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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 474))

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Abstract

Standard population projections show that virtually all global growth will be in urban areas over the next thirty years. At the same time, the last decades of constant economic and population growth, the modern lifestyle of developed countries and the creation of new needs have led to an increase in energy use per capita and at an overall level resulting in environmental pollution and strengthening of the greenhouse effect. It is essential, therefore, not only at a county level but also at a city level to boost investments in green energy projects. However, important barriers hinder local authorities from investing in this kind of projects. Among others, these barriers include the lack of internal capacity to identify and implement innovative financing schemes, high cost of financing or lack of private financing. This paper presents a software tool for assessing cities’ readiness to receive the necessary financial assistance in order to implement green energy projects. The cities’ performance is evaluated along three axes (i) Investment Attractiveness, (ii) Utilisation of Financial Resources and (iii) Project Implementation, while the methodology is based on multicriteria analysis. A pilot application in ten European cities has been conducted, and fruitful outcomes have been derived from the comparative analysis.

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Correspondence to Aikaterini Papapostolou .

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Papapostolou, A., Karakosta, C., Mexis, F.D., Psarras, J. (2023). Attracting Financing for Green Energy Projects: A City Readiness Index. In: Liu, S., Zaraté, P., Kamissoko, D., Linden, I., Papathanasiou, J. (eds) Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins . ICDSST 2023. Lecture Notes in Business Information Processing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-031-32534-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-32534-2_12

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