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Quality adjusting agricultural machinery in South Africa
Agrekon ( IF 1.3 ) Pub Date : 2019-01-02 , DOI: 10.1080/03031853.2018.1545682
Colleta Gandidzanwa 1 , Frikkie Liebenberg 1 , Ferdi Meyer 1 , Beatrice Conradie 2
Affiliation  

ABSTRACT 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.

中文翻译:

南非农机质量调整

摘要 本文质量调整了南非农业的机械投入。它通过将不同质量的机器视为单独的输入来实现这一点。因此,当有足够的分解时,质量调整变成数量调整。这很重要,因为技术进步已经改变了许多机械和化学投入。如果不考虑这一点,投入就会被低估,全要素生产率 (TFP) 计算将不准确。Gandidzanwa 和 Liebenberg (2016) 估计了机具的比例机械并使用该系列扩大了拖拉机系列,而不是假设固定比例。这项研究质量通过应用更大程度的分解和仔细监控模型周转来调整机制并实施输入序列。监测的模型数量增加了十倍。取消拖拉机改进导致价格指数比官方指数增长更慢。因此,拖拉机股票价值系列的缩水幅度较小,到 2015 年比官方数据大 53%。进入 TFP 计算的服务流将同样增加,因此可归因于 TFP 增长的剩余更少。如果所有投入都同样被低估,TFP 估计将是其真实值的两倍。因此,归因于 TFP 增长的残余较少。如果所有投入都同样被低估,TFP 估计将是其真实值的两倍。因此,归因于 TFP 增长的残余较少。如果所有投入都同样被低估,TFP 估计将是其真实值的两倍。
更新日期:2019-01-02
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