Purpose This study aims to estimate the determinants of household spending on education and nutrition. Education and nutrition are noteworthy elements for human development and welfare. Separate estimates are being provided for male and female as gender determines household welfare and gender-based analysis of household spending evaluates the aptitude of decision power as well as measures their influential role in human welfare. Design/methodology/approach Fruits, milk and dairy products are taken as proxy of substantial portion of nutrition. The study used primary urban household-level data that collected from Faisalabad city. The authors used double hurdle model. Findings The findings of the study show that females are more likely to spend on education. Household size and number of children negatively determine the household spending on education and nutrition. Number of employed household members, level of income and education are positively associated with household spending on education and nutrition by male- and female-headed households. A very low public spending on education and nutrition have led to upsurge the hurdles of households in Pakistan. Practical implications The study recommends that government should provide the employment opportunities, especially for females for stable and increased household income that leads to improve the household welfare. Originality/value Several studies have examined the education spending (Mbanefoh et al., 1997; Ichoku and Leibbrandt, 2003; Donkoh and Amikuzuno, 2011; Cisse, 2011), but these studies ignored to investigate the gender role and household spending on nutrition and education. This study is crucial in drawing suitable policy recommendations for household welfare. This study filled the gaps and scrutinized the issues that interrelated with household spending.
Purpose This study aims to analyze access of cotton growers to Sustainable Livelihoods Assets Pakistani Punjab. Design/methodology/approach This study uses the department for international development (DFID’s) sustainable livelihoods framework (DFID) (1999). Where data collection was done by using a well-structured questionnaire from 200 randomly selected cotton growers of the district Muzaffargarh. There are five livelihood assets (human assets, natural assets, financial assets, physical assets and social assets) in the SLF, this study has used three different indicators/proxies for each asset except natural assets, where four indicators were used to capture the salient features of the respondents’ access to that assets. Each indicator was given a weight by using the entropy technique to keep the consistency of the quantification. Livelihood assets indices were calculated in case of each livelihood asset for conducting Livelihood Assets Pentagon Analysis. Value of livelihood index ranged from 0–4. Findings Livelihoods Assets Pentagon analysis shows that cotton growers do not have proper access to all five livelihood assets. The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897). Originality/value This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. The study contains significant and new information.
This document describes work undertaken as part of a programme of study at the International Institute for Geo-information Science and Earth Observation. All views and opinions expressed there in remain the sole responsibility of the author, and do not necessarily represent those of the institute.
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