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Publisher: Emerald   (Total: 341 journals)

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Showing 1 - 200 of 341 Journals sorted alphabetically
A Life in the Day     Hybrid Journal   (Followers: 12)
Academia Revista Latinoamericana de Administración     Open Access   (Followers: 2, SJR: 0.178, CiteScore: 1)
Accounting Auditing & Accountability J.     Hybrid Journal   (Followers: 30, SJR: 1.71, CiteScore: 3)
Accounting Research J.     Hybrid Journal   (Followers: 25, SJR: 0.144, CiteScore: 0)
Accounting, Auditing and Accountability J.     Hybrid Journal   (Followers: 21, SJR: 2.187, CiteScore: 4)
Advances in Accounting Education     Hybrid Journal   (Followers: 16, SJR: 0.279, CiteScore: 0)
Advances in Appreciative Inquiry     Hybrid Journal   (Followers: 1, SJR: 0.451, CiteScore: 1)
Advances in Autism     Hybrid Journal   (Followers: 21, SJR: 0.222, CiteScore: 1)
Advances in Dual Diagnosis     Hybrid Journal   (Followers: 46, SJR: 0.21, CiteScore: 1)
Advances in Gender Research     Full-text available via subscription   (Followers: 4, SJR: 0.16, CiteScore: 0)
Advances in Intl. Marketing     Full-text available via subscription   (Followers: 6)
Advances in Mental Health and Intellectual Disabilities     Hybrid Journal   (Followers: 72, SJR: 0.296, CiteScore: 0)
Advances in Mental Health and Learning Disabilities     Hybrid Journal   (Followers: 30)
African J. of Economic and Management Studies     Hybrid Journal   (Followers: 10, SJR: 0.216, CiteScore: 1)
Agricultural Finance Review     Hybrid Journal   (SJR: 0.406, CiteScore: 1)
Aircraft Engineering and Aerospace Technology     Hybrid Journal   (Followers: 198, SJR: 0.354, CiteScore: 1)
American J. of Business     Hybrid Journal   (Followers: 17)
Annals in Social Responsibility     Full-text available via subscription  
Anti-Corrosion Methods and Materials     Hybrid Journal   (Followers: 11, SJR: 0.235, CiteScore: 1)
Arts and the Market     Hybrid Journal   (Followers: 9)
Asia Pacific J. of Innovation and Entrepreneurship     Open Access  
Asia Pacific J. of Marketing and Logistics     Hybrid Journal   (Followers: 8, SJR: 0.425, CiteScore: 1)
Asia-Pacific J. of Business Administration     Hybrid Journal   (Followers: 5, SJR: 0.234, CiteScore: 1)
Asian Association of Open Universities J.     Open Access   (Followers: 1)
Asian Education and Development Studies     Hybrid Journal   (Followers: 5, SJR: 0.233, CiteScore: 1)
Asian J. on Quality     Hybrid Journal   (Followers: 3)
Asian Review of Accounting     Hybrid Journal   (Followers: 2, SJR: 0.222, CiteScore: 1)
Aslib J. of Information Management     Hybrid Journal   (Followers: 27, SJR: 0.725, CiteScore: 2)
Aslib Proceedings     Hybrid Journal   (Followers: 298)
Assembly Automation     Hybrid Journal   (Followers: 2, SJR: 0.603, CiteScore: 2)
Baltic J. of Management     Hybrid Journal   (Followers: 3, SJR: 0.309, CiteScore: 1)
Benchmarking : An Intl. J.     Hybrid Journal   (Followers: 10, SJR: 0.559, CiteScore: 2)
British Food J.     Hybrid Journal   (Followers: 16, SJR: 0.5, CiteScore: 2)
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 14, SJR: 0.46, CiteScore: 1)
Business Process Re-engineering & Management J.     Hybrid Journal   (Followers: 8)
Business Strategy Series     Hybrid Journal   (Followers: 6)
Career Development Intl.     Hybrid Journal   (Followers: 17, SJR: 0.527, CiteScore: 2)
China Agricultural Economic Review     Hybrid Journal   (Followers: 2, SJR: 0.31, CiteScore: 1)
China Finance Review Intl.     Hybrid Journal   (Followers: 5, SJR: 0.245, CiteScore: 0)
Chinese Management Studies     Hybrid Journal   (Followers: 4, SJR: 0.278, CiteScore: 1)
Circuit World     Hybrid Journal   (Followers: 15, SJR: 0.246, CiteScore: 1)
Collection Building     Hybrid Journal   (Followers: 11, SJR: 0.296, CiteScore: 1)
COMPEL: The Intl. J. for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3, SJR: 0.22, CiteScore: 1)
Competitiveness Review : An Intl. Business J. incorporating J. of Global Competitiveness     Hybrid Journal   (Followers: 5, SJR: 0.274, CiteScore: 1)
Construction Innovation: Information, Process, Management     Hybrid Journal   (Followers: 14, SJR: 0.731, CiteScore: 2)
Corporate Communications An Intl. J.     Hybrid Journal   (Followers: 7, SJR: 0.453, CiteScore: 1)
Corporate Governance Intl. J. of Business in Society     Hybrid Journal   (Followers: 7, SJR: 0.336, CiteScore: 1)
Critical Perspectives on Intl. Business     Hybrid Journal   (SJR: 0.378, CiteScore: 1)
Cross Cultural & Strategic Management     Hybrid Journal   (Followers: 8, SJR: 0.504, CiteScore: 2)
Development and Learning in Organizations     Hybrid Journal   (Followers: 7, SJR: 0.138, CiteScore: 0)
Digital Library Perspectives     Hybrid Journal   (Followers: 24, SJR: 0.341, CiteScore: 1)
Direct Marketing An Intl. J.     Hybrid Journal   (Followers: 6)
Disaster Prevention and Management     Hybrid Journal   (Followers: 21, SJR: 0.47, CiteScore: 1)
Drugs and Alcohol Today     Hybrid Journal   (Followers: 133, SJR: 0.245, CiteScore: 1)
Education + Training     Hybrid Journal   (Followers: 23)
Education, Business and Society : Contemporary Middle Eastern Issues     Hybrid Journal   (Followers: 1, SJR: 1.707, CiteScore: 3)
Emerald Emerging Markets Case Studies     Hybrid Journal   (Followers: 1)
Employee Relations     Hybrid Journal   (Followers: 8, SJR: 0.551, CiteScore: 2)
Engineering Computations     Hybrid Journal   (Followers: 3, SJR: 0.444, CiteScore: 1)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 10, SJR: 0.653, CiteScore: 2)
English Teaching: Practice & Critique     Hybrid Journal   (SJR: 0.417, CiteScore: 1)
Equal Opportunities Intl.     Hybrid Journal   (Followers: 3)
Equality, Diversity and Inclusion : An Intl. J.     Hybrid Journal   (Followers: 13, SJR: 0.5, CiteScore: 1)
EuroMed J. of Business     Hybrid Journal   (Followers: 1, SJR: 0.26, CiteScore: 1)
European Business Review     Hybrid Journal   (Followers: 8, SJR: 0.585, CiteScore: 3)
European J. of Innovation Management     Hybrid Journal   (Followers: 23, SJR: 0.454, CiteScore: 2)
European J. of Management and Business Economics     Open Access   (Followers: 1, SJR: 0.239, CiteScore: 1)
European J. of Marketing     Hybrid Journal   (Followers: 20, SJR: 0.971, CiteScore: 2)
European J. of Training and Development     Hybrid Journal   (Followers: 11, SJR: 0.477, CiteScore: 1)
Evidence-based HRM     Hybrid Journal   (Followers: 5, SJR: 0.537, CiteScore: 1)
Facilities     Hybrid Journal   (Followers: 2, SJR: 0.503, CiteScore: 2)
Foresight     Hybrid Journal   (Followers: 7, SJR: 0.34, CiteScore: 1)
Gender in Management : An Intl. J.     Hybrid Journal   (Followers: 18, SJR: 0.412, CiteScore: 1)
Grey Systems : Theory and Application     Hybrid Journal   (Followers: 1)
Health Education     Hybrid Journal   (Followers: 2, SJR: 0.421, CiteScore: 1)
Higher Education, Skills and Work-based Learning     Hybrid Journal   (Followers: 46, SJR: 0.426, CiteScore: 1)
History of Education Review     Hybrid Journal   (Followers: 12, SJR: 0.26, CiteScore: 0)
Housing, Care and Support     Hybrid Journal   (Followers: 8, SJR: 0.171, CiteScore: 0)
Human Resource Management Intl. Digest     Hybrid Journal   (Followers: 17, SJR: 0.129, CiteScore: 0)
Humanomics     Hybrid Journal   (Followers: 2, SJR: 0.333, CiteScore: 1)
IMP J.     Hybrid Journal  
Indian Growth and Development Review     Hybrid Journal   (SJR: 0.174, CiteScore: 0)
Industrial and Commercial Training     Hybrid Journal   (Followers: 5, SJR: 0.301, CiteScore: 1)
Industrial Lubrication and Tribology     Hybrid Journal   (Followers: 5, SJR: 0.334, CiteScore: 1)
Industrial Management & Data Systems     Hybrid Journal   (Followers: 7, SJR: 0.904, CiteScore: 3)
Industrial Robot An Intl. J.     Hybrid Journal   (Followers: 2, SJR: 0.318, CiteScore: 1)
Info     Hybrid Journal   (Followers: 1)
Information and Computer Security     Hybrid Journal   (Followers: 22, SJR: 0.307, CiteScore: 1)
Information Technology & People     Hybrid Journal   (Followers: 43, SJR: 0.671, CiteScore: 2)
Interactive Technology and Smart Education     Hybrid Journal   (Followers: 11, SJR: 0.191, CiteScore: 1)
Interlending & Document Supply     Hybrid Journal   (Followers: 60)
Internet Research     Hybrid Journal   (Followers: 37, SJR: 1.645, CiteScore: 5)
Intl. J. for Lesson and Learning Studies     Hybrid Journal   (Followers: 4, SJR: 0.324, CiteScore: 1)
Intl. J. for Researcher Development     Hybrid Journal   (Followers: 10)
Intl. J. of Accounting and Information Management     Hybrid Journal   (Followers: 9, SJR: 0.275, CiteScore: 1)
Intl. J. of Bank Marketing     Hybrid Journal   (Followers: 8, SJR: 0.654, CiteScore: 3)
Intl. J. of Climate Change Strategies and Management     Hybrid Journal   (Followers: 16, SJR: 0.353, CiteScore: 1)
Intl. J. of Clothing Science and Technology     Hybrid Journal   (Followers: 7, SJR: 0.318, CiteScore: 1)
Intl. J. of Commerce and Management     Hybrid Journal   (Followers: 1)
Intl. J. of Conflict Management     Hybrid Journal   (Followers: 15, SJR: 0.362, CiteScore: 1)
Intl. J. of Contemporary Hospitality Management     Hybrid Journal   (Followers: 13, SJR: 1.452, CiteScore: 4)
Intl. J. of Culture Tourism and Hospitality Research     Hybrid Journal   (Followers: 19, SJR: 0.339, CiteScore: 1)
