7 resultados para Neighborhood impacts
em Universidad del Rosario, Colombia
Resumo:
Using a unique neighborhood crime dataset for Bogotá in 2011, this study uses a spatial econometric approach and examines the role of socioeconomic and agglomeration variables in explaining the variance of crime. It uses two different types of crime, violent crime represented in homicides and property crime represented in residential burglaries. These two types of crime are then measured in non-standard crime statistics that are created as the area incidence for each crime in the neighborhood. The existence of crime hotspots in Bogotá has been shown in most of the literature, and using these non-standard crime statistics at this neighborhood level some hotspots arise again, thus validating the use of a spatial approach for these new crime statistics. The final specification includes socioeconomic, agglomeration, land-use and visual aspect variables that are then included in a SARAR model an estimated by the procedure devised by Kelejian and Prucha (2009). The resulting coefficients and marginal effects show the relevance of these crime hotspots which is similar with most previous studies. However, socioeconomic variables are significant and show the importance of age, and education. Agglomeration variables are significant and thus more densely populated areas are correlated with more crime. Interestingly, both types of crimes do not have the same significant covariates. Education and young male population have a different sign for homicide and residential burglaries. Inequality matters for homicides while higher real estate valuation matters for residential burglaries. Finally, density impacts positively both crimes.
Resumo:
In Argentina, the restructuring of the State initially raised as a public policy in the 1980s and in-depth in the ‘ 90s under the neoliberal model accentuated - between other processes, of the administrative decentralization, which also resulted in new roles awarded to municipalities. That’s how various actors in society charged leadership. The local and urban were the subject of renewed interpretations, scenarios where practices more fully participatory citizen could be settled. In the neighborhoods of cities, grass-roots organizations cultivated his role as space intermediation. This article discusses and reflects on these new roles that launched from the changes in articulation with the municipality since the mid-’ 80s and ‘ 90s, and problematizes particularly about the contents and scope of participatory practices inside and outside of organizations of civil society in the neo-liberal situation.
Resumo:
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.
Resumo:
We aim to contribute to the assessment of poverty impacts on the rural sector arising from agricultural policy adjustments in Colombia. For this we use an agriculture specialized static CGE model, jointly (sequentially) with a microsimulation model that allows for effective job relocation. Results indicate that the sectoral impact of the program implemented tends to be small and has considerable variability across crops. They also show that the highest impacts come from the irrigation and land improvements component of the program. Lastly, although it reduces poverty, poverty impacts are small and tend to concentrate in rural households toward the middle of the income distribution ladder.
Resumo:
We quantify the effects on poverty and income distribution in Ecuador of bilateral trade liberalization with the US and a budget-neutral value added tax increase which seeks to compensate tariff revenue losses. We stress the study of fiscal policies that the government could tap in order to compensate for tariff revenue loss. This is a very important issue for Ecuador because this country adopted the US dollar as its currency in 2000, forgiving the use of important policy instruments. To study these issues we combine a reduced-form micro household income and occupational choice model (using 2005/6 data from the Ecuadorian LSMS) with a standard single-country computable general equilibrium model (employing a 2004 SAM). We follow a sequential approach that simulates the full distributional impact of trade and tax policies. We find that the impact of these policy changes on extreme poverty and income distribution is small but positive.
Resumo:
La asignatura de Competitividad Internacional Urbana (ciu) del programa de Gestión y Desarrollo Urbanos (gdu) de la Universidad del Rosario ha sido desde 2009, cuando asumí su dirección y orientación, un reto permanente de aprendizajes tan estimulantes y variados cuantas ciudades y atributos hay por descubrir en el inmenso mundo de lo urbano-rural-regional. Si bien la competitividad es un asunto urbano-regional antes que nacional, la mayor parte de los enfoques y de las consiguientes referencias bibliográficas abordan la competitividad a nivel nacional siendo relativamente escasas las publicaciones sobre la competitividad urbana. Así, los documentos abordan una descripción general de las ciudades, las causas de las crisis y las consecuencias para la ciudad y su estructura económica, analizadas a partir de los impactos sobre el mercado laboral, los precios de la vivienda, el desarrollo del turismo, entre otros, y las diversas estrategias que adoptaron para afrontar la crisis y convertirla en una oportunidad de desarrollo.
Resumo:
We look at at the empirical validity of Schelling’s models for racial residential segregation applied to the case of Chicago. Most of the empirical literature has focused exclusively the single neighborhood model, also known as the tipping point model and neglected a multineighborhood approach or a unified approach. The multi-neighborhood approach introduced spatial interaction across the neighborhoods, in particular we look at spatial interaction across neighborhoods sharing a border. An initial exploration of the data indicates that spatial contiguity might be relevant to properly analyse the so call tipping phenomena of predominately non-Hispanic white neighborhoods to predominantly minority neighborhoods within a decade. We introduce an econometric model that combines an approach to estimate tipping point using threshold effects and a spatial autoregressive model. The estimation results from the model disputes the existence of a tipping point, that is a discontinuous change in the rate of growth of the non-Hispanic white population due to a small increase in the minority share of the neighborhood. In addition we find that racial distance between the neighborhood of interest and it surrounding neighborhoods has an important effect on the dynamics of racial segregation in Chicago.