Discrete Dynamics in Nature and Society

Modeling the Complexity and Dynamics of Socioeconomic Systems


Publishing date
01 Apr 2022
Status
Published
Submission deadline
26 Nov 2021

Lead Editor

1Beijing Jiaotong University China, Beijing, China

2University of Maribor, Maribor, Slovenia

3Lakehead University, Thunder Bay, Canada


Modeling the Complexity and Dynamics of Socioeconomic Systems

Description

Socio-economic systems are large systems with people at the core, including social, economic, educational, scientific, technological, and ecological environment fields, involving various aspects of human activities and the many complex factors of the living environment. The fundamental difference between socio-economic systems and physical systems is that there is a decision-making link in socio-economic systems, and the subjective consciousness of humans has a great influence on the system. Socio-economic systems are an important and typical complex system (also referred to as complex adaptive systems, CAS). In contrast to other systems (i.e., inanimate systems, biological and ecological systems), socio-economic systems have a number of special circumstances and properties that make them more difficult to recognize, describe, and control. Due to their complexity and dynamic nature, there is no "one-size-fits-all" solution to socio-economic system problems. In particular, many of these systems involve dynamic changes in people and society, and the problems themselves are constantly changing and evolving, inevitably requiring a deepening process of understanding, which also leads to the absence of precise and complete overall analytical models for such systems. Therefore, the exploration of the theories, methods, and techniques for effective modeling of the complexity and dynamics of socioeconomic systems represents a very promising area of research.

The complexity of socio-economic systems is a hot topic in current academic research. However, a unified definition has not yet been developed due to the lack of a rigorous formal theory. For a long period of time, research on the complexity and dynamics of socioeconomic systems has focused on the investigation of the characteristics of the distribution of various types of universal scales and their causes. We believe that the study of the complexity and dynamics of socio-economic systems needs to start from the process of development of processing techniques of system theory and face the complex phenomena of socio-economic systems directly. In addition, there is no optimal solution to the socio-economic system problem in the general sense, let alone a unique optimal solution.

The main purpose of this Special Issue is to provide an opportunity for academics and practitioners to explore modeling methods and techniques for examining the complexity and dynamics of socio-economic systems under current technological conditions and find effective solutions with dynamic adaptability. Topics related to logistics systems, finance systems, and production systems would be highly appreciated. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Control and optimization modeling
  • Adaptation synergy and feedback regulation
  • Simulation of the evolution process
  • Multi-agent methods
  • Complex adaptive systems, multi-body systems, and evolutionary computing
  • Modeling self-organization behaviors
  • Cooperation and gaming problems
  • Pattern recognition, data mining techniques, and visualization technologies

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 9685804
  • - Research Article

Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment

Feng Zhao | Yi Sun | ... | Pingping Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 3364968
  • - Research Article

Evaluation of Manufacturing Competitiveness of Hubei Province Based on Stochastic Frontier Analysis

Weidong Gai | Lei Zhou | Chun Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 5438266
  • - Research Article

A σ-Convergence Model for Analyzing the Balance of Insurance Industry in China

Zeyun Yang | Wendong Xiao | Qiaoling Fu
  • Special Issue
  • - Volume 2021
  • - Article ID 2026086
  • - Research Article

Unlocking the Sustainable Development Path of China’s Nonferrous Metal Industry Based on Collaborative Innovation

Jing Zhang | Yuanyuan Lu | Xiangmin Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 4692383
  • - Research Article

Corporate Social Responsibility Disclosure, Debt Financing Costs, and Innovation Capacity

Yang Miao | Xiaoxue Zhou | Xin Dai
  • Special Issue
  • - Volume 2021
  • - Article ID 4221253
  • - Research Article

The Energy Efficiency and the Main Influencing Factors for the Logistics Industry in the Yangtze River Economic Belt in China

Xun Li | Chuan Lin
  • Special Issue
  • - Volume 2021
  • - Article ID 4706719
  • - Research Article

Evolutionary Game Analysis of Promoting Industrial Internet Platforms to Empower Manufacturing SMEs through Value Cocreation Cooperation

Dongdong Li | Chunfa Li | Runde Gu
  • Special Issue
  • - Volume 2021
  • - Article ID 1435334
  • - Research Article

Short-Term Electric Load Prediction and Early Warning in Industrial Parks Based on Neural Network

Guannan Wang | Pei Yang | Jiayi Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 7337290
  • - Research Article

Evolutionary Game Research between the Government Environmental Regulation Intensities and the Pollution Emissions of Papermaking Enterprises

Sen Zhang | Guangyuan Qin | ... | Yuan Tian
  • Special Issue
  • - Volume 2021
  • - Article ID 5244937
  • - Research Article

Modelling Investment Choice Preference of Government Venture Capital Guiding Funds

Sijing Yang | Jing Cui
Discrete Dynamics in Nature and Society
 Journal metrics
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Acceptance rate13%
Submission to final decision127 days
Acceptance to publication23 days
CiteScore2.000
Journal Citation Indicator0.410
Impact Factor1.4
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