Modelling the drivers for sustainable agri-food waste management

Author:

Chauhan Ankur,Debnath Roma Mitra,Singh Surya Prakash

Abstract

Purpose The waste of invaluable agri-food produce is the concern of United Nations Organisation and all countries across the world. The purpose of this paper is to identify and model the drivers of agri-food waste management in India. Design/methodology/approach The interpretive structural modelling method is used to model the drivers in this study. This method helps in understanding the driver-dependent relationships among various drivers/criteria which are selected for studying. Findings The findings of the study vividly shows that the drivers such as disaster management planning, information dissemination, and training and awareness programs for farmers are most vital for tackling the issue. Research limitations/implications This work would help the policy makers in developing the effective policies regarding the management of agri-food waste in a sustainable manner. Practical implications This work would be very helpful for deeply understanding the causes of occurring waste and carefully handling it scientifically with a managerial perspective. Hence, it has the potential to reduce the generation of waste and saving the food for society. Social implications With the help of this study, the people, society, and underprivileged will be benefited directly. The savings in agri-food waste will not only help in controlling the prices of it but also its more availability would be beneficial for all in beating the hunger. Originality/value The identification of drivers for the sustainable management of agri-food is the novelty of this research.

Publisher

Emerald

Subject

Business and International Management,Strategy and Management

Reference49 articles.

1. Pesticide use and application: an Indian scenario;Journal of Hazardous Materials,2009

2. Alexandratos, N. and Bruinsma, J. (2012), “World agriculture towards 2015/2030: the 2012 revision”, ESA working paper, Vol. 12, Rome.

3. Chitosan coatings enriched with active shrimp waste for shrimp preservation;Food Control,2015

4. Structural analysis with the MICMAC method & actor’s strategy with MACTOR method,1999

5. Biswas, A.K. and Tortajada, C. (2014), “India must tackle food waste”, available at: www.weforum.org/agenda/2014/08/india-perishable-food-waste-population-growth/ (accessed 25 July 2016).

Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3