scholarly journals The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland

2020 ◽  
Vol 12 (19) ◽  
pp. 7928
Author(s):  
Mirosław Bełej ◽  
Radosław Cellmer ◽  
Michał Głuszak
Keyword(s):  
Negative Impact ◽  
House Prices ◽  
Research Result ◽  
External Noise ◽  
Multiple Regression Model ◽  
Geographical Information ◽  
Single Family ◽  
Spatial Autoregressive ◽  
The Impact ◽  
Family House

Airports in Poland are obliged to observe the sustainable development principle and therefore to reduce their environmental impact by creating so-called limited use areas (LUA) related to aircraft-generated noise. The research authors analyzed airports’ impact on the prices of single-family homes located in the vicinity of airports. The LUA is therefore defined as the area designated to study the airport’s specific impact on the single-family housing market. This is a formal limit which determines the examination of price changes and the decision-making conditions of market participants. This methodical approach is justified because no excessive noise is expected outside the LUA. Therefore, two markets in the vicinity of airports were examined. One is in an LUA which is closer to the airport, and the other market is outside the LUA where external noise effects are not present. Thus, we consider that real estate located outside the LUA is not subject to a significant negative impact from the airport. The study covered the Gdańsk Lech Walesa Airport and the Warsaw Chopin Airport in Poland in adjacent areas with the research time horizon of 2013–2017. The study examined single-family house prices. We used a time series analysis, a classic multiple regression model, a spatial autoregressive model, and geographically weighted regression models in our research. Additionally, Geographical Information System (GIS) tools were used to visualize the results of our study. The research result was to demonstrate different impact levels of airports on the prices of single-family houses located in limited-use areas in Gdańsk and Warsaw. This research carries significant implications for the general public and airports’ economic decisions in resolving conflicts between the airport and residential property owners in airports’ vicinities.

The Impact of Surrounding Land Use and Vegetation on Single-Family House Prices

10.1068/b3023 ◽  
2004 ◽  
Vol 31 (4) ◽  
pp. 539-567 ◽  
Author(s):  
Yan Kestens ◽  
Marius Thériault ◽  
François Des Rosiers
Keyword(s):  
Land Use ◽  
House Prices ◽  
Single Family ◽  
The Impact ◽  
Family House

scholarly journals Impact of a Vicinity of Airport on the Prices of Single-Family Houses with the Use of Geospatial Analysis

2019 ◽  
Vol 8 (11) ◽  
pp. 471 ◽  
Author(s):  
Cellmer ◽  
Bełej ◽  
Konowalczuk
Keyword(s):  
Regression Model ◽  
Geographically Weighted Regression ◽  
Multiple Regression Model ◽  
Geographical Information ◽  
Weighted Regression ◽  
Single Family ◽  
Geographically Weighted Regression Model ◽  
Gis Tools ◽  
Spatial Autoregressive ◽  
Real Estate Prices

This article analyses the adverse impact of Chopin Airport in Warsaw on the prices of single-family houses located within the aircraft noise impact zone. The specific feature of the largest airport in Poland is its location within the city limits and the resulting direct surroundings of both multi- and single-family housing developments. Not only is the nuisance due to the proximity of the airport resulting from the actual exposure to an excessive noise level but also from legal restrictions associated with the Limited Use Area (LUA). The study used statistical modeling by applying a classic multiple regression model, spatial autoregressive model and geographically weighted regression model. Moreover, Geographical Information System (GIS) tools and geostatic modeling were used to visualise the results. The modeling results clearly show the significant impact of the neighborhood nuisance and the related spatial distribution of real estate prices. In addition, the geographically weighted regression model indicates that the proximity to an airport adversely affects the rate of price changes over time.

Impact of Heavy-rail-based Rapid Transit on House Prices: Evidence from the Fremont, CA, Warm Springs BART Extension Project

2020 ◽  
pp. 0739456X1989873
Author(s):  
Shishir Mathur
Keyword(s):  
Willingness To Pay ◽  
House Prices ◽  
Property Value ◽  
Rapid Transit ◽  
Single Family ◽  
Project Cost ◽  
Warm Springs ◽  
Family House ◽  
Control Distance ◽  
Heavy Rail

This study estimates households’ willingness to pay for single-family houses and condominiums/townhouses located within 2 miles of Warm Springs (WS) BART Station in Fremont, CA. The study finds that, compared to the houses sold in the control distance band (2–5 miles away), an average-priced single-family house within 2 miles of the WS BART Station was higher in price by 9 to 15 percent. The total property value increment for the single-family houses is large enough to fund the $802 million Warm Springs BART Extension Project cost five times over.

scholarly journals Assessment of the influence of FDI on the economic growth of the host country: evidence from Kazakhstan

