TY - JOUR
TI - Development of a computable general equilibrium model based on integrated macroeconomic framework for ocean multi-use between offshore wind farms and fishing activities in Scotland
AU - Qu, Y
AU - Hooper, T
AU - Austen, M
AU - Papathansopoulou, E
AU - Huang, J
AU - Yan, X
T2 - Applied Energy
AB - The rapid development of offshore wind farms (OWFs) has raised concerns about the increasing conflicts and synergies with existing marine activities, especially the traditional fishery industry, from socioeconomic and environmental perspectives. Quantifying the conflicts and synergies require frameworks that can consider environment and economic systems simultaneously. This study builds on and extends a well-established computable general equilibrium (CGE) model to incorporate a natural capital and ecosystem service into the modelling framework, enabling a comprehensive analysis of the two-way interactions between the economy and natural environment. Our results suggest that expansion of OWFs has significant negative impacts on the seafood sectors, whereas fish stocks benefit slightly as fewer fish are harvested. Moreover, the increase in fish stocks due to the closed areas and artificial reef effect could bring benefits to the fishing sector, and pass onto the wider economy. The combined impacts of expansion of OWFs and increased fish stock demonstrate the potential benefits of multi-use of marine spaces by the OWFs and fishing activities. This modelling approach provides an illustration of the potential and importance of incorporating natural capital into CGE models in practice, which could be used for policy making regarding marine renewable energy and sustainable development planning in the marine environment.
DA - 2023/02//
PY - 2023
VL - 332
SP - 120529
UR - https://www.sciencedirect.com/science/article/pii/S030626192201786X
DO - 10.1016/j.apenergy.2022.120529
LA - English
KW - Wind Energy
KW - Fixed Offshore Wind
KW - Floating Offshore Wind
KW - Human Dimensions
KW - Fisheries
KW - Social & Economic Data
ER -