Intl. J. of Development Issues     Hybrid Journal   (Followers: 9, SJR: 0.139, CiteScore: 0)
Intl. J. of Disaster Resilience in the Built Environment     Hybrid Journal   (Followers: 6, SJR: 0.387, CiteScore: 1)
Intl. J. of Educational Management     Hybrid Journal   (Followers: 5, SJR: 0.559, CiteScore: 1)
Intl. J. of Emergency Services     Hybrid Journal   (Followers: 6, SJR: 0.201, CiteScore: 1)
Intl. J. of Emerging Markets     Hybrid Journal   (Followers: 3, SJR: 0.474, CiteScore: 2)
Intl. J. of Energy Sector Management     Hybrid Journal   (Followers: 2, SJR: 0.349, CiteScore: 1)
Intl. J. of Entrepreneurial Behaviour & Research     Hybrid Journal   (Followers: 4, SJR: 0.629, CiteScore: 2)
Intl. J. of Event and Festival Management     Hybrid Journal   (Followers: 5, SJR: 0.388, CiteScore: 1)
Intl. J. of Gender and Entrepreneurship     Hybrid Journal   (Followers: 6, SJR: 0.445, CiteScore: 1)
Intl. J. of Health Care Quality Assurance     Hybrid Journal   (Followers: 12, SJR: 0.358, CiteScore: 1)
Intl. J. of Health Governance     Hybrid Journal   (Followers: 26, SJR: 0.247, CiteScore: 1)
Intl. J. of Housing Markets and Analysis     Hybrid Journal   (Followers: 9, SJR: 0.211, CiteScore: 1)
Intl. J. of Human Rights in Healthcare     Hybrid Journal   (Followers: 7, SJR: 0.205, CiteScore: 0)
Intl. J. of Information and Learning Technology     Hybrid Journal   (Followers: 8, SJR: 0.226, CiteScore: 1)
Intl. J. of Innovation Science     Hybrid Journal   (Followers: 11, SJR: 0.197, CiteScore: 1)
Intl. J. of Intelligent Computing and Cybernetics     Hybrid Journal   (Followers: 3, SJR: 0.214, CiteScore: 1)
Intl. J. of Intelligent Unmanned Systems     Hybrid Journal   (Followers: 4)
Intl. J. of Islamic and Middle Eastern Finance and Management     Hybrid Journal   (Followers: 9, SJR: 0.375, CiteScore: 1)
Intl. J. of Law and Management     Hybrid Journal   (Followers: 2, SJR: 0.217, CiteScore: 1)
Intl. J. of Law in the Built Environment     Hybrid Journal   (Followers: 3, SJR: 0.227, CiteScore: 0)
Intl. J. of Leadership in Public Services     Hybrid Journal   (Followers: 20)
Intl. J. of Lean Six Sigma     Hybrid Journal   (Followers: 6, SJR: 0.802, CiteScore: 3)
Intl. J. of Logistics Management     Hybrid Journal   (Followers: 10, SJR: 0.71, CiteScore: 2)
Intl. J. of Managerial Finance     Hybrid Journal   (Followers: 5, SJR: 0.203, CiteScore: 1)
Intl. J. of Managing Projects in Business     Hybrid Journal   (Followers: 2, SJR: 0.36, CiteScore: 2)
Intl. J. of Manpower     Hybrid Journal   (Followers: 2, SJR: 0.365, CiteScore: 1)
Intl. J. of Mentoring and Coaching in Education     Hybrid Journal   (Followers: 24, SJR: 0.426, CiteScore: 1)
Intl. J. of Migration, Health and Social Care     Hybrid Journal   (Followers: 12, SJR: 0.307, CiteScore: 1)
Intl. J. of Numerical Methods for Heat & Fluid Flow     Hybrid Journal   (Followers: 11, SJR: 0.697, CiteScore: 3)
Intl. J. of Operations & Production Management     Hybrid Journal   (Followers: 18, SJR: 2.052, CiteScore: 4)
Intl. J. of Organizational Analysis     Hybrid Journal   (Followers: 3, SJR: 0.268, CiteScore: 1)
Intl. J. of Pervasive Computing and Communications     Hybrid Journal   (Followers: 3, SJR: 0.138, CiteScore: 1)
Intl. J. of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4, SJR: 0.25, CiteScore: 1)
Intl. J. of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 11, SJR: 1.821, CiteScore: 4)
Intl. J. of Prisoner Health     Hybrid Journal   (Followers: 8, SJR: 0.303, CiteScore: 1)
Intl. J. of Productivity and Performance Management     Hybrid Journal   (Followers: 7, SJR: 0.578, CiteScore: 2)
Intl. J. of Public Sector Management     Hybrid Journal   (Followers: 25, SJR: 0.438, CiteScore: 1)
Intl. J. of Quality & Reliability Management     Hybrid Journal   (Followers: 7, SJR: 0.492, CiteScore: 2)
Intl. J. of Quality and Service Sciences     Hybrid Journal   (Followers: 2, SJR: 0.309, CiteScore: 1)
Intl. J. of Retail & Distribution Management     Hybrid Journal   (Followers: 6, SJR: 0.742, CiteScore: 3)
Intl. J. of Service Industry Management     Hybrid Journal   (Followers: 2)
Intl. J. of Social Economics     Hybrid Journal   (Followers: 5, SJR: 0.225, CiteScore: 1)
Intl. J. of Sociology and Social Policy     Hybrid Journal   (Followers: 49, SJR: 0.3, CiteScore: 1)
Intl. J. of Sports Marketing and Sponsorship     Hybrid Journal   (Followers: 1, SJR: 0.269, CiteScore: 1)
Intl. J. of Structural Integrity     Hybrid Journal   (Followers: 2, SJR: 0.228, CiteScore: 0)
Intl. J. of Sustainability in Higher Education     Hybrid Journal   (Followers: 14, SJR: 0.502, CiteScore: 2)
Intl. J. of Tourism Cities     Hybrid Journal   (Followers: 2, SJR: 0.502, CiteScore: 0)
Intl. J. of Web Information Systems     Hybrid Journal   (Followers: 4, SJR: 0.186, CiteScore: 1)
Intl. J. of Wine Business Research     Hybrid Journal   (Followers: 8, SJR: 0.562, CiteScore: 2)
Intl. J. of Workplace Health Management     Hybrid Journal   (Followers: 11, SJR: 0.303, CiteScore: 1)
Intl. Marketing Review     Hybrid Journal   (Followers: 15, SJR: 0.895, CiteScore: 3)
Irish J. of Occupational Therapy     Open Access   (Followers: 1)
ISRA Intl. J. of Islamic Finance     Open Access  
J. for Multicultural Education     Hybrid Journal   (Followers: 1, SJR: 0.237, CiteScore: 1)
J. of Accounting & Organizational Change     Hybrid Journal   (Followers: 5, SJR: 0.301, CiteScore: 1)
J. of Accounting in Emerging Economies     Hybrid Journal   (Followers: 9)
J. of Adult Protection, The     Hybrid Journal   (Followers: 15, SJR: 0.314, CiteScore: 1)
J. of Advances in Management Research     Hybrid Journal   (Followers: 2)
J. of Aggression, Conflict and Peace Research     Hybrid Journal   (Followers: 44, SJR: 0.222, CiteScore: 1)
J. of Agribusiness in Developing and Emerging Economies     Hybrid Journal   (SJR: 0.108, CiteScore: 0)
J. of Applied Accounting Research     Hybrid Journal   (Followers: 16, SJR: 0.227, CiteScore: 1)
J. of Applied Research in Higher Education     Hybrid Journal   (Followers: 49, SJR: 0.2, CiteScore: 0)
J. of Asia Business Studies     Hybrid Journal   (Followers: 2, SJR: 0.245, CiteScore: 1)
J. of Assistive Technologies     Hybrid Journal   (Followers: 20)
J. of Business & Industrial Marketing     Hybrid Journal   (Followers: 8, SJR: 0.652, CiteScore: 2)
J. of Business Strategy     Hybrid Journal   (Followers: 11, SJR: 0.333, CiteScore: 1)
J. of Centrum Cathedra     Open Access  
J. of Children's Services     Hybrid Journal   (Followers: 5, SJR: 0.243, CiteScore: 1)
J. of Chinese Economic and Foreign Trade Studies     Hybrid Journal   (Followers: 1, SJR: 0.2, CiteScore: 0)
J. of Chinese Entrepreneurship     Hybrid Journal   (Followers: 4)
J. of Chinese Human Resource Management     Hybrid Journal   (Followers: 6, SJR: 0.173, CiteScore: 1)
J. of Communication Management     Hybrid Journal   (Followers: 6, SJR: 0.625, CiteScore: 1)
J. of Consumer Marketing     Hybrid Journal   (Followers: 17, SJR: 0.664, CiteScore: 2)
J. of Corporate Real Estate     Hybrid Journal   (Followers: 3, SJR: 0.368, CiteScore: 1)
J. of Criminal Psychology     Hybrid Journal   (Followers: 125, SJR: 0.268, CiteScore: 1)
J. of Criminological Research, Policy and Practice     Hybrid Journal   (Followers: 46, SJR: 0.254, CiteScore: 1)
J. of Cultural Heritage Management and Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 0.257, CiteScore: 1)
J. of Documentation     Hybrid Journal   (Followers: 177, SJR: 0.613, CiteScore: 1)
J. of Economic and Administrative Sciences     Hybrid Journal   (Followers: 2)
J. of Economic Studies     Hybrid Journal   (Followers: 5, SJR: 0.733, CiteScore: 1)
J. of Educational Administration     Hybrid Journal   (Followers: 6, SJR: 1.252, CiteScore: 2)
J. of Enabling Technologies     Hybrid Journal   (Followers: 8, SJR: 0.369, CiteScore: 1)
J. of Engineering, Design and Technology     Hybrid Journal   (Followers: 16, SJR: 0.212, CiteScore: 1)
J. of Enterprise Information Management     Hybrid Journal   (Followers: 4, SJR: 0.827, CiteScore: 4)
J. of Enterprising Communities People and Places in the Global Economy     Hybrid Journal   (Followers: 1, SJR: 0.281, CiteScore: 1)
J. of Entrepreneurship and Public Policy     Hybrid Journal   (Followers: 8, SJR: 0.262, CiteScore: 1)
J. of European Industrial Training     Hybrid Journal   (Followers: 2)
J. of European Real Estate Research     Hybrid Journal   (Followers: 3, SJR: 0.268, CiteScore: 1)
J. of Facilities Management     Hybrid Journal   (Followers: 4, SJR: 0.33, CiteScore: 1)
J. of Family Business Management     Hybrid Journal   (Followers: 7)
J. of Fashion Marketing and Management     Hybrid Journal   (Followers: 12, SJR: 0.608, CiteScore: 2)
J. of Financial Crime     Hybrid Journal   (Followers: 362, SJR: 0.228, CiteScore: 0)
J. of Financial Economic Policy     Hybrid Journal   (Followers: 1, SJR: 0.186, CiteScore: 0)
J. of Financial Management of Property and Construction     Hybrid Journal   (Followers: 8, SJR: 0.309, CiteScore: 1)
J. of Financial Regulation and Compliance     Hybrid Journal   (Followers: 8, SJR: 0.159, CiteScore: 0)
J. of Financial Reporting and Accounting     Hybrid Journal   (Followers: 13)
J. of Forensic Practice     Hybrid Journal   (Followers: 56, SJR: 0.205, CiteScore: 1)
J. of Global Mobility     Hybrid Journal   (Followers: 2, SJR: 0.377, CiteScore: 1)

