Claim for increased value in the regime of contribution to acquired property
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
While the legal property regime during the period of the Former Civil Law No. 743 was the separation of property regime, with the Turkish Civil Law No. 4721, which entered into force on 01.01.2002, the regime of contribution to acquired property became the legal property regime, and the possibility of claiming the contributions made by the spouses subject to this regime to a certain asset of the other spouse within the marital union, under the name of the value increase share claim, has emerged in the event of the termination of the property regime in accordance with Article 227 of the Turkish Civil Law. The main purpose of this study is to explain the concepts related to the value increase share receivable stated in Article 227 of the Turkish Civil Law, to determine the scope of implementation of the provision, the terms of claiming the value increase share and the calculation of the receivable according to the type of the contribution made.
Author
Ercüment Çömez
How to Cite
Ercüment Çömez (Master Thesis). Claim for increased value in the regime of contribution to acquired property, 2024, Altınbaş University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Altınbaş University
- The comparison of Samuel P. Huntington's "Clash of Civilizations" and Immanuel Wallerstein's "World Systems Analysis"(2024)
- Hastane mimarisinde fraktal boyutun bilinçli etkisi: Sıcaklık ve konforun artırılması(2024)
- Design of advanced anomaly detection system based on hybrid machine learning technique with optimized feature selection in wireless sensor network(2025)
- The moderating role of self-efficacy in the effect of adverse childhood experiences on parenting attitudes(2025)
- Kanser tedavisi amaçlı nano parçacıkların sentezi ve değerlendirilmesi(2025)
- Altı uzay öğrenme tabanlı tek sınıf sınıflandırma kullanılarak optimize edilmiş bir kötü amaçlı yazılım tespit tekniği(2023)
