| 1. |
- Wang, Wenke, et al.
(författare)
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A system dynamics model analysis for policy impacts on green agriculture development : A case of the Sichuan Tibetan Area
- 2022
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Ingår i: Journal of Cleaner Production. - : Elsevier Science Ltd. - 0959-6526 .- 1879-1786. ; 371
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Tidskriftsartikel (refereegranskat)abstract
- Tibetan area of Sichuan Province is the green shelter for national ecological security, so the local agriculture should follow the path of green development rather than the traditional way. To develop green agriculture, proper policies need to be put forward. Therefore, it is necessary to simulate and test the policies proposed and see the long-term outcomes of implementing each policy before making the final decisions. The system dynamics model is a suitable way to simulate the impact of various policies on the development of green agriculture in the Sichuan Tibetan area from a dynamic and systematic perspective. Unlike existing studies that only consider unilateral policy impact, this paper conducts policy simulations from multiple aspects of population, investment and ecological environment. The simulation results showed that population policy and investment policy had a significant effect on improving the agricultural economic benefits. The agricultural output value will increase maximum of 2.8% if the population grows by 1.2% and more rural people are engaged in agricultural activities. The grain output will increase maximumly 9.8% if the sown area of crops increases by 1.2% each year and the investment in agricultural fixed assets increases by 2%. Green policy played a significant role in improving the ecological benefits of agriculture, and the maximum relative ratio of the green index of agricultural development was 12.2%. Finally, some suggestions are put forward, including government investment, protection of the agricultural ecological environment, and promotion of the agricultural market. It is anticipated that this system dynamic model and suggestions can contribute to the green development of agriculture in the Sichuan Tibetan area and other areas.
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| 2. |
- Wang, Wenke, et al.
(författare)
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Factors Affecting Unmanned Aerial Vehicles Unsafe Behaviors and Influence Mechanism Based on Social Network Theory
- 2023
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Ingår i: Transportation Research Record. - : Sage Publications Inc. - 0361-1981 .- 2169-4052. ; 2677:5, s. 1030-1045
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Tidskriftsartikel (refereegranskat)abstract
- With the widespread application of unmanned aerial vehicles (UAVs), flight safety issues have gradually become prominent. To improve the safety level of UAV flight, a conceptual model was constructed through groups of unsafe behaviors of UAV flight based on the Swiss cheese model (reason model). The relationship network model of unsafe behaviors of UAV flight was built after using the two-mode and one-mode social network analysis, and the unsafe behaviors of UAV flight influence mechanism were studied by basic characteristics of network analysis, centrality analysis, core-periphery structure analysis, in/out-degree analysis, and structural hole analysis. The results showed that the two-mode network is closely related: unreasonable safety management structure of the organization and weak supervision of UAV flight operation were those unsafe behaviors of UAV supervision that had great influence. The unsafe behaviors of UAV supervision, such as the organizations illegal deployment of unqualified personnel for tasks and lack of ground commander for the mission plan, were in the core position of the network. The proposed model can effectively reduce the unsafe behaviors of UAV operations by eliminating critical unsafe behaviors of UAV supervision in the network and reducing UAV flight accidents.
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| 3. |
- Wang, Wenke, et al.
(författare)
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Risk management of green supply chains for agricultural products based on social network evaluation framework
- 2024
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Ingår i: Business Strategy and the Environment. - : WILEY. - 0964-4733 .- 1099-0836.
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Tidskriftsartikel (refereegranskat)abstract
- The green supply chain of agricultural products (GSCAP) is a key link for rural revitalization and sustainable development in China. However, it faces various risks from internal and external environments that threaten its performance and stability. This paper proposes a novel framework and system for identifying and evaluating the main risks in the GSCAP from the perspective of agricultural enterprises. The framework combines social network analysis (SNA) and an improved technique for order preference by similarity to an ideal solution (TOPSIS) method. SNA is used to analyze the correlations and influences among different types of risks, while the improved TOPSIS method is used to rank the risks of different GSCAPs and identify the key risks in each supply chain. The framework and system are verified by a case study of CDYBIT, a leading platform of food safety big data service in China. The results show that the supermarket supply chain has the highest risk, followed by the group catering supply chain, and the five-star hotel supply chain has the lowest risk. The main risk factors for each supply chain are also discussed, and some suggestions for risk management are provided. This paper contributes to the literature by providing a comprehensive and systematic risk assessment framework and system for the GSCAP, which can help agricultural enterprises improve their risk awareness and response capabilities.
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| 4. |
- Wang, Wenke, et al.
(författare)
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The sustainability of ecotourism stakeholders in ecologically fragile areas: Implications for cleaner production
- 2021
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Ingår i: Journal of Cleaner Production. - : ELSEVIER SCI LTD. - 0959-6526 .- 1879-1786. ; 279
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Tidskriftsartikel (refereegranskat)abstract
- The research on ecotourism has attracted much attention in recent years with the increasing awareness of sustainable development and environmental protection. In the development and construction of ecotourism in ecologically fragile areas, however, conflicts of interest between stakeholders often negatively affect the efficiency and effectiveness of ecotourism construction. This paper applied evolutionary game theory to analyse the evolutionary stable strategies of local governments, tourism enterprises and residents in the development and construction of ecotourism in ecologically fragile areas, to explore the mechanism that influences the sustainable development policies. The evolutionary stable strategies of the game were calculated and the dynamic simulation of the model was also discussed by using a system dynamics method to analyse the stability of interaction among the stakeholders and determine an equilibrium solution. The simulation results showed that the strategic choices of the three stakeholders fluctuate repeatedly, which indicated that there was no evolutionary stability strategy in the interaction among the current stakeholders. Therefore, an optimized dynamic penalty-incentive control method was proposed to control the fluctuation, after which the simulation results showed that the optimized dynamic penalty-incentive control method can not only effectively suppress the fluctuation but also obtain an ideal evolutionary stable strategy. Then, the cooperation mode can be changed from any original status into the desired target. This research provides valuable information for the design of appropriate policies and business models to coordinate the interests of stakeholders and promote the development of ecotourism, as well as contributes to the environmental and sustainability research and practice. (c) 2020 Elsevier Ltd. All rights reserved.
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