The Regulation of Private Schools Serving Low-Income Families in Andhra Pradesh, India

2005 ◽  
Vol 18 (1) ◽  
pp. 29-54 ◽  
Author(s):  
Pauline Dixon ◽  
James Tooley
2020 ◽  
Vol V (I) ◽  
pp. 528-537
Author(s):  
Rashid Iqbal Klasra ◽  
Afshan Huma

This study retrospects the idea of financial assistance program (school voucher program) proposed by Milton Friedman, lately developed by Peacock, Wiseman and Jencks. It examines the current education voucher program of Punjab education foundation designed for students of low-income families. The research aims to see efficacy of Public Private Partnership in school education in Punjab. It analyzes private schools choices for poor students through government financial subsidy program for basic education in Punjab. The financial subsidy program has become pervasive recently. The research was descriptive in nature based on opinions of Program administrators/Directors of Punjab Education foundation, Schools owners, Principals, teachers and parents related to private schools of Punjab education foundation. The results drawn through observation, questionnaires, interviews. checklists indicated that this program increases choices for poor families to enroll their children in schools of their preference because of quality, pedagogical approaches, affordability and geographical location regardless of financial barriers.


2020 ◽  
Vol 18 (6) ◽  
pp. 700-724
Author(s):  
John Kambutu ◽  
Samara Madrid Akpovo ◽  
Lydiah Nganga ◽  
Sapna Thapa ◽  
Agnes Muthoni Mwangi

This ethnographic study examined the (un)intended 1 consequences of increased privatization of Early Childhood Education (ECE) in Nepal and Kenya. Qualitative data showed overreliance on high-stakes standardized tests increased competition for ‘good grades or examination scores’, thus (un)intentionally creating ideal conditions for proliferation of for-profit private schools that predominantly taught culturally decontextualized education at all levels of schooling. Private schools in both countries served high-income families and children, while low-income families and children did not have access to ECE or attended government and not-for-profit programmes. Rather than bridging the gap between low and high-income families, these educational spaces influenced existing social divisions and inequalities. Therefore, this study concluded that private schools in Nepal and Kenya function like businesses, which (un)intentionally promoted educational injustice 2 against children from low-income families. Consequently, authors recommend enactment of new educational policies and practices that promote culturally contextualized curricula in ECE programmes.


2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.


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