The effects of land price in the peri-urban fringe of Mexico City: Environmental amenities for informal land parcel purchasers

Urban Studies ◽  
2020 ◽  
pp. 004209802096096
Author(s):  
Estebania Teyeliz Martínez-Jiménez ◽  
Julie Le Gallo ◽  
Enrique Pérez-Campuzano ◽  
Alonso Aguilar Ibarra
Keyword(s):  
Mexico City ◽  
Ordinary Least Squares ◽  
Hedonic Pricing ◽  
City Centre ◽  
Land Markets ◽  
Environmental Amenities ◽  
Land Price ◽  
Piped Water ◽  
Protected Natural Area ◽  
Basic Services

In many developing countries, urban growth is characterised by the emergence of informal housing at the periphery. Nevertheless, there is little evidence based on data from informal land markets and, in general, studies focusing on such markets often neglect environmental factors. Therefore, to contribute to these research gaps, this article aims to enhance our understanding of land markets in informal land parcels and their relationship to environmental amenities, by providing empirical evidence from Mexico City. The article estimates a hedonic pricing model using robust ordinary least squares with a SHAC (Spatial Heteroskedasticity and Autocorrelation Consistent) inference, including structural, environmental, neighbourhood and accessibility features. Results provide empirical insights regarding the way this land market behaves in the peri-urban area. Our findings reveal that informal land parcel purchasers are willing to pay for basic services such as access to piped water, proximity to schools and accessibility features such as being close to city centre, motorways and underground stations. Although a positive relationship between land price and distance to the nearest forest or Protected Natural Area is highlighted, it is low, meaning that individuals are largely ambivalent about environmental amenities. Therefore, the problem of irregular settlements could be approached from two different angles. Firstly, informal land buyers will not desist from invading and modifying natural areas without a comprehensive urban and environmental policy, oriented towards changing the perception of green areas as potential urbanisation opportunities. Secondly, public policy needs to solve the housing supply crisis, considering the characteristics presented here.

scholarly journals Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-In-Differences (SM-DID) Approach

2021 ◽  
Vol 13 (2) ◽  
pp. 804
Author(s):  
Jean Dubé ◽  
Maha AbdelHalim ◽  
Nicolas Devaux
Keyword(s):  
Housing Price ◽  
Hedonic Pricing ◽  
Environmental Amenities ◽  
Sale Price ◽  
Difference In Differences ◽  
Hedonic Pricing Model ◽  
The Difference ◽  
And Control ◽  
The Impact ◽  
The City

Many applications have relied on the hedonic pricing model (HPM) to measure the willingness-to-pay (WTP) for urban externalities and natural disasters. The classic HPM regresses housing price on a complete list of attributes/characteristics that include spatial or environmental amenities (or disamenities), such as floods, to retrieve the gradients of the market (marginal) WTP for such externalities. The aim of this paper is to propose an innovative methodological framework that extends the causal relations based on a spatial matching difference-in-differences (SM-DID) estimator, and which attempts to calculate the difference between sale price for similar goods within “treated” and “control” groups. To demonstrate the potential of the proposed spatial matching method, the researchers present an empirical investigation based on the case of a flood event recorded in the city of Laval (Québec, Canada) in 1998, using information on transactions occurring between 1995 and 2001. The research results show that the impact of flooding brings a negative premium on the housing price of about 20,000$ Canadian (CAN).

Urban expansion into a protected natural area in Mexico City: alternative management scenarios

2013 ◽  
Vol 56 (3) ◽  
pp. 398-411 ◽  
Author(s):  
Yair Merlín-Uribe ◽  
Armando Contreras-Hernández ◽  
Marta Astier-Calderón ◽  
Olaf P. Jensen ◽  
Rigel Zaragoza ◽  
...  
Keyword(s):  
Mexico City ◽  
Urban Expansion ◽  
Natural Area ◽  
Management Scenarios ◽  
Alternative Management ◽  
Protected Natural Area

scholarly journals Valuing Environmental Amenities across Space: A Geographically Weighted Regression of Housing Preferences in Greenville County, SC

Land ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 147
Author(s):  
Hiebert ◽  
Allen
Keyword(s):  
Geographically Weighted Regression ◽  
City Planning ◽  
Spatial Dynamics ◽  
Ordinary Least Squares ◽  
Hedonic Model ◽  
Weighted Regression ◽  
Hedonic Price ◽  
Environmental Amenities ◽  
Forested Areas ◽  
The Impact

