Skip to Main Content
Can money buy green? Demographic and socioeconomic predictors of lawn-care expenditures and lawn greenness in urban residential areasAuthor(s): Weiqi Zhou; Austin Troy; J. Morgan Grove; Jennifer C. Jenkins
Source: Society and Natural Resources. 22: 744-760.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
View PDF (787.66 KB)
DescriptionIt is increasingly important to understand how household characteristics influence lawn characteristics, as lawns play an important ecological role in human-dominated landscapes. This article investigates household and neighborhood socioeconomic characteristics as predictors of residential lawn-care expenditures and lawn greenness. The study area is the Gwynns Falls watershed, which includes portions of Baltimore City and Baltimore County, MD. We examined indicators of population, social stratification (income, education and race), lifestyle behavior, and housing age as predictors of lawn-care expenditures and lawn greenness. We also tested the potential of PRIZM market cluster data as predictors for these two dependent variables. Lawn greenness was found to be significantly associated with lawn-care expenditures, but with a relatively weak positive correlation. We also found lifestyle behavior indicators to be the best predictors for both dependent variables. PRIZM data, especially the lifestyle segmentation, also proved to be useful predictors for both.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationZhou, Weiqi; Troy, Austin; Grove, J. Morgan; Jenkins, Jennifer C. 2009. Can money buy green? Demographic and socioeconomic predictors of lawn-care expenditures and lawn greenness in urban residential areas. Society and Natural Resources. 22: 744-760.
KeywordsBaltimore, lifestyle behavior, long-term ecological research (LTER), NDVI, population, social stratification, urban ecology, urban lawn
- Assessing the homogenization of urban land management with an application to US residential lawn care
- Modeling residential lawn fertilization practices: integrating high resolution remote sensing with socioeconomic data
- Characterization of Households and its Implications for the Vegetation of Urban Ecosystems
XML: View XML