Socio‐economic factors determining the success achieved among cotton‐adopting households in two magisterial districts of KwaZulu

The aim of the paper is to investigate certain aspects of the post‐adoption behaviour of dryland cotton farmers in the Ubombo and Hlabisa magisterial districts of KwaZulu. Particular attention is paid to the socio‐economic determinants of the success (returns per hectare) of the household cotton enterprise.

Multi‐stage sampling methods were used to draw a random sample of fifty cotton‐farming households from each of the two study districts. The data were collected by interview survey and analysed using principal components and regression techniques.

Results suggest that the success of the household enterprise in both areas is largely determined by the socio‐economic environment under which the producer operates. The most important success‐determining factors are those relating to the human capital endowments and economic status of the household.     

A COMPARISON OF PERFORMANCE INDICATORS FOR TRAINING AND ENTERPRISE COUNCILS IN THE UK

ABSTRACT ** : The use of performance indicators for the evaluation and comparison of efficiency in service provision in the public and related sectors of the economy is continuously developing. While they often represent a step forward, to the extent that they focus attention on the objectives of the organization in question, it is frequently suspected that they fail to take into account non-controllable environmental factors. To do so requires multivariate techniques of analysis. This paper compares the results of three such methods with the raw performance indicators. It confirms the importance of non-controllable factors but also shows that different multivariate methods give results which do not always agree. Understanding the properties of different approaches is essential in drawing conclusions about performance.     

A comparison of alternative methods of updating input-output coefficients

In recent years there has been a growing number of input-output models of economies ranging in scale from the rural to the national. While offering invaluable insights into the interaction of sectors within an economy, the input-output model suffers from the fact that its coefficient values are altered over time due particularly to technological change. Two of the prominent techniques designed to update these technical coefficients, the RAS and linear programming methods, are compared herein with regard to changes in U.S. national coefficients between 1963 and 1967. Suggestions for improvements to the latter method are outlined.