Data challenges in the measurement of agricultural productivity: Lessons from Chile

IF 0.7 4区 农林科学 Q3 AGRICULTURE, MULTIDISCIPLINARY
B. Bravo‐Ureta, R. Jara‐Rojas, Víctor H. Moreira, Patricio Riveros
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引用次数: 1

Abstract

Productivity measurement and analysis have motivated considerable theoretical and empirical work in recent decades. Models that have enjoyed noticeable expansion are stochastic production frontiers for panel data. These models have proven very useful in total factor productivity (TFP) measurement and the analyses of its components. However, the related empirical literature in Latin America and the Caribbean has been limited, and a likely reason for this gap is data constraints. This article examines the setting surrounding the measurement and analysis of productivity in the Chilean agricultural sector. The specific objectives are to (1) provide a summary of key agricultural productivity measures and recent associated methodological advances; (2) present an overview of micro studies reporting technical efficiency and TFP in Chile; (3) portray the major sources of agricultural data available in the country; and (4) discuss salient features of the agricultural data systems used in Australia and the United States. The paper ends by identifying challenges and possible improvements to the prevailing data system that could strengthen the measurements and monitoring of productivity in Chile. The analysis suggests that the country needs substantial improvements in the collection and analysis of agricultural statistics to develop TFP and related research. This line of work is a critical step to enhance competitiveness and to foster adaptations to climate change, as well as to fully participate in efforts sponsored by the IFAD, FAO and the OECD to monitor progress toward the SDGs. On the positive side, several avenues are available to move toward a more robust agricultural statistical architecture.
衡量农业生产率的数据挑战:来自智利的经验教训
近几十年来,生产力测量和分析激发了大量的理论和实证工作。已显著扩展的模型是面板数据的随机生产前沿。这些模型已被证明在全要素生产率(TFP)的测量和其组成部分的分析中非常有用。然而,拉丁美洲和加勒比地区的相关经验文献有限,造成这种差距的一个可能原因是数据限制。本文考察了智利农业部门生产率测量和分析的环境。具体目标是:(1)提供关键农业生产力指标和最近相关方法进展的总结;(2)综述了智利技术效率和全要素生产率的微观研究;(3)描述该国现有农业数据的主要来源;(4)讨论澳大利亚和美国使用的农业数据系统的显著特征。论文最后指出了现有数据系统的挑战和可能的改进,以加强对智利生产力的测量和监测。分析表明,该国需要在农业统计数据的收集和分析方面进行实质性改进,以发展全要素生产率和相关研究。这一工作方向是提高竞争力和促进适应气候变化的关键一步,也是充分参与农发基金、粮农组织和经合组织为监测可持续发展目标进展而发起的努力的关键一步。从积极的方面来看,有几种途径可以实现更健全的农业统计架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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