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Journal Cover
International Journal of Housing Markets and Analysis
Journal Prestige (SJR): 0.211
Citation Impact (citeScore): 1
Number of Followers: 9  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1753-8270
Published by Emerald Homepage  [341 journals]
  • Editorial
    • Pages: 450 - 452
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 450-452, June 2018.

      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-06-04T10:41:07Z
      DOI: 10.1108/IJHMA-06-2018-105
       
  • Macro-economic index effect on house prices in China
    • Pages: 453 - 475
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 453-475, June 2018.
      Purpose The purpose of this study is to estimate different data models on house prices using statistical models and the variables which are controlled by real estate policy. Design/methodology/approach This study used several statistical techniques, such as Vector auto-regression (VAR), Johansen co-integration and variance decomposition, which aim to assess the significant effect of macroeconomic factors on Chinese house prices. Findings The results show that land supply and other variables have negative effects on house prices. The results also indicate that financial mortgages for real estate have positive effects on house prices and the area of vacant houses as well as the area of housing sold. Research limitations/implications This study only covers three cities in China because of limitations of data for other cities. Originality/value This study proposes policy suggestions according to the empirical results obtained.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-03-27T12:23:58Z
      DOI: 10.1108/IJHMA-03-2017-0025
       
  • Housing affordability in Malaysia: perception, price range, influencing
           factors and policies
    • Pages: 476 - 497
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 476-497, June 2018.
      Purpose The purpose of this paper is to explore the affordability of Malaysian housing market, sufficiency of affordable housing and factors influencing the housing affordability in Malaysia. Design/methodology/approach In this study, qualitative research approach was adopted. Semi-structured interviews were conducted with ten industry practitioners from developers and real estate agencies and further validation with three industry experts. Findings The findings reveal that housing affordability is a grave concern to average Malaysians, and the supply of affordable housing is insufficient in the current residential property market. Income, property price, land cost and demand and supply are identified as significant factors affecting housing affordability. Research limitations/implications The research findings provide an insight rather than definitive information, as the small sample size could limit the generalizability of the findings. Future research can include participants from the public sector and focus on the policy options. Practical implications This paper provided numerous policies to ensure successful deliverability of affordable housing which eases government to partner with private sector to formulate a systematic framework for implementation of affordable housing programs and schemes. Social implications There is a need for government to pay more attention to housing needs of middle-income groups. Also, the government is urged to ensure transparent balloting process in every implementation of affordable housing programs. Originality/value The paper emphasised the issues of undersupply of affordable housing and mismatch of property price and income. The paper also highlights the key reasons behind high housing affordability index. Hence, it is hoped that this paper will encourage positive debate and gain some attention from the policymakers, practitioners and researchers in Malaysia and beyond.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-15T11:08:32Z
      DOI: 10.1108/IJHMA-08-2017-0069
       
