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Quality adjusting agricultural machinery in South Africa

机译:南非的质量调整农业机械

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摘要

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.
机译:本文质量调整南非农业的机械投入。它通过将不同的机器品质视为单独的输入来实现这一点。因此,当有足够的分解时,质量调整变为数量调整。这事项是因为通过技术进步改变了许多机械和化学投入。如果没有考虑到这一点,则会估计输入,并且总因素生产率(TFP)计算不准确。 Gandidzanwa和Liebenberg(2016年)估计了实现的比例和使用本系列来扩大拖拉机系列,而不是假设固定的比例。本研究质量通过应用更高水平的分辨率和仔细监测模型转换来调整机器和实现输入系列。监控的模型数量增加了十倍。删除拖拉机的改善导致价格指数比官方指数更慢。因此,拖拉机股票价值序列较少,到2015年比官方数字大53%。进入TFP计算的服务流程将类似地增加,因此归因于TFP增长较少。如果所有输入都同样欠压,则TFP估计将是其真实值的两倍。

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