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Systems
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Sustainability, Complexity and Resilience: Insights from Complex Systems Approaches
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Sustainability, Complexity and Resilience: Insights from Complex Systems Approaches

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Complex Systems and Cybernetics".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 3348

Special Issue Editor

Dr. Giuliano Punzo

E-Mail Website
Guest Editor
Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield S10 2TN, UK
Interests: complex systems; transportation and mobility; dynamic network and graph theory; socio-technical systems; distributed control

Special Issue Information

Dear Colleagues,

The interactions between our engineering, social, urban and ecological systems is leading to their complexity to increase, with some forced adaptations happening at the interfaces of these diverse systems. As our scientific, social and technical understanding increases, the interactions become clearer. These adaptations change the nature and blur the boundary of the systems as we have known or designed them. Thus, the resilience of such systems translates as their ability to withstand the internal and exogenous pressures, some of which are possibly unknown at the design stage for human-made systems. In this scenario of balancing pressures, sustainability plays the role of ensuring such a balance is maintained, i.e., technical and policy innovations do not erode the natural and naturally emerging social systems to the advantage of those created by design. Thus, complexity, resilience and sustainability all have a stake in how our future will present itself, and it is in the understanding of this interplay that the key to ensuring such a future lies.

Dr. Giuliano Punzo
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • complex systems
  • socio-technical systems
  • emerging social systems
  • complexity
  • resilience
  • sustainability

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Published Papers (4 papers)

