Person: Ali, A.
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Ali
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Ali, A.
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0000-0001-8050-4492 2 results
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- Impact of direct rice-sowing technology on rice producers' earnings: empirical evidence from Pakistan(Taylor & Francis, 2014) Ali, A.; Erenstein, O.; Rahut, D.B.Using the comprehensive data set collected from 238 rice producers during 2011, this study estimates the impact of direct seeding of rice-sowing technology on rice and wheat crop yields and farmers' earnings in Pakistan. The propensity score-matching approach was employed to correct for potential sample selection bias that may arise due to systematic differences between the adopters and non-adopters of the direct rice-sowing technology. The empirical results indicate that the adopters of the direct rice-sowing technology have higher rice and wheat crop yields as compared to non-adopters. The rice yields are high, in the range of 8–9 maunds per acre, while the wheat yields are higher, in the range of 2–3 maunds per acre, indicating that the direct rice-sowing technology also has a positive impact on the following wheat crop. Results show that the adopter households have a higher income compared to non-adopter households. Most importantly, the new technology is a water-saving technology and on average it requires four times less irrigation than the traditional rice transplanting method. With the direct rice-sowing technology, the demand for skilled labor was less compared to the traditional transplanting method. However, the new technology is associated with a weed control problem, which needs to be addressed in order to maximize the benefits from the new technology.
Publication - Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan(Elsevier, 2017) Ali, A.; Erenstein, O.Climate change is set to be particularly disruptive in poor agricultural communities. We assess the factors influencing farmers’ choice of climate change adaptation practices and associated impacts on household food security and poverty in Pakistan using comprehensive data from 950 farmers from its major provinces. A probit model was used to investigate the factors influencing the use of climate-change adaptation practices; the censored least absolute deviation (CLAD) was used to analyze the determinants of the number of adaptation practices used; and a propensity score matching (PSM) approach was employed to evaluate the impact of adaptation practices on food security and poverty levels. Adjustment in sowing time (22% households), use of drought tolerant varieties (15%) and shifting to new crops (25%) were the three major adaptation practices used by farmers in the study area. Results show that younger farmers and farmers with higher levels of education are more likely to use these adaptation practices, as do farmers that are wealthier, farm more land and have joint families. The number of adaptation practices used was found to be positively associated with education, male household heads, land size, household size, extension services, access to credit and wealth. Farmers adopting more adaptation practices had higher food security levels (8–13%) than those who did not, and experienced lower levels of poverty (3–6%). Climate change adaptation practices at farm level can thereby have significant development outcomes in addition to reducing exposure to weather risks.
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