@misc{10481/97531,
year = {2024},
url = {https://hdl.handle.net/10481/97531},
abstract = {Although the maritime industry has introduced technological improvements, shipping
activity is still a major contributor to greenhouse gas emissions. Using more intelligent
incentive policies, such as subsidies, seems a way to increase green technology adoption.
Our proposal is to engineer micro-level incentives to target a reduced set of adopters to
optimize subsidies while encouraging adoption by shipowners. We focus on wind-assisted
propulsion technology in shipping and test the effectiveness of targeting using agent-based
simulations. The agent-based model employs a three-phase process, influenced by awareness
of technology, economic factors, and networking. Experiments under different scenarios
robustly analyze targeting policies and their impact on adoption rates. Our findings reveal
that targeted incentives significantly improve adoption compared to a uniform distribution.
The most effective targeting policies are those that select receptors based on their social
activity and energy consumption, although the available budget affects the selection of
criteria},
title = {Targeting incentives to adopt wind-assisted technologies in shipping by agent-based simulations},
doi = {https://doi.org/10.1016/j.trd.2024.104511},
author = {Romero Contreras, Elena and Chica Serrano, Manuel and Rivas Hermann, Roberto and Damas Arroyo, Sergio},
}