International Journal of Strategic Property Management最新文献

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BIBLIOMETRIC REVIEW OF RESEARCH ON GREEN BUILDING ASSESSMENT METHOD BY CITESPACE AND HISTCITE citespace 和 histcite 对绿色建筑评估方法研究的文献计量学审查
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-05-23 DOI: 10.3846/ijspm.2024.21455
Yuanyuan Li, Ying Wang, Rui Wang, Chunlu Liu, Zhigang Zhang
{"title":"BIBLIOMETRIC REVIEW OF RESEARCH ON GREEN BUILDING ASSESSMENT METHOD BY CITESPACE AND HISTCITE","authors":"Yuanyuan Li, Ying Wang, Rui Wang, Chunlu Liu, Zhigang Zhang","doi":"10.3846/ijspm.2024.21455","DOIUrl":"https://doi.org/10.3846/ijspm.2024.21455","url":null,"abstract":"Numerous qualitative review studies have been conducted to enhance the understanding of current research status of green buildings (GBs). Green building assessment methods (GBAMs) are crucial to the development of GBs and relevant research works has received wide attention. However, there are very few reviews to quantitively explore these studies. Therefore, this paper aims to systematically review literatures on GBAMs, and visually analyzes them through CiteSpace and HistCite. The article identified the most influential journals, contributors, representative institutions and regions. The knowledge bases of this area focus on “triple bottom line”, “indicator”, “building design”, “life cycle costing”, “life cycle sustainability assessment”, “tropical climate”, “building information modelling” and “Chinese green building label”. Through citation analysis, “updating existing GBAMs by scheme comparison”, “updating existing GBAMs by GB case analysis”, “establishment of new GBAMs” and “incorporation of BIM in GBAMs” were found as the main research themes. “Design”, “LCA”, “model”, “energy”, “management”, “residential buildings” and “office buildings” are high-frequency keywords. Future research directions were finally proposed as “more investigation on the other types of GBs”, “incorporation of cost-related criteria”, “enhancing health-related indicators” and“integrating with BIM technology”. The results could provide a useful reference to industry practitioners and scholars interested in GBAMs.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141104108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
THE IMPACT OF THE DIGITAL ECONOMY ON URBAN HOUSE PRICES: COMPREHENSIVE EXPLORATIONS 数字经济对城市房价的影响:全面探索
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-05-21 DOI: 10.3846/ijspm.2024.21474
Shufeng Cong, Lee Chin, Mohamad Khair Afham Muhamad Senan, Yuhong Song
{"title":"THE IMPACT OF THE DIGITAL ECONOMY ON URBAN HOUSE PRICES: COMPREHENSIVE EXPLORATIONS","authors":"Shufeng Cong, Lee Chin, Mohamad Khair Afham Muhamad Senan, Yuhong Song","doi":"10.3846/ijspm.2024.21474","DOIUrl":"https://doi.org/10.3846/ijspm.2024.21474","url":null,"abstract":"Internet technology and data-driven innovations are changing the way people live and work, which could have an impact on real estate supply and demand. Therefore, this study focuses on the relationship between urban digital economy growth and urban house prices. First, the empirical model shows that the digital economy has an inverted U-shaped impact on urban housing prices. The mechanisms underlying this relationship were then examined. The results indicated that fixed asset investment, government expenditure, and the urban environment influence the relationship between digital economy growth and urban house prices. Finally, a heterogeneity analysis revealed that the digital economy does not affect house prices in Tier 1, New Tier 1, and Tier 2 Chinese cities, but increases house prices in Tier 3 cities. In Tier 4 and Tier 5 cities, this relationship was found to be inverted U-shaped. These findings offer valuable insights to policymakers in China in balancing the growth of the digital economy and the stability of house prices.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141115806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ALLEVIATING SURVEYOR BIAS IN REAL ESTATE: AN APPLICATION TO VACANCY AND PROPERTY PRICES 减轻房地产测量师的偏见:对空置率和房地产价格的应用
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-04-04 DOI: 10.3846/ijspm.2024.21214
Changro Lee
