{"title":"南非落叶果业生产力评价:来自石果和梨果的证据","authors":"Lindikaya W. Myeki, Omphile Temoso, Bonani Nyhodo","doi":"10.1007/s11123-023-00711-1","DOIUrl":null,"url":null,"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.","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"25 1","pages":"0"},"PeriodicalIF":2.3000,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The evaluation of productivity in South African deciduous fruit industry: evidence from stone and pome fruits\",\"authors\":\"Lindikaya W. Myeki, Omphile Temoso, Bonani Nyhodo\",\"doi\":\"10.1007/s11123-023-00711-1\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":16870,\"journal\":{\"name\":\"Journal of Productivity Analysis\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Productivity Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11123-023-00711-1\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Productivity Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11123-023-00711-1","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
The evaluation of productivity in South African deciduous fruit industry: evidence from stone and pome fruits
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.
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