  • Bank lending and housing prices in Sweden
    • Pages: 498 - 519
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 498-519, June 2018.
      Purpose The purpose of this study is to investigate the Granger causal link between bank lending and housing prices. Design/methodology/approach Several econometric methods, including Granger causality tests based on a vector error correction model, were applied to analyse monthly time series data in the Swedish context. The data cover bank lending, apartment prices, villa prices, mortgage rates and the consumer price index from September 2005 to October 2013. Findings The results indicate that bank lending and housing prices are cointegrated. According to Granger causality tests, bidirectional relationships exist between bank lending and each of apartment and villa prices, confirming the financial accelerator mechanism. However, earlier shocks arising from housing prices themselves account for the greatest variation in future prices. Originality/value To the authors’ knowledge, this study represents the first analysis of the causal link between bank lending and the housing market in terms of apartment and villa prices in the Swedish context.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-04-12T08:15:04Z
      DOI: 10.1108/IJHMA-07-2017-0063
       
  • Classifying elements of a typology of gated communities
    • Pages: 520 - 540
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 520-540, June 2018.
      Purpose This paper aims to classify major elements in a typology of gated communities and develop a framework that can be used to promote international comparison of this built form. Design/methodology/approach The paper draws on a survey of 77 gated housing estates in Hong Kong and interviews with major stakeholders to develop and order a classification of elements of a typology of gated communities. Principle component analysis and regression analysis are used in conjunction with insights from 20 in-depth and about 70 open-ended face-to-face interviews. Findings This paper explores Hong Kong’s gated communities to evaluate the relationships between the four main elements of a typology of gated communities: supply, demand, features of gated estates and characteristics of built form. It is suggested that there is a hierarchical relationship between the elements, i.e. supply and demand are higher-order elements and features of gated housing and characteristics of the housing stock are lower-order elements. The paper additionally highlights the impact of definitional and conceptual drift in key concepts, such as security, privacy, prestige and lifestyle, on developing robust typologies. Originality/value The paper reviews the many and varied typologies of gated communities in the international literature, classifies the elements into four main groups and posits a hierarchical relationship between these elements. This paper proposes a robust methodology for further comparative research into gated communities.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-04-24T08:18:19Z
      DOI: 10.1108/IJHMA-07-2017-0065
       
  • Determinants of housing prices: evidence from Ontario cities, 2001-2011
    • Pages: 541 - 556
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 541-556, June 2018.
      Purpose This paper aims to present a panel data econometric model of the main determinants of house prices in the ten largest census metropolitan areas (CMA) in Ontario, Canada, for the years 2001, 2006 and 2011. The impact of immigration on the housing market in Canada is little researched; however, immigration plays an important role into the economy of Canada. According to Statistics Canada, not only is immigration key to Canada’s population growth but also without immigration, in the next 20 years, Canada’s population growth will be zero. The motivation for this study is the bursting of housing bubbles in some developed countries (e.g. USA). The authors analyze variables that are related to the immigration policy in Canada, accounting also for the impact of the interest rate, income, unemployment, household size and housing supply to analyze housing price determinants. The study investigates the magnitude of the impact of the top three leading categories of immigrants to Canada, namely, Chinese, Indian and Filipino, on the housing prices in Ontario’s largest cities. The results show the main factors that explain home prices over time that are interest rate, immigration, unemployment rate, household size and income. Over the 10-year period from 2001 to 2011, immigration grew by 400 per cent in Toronto CMA, the largest receiving area in Ontario, while the nonimmigrant population grew by 14 per cent. For Toronto CMA, immigrants, income, unemployment rate and interest rate explain the CA$158,875 average home price increase over the 2001-2011 time period. Out of this, the three categories of immigrants’ share of total home price increase is 54.57 per cent, with the corresponding interest rate share 58.60 per cent and income share 11.32 per cent of the total price growth. Unemployment rate contributes negatively to the housing price and its share of the total price increase is 24.49 per cent. Design/methodology/approach The framework for the empirical analysis applies the hedonic pricing model theory to housing sales prices for the ten largest CMAs in Ontario over the years 2001-2011. Following Akbari and Aydede (2012) and O’Meara (2015), market clearing in the housing market results in the housing price as a function of several housing attributes. The authors selected the housing attributes based on data availability for the Canadian Census years of 2001, 2006 and 2011 and the variables that have been most used in the literature. The model has the average housing prices as the dependent variable, and the independent variables are: immigrants per dwelling (Chinese, Indian, and Filipino), unemployment rate, average employment income, household size, housing supply and the interest rate. To capture the relative scarcity of dwellings, the independent variable immigrants per dwelling was used. Findings This study seems to suggest that one cause of high prices in Ontario is large inflows of immigrants together with low mortgage interest rate. The authors focused their attention on Toronto CMA, as it is the main destination of immigrants and comprises the largest cities, including Toronto, Mississauga, Brampton and Oakville. Looking over the 10-year period from 2001 to 2011, the authors can see the factors that impact the home prices in Toronto CMA: immigration, unemployment rate, household size, interest rate and income. Over the period of 10 years from 2001 to 2011, immigrants’ group from China, India and the Philippines account for CA$86,701 increase in the home price (54.57 per cent share of the total increase). Income accounts for CA$17,986 increase in the home price (11.32 per cent share); interest rate accounts for CA$93,103 of the average home price increase in Toronto CMA (58.60 per cent share); and unemployment rate accounts for CA$38,916 decrease in the Toronto average home prices (24.49 per cent share). Household size remain stable over time in Toronto (2.8 average household size) and does not have a contribution to home price change. All these four factors, interest rate, immigrants, unemployment rate and income, together explain CA$158,875 increase in home prices in Toronto CMA between 2001 and 2011. Practical implications The housing market price analysis may be more complex, and there may be factors impacting the housing prices extending beyond immigration, interest rate, income and household size. Finally, the results of this paper can be extended to include the most recent census data for the year 2016 to reflect more accurately the price situation in the housing market for Ontario cities. Social implications The fact that currently, in 2017, the young working population cannot afford buying a property in the Toronto CMA area means there is a problem with this market and a corresponding decrease in the quality of life. According to The Globe and Mail (July 2017), a new pool in 2017 suggested that two in five Canadians believe housing in this country is not affordable for them. Further, 38 per cent of respondents who consider themselves middle or upper class believe in no affordability of housing. The Trudeau Government promised Canadians a national housing strategy for affordable housing. Designing a national housing strategy may be challenging because it has to account for the differential income ranges across regions. Municipal leaders are asking the government to prioritize repair and construct new affordable housing. Another reason discussed in the media of the unaffordability of housing in Toronto and Vancouver is foreign buyers. The Canadian Government recently implemented a tax measure on what it may seem the housing bubble problem: foreign buyers. Following Vancouver, in April 2017, Ontario Government imposed a 15 per cent tax on foreign buyers who are not Canadian citizens or permanent residents. This tax is levied on ho...
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-22T05:11:40Z
      DOI: 10.1108/IJHMA-08-2017-0078
       
