墨西哥食品工业生产和投资效率分析——两阶段DEA的应用

IF 1.2 4区 农林科学 Q4 FOOD SCIENCE & TECHNOLOGY
M. Flegl, Carlos Alberto Jiménez-Bandala, Isaac Sánchez-Juárez, E. Matus
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引用次数: 4

摘要

墨西哥的食品行业是一个不稳定的行业,落后于其他制造业,主要由中小型企业组成。它在国家粮食保障中的重要性要求对产量和效率变量进行战略监测,以便成功地采取干预措施来改善结果。通常,农业部门的效率是通过使用一组特定变量的一阶段数据包络分析(DEA)过程来评估的。在这篇文章中,我们应用了一个两阶段的过程来评估墨西哥食品工业的效率。第一阶段评估生产效率,而第二阶段评估该部门的投资效率。使用2014年和2019年人口普查的数据,在1672个墨西哥城市的样本中展示了这一过程。结果表明,生产效率有所提高,各地区之间存在显著差异。此外,研究结果还显示,整个食品部门的投资效率非常低,而且有负面趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of production and investment efficiency in the Mexican food industry: Application of two-stage DEA
The food industry in Mexico is a precarious sector and lags behind other manufacturing industries, it is made up mainly of small and medium-sized enterprises. Its importance in the food assurance of the country requires strategic monitoring of the yield and efficiency variables that allow successful interventions to improve results. Commonly, the efficiency in the agriculture sector is evaluated as a one-stage data envelopment analysis (DEA) process using a specific set of variables. In this article, we applied a two-stage process to evaluate the efficiency in the Mexican food industry. The first stage evaluates the efficiency of the production, whereas the second stage evaluates the efficiency of investments in the sector. The process is demonstrated on a sample of 1 672 Mexican municipalities using data from 2014 and 2019 Census. The results indicate a growth in production efficiency with significant differences between regions. Moreover, the results also revealed very low investment efficiency in the whole food sector with a negative tendency.
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来源期刊
Czech Journal of Food Sciences
Czech Journal of Food Sciences Food Science & Technology, Chemistry-食品科技
CiteScore
2.60
自引率
0.00%
发文量
48
审稿时长
7 months
期刊介绍: Original research, critical review articles, and short communications dealing with food technology and processing (including food biochemistry, mikrobiology, analyse, engineering, nutrition and economy). Papers are published in English.
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