About this Research Topic
The goal of this Research Topic is to re-examine important issues in environmental economics and management by employing cutting edge research methods which are based on big data, deep learning, and other machine learning techniques as well as other advanced analytical methods. Given that many important issues in environmental economics and management are exceptionally complex in nature, and the underlying relationships with the determinants are nonlinear, the application of these frontier research methods may prove particularly valuable because of their capability in modeling various complex and nonlinear relationships. Research studies based on any significant issues in environmental economics and management are welcome, given that the analyses are based on these state-of-the-art analytical techniques.
Studies related to any important issues in environmental economics and management are welcome. Authors are expected to address these significant issues from an empirical and quantitative point of view by revisiting these issues with the application of big data, deep learning, and other machine learning techniques as well as other frontier techniques. It is desirable to compare the findings derived from existing research studies which are based on traditional analytical methods with the proposed frontier research methods. Authors are encouraged to delve into burning issues or heated debates so as to provide insights for policy formulation in environmental economics and management. Some suggested themes are:
• Environmental protection and economic growth
• Inclusive growth with environmental protection
• Inequality and environmental degradation
• Investment and environmental degradation
• Poverty eradication with environmental protection
• Supply chain relocation and environmental impacts
• Sustainable economic growth with environmental protection
• Energy markets and environment
• Energy transition and environment
• Any related environmental, energy economics, and policy issues
Keywords: environmental economics, environmental management, big data, deep learning, machine learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.