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Decision–Making Methods and Applications for Sustainable Development of Characteristic Agriculture

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Agriculture".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 6902

Special Issue Editors


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Guest Editor
School of Business and Tourism Management, Yunnan University, Kunming 650500, China
Interests: management decision making and its application
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Management College, Ocean University of China, Qingdao 266100, China
Interests: ecological management; fishery economics and management; sustainable development of fisheries; marine enterprise management

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Guest Editor
Department of Computer Science, University of Jaen, 23071 Jaen, Spain
Interests: decision theory and methods; consensus-reaching processes; decision support systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As we enter the Decade of Action to achieve the Sustainable Development Goals (SDGs) by 2030, many of the world’s food systems are fragile and failing to fulfill the right to adequate food for all. It is therefore necessary to develop an agricultural form to align with the requirements of the times. Characteristic agriculture in its various forms was proposed to satisfy the diversified consumer demand and highly subdivided market by considering local conditions.

Characteristic agriculture refers to agriculture with unique varieties, special qualities, and local characteristics, and it is developed for a specific region according to that region’s unique conditions of geography, climate, and resources. Characteristic agriculture is regarded as an advantageous, efficient, and productive brand of agriculture based on utilizing the comparative advantage of regional resources. Developing characteristic agriculture is an effective way to promote agricultural modernization, optimize the rural industrial structure, transfer agricultural surplus labor force and transform the mode of agricultural development. Characteristic agriculture includes characteristic farming, forestry, animal husbandry, fishery, and even sideline production.

As we know, food systems contribute up to one-third of greenhouse gas emissions, up to 80% of biodiversity loss, and use up to 70% of fresh water. As is the aim of transforming our food systems, characteristic agriculture should address our responsibility to conserve natural resources. Therefore, sustainability should be the priority in developing characteristic agriculture. When characteristic agriculture is faced with the dual dilemma of efficient outputs and ecological constraints, making a sustainable development decision becomes an increasingly critical issue.

This Special Issue focuses primarily on the decision-making methods and applications for the sustainable development of characteristic agriculture. We believe that the decision-making methods and applications can scientifically promote and support the sustainable development of characteristic agriculture. For this Special Issue, we are seeking papers on sustainable characteristic agriculture involving influence factors, sustainable solution alternatives, evaluation index systems, evaluation methods, risk identification, optimal allocation of resources, ecological safety, sustainable practice experience, management innovation, and so on. We look forward to receiving your contributions.

Prof. Dr. Yuan-Wei Du
Dr. Man Qin
Dr. Alvaro Labella
Guest Editors

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Keywords

  • characteristic agriculture
  • sustainable development
  • sustainable agriculture
  • decision-making method
  • evaluation index
  • evaluation method
  • ecological safety
  • risk management
  • comprehensive benefit
  • marine fishery
  • marine ranching
  • plateau agriculture
  • food security

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Published Papers (4 papers)