  • Strategies used by developers in seeking EnviroDevelopment certification
           for “sustainable” master-planned residential developments in Victoria,
           Australia
    • Pages: 557 - 572
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 557-572, June 2018.
      Purpose The purpose of this study was to explore strategies used by developers of master-planned housing development projects in Victoria, Australia, for obtaining certification under the Urban Development Institute of Australia’s (UDIA) EnviroDevelopment (ED) sustainable development certification programme. To be awarded ED certification, a development must demonstrate that it meets the assessment criteria within at least four of the six ED “leaves”. These leaves relate to its performance in terms of energy, water, materials, waste, community and ecosystems. This study explored how developers make choices regarding sustainability features they build into the planning, design and management of their developments to gain the leaves needed for ED certification. Having this certification is valued by developers as it can be used to demonstrate the sustainability credentials of their developments to potential house buyers, the validity of which is backed up by a trusted independent non-profit organisation (UDIA). Design/methodology/approach The study sought to quantify the preferential weightings of nine developers in selecting ED “leaves” and the strategies they use for meeting the assessment criteria needed to obtain selected ED leaves. This was done using a novel data collection and analysis method, the analytical hierarchical process (AHP), which relies on respondents, in this case, developers of ED certified development projects, making pairwise comparisons between choices of different development factors associated with the different ED “leaves”. Findings The most highly preferred ED leaves were found to be community, energy and ecosystems. “Community facilities” and “on-site transportation” were the two most highly weighted factors associated with the community leaf. Energy, the next most preferred leaf, was most highly weighted on “saving on operational costs” for the consumers (home buyers). Here consumer demand factors seem to be driving preferences. The ecology leaf was the next most preferred, with “existing site conditions” being the most highly weighted factor for this leaf. For sites that already contain significant areas of indigenous habitat, such as wetlands, selecting this leaf would seem to be an attractive, and potentially lower cost, option. Existing ecologically significant natural areas that are preserved, and where necessary enhanced, can be used for marketing purposes and serve in fulfilling planning open-space contribution requirements. The developers were more indifferent to the water, waste and materials leaves; however, the water leaf was rated slightly higher than the other two and was most strongly associated with “recycled water” and opportunities for “water conservation”, another example of demand factors driving preferences. Originality/value The results of this study reveal the preferences of a small sample of developers in terms of how they weigh different factors in making decisions about acquiring sustainability certification for residential master-planned development projects through the UDIA’S ED programme. The findings provide insight into the types of decisions developers make in the process of seeking ED certification, which includes considerations of site characteristics, costs, predicted effectiveness of different interventions and usefulness for marketing and other factors in terms of which ED leaves to pursue and how to acquire them to gain ED certification. The study also tested the AHP method as a methodological tool for addressing this question. Modifications in how data are collected using the on-line survey can be made to allow the method to be more easily used with larger respondent sample sizes. Collection of more focussed data elicited from respondents with specific areas of expertise, for example, specialists in energy, water, landscape architecture and planning, ecology and other relevant areas of knowledge, should also been considered.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-25T12:10:42Z
      DOI: 10.1108/IJHMA-08-2017-0074
       
  • Achieving property valuation accuracy in developing countries: the
           implication of data source
    • Pages: 573 - 585
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 573-585, June 2018.
      Purpose The demand for accurate property value estimation by valuation report end users has led to a shift towards advanced property valuation modelling techniques in some property markets and these require a sizeable number of data set to function. In a situation where there is a lack of a centralised transaction data bank, scholars and practitioners usually collect data from different sources for analysis, which could affect the accuracy of property valuation estimates. This study aims to establish the suitability of different data sources that are reliable for estimating accurate property values. Design/methodology/approach This study adopts the Lagos metropolis property market, Nigeria, as the study area. Transaction data of residential properties are collected from two sources, i.e. from real estate firms (selling price) and listing prices from an online real estate company. A portion of the collected data is fitted into the artificial neural network (ANN) model, which is used to predict the remaining property prices. The holdout sample data are predicted with the developed ANN models. Thereafter, the predicted prices and the actual prices are compared so as to establish which data set generates the most accurate property valuation estimates. Findings It is found that the listing data (listing prices) produced an encouraging mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE) values compared with the firms’ data (selling prices). An MAPE value of 26.93 and 29.96 per cent was generated from the listing and firms’ data, respectively. A larger proportion of the predicted listing prices had property valuation error of margin that is within the industry acceptable standard of between ±0 and 10 per cent, compared with the predicted selling prices. Also, a higher valuation accuracy was recorded in properties with lower values, compared with expensive properties. Practical implications The opaqueness in real estate transactions consummated in developing nations could be attributed to why selling prices (data) could not produce more accurate valuation estimates in this study than listing prices. Despite the encouraging results produced using listing prices, there is still an urgent need to maintain a robust and quality property data bank in developing nations, as obtainable in most developed nations, so as to achieve a sustainable global property valuation practice. Originality/value This study does not investigate the relationship between listing prices and selling prices, which has been conducted in previous studies, but examines their suitability to improve property valuation accuracy in an emerging property market. The findings of this study would be useful in property markets where property transaction data bank is not available.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-04-27T01:21:31Z
      DOI: 10.1108/IJHMA-07-2017-0068
       
  • Volume effects in the London housing market
    • Pages: 586 - 602
      Abstract: International Journal of Housing Markets and Analysis, Volume 11, Issue 3, Page 586-602, June 2018.
      Purpose This paper aims to extend existing research in relation to both the importance of volume effects within housing markets and the specific behaviour of the London housing market. A detailed borough-level examination is undertaken of the relationships between volume, house prices and house price volatility. Support for alternative housing market theories, the degree of heterogeneity in house price behaviour across boroughs and the extent to which housing displays differing properties to other financial assets are examined. Design/methodology/approach Correlation analyses, causality testing and volatility modelling are undertaken in extended forms which synthesise and extend approaches within the housing, economics and finance literatures. The various modelling and testing techniques are supplemented via the use of alternative variable transformations to evaluate housing market behaviour in detail. Findings Novel findings are provided concerning both volume effects within housing markets generally and the specific properties of London housing market. Evidence concerning bubbles, the volatility-reducing effects of volume, the importance of geographical and price-related factors underlying the relationship between volume and both house price growth and volatility and the presence of asymmetric adjustment in the London housing market are all provided. The extent and nature of the support available for alternative housing market theories are evaluated. Originality/value The volatility-reducing effects of volume within housing markets, along with volume effects and the presence of asymmetric adjustment within the London housing market are examined for the first time. New empirical evidence on the support for alternative housing market theories and the differing empirical characteristics of housing relative to other financial assets are presented.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-22T05:26:40Z
      DOI: 10.1108/IJHMA-11-2017-0096
       
  • Housing wealth effects for private and subsidized homeowners
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose This paper aims to examine the effect of housing wealth on household consumption when there are resale and refinancing constraints that prevent housing assets from being cashed out. Design/methodology/approach Based on Household Expenditure Survey data in Hong Kong from 1999 to 2010, regression analysis is applied to compare the housing wealth effects of private and subsidized homeowners. Propensity score matching is adopted to ensure that the two groups of homeowners share similar household income. Further regression analysis is conducted to examine private homeowners’ consumption when their recourse mortgages are in negative equity. Findings Subsidized homeowners, who are not allowed to resell their units before sharing their capital gain with the government, experienced an insignificant housing wealth effect. While private homeowners experienced a significant housing wealth effect, the effect was weakened in the presence of a resale constraint induced by negative equity. The results remain robust after the application of more rigorous sample selection through propensity score matching. Research limitations/implications The analyses are subject to two potential data limitations. One is a relatively small sample size. The other is that data on financial assets and mortgages are unavailable and have to be indirectly controlled through household characteristics. Nevertheless, our estimated marginal propensity to consume out of housing wealth is 0.03 of the annual household consumption for private homeowners, which is within the range of estimates reported in previous literature. Practical implications This study shows that the housing wealth effect enjoyed in the private sector does not necessarily apply to the subsidized sector where resale and refinancing constraints exist. This is not to suggest that the constraints be removed. Rather, policymakers should be aware of the tradeoff: while the constraints ensure that government subsidies are used to assist home ownership, not capital gain, they also bring about consumption inequality in a society, especially in a booming housing market. Originality/value Our findings extend the literature on the housing wealth effect, which has been exclusively focusing on private homeowners, to subsidized homeowners. This study also adds to the literature on housing welfare by highlighting that the resale constraints of subsidized housing can weaken the housing wealth effect.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-07-10T08:02:49Z
      DOI: 10.1108/IJHMA-07-2017-0067
       
