977 resultados para Neighborhood effects
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The quantity of fruit consumed by dispersers is highly variable among individuals within plant populations. The outcome Of Such selection operated by firugivores has been examined mostly with respect to changing spatial contexts. The influence of varying temporal contexts on frugivore choice, and their possible demographic and evolutionary consequences is poorly understood. We examined if temporal variation in fruit availability across a hierarchy of nested temporal levels (interannual, intraseasonal, 120 h, 24 h) altered frugivore choice for a complex seed dispersal system in dry tropical forests of southern India. The interactions between Phyllanthus emblica and its primary disperser (ruminants) was mediated by another frugivore (a primate),which made large quantities of fruit available on the ground to ruminants. The direction and strength of crop size and neighborhood effects on this interaction varied with changing temporal contexts.Fruit availability was higher in the first of the two study years, and at the start of the season in both years. Fruit persistence on trees,determined by primate foraging, was influenced by crop size andconspecific neighborhood densities only in the high fruit availability year. Fruit removal by ruminants was influenced by crop size in both years and neighborhood densities only in the high availability year. In both years, these effects were stronger at the start of the season.Intraseasonal reduction in fruit availability diminished inequalities in fruit removal by ruminants and the influence of crop size and fruiting neighborhoods. All trees were not equally attractive to frugivores in a P. emblica population at all points of time. Temporal asymmetry in frugivore-mediated selection could reduce potential for co-evolution between firugivores and plants by diluting selective pressures. Inter-dependencies; formed between disparate animal consumers can add additional levels of complexity to plant-frugivore mutualistic networks and have potential reproductive consequences for specific individuals within populations.
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Evidence of negative conspecific density dependence (NDD) operating on seedling survival and sapling recruitment has accumulated recently. In contrast, evidence of NDD operating on growth of trees has been circumstantial at best. Whether or not local NDD at the level of individual trees leads to NDD at the level of the community is still an open question. Moreover, whether and how perturbations interfere with these processes have rarely been investigated. We applied neighborhood models to permanent plot data from a Bornean dipterocarp forest censused over two 10-11 year periods. Although the first period was only lightly perturbed, a moderately strong El Nino event causing severe drought occurred in the first half of the second period. Such events are an important component of the environmental stochasticity affecting the region. We show that local NDD on growth of small-to-medium-sized trees may indeed translate to NDD at the level of the community. This interpretation is based on increasingly negative effects of bigger conspecific neighbors on absolute growth rates of individual trees with increasing basal area across the 18 most abundant overstory species in the first period. However, this relationship was much weaker in the second period. We interpreted this relaxation of local and community-level NDD as a consequence of increased light levels at the forest floor due to temporary leaf and twig loss of large trees in response to the drought event. Mitigation of NDD under climatic perturbation acts to decrease species richness, especially in forest overstory and therefore has an important role in determining species relative abundances at the site.
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Although accumulating evidence indicates that local intraspecific density-dependent effects are not as rare in species-rich communities as previously suspected, there are still very few detailed and systematic neighborhood analyses of species-rich communities. Here, we provide such an analysis with the overall goal of quantifying the relative importance of inter- and intraspecific interaction strength in a primary, lowland dipterocarp forest located at Danum, Sabah, Malaysia. Using data on 10 abundant overstory dipterocarp species from two 4-ha permanent plots, we evaluated the effects of neighbors on the absolute growth rate of focal trees (from 1986 to 1996) over increasing neighborhood radii (from 1 to 20 m) with multiple regressions. Only trees 10 cm to < 100 cm girth at breast height in 1986 were considered as focal trees. Among neighborhood models with one neighbor term, models including only conspecific larger trees performed best in five out of 10 species. Negative effects of conspecific larger neighbors were most apparent in large overstory species such as those of the genus Shorea. However, neighborhood models with separate terms and radii for heterospecific and conspecific neighbors accounted for more variability in absolute growth rates than did neighborhood models with one neighbor term. The conspecific term was significant for nine out of 10 species. Moreover, in five out of 10 species, trees without conspecific neighbors had significantly higher absolute growth rates than trees with conspecific neighbors. Averaged over the 10 species, trees without conspecific neighbors grew 32.4 cm(2) in basal area from 1986 to 1996, whereas trees with conspecific neighbors only grew 14.7 cm(2) in basal area, although there was no difference in initial basal area between trees in the two groups. Averaged across the six species of the genus Shorea, negative effects of conspecific larger trees were significantly stronger than for heterospecific larger neighbors. Thus, high local densities within neighborhoods of 20 m may lead to strong intraspecific negative and, hence, density-dependent, effects even in species rich communities with low overall densities at larger spatial scales. We conjecture that the strength of conspecific effects may be correlated with the degree of host specificity of ectomycorrhizae.
