IMPACTO DE LAS DISPARIDADES REGIONALES DE RIQUEZA EN LA ESCUELA INFANTIL: UN CASO DE PUNJAB, PAKISTÁN

Autores/as

DOI:

https://doi.org/10.22481/praxisedu.v16i37.6403

Resumen

Este documento tiene como objetivo explorar el efecto de la disparidad de riqueza entre los distritos de Punjab en la inscripción escolar de niños de 3 a 14 años de edad para el período 2008, 2011, 2014. Este estudio ha utilizado el modelo probit y también utiliza el componente principal análisis para crear un índice de disparidad de riqueza del distrito para examinar cómo influye en la escolarización de los niños en las economías en desarrollo. Los resultados exponen que la probabilidad de inscripción escolar está influenciada negativamente por la disparidad de riqueza de los distritos en los tres modelos, es decir, para todos los niños. En las variables de control, los hogares que reciben remesas conducen a aumentar la escolarización de los niños. La educación de los padres plantea la posibilidad de escolarizar en los tres modelos. La educación de la madre afecta más la matrícula infantil en comparación con la educación de la cabeza en todos los modelos. Los niños estaban menos dispuestos a estudiar en el año 2007 para los tres modelos. Los resultados sugieren que la disminución de la disparidad entre los distritos de Punjab desea una distribución equivalente de fondos del gobierno de Punjab a los distritos. Puede aumentar el bienestar del hogar mediante la inscripción de niños en la escuela secundaria. Este estudio crea un índice de disparidad de riqueza en el distrito utilizando el análisis de componentes principales y utiliza una fórmula diferencial para explicar las disparidades socioeconómicas regionales en los distritos de Punjab en Pakistán.

Descargas

Los datos de descargas todavía no están disponibles.

Métricas

Cargando métricas ...

Biografía del autor/a

Hafiza Nadia Bashir, COMSATS University Islamabd – Paquistão

Assistant Professor, Department of Economics, COMSATS University Islamabd, Pakistan.

Muhammd Imran Khan, COMSATS University Islamabad – Paquistão

Assistant Professor, Department of Management Sciences, COMSATS University Islamabd, Pakistan.

Muhammad Sajjad, COMSATS University Islamabad – Paquistão

Assistant Professor, Department of Management Sciences, COMSATS University Islamabd, Pakistan. 

Durdana Qaiser Gillani, The University of Lahore – Paquistão

Assistant Professor of Economics, The University of Lahore, Pakistan. Assistant Professor of Economics, COMSATS University Islamabad, Pakistan

Rafaqet Ali, COMSATS University Islamabad – Paquistão

Assistant Professor, Department of Economics, COMSATS University Islamabd, Pakistan.

Muhammad Asim Yaseen, COMSATS University Islamabad – Paquistão

Assistant Professor, Department of Economics, COMSATS University Islamabd, Pakistan.

