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Ali, A.

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Ali
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Ali, A.
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Keyword: Propensity Score Matching × Author: Rahut, D.B. ×

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Now showing 1 - 2 of 2
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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.
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    Impact of agricultural extension services on technology adoption and crops yield: empirical evidence from Pakistan
    (Asian Economic and Social Society, 2013) Ali, A.; Rahut, D.B.
    The present study was carried out in the rice-wheat area of Pakistani Punjab. The data for the study was collected from three main districts of central Punjab Province i.e. Gujranwala, Sheikhupura and Hafizabad. In total 234 farmers were interviewed. The impact of agricultural extension services was estimated on adoption of new improved technologies and crop yields. The propensity score matching approach for impact evaluation was employed in the current study to correct for potential sample selection biasedness that may arise due to systematic differences between the farmers having benefited from agricultural extension services and not benefited from agricultural extension services. The empirical results indicate that agricultural extension services play a significant role in adoption of improved agricultural technologies like laser leveling, rice and wheat varieties. The farmers having benefitted from agricultural extension services were also getting higher rice and wheat yields. The results also indicates that mostly the large farmers are getting benefits from agricultural extension services and small scale farmers have less access to agricultural extension services.
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