This page has only limited features, please log in for full access.
The ability of farmers to operate redistributed farms in a profitable and sustainable manner is crucial for both successful integration into agricultural value chains and sustainable production systems. The performance of redistributed farms is becoming increasingly important as the number of redistributed farms increases in light of correcting previous anomalies in land ownership in South Africa while ensuring continued food security. Although much has been done to assess the impact of land reform on macro variables, little has been done to unpack factors associated with the success of redistributed farms. Using a sample of 1956 redistributed farms across the nine provinces of South Africa, the current study employs an ordinary least square regression as well as a generalised logistic regression model to identify factors associated with the success (measured by net farm income and probability to operate at commercially viable scale) of the sampled farms. The results show that infrastructure, support (both technical and financial), and type of market used are significantly associated with the performance of redistributed farms. In addition, the results reveal disparities in performance across provinces and across gender categories. The study provides valuable insight to programme managers on the factors that needs to be enhanced in order to increase the odds of success for redistributed farms.
Colleta Gandidzanwa; Aart Jan Verschoor; Thabo Sacolo. Evaluating Factors Affecting Performance of Land Reform Beneficiaries in South Africa. Sustainability 2021, 13, 9325 .
AMA StyleColleta Gandidzanwa, Aart Jan Verschoor, Thabo Sacolo. Evaluating Factors Affecting Performance of Land Reform Beneficiaries in South Africa. Sustainability. 2021; 13 (16):9325.
Chicago/Turabian StyleColleta Gandidzanwa; Aart Jan Verschoor; Thabo Sacolo. 2021. "Evaluating Factors Affecting Performance of Land Reform Beneficiaries in South Africa." Sustainability 13, no. 16: 9325.
This paper quality adjusts machinery inputs for South African agriculture. It does this by treating different qualities of machinery as separate inputs. Thus, quality adjustment becomes quantity adjustment when there is sufficient disaggregation. This matters because many mechanical and chemical inputs have been transformed by technological progress. If this is not taken into account, the inputs are under-counted and total factor productivity (TFP) calculations are not accurate. Gandidzanwa and Liebenberg (2016) estimated the proportion machinery to implements and used this series to scale up the tractor series, instead of assuming fixed proportions. This study quality adjusts the machinery and implements input series by applying a greater level of disaggregation and by careful monitoring of model turnover. The number of models monitored was increased tenfold. Removing tractor improvements resulted in a price index that grew more slowly than the official index. Thus, the tractor stock value series is deflated less and by 2015 was 53% larger than in the official figures. The service flow entering the TFP calculations will be similarly increased, so there is less residual to be attributed to TFP growth. If all the inputs were equally undercounted, the TFP estimate would be double its true value.
Colleta Gandidzanwa; Frikkie Liebenberg; Ferdi Meyer; Beatrice Conradie. Quality adjusting agricultural machinery in South Africa. Agrekon 2019, 58, 42 -52.
AMA StyleColleta Gandidzanwa, Frikkie Liebenberg, Ferdi Meyer, Beatrice Conradie. Quality adjusting agricultural machinery in South Africa. Agrekon. 2019; 58 (1):42-52.
Chicago/Turabian StyleColleta Gandidzanwa; Frikkie Liebenberg; Ferdi Meyer; Beatrice Conradie. 2019. "Quality adjusting agricultural machinery in South Africa." Agrekon 58, no. 1: 42-52.
Data limitations lead to the use of assumptions that compromise studies on the measurement of capital in the national accounts and its impact on productivity analysis in South Africa. In the estimation of physical capital such as machinery and implements, a possible approach is to use the ratio of the value of tractor sales to overall expenditure to impute overall machinery sales. The use of a constant ratio over an extended period results in increasingly incorrect estimates and fails to reveal the changing nature of mechanisation. In this article, the problems with such an approach are highlighted through an analysis of the historic share of tractor sales to overall machinery sales in South Africa. This article establishes that the current methods have led to underestimation in the overall value of machinery and implements sales in South Africa by approximately a billion rand per annum for recent years. An alternative method is suggested and the implications of a new capital formation series are discussed.
Colleta Gandidzanwa; Frikkie Liebenberg. Towards a New Capital Formation Series for Machinery in South African Agriculture. Agrekon 2016, 55, 216 -236.
AMA StyleColleta Gandidzanwa, Frikkie Liebenberg. Towards a New Capital Formation Series for Machinery in South African Agriculture. Agrekon. 2016; 55 (3):216-236.
Chicago/Turabian StyleColleta Gandidzanwa; Frikkie Liebenberg. 2016. "Towards a New Capital Formation Series for Machinery in South African Agriculture." Agrekon 55, no. 3: 216-236.