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Researchers have long recognized that the non-random sorting of individuals into groups generates correlation between individual and group attributes that is likely to bias naive estimates of both individual and group effects. This paper proposes a non-parametric strategy for identifying these effects in a model that allows for both individual and group unobservables, applying this strategy to the estimation of neighborhood effects on labor market outcomes. The first part of this strategy is guided by a robust feature of the equilibrium in the canonical vertical sorting model of Epple and Platt (1998), that there is a monotonic relationship between neighborhood housing prices and neighborhood quality. This implies that under certain conditions a non- parametric function of neighborhood housing prices serves as a suitable control function for the neighborhood unobservable in the labor market outcome regression. The second part of the proposed strategy uses aggregation to develop suitable instruments for both exogenous and endogenous group attributes. Instrumenting for each individual's observed neighborhood attributes with the average neighborhood attributes of a set of observationally identical individuals eliminates the portion of the variation in neighborhood attributes due to sorting on unobserved individual attributes. The neighborhood effects application is based on confidential microdata from the 1990 Decennial Census for the Boston MSA. The results imply that the direct effects of geographic proximity to jobs, neighborhood poverty rates, and average neighborhood education are substantially larger than the conditional correlations identified using OLS, although the net effect of neighborhood quality on labor market outcomes remains small. These findings are robust across a wide variety of specifications and robustness checks.
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The goal of this study was to develop Multinomial Logit models for the mode choice behavior of immigrants, with key focuses on neighborhood effects and behavioral assimilation. The first aspect shows the relationship between social network ties and immigrants’ chosen mode of transportation, while the second aspect explores the gradual changes toward alternative mode usage with regard to immigrants’ migrating period in the United States (US). Mode choice models were developed for work, shopping, social, recreational, and other trip purposes to evaluate the impacts of various land use patterns, neighborhood typology, socioeconomic-demographic and immigrant related attributes on individuals’ travel behavior. Estimated coefficients of mode choice determinants were compared between each alternative mode (i.e., high-occupancy vehicle, public transit, and non-motorized transport) with single-occupant vehicles. The model results revealed the significant influence of neighborhood and land use variables on the usage of alternative modes among immigrants. Incorporating these indicators into the demand forecasting process will provide a better understanding of the diverse travel patterns for the unique composition of population groups in Florida.
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Usando datos georreferenciados sobre mercado laboral para la ciudad de Bogotá, se desarrolla una estrategia empírica para identificar el efecto de la tasa de informalidad en el vecindario sobre la probabilidad individual de conseguir un trabajo informal. Se encuentra evidencia de la existencia de tales efectos del vecindario. Estos efectos funcionan de forma distinta para informalidad de trabajadores asalariados o independientes.
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Despite an impressive amount of research and policy intervention no robust pattern of neighborhood effects on educational attainment has previously been identified. Adequate theoretical modeling and the sensitivity of the results to the method of the study are the major challenges in this area of research. This paper elaborates the social mechanisms of neighborhood effects and applies various methodological approaches to test them. Using data from Switzerland, the research reported here has detected heterogeneous effects of neighborhood on elementary school students’ educational achievement in Zurich. Although modest in comparison with the effects of classroom composition, these effects appear to be mediated primarily through social integration into a local peer network and are differentiated according to students’ gender and their social origin.
