使用混合DEA和机器学习方法的女性家禽养殖户效率管理:以喜马拉雅北孟加拉邦shg为基础的生产为例

A. Nandy, Poulomi Chaki Nandi, Mousumi Chatterjee
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引用次数: 0

摘要

数据包络分析(DEA)提供了一种线性规划方法来评估生产和服务部门不同领域的效率,广泛应用于有效的绩效测量操作。数据分析已在农业中找到了有用的应用,以审查可持续消费的最佳资源利用。过去的研究采用了常用的两步法,即采用DEA和回归模型来解释外生因素对效率的影响。本文旨在将传统的DEA方法与机器学习(ML)模型相结合,以建立一种新的替代方法来衡量绩效,并预测影响喜马拉雅北孟加拉邦围绕大吉岭西里古里地区的妇女自助团体(SHGs)领导的家禽养殖户效率的关键外生因素。为此,在第一步中,采用DEA测量了属于20个SHGs的80名女性家禽养殖户的效率,在第二步中,采用最先进的随机森林(RF)技术预测了最重要的效率影响变量。结果表明,SHG妇女的效率低下,有效单位和低效单位之间差异很大。利用RF模型预测了影响这些女农民效率的重要因素,如非政府组织的作用、教育水平、金融包容性、土地持有和家禽饲养经验等。因此,DEA-ML混合方法可用于解决家禽生产中的不利条件,从而可能帮助农村妇女发展以农业为基础的收入。
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Efficiency Management of Women Poultry Farmers Using Hybrid DEA and Machine Learning Approach: A Case of SHG-based Production in Sub-Himalayan North Bengal
Data envelopment analysis (DEA) offers a linear programming approach to evaluate the efficiency in diverse fields of production and service sectors with wide utilization for effective performance measurement operations. DEA has found its useful applications in agriculture to examine optimal resource use for sustainable consumption. The popularly used two-step process where DEA is employed along with a regression model to explain the impact of exogenous factors on efficiency has been employed in past studies. This article aims to combine the conventional DEA approach with machine learning (ML) models for establishing a novel alternative method for performance measurement as well as the prediction of key exogenous factors affecting the efficiency of the women self-help groups (SHGs) led poultry farmers in sub-Himalayan North Bengal surrounding the Siliguri region of Darjeeling district. For this purpose, in the first step, DEA was employed to measure the efficiency of 80 women poultry farmers belonging to 20 SHGs and in the second step, the state-of-the-art random forest (RF) technique has been employed to predict the most important efficiency influencing variables. The results suggested inefficiencies among the SHG women with wide variation between the efficient and inefficient units. The use of the RF model predicted important factors such as the role of non-governmental organizations, educational level, financial inclusion, landholding and poultry rearing experience in years to impact the efficiency of these women farmers. As a result, the hybrid DEA-ML approach is useful to tackle ill adversities in poultry production that may help the women SHGs to develop agriculture-based income.
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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
121
期刊介绍: Vision-The Journal of Business Perspective is a quarterly peer-reviewed journal of the Management Development Institute, Gurgaon, India published by SAGE Publications. This journal contains papers in all functional areas of management, including economic and business environment. The journal is premised on creating influence on the academic as well as corporate thinkers. Vision-The Journal of Business Perspective is published in March, June, September and December every year. Its targeted readers are researchers, academics involved in research, and corporates with excellent professional backgrounds from India and other parts of the globe. Its contents have been often used as supportive course materials by the academics and corporate professionals. The journal has been providing opportunity for discussion and exchange of ideas across the widest spectrum of scholarly opinions to promote theoretical, empirical and comparative research on problems confronting the business world. Most of the contributors to this journal range from the outstanding and the well published to the upcoming young academics and corporate functionaries. The journal publishes theoretical as well as applied research works.
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