Poverty assessment of farming community in rice wheat zone of Punjab, Pakistan

Muhammad Adnan Amin, Muhammad Kamran Afzal


Purpose. Poverty in Pakistan mostly exists as a rural poverty rather than urban poverty and presents a desolate vision. Rural poverty shows divergence with respect to area, region or any other administrative division. The tenacious rise of rural poverty in the history of Pakistan with some omissions, it affords plenty of material and remains a lot of questions related to poverty in the mind of researchers. The current study focused on three main poverty measures i.e. incidence, depth and severity of rural poverty in the rice-wheat zone of Punjab, Pakistan (Middle Punjab).

Methodology / approach. To overcome the existing poverty issues in the area, we utilize secondary datasets at districts, regions, provinces or at national levels collected from Pakistan Bureau of Statistics, Islamabad (PBS). Poverty assessment for the year 2011–2012 is analyzed through Foster Greer and Thorbecke (FGT) method. Moreover, the Logit model is also used to find out the empirical values existing in the datasets.

Results. The fluctuations in rural poverty for the year 2011–12 in the existing zone was analyzed by using logit regression model and data source was Household Integrated Economic Survey (HIES). The incidence of uni-dimensional and multidimensional poverty in middle Punjab (2011–12) were 35.38 and 27.40 percent has been seen after estimations.

Originality / scientific novelty. The education level, health services, availability of assets, facilities and age of household head are the key factors related to incidence, depth and severity of poverty. All the above mentioned factors have negative relation with poverty measures.

Practical value / implications. The decline in poverty can be achieved via implementation of sharp economic activities including the dimensions as analyzed in the manuscript. At this point, policy makers did not pay attention on the key factors that influence rural poverty at regional levels. There is a dire need to make development in basic standards of life to alleviate poverty in a long way in the middle Punjab.


Uni-dimensional poverty; multidimensional poverty; middle Punjab; Pakistan.

Full Text:



Government of Pakistan. Economic affairs division (2013–2014), Economic survey of Pakistan: Poverty and Social Safety Nets. Economic advisory wing, Ministry of finance, Islamabad, Pakistan, available at: http://www.finance.gov.pk/survey_1314.html.

Government of Pakistan. Economic affairs division (2009–2010), Economic survey of Pakistan: Poverty. Economic advisory wing, Ministry of finance, Islamabad, Pakistan, available at: http://www.finance.gov.pk/survey_0910.html.

Bank, W. and Fund, I. M. (2016), Global monitoring report 2015/2016: Development goals in an era of demographic change. Washington, DC: World Bank.

UNDP (2015), The Millennium Development Goals Report, available at: http://www.un.org/millenniumgoals/2015_MDG_Report/pdf/MDG%202015%20rev%20(July%201).pdf.

Sial, M. H., Noreen, A. and Awan, R. U. (2015), Measuring multidimensional poverty and inequality in Pakistan. The Pakistan Development Review, 54(4 Part II), pp. 685–698.

Arif, G. M. and Farooq, S. (2011), Background study for the IDB group MCPS document for Pakistan. Poverty, Inequality and Unemployment in Pakistan. Dhul-Qa'dah: Pakistan Institute of Development Economics and Islamic Development Bank, pp. 1–75.

Afzal, M. K. and Mohsin, A. Q. (2018), Water availability from small dams in Pothwar plateau of Punjab, Pakistan. Journal of Applied Agriculture and Biotechnology, vol. 2(2), pp. 45–53.

Foster, J., Greer, J. and Thorbecke, E. (1984), A class of decomposable poverty measures. Econometrica: journal of the econometric society, vol. 52, no. 3, pp. 761–766.

Sen, A. K. (1999), Multidimensional poverty: Conceptual and measurement issues. Oxford University Press, Oxford, UK.

Von Braun, J., Hill, R. E. and Pandya-Lorch, R. eds. (2009), The Poorest and Hungry: Assessments, Analyses, and Actions: an IFPRI 2020 Book. Intl Food Policy Res Inst.

Khan, A., Saboor, A., Ahmad, S. and Ali, I. (2011), Mapping and measuring of multidimensional poverty in Pakistan: empirical investigations. Pakistan Journal of Life and Social Sciences, vol. 9(2), pp. 121–127.

Chaudhry, I. S., Malik, S. and Hassan, A. U. (2009), The impact of socioeconomic and demographic variables on poverty: A village study. The Lahore Journal of Economics, vol. 14(1), pp. 39–68.

Salahuddin, T. and Zaman, A. (2012), Multidimensional poverty measurement in Pakistan: time series trends and breakdown. The Pakistan Development Review, vol. 51(4), pp. 493–504.

Achia, T. N., Wangombe, A. and Khadioli, N. (2010), A logistic regression model to identify key determinants of poverty using demographic and health survey data. European Journal of Social Sciences, vol. 13(1), pp. 38–45.

Dudek, H. and Lisicka, I. (2013), Determinants of poverty–binary logit model with interaction terms approach. Ekonometria, vol. 3(41), pp. 65–77.

Zahra, K. and Zafar, T. (2015), Marginality and Multidimensional Poverty: A Case Study of Christian Community of Lahore, Pakistan. Pakistan Journal of Commerce & Social Sciences, vol. 9(2), pp. 322–335.


  • There are currently no refbacks.

This journal is published under the terms of the Creative Commons Attribution Licens 4.0 International (CC BY 4.0).


© Agricultural and Resource Economics: International Scientific E-Journal, 2015–2018.