Doctoral Degrees (Business Management)

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Browsing Doctoral Degrees (Business Management) by Subject "Capital intensity -- South Africa -- Measurement"

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    Determining a method to measure the capital intensity for enterprises listed in the industrial sector of the Johannesburg Stock Exchange for the period 1989 to 1996
    (Stellenbosch : Stellenbosch University, 2001-04) Erasmus, Petrus Daniel; Lambrechts, I. J.; Le Roux, N. J.; Stellenbosch University. Faculty of Economic and Management Sciences. Department of Business Economics.
    ENGLISH ABSTRACT: A definite need exists for a measure which can be used to determine the degree of capital intensity of an enterprise. One of the main reasons why it is important to determine if an enterprise is capital or labour intensive is that the two types of enterprises react to changes in the economic environment in different ways. Some changes in the economic factors will have a totally different effect on a capital intensive enterprise than they would have on a labour intensive one. The degree of capital intensity of an enterprise can therefore be used to predict how it will react to economic changes, and it is therefore a valuable source of information for financial decision-making. The measurement of capital intensity, however, presents a major problem. A large number of different measures have been developed and used in the literature. These measures include the measures of total assets to revenue; property, plant and equipment to revenue; property, plant and equipment to total assets; depreciation as a percentage of revenue; as well as property, plant and equipment per employee. A number of measures are also based on value added figures, and these include salaries to revenue; value added per employee; property, plant and equipment to value added; and salaries to value added. In the literature most researchers provide no or little justification for their preferred measure of capital intensity. The main objective of the study is to determine an appropriate method to measure capital intensity. For this purpose the above-mentioned measures, which are generally used to determine capital intensity, are considered critically and evaluated by classifying enterprises listed in the Industrial Sector of the Johannesburg Stock Exchange during the period 1989 to 1996. During this period the South African economy experienced a decline, followed by an upswing in the economic cycle. Principal component analyses (PCA) are used to analyse the data. These analyses are carried out for each year separately as well as for the period as a whole. Biplots are used to provide a multidimensional graphic representation of the results. The results indicate that the five traditional measures of capital intensity which are not based on value added figures are all suitable to use as measures of capital intensity. Only one of the measures based on value added figures, however, are able to indicate capital intensity. The five traditional measures of capital intensity which are not based on value added figures, as well as the measure property, plant and equipment to value added, are therefore included in the principal component analyses. The principal component scores obtained from the first principal component are proposed as a composite measure of capital intensity. These principal component scores represent a linear combination of the six measures of capital intensity. The relative contributions of the various measures to this composite measure are also investigated, and it is found that all six the measures provide an important contribution. The results indicate that a number of enterprises listed in the Stores and Food sectors are relatively less capital intensive, while enterprises listed in the Building and Construction, Engineering, Steel and Allied, and Electronics sectors are relatively capital intensive. A visual evaluation of the results indicates that the proposed method IS able to distinguish between capital and less capital intensive enterprises. The results of the study provide researchers with a more efficient way of measuring capital intensity, and can be used to provide more information about the effect of changes in the economic cycle on the expected financial performance of enterprises.