{"title":"ALLEVIATING SURVEYOR BIAS IN REAL ESTATE: AN APPLICATION TO VACANCY AND PROPERTY PRICES","authors":"Changro Lee","doi":"10.3846/ijspm.2024.21214","DOIUrl":"https://doi.org/10.3846/ijspm.2024.21214","url":null,"abstract":"Although vacancies in the real estate market have always been of key interest to both private and public stakeholders, measuring the impact of vacancy rates on property prices is challenging. This study attempts to quantify the extent of the influence of vacancy rates on the price decline of commercial properties. The dataset used in this study was collected and collated by valuation experts. We attempt to alleviate the bias inherent in the price estimates provided by the surveyors. A Bayesian multilevel estimation model was employed, and the results revealed that while some experts do not show deviations from the standard tendency of a peer group, others do diverge from this norm. Based on these findings, a bias-controlling price decline rate was derived. As many real estate statistics are produced based on survey data compiled by experts, the approach adopted in this study is expected to be applied to various real estate practices to mitigate the inherent and inevitable surveyor bias.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140743972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CAPITALIZATION EFFECTS OF RIVERS IN URBAN HOUSING SUBMARKETS – A CASE STUDY OF THE YANGTZE RIVER 城市住房次级市场中河流的资本化效应--长江案例研究
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-04-04 DOI: 10.3846/ijspm.2024.21184
Xiaoling Ke, Chang Yang, Moujun Zheng, Mougharbel Amal, Yanshan Zeng
{"title":"CAPITALIZATION EFFECTS OF RIVERS IN URBAN HOUSING SUBMARKETS – A CASE STUDY OF THE YANGTZE RIVER","authors":"Xiaoling Ke, Chang Yang, Moujun Zheng, Mougharbel Amal, Yanshan Zeng","doi":"10.3846/ijspm.2024.21184","DOIUrl":"https://doi.org/10.3846/ijspm.2024.21184","url":null,"abstract":"The study aims to investigate the heterogeneity of the Yangtze River’s impact on housing prices, using the data of 12,325 residential transactions within 8 kilometers of the Yangtze River in Wuhan, based on submarkets divided according to geographical location and buyer groups. The kernel density plots reveal that properties near the Yangtze River have the highest price and the lowest density, while properties further away from the river exhibit the opposite trend. Then the Spatial Generalized Additive Model and the Spatial Quantile Generalized Additive Model show the following results, respectively: (1) The Yangtze River has an influence range of roughly 5 kilometers on adjacent dwellings, with an average impact of 0.035%. However, within the chosen geographical interval, the impact rises from 1.582% to 2.072%. (2) The Yangtze River has the greatest impact on middle-priced houses, followed by high-priced houses, and the least impact on low-priced houses. (3) The Spatial Generalized Additive Model and the Spatial Quantile Generalized Additive Model have been proven to be effective at capturing spatial and temporal impacts on data. In conclusion, this article advises that the government should pay more attention to non-central locations with limited natural resources.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
BUSINESS MODEL TRANSFORMATION OF REITS IN THE SENIOR HOUSING SECTOR 养老地产领域的再投资业务模式转型
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-03-27 DOI: 10.3846/ijspm.2024.21095
Jii Yoo, Jae Sik Jeon
{"title":"BUSINESS MODEL TRANSFORMATION OF REITS IN THE SENIOR HOUSING SECTOR","authors":"Jii Yoo, Jae Sik Jeon","doi":"10.3846/ijspm.2024.21095","DOIUrl":"https://doi.org/10.3846/ijspm.2024.21095","url":null,"abstract":"This study examines the transformative impact of the REIT Investment Diversification and Empowerment Act (RIDEA) of 2007 on Real Estate Investment Trusts (REITs) and their partnerships with operating entities in the U.S. senior housing industry. We explore how REITs, functioning as both asset owners and managers, adapt their business strategies in response to the evolving business landscape. Employing a case study approach rooted in Zott and Amit’s (2010) conceptualization of business models, the study identifies and analyzes notable shifts in market participants’ recognition of value-enhancing approaches, encompassing not only traditional rental income but also the operational performance of property managers. The findings reveal an expanded risk and profit-sharing