scholarly journals Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals

Author(s):  
Mateusz Tomal

AbstractThe aim of this paper is to test for overall and cluster convergence of housing rents across Polish provincial capitals and to identify drivers of convergence club formation. In order to achieve the goal of the study, several novel convergence tests were used, including the Kong et al. (J Econom 209:185–207, 2019. https://doi.org/10.1016/j.jeconom.2018.12.022) and Phillips and Sul (Econometrica 75:1771–1855, 2007. https://doi.org/10.1111/j.1468-0262.2007.00811.x) approaches. Moreover, club convergence analysis was carried out in four different configurations, varying in the technique of trend component extraction from the data. In particular, three well-known methods of time series decomposition were used, i.e. the Hodrick–Prescott, Butterworth and Christiano–Fitzgerald filters, as well as the most recent boosted Hodrick–Prescott filter. The results indicated that rental prices across the studied cities do not share a common path in the long run. It is possible, however, to identify convergence clubs where rents are moving towards a club-specific steady state. Detailed analysis of the structure of estimated clusters showed that data filtering using the boosted Hodrick–Prescott method leads to the most reliable allocation of cities to convergence clubs. Moreover, the estimation of logit models revealed that the likelihood of any two cities belonging to the same convergence club depends mainly on similar levels in terms of the unemployment rate, housing stock, city area, and the number of students. Finally, recommendations for local and national policy-makers concerning the development of the rental market have been formulated, particularly in the areas of urban land-use planning policy, housing legislation and public–private partnerships.

2006 ◽  
Vol 15 (5) ◽  
pp. 799-809 ◽  
Author(s):  
Piyoosh Rautela

PurposeThe cumulative impact of accidents not considered as disasters far surpasses the impact of disasters. Accidents taking toll of human lives and economy are often underreported and go unnoticed and the victims of these incidences are also ill compensated. It is therefore necessary to pay adequate attention to accidents and formulate appropriate policies for giving equal treatment to the victims of these events and also to make efforts for mitigating these. This paper aims to discuss this.Design/methodology/approachThe paper discusses the impact of accidents and attempts to assert that these are a cause of major concern. The database of the disasters (EM‐DAT) of Center for Research on the Epidemiology of Disasters (CRED), Belgium has been utilised for ascertaining the toll of disasters, while for assessing the cumulative toll of the accidents and disasters database available at departmental web sites (Department of Road Transport and Highways, Ministry of Shipping, Road Transport and Highways, Government of India (www.morth.nic.in) and Railway Ministry, Government of India (www.indianrailways.gov.in) together with some other web sites have been used. The two databases have been correlated to establish that the cumulative toll is far more than what is generally perceived to be the toll of the disasters.FindingsBased on the correlation of one event each under the category of natural and man made disasters (landslides, transport accidents) it is concluded that these correlations establish that the toll of accidents is many times more than the disaster events and there exists a pressing need to pay adequate attention towards managing accidents that take heavy toll of the global resources.Research limitations/implicationsAt present there exists no formal and comprehensive database recording the toll of accidents and the study is based on the database compiled from different sources. The paper establishes beyond doubt that the magnitude of the toll of accidents is far more than that of disasters and there exists pressing need for managing accidents.Practical implicationsThis paper would bring forth the importance of managing accidents before the policy makers and initiate advocacy for putting in more resources for managing these events. In the long run the victims would not be differentiated on the basis of the magnitude of the incidents they have faced.Originality/valueThe paper shows the importance of managing major accidents and provides guidance for appropriate changes to be made.


