DECOMPOSITION OF SOCIO-ECONOMIC CHANGE IN MICRONUTRIENTS IN PAKISTAN BETWEEN 2015-16

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NAEEM SHAHZAD, TAYYABA ZIA, HAFIZA RUKHSANA KHURAM, SHAHBAZ NAWAZ, AYESHA SADDIQ

Abstract

This study aimed to examine the relationship between income and nutrient consumption in Pakistan, and its impact on reducing malnutrition. The researchers analyzed data from the nationally representative Household Integrated Economic Survey conducted in 2015-2016. The study focused on changes in nutrient consumption, including total calories, macronutrients, and micronutrients, in response to changes in income. Various parametric regression methods were used to estimate the nutrition-income elasticity ratio for Pakistan. The findings of this study contribute to understanding the importance of income in ensuring adequate nutrition and preventing nutrition-related diseases, particularly in developing countries like Pakistan. The provision of high-quality food is a primary factor in ensuring adequate nourishment and preventing malnourishment-related diseases in Pakistan. This study, therefore, aimed to quantify the impact of income on nutrient consumption in Pakistan, with the hypothesis that income has a primary role in reducing malnourishment in the developing world. To do this, we estimated nutrient–income elasticity defined as the proportion of change in nutrient consumption in response to a change in income for total calories, macronutrients, and micronutrients, using the nationally representative Household Integrated Economic Survey data (2015–2016) for Pakistan. Nutrient–income elasticity values were derived using several parametric regression approaches.

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Author Biography

NAEEM SHAHZAD, TAYYABA ZIA, HAFIZA RUKHSANA KHURAM, SHAHBAZ NAWAZ, AYESHA SADDIQ

NAEEM SHAHZAD, TAYYABA ZIA, HAFIZA RUKHSANA KHURAM, SHAHBAZ NAWAZ, AYESHA SADDIQ

1*PST, School Education Department Govt. Of the Punjab, Pakistan. Department of Statistics, National College of Business Administration & Economics Lahore (NCBA&E) Sub–Campus Multan, Pakistan.

2Phd, School of Public Management, Yanshan University Qinhuangdao Hebei China.

2Govt. Post Graduate College for Women Samundri, GCU Faisalabad

3Bureau of Statistics Govt. of Punjab Planning and Development Department, Pakistan. School of Quantitative Sciences, Universiti Utara Malaysia, 06010 Kedah, Malaysia.

4PST, School Education Department Govt. Of the Punjab, Pakistan

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