What is the impact of rural bank credit access on the technical efficiency of smallholder cassava farmers in Ghana? An endogenous switching regression analysis

Missiame, Arnold; Nyikal, Rose Adhiambo; Irungu, Patrick

doi:10.1016/j.heliyon.2021.e07102

Cited by 30 publications

(33 citation statements)

References 40 publications

(51 reference statements)

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“…This study advises that farmers improve their seed quality to achieve maximum output. This finding agrees with Missiame, Nyikal, and Irungu (2021), who employed the stochastic frontier method and found a positive and significant impact of seed on cassava production in Ghana. Furthermore, organic fertilizers had a negative and significant impact on cassava output.…”

Section: Stochastic Frontier Estimationsupporting

confidence: 91%

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

Syafrial

Toiba

Rahman

et al. 2021

5005

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The adoption of technological innovations, such as an improved variety, has been widely promoted worldwide to improve agricultural productivity. This study aimed to examine factors affecting farmers’ decision to adopt a new improved cassava varieties (NICV), and to estimate the effects of NICV adoption on farmers’ technical efficiency. This research used cross-sectional data from 300 cassava farmers in East Java, Indonesia. Furthermore, the data were analyzed by probit regression to examine factors affecting farmers’ decision to adopt NICV. Propensity score matching (PSM) procedures and stochastic frontier analysis were applied to evaluate the impact of NICV adoption on farmers’ technical efficiency. The results indicated that adoption was highly influenced by cooperative membership, access to credit, internet access, certified land, and off-farm work. The stochastic frontier analysis, by controlling the matched sample using PSM procedures, demonstrated that NICV adoption positively and significantly impacted farmers’ technical efficiency. Those who adopted NICV showed a higher technical efficiency level than those who did not. This finding implies that improved varieties could be further promoted to increase productivity. The research suggests that there is a need to improve NICV adoption to increase the levels of technical efficiency and productivity.

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Section: Stochastic Frontier Estimationsupporting

confidence: 91%

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

Syafrial

Toiba

Rahman

et al. 2021

5005

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“…The positive relationship implies that the importance of credit in agricultural production allows producers to satisfy the cash needs caused by the production cycle of land preparation, planting, cultivation, and harvesting. The result is similar to [33,39] results which stated that access to credit potentially ensures the adoption of new varieties and other inputs which increased crop productivity.…”

Section: Factors Affecting Tomato Productivity Of Smallholder Farmerssupporting

confidence: 83%

“…The result showed that only 20.00% of sampled household heads utilized credit for increasing tomato production. In this vein, [33] argued that smallholder farmers used credit availability as the best option to diversify their economic activities and increase financial resources to purchase agricultural inputs.…”

Section: B Effect Of Socio-economics and Farm Tomato Productionmentioning

confidence: 99%

Factors Affecting Tomato Productivity in Western Oromia, Ethiopia: Evidence from Smallholder Farmers

2022

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Tomato is one of the most important fruit vegetable crops in Ethiopia supporting the livelihood and improving the economic life of many farmers. However, the productivity of the crop is low due to poor production management practices, limitations in the availability of pesticides and fungicides, limitations to access information, market fluctuation, and shelf life of the crop. The study was undertaken in western Oromia to understand major factors affecting the tomato productivity of smallholder farmers. It was based on the cross-sectional data collected from 135 randomly selected farmers during the 2019/20 cropping season. The data were analyzed using descriptive statistics and an econometric model. The result depicted that the productivity of tomatoes was significantly affected by inputs like labor, oxen power, fertilizer, and pesticides. From the OLS result, gender, education, family size, off/non-farm activities, farm experience, livestock holding, extension access, credit access, and market/traders information positively affected tomato productivity, while age and field distance was affected negatively. The variety and biotic factors affected the tomato productivity of smallholder farmers positively and negatively, respectively. The findings will be helpful for tomato producers, private companies, and other sectors that participated in crop production by solving the above important variables.

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“…This implies that, as the access to agricultural credit increases, the likelihood of the farmers' awareness of the technology and their adoption of the improved wheat varieties also increases. Previous literature has recognized the potentials of credit in enhancing the farmers' awareness and their adoption of the improved wheat varieties [56]. The primary reason for the farmers' low levels of awareness and their decisions to adopt, or to adopt poorly, is identified by the studies as poverty, whereas credit helps to alleviate financial constraints and enables farmers to access agricultural technologies [46,57].…”

Section: Factors Affecting Farmers' Awareness and Adoption Of Innovationmentioning

confidence: 99%

Determinants of Farmers’ Awareness and Adoption of Extension Recommended Wheat Varieties in the Rainfed Areas of Pakistan

2022

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Scientific evidence suggests that there is room for eradicating poverty and hunger by increasing food production through the adoption of modern agricultural practices by farmers. This study aimed, first, to explore the relationship between the farmers’ awareness and adoption of improved wheat varieties. Second, it aimed to find the key factors that govern the farmers’ awareness and adoption of extension-recommended innovations in the rainfed cropping system of the Khyber Pakhtunkhwa, Pakistan. Data were collected from 395 respondents. A binary logit model was used to analyze the effect of the farmers’ socioeconomic and farm-specific characteristics on their awareness and adoption of the extension-suggested wheat varieties. Moreover, qualitative data from 40 key informants were collected for in-depth analysis. The results show a strong association between the farmers’ awareness of a technology (improved wheat varieties) and its adoption. The results of the logit model show that their extension contacts, income from agriculture, and access to credit positively affected the farmers’ awareness, whereas their education and household sizes negatively affected their awareness. Moreover, the factors that positively influenced the farmers’ decision to adopt the technology included the extension contact, the confidence in the extension, the risk-bearing attitude, and the credit access, whereas the household size and education negatively affected it. The results of the key informant interviews reveal that the high incidence of poverty, the low soil fertility, the farmers’ inability to make effective decisions, the lack of accurate weather predictability in the rainfed farming system, the lack of government interest, and the asymmetric information in the inputs markets contributed to the farmers’ low levels of awareness and to their poor adoption of improved agricultural technologies. These results indicate that any intervention aimed at the awareness and adoption by farmers of improved technologies, such as new wheat varieties, should recognize the heterogeneity in the farmers’ socioeconomic and farm-specific characteristics.

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What is the impact of rural bank credit access on the technical efficiency of smallholder cassava farmers in Ghana? An endogenous switching regression analysis

Cited by 30 publications

References 40 publications

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

Factors Affecting Tomato Productivity in Western Oromia, Ethiopia: Evidence from Smallholder Farmers

Determinants of Farmers’ Awareness and Adoption of Extension Recommended Wheat Varieties in the Rainfed Areas of Pakistan

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