, 0 otherwise;

    b022 regression estimates;

    ei the stochastic disturbance term.

    10 The dependent and independent variables are transformed using the normal scores transformation approach. A normally distributed dependent

    variable implies that the errors are normally distributed and that the signicance tests are meaningful and have great power (Cooke, 1998).11 Shleifer and Vishny (1997)argue that political interference in a public rm results in excessive employment.12 A pairedt-test is also conducted that compares means of mandatory disclosure in 2004 with those in 1996. We nd signicant differences between the

    means of the mandatory disclosure compliance implying that the introduction of the disclosure regulation produced higher disclosure in 2004 compared to

    1996.13 When there are a large number of explanatory variables, it is useful to be able to reduce the model to contain only the variables which provide

    important information about the response variable.14

    Cm RSSm/S

    2

    2(m 1) n, where RSSm is the residual sum of squares for the reduced model, m is the number of variables in the reduced model,S2 RSSk/(n k 1);k is the number of variables in the full model, and n is the number of observations.

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    Table 3

    Descriptive statistics of the dependent and independent variables for the whole sample.

    Whole sample ofrms in 1996,N 80 Whole sample of rms in 2004, N 80 Pooled

    Variable Mean

    Median

    Minimum

    Maximum

    SD Mean

    Median

    Minimum

    Maximum

    SD Mean

    Median

    MDI 0.547

    0.553

    0.414414

    0.653333

    0.0472 0.789850

    0.802897

    0.579882

    0.901961

    0.0694654 0.6684

    0.6510

    Y _ _ _ 0.500

    0.50

    Corporate governance variablesPNED 0.5986

    0.6125

    0.00

    0.9167

    0.1753 0.5896

    0.6364

    0.00

    0.9167

    0.2183 0.5941

    0.6305

    AC 0

    0

    0

    0

    0 0.7000

    1.0000

    0.00

    1.0000

    0.4611 0.3500

    0

    SBoard 9.7875

    10

    6

    14

    1.90731 9.175

    9

    4

    14

    2.29350 9.4812

    9

    Ownership variables

    GOV 7.63

    0

    0

    99.95

    17.52 4.04

    0

    0

    100.00

    15.52 5.84

    0.00

    FOW 0.862

    0

    0

    15.00

    2.539 3.39

    0.10

    0.00

    96.99

    12.68 2.127

    0.038

    INDV 45.74

    47.33

    0

    88.81

    21.44 37.31

    35.48

    0.00

    78.64

    20.30 41.52

    42.86

    INST 24.77

    22.47

    0

    74.36

    17.01 27.45

    24.04

    0.00

    78.68

    20.10 26.11

    23.07Company characteristics

    ASSET 29688505

    8904431

    314506

    390773547

    72423275 39040962

    13293155

    1401542

    368831000

    72447020 343647

    106147

    MC 21292817

    7720000

    434863

    4542615

    57206353 50299693

    13906250

    430303

    915664820

    134241773 355320

    990750

    NS 18852105

    3727263

    0

    493458976

    64327897 31302527

    6549134

    13945

    861840893

    104760374 250773

    555857

    LEV 72.1

    43.6

    9.7

    1088.3

    145.2 77.0

    30.0

    0.9

    1185.4

    148.8 74.5

    36.0

    LLEV 10.83

    0.00

    0.00

    116.21

    22.11 10.03

    0.00

    0.00

    74.65

    17.75 10.43

    0.00

    GR 69.06

    69.07

    8.41

    99.77

    19.31 68.48

    75.18

    6.23

    98.32

    23.96 68.77

    72.65

    LIQ 14.09

    1.98

    0.12

    399.90

    57.35 4.576

    2.250

    0.030

    53.880

    8.325 9.33

    2.18

    PROF 4.99

    3.65

    75.49

    128.48

    19.92 5.99

    8.11

    150.91

    52.05

    22.73 5.49

    6.43

    PM 3.55

    6.02

    224.44

    100.85

    51.94 6.1

    12.4

    1882.8

    230.6

    219.0 1.3

    9.1

    AUD 0.325

    0.00

    0.00

    1.00

    0.4713 0.5375

    1.00

    0.00

    1.00

    0.5017 0.4313

    0.00

    AGE 14.10

    8.50

    1.00

    58.00

    14.24 22.10

    16.50

    9.00

    66.0

    14.24 18.10

    13.00

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    LIST 0.7500

    1.00

    0.00

    1.00

    0.4357 0.6750

    1.00

    0.00

    1.00

    0.4713 0.7125

    1.00

    IND1 0.0875

    0.00

    0.00

    1.00

    0.2843 0.0875

