Search

Search Results

2 results found

• Open Access Article

  20 Pages Download PDF: Analysis of Poverty Determinants in Pakistan: Insights from Household-Level Data

  Analysis of Poverty Determinants in Pakistan: Insights from Household-Level Data

  Misbah Nosheen, Mohammad Tahir , Javed Iqbal

  2024-06-15 https://doi.org/10.36923/jcmi.v5i1.573

  The study identifies different household-level determinants of poverty in Pakistan. The study makes use of PSLM (Pakistan Social and Living Standard Measurement) data for the year 2019–2020. By evaluating the Logit and Probit regression models, this study identifies economic factors that contribute to poverty. According to the findings, poverty is positively correlated with the dependence ratio and the number of people with disabilities. In addition, households with literate household heads have lower rates of poverty. Similarly, household heads in urban areas are more likely to have lower levels of poverty than rural residents. Moreover, Sindh has the highest level of poverty, whereas KP has the lowest. Therefore, poverty may be decreased by offering free education, job opportunities, and good planning for population expansion. Because family size has a direct impact on the dependency ratio, governmental efforts to reduce household size must be encouraged. In a similar manner, rehabilitation programs should be created, and monthly transfer payments should be provided to people with disabilities. Therefore, initiatives must be taken to reduce the disparities in the country's infrastructure, health, and education.

  pp. 71-90 Abstract views:432 Downloads:128

• Open Access Article

  11 Pages Download PDF: Social Protection Analysis on Labor Market of Pakistan

  Social Protection Analysis on Labor Market of Pakistan

  Tayyaba Faaiz, Hafsa Bibi, Naseem Akhtar, Mahnoor Fatima

  2025-12-10 https://doi.org/10.36923/jcmi.v6i2.667

  Social security is seen as a fundamental human right. The aim of this study is to explore the effect of social protection on the labor market dynamic. This study is based on the HIES data set from 2018-19. Binary logistic regression is used to estimate the parameters of the labor force participation model. This study found that beneficiaries of social protection programs have a negative trend toward labor force participation in Pakistan. In addition, it is observed that some social indicators like age, the rural living region, and male household head significantly effect on labor force participation. This study also attempts to fill the gap by examining the effect that LFP on educational attainments. The study attempts to highlight the effect of social protection on LFP at the provincial level. The results explore the positive effect on labor force participation of beneficiaries by different age categories. Female labor force participation of grant receivers in Pakistan is still below as compared to males. The results show that the impacts of higher educated people on the labor force are low as compared to uneducated. The study concludes by lying out some recommendations.

  pp. 49-59 Abstract views:262 Downloads:117