Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?

Ali, Kamar; Partridge, Mark D.; Olfert, M. Rose

doi:10.1177/0160017607301609

Cited by 103 publications

(81 citation statements)

References 24 publications

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“…The implication of the GWR models used in this study is that uniform policy interventions may not work due to significant regional variations in environmental and socioeconomic factors for allergic diseases. 47 Only the prevalence of atopic dermatitis was significantly associated with the level of PM10 interpolated at the sub-district level in this study. In general, sensitization to allergens could play a major role in developing allergic diseases.…”

Section: Discussionmentioning

confidence: 45%

GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy

Seo

Kim

Min

et al. 2016

Allergy Asthma Immunol Res

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This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Purpose:The role of PM10 in the development of allergic diseases remains controversial among epidemiological studies, partly due to the inability to control for spatial variations in large-scale risk factors. This study aims to investigate spatial correspondence between the level of PM10 and allergic diseases at the sub-district level in Seoul, Korea, in order to evaluate whether the impact of PM10 is observable and spatially varies across the subdistricts. Methods: PM10 measurements at 25 monitoring stations in the city were interpolated to 424 sub-districts where annual inpatient and outpatient count data for 3 types of allergic diseases (atopic dermatitis, asthma, and allergic rhinitis) were collected. We estimated multiple ordinary least square regression models to examine the association of the PM10 level with each of the allergic diseases, controlling for various sub-district level covariates. Geographically weighted regression (GWR) models were conducted to evaluate how the impact of PM10 varies across the sub-districts. Results: PM10 was found to be a significant predictor of atopic dermatitis patient count (P<0.01), with greater association when spatially interpolated at the sub-district level. No significant effect of PM10 was observed on allergic rhinitis and asthma when socioeconomic factors were controlled for. GWR models revealed spatial variation of PM10 effects on atopic dermatitis across the sub-districts in Seoul. The relationship of PM10 levels to atopic dermatitis patient counts is found to be significant only in the Gangbuk region (P<0.01), along with other covariates including average land value, poverty rate, level of education and apartment rate (P<0.01). Conclusions: Our findings imply that PM10 effects on allergic diseases might not be consistent throughout Seoul. GIS-based spatial modeling techniques could play a role in evaluating spatial variation of air pollution impacts on allergic diseases at the sub-district level, which could provide valuable guidelines for environmental and public health policymakers.

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Section: Discussionmentioning

confidence: 45%

GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy

Seo

Kim

Min

et al. 2016

Allergy Asthma Immunol Res

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“…These modeling techniques however are argued to be better suited for local policy decisions with heterogeneity across neighborhoods not accounted for in global models (Ali et al 2007). Bitter et al (2007), Cellmer (2012) and Yu (2007) estimate GWR models on the standard set of housing characteristics and find significant spatial variation in housing prices across locations and gain model improvements by using localized techniques.…”

Section: Existing Studiesmentioning

confidence: 99%

The effects of cultural heritage on residential property values: Evidence from Lisbon, Portugal

Franco

Macdonald

2018

Regional Science and Urban Economics

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This paper examines the impact of historic amenities on residential housing prices in the city of Lisbon, Portugal. Our study is directed towards identifying the spatial variation of amenity values for churches, palaces, lithic (stone) architecture and other historic amenities via the housing market, making use of both global and local spatial hedonic models.Our empirical evidence reveals that different types of historic and landmark amenities provide different housing premiums. While having a local non-landmark church within 100 meters increases housing prices by approximately 4.2%, higher concentrations of non-landmark churches within 1000 meters yield negative effects in the order of 0.1% of prices with landmark churches having a greater negative impact around 3.4%. In contrast, higher concentration of both landmark and non-landmark lithic structures positively influence housing prices in the order of 2.9% and 0.7% respectively.Global estimates indicate a negative effect of protected zones, however this significance is lost when accounting for heterogeneity within these areas. We see that the designation of historic zones may counteract negative effects on property values of nearby neglected buildings in historic neighborhoods by setting additional regulations ensuring that dilapidated buildings do not damage the city's beauty or erode its historic heritage.Further, our results from a geographically weighted regression specification indicate the presence of spatial non-stationarity in the effects of different historic amenities across the city of Lisbon with variation between historic and more modern areas.

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“…Thus, it is not only computationally intensive, but also makes it difficult to report on all GWR estimates. Third, since samples overlap during the estimation and statistical analysis, the results should be treated with caution (see Ali, Partridge and Olfert, 2007;Li, et al, 2011).…”

Section: Research Design and Datamentioning

confidence: 99%

Spatial Heterogeneity, Broadband, and New Firm Formation

Parajuli

Haynes

2017

QIP Journal

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Purpose: This paper examines the spatial heterogeneity associated with broadband Internet and new firm formation in a number of U.S. states. Methodology/Approach: Both ordinary least-squares regression and Geographically Weighted Regression are used for the estimation purpose. Findings:The global coefficient estimates of ordinary least-squares regression account for the marginal change in a phenomenon, but such a global measure cannot reveal the locally-varying dynamics. Using Geographically Weighted Regression, it was found that at the aggregate and economic sector levels, the association between single-unit firm births and the provision of broadband Internet varies across counties in Florida and Ohio.Originality/Value of paper: There are numerous studies on broadband Internet in the U.S., but this is the first that explicitly examines broadband provision and new firm formation by taking into account spatial heterogeneity across countries. Category: Research paper

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Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?

Cited by 103 publications

References 24 publications

GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy

GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy

The effects of cultural heritage on residential property values: Evidence from Lisbon, Portugal

Spatial Heterogeneity, Broadband, and New Firm Formation

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