13 research outputs found

    Fostering Social Development Through Civic and Political Engagement: How Confidence in Institutions and Agency Matter

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    Traditional approaches in social development have neglected the role of politics, civic engagement, and processes of democratization. This paper empirically tests the extent to which civic engagement and political action are shaped by confidence in state and non-state institutions and political and personal agency. The results underscore the importance of enabling social development through inclusive governance and democratization

    Effects of Assets on Attitudes and Behaviors: Advance Test of a Social Policy Proposal

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    Raising asset limits and creating individual development accounts have been proposed in welfare reform. In part the rationale for these proposals is that assets have positive effects on attitudes and behaviors, including long-term planning, greater work effort, and improved social connectedness. The Panel Study of Income Dynamics (PSID), between 1968 and 1972, included a wide range of attitude and behavioral measures. In this study, data from the PSID are analyzed to test for the following: a) the effect of assets on attitudes and behaviors; b) the effect of attitudes and behaviors on assets; c) the effect of income on attitudes and behaviors; and d) the effect of attitudes and behaviors on income. A path analytic model is estimated using LISREL. Results indicate modest effects of some assets that are (a) consistently positive as predicted, and (b) overall as strong as the effects of income. Results support the proposition that assets have a positive effect on expectations and confidence about the future; influence people to make specific plans with regard to work and family; induce more prudent and protective personal behaviors; and lead to more social connectedness with relatives, neighbors, and organizations. These results suggest that policy demonstrations are desirable

    Social, economic, and resource predictors of variability in household air pollution from cookstove emissions

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    We examine if social and economic factors, fuelwood availability, market and media access are associated with owning a modified stove and variation in household emissions from biomass combustion, a significant environmental and health concern in rural India. We analyze cross-sectional household socio-economic data, and PM(2.5) and particulate surface area concentration in household emissions from cookstoves (n = 100). This data set combines household social and economic variables with particle emissions indexes associated with the household stove. The data are from the Foundation for Ecological Society, India, from a field study of household emissions. In our analysis, we find that less access to ready and free fuelwood and higher wealth are associated with owning a replacement/modified stove. We also find that additional kitchen ventilation is associated with a 12% reduction in particulate emissions concentration (p<0.05), after we account for the type of stove used. We did not find a significant association between replacement/modified stove on household emissions when controlling for additional ventilation. Higher wealth and education are associated with having additional ventilation. Social caste, market and media access did not have any effect on the presence of replacement or modified stoves or additional ventilation. While the data available to us does not allow an examination of direct health outcomes from emissions variations, adverse environmental and health impacts of toxic household emissions are well established elsewhere in the literature. The value of this study is in its further examination of the role of social and economic factors and available fuelwood from commons in type of stove use, and additional ventilation, and their effect on household emissions. These associations are important since the two direct routes to improving household air quality among the poor are stove type and better ventilation

    Sample Characteristics of Social, Economic, and Emissions Variables.

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    <p>Sample Characteristics of Social, Economic, and Emissions Variables.</p

    Predictors of household particle emissions<sup>a</sup>.

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    a<p>OLS regression b coefficient (robust standard error).</p>*<p><i>p</i><0.05;</p>**<p><i>p</i><0.01;</p>†<p>Trended toward significance at <i>p</i><0.10.</p

    Predicted Probability of Having a Clean Stove by Livestock Wealth and Access to Fuelwood from Commons (A) and by Years of Education and Access to Fuelwood from Commons (B).

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    <p>Predicted Probability of Having a Clean Stove by Livestock Wealth and Access to Fuelwood from Commons (A) and by Years of Education and Access to Fuelwood from Commons (B).</p

    Adjusted odds ratios for household and village-level variables’ association with having replacement/modified stoves and additional ventilation<sup>a</sup>.

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    a<p><i>NOTE</i>: CI  =  Confidence Interval; <sup>b</sup>n.s. denotes a non-significant association that was removed from the model in the stepwise selection process.</p>*<p><i>p</i><0.05;</p>**<p><i>p</i><0.01;</p>***<p><i>p</i><0.001.</p
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