    0.00

    0.00

    1.00

    0.2843 0.0875

    0.00

    IND3 0.3375

    0.00

    0.00

    1.00

    0.4758 0.3375

    0.00

    0.00

    1.00

    0.4758 0.3375

    0.00

    MDI, the mandatory disclosure index; Y, year, dummy variable: 1 for the 2004 annual reports, 0 for the 1996 annual reports; PNED, number of non-executive

    members; AC, dummy variable: 1 if an audit committee is present, 0 otherwise; SBoard, number of board members; GOV, total percentage of ordinary shares he

    ordinary shares held by foreign investors; INDV, total percentage of ordinary shares held by domestic individuals holding 10% or less of the shares; INST, total p

    investors; ASSET, total assets; MC, market value of company ordinary shares; NS, net sales/revenues; LEV, ratio of total liabilities to shareholders equity; LLEV, ra

    GR, total liabilities to total assets; LIQ, ratio of current assets to current liabilities; PROF, return on equity; PM, prot before tax/net sales; AUD, dummy variable: 12004), 0 otherwise; AGE, number of years since establishment of company; LIST, dummy variable: 1 if company listed on rst market, 0 otherwise; IND1, 1 i

    0 otherwise.

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    To test for the presence of multicollinearity, the variance ination factor (VIF) is calculated for variables in each of the

    regression models. In the 1996 cross-sectional model, our analysis shows that the VIF values for the gearing and leverage

    variables (14.2 and 13.2, respectively) constitute multicollinearity problems.15 One way of dealing with this problem is to t

    highly correlated variables in separate regression models, selecting the variable that provides the greatest explanatory power

    while satisfying the regression assumptions (Ahmed & Nicholls, 1994; Wallace & Naser, 1995). Therefore, we drop the gearing

    variable in the 1996 model. The same procedure is used in the 2004 cross-sectional model and the variable Asset is dropped as

    a result of the high multicollinearity.

    Table 5details the regression results for the 1996 and 2004 cross-sectional models. The adjustedR2 of the 1996 full modelis very small and the F-test is insignicant. One possible reason for the low adjusted R2 is that the disclosure behaviour in that

    year did not follow any pattern in relation to the variables under study, largely due to unawareness by management of the

    importance of compliance with IFRS. The reduced model produced an adjustedR2 of 12.6% and theF-test is signicant at the

    0.05 level.16 Long-term leverage is highly signicant (at the 0.01 level) implying that Jordanian listed rms with greater long-

    term debt have a preference for using IFRS in the preparation of theirnancial statements. This is explained by long-term

    creditors requiring information to assure them that shareholders and management are less likely to diminish the value of

    claims arising from bond covenants (Wallace & Naser, 1995). Further, long-term leveraged rms incur higher monitoring

    costs, hence, compliance with IFRS facilitates the monitoring role ofnancial statements (Dumontier & Raffournier, 1998).

    On the other hand, leverage is negatively associated with disclosure compliance. At rst sight this result is puzzling,

    because it contradicts the result of long-term leverage. Nevertheless, leverage comprises both long-term and current debt,17

    hence, the negative signicance of leverage implies that the higher the rms current debt the lower their disclosure

    compliance with IFRS.18 Thus, a possible explanation is that Jordanian rms with high current debt might prefer to use other

    mechanisms to resolve information asymmetry, such as private communication between management and creditors.Industry type 3 has a negative and signicant coefcient at the 0.1 level, implying that rms in the services sector comply

    the least with IFRS. This may be due to the less complex nature of their operations, hence their use of less sophisticated

    disclosure rules. Non-executive directors are negatively associated with disclosure compliance (at the 0.05 level) indicating

    that they were inactive in monitoring management. The negative association can also be attributed to the lack of indepen-

    dence of non-executive directors.

