scholarly journals Investigating the Impact of Airport Noise and Land Use Restrictions on House Prices: Evidence from Selected Regional Airports in Poland

2019 ◽  
Vol 11 (2) ◽  
pp. 412 ◽  
Author(s):  
Jacek Batóg ◽  
Iwona Foryś ◽  
Radosław Gaca ◽  
Michał Głuszak ◽  
Jan Konowalczuk

In this paper, we investigate the influence of airport operation on property prices. In this research, we apply spatial hedonic regression and a difference-in-differences approach to address the introduction of new land use restrictions on property prices. We use data on housing transactions from two housing submarkets around regional airports in Poland. The results suggest that the introduction of land use restrictions impacts property prices. In general, as expected, more rigid restrictions translate into higher discounts in property prices. This research contributes to the limited knowledge on the impact of the introduction of land use restrictions on property prices, as most previous papers have focused solely on the impact of noise. These findings must be treated with caution, as some estimates were not statistically significant, mainly due to limited sample size. The research has important policy implications. Growing airports in Poland face tensions between economic and environmental sustainability. Currently, airports in Poland are obliged to limit their environmental impact by creating limited use areas related to the aircraft related noise while being responsible for property value loss related to these restrictions. As a consequence, most regional airports face significant compensations to property owners.

Author(s):  
Chengming Li ◽  
Kuo Zhang ◽  
Zhaoxin Dai ◽  
Zhaoting Ma ◽  
Xiaoli Liu

As air pollution becomes highly focused in China, the accurate identification of its influencing factors is critical for achieving effective control and targeted environmental governance. Land-use distribution is one of the key factors affecting air quality, and research on the impact of land-use distribution on air pollution has drawn wide attention. However, considerable studies have mostly used linear regression models, which fail to capture the nonlinear effects of land-use distribution on PM2.5 (fine particulate matter with a diameter less than or equal to 2.5 microns) and to show how impacts on PM2.5 vary with land-use magnitudes. In addition, related studies have generally focused on annual analyses, ignoring the seasonal variability of the impact of land-use distribution on PM2.5, thus leading to possible estimation biases for PM2.5. This study was designed to address these issues and assess the impacts of land-use distribution on PM2.5 in Weifang, China. A machine learning statistical model, the boosted regression tree (BRT), was applied to measure nonlinear effects of land-use distribution on PM2.5, capture how land-use magnitude impacts PM2.5 across different seasons, and explore the policy implications for urban planning. The main conclusions are that the air quality will significantly improve with an increase in grassland and forest area, especially below 8% and 20%, respectively. When the distribution of construction land is greater than around 10%, the PM2.5 pollution can be seriously substantially increased with the increment of their areas. The impact of gardens and farmland presents seasonal characteristics. It is noted that as the weather becomes colder, the inhibitory effect of vegetation distribution on the PM2.5 concentration gradually decreases, while the positive impacts of artificial surface distributions, such as construction land and roads, are aggravated because leaves drop off in autumn (September–November) and winter (December–February). According to the findings of this study, it is recommended that Weifang should strengthen pollution control in winter, for instance, expand the coverage areas of evergreen vegetation like Pinus bungeana Zucc. and Euonymus japonicus Thunb, and increase the width and numbers of branches connecting different main roads. The findings also provide quantitative and optimal land-use planning and strategies to minimize PM2.5 pollution, referring to the status of regional urbanization and greening construction.


10.1068/b3023 ◽  
2004 ◽  
Vol 31 (4) ◽  
pp. 539-567 ◽  
Author(s):  
Yan Kestens ◽  
Marius Thériault ◽  
François Des Rosiers

1993 ◽  
Vol 25 (7) ◽  
pp. 1021-1051 ◽  
Author(s):  
G Bramley

The impact of the British style of land-use planning upon the outcomes of private housing development and the housing market is examined. A unique cross-sectional database is constructed, and the medium-term elasticity of new housebuilding supply is estimated as a locally variable function of prices, costs, and land supply, with an explicit planning function. The model developed enables quantified projections to be made of the effect of specified changes in planning policy. The policy changes examined include large-scale increases in the volume of land released, changes in the mix of land released, and the use of planning agreements to pay for infrastructure or social housing.


2017 ◽  
Vol 21 (3) ◽  
pp. 296-306 ◽  
Author(s):  
Le MA ◽  
Chunlu LIU ◽  
Richard REED

Research into the links between construction output and broader economic development has provided valuable references for inducing theoretical, empirical and policy implications. However, the impact of the construction and property markets on the construction output have not been fully addressed yet. This research argues an inter-market equilibrium between residential construction output and the related markets in terms of construction and property prices. Implementing the panel error correction model, longitudinal data of Australian capital cities is used to identify the inter-market equilibrium and associated dynamic patterns across the observed cities. Subsequently, by comparing the simulated and actual residential construction outputs, the estimated findings are evaluated. The inter-market equilibriums in the Australian capital cities appeared in geographic-spatial clusters while the economy-scale-spatial clusters were observed in dynamic patterns.


Urban Studies ◽  
2020 ◽  
pp. 004209802094060
Author(s):  
Ryan Greenaway-McGrevy ◽  
Gail Pacheco ◽  
Kade Sorensen

We study the short-run effects of a large-scale upzoning on house prices and redevelopment premiums in Auckland, New Zealand. Upzoning significantly increases the redevelopment premium but the overall effect on house prices depends on the economic potential for site redevelopment, with underdeveloped properties appreciating relative to intensively developed properties. Notably, intensively developed properties decrease in value relative to similar dwellings that were not upzoned, showing that the large-scale upzoning had an immediate depreciative effect on pre-existing intensive housing. Our results show that the economic potential for site redevelopment is fundamental to understanding the impact of changes in land use regulations on property values.


