Pub Date : 2018-01-02DOI: 10.1080/14445921.2017.1409171
L. Towart
Abstract In Australia, the Retirement Living and Aged Care (RLAC) sector lacks a historic benchmark performance metric. Institutional investors utilising modern portfolio theory require such benchmarks for making future decisions. It has been considered that this lack of a benchmark has hindered investment in the RLAC sector. This paper evaluates historical investment performance of listed entities in the sector and constructs a market capitalisation weighted return index. From this, the historical performance and diversification potential was analysed from 2004 to 2016. Compared to other investments, RLAC had an inferior risk-adjusted performance. Due to this performance, the inclusion of RLAC in a portfolio did not lead to optimisation. The heterogeneity of the sector coupled with changing business models has implications for drawing conclusions from this historical performance.
{"title":"Evaluating the investment performance of Australian retirement living and aged care assets","authors":"L. Towart","doi":"10.1080/14445921.2017.1409171","DOIUrl":"https://doi.org/10.1080/14445921.2017.1409171","url":null,"abstract":"Abstract In Australia, the Retirement Living and Aged Care (RLAC) sector lacks a historic benchmark performance metric. Institutional investors utilising modern portfolio theory require such benchmarks for making future decisions. It has been considered that this lack of a benchmark has hindered investment in the RLAC sector. This paper evaluates historical investment performance of listed entities in the sector and constructs a market capitalisation weighted return index. From this, the historical performance and diversification potential was analysed from 2004 to 2016. Compared to other investments, RLAC had an inferior risk-adjusted performance. Due to this performance, the inclusion of RLAC in a portfolio did not lead to optimisation. The heterogeneity of the sector coupled with changing business models has implications for drawing conclusions from this historical performance.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1409171","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44707512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-02DOI: 10.1080/14445921.2017.1375645
Sacha Reid, E. Coiacetto
Abstract Significant changes to Australian foreign investment policy were enacted in December 2015 affecting how foreigners can purchase property. Therefore, it is timely to examine the role of legislative policy in supporting and shaping foreign investment in residential real estate. This paper contributes to the body of knowledge about the scale, extent and nature of foreign investment in residential real estate in several ways. First, legislative analysis reveals an emphasis on boosting new dwelling supply and on economic stimulus. Second, comparing Australian and international policies we show that some countries channel foreign ownership away from land and towards buildings only. Third, examining the scale of foreign investment in residential real estate since 2009 we show that while the number of foreign approvals has been rising, their value remained static. Fourth, our research reveals a changing investor profile over time in Australia. Additionally, on the Gold Coast, as in other capital cities in Australia, there has been a sectoral change with an increase in foreign property developers supplying dwelling product. The paper concludes with some key research recommendations to aid in understanding supply and demand from foreign residential property investors and the influence this has on property markets.
{"title":"Legislative policy environment as facilitator of foreign residential investment in Australia","authors":"Sacha Reid, E. Coiacetto","doi":"10.1080/14445921.2017.1375645","DOIUrl":"https://doi.org/10.1080/14445921.2017.1375645","url":null,"abstract":"Abstract Significant changes to Australian foreign investment policy were enacted in December 2015 affecting how foreigners can purchase property. Therefore, it is timely to examine the role of legislative policy in supporting and shaping foreign investment in residential real estate. This paper contributes to the body of knowledge about the scale, extent and nature of foreign investment in residential real estate in several ways. First, legislative analysis reveals an emphasis on boosting new dwelling supply and on economic stimulus. Second, comparing Australian and international policies we show that some countries channel foreign ownership away from land and towards buildings only. Third, examining the scale of foreign investment in residential real estate since 2009 we show that while the number of foreign approvals has been rising, their value remained static. Fourth, our research reveals a changing investor profile over time in Australia. Additionally, on the Gold Coast, as in other capital cities in Australia, there has been a sectoral change with an increase in foreign property developers supplying dwelling product. The paper concludes with some key research recommendations to aid in understanding supply and demand from foreign residential property investors and the influence this has on property markets.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1375645","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45963792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-02DOI: 10.1080/14445921.2017.1372037
P. Wong, D. Higgins, R. Wakefield
Abstract Active participation by foreign investors in Australian residential property market is common subsequent to the Global Financial Crisis 2008. Many residential properties in the Australian capital cities were purchased by overseas buyers. An estimated 18% of new dwellings in Sydney and 14% in Melbourne were purchased by foreigners in 2014. Simultaneously, house prices rose by 6.0% in 2014 and 5.0% in 2015 in the Australian capital cities. The focus of this research is to uncover the emerging determinants for the Australian residential property market. Cross border semi-structured interviews were conducted in Shanghai (China), the first such undertaken in Australia. Some unique investment strategies of the private investors from China emphasised on non-capitalist factors, such as early education and residential tourism, were identified along with some insights on the Chinese government policies that have incentivised the cross border investments from China. It is believed that understanding these investment strategies will assist policy makers to effectively manage the overheated Australian residential property market without compromising the steady flow of Foreign Real Estate Investment.