    The 2004 full and reduced models are signicant at the 0.05 and 0.01 levels, respectively. The full model produced an

    adjustedR2 of 14.7% and ve variables are statistically signicant: audit committee, size of the board, auditor type, liquidity,

    and the gearing ratio (at the 0.1, 0.1, 0.05, 0.1 and 0.1 levels, respectively). This result con rms that the enforcement of

    mandatory audit committees in Jordan has a signicant impact on rms disclosure compliance with IFRS, since it is the

    responsibility of the audit committee to ensure that the information disclosed in the annual report is in compliance with the

    mandatory requirements of the JSC (including compliance with IFRS). The board size variable has a positive signicant

    coefcient, contradicting its expected direction. This may be explained as larger Jordanian rms have larger board sizes since

    they have more owners and they need to satisfy those owners by including their representatives as members on the board ofdirectors. Also, the positive signicance of the auditor type variable asserts the importance of the role of big auditing rms in

    compelling their clients to comply with the IFRS (since compliance with mandatory disclosure in Jordan means compliance

    with IFRS). The percentage of non-executive directors on the board is not signicant, implying that the reform pertaining to

    non-executive directors did not enhance mandatory disclosure. This result might be due to the failure of the new 1997

    Company Law to provide for explicit specication of the duties of directors. Also, the requirement that all directors on the

    board must be shareholders jeopardises the independence of non-executive directors.

    Table 4

    Distribution of Disclosure Compliance Scores: A Comparison 19962004.

    Score range 1996 2004

    % of disclosure index No. of rms % in the sample No. of rms % in the sample

    4050% 13 16.25 0 0.00

    5060% 56 70.00 1 1.25

    6070% 11 13.75 9 11.25

    7080% 0 0.00 29 36.25

    8090% 0 0.00 40 50.00Over 90% 0 0.00 1 1.25

    Total 80 100.00 80 100.00

    15 A VIF value of 10 represents a severe multicollinearity problem (Naser et al., 2002).16 Although the 1996 reduced model dropped many variables including ownership variables, it provided useful information identifying the most relevant

    variables in explaining the response variable.17 Examples of current debts are notes payable, accounts payable and other accrued expenses.18

    To con

    rm this conclusion, the regression analysis is repeated using a leverage variable measured by the percentage of current debt (long-term debtexcluded) to equity. The results retain the positive signicance of long-term leverage and the negative signicance of the new variable.

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    Table 5

    Regression analysis of determinants of disclosure.

    MDIjt b0 b1Y b2 PNED b3 AC b4 SBoard b5 GOV b6 FOW b7 INDV b8 INST b9 ASSET b10MC b11NS b12LEV b13LLEV b14GR b15LIQ b16PROF b17PM b18AUD b19AGE b20 LIST b21IND1 b22IND3 ei.

