A Study on low-income Households Residential mobility patterns

2016 ◽  
Vol 51 (7) ◽  
pp. 147
Author(s):  
Hee-Sun Joo ◽  
Su-Min Park ◽  
Chang-Mu Jung ◽  
Sang-il Kim
Urban Science ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 79
Author(s):  
Sohyun Park ◽  
Aram Yang ◽  
Hui Jeong Ha ◽  
Jinhyung Lee

Social mixing is one of the key objectives of the housing policy in OECD countries. The Low-Income Housing Tax Credit (LIHTC) program, the largest affordable housing construction program in the US since 1986, has recently set creating mixed-income communities as one of the standards. As a project-based program, LIHTC developments are likely to influence residential mobility; however, little is known about its empirical effects. This study investigated whether new LIHTC projects are effective at attracting heterogeneous income groups to LIHTC neighborhoods, thereby contributing to creating mixed-income communities. Using unique individual-level household movement data combined with origin–destination neighborhood characteristics, we developed zero-inflated negative binomial (ZINB) models to analyze the LIHTC’s impact on residential mobility patterns in Franklin County, Ohio, US, from 2011 to 2015. The results suggest that the LIHTC attracts low-income households while deterring higher-income families, and therefore the program is not proved to be effective at creating mixed-income neighborhoods.


2014 ◽  
Vol 39 (2) ◽  
pp. 14-24
Author(s):  
Katrin Großmann ◽  
Johan Buchholz ◽  
Carsten Buchmann ◽  
Christoph Hedtke ◽  
Carolin Höhnke ◽  
...  

In debates related to energy poverty, the link to questions of residential segregation remains somewhat peripheral. Because, usually, only energy-poor households are at the focus and residential mobility is not addressed, the interdependencies between households’ energy costs and the residential segregation of cities remain out of sight. Concern that energy efficiency measures could foster socio-spatial segregation in cities has recently emerged in Germany. If only households with higher incomes can afford housing with high energy efficiency standards, whereas low income households tend to choose non-refurbished but, in sum, more affordable housing stock, an increasing concentration of poor households in poor housing conditions would result. German energy efficiency and CO2 reduction policies are relatively insensitive to such questions. Using survey data from a small shrinking city in Germany, we explore how energy costs are interrelated with residential location decisions and, thus, with segregation processes and patterns. Shrinking cities represent an interesting case because, here, a decreasing demand for housing stimulates residential mobility and paves the way for dynamic reconfigurations of socio-spatial patterns. We found that energy-related aspects of homes play a role in location decisions. Low income households seek to minimize housing costs in general, paying specific attention to heating systems, thermal insulation and costs. Resulting segregation effects depend very much on where affordable and, at the same time, energy-efficient housing stock is spatially concentrated in cities. These findings should be taken into consideration for future policies on energy in existing dwellings.


2021 ◽  
Author(s):  
Christian Dustmann ◽  
Bernd Fitzenberger ◽  
Markus Zimmermann

Abstract The trend of rising income inequality in Germany since the mid-1990s is strongly amplified when considering income after housing expenditure. The income share of housing expenditure rose disproportionally for the bottom income quintile and fell for the top quintile. Factors contributing to these trends include declining relative costs of homeownership versus renting, changes in household structure, declining real incomes for low-income households, and residential mobility towards larger cities. Younger cohorts spend more on housing and save less than older cohorts did at the same age, which will affect future wealth accumulation, particularly at the bottom of the income distribution.


2011 ◽  
Author(s):  
Viverita . ◽  
Ririen Setiati Rianti ◽  
Abdurrahman Sunanta ◽  
Ida Ayu Agung Faradynawati

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