<p>The<b> </b>Green Investment Barrier Model (GIBM) is a system dynamics model designed to evaluate the macroeconomic (e.g.
GDP) and socio-economic (e.g. unemployment) implications of different policy
scenarios to close the green finance gap in the context of a green energy
transition in the UK. A key feature of GIBM lies in its representation of a
green finance gap that constraints a low-carbon energy transition (unless it is
closed through a policy).<br></p><p><br></p>
<p>The model has been applied in two
publications:</p><p><br></p><p><b>Hafner,
S., Jones, A. & Anger-Kraavi, A. (forthcoming). Economic impacts of
achieving a zero emissions target in the UK power sector. Journal of Cleaner
Production.</b></p><p><i>In this publication, GIBM explores
the long-term macroeconomic effects, and changes in the power system costs of
different low-carbon electricity transition scenarios. The main purpose of this
paper is to provide a holistic and reliable decision-support tool for policy
decisions with respect to the speed of decarbonisation of the electricity
supply sector.</i></p><p><b><br></b></p><p><b>Hafner, S., Jones, A., Anger-Kraavi, A. &
Monasterolo, I. (under review). Closing the green finance gap within a green
electricity transition: policy recommendations and economic consequences.
Environmental Innovation and Societal Transitions.</b></p><p><i>In the second publication, GIBM is applied to demonstrate
how policies contribute to scale up the green investment necessary to finance
the low-carbon electricity infrastructure and to show what the related
macroeconomic (e.g. GDP) and socioeconomic (e.g. unemployment) implications.</i><br></p>
<h5>Available attachments</h5>
<p>The developed model (GIBM) is freely downable from this URL
(item entitled ‘Green Investment Barrier Model). In addition the time series
data applied in this model is downloadable with the VDF-document ‘Timeseries
2016’. A full model documentation (and description) is available in the first
publication, including as well as a more detailed description of the used data.
</p><p><br></p>
<p>Moreover, all the tested policy scenarios as well as
sensitivity analysis presented in the publications indicated above are
available. Thereby, all vdfx documents starting with a ‘1’ (‘2’) refer to
policies/scenarios presented in the first (second) publication. </p>
<h5>Software</h5>
<p>GIBM was built in <i>Vensim 7</i>
(https://vensim.com/vensim-7-release/) which should be used to run this model
to reproduce the same output as presented in the two articles indicated above.
Vensim 7 can be installed by using the following link (a free version is
available): https://vensim.com/free-download/. </p>
Funding
The financial support of the Economic and Social Research Council for the ‘Centre for the Understanding of Sustainable Prosperity’ (CUSP) (ESRC grant no: ES/M010163/1) is gratefully acknowledged.