Public land leases, reforms and (in)stability of municipal revenues in Poland – The case of Poznan city

Cities, Journal Year: 2024, Volume and Issue: 148, P. 104877 - 104877

Published: Feb. 17, 2024

The stability of municipal revenues is crucial for long-term socio-economic planning at the city level. This paper presents impact changes in legal regulations mandating transformation perpetual usufruct into ownership on preferential terms. Using micro-level information transactions and plots handed over single-family housing, we determined potential losses City Poznan caused by new regulations. research uses mass appraisal models to assess fees related land value properties affected transformation, scenario analysis, Monte-Carlo simulation evaluate consequences change regulation long run. results indicate that municipalities are deprived relatively stable after reform. In Poznan, net present revenue ranged from −327.3 mln PLN −419.6 (74.6 % 92.9 reduction baseline revenues, respectively). Incorporating provisions allowing developed be converted housing less financially beneficial than holders. Additionally, it significantly manages strategic control local development within reduces resources. attempts narrow gap knowledge about role leases revenues.

Language: Английский

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Multiscale geographically weighted quantile regression

Spatial Economic Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: Jan. 31, 2025

Spatial heterogeneity across multiple scales is a common issue in various disciplines including economics and public health. Geographically weighted quantile regression (GWQR) addresses this by assuming the same spatial scale for all modelled processes at each quantile. This paper introduces multiscale geographically (MGWQR) that allows different to operate entire response distribution. The methodology estimates optimal bandwidths of distribution using back-fitting algorithm, with selection done within algorithm golden search optimisation method. Simulation study real-world example, considers analysing impacts set socioeconomic climate variables on children's stunting, show MGWQR outperforms GWQR QR models.

Language: Английский

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Examining Rental Housing Market Segmentation in Chinese Megacities: The Case of Beijing

Applied Spatial Analysis and Policy, Journal Year: 2025, Volume and Issue: 18(1)

Published: Feb. 1, 2025

Language: Английский

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Spatiotemporal Evolution and Influencing Factors of Residential Prices in Zhengzhou

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 667 - 667

Published: Feb. 21, 2025

The dynamic fluctuations in the real estate market significantly impact development of national economy. Investigating spatiotemporal characteristics housing prices can assist government formulating rational regulatory policies. Taking Zhengzhou City as research subject, this study analyzed based on price data and POI (Point Interest) from January 2022 to March 2024, utilizing a spatial scale 500 m × grids. A hedonic model geographically weighted regression (GWR) were constructed examine mechanisms 12 influencing factors prices. results indicate that eastern part are higher than those west, with an overall declining trend observed Zhengzhou’s Among factors, age house exerts greatest prices, while finance has least influence. GWR demonstrates superior fitting performance compared model. exhibit heterogeneity. This provides valuable insights for relevant departments City, contributing optimization urban planning regulation market.

Language: Английский

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A spatial semiparametric M-quantile regression for hedonic price modelling

AStA Advances in Statistical Analysis, Journal Year: 2023, Volume and Issue: 108(1), P. 159 - 183

Published: March 30, 2023

Abstract This paper proposes an M-quantile regression approach to address the heterogeneity of housing market in a modern European city. We show how modelling is rich and flexible tool for empirical price data analysis, allowing us obtain robust estimation hedonic function whilst accounting different sources prices. The suggested methodology can generally be used analyse nonlinear interactions between prices predictors. In particular, we develop spatial semiparametric model capture both potential effects cultural environment on pricing trends. cases, nonlinearity introduced into using appropriate bases functions. implicit associated with variable that measures amenities determined this framework. Our findings effect several attributes urban differs significantly across response distribution, suggesting buyers lower-priced properties behave differently than higher-priced properties.

Language: Английский

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Spatial valuation of urban green lungs: Unveiling the true worth of urban parks through MGWR in Chengdu, China

Land Use Policy, Journal Year: 2024, Volume and Issue: 145, P. 107294 - 107294

Published: July 31, 2024

Language: Английский

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Varying coefficient panel data models and methods under correlated error components: Application to disparities in mental health services in England

Regional Science and Urban Economics, Journal Year: 2024, Volume and Issue: 106, P. 104009 - 104009

Published: April 12, 2024

Language: Английский

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Allometric evolution between economic growth and carbon emissions and its driving factors in the Yangtze River Delta region

Asia-Pacific Journal of Regional Science, Journal Year: 2024, Volume and Issue: 8(2), P. 523 - 549

Published: April 14, 2024

Language: Английский

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Social Vulnerability and COVID-19 Pandemic Outcomes: Evidence from Spatial Quantile Regression

Review of Regional Studies, Journal Year: 2024, Volume and Issue: 54(1)

Published: April 30, 2024

This paper evaluates the empirical relevance of a prominent social vulnerability measure to local economic and public health outcomes at two distinct stages COVID-19 pandemic. In contrast traditional least-squares regression, conditional quantile regression offers stronger evidence in support for predicting pandemic’s uneven devastation death tolls across United States. An extension spatial autoregressive geographically weighted model reveals varying role within broad regions that were exposed different levels pandemic impacts.

Language: Английский

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Effects of the COVID-19 pandemic and the war in Ukraine on the local housing rental market in Poland

JOURNAL OF INTERNATIONAL STUDIES, Journal Year: 2024, Volume and Issue: 17(2), P. 298 - 323

Published: June 1, 2024

The COVID-19 pandemic that started in early 2020 and the Russian invasion of Ukraine February 2022 caused multidimensional shocks to housing market. Understanding their micro-level impact is crucial optimizing future responses similar shocks, designing sustainable urban socio-economic policies, investing. Based on hedonic Spatial Error Model for local rental market Poland, during pandemic, valuation leisure-related apartment characteristics (the availability a balcony private garden) increased. As tenants spent more time at home or neighbourhood, proximity green areas became increasingly important, relevance university buildings decreased. Then, amidst war, reluctance use gas heating has been noticed. Combined with observed price premium location apartments revitalised tenement houses, this means modernisation historic stock not only ecologically desired, but also capitalised achieved rents. rent change throughout estimated -6.7%, while war-related crisis, +29.7%. Finally, low sensitivity indices detected changes rent-setting factors found.

Language: Английский

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