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Les risques liés à l’environnement immédiat, notamment le manque d’accès à l’eau potable, à l’assainissement, à un logement décent et à un milieu de vie sain constituent un des facteurs à l’origine de la mauvaise santé des enfants de moins de cinq ans dans les pays en développement. Les objectifs principaux poursuivis dans cette recherche sont de mesurer l’influence de ces risques de l’environnement immédiat sur la prévalence des symptômes des troubles oculaires et celle des symptômes des troubles cutanés chez les enfants de moins de cinq ans à Ouagadougou et de rechercher les autres déterminants sous-jacents de la prévalence de ces symptômes dans cette ville. Nous utilisons les données de l’enquête réalisée en février 2010 sur l’état de santé et le comportement sanitaire associé aux maladies et symptômes récents et les données sur les événements démographiques et sur les conditions de vie des ménages collectées en mai 2009 durant le round 1 de l’enquête ménage. L’échantillon de l’étude est constitué de 950 enfants issus de 736 ménages sélectionnés aléatoirement dans cinq quartiers périphériques de la ville de Ouagadougou. Nous avons recouru à l’analyse descriptive fondée sur les tableaux croisés et les tests du chi-2, et à l’analyse de la régression logistique multivariée ayant permis d’étudier les risques relatifs de la survenue desdits symptômes. L’analyse descriptive montre que certaines variables de l’environnement immédiat, en l’occurrence le mode d’évacuation des ordures ménagères, le type de toilette utilisé le plus souvent par la plupart des membres du ménage et le type de quartier de résidence, sont associés à la prévalence des troubles oculaires. Mais une analyse approfondie à l’aide de la régression logistique multivariée n’a confirmé que l’effet du type de quartier de résidence. Concernant la prévalence des symptômes des troubles cutanés, en analyse bi-variée, les variables de l’environnement immédiat qui y sont associées sont la nature du sol intérieur et le mode d’évacuation des eaux usées. L’analyse multivariée semble confirmer les effets de ces variables. Nous avons relevé quelques limites des données utilisées, notamment la faible taille de l’échantillon, la non-confirmation par voie médicale des données sanitaires et le caractère transversal desdites données. Toutefois, les résultats trouvés pourront être utiles aux planificateurs et décideurs qui ont la charge de la gestion de l’espace urbain dans le but de mieux concevoir de nouvelles politiques urbaines mettant l’accent sur la restructuration des quartiers précaires afin de mieux combattre les maladies évitables. En conclusion, en tenant compte des limites relevées, il serait utile de procéder à d’autres investigations afin de tirer des conclusions moins sujettes à débat du point de vue méthodologique.
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El trabajo se enmarca en las discusiones relacionadas con segregación espacial, segregación social y construcción de barrios mezclados. Específicamente, selecciona el caso de La Felicidad: ciudad parque en Bogotá como un ejemplo que sirve para analizar las políticas públicas enfocadas en disminuir la segregación residencial en la ciudad a partir de la construcción de un vecindario que está compuesto por vivienda de interés social y vivienda regular. A partir de métodos cuantitativos y cualitativos se analiza cómo esta funcionando esta propuesta urbana.
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Orthodox economic models are good if one accepts the ceteris paribus. But this is possible if we accept that cultures are uniform, exogenous to the economic and the consumer has features such as equality of rational structure, among others. Similarly it is assumed mobility and economic geography optimizations when it comes to internal demographic flows and the migration as international movements, and generally any expression of human activity. Time is needed to take each event as "almost one-off", even though some aspects have similarities that prevent theoretically start from scratch in each analysis presented.What determines what is different? On the one hand, the historical basis assumed from the reasons of social construction of market, the reasons of social construction since ancient thought and the reasons for government social construction. Furthermore, the decisions, from the historical basis, are made by agents and contributions of the agencies, at their level, degree and intensity, to iterate it consolidate or change the social interactions and / or institutions established as and in accordance with rules, routines and habits. This is why it is interesting to develop the "neighborhood effects" to help understand the social mobility of the Department of Cundinamarca. This in order to contribute to resolving the question about why the mobility of people and what effect between territoriality and another and to itself?.
