The decarbonisation of the EU’s building stock requires innovative private financing solutions as a complement to public sector grants and subsidies to meet the unprecedented investment volumes and a robust and comprehensive value chain to deliver the needed improvements at pace and as efficiently as possible. Based on consumer research, market research and value chain analysis conducted in Scotland and the Province of Trento (EEMI market demonstrators), over the course of two and a half years, the Energy Efficient Mortgage Initiative has boiled the findings down into core elements which are being brought together in an EEMI ‘ecosystem’. The EEMI Ecosystem is intended to guide consumers towards financial and technical solutions that support them in their homes’ energy renovation. In essence, by combining market innovation, digitalisation and green financing instruments across the whole value chain, the Ecosystem will optimise the end-to-end customer journey and experience, deploy market interventions and partnerships that support delivery and maximise benefits for consumers. Additionally, the Ecosystem will provide significant support to financial institutions and the financial system more broadly in ‘financing green’ and ‘greening finance’ by:
This Report provides a ‘roadmap’ to energy efficient mortgage market development and to the creation of a seamless customer renovation journey by way of a three-pillar structure, comprising a consumer simulator, access to financing options and a directory of accredited suppliers. Underpinning this three-pillar structure is an extensive body of research which is also described in this Report. Over the weeks, months and years ahead the EEMI will continue to develop, populate and refine this Ecosystem, and roll it out across European jurisdictions and beyond.
Copyright © Energy Efficient Mortgages Initiative
The project DeliverEEM has received funding from the European Union’s LIFE 2023 programme under grant agreement No.101167431. The EeMAP, EeDaPP, EeMMIP projects have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No. 746205, No. 784979 and No. 894117 respectively
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