{"title":"Chinese investors investment strategies in the Australian residential property market","authors":"P. Wong, D. Higgins, R. Wakefield","doi":"10.1080/14445921.2017.1372037","DOIUrl":"https://doi.org/10.1080/14445921.2017.1372037","url":null,"abstract":"Abstract Active participation by foreign investors in Australian residential property market is common subsequent to the Global Financial Crisis 2008. Many residential properties in the Australian capital cities were purchased by overseas buyers. An estimated 18% of new dwellings in Sydney and 14% in Melbourne were purchased by foreigners in 2014. Simultaneously, house prices rose by 6.0% in 2014 and 5.0% in 2015 in the Australian capital cities. The focus of this research is to uncover the emerging determinants for the Australian residential property market. Cross border semi-structured interviews were conducted in Shanghai (China), the first such undertaken in Australia. Some unique investment strategies of the private investors from China emphasised on non-capitalist factors, such as early education and residential tourism, were identified along with some insights on the Chinese government policies that have incentivised the cross border investments from China. It is believed that understanding these investment strategies will assist policy makers to effectively manage the overheated Australian residential property market without compromising the steady flow of Foreign Real Estate Investment.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1372037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46431475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-02DOI: 10.1080/14445921.2017.1375620
D. Boshoff
Abstract This study identifies the influence of rapid rail systems on property values, with a focus on office buildings in South Africa. It is based on a limited sample of office properties, analysed using MRA to investigate pre-implementation values and rent to post-implementation data. It attempts to confirm if distance from the train stations influences these variables. Evidence is found that distance from the station does have a positive impact on rental levels and property values. The limited data-set, however, causes inadequate levels of statistical significance in some variables, arguably due to the small sample or model specification error due to information availability for research. The positive influence of rapid rail systems found on office values has important implications for property investors, developers, financiers and taxing authorities. This is important amidst a period of extension planning, whereby this research could provide useful information for decision-making and analysis and offers a valuable contribution to the methods to measure the impact of rapid rail systems on property values, although currently limited to office buildings. Furthermore, this research is contributing to the body of knowledge, especially in developing markets, where advanced public transport systems need to be implemented for the first time.
{"title":"The influence of rapid rail systems on office values: A case study on South Africa","authors":"D. Boshoff","doi":"10.1080/14445921.2017.1375620","DOIUrl":"https://doi.org/10.1080/14445921.2017.1375620","url":null,"abstract":"Abstract This study identifies the influence of rapid rail systems on property values, with a focus on office buildings in South Africa. It is based on a limited sample of office properties, analysed using MRA to investigate pre-implementation values and rent to post-implementation data. It attempts to confirm if distance from the train stations influences these variables. Evidence is found that distance from the station does have a positive impact on rental levels and property values. The limited data-set, however, causes inadequate levels of statistical significance in some variables, arguably due to the small sample or model specification error due to information availability for research. The positive influence of rapid rail systems found on office values has important implications for property investors, developers, financiers and taxing authorities. This is important amidst a period of extension planning, whereby this research could provide useful information for decision-making and analysis and offers a valuable contribution to the methods to measure the impact of rapid rail systems on property values, although currently limited to office buildings. Furthermore, this research is contributing to the body of knowledge, especially in developing markets, where advanced public transport systems need to be implemented for the first time.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1375620","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49404583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-02DOI: 10.1080/14445921.2017.1372038
J. Poon
Abstract The aim of this paper is to identify the key factors affecting foreign real estate investment (FREI) in the UK, with a particular focus in London. The panel regression method was used as a data analysis approach for this paper. Two panel regression equations were developed. The first equation has five explanatory variables including GDP, wage, property price, land price and interest rate. The second equation has the sixth explanatory variable, tourists, as well as the five variables used in the first equation. Pearson coefficient analysis was also conducted to identify the correlation between the dependent variable, FREI and the explanatory variables. For the first equation of panel regression analysis showed all five explanatory variables are statistically significant and have an expected impact on FREI. That is GDP and house price, have positive impacts on FREI, while wage, land price and interest rate have negative impacts. For the second equation, all explanatory variables, apart from interest rate and tourists, are statistically significant. Tourists have an unexpected negative impact on FREI. Pearson coefficient analysis showed that FREI has a statistically significant correlation relationship with GDP, wage, house price, land price and interest rate. FREI also has a positive relationship with all explanatory variables except interest rate.
