The impact of social participation on the efficiency of communal investment expenditure

Tomal, Mateusz; Nalepka, Adam

doi:10.1080/1331677x.2020.1715237

Cited by 4 publications

(2 citation statements)

References 26 publications

(35 reference statements)

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“…A second possibility for politicians to promote tenancy is joint ventures of a public–private nature, in which a public entity could be a donor of land for future investments. Unfortunately, in Poland, the level of such activities is extremely low, and in the area of housing almost non-existent (Węgrzyn 2014 ; Tomal and Nalepka 2020 ). It should also be noted that renting in relation to purchasing is very often seen as an unprofitable form of providing a good such as housing (Ullah and Sepasgozar 2020 ).…”

Section: Discussionmentioning

confidence: 99%

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

Tomal

2021

Empir Econ

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The 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.

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Section: Discussionmentioning

confidence: 99%

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

Tomal

2021

Empir Econ

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“…There are many standardisation formulas in the literature, but it is the zero unitarisation that meets all requirements for this type of transformation. Amongst other things, it ensures non-zero values and the stability of ranges of variability of the standardised variables (Tomal and Nalepka, 2020).…”

Section: Methodsmentioning

confidence: 99%

Housing market heterogeneity and cluster formation: evidence from Poland

Tomal

2021

IJHMA

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Purpose This study aims to identify clusters amongst the county housing markets in Poland, taking into account the criteria of size and quality of the housing stock, as well as price level. In addition, this work is intended to detect the socio-economic factors driving the cluster formation. Design/methodology/approach To group the studied housing markets into homogeneous clusters, this analysis uses a proprietary algorithm based on taxonomic and k-means++ methods. In turn, the generalised ordered logit (gologit) model was used to explore factors influencing the cluster formation. Findings The results obtained revealed that Polish county housing markets can be classified into three or four homogeneous clusters in terms of the size and quality of the housing stock and price level. Furthermore, the results of the estimation of the gologit models indicated that population density, number of business entities and the level of crime mainly determine the membership of a given housing market in a given cluster. Originality/value In contrast to previous studies, this is the first to examine the existence of homogeneous clusters amongst the county housing markets in Poland, taking into account the criteria of size and quality of the housing stock, as well as price level simultaneously. Moreover, this work is the first to identify the driving forces behind the formation of clusters amongst the surveyed housing markets.

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Evaluation of coupling coordination degree and convergence behaviour of local development: A spatiotemporal analysis of all Polish municipalities over the period 2003–2019

Tomal

2021

Sustainable Cities and Society

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The impact of social participation on the efficiency of communal investment expenditure

Cited by 4 publications

References 26 publications

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

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

Housing market heterogeneity and cluster formation: evidence from Poland

Evaluation of coupling coordination degree and convergence behaviour of local development: A spatiotemporal analysis of all Polish municipalities over the period 2003–2019

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