SUPPLY SIDE DETERMINANTS OF CHILD LABOR IN PUNJAB

2015 ◽  
Vol 54 (1) ◽  
pp. 103-111
Author(s):  
Sadia Rafi ◽  
Mumtaz Ali
Keyword(s):  
Child Labor ◽  
Family Income ◽  
Policy Implications ◽  
Supply Side ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Using Data ◽  
Major Factors ◽  
Binary Logistic Model ◽  
Physical Access

Children are an integral part of any society as they are not born to work but to study. Unfortunately children are facing hindrance either in economic term or in social term that forced them into labor work. Getting better idea of the real determinants of child labor can only provide the better policy options to tackle this menace. The major objective of the study is to highlight the supply-side determinants of child-labor in case of Punjab, Pakistan. Using data of Multiple Indicator Cluster Survey (MICS) 2007-08 for Punjab, the study examined the supply side determinants of child labor in Punjab. A binary logistic model was used for empirical analysis. Major findings of the study unveiled that although, low family income, family size, and physical access to the institutions are pushing children to child labor but more significantly mother’s education and household head’s education are the major factors that force parents to put their children to work. In line with aforementioned findings, some suitable policy implications were given for government to counter this substantial barrier to the nation’s growth.

scholarly journals Causes of Grade Nine Students’ Grade Retention in General Secondary Schools of Dabat Woreda in North Gondar, Ethiopia

2017 ◽  
Vol 5 (2) ◽  
pp. 84
Author(s):  
Nahom Eyasu
Keyword(s):  
Secondary Schools ◽  
Child Labor ◽  
Grade Retention ◽  
Family Income ◽  
Rank Order ◽  
Poor Quality ◽  
School Factors ◽  
Separate Area ◽  
Major Factors ◽  
Out Of School

One of the great problems of Ethiopia for the educational arena is retention. Averagely 8.07% of each year of the secondary education students is repeated due to lack of achievement in this country. The percentage of retention in a country shows what proportion of students is regularly repeated in the same grade and who are, therefore, committing different crimes and misbehaved behaviors. Grade retention predicts many negative student outcomes: the frustration and humiliation associated with repeating the curriculum, combined with one’s physical size, may result in an increase in aggression and oppositional behavior. The main purpose of this study was to investigate some of the causes that contribute to grade nine students’ grade retention in general secondary schools of Dabat district. It has attempted to identify the major factors under two headings: in-school and out-of-school factors to present separate area of intervention. In order to attain the objectives, the study was carried out in two general secondary schools which were selected using comprehensive sampling techniques. The study involved 264(M=106 & F=158) grade repeaters and 44 teachers and 2 principals. The data gathered were analyzed using percentage, mean, Spearmen rank order correlation coefficient and t-test. Based on the result of the analysis, among the in-school factors, the highest percentages were observed for difficulty of language of instruction, students’ failure to study hard, poor quality of teaching, lack of guidance and counseling and frequent absenteeism of students were in-school related. On the other hand, low level of family income, parent (pupils) health problem, lack of parents support and child labor were identified as the major out-of-school causes for grade retention in grade nine secondary schools. It was also found out that the combined effect of both in-school and out-of-school factors was important in explaining students’ grade retentions in the secondary schools of the district. The incidence of the problem is relatively higher among girls than among boys. 

scholarly journals The Impact of Remittances Versus Parental Absence on Children’s Wellbeing: Evidence from Rural Punjab

2017 ◽  
Vol 22 (2) ◽  
pp. 1-37
Author(s):  
Nida Jamil
Keyword(s):  
Child Labor ◽  
Fixed Effects ◽  
Parental Absence ◽  
Left Behind ◽  
Children’S Wellbeing ◽  
Research Initiative ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Households With Children ◽  
The Impact

This study examines the impact of migration on children left behind in terms of schooling and child labor by quantifying two aspects of migration: remittances and parental absence, in cases where the father is the migrant. The study is based on a panel analysis of data drawn from the Multiple Indicator Cluster Survey for 2007 and the Privatization in Education Research Initiative survey for 2011. The sample comprises 820 households with children aged 5–14 years. The study uses the instrumental variable (IV) approach due to endogeneity. Exogenous variation in parental absence and remittances sent by migrants from a given kinship network are employed as IVs. This, combined with household fixed effects and random effects, increases the reliability of the results. While remittances benefit the children, father’s absence has adverse consequences for them. However, mother’s presence in the house appears to compensate for the father’s absence, making the migration beneficial on net for the child. The father’s absence has worse consequences for girls in terms of increased child labor, where the money coming in through remittances has a larger impact on boys’ schooling.

ASSOCIATION OF SOCIO-DEMOGRAPHIC FACTORS WITH DIARRHEA IN CHILDREN LESS THAN FIVE YEARS: A SECONDARY ANALYSIS OF MULTIPLE INDICATOR CLUSTER SURVEY SINDH 2014

1970 ◽  
Vol 7 (2) ◽  
pp. 85-89
Author(s):  
Muhammad Irfan ◽  
Syed Mustansir Hussain Zaidi ◽  
Hira Fatima Waseem
Keyword(s):  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
Household Wealth ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Increased Risk ◽  
Multiple Indicator ◽  
Mother Education ◽  
Socio Demographic Factors