{"title":"Foreign direct investment in the UK real estate market","authors":"J. Poon","doi":"10.1080/14445921.2017.1372038","DOIUrl":"https://doi.org/10.1080/14445921.2017.1372038","url":null,"abstract":"Abstract The aim of this paper is to identify the key factors affecting foreign real estate investment (FREI) in the UK, with a particular focus in London. The panel regression method was used as a data analysis approach for this paper. Two panel regression equations were developed. The first equation has five explanatory variables including GDP, wage, property price, land price and interest rate. The second equation has the sixth explanatory variable, tourists, as well as the five variables used in the first equation. Pearson coefficient analysis was also conducted to identify the correlation between the dependent variable, FREI and the explanatory variables. For the first equation of panel regression analysis showed all five explanatory variables are statistically significant and have an expected impact on FREI. That is GDP and house price, have positive impacts on FREI, while wage, land price and interest rate have negative impacts. For the second equation, all explanatory variables, apart from interest rate and tourists, are statistically significant. Tourists have an unexpected negative impact on FREI. Pearson coefficient analysis showed that FREI has a statistically significant correlation relationship with GDP, wage, house price, land price and interest rate. FREI also has a positive relationship with all explanatory variables except interest rate.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1372038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42637521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-02DOI: 10.1080/14445921.2017.1400246
A. Adair
{"title":"Online only Editorial board","authors":"A. Adair","doi":"10.1080/14445921.2017.1400246","DOIUrl":"https://doi.org/10.1080/14445921.2017.1400246","url":null,"abstract":"","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1400246","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45294583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-02DOI: 10.1080/14445921.2017.1375663
Kongkoon Tochaiwat, Warakorn Likitanupak
Abstract This research aims to propose a prediction model for the Average Daily Rate (ADR) for Bangkok four-star hotels. The model was developed using the hedonic price model, which was calculated from 158 four-star hotels in Bangkok. The variables in the model were derived from a literature review and suggested by an expert panel. Factor Analysis was adopted to merge the highly correlated variables. The best-fit model is a log-linear form with a .576 Adjusted R2 value. The top five most sensitive variables are (1) staff performance score from Agoda’s review, (2) location score from Agoda’s review, (3) room standard score from Agoda’s review, (4) fitness availability (presence or absence), and (5) the number of hotel outlets. The model was verified by a paired-sample t-test from 30 hotels with similar criteria. From the analysis, the observed ADRs were not significantly different from the predicted ADRs at the .05 significance level (p-value = .849). Furthermore, Theil’s U statistic was .578, which could suggest that the model has high accuracy. In summary, this model can give useful information to investors or developers in the decision-making process for hotel investment, hotel renovation, hotel room pricing, and rechecking the ADRs of operating hotels.
{"title":"Bangkok four-star hotels’ Average Daily Rate (ADR) prediction model","authors":"Kongkoon Tochaiwat, Warakorn Likitanupak","doi":"10.1080/14445921.2017.1375663","DOIUrl":"https://doi.org/10.1080/14445921.2017.1375663","url":null,"abstract":"Abstract This research aims to propose a prediction model for the Average Daily Rate (ADR) for Bangkok four-star hotels. The model was developed using the hedonic price model, which was calculated from 158 four-star hotels in Bangkok. The variables in the model were derived from a literature review and suggested by an expert panel. Factor Analysis was adopted to merge the highly correlated variables. The best-fit model is a log-linear form with a .576 Adjusted R2 value. The top five most sensitive variables are (1) staff performance score from Agoda’s review, (2) location score from Agoda’s review, (3) room standard score from Agoda’s review, (4) fitness availability (presence or absence), and (5) the number of hotel outlets. The model was verified by a paired-sample t-test from 30 hotels with similar criteria. From the analysis, the observed ADRs were not significantly different from the predicted ADRs at the .05 significance level (p-value = .849). Furthermore, Theil’s U statistic was .578, which could suggest that the model has high accuracy. In summary, this model can give useful information to investors or developers in the decision-making process for hotel investment, hotel renovation, hotel room pricing, and rechecking the ADRs of operating hotels.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1375663","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41677857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-04DOI: 10.1080/14445921.2016.1225149
R. Li, S. Fong, Kyle Weng Sang Chong
Abstract If there is long-term memory in property stocks and REITs prices, historical data is relevant for future prices prediction. Despite previous research adopted various different methods to forecast future asset prices by using historical data; we attempted to forecast the REITs and stock indices by Group Method of Data Handling (GMDH) neural network method with Hurst which is the first of its kind. Our results showed that GMDH neural network performed better than the classical forecasting algorithms such as Single Exponential Smooth, Double Exponential Smooth, ARIMA and back-propagation neural network. The research results also provide useful information for investors when they make investment decisions.
