Dynamic Modeling and Quantitative Analysis in Complex Energy and Resource Market Systems
1National Institute for Economic Research, Bucharest, Romania
2Harbin Engineering University, Harbin, China
3Harbin Engineering University, Harbin, China
Dynamic Modeling and Quantitative Analysis in Complex Energy and Resource Market Systems
Description
In modern economies, energy and resource market systems have been rapidly and irreversibly developed. Adoption of emerging technologies and methods that can lead to the next market revolution, including energy and resource production systems, may redesign the functionality of their inner paradigm. The complexity of energy and resource markets requires dynamic approaches for their investigation, based on existing relations, determinants, and involvements. To embrace this complexity in such a system requires in-depth approaches to understanding new developments, restrictions and limitations, theories, and models which can lead to economic growth, productivity, innovation, and employment.
The traditional energy and resource market’s model is facing new and unpredicted challenges. The widespread global energy and resource crisis, price volatility, limited production capacity and competitive resources, new trade energy reroutes, environmental pollution, and new technological developments imposes dynamic and quantitative assessment methods. The major issue and limitation of using any dynamic model and quantitative analysis is the identification of the proper model parameters and area of investigation. Despite this, there is a large variety of models used in dynamic modeling and quantitative analysis, but less of them are addressed to the energy and resource markets.
The aim of this Special Issue is to collate trans and interdisciplinary research on dynamic modeling and quantitative analysis in complex energy and resource market systems, to help develop new and functional approaches in this field. It will be focused on the integrated concepts, theories, and framework of discrete dynamic simulation methods for complex multiparameter systems consisting of specific and determinant variables structured in large-scale complex energy and resource market systems. The proposed topic is based on dynamic modeling and quantitative diagnosis for dual and inter correlated markets and it is described in terms of discrete models for complex systems. Both theoretical and practical contributions are welcome, and quantitative and qualitative analysis that focus on the topics related to the economic effects of dynamic modeling and complex energy and resource market systems are deeply encouraged. Of interest is the application of dynamic modeling and quantitative analysis, discrete models, and quantitative diagnosis due to the direct implication in designing the new energy and resource market model. Original research and review articles are welcomed.
Potential topics include but are not limited to the following:
- Anomalies in energy and resource market systems
- Discrete models and quantitative diagnosis in contemporary markets
- Energy and resource market efficiency
- Energy market resilience and the traditional sources of energy
- Experimental and modeling study on resource market
- Future energy markets and determinants
- Performance modeling and risk assessment of market system
- Uncertainty and risk assessment in energy and resource market
- Energy shock and stock market volatility
- Resource constrains and limits in production
- Innovation and technology in promoting functional energy markets
- Market deregulation of energy and resources.