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Article
Publication date: 10 July 2020

Bedane S. Gemeda, Birhanu G. Abebe and Giuseppe T. Cirella

The aim of the research is to examine the role of property tax in land and building administration and to develop a dynamic model. The paper investigates the extent to which local…

Abstract

Purpose

The aim of the research is to examine the role of property tax in land and building administration and to develop a dynamic model. The paper investigates the extent to which local governments take advantage of property tax in generating revenue and encouraging certain life cycle assessment-oriented land and building speculation patterns in Shashemene, Ethiopia.

Design/methodology/approach

The study was conducted using case study and survey research strategies. Shashemene's administrative area (i.e. specific to four peri-urban villages) was purposively selected as the case study area. A combination of different data collection instruments was employed: questionnaires and field observation. Moreover, an extensive survey of owners of undeveloped land and building, throughout the study area, was conducted. Multiple regression analysis was applied to the analyzed data as well as the use of dynamic modeling of land and building via qualitative and numerical analysis of property.

Findings

Results indicate that speculators will hold land and building for a marginal period only if the difference between present net rates of return exceeds the difference between discounted expected percent return.

Practical implications

This paper provides a simple model to recognize the optimum length of time to hold a parcel of land and building from the market by land speculators.

Originality/value

The introduction and potential implementation of dynamics modeling to the local government calls for controlling speculation that has resulted in local revenue enhancement.

Details

Property Management, vol. 38 no. 5
Type: Research Article
ISSN: 0263-7472

Keywords

Article
Publication date: 3 April 2019

Korhan Gokmenoglu and Siamand Hesami

Real estate and stocks are two major asset types in an investor’s portfolio. Therefore, this paper aims to investigate the relationship between these two markets to provide a…

Abstract

Purpose

Real estate and stocks are two major asset types in an investor’s portfolio. Therefore, this paper aims to investigate the relationship between these two markets to provide a valuable insight into the process of portfolio optimization and security selection.

Design/methodology/approach

This study examines the long-run relationship between residential real estate prices and stock market index in the case of Germany for the period of 2005-2017 by applying time series econometrics techniques. To this aim, this study uses Hedonic House Price Index as a proxy for real estate prices and DAX30 as a proxy for stock prices. Moreover, three additional variables, namely, consumer confidence, credit availability and supply of mortgage loans, are incorporated as control variables to assess the robustness of the results.

Findings

Obtained empirical results indicate a long-run relationship between stock prices and real estate prices which suggests that in long-run, there is no diversification benefit from allocating stock and real estate assets in a portfolio. This finding is especially important for long-term investors such as pension funds.

Originality/value

To the authors’ best knowledge, this is the first study that empirically investigates the relationship between the real estate market and stock prices using the Hedonic Price Index for the case of Germany.

Details

International Journal of Housing Markets and Analysis, vol. 12 no. 4
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 6 June 2016

O. Hayden Griffin, III and Vanessa H. Woodward

One of the greatest challenges for drug regulation is valid, comprehensive surveillance of drugs after they reach the pharmaceutical market. The purpose of this paper is to…

Abstract

Purpose

One of the greatest challenges for drug regulation is valid, comprehensive surveillance of drugs after they reach the pharmaceutical market. The purpose of this paper is to propose a new method of individual and aggregate-level postmarket surveillance using data previously (and continuously) collected by drug courts, which are in operation in nearly every geographic corner of the USA.

Design/methodology/approach

To determine the feasibility of such an undertaking, data were obtained from an urban, southern county drug court. Intake data included all participants from September 2012 to November 2013. The final sample included 532 drug court participants.

Findings

Intake data were found to include various demographic variables, measures of drug use, and various sociological/criminological variables such as familial and social support, church attendance, and other pertinent variables for studying drug use and crime trends generally.

Practical implications

By using intake data from drug courts in a manner similar to Uniform Crime Report or National Incident-Based Reporting System, this could add greatly to the understanding of crime and drug use.

Social implications

The authors purport that a data management system of drug court intake data could provide a cost-efficient and generalizable representation of drug use of those within the criminal justice system.

Originality/value

Many efforts have been employed in an attempt to better ascertain where high rates of drug use occur. By using drug courts as more than just a system of treatment, postmarketing surveillance could be improved.

Details

Drugs and Alcohol Today, vol. 16 no. 2
Type: Research Article
ISSN: 1745-9265

Keywords

Article
Publication date: 1 September 1995

Claire Creaser and John Sumsion

Presents the results of a study into the relationship betweenaffluence of an area and the use made of the public library services,concentrating on London boroughs and English…

257

Abstract

Presents the results of a study into the relationship between affluence of an area and the use made of the public library services, concentrating on London boroughs and English metropolitan districts. Uses the Department of Environment Index of Local Conditions and library data to calculate correlation coefficients and regression analyses. Finds that certain variables of library data, e.g. book issues per capita, can be correlated with the affluence of the area and, therefore, could be used to create an index for assessing whether a library service is performing above or below expectation for a particular area. Suggests areas of future research.

Details

Library Management, vol. 16 no. 6
Type: Research Article
ISSN: 0143-5124

Keywords

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