2020 ◽  
Vol 159 ◽  
pp. 06007
Author(s):  
Dinara Rakhmatullayeva ◽  
Iliyas Kuliyev ◽  
Zhaksylyk Beisenbaiyev ◽  
Talgat Tabeyev
Keyword(s):  
Economic Growth ◽  
Regression Model ◽  
Host Country ◽  
National Economy ◽  
Positive Relationship ◽  
Negative Impact ◽  
Multiple Regression Model ◽  
Fdi Inflows ◽  
Simulation Results ◽  
The Impact

The article examines the impact of FDI inflows on the economic growth of the host country, using the Kazakhstan economy as an example. The authors attempted to assess the impact of FDI using a multiple regression model. As a measure of economic growth, Kazakhstan’s GDP data for the period 2000-2017 was used. The simulation results didn’t reveal the negative impact of FDI on economic growth, but the analysis revealed that the presence of a positive relationship is not essential for assessing the growth of the national economy.

TRAFFIC EXTERNALITIES AND SINGLE-FAMILY HOUSE PRICES*

1992 ◽  
Vol 32 (4) ◽  
pp. 487-500 ◽  
Author(s):  
William T. Hughes ◽  
C. F. Sirmans
Keyword(s):  
House Prices ◽  
Single Family ◽  
Family House

scholarly journals Preparing Households for the Oil Palm Replanting Program: Is an Empowerment Program Needed?

2021 ◽  
Vol 56 (3) ◽  
pp. 179-195
Author(s):  
Ardi Novra ◽  
Fatati ◽  
Adriani
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Household Income ◽  
Regional Economy ◽  
Negative Impact ◽  
Research Result ◽  
Community Empowerment ◽  
Intensity Level ◽  
Palm Fruit ◽  
The Impact

This article describes a new idea of how the level of intervention in household empowerment policies is based on an empirical study of the magnitude of the negative impact of the smallholder palm oil replanting (SPR) program. One of the negative impacts is the temporary loss of income (TLI) for farmer households due to the cessation of production of oil palm fruit bunches. This study aims to analyze the magnitude of the impact of the SPR program on household and regional economies as a basis for making decisions on the intensity level of community empowerment programs. The household survey research was conducted in three village centers for smallholder rubber plantations in Jambi Province, Indonesia: Purwodadi Village, Dataran Kempas, and Sungai Keruh. The research result shows that the average potential TLI in each household is IDR 2,364,644/month (equivalent to 74.55% of the oil palm household income or 39.78% of the regional economy) if replanting palm oil is carried out. Purwodadi Village is the village most vulnerable to regional economic disturbances due to the high potential for TLI, reaching 99.43% of the oil palm household income and 67.06% of the regional economy. The level of TLI is influenced by factors of age and area of old oil palm plants, the proportion of households that will undergo the replanting process of oil palm, and the level of dependence of regions on oil palm farming. Based on the research results, it can be concluded that there is still a need for innovation and expansion of empowerment programs to encourage household readiness in facing the community oil palm rejuvenation program.

scholarly journals International Real Estate Review

2020 ◽  
Vol 23 (2) ◽  
pp. 189-210
Author(s):  
Nicholas Apergis ◽  
Keyword(s):  
Natural Disasters ◽  
Negative Impact ◽  
House Prices ◽  
Panel Regression ◽  
Quantitative Easing ◽  
Real Economy ◽  
Climate Change Effects ◽  
Lower House ◽  
Mitigate Climate Change ◽  
The Impact

Given that the literature on the impact of natural disasters on house prices is highly limited, this paper combines data on natural disasters and house prices from 117 countries, which span the period 2000-2018 and a panel regression method to estimate the effects of natural disasters on house prices. The findings document that natural disasters lead to lower house prices, with the results surviving a number of robustness tests. When examining the impacts of natural disasters by type, the findings highlight that geological disasters exert the strongest (negative) impact on house prices. The results also illustrate the negative impact of those disasters on house prices when also taking the distinction between small and large disasters into account. The findings provide important implications for policymakers and property investors. Lower house prices in countries that experience natural disasters events could significantly signify lower consumption and investment (the wealth effect), with further negative spillovers to the real economy. Economic policymakers could implement low-tax policies or quantitative easing schemes to support these areas/countries. The findings exemplify the need for governments and policymakers to mitigate climate change effects on housing by adopting new and more environmentally friendly technologies and energy sources.

scholarly journals Impact of DSM on Energy Management in a Single-Family House with a Heat Pump and Photovoltaic Installation

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5476
Author(s):  
Sławomir Zator ◽  
Waldemar Skomudek
Keyword(s):  
Heat Pump ◽  
Hot Water ◽  
The Self ◽  
Photovoltaic System ◽  
Coefficient Of Performance ◽  
Single Family ◽  
Load Shifting ◽  
The Cost ◽  
The Impact ◽  
Family House

