Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis

Capital expenditure (capex) decisions have been extensively studied except in developing countries (Mansor and Hamidi, 2008). Capex implicitly affects institutional aggregate demand, gross national product and business cycles. This research focuses on the capex decisions by Malaysian public listed c...

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Main Authors: Masyhuri Hamidi, Noorhayati Mansor, Rozilee Asid
Format: Article
Language:English
English
Published: Penerbit UMS 2013
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/30802/1/Capital%20expenditure%20decisions.pdf
https://eprints.ums.edu.my/id/eprint/30802/2/Capital%20expenditure%20decisions1.pdf
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author Masyhuri Hamidi
Noorhayati Mansor
Rozilee Asid
author_facet Masyhuri Hamidi
Noorhayati Mansor
Rozilee Asid
author_sort Masyhuri Hamidi
collection UMS
description Capital expenditure (capex) decisions have been extensively studied except in developing countries (Mansor and Hamidi, 2008). Capex implicitly affects institutional aggregate demand, gross national product and business cycles. This research focuses on the capex decisions by Malaysian public listed companies (PLCs) between the years 2002 to 2006. Using the Pecking Order Hypothesis (POH) and Managerial Hypothesis (MH) frameworks, four independent variables are examined. These are (i) internal cash flows (ICF); (ii) Insider Ownership (I_O); (iii) Investment Opportunities (IOP); and (iv) the interaction effects of the variables. In addition, sales revenue is used as a control variable. Both hypotheses predict a positive effect of (IFC) on capex. However, their arguments differ in relation to the effects of (I_O) on capex. MH argues for a negative relationship but POH proposes no effect between the two. POH suggests a positive effect of (IOP) on capex whereas MH predicts no relationship between them. Using a pool Ordered Logistic Regression (OLR) model, capex is categorized into five ordinal categories and the control variable is divided into four groups, which are ranked to capture the variability of the capex. The result of this study shows that the (ICF) has a positive and significant effect on capex, and this finding supports both studied hypotheses. However, (I_O) and (IOP) show a negative and significant effect on capex. The study also found that there is a conflict of interest between managers and shareholders base on the negative coefficient of (I_O). This finding is consistent with Kim (2006) and supports the MH. This study provides mixed-support for the two hypotheses and reveals interesting characteristics with regards to the managerial style in Malaysian PLCs.
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spelling ums.eprints-308022021-10-27T07:31:17Z https://eprints.ums.edu.my/id/eprint/30802/ Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis Masyhuri Hamidi Noorhayati Mansor Rozilee Asid HD72-88 Economic growth, development, planning HJ7461-7980 Expenditures. Government spending Capital expenditure (capex) decisions have been extensively studied except in developing countries (Mansor and Hamidi, 2008). Capex implicitly affects institutional aggregate demand, gross national product and business cycles. This research focuses on the capex decisions by Malaysian public listed companies (PLCs) between the years 2002 to 2006. Using the Pecking Order Hypothesis (POH) and Managerial Hypothesis (MH) frameworks, four independent variables are examined. These are (i) internal cash flows (ICF); (ii) Insider Ownership (I_O); (iii) Investment Opportunities (IOP); and (iv) the interaction effects of the variables. In addition, sales revenue is used as a control variable. Both hypotheses predict a positive effect of (IFC) on capex. However, their arguments differ in relation to the effects of (I_O) on capex. MH argues for a negative relationship but POH proposes no effect between the two. POH suggests a positive effect of (IOP) on capex whereas MH predicts no relationship between them. Using a pool Ordered Logistic Regression (OLR) model, capex is categorized into five ordinal categories and the control variable is divided into four groups, which are ranked to capture the variability of the capex. The result of this study shows that the (ICF) has a positive and significant effect on capex, and this finding supports both studied hypotheses. However, (I_O) and (IOP) show a negative and significant effect on capex. The study also found that there is a conflict of interest between managers and shareholders base on the negative coefficient of (I_O). This finding is consistent with Kim (2006) and supports the MH. This study provides mixed-support for the two hypotheses and reveals interesting characteristics with regards to the managerial style in Malaysian PLCs. Penerbit UMS 2013 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/30802/1/Capital%20expenditure%20decisions.pdf text en https://eprints.ums.edu.my/id/eprint/30802/2/Capital%20expenditure%20decisions1.pdf Masyhuri Hamidi and Noorhayati Mansor and Rozilee Asid (2013) Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis. Journal of the Asian Academy of Applied Business, 2. pp. 85-104. ISSN 1675-9869 https://jurcon.ums.edu.my/ojums/index.php/JAAAB/article/view/962 https://doi.org/10.51200/jaaab.v2i0.962 https://doi.org/10.51200/jaaab.v2i0.962
spellingShingle HD72-88 Economic growth, development, planning
HJ7461-7980 Expenditures. Government spending
Masyhuri Hamidi
Noorhayati Mansor
Rozilee Asid
Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis
title Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis
title_full Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis
title_fullStr Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis
title_full_unstemmed Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis
title_short Capital expenditure decisions: a study of Malaysian listed companies using an ordered logistic regression analysis
title_sort capital expenditure decisions a study of malaysian listed companies using an ordered logistic regression analysis
topic HD72-88 Economic growth, development, planning
HJ7461-7980 Expenditures. Government spending
url https://eprints.ums.edu.my/id/eprint/30802/1/Capital%20expenditure%20decisions.pdf
https://eprints.ums.edu.my/id/eprint/30802/2/Capital%20expenditure%20decisions1.pdf
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AT noorhayatimansor capitalexpendituredecisionsastudyofmalaysianlistedcompaniesusinganorderedlogisticregressionanalysis
AT rozileeasid capitalexpendituredecisionsastudyofmalaysianlistedcompaniesusinganorderedlogisticregressionanalysis