The evaluation of productivity in South African deciduous fruit industry: evidence from stone and pome fruits

IF 2.3 4区经济学 Q3 BUSINESS

Journal of Productivity Analysis Pub Date : 2023-11-06 DOI:10.1007/s11123-023-00711-1

Lindikaya W. Myeki, Omphile Temoso, Bonani Nyhodo

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Abstract

Abstract This study examines the total factor productivity (TFP) of the South African deciduous fruit sector over an 8-year period (2014–2021), using industry-level data for five fruit types (apples, pears, plums, apricots, and peaches). TFP growth was estimated using the Färe-Primont (FP) index and decomposed into technical change (TECH) and efficiency change (TFPE). The results show that the TFP of the industry increased by 27% (3.53% per year) due to a 35% (4.38% per year) increase in technical change, while TFPE decreased by 6% (−0.81% per year). The TFPE breakdown into technical efficiency (OTE) and scale-mix efficiency (OSME) reveals that 6% decrease in OSME was entirely responsible for TFPE slowdown, while OTE remained unchanged. While both sub-sector contributions were significant, stone fruit grew at a faster rate (32%, or 4.05% per year) than the pome sub-sector (21%, or 2.74% per year). Overall, entire industry, sub-sectors, and fruit types show that TECH was key to TFP growth, whereas TFPE slowed it. Investments in efficiency support programmes have the potential to enhance sector growth.

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南非落叶果业生产力评价:来自石果和梨果的证据

摘要本研究利用五种水果类型(苹果、梨、李子、杏和桃子)的行业数据，对南非落叶水果行业8年(2014-2021年)的全要素生产率(TFP)进行了研究。利用Färe-Primont (FP)指数估算全要素生产率增长，并将其分解为技术变化(TECH)和效率变化(TFPE)。结果表明，由于技术变化幅度增加35%(4.38% /年)，产业TFP增长了27%(3.53% /年)，而TFPE下降了6%(- 0.81% /年)。TFPE细分为技术效率(OTE)和规模混合效率(OSME)，结果表明，OSME下降6%是TFPE放缓的主要原因，而OTE保持不变。尽管这两个子行业的贡献都很显著，但核果的增长速度更快(32%，即每年4.05%)，而梨果的增长速度更快(21%，即每年2.74%)。总体而言，整个行业、子行业和水果类型表明，技术是全要素生产率增长的关键，而全要素生产率则减缓了全要素生产率的增长。对效率支助方案的投资有可能促进部门增长。

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来源期刊

Journal of Productivity Analysis Multiple-

CiteScore

3.10

自引率

6.20%

发文量

期刊介绍： The Journal of Productivity Analysis publishes theoretical and applied research that addresses issues involving the measurement, explanation, and improvement of productivity. The broad scope of the journal encompasses productivity-related developments spanning the disciplines of economics, the management sciences, operations research, and business and public administration. Topics covered in the journal include, but are not limited to, productivity theory, organizational design, index number theory, and related foundations of productivity analysis. The journal also publishes research on computational methods that are employed in productivity analysis, including econometric and mathematical programming techniques, and empirical research based on data at all levels of aggregation, ranging from aggregate macroeconomic data to disaggregate microeconomic data. The empirical research illustrates the application of theory and techniques to the measurement of productivity, and develops implications for the design of managerial strategies and public policy to enhance productivity. Officially cited as: J Prod Anal