mechanism propelled by the newly implemented business framework based on RIDEA, fostering enhanced alignment of interests between REITs and operators compared to the traditional business framework. While this effect under the new model holds the potential for significant enhancements in operational efficiency for asset managers, it concurrently introduces complexities arising from heightened financial and market risks, as well as challenges related to workforce management. Our findings offer valuable insights to industry experts, including REITs, operators, investors, and policymakers, enriching their comprehension of the evolving business models within the senior housing sector.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140374525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
HOUSE PRICE VOLATILITY IN CHINA: A PERVASIVE PATTERN WITH GEOGRAPHIC DISPARITY 中国的房价波动:具有地域差异的普遍模式
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-03-21 DOI: 10.3846/ijspm.2024.21096
Xiaomeng Liu, Ziliang Yu, Yang Li
{"title":"HOUSE PRICE VOLATILITY IN CHINA: A PERVASIVE PATTERN WITH GEOGRAPHIC DISPARITY","authors":"Xiaomeng Liu, Ziliang Yu, Yang Li","doi":"10.3846/ijspm.2024.21096","DOIUrl":"https://doi.org/10.3846/ijspm.2024.21096","url":null,"abstract":"The booming real estate sector has been regarded as the “gray rhino” risk emerging in China over the past decade. Yet, the house price volatility per se has not been thoroughly examined. Filling the gap in the literature, this paper explores the house price volatility and its determinants for 70 large and medium-sized cities in China, using an extensive monthly data set from 2005 to 2019. We find evidence of significant geographical disparities in both the GARCH effects and the best-fitted volatility specification. Significant GARCH effects are found in 57 cities, among which 40% of cities show a persistent volatility pattern. We also find that both the house price volatility pattern and the associated volatility value are affected significantly by education and healthcare amenities.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140222619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
INCENTIVE MECHANISM OF GOVERNMENT OVERCOMMITMENT IN PPPS BASED ON INVESTORS’ FAIRNESS PREFERENCE 基于投资者公平偏好的 PPP 项目中政府过度承诺的激励机制公平偏好
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-03-12 DOI: 10.3846/ijspm.2024.21028
Qi Luo, Jicai Liu
{"title":"INCENTIVE MECHANISM OF GOVERNMENT OVERCOMMITMENT IN PPPS BASED ON INVESTORS’ FAIRNESS PREFERENCE","authors":"Qi Luo, Jicai Liu","doi":"10.3846/ijspm.2024.21028","DOIUrl":"https://doi.org/10.3846/ijspm.2024.21028","url":null,"abstract":"In public-private partnerships (PPPs), governments sometimes may not afford the guarantees in full as initially agreed upon due to limited fiscal budgets. Accordingly, government overcommitment can occur. The degree of government overcommitment fulfillment affects not only the incentives provided by governments but also investors’ willingness to cooperate and efforts. However, until now, this government overcommitment risk has been ignored during negotiations. Moreover, little attention has been paid to the impact of investors’ fairness preference. To this end, this paper constructs an incentive mechanism of government overcommitment based on investors’ fairness preference in the horizontal and vertical dimensions. The results show that the optimal strategies of both sides are usually affected by the degree of government overcommitment fulfillment, investors’ fairness preference and their willingness to cooperate. Contrary to intuition, the optimal incentive of governments and investors’ efforts do not always increase with the decreasing degree of government overcommitment fulfillment, and thus, fairness preferences should be considered. It is not always the case that a higher-level government overcommitment fulfillment is better for themselves. The findings contribute new insights to the incentive mechanism to innovatively work toward creating an effective contract to pay more attention to government overcommitment risk in advance in PPPs.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140248920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DO CHINESE GOVERNMENT POLICIES AFFECT PERFORMANCE OF REAL ESTATE ENTERPRISES? 中国政府的政策会影响房地产企业的业绩吗?
