The distribution of the EU-funded municipal projects aimed at contributing to the sustainable development goals across the provinces in Türkiye: a spatial clustering analysis

Date

2023-4-26

Author

Parlak, Gülşen Ayşen

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

305
views

213
downloads

Cite This

In the 2030 Agenda for Sustainable Development framework, developed countries assist developing or less developed countries in achieving global goals. The European Union (EU) is one of the most important donors to Türkiye, a developing country in Europe. In order to ensure interregional justice in a way that leaves no one behind, understanding the tendency structure of internationally funded investments of local authorities and their spatial footprints is extremely important. Nonetheless, analyzing the spatial tendencies/choices of these investments is difficult due to a deficiency in customized and integrated geographic data for the Sustainable Development Goals (SDGs). This study aims to fill the gap in the literature by analyzing the budgetary spatial clustering of EU-funded municipal projects in Türkiye in terms of their contribution to the SDGs. In this study, two analysis methods were performed in Geographic Information Systems (GIS) software: Moran's I and Getis-Ord Gi*. Results show that the spatial clustering of the budgetary hot spots of the metropolitan and provincial municipal projects financed by EU grants, in the period 2008-2022, was located in the southern and southeastern parts of Türkiye. Moreover, this is in line with the spatial pattern of projects between 2015-2022, whereas no clustering could be identified in the distribution between 2008-2014. In terms of SDGs, the spatial pattern of SDG6 (clean water and sanitation) and SDG11 (sustainable cities and communities) is similar to the distribution of budget allocations.

Subject Keywords

Sustainable development goals (SDGs), EU financial assistance to Türkiye, Local authorities/municipalities, Geographic information systems (GIS), Spatial clustering

URI

https://hdl.handle.net/11511/103241

Collections

Graduate School of Natural and Applied Sciences, Thesis