2013 ◽  
Vol 11 (2) ◽  
Author(s):  
Ahmad Nazri Muhamad Ludin ◽  
Norsiah Abd. Aziz ◽  
Nooraini Hj Yusoff ◽  
Wan Juliyana Wan Abd Razak

Land use planning plays a crucial role in creating a balance between the needs of society, physical development and the ecosystem. However, most often poor planning and displacement of land uses particularly in urban areas contribute to social ills such as drug abuse and criminal activities. This research explains the spatial relationship of drug abuse and other criminal activities on urban land use planning and their implications on the society at large. Spatial statistics was used to show patterns, trends and spatial relationships of crimes and land use planning. Data on crime incidents were obtained from the Royal Malaysia Police Department whilst cases of drug abuse were collected from the National Anti-Drug Agency (AADK). Analysis of the data together with digital land use maps produced by Arnpang Jaya Municipal Council, showed the distribution of crime incidents and drug abuse in the area. Findings of the study also indicated that, there was a strong relationship between petty crimes, drng abuse and land use patterns. These criminal activities tend to concentrate in residential and commercial areas of the study area.


2021 ◽  
Vol 4 (1) ◽  
pp. 100154
Author(s):  
Somporn Sangawongse ◽  
Robert Fisher ◽  
Sidhinat Prabudhanitisarn

2020 ◽  
Vol 66 (No. 7) ◽  
pp. 335-344
Author(s):  
Muhammad Waqas Khalid ◽  
Ashar Sultan Kayani ◽  
Jamal Mohammed Alotaibi ◽  
Muhammad Muddassir ◽  
Bader Alhafi Alotaibi ◽  
...  

Higher consumption and increased import requirements for the South Asian Association for Regional Cooperation (SAARC) region can be catered through neighboring trade partners if resources are optimally utilized. The purpose of this research is to analyze the connection between regional trade of SAARC countries and the food security challenges faced by the region. The study uses data from 1990–2018 for Pakistan, India, Sri Lanka, and Bangladesh to econometrically analyze the determinants of the volume of food trade. The results show that the gross domestic product of importing or exporting countries and foreign direct investment (FDI) have positive impact on regional trade. The bilateral exchange rate between trading partners has a negative impact on the trade volume. The results also showed the absence of a long-run relationship between volume of trade and food security using Johansen’s cointegration test. Our analysis suggests that policy makers should focus on the means for creating favorable environment in Pakistan and India to not only meet the increasing global demands for food but also increasing their competitiveness for high-quality and low-quality priced products in major exports markets.


2021 ◽  
Vol 123 (4) ◽  
pp. 1-36
Author(s):  
Jeremy Singer ◽  
Ben Pogodzinski ◽  
Sarah Winchell Lenhoff ◽  
Walter Cook

Background/Context Chronic absenteeism has received increased attention from educational leaders and policy makers, in part because of the association between attendance and important student outcomes. Student attendance is influenced by a range of student-, school-, and community-level characteristics, suggesting that a comprehensive and multilayered approach to addressing chronic absenteeism is warranted, particularly in high-poverty urban districts. Given the complexity of factors associated with chronic absenteeism, we draw from ecological systems theory to study absenteeism in Detroit, which has the highest rate of chronic absence of major cities in the country. Purpose/Research Questions We use administrative and public data to advance the ecological approach to chronic absenteeism. In particular, we ask: (1) How are student, neighborhood, and school characteristics associated with individual absenteeism? (2) How are structural and environmental conditions associated with citywide rates of absenteeism? Our study helps to fill a gap in the research on absenteeism by moving beyond a siloed focus on student, family, or school factors, instead placing them in relationship to one another and in their broader socioeconomic context. It also illustrates how researchers, policy makers, and administrators can take a theoretically informed approach to chronic absenteeism and use administrative data to conceptualize the problem and the potential routes to improving it. Research Design Using student-level administrative data on all students living and going to school in Detroit in the 2015–2016 school year, we estimate a series of multilevel logistic regressions that measure the association between student-, neighborhood-, and school-level factors and the likelihood of a Detroit student being chronically absent. We also use publicly available data to examine how macrosystemic conditions (e.g., health, crime, poverty, racial segregation, weather) are correlated with citywide rates of absenteeism in the 2015–2016 school year, and we compare Detroit with other large cities based on those conditions. Findings/Results Student-, neighborhood-, and school-level factors were significant predictors of chronic absenteeism in Detroit. Students were more likely to be chronically absent if they were economically disadvantaged, received special education services, moved schools or residences during the year, lived in neighborhoods with more crime and residential blight, and went to schools with more economically disadvantaged students and less stable student populations. Macro-level factors were also significantly correlated with citywide rates of absenteeism, highlighting Detroit's uniquely challenging context for attendance. Conclusions/Recommendations Our ecological understanding of absenteeism suggests that school-based efforts are necessary but not sufficient to substantially decrease rates of chronic absenteeism in Detroit and other high-absenteeism contexts. Policies that provide short-term relief from economic hardship and aim to reduce inequalities in the long-run must be understood as part of, rather than separate from, a policy agenda for reducing chronic absenteeism.


