Generate summary for article using Artificial Intelligence tools
| Id | 134 | |
| Author | Li, Y., ; Winters, J., V. | |
| Title | Urbanisation, natural amenities and subjective well-being: Evidence from US counties. | |
| Reference | Winters, J.V.; Li, Y. (2017). Urbanisation, natural amenities and subjective well-being: Evidence from US counties. Urban Studies, 54(8): 1956-1973. |
|
| Link to article | https://doi.org/10.1177/0042098016631918 |
|
| Abstract | This paper examines the relationships between county-level urbanisation, natural amenities and subjective well-being (SWB) in the US. SWB is measured using individual-level data from the Behavioral Risk Factor Surveillance System (BRFSS) which asks respondents to rate their overall life satisfaction. Using individual-level SWB data allows us to control for several important individual characteristics. The results suggest that urbanisation lowers SWB, with relatively large negative coefficients for residents in dense counties and large metropolitan areas. Natural amenities also affect SWB, with warmer winters having a significant positive relationship with self-reported life-satisfaction. Implications for researchers and policymakers are discussed. |
Urbanisation, natural amenities and subjective well-being: Evidence from US counties.. This paper examines the relationships between county-level urbanisation, natural amenities and subjective well-being in the US. furthermore krupka suggests that individuals may make location-specific human capital investments that increase the benefits from living near familiar amenities and deter relocation to highly dissimilar areas. the interest in this study is on the rela- tionships between urbanisation natural amenities and subjective well-being. specifically the highest well-being occurs in micropolitan areas. public policies that constrain the population and density of urban areas may be able to improve individ- ual life-satisfaction for example by reducing congestion pollution and time spent commuting.
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD