Impact of improved rice varieties on household food security in Northern Ghana: A doubly robust analysis

Lu, Weina; Addai, Kwabena Nyarko; Ng’ombe, John N.

doi:10.1002/jid.3525

Cited by 34 publications

(26 citation statements)

References 49 publications

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“…However, smallholder farmers have limited resources and the government may have to help them with subsidized fertilizer as well as other inputs such as agrochemicals to help them expand their rice production scale. That the respective technical efficiency scores for rice farmers from both agro-ecological regions are still far from the stochastic meta-frontier is an indication of the need of governments and other relevant authorities to provide necessary rice production-related information to help reduce the gap [52][53][54][55]. Information may be provided through farmer trainings with a focus on relevant rice technologies, especially with the technologies that fit the working environment of the lagging area (i.e., upland).…”

Section: Discussionmentioning

confidence: 99%

Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria

et al. 2021

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The traditional approach to modeling productive efficiency assumes that technology is constant across the sample. However, farms in different regions may face different production opportunities, and the technologies they employ may differ due to environmental factors. Therefore, rather than using a traditional stochastic frontier model in such cases, a stochastic meta-frontier (SMF) analysis is recommended to account for environmental factors between regions. It follows that differences in environmental factors between the upland and lowland regions in Anambra State, Nigeria, may result in farmers producing rice under different production and environmental conditions. Using the SMF model, this study, for the first time, determines technical efficiency (TE) and technological gap ratios (TGRs) of rice production from the upland and lowland regions in the Awka North Local Government Area of Anambra State, Nigeria. Our data are from a cross-section sample of randomly selected rice farmers. Results reveal that lowland regional rice producers are on average, significantly more technically efficient (91.7%) than their upland counterparts (84.2%). Additionally, mean TGRs associated with lowland rice farmers are higher (92.1%) than their corresponding upland producers (84.7%). While the upland rice producers are less technically efficient and further away from their full potential, results indicate that both sets of farmers do not use advanced technologies to match the industry’s potential. We suggest that agricultural policy should focus on providing regionally specific technologies, such as improved rice varieties that fit the working environment of the lagging area, to help rice farmers improve their resource efficiency and minimize technological gaps.

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Section: Discussionmentioning

confidence: 99%

Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria

et al. 2021

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“…The AIPW model allowed for modeling both the treatment and the outcome such that if one was wrongly specified, the results would still be robust. Additionally, this method helped control selection bias at both the treatment and outcome levels (Lu et al, 2021). Regardless of these advantages over most impact assessment models, AIPW was less used among social scientists (Glynn & Quinn, 2010) and in particular, FBS impact studies.…”

Section: Methodsmentioning

confidence: 99%

The Nexus Between Cocoa Farmers’ Business Schools Participation and Impact to Support Livelihood Improvement Strategies in Ghana

et al. 2022

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The authors examined cocoa farmers’ participation in Farmer Business Schools (FBS) in Ghana, impacts of livelihood outcomes (human, physical, financial, and social capitals) on participation, and implications of participation on productivity and per capita expenditure. We used cross-sectional data from 150 cocoa farmers. Data was analyzed with descriptive statistics, heteroskedastic probit, and doubly robust augmented inverse probability weighted regression adjustment model (AIPW). More than half of cocoa farmers participated in FBS. Financial capital (income and loan accessibility) and social capital (farmer group membership) positively influenced participation in FBS. Nevertheless, human capital (ability to pay medical bills) and physical capital (number of sleeping rooms) negatively influenced participation in FBS. Knowledge and skills cocoa farmers obtained from FBS are new farming methods, creativity in solving farming problems, record keeping, and managerial skills. Participation in FBS had a positive impact and a heterogeneous effect on cocoa farmers’ productivity and per capita expenditure. Given that the impact of FBS was heterogeneous, the FBS curriculum and approach should be segmented for different types of farmers to the generic FBS approaches currently practiced.

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“…To mitigate this drop, Qatar continued with its initiatives in sourcing seeds, fertilizers, agrochemicals, marketing, loans with reduced interest rates, guidance and support for farms from alternative countries, and greenhouse vegetable farming (Monroe 2020;Ben Hassen et al 2020). For other agricultural produce such as cereals-which are important for food security for many countries in Middle East and Africa (Ben Hassen et al 2020;Lu et al 2021;Miniaoui et al 2018)-we observed that India was the leading cereal exporter to Qatar accounting for 34.9 percent of the total cereal import value over the study period. It was followed by Pakistan and Australia at 25.9 and 11 percent respectively.…”

Section: Discussionmentioning

confidence: 99%

Managing Food Imports for Food Security in Qatar

et al. 2022

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Faced with food supply disruptions due in part to geopolitics and political instability in its traditional food source markets in the Kingdom of Saudi Arabia and the United Arab Emirates, Qatar—a wealthy, highly import-dependent open economy—plans to identify a set of alternative markets that can assure it of a stable food supply chain and food security. This study develops a set of preferences and import substitution elasticities for the country’s four most important food categories: meats, dairy, vegetables, and cereals. We used quarterly food import data from 2004 to 2017 and the Restricted Source-Differentiated Almost Ideal Demand System (RSDAIDS) to estimate import-substitution elasticities for meats, dairy, vegetables, and cereals imported by Qatar. Based on our findings, India, Australia, and the Netherlands emerged as Qatar’s most competitive sources of food, followed by Brazil, Jordan, and Argentina. Qatar can assure sustained demand for food imports from the aforementioned countries in order to address its food security.

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Impact of improved rice varieties on household food security in Northern Ghana: A doubly robust analysis

Cited by 34 publications

References 49 publications

Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria

Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria

The Nexus Between Cocoa Farmers’ Business Schools Participation and Impact to Support Livelihood Improvement Strategies in Ghana

Managing Food Imports for Food Security in Qatar

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