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Sustainability 2018, 10(10), 3622;

How to Effectively Improve Pesticide Waste Governance: A Perspective of Reverse Logistics

School of Political Science and Public Administration, East China University of Political Science and Law, Shanghai 201620, China
College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Author to whom correspondence should be addressed.
Received: 19 September 2018 / Revised: 5 October 2018 / Accepted: 6 October 2018 / Published: 10 October 2018
(This article belongs to the Special Issue Rural Sustainable Environmental Management)
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With the development of modern science and technology, agricultural production and quality have made major breakthroughs, followed by more and more pesticide waste. Pesticide waste refers to the packaging of pesticide residues. Pesticide waste will cause great damage to soil, water and human health, seriously affecting the ecological sustainability. Most of the existing literature is theoretical articles, and few empirical studies are provided on how to improve pesticide waste management. In this paper, a set of reverse logistics network models of pesticide wastes is constructed, and the framework of reverse logistics is used to realize the efficient recovery and treatment of pesticide wastes. The problem of how to collect pesticide wastes and how to optimize the location and flow allocation of facilities such as recycling center and treatment center was solved. The weights of the factors affecting the reverse logistics network model are determined by using the network analytic hierarchy process. Under the conditions of minimizing the cost and minimizing the negative externality, the mixed integer model programming method is used to make the optimal location decision and flow distribution. Finally, taking the JT area of China as an example, the results of the reverse logistics network model of pesticide wastes are demonstrated. The results show that the scheme is feasible. View Full-Text
Keywords: pesticide waste; reverse logistics; empirical model; sustainable development pesticide waste; reverse logistics; empirical model; sustainable development

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Li, Z.; Huang, J. How to Effectively Improve Pesticide Waste Governance: A Perspective of Reverse Logistics. Sustainability 2018, 10, 3622.

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