  • Testing for bubbles in housing markets: some evidence for Brazil
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose Housing prices in Brazil have displayed an impressive growth in recent years, raising some concerns about the existence of a bubble in housing markets. In this paper, the authors implement an empirical methodology to identify whether or not there is a bubble in housing markets in Brazil. Design/methodology/approach Based on a theoretical model that establish that, in the absence of a bubble, a long-run equilibrium relationship should be observed between the market price of an asset and its dividends. The authors implement two methodologies. First, the authors assess whether there is a cointegration relationship between housing prices and housing rental prices. Second, the authors test whether the price-to-rent ratio is stationary. Findings The authors’ results show that there is evidence of a bubble in housing prices in Brazil. However, given the short span of the data, the authors perform a Monte Carlo simulation and show that the cointegration tests may be biased in small samples. Therefore, the authors should be caution when assessing the results. Research limitations/implications The results obtained from the cointegration analysis can be biased for small samples. Practical implications The information on the excessive increase of the prices of the properties in relation to their fundamental value can help in the decision-making on investment of the economic agents. Social implications These results corroborate the hypothesis that Brazil has an excessive appreciation in housing prices, and, as Silva and Besarria (2018) have suggested, this behavior explains, in part, the fact that the central bank has taken this issue into account when deciding about the stance of monetary policy of Brazil. Originality/value The originality is linked to the use of the Gregory-Hansen method of cointegration in the identification of bubbles and discussion of the limitations of the research through Monte Carlo simulation.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-06-15T09:37:14Z
      DOI: 10.1108/IJHMA-08-2017-0075
       
  • The dynamics of housing affordability and housing demand analysis in
           Ankara
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose Information about the current and future composition of the population in terms of household size and the desired housing preferences provides a good foundation for determining current and future housing needs. The policy-makers and developers can also use such knowledge as a starting point in their housing and commercial real estate investment decisions. In Turkey, urbanization and housing issues have accompanied the growth of industrialization. Within the scope of the country’s urbanization history, various instruments have been used to solve the lack of housing issues. The constructed houses should be accessible or affordable by fixed-income earners in the middle and lower socio-economic classes, who are mostly excluded. In particular, the real estate development sector has taken manageable risks by closely following the changing social and economic conditions and developing a variety of housing concepts. The purpose of this paper is to investigate the housing sector situation and affordability issues and then use time series analysis to present relationships between macroeconomic factors and housing demand in Ankara region. Design/methodology/approach The approach uses a survey of recent housing projects cover 2016 to 2018 for housing affordability conditions. Also, the study uses the Johansen co-integration test, variance analysis and impulse-response test to explain the relationships between macroeconomic indicators and housing demand for Ankara. Findings According to the results of time series analysis, the macroeconomic factors are affecting the demand and the number of houses sold. The research results try to find a negative or positive correlation between the numbers of houses sold and the monthly macroeconomic variables. Mortgage interest rates, usage permits, construction permits and household expenditure were found the most correlated with housing sold as a representative proxy of housing demand. This paper claims that current housing affordability is related to current housing supply and demand variables. If housing supply (as construction and usage permits) and income (as interest rates and expenditures) are at favorable levels, then housing transaction volumes increase. Research limitations/implications This paper highlights the need to examine how to assist developers to more rapidly develop knowledge and experience to reflect the implications of change in practice. This paper is formulating a housing demand model for real estate developers, using number of house sales and other administrative statistics in Ankara region. Practical implications If macroeconomic conditions are stable, then this encourages consumers to invest for housing whether they are affordable or not. According to the results, key factors of housing market are based on interest rates, income expectation and gaining social status. The consumers anymore not only want to buy a house to live and also want to gaining prestige. Originality/value The paper not only shows that current price is affordable or not but also supports why price is going up although price is not affordable. The findings identify how the market is developing and adhering to a product model development theory. The paper is different from previous studies because of the use of monthly income and supply proxies together in Turkey with time series model. These results are close to the theoretical expectations and provide good indicators for policy-makers.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-06-07T11:08:54Z
      DOI: 10.1108/IJHMA-08-2017-0079
       
  • Determinants of mortgage price affordability: a study of Ghana
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose While mortgage markets have gradually emerged in many African countries, substantial barriers still hinder their growth and expansion. Affordability has been widely cited as a prominent issue that doggedly remains at the core of urban housing problems. Hence, this paper aims to investigate the determinants of mortgage price affordability. Design/methodology/approach Data were gathered using semi-structured questionnaires obtained from a sample drawn from three major West African mortgage financing institutions. Respondents rated the variables using a five-point Likert item rating. The survey results were analysed using exploratory factor analysis. Findings In total, 11 variables that influence mortgage affordability were categorised within five principal components, namely, economic factors, financial factors, property characteristics, developmental factors and geographical factors. Practical implications The results provide insightful guidance to policymakers and practitioners on how to mitigate affordability issues within Ghana’s fledgling mortgage market. Failure to address the mortgage price affordability conundrum will place enormous pressure upon social housing and rental accommodation. Originality/value The research findings expand existing frontiers of knowledge by investigating and reporting upon the determinants of mortgage price affordability. The work also engenders wider debate on the need to establish mortgage packages targeted at low-to-middle-income earners. The culmination of analysis and debate will provide a robust basis for developing a future housing policy framework.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-06-07T10:36:52Z
      DOI: 10.1108/IJHMA-11-2017-0094
       
  • Landscape view, height preferences and apartment prices: evidence from
           major urban areas in Indonesia
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose Landscape view is a crucial factor in house-buying decisions. Landscape views provide an amenity to residents, and this can influence the house or apartment owners in their residence decisions. Yet, the relative value of different types of view potentially differs. Additionally, the value of each type of view may differ depending on an apartment’s elevation above the ground level. In this study, the authors aim to estimate the value of landscape views on apartment prices in major urban areas in Indonesia. Design/methodology/approach This paper evaluates to what extent various landscape views including mountain, sea, river, lake, street, urban village, garden and sports center views affect apartment prices in major urban areas in Indonesia. Two hedonic regression approaches are used: ordinary least squares and semiparametric regression. The latter is used to accommodate a possible non-linearity in the relationship between price and apartment characteristics. The model also incorporates housing and locational characteristics as control variables. Findings Using online apartment market data, the estimates in this paper show some degree of heterogeneity in the value of various views to the extent of providing negative externalities. Mountain, street and sports center views are associated with higher apartment prices. Sea, lake and garden views are statistically insignificant in explaining the prices. In contrast, the unappealing nature of the rivers and their surrounding creates a negative impact on prices. The estimates also suggest that an apartment’s floor height plays a significant role in the valuation of views. Originality/value There is little research on landscape view effects on apartment prices, especially in Indonesia. In addition, the relationship between the value of views and height preferences has seldom been analyzed. This paper provides the valuation of an extensive list of landscape views in urban areas in Indonesia. The estimation results also suggest that the value of views may differ depending on the floor on which an apartment lies.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-06-07T08:33:57Z
      DOI: 10.1108/IJHMA-09-2017-0082
       
  • Toward a history of housing market analysis
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose This paper aims to relate early history of housing conceptualizations and market analysis in the Anglosphere (Britain, the USA, Canada, Australia and New Zealand). Historians are ignorant of them but clear market analyses had early beginnings in every urban society for developing and accommodating growing populations. Design/methodology/approach Historiography. Findings Aspects of market analysis, especially appraisal and rudimentary approaches to the housing market in the Anglosphere, can be traced back to ancient Rome, housing market conceptualizations to Dr Nicholas Barbon and seventeenth-century London’s first population and housing boom and market analysis techniques in the USA at its founding, when Charles-Maurice de Talleyrand Perigor was the first to refine them and write them up in 1794-1796. The US next made major advances in the 1930s. The overall trend has been from inferred analyses to fundamental (derived) analyses, emphasizing “quantifiable data.” Practical implications This paper elicits researcher’s professional awareness that each nation has an implicit history of its early development practices and techniques. Originality/value The time frame of most housing market analysts is the recent past, the present and the future. But how enduring are their concerns' Do operational values in a housing market reflect historical epochs, or are there some universalities' Furthermore, most urban historians are ignorant of urban market dynamics. It does not occur to them that some of the dynamics that analysts attempt to capture today might always have been inherent in the urban built environment, regardless of era or urbanized part of the globe under consideration.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-29T08:01:27Z
      DOI: 10.1108/IJHMA-09-2017-0080
       