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Research

20 pages, 746 KiB  
Article
Study of the Spatial Spillover Effects of the Efficiency of Agricultural Product Circulation in Provinces along the Belt and Road under the Green Total Factor Productivity Framework
by Minghua Dai, Guanwei Wang, Jiaqiu Wang, Yuhan Gao and Quanzhen Lu
Sustainability 2023, 15(16), 12560; https://doi.org/10.3390/su151612560 - 18 Aug 2023
Cited by 2 | Viewed by 1306
Abstract
In the context of China’s socialist market economy, production and circulation are equally important. Production creates value, while circulation realises value, and both are essential components of socialised reproduction. This paper, based on panel data from 30 provinces and cities in China covering [...] Read more.
In the context of China’s socialist market economy, production and circulation are equally important. Production creates value, while circulation realises value, and both are essential components of socialised reproduction. This paper, based on panel data from 30 provinces and cities in China covering the period from 2010 to 2021, uses methods such as the slacks-based model (SBM), global Malmquist–Luenberger (GML) index, generalised method of moments with system estimation (system GMM) and spatial Durbin model to investigate the developing mechanism and influencing factors of agricultural product circulation efficiency in provinces along the Belt and Road Initiative (BRI) within the framework of green total factor productivity. This study found the following: First, the overall trend of green total factor productivity of agricultural product circulation in provinces along the BRI shows negative growth, especially after the launch of the BRI initiative in 2014. Second, the level of foreign investment has a positive impact on the green total factor productivity of agricultural product circulation in provinces along the BRI. On the other hand, environmental regulations, government support and industrial structure have negative impacts. Third, based on the spatial weight matrix of geographical adjacency, there is a positive spatial spillover effect on the green total factor productivity of agricultural product circulation. Full article
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23 pages, 8182 KiB  
Article
Spatiotemporal Dynamics of Agricultural Sustainability Assessment: A Study across 30 Chinese Provinces
by Yuan-Wei Du and Yi-Pin Fan
Sustainability 2023, 15(11), 9066; https://doi.org/10.3390/su15119066 - 3 Jun 2023
Viewed by 1445
Abstract
Agricultural sustainability is crucial for ensuring food security, promoting economic development, maintaining ecological balance, and achieving sustainable development goals. In this study, based on relevant theories of agricultural sustainability, an analytical framework is constructed for agricultural sustainability encompassing economic, resource, environmental, and social [...] Read more.
Agricultural sustainability is crucial for ensuring food security, promoting economic development, maintaining ecological balance, and achieving sustainable development goals. In this study, based on relevant theories of agricultural sustainability, an analytical framework is constructed for agricultural sustainability encompassing economic, resource, environmental, and social dimensions. The Analytic Network Process (ANP) method is employed to determine indicator weights and assess the spatiotemporal changes in agricultural sustainability levels across Chinese provinces. The findings reveal that environmental quality is the primary dimension for assessing agricultural sustainability, and the significance of the rural social development dimension is continuously increasing. Although the sustainability levels have significantly improved in various regions of China, there remain issues of development imbalance and instability. In conclusion, this paper offers a comprehensive understanding of the spatiotemporal changes in agricultural sustainability across Chinese provinces, providing valuable insights for policymakers and researchers. Full article
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11 pages, 741 KiB  
Article
Research on Agricultural Total Production Factors in the Bohai Bay Area Based on Agricultural Data from 2011 to 2020
by Ping Wang, Weijun Tian and Huimin Cao
Sustainability 2023, 15(8), 6650; https://doi.org/10.3390/su15086650 - 14 Apr 2023
Viewed by 1301
Abstract
This paper studied the total factor productivity (TFP) of agriculture in the Bohai Rim region. The agricultural TFP showed the dependence of agricultural development on chemical fertilizers, pesticides, labor, science, technology, etc. By coordinating the inputs of various production factors, production efficiency can [...] Read more.
This paper studied the total factor productivity (TFP) of agriculture in the Bohai Rim region. The agricultural TFP showed the dependence of agricultural development on chemical fertilizers, pesticides, labor, science, technology, etc. By coordinating the inputs of various production factors, production efficiency can be improved, reducing the over-reliance on chemical fertilizers and pesticides and achieving the development and sustainability of agriculture. In this study, the sectional data of three provinces (Shandong, Hebei, and Liaoning) and two cities (Beijing and Tianjin) in the Bohai Rim region of China from 2011 to 2020 were collected, and the envelope analysis was performed on the collected data using the Malmquist index model. The results showed that the TFP of agriculture in the Bohai Rim region was greater than one, and agriculture was generally well-developed. Regionally, the agricultural productivity in Shandong Province was generally lower than in other provinces and cities. In addition, the scale efficiency was the most important factor restricting agricultural TFP in the Bohai Rim region, indicating that there was still room to improve investment in the agricultural production scale. Based on the analysis results, suggestions were made for sustainable and high-quality development of agriculture. Full article
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20 pages, 1495 KiB  
Article
Research on Profit Allocation of Agricultural Products Co-Delivery Based on Modified Interval Shapley Value
by Chenglin Wang, Zhicheng Zhou, Xiaohui Yu, Jintao Chen, Pengnan Li and Ziqi Wang
Sustainability 2023, 15(4), 3303; https://doi.org/10.3390/su15043303 - 10 Feb 2023
Cited by 1 | Viewed by 1942
Abstract
Most of the domestic wholesale markets have many operating entities, and the level of organization and scale is not high; therefore, at this stage, building a shared business platform and carrying out common distribution is an important way to improve the overall efficiency [...] Read more.
Most of the domestic wholesale markets have many operating entities, and the level of organization and scale is not high; therefore, at this stage, building a shared business platform and carrying out common distribution is an important way to improve the overall efficiency of the wholesale market distribution operations and the level of the intensive utilization of key resources such as vehicles. Carrying out common distribution requires the formation of a good synergy mechanism among the participating subjects, in which the design of a scientific and reasonable benefit distribution scheme, especially in balancing the relationship between government resources and social resources, is particularly important. As the benefit distribution of cooperation is affected by the dynamic changes of the resource input ratio, the distribution operation scale, the risk taking, and other factors, this paper establishes a multi-weight interval Shapley value method benefit distribution model, which reflects the effect of the key parameter variables. Through the empirical analysis of Beijing’s wholesale markets for agricultural products, the results show that the revised benefit distribution is more in line with the interest demands among multiple subjects and is positively correlated with the contribution degree among the participating subjects, which can better mobilize the cooperation enthusiasm of the participating enterprises and provide a new methodological path to solve the problem of common distribution in wholesale markets. The distribution model constructed in this paper further enriches the relevant research content in the field of common distribution and is of reference value for the benefit distribution problem that requires comprehensive consideration of the dynamic change in the multiple parameters affecting the relationship. Full article
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