The Experts below are selected from a list of 23364 Experts worldwide ranked by ideXlab platform
Utku Dogan - One of the best experts on this subject based on the ideXlab platform.
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impacts of digitization on Real Estate Sector jobs
Journal of Property Investment & Finance, 2021Co-Authors: Daniel Piazolo, Utku DoganAbstract:Previous research on automation and job disruption is only marginally related to the Real Estate industry and its characteristics. This study investigates the effects of digitization on jobs in German Real Estate Sector, in order to assess the proportion of jobs threatened to be replaced by automation. Since Germany is the largest EU economy insights for the German Real Estate market allow a first approximation for Europe.,An extensive database of the German Federal Employment Agency containing job definitions and occupation titles is matched with Real Estate criteria to create a subset with the relevant Real Estate occupations. This data is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities.,For the 286 identified occupations within the Real Estate Sector a weighted average of 47 percent substitution probability through current technological capabilities is derived for tasks within the examined occupations.,This contribution indicates the extent of the structural change the Real Estate Sector has to face due to digitization: One out of two Real Estate jobs will have to be re-created.,This research quantifies the magnitude of the job killer aspect of digitization in the Real Estate Sector.
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impacts of digitization on Real Estate Sector jobs
Social Science Research Network, 2020Co-Authors: Daniel Piazolo, Utku DoganAbstract:Purpose: Previous research on automation and job disruption is only marginally related to the Real Estate industry and its characteristics. This study investigates the effects of digitization on jobs in German Real Estate Sector, in order to assess the proportion of jobs threatened to be replaced by automation. Since Germany is the largest EU economy insights for the German Real Estate market allow a first approximation for Europe. Design/methodology/approach: An extensive database of the German Federal Employment Agency containing job definitions and occupation titles is matched with Real Estate criteria to create a subset with the relevant Real Estate occupations. This data is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities. Findings: For the 286 identified occupations within the Real Estate Sector a weighted average of 47% substitution probability through current technological capabilities is derived for tasks within the examined occupations. Research limitations/implications: The method used neglects the feasibility of the introduction of automation technologies and digitization in terms of ethics, law and social aspects. Originality/value: This research quantifies the magnitude of the job killer aspect of digitization in the Real Estate Sector. Digitization has also a job motor aspect, of course. New job will arise thanks to digitization. This contribution indicates the extent of the structural change the Real Estate Sector has to face due to digitization: One out of two Real Estate jobs will have to be re-created.
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impacts of digitization on Real Estate Sector jobs significant structural change expected
Social Science Research Network, 2019Co-Authors: Daniel Piazolo, Utku DoganAbstract:Previous research on automation and job disruption is only margin-ally related to the Real Estate industry and its characteristics. This study examines the substitution potential of occupations in the Real Estate Sector, with an emphasis on the German Real Estate industry. Since Germany is the largest EU economy insights for the German Real Estate market allow a first approximation for Europe. For this, an extensive database of the German Federal Employment Agency containing 286 occupations is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities. This study follows the task-based approach of Dengler/Matthes (2018), thus calculating the substitution potential of jobs in the Real Estate Sector, revealing that for the 286 identified occupations and their respective tasks a weighted average of 47% can be substituted through current technological capabilities. This research quantifies the magnitude of the job killer aspect of digitization in the Real Estate Sector. However, digitization also has a job motor aspect. Thanks to digitization, new jobs will arise. This contribution indicates the extent of the structural change the Real Estate Sector has to face due to digitization: one out of two Real Estate jobs will have to be re-created.
Chunlu Liu - One of the best experts on this subject based on the ideXlab platform.
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an input output approach for measuring Real Estate Sector linkages
Journal of Property Research, 2007Co-Authors: Yu Song, Chunlu LiuAbstract:This research aims to measure and compare the total, backward, forward, internal and Sectoral linkages of the Real Estate Sector using the hypothetical extraction method over 30 years and explore the role of this Sector in national economies and the quantitative interdependence between the Real Estate Sector and the remaining Sectors from a new angle. Empirical results show an increasing trend of these linkages, which confirms the increasing role of the Real Estate Sector with economic maturity over the examined period. On the other hand, the significant rank correlations in the linkages imply that the importance of Real Estate remained fairly stable among highly developed economies over the examined period. This may supply a tool to signal the maturity of an entire economy. Furthermore, the findings can aid both governments making relative policies and businesses choosing strategic partners and location strategies.
