Rural Poverty Dynamics in Pakistan: Evidence from Three Waves of
      the Panel Survey

Arif, G. M.; Farooq, Shujaat

doi:10.30541/v53i2pp.71-98

Cited by 26 publications

(31 citation statements)

References 17 publications

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“…More efforts are needed to improve these indicators. Arif and Farooq (2012) have analyzed the dynamics of rural poverty in Pakistan. They used the three waves of panel household survey carried out by PIDE in 2001, 2004 and 2010.…”

Section: Poverty Statusmentioning

confidence: 99%

Population and Poverty Nexus in Pakistan

Afzal¹,

Awais

2014

JISR-MSSE

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Pakistan has one of the highest population growth rates in the world. Rapid population growth is the bone of contention as well as the crux of the problems. 80 million people live below the poverty line. Macroeconomic instability, rising absolute and relative poverty and worsening income inequalities are the direct as well as indirect result of the high population growth. Population pressures are threatening land, forests and water resources. Improvement in operation and implementation of the family planning programme, increase in female literacy rate and enhancement of women social status can help reduce population growth and poverty. The demographic window argument is far-fetched and irrelevant to Pakistan. A redistribution of agriculture land through radical changes in land tenure coupled with corresponding changes in rural institutions that direct production are expected to help reduce poverty significantly and also improve socio-economic scene in the rural areas. A sound population policy coupled with political motivation can take care of rapid population growth and poverty.

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Section: Poverty Statusmentioning

confidence: 99%

Population and Poverty Nexus in Pakistan

Afzal¹,

Awais

2014

JISR-MSSE

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“…Family size is used to adjust household income for the number of people sharing the budget. It is also widely held view that larger families tend to be poorer (Arif and Farooq, 2012;Lanjouw and Ravallion, 1995;Mohd and Riaz, 2012). That is, if a family consists of many children, then parents will spend profuse time in taking care of their children.…”

Section: Data and Variablesmentioning

confidence: 92%

“…However, if a family has many employed adults, the family will increase the income of the household. As Arif and Farooq (2012) pointed out, size of the family was studied as one of the explanatory variables in our model. The widely accepted view is that there is a negative correlation between dependency ratio and household average income (see, e.g., Arif and Farooq, 2012;Mohd and Riaz, 2012).…”

Section: Data and Variablesmentioning

confidence: 99%

“…As Arif and Farooq (2012) pointed out, size of the family was studied as one of the explanatory variables in our model. The widely accepted view is that there is a negative correlation between dependency ratio and household average income (see, e.g., Arif and Farooq, 2012;Mohd and Riaz, 2012). In the context where the parents spend higher proportion of income and time for their children's education, that will decrease the family income.…”

Section: Data and Variablesmentioning

confidence: 99%

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Impacts of NGO intervention on poverty reduction: an empirical evidence from rural Sri Lanka

Vinaygathasan

Pallegedara

2014

IJSE

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This study examines the level of poverty and NGOs' poverty alleviation efforts in the context of rural Sri Lanka with an emphasis on the impact of poverty alleviation programmes implemented by ten NGOs in 15 villages in Vavuniya District. The data were collected by household survey from beneficiaries, and key informant interviews with officials from NGOs and government organisations. Fixed effect income estimation method and Probit poverty regression model were administrated to check out whether there is a significant improvement in the economic condition of the beneficiaries. Accordingly, the findings of the descriptive analysis reveal that NGOs' intervention in the poverty alleviation programmes resulted in the considerable improvement in the living standard of the people in the study area. In particular, household income, level of education, and health facilities seem to be improved after the introduction of the NGO activities in the study area. The results of the statistical estimation indicate that the educational level of the household members has a positive impact on the household income in reducing poverty. On the other hand, internal conflict between government forces and Tamil tiger rebels had hindered the income generating activities of the households and therefore, the probability of being under the poverty has increased.

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“…education is reflected as critical variable recognizing the poor from the non-poor (Arif and Farooq, 2012). The fraction of water is 15.73 %.…”

Section: Single Deprivation Analysis For Each Dimensionmentioning

confidence: 99%

Multidimensional Overlapping Deprivation Analysis of Children in District Sargodha (Pakistan)

Shabir

Rahim

2017

International Journal of Asian Social Science

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Article HistoryThis study provides estimates of multidimensional child deprivation in Tehsil Kot Momin, District Sargodha. National Multidimensional Overlapping Deprivation Analysis (N-MODA) Methodology introduced by United Nations International Children's Emergency Fund (UNICEF) is adopted in this study. Children are divided into two age groups, below 5 years of age and 5 to 17 years of age for analysis of seven multidimensions and six multi-dimensions of deprivations in both groups respectively. A survey is conducted in Kot Momin from sample of 387 children selected through cluster sampling. Selection of dimensions and indicators for survey questionnaire are also based on UNICEF and Children Rights Conference (CRC) and step by step guideline of MODA methodology. In children of first age group 92.78% are deprived in at least one basic dimension. At the cutoff point (deprivation benchmark) of this age group, 47.42% are deprived in four or more dimensions, while one out of ten children (10.4%) is deprived in six dimensions. In children of second age group 76.4% are deprived in at least one basic dimension and at cut off point (deprived in three or more dimensions) around one in four (25.8%) children is deprived. Overall results show that the first age group had more vulnerable condition.Contribution/ Originality: This is a unique study on poverty which makes an overlapping derivation analysis.The dimensions and indicators of poverty have been calculated using most sophisticated tools adopted by UNICEF and Children Rights Conference (CRC) by applying MODA methodology. This is one of the very few studies which have tested most advanced techniques in the least developed areas of Pakistan. The findings will help decision makers in tackling problem of poverty and deprivation in a single go.

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Rural Poverty Dynamics in Pakistan: Evidence from Three Waves of the Panel Survey

Cited by 26 publications

References 17 publications

Population and Poverty Nexus in Pakistan

Population and Poverty Nexus in Pakistan

Impacts of NGO intervention on poverty reduction: an empirical evidence from rural Sri Lanka

Multidimensional Overlapping Deprivation Analysis of Children in District Sargodha (Pakistan)

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