2021 ◽  
Author(s):  
Azzeddine Bellout ◽  
Eric Vaz ◽  
Bruno Damásio

Abstract Monitoring change detection in urban land use/land use is essential as it pertains to one of the main environmental change drivers, leading to urban pressures impacting cultivated areas. Algiers' eastern area is one of the critical areas of Algiers' state, and it is affected by the growth and development of the composing residential areas. This research aims to analyze the current issues, including aspects of land use, residential patterns, residential development directions, and characteristics of the communities in residential growth areas. We used Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data as the primary data source, and maps and statistical data as the secondary. The annual growth of urban land has been studied over the past six years in Algiers' eastern area. Descriptive statistics and spatial analysis allowed assessing the data further. Results indicate that there has been a 100% expansion of the residential regions during the decade from 2014 to 2020. Population in the expansion areas increased by 2%. Future studies should understand the impact of rapid urban lands on social, economic, and environmental sustainability. It will also close the gap between currently available data sources, especially regarding the lack of reliable data and environmental and urban planning for Algiers' municipality. This aids directly in developing experimental models to predict future changes of land with great statistical confidence.


Author(s):  
B. Bouchachi ◽  
Y. Zhong

Monitoring the Urban Land Cover/Land Use change detection is important as one of the main driving forces of environmental change because Urbanization is the biggest changes in form of Land, resulting in a decrease in cultivated areas. Using remote sensing ability to solve land resources problems. The purpose of this research is to map the urban areas at different times to monitor and predict possible urban changes, were studied the annual growth urban land during the last 29 years in Algiers City. Improving the productiveness of long-term training in land mapping, were have developed an approach by the following steps: 1) pre-processing for improvement of image characteristics; 2) extract training sample candidates based on the developed methods; and 3) Derive maps and analyzed of Algiers City on an annual basis from 1987 to 2016 using a Supervised Classifier Support Vector Machine (SVMs). Our result shows that the strategy of urban land followed in the region of Algiers City, developed areas mostly were extended to East, West, and South of Central Regions. The urban growth rate is linked with National Office of Statistics data. Future studies are required to understand the impact of urban rapid lands on social, economy and environmental sustainability, it will also close the gap in data of urbanism available, especially on the lack of reliable data, environmental and urban planning for each municipality in Algiers, develop experimental models to predict future land changes with statistically significant confidence.


2021 ◽  
Vol 5 (3) ◽  
pp. 3-17
Author(s):  
Afiruddin Tapa ◽  
Nurul Wazien Mohd Noor

In order to determine the impact of transportation and walkability as one of the important smart growth principles in creating economic value, this study examines the impact of transportation and walkability on Residential Property Value in Shah Alam, Selangor, Malaysia neighborhoods. Based on secondary data collected on Brickz.com, a hedonic regression model was constructed to estimate median Residential Property Value in Shah Alam, Selangor for the Residential Property Value assessment. The model's findings demonstrate that transportation and walkability factors have less impact on estimated Residential Property Value than other residential structure characteristics such as number of floors, number of bedrooms, and land area. Only three variables from the Structure Characteristic were statistically significant in this study: Structure Characteristic no of the floor, Structure Characteristic No of the Bedroom and Structure Characteristic Land Area. Consequently, all transportation and walkability are insignificant towards residential house prices. This shows that there are still ways to increase house prices through attractive house structure planning. With this, the formation of an attractive house structure in development planning is an important aspect in increasing the demand for house prices while rising house prices efficiently. The adoption of the appropriate use of public transport uses the principle of good growth to achieve added value and improve the overall quality of life in the neighborhood.


Author(s):  
Shiau Hui Kok ◽  
Normaz Wana Ismail

In this paper, we examine the relationship between house price and Islamicbank stability in Malaysia. In particular, in relating to Islamic bank stability toMalaysian house price changes, we evaluate the nature of the relationship from theperspective of nonlinearities. The Autoregressive Distributed Lag (ARDL) modelis applied to a sample that consists of 9 Islamic banks in Malaysia for the periodof 2000-2016. Our results indicate that there is an inverted U-shaped relationshipbetween house price and Islamic bank stability in the long run. Meanwhile, therelationship is insignificant in the short-run. To put it differently, initially, thehigher house prices, the more stable the bank. Then, the impact of house prices onbank stability becomes negative when house prices surpass the threshold point.As far as the bank-specific characteristics are concerned, the cost to income ratiois found to significantly and negatively related to the bank stability. Such a resulthas policy implications in which it is crucial for achieving balance in the housingmarket, and efficiently managing the cost is equally important to ensure Islamicbank soundness.


Author(s):  
Lassaad Ben Mahjoub ◽  
Ines Amara

PurposeThis paper aims to examine the effect of the shareholder governance on environmental sustainability by the moderating effect of some cultural factors.Design/methodology/approachThe authors have studied the extent of sustainability by continent. On the other hand, the authors have conducted three empirical models that deal with the effect of shareholder governance on environmental sustainability and also with the moderating effect of cultural factors.FindingsUsing a sample of 140 countries during the year 2018, the authors find a notable and positive effect of the shareholder governance on environmental sustainability. Regarding the role of cultural factors, the authors found that the factor gender parity is more important than other factors.Practical implicationsThe findings have policy implications for governments aiming to combat environmental sustainability and shareholder governance.Originality/valueThis research has approached cultural factors in a different context, which is an eastern country, which are completely different from those of western countries. On the other hand, the subject of sustainability is not sufficiently threated in this country (Saudi Arabia).


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