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首页> 外文期刊>Energy >A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production
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A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production

机译：一种非参数数据包络分析方法，可提高葡萄生产的能源效率

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摘要

Grape is one of the world's largest fruit crops with approximately 67.5 million tonnes produced each year and energy is an important element in modern grape productions as it heavily depends on fossil and other energy resources. Efficient use of these energies is a necessary step toward reducing environmental hazards, preventing destruction of natural resources and ensuring agricultural sustainability. Hence, identifying excessive use of energy as well as reducing energy resources is the main focus of this paper to optimize energy consumption in grape production. In this study we use a two-stage methodology to find the association of energy efficiency and performance explained by farmers' specific characteristics. In the first stage a non-parametric Data Envelopment Analysis is used to model efficiencies as an explicit function of human labor, machinery, chemicals, FYM (farmyard manure), diesel fuel, electricity and water for irrigation energies. In the second step, farm specific variables such as farmers' age, gender, level of education and agricultural experience are used in a Tobit regression framework to explain how these factors influence efficiency of grape farming. The result of the first stage shows substantial inefficiency between the grape producers in the studied area while the second stage shows that the main difference between efficient and inefficient farmers was in the use of chemicals, diesel fuel and water for irrigation. The use of chemicals such as insecticides, herbicides and fungicides were considerably less than inefficient ones. The results revealed that the more educated farmers are more energy efficient in comparison with their less educated counterparts.
机译：葡萄是世界上最大的水果作物之一，每年产量约为6750万吨，能源是现代葡萄生产中的重要元素，因为它严重依赖化石和其他能源。有效利用这些能源是减少环境危害，防止自然资源破坏和确保农业可持续性的必要步骤。因此，识别过度使用能源以及减少能源资源是本文的重点，以优化葡萄生产中的能源消耗。在本研究中，我们使用两阶段方法来找到由农民的具体特征解释的能源效率和绩效之间的关联。在第一阶段，非参数数据包络分析用于对效率进行建模，该效率是人工，机械，化学药品，FYM（农家粪肥），柴油，电力和灌溉能源用水的明确函数。第二步，在Tobit回归框架中使用特定于农场的变量，例如农民的年龄，性别，受教育程度和农业经验，来解释这些因素如何影响葡萄种植的效率。第一阶段的结果表明，研究区域的葡萄生产者之间的效率低下，而第二阶段则表明，有效率和无效率的农民之间的主要区别在于使用化学药品，柴油和水进行灌溉。诸如杀虫剂，除草剂和杀真菌剂等化学物质的使用大大少于低效的化学物质。结果表明，与受教育程度较低的农民相比，受教育程度较高的农民具有更高的能源效率。

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