Land ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 143
Author(s):  
Mariama Zerhouny ◽  
Abdelhamid Fadil ◽  
Mustapha Hakdaoui

With the rapid rate of population growth and economic development, cities face enormous challenges that require both optimal and integrated solutions to meet the needs of growth and to protect the environment and sustainable development. These urban dynamics, which change over time, extend not only horizontally and upward, but also downward. Thus, underground space has been utilized increasingly to relieve the urban surface and to ensure the exploitation of underground resources. The purpose of this study is to evaluate the possibilities of using this space in Casablanca as part of urban land-use planning and, consequently, to suggest an integrated model of exploitation of this space that is adapted to the specificities of the study area. Thus, an analysis of the use of underground spaces in a set of European cities has been performed. The study of the characteristics of this space in Casablanca has been realized according to the levels of geology and hydrogeology and two underground infrastructure projects. This work has led to the implementation of a prototype model named “Sub-Urban Information Modeling”. The model’s objective is to gather all the data and knowledge related to the relevant underground space in an integrated platform that can be shared and updated in order to facilitate the understanding of this environment and its interaction with the surface and to ensure the rational and efficient use of its resources.


2015 ◽  
Vol 48 ◽  
pp. 534-551 ◽  
Author(s):  
Yousef Sakieh ◽  
Abdolrassoul Salmanmahiny ◽  
Javad Jafarnezhad ◽  
Azade Mehri ◽  
Hamidreza Kamyab ◽  
...  

2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Keith Pezzoli ◽  
Robert Allen Leiter

AbstractDramatic changes taking place locally, regionally, globally, demand that we rethink strategies to improve public health, especially in disadvantaged communities where the cumulative impacts of toxicant exposure and other environmental and social stressors are most damaging. The emergent field of Sustainability Science, including a new bioregionalism for the 21st Century, is giving rise to promising place-based (territorially rooted) approaches. Embedded in this bioregional approach is an integrated planning framework (IPF) that enables people to map and develop plans and strategies that cut across various scales (e.g. from regional to citywide to neighborhood scale) and various topical areas (e.g. urban land use planning, water resource planning, food systems planning and “green infrastructure” planning) with the specific intent of reducing the impacts of toxicants to public health and the natural environment. This paper describes a case of bioregionally inspired integrated planning in San Diego, California (USA). The paper highlights food-water-energy linkages and the importance of “rooted” community-university partnerships and knowledge-action collaboratives in creating healthy and just bioregions.


2021 ◽  
Vol 65 (1) ◽  
pp. 102-119
Author(s):  
Adenuga Adekoya ◽  
◽  
Gbenro Sokunbi ◽  

A greater percentage of women in developing countries married before their 18th birthday. Early marriage serves as a threat to a child's future development. This is because it is difficult to have access to quality education and higher education, and it limits the ability to secure a good job. Also, girls involved in early marriage face acute poverty conditions. This research examined the link between early marriage and poverty in Nigeria. Annual data is sourced from 1970 to 2017. Granger causality is used to determine the nature of causality. Autoregressive Distributed Lagged Model is further used to estimate the data. The result showed that a bi-directional Granger causality exists between early marriage and poverty as well as for low-income and early marriage. In the long-run estimation, early marriage, secondary education and low-income increase poverty. Also, social welfare and access to credit facilities reduce poverty. The policy makers are therefore encouraged to improve social welfare for girls in early marriage and provide easy access to credit facilities for them to pursue higher education or entrepreneurship skills, in a bid to gradually move them out of poverty.


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