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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hammer, S., Kamal-Chaoui, L., Robert, A., Plouin, M.: Cities and Green Growth: A Conceptual Framework (2011)
Merk, O., Saussier, S., Staropoli, C., Slack, E., Kim, J.-H.: Financing Green Urban Infrastructure (2012). https://www.oecd.org/cfe/regionaldevelopment/WP_Financing_Green_Urban_Infrastructure.pdf
Marinakis, V., Karakosta, C., Papadopoulou, A.G., Psarras, J.: Sustainable energy action plan for the covenant signatories: the choice of emission factors. In: Reyes, D. (ed.) Sustainable Development: Processes, Challenges and Prospects, pp. 129–142. Nova Science Publishers, Inc (2015)
Karakosta, C., Doukas, H., Psarras, J.: Technology transfer through climate change: setting a sustainable energy pattern. Renew. Sustain. Energy Rev. 14, 1546–1557 (2010). https://doi.org/10.1016/j.rser.2010.02.001
Karakosta, C.: A holistic approach for addressing the issue of effective technology transfer in the frame of climate change. Energies (Basel) 9, 503 (2016). https://doi.org/10.3390/en9070503
Yen, Z.: Long Finance: Financing the Transition: Sustainable Infrastructure in Cities (2015)
Papapostolou, A., Mexis, F.D., Karakosta, C., Psarras, J.: A multicriteria tool to support decision-making in the early stages of energy efficiency investments. In: Cabral Seixas Costa, A.P., Papathanasiou, J., Jayawickrama, U., Kamissoko, D. (eds.) Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs. ICDSST 2022. Lecture Notes in Business Information Processing, vol. 447, 190–202. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-06530-9_15
Spyridaki, N.-A., Kleanthis, N., Tzani, D., Matosović, M.D., Flamos, A.: A City capability assessment framework focusing on planning, financing, and implementing sustainable energy projects. Sustainability 12, 8447 (2020). https://doi.org/10.3390/su12208447
Gibberd, J.: Strengthening sustainability planning: the city capability framework. Procedia Eng. 198, 200–211 (2017). https://doi.org/10.1016/j.proeng.2017.07.084
United Nations Development Programme: UNDP capacity assessment methodology (2008). https://www.undp.org/publications/undp-capacity-assessment-methodology
Mosannenzadeh, F., di Nucci, M.R., Vettorato, D.: Identifying and prioritizing barriers to implementation of smart energy city projects in Europe: an empirical approach. Energy Policy 105, 191–201 (2017). https://doi.org/10.1016/J.ENPOL.2017.02.007
G20 Energy Efficiency Finance Task Group (EEFTG): G20 Energy Efficiency Investment Toolkit, Paris, France (2017)
The Economist Intelligence Unit: Benchmarking the Future Competitiveness of Cities, London, UK (2013)
International Renewable Energy Agency (IRENA): Financial Mechanisms and Investment Frameworks for Renewables in Developing Countries, Abu Dhabi, UAE (2012)
Commission, E.: Smart Cities Stakeholder Platform: Financing Models for Smart Cities. Belgium, Brussels (2013)
UN-Habitat: Financing Sustainable Urban Development: Challenges and Opportunities, Nairobi, Kenya (2013)
European Federation of Agencies and Regions for Energy and the Enviroment (FEDARENE): Innovative Financing Schemes in Local and Regional Energy Efficiency Policies, Brussels, Belgium (2015)
Institute, W.: EUROCITIES: Benchmark of Renewable Energy Sources and Distributed Energy Generation. Belgium, Brussels (2013)
CityInvest: A Guide for the Launch of a One Stop Shop on Energy Retrofitting: RenoWatt’s Experience in Liège, Brussels, Belgium (2017)
Guillermo, A., de Cunto, A., Kontinakis, N., Saraceno, P.P.: Peer Powered Cities and Regions: Report on Needs Assessment. Belgium, Brussels (2017)
Commission, E.: Guidance Document on Indicators of Public Administration Capacity Building. Belgium, Brussels (2014)
Karakosta, C., Fujiwara, N.: Scaling up and intensifying stakeholders engagement for evidence-based policymaking: lessons learned. In: Hashmi, S., Choudhury, I.A. (eds.) Encyclopedia of Renewable and Sustainable Materials, pp. 773–782 (2020)
Höfer, T., Madlener, R.: A participatory stakeholder process for evaluating sustainable energy transition scenarios. Energy Policy 139, 111277 (2020). https://doi.org/10.1016/j.enpol.2020.111277
Lehtinen, J., Aaltonen, K.: Organizing external stakeholder engagement in inter-organizational projects: opening the black box. Int. J. Project Manage. 38, 85–98 (2020). https://doi.org/10.1016/j.ijproman.2019.12.001
Doukas, H., Tsiousi, A., Marinakis, V., Psarras, J.: Linguistic multi-criteria decision making for energy and environmental corporate policy. Inf. Sci. (NY). 258, 328–338 (2014). https://doi.org/10.1016/j.ins.2013.08.027
Martinez, L., Herrera, F.: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8, 746–752 (2000). https://doi.org/10.1109/91.890332
Neder, E.A., et al.: Urban adaptation index: assessing cities readiness to deal with climate change. Clim. Change 166, 1–20 (2021). https://doi.org/10.1007/S10584-021-03113-0/FIGURES/3
Torres, R.R., Lapola, D.M., Marengo, J.A., Lombardo, M.A.: Socio-climatic hotspots in Brazil. Clim. Change. 115, 597–609 (2012). https://doi.org/10.1007/S10584-012-0461-1/TABLES/3
Zayed, M.A.: Towards an index of city readiness for cycling. Int. J. Transp. Sci. Technol. 5, 210–225 (2016). https://doi.org/10.1016/J.IJTST.2017.01.002
Ernst and Young: The EY MENA Climate Change Readiness Index (2023)
The Deloitte City Mobility Index | Deloitte Insights Middle East. https://www2.deloitte.com/xe/en/insights/focus/future-of-mobility/deloitte-urban-mobility-index-for-cities.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-32534-2_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-32533-5
Online ISBN: 978-3-031-32534-2
eBook Packages: Computer ScienceComputer Science (R0)