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economic indicator comparisons of international Real Estate Sectors using the oecd input output database
The international journal of construction management, 2005Co-Authors: Chunlu Liu, Yu Song, Craig LangstonAbstract:With its growing share in national economies, the Real Estate Sector has been considered a vital contributor of economic development. Research efforts are needed in order to gain a better comprehension of the national specificities of the Real Estate Sector and to identify its role in economic development. Due to limited comparable data, the economic indicators of Real Estate Sectors are hard to compare between different countries. This paper aims to explore the quantitative interdependence amongst the Real Estate Sector and other industries in developed economies using input-output analysis, and to investigate their significant linkages. Based on the recently published Organisation for Economic Co-operation and Development (OECD) input-output database at constant prices, the analysis focuses on the Real Estate's escalating role in terms ofshares in gross output, value added and gross national product. With emphasis on the relative role of manufacturing, construction and services inputs, this paper also highlights the strengths of the push and pull of the Real Estate Sector.
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a linkage measure framework for the Real Estate Sector
International Journal of Strategic Property Management, 2005Co-Authors: Yu Song, Chunlu Liu, Craig LangstonAbstract:Abstract Linkage is one of the most important factors for gaining competitive advantage. Information on linkages is essential to understanding the structure of an economy, which is in turn important in formulating industry policies and business strategies. The hypothetical extraction method is used to measure the linkages by extracting a Sector hypothetically from an economic system in the literature. In the previous research, however, the internal linkage (linkage within a Sector) and Sectoral linkages (linkage between two specific Sectors) are ignored, and there is not a comprehensive framework to measure the linkages of a specific Sector. Using the recently published Organisation for Economic Co‐operation and Development input‐output database at constant prices, this paper aims to resolve these two shortcomings and thereby propose a linkage measure framework to explore the linkages between the Real Estate Sector and other Sectors from a new angle. The relative and absolute linkages are termed and the t...
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comparison of multifactor productivity indicators for Real Estate Sectors using the oecd input output database
Pacific rim property research journal, 2004Co-Authors: Chunlu Liu, Yu SongAbstract:AbstractResearch on the international comparison of productivity has gained significant interest throughout several previous decades. Relatively little work has however been done in the Real Estate Sector. This paper aims to develop a new productivity measurement framework for the international comparison of the Real Estate Sector based on the newly-published OECD input-output database. Three multifactor productivity indicators are formulated using the ratio of the Sectoral final demand to value added, the intermediate output to intermediate input and the total output to total input effect respectively in the input-output table. Historical analyses and comparisons are also carried out to indicate the differences of productivities of the Real Estate Sectors in seven selected countries. Findings can improve the understanding of how technological, organisational and policy influences combine to affect productivity growth and aid the policy makers, Real Estate agencies and researchers in evaluating the compet...
Yu Song - One of the best experts on this subject based on the ideXlab platform.
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an input output approach for measuring Real Estate Sector linkages
Journal of Property Research, 2007Co-Authors: Yu Song, Chunlu LiuAbstract:This research aims to measure and compare the total, backward, forward, internal and Sectoral linkages of the Real Estate Sector using the hypothetical extraction method over 30 years and explore the role of this Sector in national economies and the quantitative interdependence between the Real Estate Sector and the remaining Sectors from a new angle. Empirical results show an increasing trend of these linkages, which confirms the increasing role of the Real Estate Sector with economic maturity over the examined period. On the other hand, the significant rank correlations in the linkages imply that the importance of Real Estate remained fairly stable among highly developed economies over the examined period. This may supply a tool to signal the maturity of an entire economy. Furthermore, the findings can aid both governments making relative policies and businesses choosing strategic partners and location strategies.