Citas

Azid, T., & Khan, REA. (2010). Who Are the Children Going to School in Urban Punjab (Pakistan)? International Journal of Social Economics. 37 (6), 442-465.
Booth, A., & Kee, H. J. (2005). The Effect of family size and birth order on educational attainment. The Australian national university center for economic policy research discussion paper birth order matters: Discussion Paper No. 506.
Borychenko, K., Hudz, A., Koval, V., Golubkova, I., & Mazur, A. (2019). European standards for social protection of internally displaced persons. Dilemas contemporaneos-educacion politica y valores, 7 (SI), 88.
Brown, P. H., & Park, A. (2002). Education and poverty in rural China. Economics of Education Review, 21(6), 523–541.
Bukanov, H., Kolesnyk, A., Tashkinova, O., Kotlubai, V., Koval, V. (2019). Social marketing in public administration of social service institutions. Revista Genero & Direito, 8 (6), 457-468.
Chabban, & Mansour. (2012). The Impact of remittances on education in Jordan, Syria and Lebanon. Working Paper No. 684.
Filmer, D., &Pritchett, L. (2001). Estimating wealth effects without expenditure data – or Tears: An application to educational enrolments in States of India. Demography, 38(1), 115-132.
Filmer, D. (2005). Gender and wealth disparities in schooling: Evidence from 44 countries. International Journal of Educational Research, 43, 351-369.
Francessa, F., Giannelli, G. C., & Grilli, L. (2013). Mothers’ employment and their children’s schooling: A Joint multilevel analysis for India. World Development, 4,183-195.
Filho, Evangelista de Carvalho, & Ferretti, Milesi M. G. (2008). Household Income as a determinant of child labor and school enrollment in Brazil: Evidence from a Social Security Reform. International Monetary Fund WP/08/241.
García, E and Demetrio. (2014). Determinants of educational outcomes: analysis of the republic of Tatarstan. Communist and Post-Communist Studies, 47, 39–47.
Huisman, J., &Smits, J. (2009). Effects of household and district-level factors on primary school enrollment in 30 Developing Countries. World Development, 37(1), 179-193.
Jamal, H. (2012). Districts’ indices of multiple deprivations for Pakistan. 2011 Research Report No. 82.
Koval, V., Polyezhayev, Y., & Bezkhlibna, A. (2018). Communicative competences in enhancing of regional competitiveness in the labour market. Baltic Journal of Economic Studies, 4(5), 105-113.
Khan, R. E. A. (2003). Children in different activities: Child schooling and child labor. The Pakistan Development Review, 42(2), 137-160.
Khan, R. E. A. (2008). Gender analysis of children’s activities in Pakistan. Pakistan Development Review, 47(2), 169-195.
Khan, U, S and Khan J. M. (2016). The impact of remittances on child education in Pakistan. The Lahore Journal of Economics, 21(1), 69–98.
Khan, R. E. A. (2010). Child labor in Pakistan: estimates and determinants. VDM Verlag Dr. Muller Aktiengesellschaft & Co. KG Germany.
Khan, U, S., & Khan J. M. (2016). The Impact of Remittances on Child Education in Pakistan. The Lahore Journal of Economics 21 (1), pp. 69–98.
Kruger, D. I., Berthelon, M., & Soares, R. (2010). Work and schooling: The role of household activities among girls in Brazil, In R. K. Q. Akee, E. V. Edmonds, & K. Tatsiramos (Eds.), child labor and the Transition between school and wor. Research in Labor Economics, 31,161–192.
Kruger, I, D. (2007). Coffee production effects on child labor and schooling in rural Brazil. Journal of Development Economics, 82, 448-463.
Popova, O., Koval, V., Antonova, L., & Orel, A. (2019). Corporate social responsibility of agricultural enterprises according to their economic status. Management Theory and Studies for Rural Business and Infrastructure Development, 41(2), 277–289.
Lincove, J, A. (2015). Improving identification of demand-side obstacles to schooling: Finding from revealed and stated preference models in two SSA Countries. World Development, 66, 69–83.
Siddiqui, A. I., & Uzma, R. (2007). Socioeconomic determinants of school progression in Pakistan. Applied Economics and International Development, 7(2), 180-196
Tharmmapornphilas, R. (2013). Impact of household factors on youth’s school decisions in Thailand. Economics of Education Review, 37, 258-272.
Tsujita, Y. (2013). Factors that prevent children from gaining access to schooling: A study of Delhi slums households. International Journal of Educational Development, 33(4), 348-357.

Descargas

Publicado

2020-03-27

Cómo citar

BASHIR, H. N.; KHAN, M. I.; SAJJAD, M.; GILLANI, D. Q.; ALI, R.; YASEEN, M. A. IMPACTO DE LAS DISPARIDADES REGIONALES DE RIQUEZA EN LA ESCUELA INFANTIL: UN CASO DE PUNJAB, PAKISTÁN. Práxis Educacional, Vitória da Conquista, v. 16, n. 37, p. 525-538, 2020. DOI: 10.22481/praxisedu.v16i37.6403. Disponível em: https://periodicos2.uesb.br/index.php/praxis/article/view/6403. Acesso em: 24 ago. 2024.