{"title":"Forecasting the REITs and stock indices: Group Method of Data Handling Neural Network approach","authors":"R. Li, S. Fong, Kyle Weng Sang Chong","doi":"10.1080/14445921.2016.1225149","DOIUrl":"https://doi.org/10.1080/14445921.2016.1225149","url":null,"abstract":"Abstract If there is long-term memory in property stocks and REITs prices, historical data is relevant for future prices prediction. Despite previous research adopted various different methods to forecast future asset prices by using historical data; we attempted to forecast the REITs and stock indices by Group Method of Data Handling (GMDH) neural network method with Hurst which is the first of its kind. Our results showed that GMDH neural network performed better than the classical forecasting algorithms such as Single Exponential Smooth, Double Exponential Smooth, ARIMA and back-propagation neural network. The research results also provide useful information for investors when they make investment decisions.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2016.1225149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45695580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-16DOI: 10.1080/14445921.2017.1303263
W. Wong, Kamarun Nisham Taufil Mohd, Nur Adiana Hiau Abdullah
Abstract This study examines the effect of dividend tax changes on the share prices and corporate policies of Malaysian REITs. Event study results show that dividend tax cut announcements provide positive abnormal returns. Based on cross-sectional regression, the abnormal returns are found to be larger for REITs with a higher retail ownership. The implementation of dividend tax cuts also increases dividend payout and reduce investment activities. These results partly support the traditional view of dividend taxation which posits that tax reform could affect economic efficiency and resource allocation in an economy.
{"title":"Announcement effects of dividend tax cuts and corporate policies: evidence from Malaysia REITs","authors":"W. Wong, Kamarun Nisham Taufil Mohd, Nur Adiana Hiau Abdullah","doi":"10.1080/14445921.2017.1303263","DOIUrl":"https://doi.org/10.1080/14445921.2017.1303263","url":null,"abstract":"Abstract This study examines the effect of dividend tax changes on the share prices and corporate policies of Malaysian REITs. Event study results show that dividend tax cut announcements provide positive abnormal returns. Based on cross-sectional regression, the abnormal returns are found to be larger for REITs with a higher retail ownership. The implementation of dividend tax cuts also increases dividend payout and reduce investment activities. These results partly support the traditional view of dividend taxation which posits that tax reform could affect economic efficiency and resource allocation in an economy.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1303263","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44903136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-14DOI: 10.1080/14445921.2017.1298950
J. Amar, Lynne Armitage, Daniel O’Hare
Abstract Stakeholders are recognised as drivers of effective conservation of cultural built heritage. Yet, as stakeholders have eclectic views in terms of their interest in, knowledge of and perceptions about the management of historic fabric, their practices are often diverse. The objective of this paper is to gain an understanding of the stakeholders’ views drawn from relevant professional field on the issues that act as barriers to conservation and identify the factors that motivate built heritage management in Australia. Using a qualitative research design, two focus groups were conducted in Queensland and New South Wales with purposely selected key informants (N = 14) working in the Australian heritage sector. The study presents stakeholders’ interest in managing built heritage and the perceptions concerning the application of conservation policy and practices in the Australian built heritage sector, as influenced by the interdisciplinary backgrounds of participants. The paper contributes to an in-depth understanding of the conservation barriers and motivators and their implications for policy and practices in the management of Australian built heritage. The study is based on the perceptions of key informants with diverse interests and knowledge about the conservation of cultural built heritage; this makes the research analysis and implications inclusive and influential from both theoretical and practical points of view.
{"title":"Australian cultural built heritage: stakeholders’ perceived conservation barriers and motivations","authors":"J. Amar, Lynne Armitage, Daniel O’Hare","doi":"10.1080/14445921.2017.1298950","DOIUrl":"https://doi.org/10.1080/14445921.2017.1298950","url":null,"abstract":"Abstract Stakeholders are recognised as drivers of effective conservation of cultural built heritage. Yet, as stakeholders have eclectic views in terms of their interest in, knowledge of and perceptions about the management of historic fabric, their practices are often diverse. The objective of this paper is to gain an understanding of the stakeholders’ views drawn from relevant professional field on the issues that act as barriers to conservation and identify the factors that motivate built heritage management in Australia. Using a qualitative research design, two focus groups were conducted in Queensland and New South Wales with purposely selected key informants (N = 14) working in the Australian heritage sector. The study presents stakeholders’ interest in managing built heritage and the perceptions concerning the application of conservation policy and practices in the Australian built heritage sector, as influenced by the interdisciplinary backgrounds of participants. The paper contributes to an in-depth understanding of the conservation barriers and motivators and their implications for policy and practices in the management of Australian built heritage. The study is based on the perceptions of key informants with diverse interests and knowledge about the conservation of cultural built heritage; this makes the research analysis and implications inclusive and influential from both theoretical and practical points of view.","PeriodicalId":44302,"journal":{"name":"Pacific Rim Property Research Journal","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2017-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/14445921.2017.1298950","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45299045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：