As global consumption and development rates continue to grow, there will be persistent stress placed on public goods, namely environmental amenities. Urban sprawl and development places pressure on forested areas, as they are often displaced or degraded in the name of economic development. This is problematic because environmental amenities are valued by the public, but traditional market analysis typically obscures the value of these goods and services that are not explicitly traded in a market setting. This research examines the non-market value of environmental amenities in Greenville County, SC, by utilizing a hedonic price model of home sale data in 2011. We overlaid home sale data with 2011 National Land Cover Data to estimate the value of a forest view, proximity to a forest, and proximity to agriculture on the value of homes. We then ran two regression models, an ordinary least squares (OLS) and a geographically weighted regression to compare the impact of space on the hedonic model variables. Results show that citizens in Greenville County are willing to pay for environmental amenities, particularly views of a forest and proximity to forested and agricultural areas. However, the impact and directionality of these variables differ greatly across space. These findings suggest the need for an integration of spatial dynamics into environmental valuation estimates to inform conservation policy and intentional city planning.

scholarly journals THE POWER OF ACCESSIBILITY TO LAND PRICE IN SEMARANG URBAN CORRIDORS, INDONESIA

2018 ◽  
Vol 16 ◽  
Author(s):  
Anita Ratnasari Rakhmatulloh ◽  
Imam Buchori ◽  
Wisnu Pradoto ◽  
Bambang Riyanto
Keyword(s):  
Price Change ◽  
Statistical Correlation ◽  
City Centre ◽  
Land Values ◽  
Land Price ◽  
Land Prices ◽  
Shopping Centre ◽  
Toll Road ◽  
Commercial Area ◽  
The City

Urban land demand tends to keep increasing as a result of economic and population growths. The high intensity of activity will bring changes to land value. The corridors of Semarang - Ungaran and Semarang - Mranggen have significant differences in land values despite being at relatively the same distance to city centre. Similarly, the rate of land price change in these two corridors are also different. The study aims to examine and prove the effect of distance to city centre toward land price in downtown areas by employing statistical correlation analysis and accessibility calculation. The result reveals that distance to city centre has no longer effect land prices. It was found that the farther from the city centre the land prices decreases gradually but increases at road nodes that connect to the trip generation points such as toll road gate, residential area and commercial area or shopping centre.

scholarly journals Predicting the rental value of houses in household surveys in Tanzania, Uganda and Malawi: Evaluations of hedonic pricing and machine learning approaches

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0244953
Author(s):  
Weldensie T. Embaye ◽  
Yacob Abrehe Zereyesus ◽  
Bowen Chen
Keyword(s):  
Machine Learning ◽  
Significant Proportion ◽  
Ordinary Least Squares ◽  
Hedonic Pricing ◽  
Living Standard ◽  
Accurate Estimation ◽  
Household Surveys ◽  
Data Set ◽  
Housing Value ◽  
Rental Value

Housing value is a major component of the aggregate expenditure used in the analyses of welfare status of households in the development economics literature. Therefore, an accurate estimation of housing services is important to obtain the value of housing in household surveys. Data show that a significant proportion of households in a typical Living Standard Measurement Survey (LSMS), adopted by the Word Bank and others, are self-owned. The standard approach to predict the housing value for such surveys is based on the rental cost of the house. A hedonic pricing applying an Ordinary Least Squares (OLS) method is normally used to predict rental values. The literature shows that Machine Learning (ML) methods, shown to uncover generalizable patterns based on a given data, have better predictive power over OLS applied in other valuation exercises. We examined whether or not a class of ML methods (e.g. Ridge, LASSO, Tree, Bagging, Random Forest, and Boosting) provided superior prediction of rental value of housing over OLS methods accounting for spatial autocorrelations using household level survey data from Uganda, Tanzania, and Malawi, across multiple years. Our results showed that the Machine Learning methods (Boosting, Bagging, Forest, Ridge and LASSO) are the best models in predicting house values using out-of-sample data set for all the countries and all the years. On the other hand, Tree regression underperformed relative to the various OLS models, over the same data sets. With the availability of abundant data and better computing power, ML methods provide viable alternative to predicting housing values in household surveys.