  • Barriers to accessing mortgages in Nigeria’s housing markets
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose The purpose of this study is to investigate barriers to accessing mortgages in Nigeria’s urban housing markets with the main focus on Kaduna State. The objective was to establish the diverse factors that constitute barriers to urban households’ access to mortgages for homeownership from the perceptions of households, mortgage lenders and the Federal Mortgage Bank of Nigeria. Design/methodology/approach The study used cross-sectional survey with triangulation of results. To enable the triangulation, three new samples were developed from 450 surveys with households and 10 completed by lenders, both in Kaduna State and one survey undertaken by the Federal Mortgage Bank of Nigeria. Data were collected with questionnaires designed on five-point Likert model. Data analysis utilized descriptive statistics and one-sample t-test. Triangulation enabled cross-validation of the results. Findings The barriers include low incomes and savings which constrain households’ ability to pay mortgage instalments and deposits, respectively, high interest rates, poor access to land, inability of potential borrowers to provide certificates of occupancy on their land, inadequate loanable funds and inadequate number of mortgage lending institutions. Practical implications The study has the potential to provide a basis for mortgage market reforms. Mortgage market reforms should be encompassing because it requires action in some other sectors. Social implications The social implication of the study is the possibility of motivating actions to deal with the diverse barriers to accessing mortgages which have constituted deterrents to households from realizing their homeownership aspirations and enjoying the benefits of homeownership and consequently contributing to inadequate housing and poor living conditions. Originality/value The study provides distinctive insight into Nigeria’s mortgage market by integrating the views of various stakeholders on a subject of social and economic significance. It contributes to the evidence-base around mortgage market reforms in Nigeria.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-29T07:55:20Z
      DOI: 10.1108/IJHMA-10-2017-0089
       
  • Factors influencing home-purchase decision of buyers of different types of
           apartments in India
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose The purpose of this paper is to present partial results of a survey conducted in Pune, India. Its aim is to determine the importance of factors, other than the buyer-related factors, that influence the purchase of a flat/apartment, of buyers of different types of flats/apartments. Design/methodology/approach The author follows three hypotheses for recent buyers of three different types of flats/apartments, namely, 1 BHK, 2 BHK and 3 BHK (where 1, 2 and 3 indicate the number of bedrooms, H stands for hall and K stands for kitchen. Thus 1 BHK designates a flat/apartment with one bedroom, a hall and a kitchen). A total of 284 respondents from buildings located on the outskirts of Pune city participated in the questionnaire survey for this study. Ten factors have been considered. Findings From this study, it is concluded that price is significantly the most important factor for buyers of 1 BHK, followed by product, and then followed by location. For 2 BHK buyers, there is no single significantly most important factor. For 3 BHK buyers, there is no single significantly most important factor and the two most important factors are product and location. Research limitations/implications The results of this study show that buyers of different types of flats/apartments give different types of importance to the influencing factors. This study of buyer behavior will be helpful for the marketers of real estate companies, as they can identify the most important factors for various categories of buyers and implement those accordingly. Originality/value This study is the first to analyze the importance of the influencing factors for buyers of different types of flats/apartments. Also, it is the first to analyze the home-buying behavior for flats/apartments constructed in the outskirts, where most of the new constructions are taking place. This study will be useful to all the stakeholders of the housing industry.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-29T07:50:28Z
      DOI: 10.1108/IJHMA-06-2017-0062
       
  • Homeless shelters in urban India: life sans dignity
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose Government of India has been addressing the issue of homelessness through shelters in urban areas, mandated with provision of basic amenities including drinking water and washrooms. This research paper aims to investigate into the condition of such homeless shelters in terms of importance of and satisfaction from mandatory amenities therein as perceived by users, i.e. urban homeless poor. Design/methodology/approach Data from a survey spanning a sample of 401 shelter inmates have been used to construct a service quality performance matrix (SQPM) to analyse the importance of amenities and satisfaction of shelter inmates out of these amenities. A priority order of these amenities for improvement has been drawn thereafter with a customer satisfaction index (CSI). Findings The results of SQPM show ten items registering high importance-low satisfaction. Amenities such as utensils for cooking and psycho-social counselling are important but not available. Priority-wise amenities that need to be improved are: psycho-social counselling, facility of referral and transport, utensils for cooking, childcare facilities, waste management, adequate fire safety measures, recreation space, pest and mosquito control, first aid and kitchen/cooking space and equipment needed for cooking. Practical implications A total of 10 amenities have been ranked in order of priority, for which, the government needs to define its improvement action plans for delivering maximum satisfaction to inmates of shelters out of their stay. Originality/value The findings reveal that urban homeless staying in shelters are being deprived of many of the amenities earmarked as mandatory. Existing studies on shelters in India are usually descriptive, providing a summary of available amenities therein. This study is the first to contribute to literature on housing by applying SQPM and CSI on amenities available at homeless shelters.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-25T12:09:02Z
      DOI: 10.1108/IJHMA-06-2017-0057
       
  • Park proximity, crime and apartment prices
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose There is a lack of understanding in the literature on the relation between parks and house price in relation to crime in Scandinavian context. This paper aims to investigate the effect of the amenity value of accessibility to parks on apartment prices with reference to crime rates in parks in Stockholm. Design/methodology/approach This paper analyses the effects of park proximity and crime in parks on apartment prices by using geographic information systems and hedonic modelling. Findings Findings show that the proximity of parks as an environmental amenity has an effect on apartment prices. The results also demonstrate that the impact of parks on apartment prices is different in the different segments of the apartment market in Stockholm. Moreover, various types of parks may differ in their impact, for instance, grass parks and park blocks are more desirable in Stockholm than landscape parks and neighbourhood parks. The effects of crimes in parks influence apartment prices negatively. Originality/value This paper provides a new methodology by using the shortest distance to a park as a main variable. The shortest distance to a park variable is considered a better choice than using park as an aggregate measure. To the best of the author’s knowledge, this is the first study that investigates the effect of specific park types, for instance, grass parks, neighbourhood parks, landscape parks and park blocks, in Stockholm housing market.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-25T12:07:42Z
      DOI: 10.1108/IJHMA-04-2017-0035
       
  • Measuring behavioural biases affecting real estate investment decisions in
           India: using IRT
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose This study aims to investigate the behavioural biases influencing the real estate market investing decisions of normal non-professional investors in India. Design/methodology/approach As the study involves the behavioural data with polytomous response format, psychometric test- graded response model (IRT approach) was used for the study with the help of STATA 14. Multi-stage stratified sampling was used to collect a sample of 560 respondents. The study used a 14-item scale representing behavioural biases derived from two broad behavioural theories, i.e. heuristics and prospect theories. Sample characteristics were checked using SPSS 20. Pre-required assumptions for IRT (i.e. local independence and unidimensionality) were tested by CFA using AMOS 20. Findings Five items, four of which belong to heuristics (anchoring – 2, representativeness – 1 and availability bias – 1) and one belong to prospect theory (regret aversion) are sufficient to measure the behavioural attitude of real estate investors in the Indian scenario. Item discrimination ai ranged from 0.95 to 1.52 (average value 1.29), showing moderate discrimination power of the items. The items have done a pretty good job of assessing the lower level of agreement. For the higher level of agreement, the scale came out to be less precise, with less information and higher standard error of measurement. Research limitations/implications As the behavioural biases are often false, the study suggests the investors not to repeat these nasty biases to improve investment strategies. As they are shared and not easily changeable, understanding these biases may also help them in beating the market by acting as “noise traders”. Practical implications The traditional price index is incomplete in some essential respects. The inclusion of these behavioural biases into the construction of price index will greatly improve the traditional price index, policymakers should seriously think about it. Social implications Shelter is one of the basic needs; a dwelling unit is needed for one to stay in, develop and contribute to economy and society. If investors try to minimise these biases and policymakers keep a track of these while making strategies, mispricing in this sector can be controlled to some extent, which will ultimately help in the well-being of society. Originality/value This study contributes to the limited research by investigating the behavioural biases influencing the real estate market investment decisions of normal non-professional investors. It contributes to the lacking academe on real estate market in India. The study has used a psychometric test, i.e. the item response theory, for evaluating the quality of the items.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-22T05:19:59Z
      DOI: 10.1108/IJHMA-12-2017-0103
       