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Research

22 pages, 11012 KiB  
Article
Complex-Systems Analysis of the CSI 300 Index: Evolution, Resilience, and Prediction in Stock Correlation Network
by Xinyuan Luo, Jian Yin and Danqi Wei
Systems 2024, 12(8), 285; https://doi.org/10.3390/systems12080285 - 5 Aug 2024
Viewed by 410
Abstract
With the outbreak and evolution of the pandemic worldwide, the financial market has experienced unprecedented shocks and adjustments, and the volatility and correlation of the stock market, as an important indicator of economic activities, have shown new features and trends during the pandemic. [...] Read more.
With the outbreak and evolution of the pandemic worldwide, the financial market has experienced unprecedented shocks and adjustments, and the volatility and correlation of the stock market, as an important indicator of economic activities, have shown new features and trends during the pandemic. Based on the CSI 300 Index, we construct a three-stage sequential network representing the pre-pandemic, pandemic, and post-relaxation phases. We investigate the evolving dynamics and resilience of the network, forecasting potential future connections, thus offering fresh insights into comprehending market recovery. Our findings unveil that the market adapts dynamically to the pandemic’s progression, witnessing an overall augmentation in network interconnectedness. While the financial sector maintains its pivotal role, the influence of non-financial sectors experiences an upsurge. Despite the network demonstrating poor stability and heavy reliance on key nodes, there exists a positive recovery trajectory. Non-financial sectors such as energy and transportation emerge as pivotal catalysts for market rejuvenation. We provide suggestions for government regulators and investors, providing strong support for optimizing the market structure and promoting the long-term healthy development of the market. Full article
(This article belongs to the Special Issue Sustainability, Complexity and Resilience: Insights from Complex Systems Approaches)
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24 pages, 5065 KiB  
Article
The Evolution of Behavioral Strategies in the Game Theory Context of National Park Management: A Comparison of Central and Local Government Objectives
by Lingwei Zhuang, Zuomin Wen, Mingxin Lin, Sijia Wang and Xiaoxiao Hu
Systems 2024, 12(8), 270; https://doi.org/10.3390/systems12080270 - 28 Jul 2024
Viewed by 373
Abstract
To address the complexities of national park management within China, this study investigated the evolutionary game between central and local governments in the context of Sanjiangyuan National Park, to explore strategic behavior and goal displacement issues. This research dissected the interplay and strategy [...] Read more.
To address the complexities of national park management within China, this study investigated the evolutionary game between central and local governments in the context of Sanjiangyuan National Park, to explore strategic behavior and goal displacement issues. This research dissected the interplay and strategy evolution between governmental levels, considering the diverse interests, policy interpretations, and resource allocations that often lead to strategic misalignments. Employing an evolutionary game theory framework, we integrated a literature review and numerical simulations to delineate the dynamics of central–local governmental interactions. Our results underscore the pivotal role of strategic alignment in ensuring ecological conservation and socioeconomic development. The findings reveal that under certain conditions, characterized by minimization of rent-seeking behavior, cost-effective management, and risk mitigation, an evolutionarily stable strategy promoting optimal park management can emerge. This study concludes that a cooperative framework, underpinned by aligned incentives and strategic coherence between governmental levels, is critical for sustainable management of national parks. It contributes to understanding of governance models in national parks, offers insights into policy formulation and implementation within the ongoing environmental reform initiatives in China, reveals the behavioral strategies within national park management systems, and supports policy recommendations for enhancing governance quality and management efficiency. Full article
(This article belongs to the Special Issue Sustainability, Complexity and Resilience: Insights from Complex Systems Approaches)
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20 pages, 2578 KiB  
Article
The Complex Approach to Environmental and Technological Project Management to Enhance the Sustainability of Industrial Systems
by Leyla Gamidullaeva, Nadezhda Shmeleva, Tatyana Tolstykh, Tatiana Guseva and Svetlana Panova
Systems 2024, 12(7), 261; https://doi.org/10.3390/systems12070261 - 20 Jul 2024
Viewed by 580
Abstract
To achieve sustainability, industrial systems need to be modernized to improve resource efficiency while optimizing environmental and social performance. The implementation of environmental and technological projects is a complex management process and requires sufficient innovative potential and serious investments, which not every company [...] Read more.
To achieve sustainability, industrial systems need to be modernized to improve resource efficiency while optimizing environmental and social performance. The implementation of environmental and technological projects is a complex management process and requires sufficient innovative potential and serious investments, which not every company can provide. Network integration of companies, providing synergy of resources and potentials, is an effective tool for the development and implementation of innovative technologies that allow achieving optimal resource efficiency indicators. An integrated complex approach to the formation of a cross- industrial system on the principles of network integration and partnerships ensures technological interaction between companies, optimizes the methods and forms of their economic activities, allows integration participants to achieve strategic goals and ensure environmental and social effects for the territory of presence. The sustainability of such a system is expressed in its ability to withstand internal threats and external challenges. Approaches to balancing environmental and technological effects while simultaneously analysing social efficiency have not received sufficient development in scientific research. This article discusses an approach to the selection of environmental-technological projects based on criteria for assessing the sustainability and resilience of industrial systems. The authors’ approach has been tested using two industrial symbioses of advanced socio-economic development territories in the city of Novotroitsk (Orenburg region, Russian Federation). The authors presented calculated indicators of resource efficiency before and after the formation of a cross-sectoral industrial system in order to identify social and environmental effects in Novotroitsk. This approach to the assessment of environmental and technological projects allows to concentrate government support measures on the general priorities of the implementation of regional economic and industrial policies. Full article
(This article belongs to the Special Issue Sustainability, Complexity and Resilience: Insights from Complex Systems Approaches)
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23 pages, 5108 KiB  
Article
The Carbon Emission Reduction Effect and Spatio-Temporal Heterogeneity of the Science and Technology Finance Network: The Combined Perspective of Complex Network Analysis and Econometric Models
by Juan Liang, Rui Ding, Xinsong Ma, Lina Peng, Kexin Wang and Wenqian Xiao
Systems 2024, 12(4), 110; https://doi.org/10.3390/systems12040110 - 26 Mar 2024
Viewed by 1213
Abstract
With the active promotion of the “carbon peaking and carbon neutrality” goals, science and technology finance (STF) is the important driving force of low-carbon development, and financial networks facilitate the aggregation and transformation of resources in space, so it is of great theoretical [...] Read more.
With the active promotion of the “carbon peaking and carbon neutrality” goals, science and technology finance (STF) is the important driving force of low-carbon development, and financial networks facilitate the aggregation and transformation of resources in space, so it is of great theoretical and practical significance to investigate the impact of science and technology finance networks (STFN) on carbon emissions (CE). Based on the 30 provinces of China from 2011 to 2019, this article used the STF development level in each province as the main indicator to construct the STFN. The complex network analysis and econometric models are combined, with the weighted degree values and betweenness centrality selected as typical network structure indicators incorporating into the econometric model to explore their impact on CE. Then, the Geographically and Temporally Weighted Regression (GTWR) model is applied to analyse the spatio-temporal heterogeneity of influencing factors. The results show the following: (1) From 2011 to 2019, the spatial structure of China’s STFN has changed significantly, and the status of the triangle structure consisting of Beijing–Tianjin–Hebei (BTH)–Yangtze River Delta (YRD)–Pearl River Delta (PRD) is gradually consolidated in the overall network, and the network structure tends to be stable. (2) The results of the benchmark regression show that the weighted degree value of the STFN has a significant inhibitory effect on CE, while betweenness centrality shows a certain positive effect on CE. (3) The weighted degree value has a more significant effect on CE reduction in the eastern region, while the betweenness centrality has a more significant effect on CE reduction in the central and western regions, but shows a significant promotion effect in the eastern region. (4) There is spatio-temporal heterogeneity in the effects of residents’ affluence, energy consumption, industrial structure, and environmental pollution on CE. Full article
(This article belongs to the Special Issue Sustainability, Complexity and Resilience: Insights from Complex Systems Approaches)
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