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-02-27 DOI: 10.3846/ijspm.2024.20944
Lihua Zhang, Yueji Xin, Rui Han, Xili Zhang, Ning Hao, Lele Li, Juanfeng Zhang
{"title":"DO CHINESE GOVERNMENT POLICIES AFFECT PERFORMANCE OF REAL ESTATE ENTERPRISES?","authors":"Lihua Zhang, Yueji Xin, Rui Han, Xili Zhang, Ning Hao, Lele Li, Juanfeng Zhang","doi":"10.3846/ijspm.2024.20944","DOIUrl":"https://doi.org/10.3846/ijspm.2024.20944","url":null,"abstract":"The Chinese central government has instituted a series of macro-economic tightening and easing policy measures on the real estate industry to stabilize the housing market in recent decades. However, our understanding of these policies and their impact on real estate firms is limited. This paper constructs an index of government policies on the real estate industry by collecting national housing policies in China from 2007 to 2019. We use this index to quantify the impact of government policies on real estate enterprises’ performance, based on data from 103 real estate enterprises listed on the Chinese A-share market. Two important conclusions are drawn from the panel data regression. First, tightened real estate policies significantly lower real estate enterprises’ profitability (ROA and ROE), while increase their liquidity risk. Second, the heterogeneity analysis shows that the tightened real estate policies yield downward impact more mildly on state-owned real estate enterprises than non-state-owned enterprises.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140426808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
THE EFFECTS OF TRANSACTION HOTSPOTS AND FLIPPING HOTSPOTS ON HOUSING PRICES 交易热点和炒房热点对房价的影响
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2024-02-26 DOI: 10.3846/ijspm.2024.20899
Bor-Ming Hsieh, Chih-Yuan Yang
{"title":"THE EFFECTS OF TRANSACTION HOTSPOTS AND FLIPPING HOTSPOTS ON HOUSING PRICES","authors":"Bor-Ming Hsieh, Chih-Yuan Yang","doi":"10.3846/ijspm.2024.20899","DOIUrl":"https://doi.org/10.3846/ijspm.2024.20899","url":null,"abstract":"In contrast to much of the literature that focuses on the issue of spatial dependence in housing price research, this study addresses the spatial aggregation of housing transactions and analyzes the effects of transaction hotspots and short-term flipping hotspots on housing prices by using real housing transaction data in Taipei City, Taiwan. The empirical results show that after controlling for the effects of spatial dependence and individual housing attributes, the impact of transaction hotspot areas on housing prices is significantly negative, while the impact of flipping hotspot areas on housing prices is significantly positive. The results verify that the key to driving up housing prices lies in flipping activities. Furthermore, the results of the spatial quantile regression model show that low-priced residential properties are more sensitive to the spatial concentration of housing transactions and flipping transactions in the housing market. Our results have implications for the government’s policy intending to control hot trade volumes to cool skyrocketing housing prices in a booming housing market. It is suggested that the government should pay attention to restraining short-term flipping activities in the housing market rather than setting constrains on housing transactions.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140430274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SUSTAINABILITY IN PROPERTY TAXATION: AN APPLICATION FOR REVENUE STABILITY AND FAIRNESS PERSPECTIVES, THE CITY OF BUFFALO, NY 财产税的可持续性:收入稳定性和公平性视角的应用,纽约州水牛城
IF 2.7 4区 管理学
International Journal of Strategic Property Management Pub Date : 2023-12-21 DOI: 10.3846/ijspm.2023.20564
Emre Ozmen
{"title":"SUSTAINABILITY IN PROPERTY TAXATION: AN APPLICATION FOR REVENUE STABILITY AND FAIRNESS PERSPECTIVES, THE CITY OF BUFFALO, NY","authors":"Emre Ozmen","doi":"10.3846/ijspm.2023.20564","DOIUrl":"https://doi.org/10.3846/ijspm.2023.20564","url":null,"abstract":"The scholarly modeling of property tax has always posed a challenge, with two primary concerns to be addressed: first, maintaining sustainability in the collection, which is primarily a concern for local governments; and second, ensuring fair distribution, which is of greater concern for citizens. In today’s practices, assessment-based property tax increases unmatched expenses in bubble economies. There is a substitution problem in rapid falls, the tendency to not decrease the assessments gives way to black holes and opens the door to ghost cities. This paper proposes alternative approaches, aside from market/land value or last sold price, aimed at improving sustainability and fairness rates. The dataset examined is based on 93.7K records and 88 attributes for assessed value of properties within the City of Buffalo, the United States of America. Since the label (Total Value) is a numerical and continuous value, regression models are selected, where ensemble machine learning methods categorically work well with larger datasets, combined with weak learners, like decision trees. Stacked Ensemble led the least error for regression with 0.98 R2, followed by Gradient Boosting. Results show a 79% dominance of uncontrollable attributes, such as Land Value, Neighborhood, and Sale (last sold) Price, compared to controllable attributes, such as Total Living Area, Construction Grade, Second Story Area, and many others. This article suggests having a more balanced split between uncontrollable and controllable attributes would contribute to both sustainability and fair distribution.","PeriodicalId":14424,"journal":{"name":"International Journal of Strategic Property Management","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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