SavedAdd your journal

Journals / Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2017 / Cilt: 20 - Sayı: 37

A Panel Data Analysis of Factors that Affect Housing Prices in the Province of Denizli

DENİZLİ İLİNDE KONUT FİYATLARINA ETKİ EDEN FAKTÖRLERİN PANEL VERİLERLE ANALİZİ

İlhan KÜÇÜKKAPLAN
Figen Amca ALDI
Pages
219–236
Publication Date
2017-06-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Furthermore, location of the house that affects teh house price is one of the factors examined in this study

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Valuation must be made independently with based on correct data by using accurate methods to obtain teh real value of the real estate.
📊
Key Findings & Data:In addition, the housing price difference is also examined as a research subject according to districts where locate within the neighborhoods in this study.As a result, while number of rooms and bathrooms, available space of the home, age of the building, detached using, location of the floor and heating type affect the house prices positively; number of halls and detached duplex architecture significantly affect the prices in a negative way.
💡
Conclusion & Impact:Furthermore, location of the house that affects teh house price is one of the factors examined in this study
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Valuation · Real Estate Valuation · Wallace and Hussain Estimator

Abstract

Valuation must be made independently with based on correct data by using accurate methods to obtain teh real value of the real estate. Thus, during the process of valuating; real estate-related legal practices, concepts, environmental conditions, properties and ownership of real estate should be examined properly for the purposes of valuation. The aim of this study is to determine the factors which affect house prices in Denizli province. In addition, the housing price difference is also examined as a research subject according to districts where locate within the neighborhoods in this study.As a result, while number of rooms and bathrooms, available space of the home, age of the building, detached using, location of the floor and heating type affect the house prices positively; number of halls and detached duplex architecture significantly affect the prices in a negative way. Furthermore, location of the house that affects teh house price is one of the factors examined in this study

Özet

Gayrimenkulün gerçek değerini elde edebilmek için değerlemenin bağımsız ve doğru verilere dayanılarak, doğru yöntemler kullanılarak yapılması gerekir. Dolayısıyla değerleme yapılırken gayrimenkule ilişkin yasal uygulamalar, kavramlar, çevresel koşullar, gayrimenkulün özellikleri ve mülkiyeti değerlemenin amacına uygun olarak önemle irdelenmelidir. Bu çalışmanın amacı, Denizli ilinde konut fiyatlarını ne gibi faktörlerin etkilediğini, hangi unsurların fiyatları değiştirdiğini tespit etmektir. Ayrıca çalışmada kullanılan mahallelerdeki konutların bulundukları semtlere göre fiyatlar arasında bir farklılık olup olmadığı da araştırma konusu olarak belirlenmiştir.Sonuç olarak; konutların fiyatını oda sayısı, banyo sayısı, konutun kullanım alanı, binanın yaşı, konutun müstakil kullanımı, bulunduğu kat ve ısınma tipi pozitif ve anlamlı olarak etkilerken salon sayısı, müstakil dubleks oluşu da negatif anlamlı olarak etkilemektedir. Ayrıca, konutun bulunduğu mahallin de konut fiyatları üzerindeki etkisi bu çalışmada tespit edilen unsurlar arasındadır

🔖

Cite This Article

KÜÇÜKKAPLAN, İ., ALDI, F. A. (2017). A Panel Data Analysis of Factors that Affect Housing Prices in the Province of Denizli. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 20 - Sayı: 37, 219–236. https://ajindex.com/articles/114472

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Abratt, R., Nel, D., Nezer, C. (1995). Role of the market maven in retailing: A general marketplace influencer, Journal of Business & Psychology, 10(1), 31–55.
  2. Argan M., Tokay Argan M. (2006). Viral Pazarlama veya İnternet Üzerinde Ağızdan Ağza Reklam: Kuramsal Bir Çerçeve, 6 (2), 231-249.
  3. Chaffey, D., Mayer, R., Johnston, K., Chadwick, Fiona Ellis (2003). Internet Marketing. 2nd Ed. England (Harlow): Financial Times Prentice Hall. Feick L. F., Price L. L., (1987). The Market Maven: A Diffuser of Marketplace Information, Journal of Marketing, 51 (1), 83-97.
  4. Helm, S. (2000). Viral Marketing-Establishing Customer Relationship by ‘Word of Mouse’. Electronic Markets 10 (3), 158-161.
  5. Hoffmann S. ve Katja S. (2010). A Cognitive Model To Predict Domain-Specific Consumer Innovativeness, Journal of Business Research 63, 778–785.
  6. Hoyer, W. D. ve Deborah J. M. (2004)
  7. Consumer Behavior, Third Edition, New York: Houghton Mifflin Company. Laughlin, J. D. ve MacDonald, J. B. (2010). Identifying market mavens online by their social behaviors in community-generated media, Academy of Marketing Studies Journal, 14(1), 55-70.
  8. Iacobucci, D. ve Hopkins, N. (1992). Modeling Dyadic Interactions And Networks in Marketing, Journal of Marketing Research, 29(1), 5- 17. İşler S. ve Andiç B., (2011). Olta Balıkları ve Viral Pazarlamacılar, XVI. Türkiye’de İnternet Konferansı, 30 Kasım-2 Aralık, ss. 1-9
  9. Jurvetson, S. ve Draper, F. (1997). Viral Marketing, 07 Şubat 2016 tarihinde http://www.dfj.com/news/article_25 adresinden erişildi. Kalaycı Ş. (2008). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, 3. Baskı, Ankara: Asil Yayın Dağıtım. Mowen J. C. ve Minor M. (1998).
  10. Consumer Behavior, Prentice-Hall, Inc., Fifth Edition,
  11. New Jersey. Odabaşı, Y. ve Barış G. (2003). Tüketici Davranışı, 2. Baskı, İstanbul: Kapital Medya A.Ş. Pavlou P. A. ve Fygenson M. (2006). Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior, MIS Quarterly, 30 (1), 115-143.
  12. Phelps, J.E., Lewis, R., Mobilio, L., Perry, D. ve Raman, N. (2004) Viral marketing or electronic word-of-mouth advertising: examining consumer responses and motivations to pass along email, Journal of Advertising Research, 44 (4), 333–348.
  13. Puspa J. ve Rahardja C. T. (2009). Market Mavenism Its Contribution in Building Consumer’s Trust. Gadjah Mada International Journal of Business, 11 (1), 21-35.
  14. Red Bridge Marketing (2008). Social Network Marketing: The Basics, 24 Nisan 2016 tarihinde ht