    Predictor Predicted sign 1996

    Full model

    1996

    Reduced model

    2004

    Full model

    2004

    Reduced model

    Pooled

    Full Model

    Pooled

    Reduced Model

    Constant None 0.0545

    0.19

    0.0933

    0.67

    0.6030

    1.75*

    0.6173

    2.32**

    0.8289

    6.15***

    0.8414

    10.87***

    Year

    1.23217.84*** 1.22108.57***

    Corporate Governance variables

    PNED 0.3267

    2.34**

    0.2306

    2.11**

    0.0782

    0.62

    0.0836

    0.75

    0.04849

    0.91

    0.02425

    0.51

    AC 0.4587

    1.71*

    0.4859

    2.06**

    0.3246

    2.11**

    0.3372

    2.36**

    SBoard 0.0565

    0.37

    0.2562

    1.69*

    0.2519

    1.87*

    0.06132

    1.05

    0.07795

    1.45

    Ownership variables

    GOV ? 0.2568

    1.35

    0.1915

    1.19

    0.2095

    1.45

    0.06500

    0.96

    FOW 0.0549

    0.36

    0.1623

    1.16

    0.1666

    1.28

    0.03702

    0.60

    0.05310

    0.90

    INDV ? 0.0742

    0.38

    0.0114

    0.08

    0.03586

    0.55

    INST ? 0.0156

    0.10

    0.0814

    0.57

    0.04023

    0.68

    Control variables

    ASSET 0.0259

    0.14

    MC

    0.0313

    0.15

    0.0225

    0.14

    0.11156

    1.41

    0.09517

    1.98**

    NS 0.0688

    0.27

    0.0468

    0.21

    0.04448

    0.46

    LEV 0.5252

    2.28**

    0.3538

    2.40**

    0.2916

    1.08

    0.2598

    1.04

    0.10314

    1.24

    0.12108

    1.63

    LLEV 0.5466

    2.47**

    0.5526

    2.94***

    0.1910

    0.94

    0.2032

    1.06

    0.17652

    2.09**

    0.18580

    2.38**

    GR 0.5367

    1.71*

    0.5172

    1.79*

    LIQ ? 0.0843

    0.51

    0.3132

    1.68*

    0.3011

    1.81*

    0.01525

    0.24

    0.01779

    0.30

    PROF 0.2704

    1.33

    0.1587

    1.10

    0.2236

    1.13

    0.2580

    1.97*

    0.02478

    0.32

    PM 0.1859

    1.07

    0.1598

    1.12

    0.0430

    0.17

    0.01196

    0.16

    AUD 0.2545

    0.81

    0.2624

    1.11

    0.5930

    2.37**

    0.5955

    2.61**

    0.2729

    2.41**

    0.2270

    0.1042

    AGE 0.2574

    1.33

    0.0526

    0.38

    0.0735

    0.58

    0.04594

    0.68

    0.04669

    0.86

    LIST 0.0947

    0.30

    0.0365

    0.12

    0.0117

    0.10

    IND1 0.4578

    0.76

    0.2616

    0.61

    0.3420

    0.57

    0.2053

    0.42

    0.2259

    0.92

    IND 3 0.3879

    1.43

    0.4462

    1.90*

    0.3013

    0.97

    0.2123

    0.90

    0.1221

    1.02

    R-Sq(adj) 6.3% 12.6% 14.7% 20.7% 66.7% 68.0%

    F-statistic 1.29 2.63** 1.68** 2.38*** 16.93*** 31.66***

    *** Signicant at the 0.01 level (all probabilities are one-tailed); **Signicant at the 0.05 level; * Signicant at the 0.1 level; Top values are the regression

    coefcients, the bottomare the t-statistics; MDI themandatorydisclosure index; Y year dummy variable:1 forthe 2004 annual reports, 0 forthe 1996

    annual reports; PNED number of non-executive directors on the board to total number of board members; AC audit committee dummy variable: 1 if

    an audit committee is present, 0 otherwise; SBoard size of the board number of board members; GOV total percentage of ordinary shares held by the

    government; FOW total percentage of ordinary shares held by foreign investors; INDV, total percentage of ordinary shares held by domestic individuals

    holding 10%or less of the shares; INST, total percentage of ordinary shares held by institutional investors; ASSET, total assets, proxy forrm size; MC,market

    capitalization, market value of company ordinary shares (proxy for size); NS, net sales, net sales/revenues (proxy for size); LEV, leverage, ratio of total

    liabilities to shareholdersequity (proxy for gearing); LLEV, long-term leverage, ratio of long-term liabilities to shareholdersequity (proxy for gearing); GR,

    gearing ratio, total liabilities to total assets (proxy for gearing); LIQ, liquidity, current ratio, ratio of current assets to current liabilities; PROF, pro tability,

    return on equity (proxy for protability); PM, prot margin, prot before tax/net sales (proxy for protability); AUD, auditor size, dummy variable: 1 if

    auditor is one of the Big 6 (in 1996), the Big 4 (in 2004), 0 otherwise; AGE,rm age, number of years since establishment of company; LIST, listing status,

    dummy variable: 1 if company listed on rst market, 0 otherwise; IND1, Industry 1, 1 if infrastructure, 0 otherwise; IND3, Industry 3, 1 if services,

    0 otherwise;b022, regression estimates; ei, the stochastic disturbance term.

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    With respect to liquidity, the results imply that less liquid rms tend to comply more with IFRS to justify their weak

    nancial position. Also, the signicance of the gearing variable implies that the higher the rms debt, the higher is its

    compliance with the mandatory disclosure of IFRS (Naser & Al-Khatib, 2000; Naser et al., 2002).

    The reduced model produced an adjusted R2 of 20.7% and six signicant variables, audit committee, size of the board,

    auditor type, liquidity, gearing ratio and protability. Under this model, protability appears as a signicant determinant of

    mandatory disclosure compliance, indicating that managers of protable rms disclose detailed information to increase

    investorscondence, and to signal superior performance to the market.

    6.3. Multiple regression results for the pooled regression model

    A pooled regression model is estimated based on the Least Squares Dummy Variables estimator (LSDV) technique using

    the data from both the years 1996 and 2004. Pooling cross-sectional data enables us to study how disclosure regulation,

    governance reforms and ownership changes inuences disclosure compliance with IFRS. The pooled regression model is

    subjected to the same statistical tests used in the previous models. The VIF values of the gearing and asset variables are 9.5

    and 9.3, respectively, indicating multicollinearity problems. We use the same procedure utilised earlier and both variables are

    thereby dropped from the model.

    Another assumption that must be tested with pooled data is the absence of autocorrelation using the DurbinWatson

    coefcient (D), where Dranges from 0 to 4.Dvalues between 1.5 and 2.5 indicate independence of observations. The Durbin

    Watson coefcient of the model,D 2.1 (which is close to 2), indicates the absence of autocorrelation.

    AsTable 5 shows, the adjusted R2 of the models are 66.7% and 68%, respectively (with F-statistics of 16.93 and 33.66,

    respectively, which are signicant at the 0.01 signicance level or better). The year variable, as a surrogate for the introduction

    of disclosure regulation, produced the most signicant impact on disclosure compliance with IFRS (at the 0.01 level) in both

    the full and reduced models. This result suggests that disclosure compliance with IFRS improved as a result of the enactment

    of the 1997 Company Law, the 1997 Temporary Securities Law and the 2002 Securities Law which transformed compliance

    with IFRS from voluntary to compulsory.

    Auditor type and audit committee presence both emerge as signicant determinants of disclosure compliance with IFRS

    (in both models). These ndings support the role of large audit rms and audit committees in signicantly inuencing the

    levels of compliance with the IFRS. Long-term leverage appeared to have a signicant positive inuence on disclosure (in both

    models), while the market capitalisation coefcient is signicant in the reduced model.

    None of the ownership variables coefcients are statistically signicant. Jordanian individual investors investment

    decisions are largely uninformed, thus, they would exert little inuence on disclosure (Naser & Al-Khatib, 2000). Also,

    institutions in Jordan are either passive or related to a controlling family (ROSC, 2005) which explains the nding that they

    have no inuence on mandatory disclosure. Further, the governments weak governance can result in poor disclosure practice.

    However, the result for foreign investors is somewhat surprising. One explanation for this could be that foreign investors are

    not initiallyat ease in an environment that is unknown to them; therefore, their inuence on disclosure compliance might not

    be captured within the time frame of our study period.

    6.4. Sensitivity tests

    We perform an untabulated test, utilising rank transformation. Advocated by Iman and Conover (1979), rank trans-

    formation has great advantages when the data is monotone and non-linear in nature. Rank transformation is utilised by

    many disclosure studies:Lang and Lundholm (1993), Wallace and Naser (1995), Haniffa and Cooke (2002)and Ali, Ahmed

    and Henry (2004). The results of the rank regression support the ndings regarding the signicant inuence of the intro-

    duction of the disclosure regulation and the presence of audit committees on disclosure compliance with IFRS, and the

    critical role played by the external auditor to ensure compliance with IFRS. Results of other variables (not reported here, but

    available from the authors on request) are consistent with the results of the normal approach, conrming the robustness of

    the results.

    7. Conclusion

    This paper has investigated the inuence of accounting disclosure regulation, governance reforms and ownership changes,

    resulting from privatisation, on mandatory disclosure compliance of Jordanian listed companies. We conclude that manda-

    tory disclosure compliance has signicantly increased through the time period of the study. We run two cross-sectional

    regression models for 1996 and 2004. In 1996, long-term leverage and leverage appeared to be the signicant variables to

    inuence the disclosure compliance of Jordanian rms. In the 2004 cross-sectional model, auditor type, the presence of the

    audit committee, size of the board, liquidity and gearing ratio emerged as signicant determinants of mandatory disclosure.

