How well do urban growth boundaries contain development? Results for Oregon using a difference-in-difference estimator

2013 ◽  
Vol 43 (6) ◽  
pp. 996-1007 ◽  
Author(s):  
Judith A. Dempsey ◽  
Andrew J. Plantinga
2019 ◽  
pp. 0739456X1986530
Author(s):  
Jae Hong Kim

This article explores ways in which land use policy outcomes vary across contexts focusing, as an example, on urban growth boundaries. Specifically, it analyzes how various contextual factors interact with the policy and generate diverging development outcomes by employing a kernel-based regularized least squares method. Results show that the policy effectiveness is largely dependent on the region’s population size, initial density levels, and organizational conditions. The presence of urban growth boundaries also appears to shape the way other determinants influence development patterns, suggesting that the policy can both directly and indirectly promote a more compact/contiguous pattern of development.


2019 ◽  
Vol 11 (21) ◽  
pp. 5919 ◽  
Author(s):  
He ◽  
Mai ◽  
Shen

For megacities experiencing rapid urbanization in China, urban growth boundaries (UGBs) have been considered as a useful means to control urban sprawl and to promote sustainable urban development. However, scientific methods and tools to delineate sound UGBs by planners are few and far between. Using metropolitan Chengdu as the study area, this paper applies the system dynamics (SD) and conversion of land use and its effects at small region extent (CLUE-s) models to delineate UGBs. In this study, land use demand was simulated in the SD model temporally at a macro-level and allocated in the CLUE-s model spatially at a micro-level. Key social-economic elements and spatial pattern factors were used in the simulation process for the period of 2013–2030. The simulation results under various scenarios showed that areas along the major corridors and belt roads of the main Chengdu metropolitan area and its satellite towns have higher chances to be developed. The areas most likely to be developed were used to establish the UGBs for 2020, 2025, and 2030. This research demonstrates that the integrated framework of SD and CLUE-s models provides a feasible means of UGB delineation under different development scenarios.


2019 ◽  
Vol 22 (10) ◽  
pp. 1909-1913 ◽  
Author(s):  
Rajan A Sonik ◽  
Susan L Parish ◽  
Monika Mitra

AbstractObjectiveTo assess patterns of food insecurity before and after initial receipt of Supplemental Security Income (SSI) benefits.DesignWe analysed data from a nationally representative sample. We estimated two difference-in-difference models comparing food insecurity patterns among eventual SSI recipients with patterns among eligible non-recipients during two time frames. The first model assessed changes in food insecurity immediately before SSI benefits were first received and the second model assessed changes in food insecurity after programme entry.Setting2008 panel of the Survey of Income and Program Participation.ParticipantsNon-institutionalized population of the USA.ResultsThe percentage of eventual SSI recipients experiencing food insecurity rose from 18 to 30 % in the year before programme entry, compared with a change from 17 to 18 % for eligible non-recipients. Adjusting for sociodemographic covariates, the difference-in-difference estimator for this comparison was statistically significant (P=0·01). Additionally, the percentage of recipients experiencing food insecurity fell from 28 % in the year before programme entry to 16 % in the year after entry, compared with a change from 16 to 17 % for eligible non-recipients. Adjusting for sociodemographic covariates, the difference-in-difference estimator for this comparison was marginally significant (P=0·07).ConclusionsFood insecurity rises prior to SSI entry but may be alleviated by programme benefits. Greater nutritional supports for SSI applicants awaiting decisions may reduce the burden of food insecurity in this population and improve health outcomes.


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