-
economic indicator comparisons of international Real Estate Sectors using the oecd input output database
The international journal of construction management, 2005Co-Authors: Chunlu Liu, Yu Song, Craig LangstonAbstract:With its growing share in national economies, the Real Estate Sector has been considered a vital contributor of economic development. Research efforts are needed in order to gain a better comprehension of the national specificities of the Real Estate Sector and to identify its role in economic development. Due to limited comparable data, the economic indicators of Real Estate Sectors are hard to compare between different countries. This paper aims to explore the quantitative interdependence amongst the Real Estate Sector and other industries in developed economies using input-output analysis, and to investigate their significant linkages. Based on the recently published Organisation for Economic Co-operation and Development (OECD) input-output database at constant prices, the analysis focuses on the Real Estate's escalating role in terms ofshares in gross output, value added and gross national product. With emphasis on the relative role of manufacturing, construction and services inputs, this paper also highlights the strengths of the push and pull of the Real Estate Sector.
-
a linkage measure framework for the Real Estate Sector
International Journal of Strategic Property Management, 2005Co-Authors: Yu Song, Chunlu Liu, Craig LangstonAbstract:Abstract Linkage is one of the most important factors for gaining competitive advantage. Information on linkages is essential to understanding the structure of an economy, which is in turn important in formulating industry policies and business strategies. The hypothetical extraction method is used to measure the linkages by extracting a Sector hypothetically from an economic system in the literature. In the previous research, however, the internal linkage (linkage within a Sector) and Sectoral linkages (linkage between two specific Sectors) are ignored, and there is not a comprehensive framework to measure the linkages of a specific Sector. Using the recently published Organisation for Economic Co‐operation and Development input‐output database at constant prices, this paper aims to resolve these two shortcomings and thereby propose a linkage measure framework to explore the linkages between the Real Estate Sector and other Sectors from a new angle. The relative and absolute linkages are termed and the t...
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comparison of multifactor productivity indicators for Real Estate Sectors using the oecd input output database
Pacific rim property research journal, 2004Co-Authors: Chunlu Liu, Yu SongAbstract:AbstractResearch on the international comparison of productivity has gained significant interest throughout several previous decades. Relatively little work has however been done in the Real Estate Sector. This paper aims to develop a new productivity measurement framework for the international comparison of the Real Estate Sector based on the newly-published OECD input-output database. Three multifactor productivity indicators are formulated using the ratio of the Sectoral final demand to value added, the intermediate output to intermediate input and the total output to total input effect respectively in the input-output table. Historical analyses and comparisons are also carried out to indicate the differences of productivities of the Real Estate Sectors in seven selected countries. Findings can improve the understanding of how technological, organisational and policy influences combine to affect productivity growth and aid the policy makers, Real Estate agencies and researchers in evaluating the compet...
Daniel Piazolo - One of the best experts on this subject based on the ideXlab platform.
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impacts of digitization on Real Estate Sector jobs
Journal of Property Investment & Finance, 2021Co-Authors: Daniel Piazolo, Utku DoganAbstract:Previous research on automation and job disruption is only marginally related to the Real Estate industry and its characteristics. This study investigates the effects of digitization on jobs in German Real Estate Sector, in order to assess the proportion of jobs threatened to be replaced by automation. Since Germany is the largest EU economy insights for the German Real Estate market allow a first approximation for Europe.,An extensive database of the German Federal Employment Agency containing job definitions and occupation titles is matched with Real Estate criteria to create a subset with the relevant Real Estate occupations. This data is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities.,For the 286 identified occupations within the Real Estate Sector a weighted average of 47 percent substitution probability through current technological capabilities is derived for tasks within the examined occupations.,This contribution indicates the extent of the structural change the Real Estate Sector has to face due to digitization: One out of two Real Estate jobs will have to be re-created.,This research quantifies the magnitude of the job killer aspect of digitization in the Real Estate Sector.
-
impacts of digitization on Real Estate Sector jobs
Social Science Research Network, 2020Co-Authors: Daniel Piazolo, Utku DoganAbstract:Purpose: Previous research on automation and job disruption is only marginally related to the Real Estate industry and its characteristics. This study investigates the effects of digitization on jobs in German Real Estate Sector, in order to assess the proportion of jobs threatened to be replaced by automation. Since Germany is the largest EU economy insights for the German Real Estate market allow a first approximation for Europe. Design/methodology/approach: An extensive database of the German Federal Employment Agency containing job definitions and occupation titles is matched with Real Estate criteria to create a subset with the relevant Real Estate occupations. This data is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities. Findings: For the 286 identified occupations within the Real Estate Sector a weighted average of 47% substitution probability through current technological capabilities is derived for tasks within the examined occupations. Research limitations/implications: The method used neglects the feasibility of the introduction of automation technologies and digitization in terms of ethics, law and social aspects. Originality/value: This research quantifies the magnitude of the job killer aspect of digitization in the Real Estate Sector. Digitization has also a job motor aspect, of course. New job will arise thanks to digitization. This contribution indicates the extent of the structural change the Real Estate Sector has to face due to digitization: One out of two Real Estate jobs will have to be re-created.
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impacts of digitization on Real Estate Sector jobs significant structural change expected
Social Science Research Network, 2019Co-Authors: Daniel Piazolo, Utku DoganAbstract:Previous research on automation and job disruption is only margin-ally related to the Real Estate industry and its characteristics. This study examines the substitution potential of occupations in the Real Estate Sector, with an emphasis on the German Real Estate industry. Since Germany is the largest EU economy insights for the German Real Estate market allow a first approximation for Europe. For this, an extensive database of the German Federal Employment Agency containing 286 occupations is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities. This study follows the task-based approach of Dengler/Matthes (2018), thus calculating the substitution potential of jobs in the Real Estate Sector, revealing that for the 286 identified occupations and their respective tasks a weighted average of 47% can be substituted through current technological capabilities. This research quantifies the magnitude of the job killer aspect of digitization in the Real Estate Sector. However, digitization also has a job motor aspect. Thanks to digitization, new jobs will arise. This contribution indicates the extent of the structural change the Real Estate Sector has to face due to digitization: one out of two Real Estate jobs will have to be re-created.
Paolo Garofalo - One of the best experts on this subject based on the ideXlab platform.
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le misure macroprudenziali introdotte in europa per il settore immobiliare the macroprudential measures adopted in europe for the Real Estate Sector
Social Science Research Network, 2014Co-Authors: Daniele Ciani, Wanda Cornacchia, Paolo GarofaloAbstract:Italian Abstract: In diversi paesi europei stanno emergendo rischi nel settore immobiliare e le autorita hanno attivato o stanno attivando misure di natura macroprudenziale per contenerli. Questo lavoro propone una rassegna dei principali provvedimenti adottati o in corso di adozione in alcuni paesi europei, congiuntamente a un’analisi delle principali questioni riguardanti la scelta e l’efficacia dei diversi strumenti. Nei paesi esaminati l’adozione di strumenti macroprudenziali, ancora in una fase iniziale di applicazione, sta avvenendo in maniera graduale e non emergono ancora chiare evidenze sulla loro efficacia. In diversi casi sono state introdotte piu misure: alla luce dell’incertezza che caratterizza il funzionamento degli strumenti, l’utilizzo congiunto sembra offrire maggiori potenzialita, anche in ragione della capacita di ridurre i rischi di elusione. Le prime esperienze sembrano indicare che le misure sono piu efficaci quando sono adottate tempestivamente a fronte del peggioramento degli indicatori di rischio del mercato immobiliare e della finanza ad esso indirizzata. Sembrano aver rilievo, ai fini dell’efficacia delle misure, anche gli aspetti legati alla loro calibrazione. English Abstract: Risks are emerging in the Real Estate Sector in Europe and the authorities have taken macroprudential measures to contain them. This paper reviews the main measures that have been or are being adopted in a number of European countries, and analyzes the main issues concerning the choice and the effectiveness of the different instruments. In the countries examined, the macroprudential instruments are just beginning to be phased and clear evidence of their effectiveness is not yet available. In some countries several measures have been introduced: given the uncertainty surrounding the functioning of these tools, the use of multiple instruments appears to offer greater potential, including in terms of the ability to reduce avoidance. The initial experiences show that macroprudential measures are more effective if they are put in place promptly when the indicators of risk in the Real Estate market and finance start to worsen. Calibration issues also appear to be crucial for their effectiveness.
