Abstract
Due to population growth and human activities, water shortages have become an increasingly serious concern in recent years. The agri-food industry is the largest water-consuming industry among all industries, and various efforts have been made to reduce the loss of water in the agricultural supply chain. Improving the resilience of water resource management is a key measure to reduce the risks in the agricultural supply chain. This study aims to identify the factors affecting the resilience of water management in the agricultural supply chain and to help manage the risks related to water resources use. A total of 14 factors are selected from five dimensions of society, economy, environment, institution, and crop characteristics, and an index institution is constructed. This was used to determine the level and importance of each factor. Data were collected through a questionnaire survey involving 28 experts from the agricultural industry in Northwest China, as well as a thorough literature analysis and interactions with experts. Using a combination of an interpretative structural model (ISM) and an analytical network process (ANP), a hierarchical structure model was developed, composed of direct factors, indirect factors, and basic factors. The results show that the selection of agricultural products, the establishment of a water audit control institution, the recycling of wastewater, and the investment in water-saving technologies are the main factors affecting the resilience of water resources management in the agricultural supply chain. These findings provide useful guidance for practitioners involved in the management of water resources in agricultural supply chains. These results are expected to contribute to the sustainable management and strategic deployment of water by agricultural supply chain stakeholders.
Highlights
With the growth of population and human activities, the shortage of water resources has become a more serious concern in recent years
This paper focuses on improving water management resilience at multiple stages of the agri-food supply chain
This study uses a quantitative approach to investigate the factors influencing the resilience of water resource management in the agricultural supply chain and proposes an integrated model
Summary
With the growth of population and human activities, the shortage of water resources has become a more serious concern in recent years. As the largest freshwater user in industry, agriculture accounts for more than 70% of global freshwater consumption among all water-consuming sectors. Water is the main resource of the agricultural food industry, and pressures to reduce consumption in line with conserving environmental and natural resources are considered to be the dominant driving force of agricultural water management in the food supply chain [3]. How to ensure the realization of agricultural water savings on the basis of food security has become a major global concern in the 21st century [4]
Full Text
Topics from this Paper
Agricultural Supply Chain
Hierarchical Structure Model
Analytical Network Process
Recycling Of Wastewater
Interpretative Structural Model
+ Show 5 more
Create a personalized feed of these topics
Get StartedTalk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
Sustainability Accounting, Management and Policy Journal
Nov 16, 2021
Agriculture
Jan 11, 2023
The International Journal of Logistics Management
Mar 14, 2023
Applied Mechanics and Materials
Nov 1, 2012
International Journal of Information Management
Jun 1, 2020
Applied Mechanics and Materials
Nov 1, 2014
Mar 1, 2011
International Journal of Production Economics
Jan 1, 2020
Frontiers in Environmental Science
Oct 28, 2022
Expert Systems with Applications
Feb 1, 2023
International Journal on Recent and Innovation Trends in Computing and Communication
Oct 7, 2023
E3S Web of Conferences
Apr 1, 2021
Concurrency and Computation: Practice and Experience
Oct 3, 2018
Sep 7, 2010
Water
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023
Water
Nov 27, 2023