Analysis of Technical Efficiency and Its Determinants among Small Scale Rice Farmers in Patigi Local Government Area of Kwara State, Nigeria

Oladimeji, Y. U.; Abdulsalam, Z.

doi:10.9790/2380-0333439

Cited by 20 publications

(15 citation statements)

References 3 publications

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“…Age has a negative but not significant effect on the level of technical inefficiency which indicates that the older the farmer, the more technically efficient. The results of this study are consistent with other findings [19].…”

Section: Technical Inefficiencysupporting

confidence: 94%

Determinants of Technical In-efficiencies in Swamp Rice Farming - Ciamis District, Indonesia

2021

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Rice farming in swamps, a marginal land, has a relatively high risk related to the level of technical efficiency. This research was conducted with the aim of identifying the level of technical efficiency and the influence factors of technical inefficiency in Lakbok Subdistrict, Ciamis District, Indonesia. Simple random sampling was used with a sample size of 41 farmers. The analysis was carried out using a stochastic frontier function. The results showed that the average level of technical efficiency was 0.78. Education and family size have a significant effect on technical inefficiency.

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Section: Technical Inefficiencysupporting

confidence: 94%

Determinants of Technical In-efficiencies in Swamp Rice Farming - Ciamis District, Indonesia

2021

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“…Those values explained that chance to produce rice at its highest potential yield until maximum one can be obtained by farmers with the most technically efficient. The technical efficiency value of Inpago Unsoed-1 and Situbagendit rice farming in Central Java is lower than the value of technical efficiency of rice farming in Vietnam which has an average of 0.816 (Khai & Yabe 2011), Alam (2015); Cambodia which has an average 0.784 (Kea & Pitch 2016), Meenasulochani et al (2018) but higher than research (Al-hassan 2012; Koirala et al 2013;Oladimeji & Abdulsalam 2013;Bhatt & Bhat 2014;Binuyo et al 2016;Saysay et al 2018). Farmers of Inpago Unsoed-1 and Situbagendit rice varieties might increase the technical efficiency around 25% at technology level and input and 27% at technology level, respectively.…”

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confidence: 82%

Production efficiency of Inpago Unsoed-1 and Situbagendit rice farming in Central Java, Indonesia

et al. 2020

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Abstract. Mulyani A, Darwanto D, Widodo S, Masyuri. 2020. Production efficiency of Inpago Unsoed-1 and Situbagendit rice farming in Central Java, Indonesia. Biodiversitas 12: 3276-3286. Inpago Unsoed-1 rice is a new superior rice variety that is not as familiar as Situbagendit variety for farmers in Indonesia. As one of the new superior rice variety, Inpago Unsoed-1 is expected to improve farm business efficiency so that it can increase farmers' income. This study was conducted to figure out the factors influencing the production of Inpago Unsoed-1 and Situbagendit rice in Province of Central Java, and to recognize the level of technical, allocative and economic efficiencies of Inpago Unsoed-1 and Situbagendit rice farming in Province of Central Java. Research sites included selected regencies in Province of Central Jawa, such as Banyumas, Purbalingga, and Cilacap. Meanwhile, the selected districts were Kalibagor (Banyumas); Kalimanah, Kemangkon, Bukateja, Kutasari, Kaligondang, and Bobotsari (Purbalingga); and Gandrungmangu (Cilacap). Data were collected by direct observation and interviews using semi-structured questionnaire. The sampling technique used non-probability sampling using a purposive sampling method. Data were collected during December 2018-May 2019, 147 farmers were sampled, consisting of 71 and 76 farmers for Inpago Unsoed-1 and Situbagendit, respectively. Data were analyzed by using Cobb-Douglas production function and function of Stochastic Frontier. The results showed that production factors of land acreage (ha) and P fertilizer (kg) positively affected the production of Inpago Unsoed-1 rice, whereas seeds (kg), N fertilizer (kg) and pesticide (l) had negative impact on its production. On Situbagendit rice production, the positive and negative effects were revealed by land acreage (ha) as well as pesticide (l) and N fertilizer (kg), respectively. Technical, economic, and allocative efficiencies on Inpago Unsoed-1 rice farming were 0.75, 0.65, and 0.88, respectively, which were higher than those of Situbagendit, i.e. 0.73, 0.54 and 0.75, respectively.

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“…This is because Nigeria has ideal climatic conditions, which are akin to that of South East Asia where the crop is produced for export (Ajoma et al, 2016). Since a large portion of maize crops are grown for the purpose other than human consumption; rice is the most important grain with regard to human nutrition and calorie intake (Oladimeji and Abdulsalam, 2013). Rice provides more than one fifth of the calorie consumed worldwide by human species, though relatively lower in protein compare to other cereals, it contains a better balance of amino acids (Oladimeji and Abdulsalam, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Nigeria is the leading consumer and largest producers of rice in Africa and simultaneously one of the largest rice importers in the world. As well as an important food security crop, it is an essential cash crop for it is mainly produced by small-scale producers who commonly sell about 80 per cent of total production and consume only about 20 per cent (Oladimeji and Abdulsalam, 2013). However, domestic supply of rice has continued to fall short of demand and importation is undertaken to make up the shortfall.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Efficiency Among Rice Farmers in Oyo State, Nigeria

Adeshina

Ologbon

Idowu

2020

AJSN

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Increased rice productivity for years is not a solution if rice farming efficiency cannot be sustained for the next hundred years. The study analysed the efficiency of rice farmers in Oyo State. A multistage sampling procedure was employed to select 128 rice farmers for the study. Primary data were obtained with the aid of well-structured questionnaire and interview schedule. Descriptive statistics and stochastic frontier model were employed in the analysis of the data. Majority (78.1%) of the rice farmers had one form of education or the other while the age of rice farmers ranges from 25 to 78 years and mean age of 47 years. The stochastic frontier results (Maximum Likelihood Estimates) revealed that farm output increases with farm size, hired labour, and fertilizer but decreases with herbicides. Also, technical efficiency of the farmers increases with formal education, farming experience, household size, extension contact and distance of farm to market. The mean technical efficiency, allocative efficiency and economic efficiency of 88.5 percent, 66.9 percent and 58.3 percent respectively showed that there is room for improvement in technical efficiency by 11.5 percent, allocative efficiency by 33.1 percent and economic efficiency by 41.7 percent with the present technology. Policy option requires the rice farmers to reduce the use of agro chemical. Farmers should expand their farm land to ensure efficient utilization of resources. Above all, formal education and adult literacy education should be strengthened among the rice farmers.

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Analysis of Technical Efficiency and Its Determinants among Small Scale Rice Farmers in Patigi Local Government Area of Kwara State, Nigeria

Cited by 20 publications

References 3 publications

Determinants of Technical In-efficiencies in Swamp Rice Farming - Ciamis District, Indonesia

Determinants of Technical In-efficiencies in Swamp Rice Farming - Ciamis District, Indonesia

Production efficiency of Inpago Unsoed-1 and Situbagendit rice farming in Central Java, Indonesia

Analysis of Efficiency Among Rice Farmers in Oyo State, Nigeria

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