Productivity Impact Differential of Improved Rice Technology Adoption Among Rice Farming Households in Nigeria

Nguezet, Paul Martin Dontsop; Okoruwa, Victor O.; Adeoti, Adetola I.; Adenegan, Kemisola O.

doi:10.1080/15427528.2011.608246

Cited by 20 publications

(10 citation statements)

References 47 publications

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“…The development of high‐yielding rice varieties since the mid‐1960s has played a vital role in food security and livelihoods in developing countries. The success of these varieties has been characterised as a Green Revolution (Evenson & Gollin, 2003), with impact assessments for Asia (Hossain et al, 2006; Jin et al, 2002; Rahman, 2003; Umetsu et al, 2003; Villano et al, 2015; Yang et al, 2007) and Africa (Abiodun Elijah et al, 2017; Ayinde et al, 2009; Dontsop Nguezet et al, 2012; Minten & Barrett, 2008). These analyses confirm the significance of high‐yielding varieties in improving productivity.…”

Section: Introductionmentioning

confidence: 99%

Productivity impacts of hybrid rice seeds in Vietnam

Chau

Scrimgeour

2021

J Agricultural Economics

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Expanding the availability of hybrid rice varieties has been regarded as the most important measure addressing food security in developing Asian countries. The success story of hybrid rice production in China motivated the Vietnamese government to import hybrid seeds in an effort to increase rice productivity. Despite increased use of hybrid rice seeds and rising input intensity, rice productivity growth has slowed since 2006. Using a ten-year balanced panel of households with changing adoption status, we estimate productivity impacts of hybrid rice adoption. We combine propensity score matching in adoption decisions with fixed-effects estimators to control for heterogeneity in farming household and farmland characteristics. The frontier models are specified to allow for direct comparisons of the base productivity, factor productivity, and technical efficiency between hybrid and the current high-yielding varieties. Our major finding is that hybrid rice varieties provide no productivity superiority over high-yielding inbred seeds in our sample. A substantial technical efficiency gap (35%) exists in rice production, suggesting a potential benefit of improvements in management skills with the existing technology.

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Section: Introductionmentioning

confidence: 99%

Productivity impacts of hybrid rice seeds in Vietnam

Chau

Scrimgeour

2021

J Agricultural Economics

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“…Since farmers anticipate that they will share information with others, farmers are expected to be more likely to adopt when they know many other adopters. Dontsop-Nguezet et al (2012) used the local average treatment effect (LATE) to estimate the impact of adoption of improved rice varieties on rice farmers' productivity in the three major rice ecologies of Nigeria. Findings of the study indicate that adoption of improved varieties helped raise farmers' area harvested and yield per hectare, respectively, by 0.39 ha and 217.9 kg/ha for NERICA and 0.51 ha and 210.4 kg/ha for other improved varieties, thereby increasing their productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Adoption of Improved Technologies in Rice Production in Imo State, Nigeria

Onyeneke¹

2017

Afr. J. Agric. Res.

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In Imo State, an increasing number of improved rice production technologies and management techniques have been introduced to rice farmers across the State. Despite the introduction of the rice production technologies, rice production continues to be low. This study therefore analyzed factors associated with adoption of improved rice production technologies in Imo State of Nigeria. Random sampling technique was used in selecting one hundred and thirty (135) rice farmers from the communities where rice is produced in the State. Data were collected with the aid of a structured questionnaire, and analyzed using descriptive statistics and logit regression. The result obtained shows that 73.33, 67.41, 78.52, 86.67 and 45.4% of the rice farmers adopted improved rice varieties, use of agrochemicals, fertilizer application, optimum seed rate, and mechanical harvesting, respectively. Farmers' socioeconomic factors such as age, income, cooperative membership, household size, level of education, farm size and number of contacts with extension agents affected adoption. These key factors need to be taken into consideration when expanded program on technology adoption is to be considered.

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“…This may be one of the reasons the income of transferred-in households cannot increase significantly. [47][48][49][50] .We use a question from CHFS and CFD to test the technical constraints of transferred-in farmers. The CHFS included the question, "In what ways did you receive agricultural technical advice?"…”

Section: External Constraints Analysismentioning

confidence: 99%

Why is the Income Impact of Farmland Transfer Inconsistent Between Transferred-Out and Transferred-in Households?

Ke¹,

Cheng²,

Chen³

et al. 2023

Preprint

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Based on the 2013–2017 Chinese Family Database and China Household Finance Survey, the study examines the impact of farmland transfer on the income structure of agricultural households. We observe a significant rise in the income of transferred-out households, while that of transferred-in households is unchanged. A further empirical decomposition of income shows a significant increase in both the wage and asset generated incomes of transferred-out households. Although the income generated by transferred-in households through agricultural production and management increases significantly, the decrease in wage income is larger. The study’s empirical designs are robustly tested with propensity score matching and instrumental variables. Moreover, we conduct a comparative analysis of the external constraints faced by the two groups to explore the reasons for the divergence of the income effect. The results show that transferred-in households face highly pronounced external constraints in terms of capital, technology, and farmland size, while transferred-out households face relatively fewer impediments to non-agricultural employment. Our empirical results imply that external constraints can limit the social welfare improvements of agricultural land reform, suggesting that other complementary measures would be required for future policy improvements to work better.

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Productivity Impact Differential of Improved Rice Technology Adoption Among Rice Farming Households in Nigeria

Cited by 20 publications

References 47 publications

Productivity impacts of hybrid rice seeds in Vietnam

Productivity impacts of hybrid rice seeds in Vietnam

Determinants of Adoption of Improved Technologies in Rice Production in Imo State, Nigeria

Why is the Income Impact of Farmland Transfer Inconsistent Between Transferred-Out and Transferred-in Households?

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