| Title |
An Empirical Analysis of Driving Factors and Policy Enablers of Heritage Adaptive Reuse within the Circular Economy Framework |
| ID_Doc |
3345 |
| Authors |
Kaya, DI; Pintossi, N; Dane, G |
| Title |
An Empirical Analysis of Driving Factors and Policy Enablers of Heritage Adaptive Reuse within the Circular Economy Framework |
| Year |
2021 |
| Published |
Sustainability, 13, 5 |
| DOI |
10.3390/su13052479 |
| Abstract |
The adaptive reuse of cultural heritage has been recognized as a driver of the circular economy. It stimulates economic growth, boosts its inherent values, and reduces material usage and energy consumption. It can be regarded unviable due to financial constraints, limitations in regulatory frameworks and lack of engagement in decision-making. To tackle these challenges, this study aims to examine the drivers and related policy instruments that support adaptive reuse practices, and to analyze the usefulness and feasibility of a set of multi-level policy enablers at varying local contexts. In this context, we first conducted a semi-systematic review of academic and gray literature and identified 19 driving factors and associated policy documents. These instruments were concentrated on administrative, regulatory and financial tools. This analysis led to the identification of policy enablers that can be adopted at three levels: European, national and local. An online survey was then conducted to investigate how a variety of local stakeholders in the selected case cities and region evaluate the adaptability of these enablers in their individual cases. The findings show that all the assessed enablers are deemed useful and feasible to a certain extent with higher score of usefulness, confirming the adaptability of these instruments into the circular economy framework. These evidence-based results can inform future policies at multiple-levels that will accelerate and scale up circular actions through heritage adaptive reuse. |
| Author Keywords |
adaptive reuse; cultural heritage; circular economy; drivers; policy enablers; policy analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000628623700001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
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