scholarly journals Commuting inequality, role of urban structure, and identification of disadvantaged groups in the Mexico City metropolitan area

2020 ◽  
Vol 13 (1) ◽  
pp. 159-183
Author(s):  
Dorian Antonio Bautista-Hernández
Keyword(s):  
Mexico City ◽  
Metropolitan Area ◽  
Public Transportation ◽  
Public Transit ◽  
Transport Model ◽  
Ordinary Least Squares ◽  
Social Dimension ◽  
Indigenous Populations ◽  
Urban Structure ◽  
Travel Times

Cities in developing countries are undergoing a vigorous urbanization process marked by deep social and economic inequalities, which are reflected in transportation. This study analyzes one-way Average Commute Time (ACT) in the Mexico City Metropolitan Area, specifically regarding its spatial pattern in relation to the urban center and the differences between cars and public transportation. It also explores the urban structure drivers as well as the social dimension. Results show that ACT is lower for car drivers than for transit users. The curve depicting the relationship between ACT and distance to the center differs between private car and public transit, being semi-flat for the former and an inverted U-shaped curve for the latter. There is a higher spatial correlation for transit ACT than for car ACT. Based on the results from Ordinary Least Squares (OLS) and spatial regression models, travel times from TRANUS transport model show that job accessibility plays a significantly inverse role in determining ACT for transit users and car users alike. However, this response is not consistent according to observed travel times from the 2017 Household Origin Destination Survey (HODS17). In regard to population groups, migrants and indigenous populations display significantly longer commute times, especially when using public transit, providing evidence that these groups are disadvantaged.

scholarly journals Geo-spatial modeling of access to water and sanitation in Nigeria

2019 ◽  
Vol 9 (2) ◽  
pp. 258-280 ◽  
Author(s):  
Benson Ajisegiri ◽  
Luis A. Andres ◽  
Samir Bhatt ◽  
Basab Dasgupta ◽  
Juan A. Echenique ◽  
...  
Keyword(s):  
Global Network ◽  
High Concentration ◽  
Open Defecation ◽  
Water And Sanitation ◽  
Sanitation Services ◽  
Piped Water ◽  
Urban Rural ◽  
Improved Sanitation ◽  
Access To Water ◽  
Basic Services

Abstract The paper presents the development and implementation of a geo-spatial model for mapping populations’ access to specified types of water and sanitation services in Nigeria. The analysis uses geo-referenced, population-representative data from the National Water and Sanitation Survey 2015, along with relevant geo-spatial covariates. The model generates predictions for levels of access to seven indicators of water and sanitation services across Nigeria at a resolution of 1 × 1 km2. Overall, the findings suggest a sharp urban–rural divide in terms of access to improved water, basic water, and improved water on premises, a low availability of piped water on premises and of sewerage systems throughout the country, a high concentration of improved sanitation in select states, and low rates of nationwide open defecation, with a few pockets of high rates of open defecation in the central and southern non-coastal regions. Predictions promise to hone the targeting of policies meant to improve access to basic services in various regions of the country. This article has been made Open Access thanks to the generous support of a global network of libraries as part of the Knowledge Unlatched Select initiative.

scholarly journals The value of rural landscape in Aquitania (Colombia): application of spatial hedonic models in real estate analysis

2016 ◽  
Vol 12 (76) ◽  
pp. 155
Author(s):  
Ana Milena Plata Fajardo ◽  
Julio Cañón ◽  
Raffaele Lafortezza
Keyword(s):  
Real Estate ◽  
Structural Characteristics ◽  
Economic Value ◽  
Ordinary Least Squares ◽  
Rural Landscape ◽  
Environmental Amenities ◽  
Spatial Error ◽  
Spatial Lag Model ◽  
Lag Model ◽  
Real Estate Economics

This study addresses the marginal economic value of environmental amenities, structural characteristics, neighborhood facilities, and accessibility on property in Aquitania - Colombia. Based on 400 assessed values of rural land property and on 21 characteristic variables of land amenities and facilities, the study compares three models: Ordinary Least Squares (ols), Spatial Lag Model (slm), and Spatial Error Model (sem). Results show that both slm and sem outperformed ols in identifying the significance of real estate attributes. Results shows that farmers value environmental amenities more than other attributes, being implicit the greater value of cattle over agriculture (onion) in land use. These models may help to support decisions in rural real estate economics.

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