Background: Diarrhea founds to be the major cause of morbidity and mortality in children less than five years. Various factors are associated with diarrhea but socio-demographic factors are the main key elements, which associated with diarrhea. Methods: This study was examined association of socio-demographic factors with diarrhea in children less than five years of age of Sindh, Pakistan, using data from the Multiple Indicator Cluster Survey (MICS) conducted from January 2014 to August 2014. Data were collected for 18,108 children in whom 16,449 children had complete data of demographic variables being included in the analysis. Bivariate analysis was done using Pearson's Chi square test and multivariate analysis being done using binary logistic regression. Results: We found increased risk of diarrhea among children lives in rural areas while household wealth index quintile was also associated with diarrhea. Children in the poor, middle and fourth wealth index quintiles being at increased risk of diarrhea compared to children in the richest wealth index quintile. The highest risk of diarrhea was found for the child having mother with no education as well as children aged 12-23 months. Conclusion: Age of child, mother education and wealth index found significant with diarrhea while Male children, child aged 12-23 months, child with no mother education, child from rural areas and child from poor households found with high risk of diarrhea.

scholarly journals Challenges in Bridge Health Monitoring: A Review

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4336
Author(s):  
Piervincenzo Rizzo ◽  
Alireza Enshaeian
Keyword(s):  
United States ◽  
Health Monitoring ◽  
Highway Bridges ◽  
The United States ◽  
Anomalous Behavior ◽  
Existing Structures ◽  
Bridge Health Monitoring ◽  
Using Data ◽  
The Many ◽  
Major Factors

Bridge health monitoring is increasingly relevant for the maintenance of existing structures or new structures with innovative concepts that require validation of design predictions. In the United States there are more than 600,000 highway bridges. Nearly half of them (46.4%) are rated as fair while about 1 out of 13 (7.6%) is rated in poor condition. As such, the United States is one of those countries in which bridge health monitoring systems are installed in order to complement conventional periodic nondestructive inspections. This paper reviews the challenges associated with bridge health monitoring related to the detection of specific bridge characteristics that may be indicators of anomalous behavior. The methods used to detect loss of stiffness, time-dependent and temperature-dependent deformations, fatigue, corrosion, and scour are discussed. Owing to the extent of the existing scientific literature, this review focuses on systems installed in U.S. bridges over the last 20 years. These are all major factors that contribute to long-term degradation of bridges. Issues related to wireless sensor drifts are discussed as well. The scope of the paper is to help newcomers, practitioners, and researchers at navigating the many methodologies that have been proposed and developed in order to identify damage using data collected from sensors installed in real structures.

scholarly journals Sociodemographic factors and early marriage among women in Bangladesh, Ghana and Iraq: An illustration from Multiple Indicator Cluster Survey

Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e07111
Author(s):  
Ahmed Abdus Saleh Saleheen ◽  
Sharmin Afrin ◽  
Samia Kabir ◽  
Md. Jakaria Habib ◽  
Maliha Afroj Zinnia ◽  
...  
Keyword(s):  
Sociodemographic Factors ◽  
Early Marriage ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

scholarly journals Correlates of child functional difficulties status in Ghana: A further analysis of the 2017/18 multiple indicator cluster survey

Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05727
Author(s):  
Nutifafa Eugene Yaw Dey ◽  
Emmanuel Dziwornu ◽  
Kwabena Frimpong-Manso ◽  
Henry Ofori Duah ◽  
Pascal Agbadi
Keyword(s):  
Cluster Survey ◽  
Functional Difficulties ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

Factors affecting desired family size in Bangladesh

1994 ◽  
Vol 26 (3) ◽  
pp. 369-375 ◽  
Author(s):  
M. Kabir ◽  
Ruhul Amin ◽  
Ashraf Uddin Ahmed ◽  
Jamir Chowdhury
Keyword(s):  
Regression Analysis ◽  
Family Size ◽  
Contraceptive Use ◽  
Policy Implications ◽  
Work Status ◽  
Factors Affecting ◽  
Rural Bangladesh ◽  
Contraceptive Prevalence ◽  
Using Data ◽  
Desired Family Size

SummaryFactors affecting desired family size in rural Bangladesh are examined using data from contraceptive prevalence surveys conducted between 1983 and 1991. The analysis suggests that mothers having two sons and one daughter are more inclined to perceive their family as complete than those having three sons and no daughter. Logistic regression analysis indicates that important determinants of desire for more children are age of woman, current contraceptive use status, work status, and family planning worker's visit. The policy implications of these findings are discussed.

A Dynamic Analysis of Child Labor with a Variable Rate of Discount: Some Policy Implications

2006 ◽  
Vol 5 (1) ◽  
Author(s):  
Satya P Das ◽  
Rajat Deb
Keyword(s):  
Discount Rate ◽  
Child Labor ◽  
Time Preference ◽  
Infinite Horizon ◽  
Policy Implications ◽  
Poverty Trap ◽  
Variable Rate ◽  
Lump Sum ◽  
Long Run ◽  
Short Run

AbstractThis paper analyzes the problem of child labor in an infinite-horizon dynamic model with a variable rate of time preference and credit constraints. The variability in the rate of time preference leads to the possibility of multiple steady states and a poverty trap. The paper considers the long-run and short-run effects of an array of policies like enrollment subsidy, improvement in primary education infrastructure, lump-sum subsidy, and variations in loan market parameters. We distinguish between policies that reduce child labor in the long run only in the presence of a variable discount rate and other policies which work whether or not the discount rate is variable. Credit-related policies belong to the former group. Policies that reduce child labor and increase family consumption in the long run may have an adverse effect of lowering consumption in the short run.

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