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Earnings Management in Greece: A Case Study in Construction Sector Using Jones Model

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Listed:
  • Ioannis Gasteratos
  • Michael Karamalis
  • Andreas Koutoupis
  • Ioannis Filos

Abstract

Shadow economy is harmful to the whole official economy. It distorts competition and stock prices, it worsens income distribution and is an obstacle for entrepreneurship and economic growth. There are many reasons causing shadow economy. One of them is earnings management. A lot of research has been made on earnings management. In this paper Jones (1991) model will be used to examine the phenomenon of earnings management in the Greek construction industry. The findings are: first in the Greek construction sector discretionary accruals in practice affect negligibly the percentage of shadow economy in GDP, second in the Greek construction sector discretionary accruals (showing lower profits) increase in periods of higher capital tax rate, third in the Greek construction sector usually large companies resort to earnings management more than the small ones. Hence, Jones (1991) model shows the way for further investigation on tax avoidance. It should be noted however that shadow economy is a very complicated topic and is not only a matter of just earnings management. The contribution of this paper is that it uses Jones (1991) model to spot tax evading companies and triggers further research. Besides, the findings of this paper indicate the need for the global adoption of the international accounting and auditing standards. Cultural differentials across countries, which hinder this adoption, must be overcome.

Suggested Citation

  • Ioannis Gasteratos & Michael Karamalis & Andreas Koutoupis & Ioannis Filos, 2016. "Earnings Management in Greece: A Case Study in Construction Sector Using Jones Model," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 3-16.
    • Handle: RePEc:ers:ijebaa:v:iv:y:2016:i:4:p:3-16
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Theodora Kosma & Pavlos Petroulas & Evangelia Vourvachaki, 2020. "What drives wage differentials in Greece: workplaces or workers?," Economic Bulletin, Bank of Greece, issue 52, pages 69-72, December.
    2. Afroditi Ntokozi & Christos A. Tzovas & Constantinos G. Chalevas, 2022. "Earnings Management During Financial Crisis: The Case of Greece," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(2), pages 200-219, June.
    3. Nikos Vettas & Konstantinos Peppas & Sophia Stavraki & Michail Vasileiadis, 2020. "The contribution of Industry to the Greek economy: facts and prospects," Economic Bulletin, Bank of Greece, issue 52, pages 29-67, December.
    4. Ioannis Asimakopoulos & Athanasios P. Fassas & Dimitris Malliaropulos, 2020. "Does earnings quality matter? Evidence from the Athens Exchange," Economic Bulletin, Bank of Greece, issue 52, pages 93-112, December.
    5. Constantina Backinezos & Stelios Panagiotou & Evangelia Vourvachaki, 2020. "Multiplier effects by sector: an input-output analysis of the Greek economy," Economic Bulletin, Bank of Greece, issue 52, pages 7-28, December.

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    More about this item

    Keywords

    Shadow Economy; Earnings Management; Construction Sector; Crisis; South EU; Tax Evasion; Entrepreneurship; Perfect Competition; SMEs; Income Distribution; Economic Growth; International Accounting Standards; International Audit Standards; Panel Data Econometric Analysis; Jones (1991) model. JEL Classification: E26; E25; O17; C33;
    All these keywords.

    JEL classification:

    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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