Technical efficiency of hybrid maize growers: A stochastic frontier model approach

Ali, Irfan; Huo, Xuexi; Khan, Imran; Ali, Hashmat; Baz, Khan; Khan, Sufyan Ullah

doi:10.1016/s2095-3119(19)62743-7

Cited by 39 publications

(40 citation statements)

References 28 publications

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“…If improved seed is properly applied, it gives higher yield per hectare of maize production. Ali et al [6] found a result which is consistent with the current study.…”

Section: Seed Types Used (Imd)supporting

confidence: 93%

Analysis of technical efficiency in maize production in Guji Zone: stochastic frontier model

Belete

2020

Agric & Food Secur

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Background The Guji Zone in particular and Oromia region in general have a huge potential for crop production that can even contribute for the country as a whole in the struggle for achieving food security. Maize is Ethiopia’s largest cereal crop in terms of total production, acreage, and the number of farm holdings. It is one of the staple crops produced in the study area. However, the farm productivity per hectare is low compared to the national average which indicates the presence of farming inefficiency in the study area. Thus, this study was undertaken with the objective of estimating the level of farmers’ technical efficiency in maize production and identifying the factors which determine the variation in the level of technical efficiency among the farmers. Results This study was relied on the primary data collected from a sample of maize producing farm household of Adola Rede and Anna Sorra districts of the Guji Zone using a survey questionnaire. A simple random sampling technique was found appropriate for selecting the respondents, since the populations of these study area are homogeneous. The analysis was relied on a cross-sectional data collected from 234 sample farm households. A one-step stochastic frontier normal/truncated-normal model was used to estimate the farmers’ technical efficiency as well as to identify the determinants of yield per hectare of maize which was estimated by maximum-likelihood method. The empirical result indicates that there are large numbers of inefficient farmers in both districts. The estimated technical efficiency for maize producing farmers is equal to 69.03%. Besides, the current study revealed that 69.23% of maize producing farmers have been operating within a technical efficiency score interval equal to (0.5–0.75) in both districts. In addition, the maize yield per hectare in the study area is very low compared to the national average, i.e., the mean yield is 19.2 quintal per hectare. Moreover, the maximum-likelihood results show that gender of the head of the household, age of the head of the household, farm income, row planting, access to credit, number of active labor force, land size owned, access to improved seed and seed type used, and number of livestock were significantly determine the farmers technical inefficiency. Conclusion The results of the study revealed that there is an opportunity which is being squandered in maize production in the study area. For instance, with a given technology, it is possible to raise the maize yield per hectare by 30.07% in the study area. Thus, the government and any concerned stakeholders should facilitate access to improved seed and fertilizer, credit, farm technology, and short-term training. Besides, all stakeholders should work in a cooperative and organized manner to implement the full agricultural package on farm level.

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“…If improved seed is properly applied, it gives higher yield per hectare of maize production. Ali et al [6] found a result which is consistent with the current study.…”

Section: Seed Types Used (Imd)supporting

confidence: 93%

Analysis of technical efficiency in maize production in Guji Zone: stochastic frontier model

Belete

2020

Agric & Food Secur

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“…This finding is consistent with that of Addai and Owusu (2014), who found that access to extensions services improves the technical efficiency of smallholder maize farmers in Ghana. It is also in line with the findings of Ali et al (2019), who reported that extension services positively affect the technical efficiency of hybrid maize growers in Pakistan. The coefficient of distance to market is positive in the MMF model.…”

Section: Factors Influencing Technical Inefficiencysupporting

confidence: 91%

“…This implies that a 1% increase in the current level of labour employed by MMFs will lead to an increase of about 0.38% in yields. The positive contributions of labour and seed to cassava yield in this study is similar to the findings of Ali et al (2019) and Danso-Abbeam and Baiyegunhi (2020). The fact that some inputs are statistically significant in one model and insignificant in the other is also an indication that resource use varies across the two groups (MMF and FMF) and confirms the possibility of different production technologies.…”

Section: Gender-differentiated Translog Stochastic Frontier Estimatessupporting

confidence: 90%

Gender-differentiated stochastic meta-frontier analysis of production technology heterogeneity among smallholder cassava farmers in Ghana

Missiame¹,

Irungu²,

Nyikal³

2021

AfJARE

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This paper assesses the differences in technical efficiency of, and the cassava production systems employed by, male-managed (MMF) and female-managed (FMF) cassava farms in the Fanteakwa District of Ghana. The study employs the translog stochastic meta-frontier model to analyse data obtained from 300 randomly selected smallholder cassava farmers and finds an average metafrontier technical efficiency (MTE) of 0.06 and 0.03 among MMF and FMF respectively. The technology gap ratios (TGR) are 0.25 and 0.04 for the MMF and FMF respectively. The results suggest that both MMFs and FMFs are technically inefficient. However, the production technology operated on MMFs is relatively superior to that operated on FMFs, as shown by the relatively higher TGR for MMFs. The results also reveal that proximity to markets, extension access, off-farm economic activities and formal education are the major contributors to the technical efficiency of the farmers.

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“…Sedat & Zeki (2018) studied the situation of agricultural land in Turkey and found that small, broken, and scattered agricultural lands have led to a decline in agricultural productivity. Ali et al (2019) studied the corn production behavior of 510 farmers in the Khyber Pakhtunkhwa area, Pakistan, and analyzed the technical efficiency using a stochastic frontier model. It was found that land fragmentation has a significant negative impact on the technical efficiency of farmers' production.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance of community-based water-saving technology under land fragmentation: evidence from groundwater overexploitation in the North China Plain

Shi

Chang

2021

Water Policy

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The current water shortage crisis has necessitated an increased focus on improving the irrigation efficiency in groundwater overdraft areas. Consequently, the Chinese government has supported small farmers in installing community-based water-saving technologies (WSTs) providing high irrigation efficiency. Based on the data collected from 620 households located in the groundwater overdraft area of Hebei, North China Plain, this study conducts a stochastic frontier analysis to measure farmers' irrigation water use efficiency (WUE) and analyzes the impact of land fragmentation and WST types on their WUE. The results show that the average WUE of groundwater irrigation is 0.606. The WUE between community-based and household-based WSTs differs based on the degree of land fragmentation. A high degree of land fragmentation restricts community-based WSTs from efficiently improving farmers' WUE, whereas household-based WSTs perform better and are easier to adopt. For high land fragmentation, the WUE of the community-based WST is 9.12% lower than that of the household-based WST. However, the WUE of the community-based WST is 12.55% higher than that of the household-based WST when the degree of land fragmentation is low. Therefore, the government should pay attention to small farmers' adaptability toward WST and promote community-based WSTs on a low degree of land fragmentation.

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Technical efficiency of hybrid maize growers: A stochastic frontier model approach

Cited by 39 publications

References 28 publications

Analysis of technical efficiency in maize production in Guji Zone: stochastic frontier model

Analysis of technical efficiency in maize production in Guji Zone: stochastic frontier model

Gender-differentiated stochastic meta-frontier analysis of production technology heterogeneity among smallholder cassava farmers in Ghana

Performance of community-based water-saving technology under land fragmentation: evidence from groundwater overexploitation in the North China Plain

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