    These ndings were supported by the pooled regression model implying that the introduction of disclosure regulation and

    corporate governance reforms through the mandate of audit committees and the type of auditor have all signi cantly

    inuenced the mandatory disclosure compliance of Jordanian listed rms. Ownership structure and the percentage of non-

    executive directors on the board were insignicant in inuencing disclosure. Finally, two company attributes appeared to

    inuence disclosure compliance in Jordan: market capitalization and long-term leverage.

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    Taken all together, we conclude that mandatory disclosure compliance improved signicantly as a result of privatisation,

    particularly via reforms to disclosure regulation which account for much of that improvement, and additionally, the mandate

    of audit committees.

    The study provides several contributions to accounting research and to accounting practice and regulation. The study

    shows that corporate disclosure research must consider the interaction of accounting systems and economic factors

    contingent to particular countries. This study developed a model that incorporated privatisation and its consequent

    disclosure regulation, governance reforms, and ownership structure changes, and rm-specic variables. This enhances the

    understanding of the inuence of possible determinants of disclosure practice. The inclusion of a large number of variables

    helped explain the variance in disclosure, reected in the high R2 of the pooled model.

    Further, this study provides timely ndings given the current reforms in progress by the Jordanian authorities for

    improving corporate governance standards. In addition, the study shows that disclosure regulation accompanied by stringent

    enforcement mechanisms are needed to ensure compliance with mandatory disclosure requirements. It provides implica-

    tions for national and international accounting regulators on the use of disclosure regulation for improving corporate

    disclosure.

    It also suggests that the Jordan Securities Commission staff, who monitor the quality of disclosure, should improve their

    review of the disclosure content of annual reports to ensure higher levels of compliance with mandatory disclosure

    requirements (compliance with IFRS was only 79% in 2004).

    Moreover, the lack of the signicance of non-executive directors on the board is of particular relevance for policy makers

    and regulators in Jordan. The lack of signicance might be due to the requirement of the 1997 Company Law that all directors

    on the board must be shareholders. This requirement perhaps needs to be reconsidered as it jeopardises the independence of

    non-executive directors. This signies the importance of providing a clear denition for independentdirectors and estab-

    lishing effective and enforceable legislative frameworks for corporate governance. It also puts pressure on international

    regulators such the OECD and the International Monetary Fund (which adopted the OECD Principles as a benchmark

    instrument for its member countries and surveillance procedures) to introduce stringent regulation for non-compliance of

    governance principles. The positive lesson of these ndings may also encourage other developing countries to adopt effective

    policies with a view to improving legislative frameworks for corporate governance.

    This study provides information about the improved disclosure levels of listed companies on the Amman Stock Exchange

    (ASE) arising as a result of the introduction of disclosure and governance reforms. It established that the adoption of IFRS

    without regulatory oversight will not automatically create the improved disclosures needed to promote foreign and domestic

    investment at the ASE.

    This study demonstrated that introducing governance and disclosure regulation resulted in higher disclosure levels.

    Higher disclosure levels mean better information sharing about capital assets, hence improving the attractiveness of such

    investments. Therefore, future research can link the ndings of this study to investment decisions in Jordan and other

    developing countries undertaking such reforms.

    While this study was able to ascertain the impact of disclosure regulation and governance reform resulting from priva-

    tisation on mandatory disclosure, it is still based on a single geographical market. Although our results can be generalised to

    the Jordanian market, they may not obtain in other markets. Accordingly, an extension of this study can be through the use of

    cross-country analyses that may shed light on how privatisation impacts mandatory disclosure. Additionally, our analysis

    employs a disclosure checklist method, which is subject to the problem of coding errors and bias inherent in scoring annual

    reports.

    Acknowledgements

    We would like to acknowledge the constructive comments of Balachandran Muniandy, Darren Henry, John Hillier, Leo

    Langa, Patrick Hutchinson, Stephen Owusu-Ansah, the participants at the Global Accounting and Organizational Change

    Conference 2008, in Melbourne, and the journals editor Mike Jones, on an earlier version of the paper. Thanks are also due to

    two anonymous referees for their helpful comments and suggestions. Any remaining errors are ours.

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