Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Nutritional Demand and Consumption Pattern: A Case Study of Pakistan
Nutrition problems persist over several decades in most developing countries. Poor and vulnerable households in low-income countries do not have sufficient disposable sources to access adequate and diverse diets. This study analyzes the household nutrition consumption patterns in Pakistan at a provincial level. The log-linear Engel’s curve approach is applied using household-level data comprising 16,340 households from the Pakistan Household Integrated Expenditure survey (HIES) between 2018 and 2019. The results of the estimated income and household size elasticities reveal that any variation in the households’ income brings major changes in their diets, whereas an increase in household size, ceteris paribus (impact of all other factors are held constant), increases the demand for all nutritional intakes except thiamine and cholesterol. Furthermore, the estimated income elasticities for the four provinces provided similarities and differences in the nutritional consumption patterns of households. On the basis of income elasticities, we find the same nutrition pattern in Sindh and Baluchistan and a similar nutrition pattern in Khyber Pakhtunkhwa and Punjab. Finally, the estimated income elasticities show poor nutritional consumption patterns in Sindh and Baluchistan as compared to Punjab and Khyber Pakhtunkhwa. Thus, there is a need to generate nutritional policies in each province, and people should make wise nutrient-dense choices from all food commodities groups. Moreover, this study applies a unique approach to estimate the income elasticities for 17 nutrients using household survey data within the same framework of Engel’s curve. The findings of this study have important implications for public policy aiming at malnutrition alleviation and understanding dietary change in Pakistan.
Nutritional Demand and Consumption Pattern: A Case Study of Pakistan
Nutrition problems persist over several decades in most developing countries. Poor and vulnerable households in low-income countries do not have sufficient disposable sources to access adequate and diverse diets. This study analyzes the household nutrition consumption patterns in Pakistan at a provincial level. The log-linear Engel’s curve approach is applied using household-level data comprising 16,340 households from the Pakistan Household Integrated Expenditure survey (HIES) between 2018 and 2019. The results of the estimated income and household size elasticities reveal that any variation in the households’ income brings major changes in their diets, whereas an increase in household size, ceteris paribus (impact of all other factors are held constant), increases the demand for all nutritional intakes except thiamine and cholesterol. Furthermore, the estimated income elasticities for the four provinces provided similarities and differences in the nutritional consumption patterns of households. On the basis of income elasticities, we find the same nutrition pattern in Sindh and Baluchistan and a similar nutrition pattern in Khyber Pakhtunkhwa and Punjab. Finally, the estimated income elasticities show poor nutritional consumption patterns in Sindh and Baluchistan as compared to Punjab and Khyber Pakhtunkhwa. Thus, there is a need to generate nutritional policies in each province, and people should make wise nutrient-dense choices from all food commodities groups. Moreover, this study applies a unique approach to estimate the income elasticities for 17 nutrients using household survey data within the same framework of Engel’s curve. The findings of this study have important implications for public policy aiming at malnutrition alleviation and understanding dietary change in Pakistan.
Nutritional Demand and Consumption Pattern: A Case Study of Pakistan
Naveed Hayat (Autor:in) / Ghulam Mustafa (Autor:in) / Bader Alhafi Alotaibi (Autor:in) / Abou Traore (Autor:in)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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