This article presents a case study of a single-family house, whose current energy source is electricity only. Nine years ago, the heat source for the heating system and domestic hot water was an oil boiler, which was changed to an air–water heat pump. Four years ago, when Poland formed the basis of the prosumer market, the first photovoltaic system was established. It was expanded in the following years. In this work are presented the impact of using a heat accumulator on the coefficient of performance of the heat pump, the self-consumption of energy from the photovoltaic system, and the cost of purchasing energy. Comparative calculations were made, with the demand-side management (DSM) active on work days, and on free days (weekends and public holidays) it was not. Attention was paid to the self-consumption factor depending on the algorithms used in an energy meter. The prosumer market in Poland was also described. The calculations described the house as having an annual energy self-consumption from photovoltaic about 6% higher than average values obtained in buildings with heat pumps. Simultaneously, due to energy storage in heat and the load shifting in the multi-zone tariff, the cost of purchasing energy was 47% lower than in a single-zone tariff (without heat storage and load shifting).

Effect of retrofit scenarios on energy performance and indoor thermal comfort of a typical single family house in different climates of Morocco

2021 ◽  
pp. 1-57
Author(s):  
Sobhy Issam ◽  
Brakez Abderrahim ◽  
Brahim Benhamou
Keyword(s):  
Thermal Comfort ◽  
Energy Performance ◽  
Cold Climate ◽  
Single Family ◽  
Indoor Thermal Comfort ◽  
Energy Needs ◽  
The One ◽  
Group B ◽  
The Impact ◽  
Family House

Abstract This paper aims at identifying the impact of three retrofit scenarios of a typical single family house on its energy performance and its indoor thermal comfort in several climates. Two of these scenarios are based on the Moroccan Thermal Regulation in Constructions (RTCM) while the third is the one proposed in this study. The climates, which range from group B to group C of the Köppen climate classification. The results show that the proposed renovation scenario allows reducing the heating load by 19-42% and the cooling load by 29-60% depending on the climate. Furthermore, the RTCM retrofit scenario leads to summer overheating in all climates. One of the main reason of this overheating is the insulation of the slab-on-grade floor as this insulation increases the annual heating/cooling energy needs of the house by 6%-10%. Moreover, the cavity wall technique was found to be the best option for external walls, instead of using high thermal insulting material, in the hot climates. The analysis of the energy performance, the thermal comfort indices and the payback periods for each retrofit scenario shows that the proposed scenario presents the best thermal performance, except for the Cold climate where the RTCM scenario is the most favorable.

scholarly journals MODELLING THE IMPACT OF WIND FARMS ON HOUSE PRICES IN THE UK

2008 ◽  
Vol 12 (4) ◽  
pp. 251-269 ◽  
Author(s):  
Sally Sims ◽  
Peter Dent ◽  
G. Reza Oskrochi
Keyword(s):  
Wind Farm ◽  
Negative Impact ◽  
House Prices ◽  
Turbine Blades ◽  
House Price ◽  
Wind Farms ◽  
Causal Link ◽  
Hedonic Pricing ◽  
The Uk ◽  
The Impact

This paper discusses the findings from a UK study to determine the likely impact of a wind farm on house prices using a hedonic pricing model. The Government's commitment to wind power has resulted in a massive increase in the number of wind farms sited in the UK. This has led to concerns that their visual and aural presence could have a negative impact on proximate house prices. This paper presents an analysis of 201sales transactions from houses situated within half a mile of a 16 turbine wind farm in Cornwall, UK. Whilst no causal link was established between the presence of the wind farm and house price, there was some evidence to suggest that both noise and flicker from the turbine blades could blight certain property and that the view of countryside enjoyed by the occupier had some value which may be affected by a wind farm. Santrauka Šiame darbe aptariami JK atlikto tyrimo rezultatai, kuriuo, taikant hedonistinį kainų modelį, siekta nustatyti galimą vėjo jėgainių poveikį namų kainoms. Vyriausybės parama vėjo energijai paskatino naujo elemento, vėjo jėgainės, atsiradimą aplinkoje; susirūpinta, ar vėjo jėgainių vaizdas ir garsas galėtų neigiamai paveikti namų kainas. Šiame darbe nagrinėjamas 201 prekybinis sandoris, susijęs su namais, pusę mylios nutolusiais nuo Bears Down, Kornvalyje (JK), esančio 16 vėjo jėgainių ūkio. Nors priežastinis ryšys tarp vėjo jėgainių ir namų kainos nepastebėtas, yra įrodymų, kad jėgainės keliamas triukšmas ir menčių mirgėjimas kai kuriems nekilnojamojo turto objektams galėtų pakenkti ir kad gyventojui patikęs kaimo vaizdas gali tapti nebepatrauklus.

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