Livestock production efficiency, technological heterogeneity, and total factor productivity dynamics in the world's top 50 livestock-producing countries

IF 7.2 Q1 AGRICULTURE, MULTIDISCIPLINARY
Journal of Agriculture and Food Research Pub Date : 2026-08-01 Epub Date: 2026-07-24 DOI:10.1016/j.jafr.2026.103168
Wasi Ul Hassan Shah, Gang Hao, Rizwana Yasmeen, Jie Wu, Shuangye Cai, Xiaowei Xu
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引用次数: 0

Abstract

Livestock production plays a critical role in global food security and economic development, yet significant disparities in productivity and efficiency persist across regions. This study provides a comprehensive assessment of global livestock productivity by simultaneously evaluating technical efficiency, technological heterogeneity, and productivity dynamics across 50 major livestock-producing economies, an integrated approach that addresses a critical gap in the existing literature, where these dimensions have largely been examined in isolation. The study employs an integrated analytical framework that combines: (i) a Slacks-Based Measure DEA model to estimate group-specific and meta-frontier efficiency scores; (ii) meta-frontier analysis to compute technology gap ratios (TGRs) across income groups; and (iii) the Malmquist-Luenberger Productivity Index to decompose total factor productivity change into efficiency change and technical change components. The findings show significant differences in efficiency. High-Income countries exhibit near-frontier performance, with meta-frontier efficiency of 0.8163 and technology gap ratio of 0.9355, indicating strong technological alignment with global best practices, followed by Lower-Middle Income (0.7278, TGR 0.7569) and Upper-Middle Income (0.6612, TGR 0.8006), while the Low-Income countries achieved 0.8508 LSPE-MF and 0.8508 TGR. 19 countries, including Brazil, Canada, China, Colombia, Ecuador, Germany, India, Japan, Mexico, Myanmar, the Netherlands, New Zealand, Pakistan, Russia, Spain, Switzerland, Tanzania, the United States, and Viet Nam are at the global efficiency frontier. Global TFP increased by an average of 2.0% annually, largely due to improvements in technical efficiency (2.1%), while technological progress contributed only marginally (−0.1%). The capacity for productivity growth is highest in Lower-Middle Income countries, with both efficiency improvement and technological progress contributing to productivity growth on average of 2.8% per year, while Low-Income countries experience productivity decline (MLI = 0.922) through severe efficiency decline. The Kruskal-Wallis test also shows that the differences in LSPE-MF, TGR and MLI are statistically significant for p = 0.000, p = 0.000 and p = 0.001, respectively. The results suggest that most of the gains in global livestock productivity in the 24-year study period have been realized across existing livestock frontiers, rather than by innovations in the frontier. Policies must focus on the transfer of technologies to the less developed regions and greater investments in livestock research and development to speed convergence to the global production frontier.

Abstract Image

世界前50个畜牧业生产国的畜牧业生产效率、技术异质性和全要素生产率动态
畜牧业生产在全球粮食安全和经济发展中发挥着关键作用,但各区域在生产力和效率方面仍然存在巨大差异。本研究通过同时评估50个主要畜牧生产经济体的技术效率、技术异质性和生产力动态,对全球畜牧业生产力进行了全面评估,这是一种综合方法,解决了现有文献中这些方面在很大程度上是孤立研究的一个关键空白。本研究采用了一个综合分析框架,该框架结合:(i)基于slacks的测度DEA模型来估计群体特定和元前沿效率得分;(ii)元前沿分析,计算不同收入群体的技术差距比率(TGRs);(3) Malmquist-Luenberger生产率指数,将全要素生产率变化分解为效率变化和技术变化两个分量。研究结果显示,在效率方面存在显著差异。高收入国家表现出近前沿绩效,其元前沿效率为0.8163,技术差距比为0.9355,表明与全球最佳实践的技术一致性强,其次是中低收入国家(0.7278,TGR 0.7569)和中高收入国家(0.6612,TGR 0.8006),而低收入国家的lsp - mf和TGR分别为0.8508和0.8508。包括巴西、加拿大、中国、哥伦比亚、厄瓜多尔、德国、印度、日本、墨西哥、缅甸、荷兰、新西兰、巴基斯坦、俄罗斯、西班牙、瑞士、坦桑尼亚、美国和越南在内的19个国家处于全球效率前沿。全球全要素生产率平均每年增长2.0%,主要是由于技术效率的提高(2.1%),而技术进步的贡献很小(- 0.1%)。中低收入国家的生产率增长能力最高,效率提高和技术进步对生产率增长的贡献平均每年为2.8%,而低收入国家由于效率严重下降而经历生产率下降(MLI = 0.922)。Kruskal-Wallis检验还显示,LSPE-MF、TGR和MLI的差异分别在p = 0.000、p = 0.000和p = 0.001时具有统计学意义。结果表明,在24年的研究期间,全球畜牧业生产力的大部分增长都是在现有的畜牧业前沿实现的,而不是通过前沿创新实现的。政策必须侧重于向欠发达地区转让技术和加大对畜牧业研发的投资,以加快向全球生产前沿的趋同。
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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来源期刊
CiteScore
5.40
自引率
2.60%
发文量
193
审稿时长
69 days
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