IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/24919.html
   My bibliography  Save this paper

Global environment and factors affecting the salary of the CEO (chief executive officer) of a goods producing firm: an Econometric modeling approach using STATA

Author

Listed:
  • Aziz, Zohaib
  • Muhammad, Ahsanuddin
  • Hussain, Ghulam

Abstract

The flattening of the world thanks to the cluster of profound socio-economic and politico-cultural changes has created unprecedented challenges for organizational leadership and management. The fast evolving global world of ours where challenges have to be continually met requires timely decision taken by CEOs’ (Chief Executive Officers) who shape and give direction to world politics and economic order. In the light of this we have studied the decisions taken by CEOs’ of goods producing firms’ and their decisions on firm’s productivity and profitability which in turn depend to a great deal on CEOs’ salary structure. Better salary leads to influx of people from all over the world often leading to brain drain situation in developing countries. Globalization has created social disparities in the present economic system that are molded by the increasing polarization of work between people working in high paid knowledge sectors and others working in low paid sectors. Prior research has suggested that in a global environment capitalists benefit from other capitalists who pay higher salaries from the expansion of income. The salary data of 177 CEOs’ (Chief Executive Officers) for the year 1990 – published in the Business Week of June 6, 1991 has been analyzed to determine and correlate the effects of sales, market value (mktval), profit and CEOs’ tenure (ceoten) on the CEOs’ salary. The performance of goods producing firms where the CEOs’ served has been found to be strongly correlated with their salary intakes. The basic purpose of this research and study is to analyze the deciding factor in the salaries of top executives. The CEOs’ are the policy makers in all government and non-governmental organizations and their decision-taking greatly influences the performances of their institution. CEOs’ performance with respect to their salaries and other variables mentioned above is found to be the deciding factor as regards policy execution matters in goods producing firm’s performances.

Suggested Citation

  • Aziz, Zohaib & Muhammad, Ahsanuddin & Hussain, Ghulam, 2010. "Global environment and factors affecting the salary of the CEO (chief executive officer) of a goods producing firm: an Econometric modeling approach using STATA," MPRA Paper 24919, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24919
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/24919/1/MPRA_paper_24919.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Canavire-Bacarreza, Gustavo & Martínez-Vázquez, Jorge & Vulovic, Violeta, 2013. "Taxation and Economic Growth in Latin America," IDB Publications (Working Papers) 4583, Inter-American Development Bank.
    2. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
    3. Lee, Boram & Rosenthal, Leonard & Veld, Chris & Veld-Merkoulova, Yulia, 2015. "Stock market expectations and risk aversion of individual investors," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 122-131.
    4. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    5. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    6. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    7. Christopher David Absell, 2023. "British slave emancipation and the demand for Brazilian sugar," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(1), pages 125-154, January.
    8. Christoph S. Weber, 2018. "Central bank transparency and inflation (volatility) – new evidence," International Economics and Economic Policy, Springer, vol. 15(1), pages 21-67, January.
    9. Nordin, Nur Naddia & Nordin, Nur Haiza, 2016. "Determinants of Innovation in Developing Countries: A Panel Generalized Method of Moments Analysis," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 50(2), pages 93-105.
    10. Lionel Artige & Rosella Nicolini, 2008. "Memory in Contracts: The experience of the EBRD (1991-2003)," CREPP Working Papers 0803, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    11. Martin Ruf, 2010. "Holdings als Mittel der Steuerplanung zur Implementierung von steuerlich motiviertem Fremdkapital," Schmalenbach Journal of Business Research, Springer, vol. 62(8), pages 883-910, December.
    12. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2013. "Multilateral resistance to migration," Journal of Development Economics, Elsevier, vol. 102(C), pages 79-100.
    13. Micaela Antunes & Elias Soukiazis, 2009. "How well the balance-of- payments constraint approach explains the Portuguese growth performance: empirical evidence for the 1965-2008 period," GEMF Working Papers 2009-13, GEMF, Faculty of Economics, University of Coimbra.
    14. Armando Silva & Oscar Afonso & Ana Africano, 2013. "Economic performance and international trade engagement: the case of Portuguese manufacturing firms," International Economics and Economic Policy, Springer, vol. 10(4), pages 521-547, December.
    15. Mr. Fabio Comelli, 2015. "Estimation and out-of-sample Prediction of Sudden Stops: Do Regions of Emerging Markets Behave Differently from Each Other?," IMF Working Papers 2015/138, International Monetary Fund.
    16. Christian Weiss & Stefan Hilger, 2012. "Ownership concentration beyond good and evil: is there an effect on corporate performance?," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 16(4), pages 727-752, November.
    17. Fischer, Denise & Greven, Andrea & Tornow, Mark & Brettel, Malte, 2021. "On the value of effectuation processes for R&D alliances and the moderating role of R&D alliance experience," Journal of Business Research, Elsevier, vol. 135(C), pages 606-619.
    18. Bishu, Kinfe & O'Reilly, Seamus & Lahiff, Edward & Steiner, Bodo, 2016. "Cattle farmers’ perceptions of risk and risk management strategies," MPRA Paper 74954, University Library of Munich, Germany.
    19. Jamie M. Sommer & Michael Restivo & John M. Shandra, 2020. "The United States, Bilateral Debt-for-Nature Swaps, and Forest Loss: A Cross-National Analysis," Journal of Development Studies, Taylor & Francis Journals, vol. 56(4), pages 748-764, April.
    20. Mendoza-Lozano, Frederick Andrés & Quintero-Peña, Jose Wilmar & García-Rodríguez, Jose Felix, 2021. "The digital divide between high school students in Colombia," Telecommunications Policy, Elsevier, vol. 45(10).

    More about this item

    Keywords

    Econometric model; multicollinearity; STATA10; elasticity; employment tenure and market value;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:24919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.