An Introduction to Complex Networks in Climate Finance

TL;DR

This paper introduces the application of complex network analysis to understand investor behaviors and dynamics in low-carbon energy finance markets, highlighting the potential for network science to explain and influence funding patterns.

Contribution

It provides an overview of how complex network approaches can be applied to analyze investor interactions in low-carbon finance markets, an emerging area with limited prior research.

Findings

Investor networks in low-carbon finance are complex and not fully understood.

Network analysis can reveal non-linear behaviors in funding dynamics.

Applying network science offers potential to control and optimize climate finance flows.

Abstract

In this perspective, we introduce recent research into the structure and function of complex investor networks supporting sustainability efforts. Using the case of solar, wind and hydro energy technologies, this perspective explores the complexity in low-carbon finance markets, defined as markets that direct capital flows towards low-carbon technologies, using network approaches to study their structure and dynamics. Investors are modeled as nodes which form a network or higher-order network connected by edges representing projects in which joint funding or security-related insurance was provided or other investment-related interaction occurred. We review the literature on investor networks generally, particularly in the case of complex networks, and address areas where these ideas were applied in this emerging field. The complex investor dynamics which emerge from the extant funding scenarios are not well understood. These dynamics have the potential to result in interesting non-linear behaviour, growth, and decline, which can be studied, explained and controlled using the tools of network science.