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Developing selection criteria for harmonious co-living: la Maison des Babayagas and beyond

 und    | 02. Apr. 2024


With an ever-increasing pace of change, dwindling resources, and an aging population, modern societies face harsh questions regarding effective governance systems. Moreover, with lingering problems brought on by COVID and ongoing inflationary pressures, the situation for growing numbers of aging women who have outlived their partners and are living on their own is increasingly grim. In Canada, when the elderly cannot manage independently, even the least expensive full-care retirement home options can have a formidable cost, which can be a heavy burden for many. Therefore, it is of utmost importance for society to support independent living as long as possible.

Independent living models are being developed with various constraints and often with profit in mind. However, we were interested in the most economically feasible and socially acceptable solution. One such development is La Maison des Babayagas in Paris, France. This innovative government-subsidized housing project has been developed for retired independent women who pay rent for small apartments according to their means. The residents live in independent units and support one another in an economic and social arrangement that promotes friendships, fights loneliness, and helps each maintain a healthy outlook.

This research aimed to gather data to create an inventory questionnaire to select independent retired women in Canada to live together harmoniously in a housing project based on the successful model developed in Paris. The questionnaire is based on analyzing the Babayagas House charter and resident journals and an extensive review of related inventories and questionnaires. The criteria retained will be explained, and examples of the questions will be presented.

Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Wirtschaftswissenschaften, Volkswirtschaft, andere, Betriebswirtschaft, Mathematik und Statistik für Ökonomen, Mathematik, Statistik