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Resumen: Este trabajo estudia los resultados en matemáticas y lenguaje de 32000 estudiantes en la prueba saber 11 del 2008, de la ciudad de Bogotá. Este análisis reconoce que los individuos se encuentran contenidos en barrios y colegios, pero no todos los individuos del mismo barrio asisten a la misma escuela y viceversa. Con el fin de modelar esta estructura de datos se utilizan varios modelos econométricos, incluyendo una regresión jerárquica multinivel de efectos cruzados. Nuestro objetivo central es identificar en qué medida y que condiciones del barrio y del colegio se correlacionan con los resultados educacionales de la población objetivo y cuáles características de los barrios y de los colegios están más asociadas al resultado en las pruebas. Usamos datos de la prueba saber 11, del censo de colegios c600, del censo poblacional del 2005 y de la policía metropolitana de Bogotá. Nuestras estimaciones muestran que tanto el barrio como el colegio están correlacionados con los resultados en las pruebas; pero el efecto del colegio parece ser mucho más fuerte que el del barrio. Las características del colegio que están más asociadas con el resultado en las pruebas son la educación de los profesores, la jornada, el valor de la pensión, y el contexto socio económico del colegio. Las características de los barrios más asociadas con el resultado en las pruebas son, la presencia de universitarios en la UPZ, un clúster de altos niveles de educación y nivel de crimen en el barrio que se correlaciona negativamente. Los resultados anteriores fueron hallados teniendo en cuenta controles familiares y personales.
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We use a novel dataset and research design to empirically detect the effect of social interactions among neighbors on labor market outcomes. Specifically, using Census data that characterize residential and employment locations down to the city block, we examine whether individuals residing in the same block are more likely to work together than individuals in nearby but not identical blocks. We find significant evidence of social interactions operating at the block level: residing on the same versus nearby blocks increases the probability of working together by over 33 percent. The results also indicate that this referral effect is stronger when individuals are similar in sociodemographic characteristics (e.g., both have children of similar ages) and when at least one individual is well attached to the labor market. These findings are robust across various specifications intended to address concerns related to sorting and reverse causation. Further, having determined the characteristics of a pair of individuals that lead to an especially strong referral effect, we provide evidence that the increased availability of neighborhood referrals has a significant impact on a wide range of labor market outcomes including employment and wages.
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Thesis (Ph.D.)--University of Washington, 2016-06
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This paper analyses the association between the number of patenting manufacturing firms and the quantity and quality of relevant university research across UK postcode areas. We show that different measures of research `power' and `excellence' positively affect the patenting of small firms within the same postcode area. Patenting by large firms, in contrast, is unaffected by research undertaken in nearby universities. This confirms the commonly held view that location matters more for small firms than large firms. We also investigate specific channels of technology transfer, finding that university-industry knowledge transfer occurs through both formal and informal channels. From a methodological point of view, we contribute to the existing literature by accounting for potential simultaneity between university research and patenting of local firms by adopting an instrumental variable approach. Moreover, we also allow for the effects of the presence of universities in neighbouring postcode areas to influence firms' patenting activity by incorporating spatial neighborhood effects.
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Common building energy modeling approaches do not account for the influence of surrounding neighborhood on the energy consumption patterns. This thesis develops a framework to quantify the neighborhood impact on a building energy consumption based on the local wind flow. The airflow in the neighborhood is predicted using Computational Fluid Dynamics (CFD) in eight principal wind directions. The developed framework in this study benefits from wind multipliers to adjust the wind velocity encountering the target building. The input weather data transfers the adjusted wind velocities to the building energy model. In a case study, the CFD method is validated by comparing with on-site temperature measurements, and the building energy model is calibrated using utilities data. A comparison between using the adjusted and original weather data shows that the building energy consumption and air system heat gain decreased by 5% and 37%, respectively, while the cooling gain increased by 4% annually.