The Determinants of Corporate Growth
AbstractCorporate Growth is a concept that has been widely treated in a specific way or as part of strategy theories, in definition and in econometric models and has also been studied in many different aspects and approaches. The author describes in depth the main variables affecting corporate growth and the underlying business processes. This empirical research has focused on Sales, Profit-Cash Flow, Risk, Created Shareholder Value, Market Value and Overall Performance econometric models. These panel data models are based on the 500 Companies of the Standard & Poor’s 500. The methodology used has been very strict in identifying exogenous variables, walking through the different alternative econometric models, discussing results, and, in the end, describing the practical implications in today’s business corporate management. We basically assume that the Functions/Departments act independently in the same company, many times with different objectives, and in this situation clear processes are key to clarify the situations, roles and responsibilities. We also assume that growth implies interactions among the different functions in a company and the CEO acts to lead and coach his immediate Directors as a referee of the key conflicts through his Operating Mechanism. The objective of this PhD Dissertation is to clarify the business priorities and identify the most relevant variables in every process leading to the highest efficiency in reaching a sustainable and profitable growth. It covers the lack of academic studies on the nature and specific driving factors of corporate growth and provides a working framework for Entrepreneurs and Management leading to the Company’s success.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 24336.
Date of creation: 23 Jun 2010
Date of revision:
Models with Panel Data; Capital; Produtivity; Firm choice; Growth; Investment; Corporate Finance; Firm objectives; Firm performance; Industry studies; Manufacturing; Primary products and construction; Services; Transportation and utilities; Business economics; Research and development;
Find related papers by JEL classification:
- L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
- L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- G30 - Financial Economics - - Corporate Finance and Governance - - - General
- L80 - Industrial Organization - - Industry Studies: Services - - - General
- L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
- L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
- D92 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Firm Choice and Growth, Financing, Investment, and Capacity
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- M21 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - Business Economics
- L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-08-21 (All new papers)
- NEP-BEC-2010-08-21 (Business Economics)
- NEP-CSE-2010-08-21 (Economics of Strategic Management)
- NEP-SBM-2010-08-21 (Small Business Management)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Andrew Ang & Geert Bekaert, 2001. "Stock Return Predictability: Is it There?," NBER Working Papers 8207, National Bureau of Economic Research, Inc.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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