  • Assessing the determinants of retirement home ownership among Malaysian
           young-old seniors
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose Many of the existing senior living accommodation options in Malaysia are ill-suited to the needs and requirements of seniors as they age further. To establish best practice guidance to meet the housing needs for seniors, the purpose of this paper is to examine the effect of neighbourhood quality, locational and structural attributes on the likelihood of owning a retirement home among the young-old aged 60 to 74 years in Malaysia. Design/methodology/approach In this paper, 300 young-old retirees from Greater Kuala Lumpur, Malaysia were interviewed using purposive sampling. Only 240 were used for the analysis. Findings The results revealed that respondents are likely to own the retirement home which could support their overall health and well-being within a safe and supportive senior-friendly neighbourhood. Furthermore, respondents are willing to reside in the retirement home that is served with good access to amenities. Research limitations/implications The likelihood of young-old seniors adjusting their housing disequilibrium situation is higher as long as the right housing attributes are incorporated into the retirement home. Practical implications The results of this paper would be very pertinent for the development of the physical planning guidelines on settlements and facilities for the elderly in Malaysia. Originality/value With the change in cultural values, the increasing life expectancy in senior adult population and improved household income in Malaysia, there is great potential for purpose-built senior housing projects for seniors who need help with activities of daily living, but desire to live as independently as possible.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-15T11:12:33Z
      DOI: 10.1108/IJHMA-08-2017-0072
       
  • Housing demand in Indian metros: a hedonic approach
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose This paper aims to understand housing demand of urban Indian households in terms of housing and household-level characteristics. Because a house is a bundle of certain characteristics which vary across houses, each characteristic has an implicit price. Finding this implicit price for certain important characteristics is the first objective of this study. The second objective of the paper is to compute the income elasticity and price elasticity of housing demand for these cities. Design/methodology/approach To achieve comparable estimates, household-level data from India’s National Sample Survey Organisation housing surveys for the years 2002 and 2008-2009 have been used. A hedonic price function is estimated using ordinary least squares (OLS) and Box-Cox functional forms to estimate the implicit prices of housing characteristics. This exercise is attempted for owned and rented houses separately. Demand function required for computing the elasticities, uses the hedonic price index derived from the implicit prices and household characteristics. Findings The study finds housing demand to be income elastic and price inelastic for the six cities across both the time periods. Originality/value Firstly, this study includes housing characteristics such as individual access to drinking water, modern sanitation facility, separate kitchen, condition of the structure, existence of a road with street light and whether the house is in a slum or non-slum area in the hedonic price function. These variables were not used in any of the earlier studies pertaining to India. Secondly, it uses the Box-Cox non-linear form to derive the hedonic price function, a specification not used earlier. Thirdly, this is the first study analysing housing demand across the six largest Indian cities.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-05-09T01:17:42Z
      DOI: 10.1108/IJHMA-04-2017-0041
       
  • Is the Australian housing market in a bubble'
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose This paper aims to explore principal drivers affecting prices in the Australian housing market, aiming to detect the presence of housing bubbles within it. The data set analyzed covers the past two decades, thereby including the period of the most recent housing boom between 2012 and 2015. Design/methodology/approach The paper describes the application of combined enhanced rigorous econometric frameworks, such as ordinary least square (OLS), Granger causality and the Vector Error Correction Model (VECM) framework, to provide an in-depth understanding of house price dynamics and bubbles in Australia. Findings The empirical results presented reveal that Australian house prices are driven primarily by four key factors: mortgage interest rates, consumer sentiment, the Australian S&P/ASX 200 stock market index and unemployment rates. It finds that these four key drivers have long-term equilibrium in relation to house prices, and any short-term disequilibrium always self-corrects over the long term because of economic forces. The existence of long-term equilibrium in the housing market suggests it is unlikely to be in a bubble (Diba and Grossman, 1988; Flood and Hodrick, 1986). Originality/value The foremost contribution of this paper is that it is the first rigorous study of housing bubbles in Australia at the national level. Additionally, the data set renders the study of particular interest because it incorporates an analysis of the most recent housing boom (2012-2015). The policy implications from the study arise from the discussion of how best to balance monetary policy, fiscal policy and macroeconomic policy to optimize the steady and stable growth of the Australian housing market, and from its reconsideration of affordability schemes and related policies designed to incentivize construction and the involvement of complementary industries associated with property.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-04-12T08:17:24Z
      DOI: 10.1108/IJHMA-03-2017-0026
       
  • Effects of ethnic changes on house prices: Sydney cases
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose This paper aims to investigate the factors that contribute to the changes of house prices including ethnic factors. Australia is a multicultural country with diversified ethnicities. The median price of established houses (unstratified) in Sydney has reached a new record high of $910,000 in December 2015, increasing around 58.2 per cent from March 2011 [Australian Bureau of Statistics (ABS), 2015a]. However, the prices of some suburbs have increased more than prices of others. Design/methodology/approach Six suburbs that represent ethnic majority originally including White, India and China will be selected as pilot studies. Hedonic regression analysis will be applied for the analysis based on 2001, 2006 and 2011 census data. Findings It is found that the main drivers of house prices are the dwelling physical characteristics and accessibility to convenient transportation. The level of household income also plays an important role. However, the impact of changes of ethnic on changes of prices is not significant. Research limitations/implications The study adds to the growing literature on the ethnicity changes on dwelling prices and is important for understanding whether some of the clusters of ethnic concentration or segregation effects property markets. This study is significant in its understanding of the main characteristics of ethnic changes of suburbs in Sydney. Practical implications An implication is that policy makers can attract different ethnic groups and encourage multicultural communities when they formulate housing and planning policies. Originality/value The relationship between ethnicity and house price appreciation is not extensively studied in Australia. This research contributes to the literature on the effects of ethnic changes on house prices and implications of policy formulation to encourage multicultural communities.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-02-14T10:45:09Z
      DOI: 10.1108/IJHMA-12-2016-0083
       
  • Credit constraints and the delay of homeownership by young households in
           Japan
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose Japan has been suffering from a decline in the rate of young adults homeownership for a long time. The reduction of the homeownership rate for young adults suggests a delay of tenure transition from renting to owning a home. Such delays further imply that there is insufficient wealth accumulation and a low level of welfare. This paper examines these influences of the credit rationing and the credit rationing impact on the reduction in the young adults’ homeownership rate. Design/methodology/approach Credit rationing impacts the timing of house purchases and the value of the houses at the same time. This paper estimates these impacts jointly using a simultaneous equation system (minimum distance estimation) and the micro data on Japan. Findings This paper divides the effect of credit rationing on the timing into direct and indirect effects. The former is the rationing effect on timing, keeping the other variables constant, while the latter is the effect via changes in house values. This paper finds that the indirect effect reduces the rationing effect on the timing by decreasing house values. Furthermore, the results show that credit rationing delays home acquisition by prospective young owners (direct effect) and necessarily lowers the quality of houses they purchase. Originality/value In the previous papers, the endogeneity among the variables related to the housing purchase was not addressed. To separate the endogeneity of the timing from the house value, this paper applies the simultaneous equation model. Furthermore, this paper exhibits that there are direct and indirect effects of credit rationing on the timing of housing purchase made by young households. None of the previous papers recognize these two effects.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-02-12T09:57:51Z
      DOI: 10.1108/IJHMA-02-2017-0020
       
  • An unobserved component analysis of Malaysia’s house prices
    • Abstract: International Journal of Housing Markets and Analysis, Ahead of Print.
      Purpose This paper aims to investigate Malaysia’s house prices behaviour by decomposing trend, cycle and stochastic component. Design/methodology/approach The authors perform an unobserved component model of a structural time series and Markov switching model that covers the period 1999Q1 to 2015Q4. Findings The results reveal that the variation in house price in Malaysia is best explained by its trend level, with a small role played by the cycle component; this implies the potential for gaining returns on investments in property by investors and households. The results also show that Malaysia’s HPI cycle is between 8 and 17 years which, in relative terms, is twice the length of the growth cycle and the business cycle in the economy. Meanwhile, the overall movement of HPI is forecast to have a marginal price increase up to 2028Q2. Originality/value As house prices remained elevated during the year, the house price dynamic is pivotal for understanding the source of changes in house price. With major findings centred on the relationship between house prices and macroeconomic as well as policy variables, little attention has been paid to composing the trend, cycle and seasonal pattern from the house price index, thus understanding the behaviour of house prices’ unobserved components.
      Citation: International Journal of Housing Markets and Analysis
      PubDate: 2018-02-01T02:57:45Z
      DOI: 10.1108/IJHMA-03-2017-0024
       
 
 
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