SEARCH ARTICLE

22 Pages : 230-237

http://dx.doi.org/10.31703/gssr.2020(V-II).22      10.31703/gssr.2020(V-II).22      Published : Jun 2020

An Investigation of the Contribution of Women to the Socio-EconomicDevelopment: A Case Study of District Peshawar

    The present study investigates women’s contribution to the socio-economic development of a country via their shares in the family’s total income. District Peshawar was selected as a research area A well-defined questionnaire was randomly distributed among women respondents both working women and housewives (sample size 450 = 300 urban and 150 rural). Two models, working women share in the income of household and wife’s share in household income were estimated. Based on the findings of research it is deducted that Model 2 for working women’s share in family’s total is preferred to second Model 2 for housewives shares in family’s total income although both models showed a positive and significant effect in most of the urban and rural areas of the Peshawar. It is suggested that the rate of economic participation of these women can be substantially raised through the introduction of appropriate measures if these are carried out with true letter and spirit.

    Socio-Economic Development, Working Women, House Wives
    (1) Saima Urooge
    Assistant Professor, Department of Economics, Islamia College University Peshawar, KP, Pakistan.
    (2) Noor Jehan
    Assistant Professor, Department of Economics, Abdul Wali Khan University Mardan, KP, Pakistan.
    (3) Bibi Aisha Sadiqa
    Assistant Professor, Department of Economics, Hazara University Mansehra, KP, Pakistan.

07 Pages : 99-109

http://dx.doi.org/10.31703/gssr.2018(III-II).07      10.31703/gssr.2018(III-II).07      Published : Jun 2018

The Role of Socio-Economic Factors in Earning of Women in Education Sector District Peshawar (Khyber Pakhtunkhwa)

    This paper overviews socio-economic factors as determinants of working women earnings in education department of district Peshawar Khyber Pakhtunkhwa. For this purpose, a primary data was collected through a structured questionnaire from 126 working females in September, 2017. Multinomial logistic regression technique has been used for the estimation of results. The main findings of the study are that education, experience, family income, and locality of job area showed positive relationship with working women earnings. However, marital status remained insignificant. Based on the findings of this study the researchers recommended that females are significantly contributing in family expenditures. Therefore, government should invest more in female’s education and prioritize it.

    Multinomial Logistic Model, Education Sector, Working Women Earnings
    (1) Fazli Qadir
    PhD Scholar (Economics), Preston University, Kohat, Islamabad Campus, Pakistan.
    (2) Muhammad Tariq
    Assistant Professor, Department of Economics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan.
    (3) Muhammad Jehangir
    Assistant Professor, IBL, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan.