Technical Efficiency Of Rice Farmers In Ebonyi State, Nigeria

2008 ◽  
Vol 3 (2) ◽  
Author(s):  
CE Onyenweaku ◽  
DO Ohajianya
Keyword(s):  
Technical Efficiency ◽  
Rice Farmers

Effects of Irrigation Modes on Technical Efficiency of Rice Farmers in Mali

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Diakalidia Kouyate ◽  
Kimseyinga Savadogo ◽  
Franck Cachia
Keyword(s):  
Technical Efficiency ◽  
Rice Farmers

scholarly journals Efisiensi Teknis Usaha Tani Padi di Provinsi Kepulauan Bangka Belitung

2019 ◽  
Vol 17 (2) ◽  
pp. 139
Author(s):  
Fitri Kartiasih ◽  
Adi Setiawan
Keyword(s):  
Technical Efficiency ◽  
Rice Seed ◽  
Rice Farming ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Land Preparation ◽  
Rice Productivity ◽  
Rice Farmers ◽  
Stochastic Production ◽  
Preparation Equipment

<p>Rice productivity in Indonesia varied greatly between provinces. Rice productivity in the Bangka Belitung Islands was the lowest figure compared to other provinces in Indonesia from 2013 to 2015. The purpose of this study was to provide an overview of rice farming, analyze the technical efficiency and its influencing factors of rice farming, and analyze the income level of rice farming in the Province of Bangka Belitung Islands. The data used in this study were raw data of the 2014 Household Survey of Rice Crop Farming (SPD 2014) conducted by Statistics Indonesia. The analytical method used was the Stochastic Production Frontier. The results showed that the factors influencing rice production were seeds, fertilizers, pesticides and the use of hired labours. The average level of technical efficiency of rice farmers was 20% of maximum production. This shows that rice farming was not yet efficient. Factors that negatively affect the technical efficiency of rice farming were those among other age of the farmer, land preparation equipment, ownership status of land preparation equipment and the planting system. The results of the study also showed that the more efficient the rice farming, the greater the farmers' income. To increase productivity through increasing technical efficiency, it is recommended that rice farmers are facilitated or supported to use a better quality of rice seed.</p><p> </p><p>Abstrak</p><p>Produktivitas padi di Indonesia sangat bervariasi antar provinsi, di mana produktivitas padi di Kepulauan Bangka Belitung menunjukkan angka terendah dibandingkan provinsi lain di Indonesia selama tahun 2013 hingga 2015. Tujuan penelitian ini antara lain untuk memberikan gambaran usaha tani padi di Provinsi Kepulauan Bangka Belitung, menganalisis efisiensi teknis usaha tani padi serta faktor-faktor yang memengaruhinya, dan menganalisis tingkat pendapatan usaha tani padi. Data yang digunakan dalam penelitian ini adalah <em>raw </em>data hasil Survei Rumah Tangga Usaha Tanaman Padi 2014 (SPD 2014). Metode analisis yang digunakan adalah <em>Stochastic Production Frontier. </em>Berdasarkan hasil penelitian menunjukkan bahwa faktor-faktor yang memengaruhi produksi padi di Kepulauan Bangka Belitung adalah penggunaan benih, pupuk, pestisida dan penggunaan pekerja dibayar. Rata-rata tingkat efisiensi teknis petani padi di Kepulauan Bangka Belitung adalah 20% dari produksi maksimum. Hal ini menunjukkan bahwa usaha tani padi belum efisien. Faktor-faktor yang berpengaruh negatif terhadap infesiensi teknis usaha tani padi adalah faktor umur petani, alat pengolahan lahan, status alat pengolahan lahan dan sistem tanam. Hasil penelitian juga menunjukkan bahwa semakin efisien usaha tani padi maka pendapatan petani juga semakin besar. Untuk meningkatkan produktivitas dengan cara meningkatkan efisiensi teknis, disarankan petani padi difasilitasi atau didorong untuk menggunakan benih yang berkualitas.</p>

scholarly journals Profitability Comparison Between Boro Rice and Maize Production in Dinajpur District

2021 ◽  
Vol 8 (1) ◽  
pp. 51-56
Author(s):  
Rozina Yeasmin ◽  
Mohammad Saidur Rahman ◽  
Mohammad Ismail Hossain
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Cost Ratio ◽  
Maize Production ◽  
Frontier Analysis ◽  
Benefit Cost Ratio ◽  
Rice Farmers ◽  
Benefit Cost ◽  
Boro Rice

The study focuses on comparing technical efficiency and profitability between Boro rice farmers and maize farmers in Dinajpur district consisting of 150 randomly collected samples which are analyzed with statistical software STATA 12.0 version. Stochastic Frontier Analysis (SFA) is used to accomplish the first objective where it is found that the maize farmers are efficient compared to boro-rice farmers. The deviation of the mean technical efficiency is estimated at 0.09. In addition maize farmers are also more profitable than boro-rice farmers estimated with a benefit Cost Ratio (BCR) of1.08 is for boro-rice and 1.26 is for maize production. The net profit for boro-rice is estimated as 10,527.60 Tk./ha whereas 28,966.40 Tk./ha for maize producers. However mean technical efficiency of boro-rice (0.44) and maize (0.53) cultivation clearly indicates that better utilization of resources will raise the efficiency and profitability for both crops production. Res. Agric., Livest. Fish.8(1): 51-56, April 2021

scholarly journals An Analysis of Technical Efficiency for Household's Rice Production in Cambodia: A Case Study of Three Districts in Battambang Province

2016 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Influencing Factors ◽  
Best Practice ◽  
Stochastic Frontier ◽  
Household Head ◽  
Rice Production ◽  
Primary Data ◽  
Rice Farmers ◽  
Plot Area ◽  
Frontier Production Function

The aims of this study are to measure the technical efficiency (TE) of Cambodian household&rsquo;s rice production and trying to determine its main influencing factors using the stochastic frontier production function. The study utilized primary data collected from 301 rice farmers in three selected districts of Battambang by structured questionnaires. The empirical results indicated the level of household rice output varied according to differences in the efficiency of the production processes. The mean TE is 0.34 which means that famers produce 34% of rice at best practice at the current level of production inputs and technology, indicates that rice output has the potential of being increased further by 66% at the same level of inputs if farmers had been technically efficient. Furthermore, between 2013-2015, TE of household&rsquo;s rice production recorded -14.3% decline rate due to highly affected of drought during dry season of 2015. Moreover, evidence reveals that land, fertilizer, and pesticide are the major influencing input factors of household&rsquo;s rice production, while disaster, education of household head, family size and other crops&rsquo; cultivated area are core influencing factors decreasing TE. Conversely, the main influencing factors increasing TE are irrigated area, number of plot area and sex of household head.

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

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1240
Author(s):  
Chukwujekwu A. Obianefo ◽  
John N. Ng’ombe ◽  
Agness Mzyece ◽  
Blessing Masasi ◽  
Ngozi J. Obiekwe ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Technical Efficiency ◽  
Upland Rice ◽  
Traditional Approach ◽  
Productive Efficiency ◽  
Rice Production ◽  
Working Environment ◽  
Full Potential ◽  
Anambra State ◽  
Rice Farmers

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.

scholarly journals TECHNICAL EFFICIENCY OF CEREAL PRODUCTION IN NORTH CENTRAL NIGERIA: A CASE FOR MAIZE, RICE AND SORGHUM FARMERS

2016 ◽  
Vol 15 (1) ◽  
pp. 25-34
Author(s):  
M. A. BWALA ◽  
H. S. E. KOKOYE ◽  
R. N. YEGBEMEY
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Cereal Crops ◽  
Stochastic Frontier Model ◽  
Survey Area ◽  
North Central ◽  
Rice Farmers ◽  
Input Combination ◽  
Cereal Production

This study estimated technical efficiency levels of cereal crops producers. The study employed the translog stochastic frontier model to estimate efficiency levels of maize, rice and sorghum producers in the survey area. Findings revealed that maize and sorghum farmers were operating in the efficiency range of 0.50 to 0.98, while for rice farmers efficiency estimates ranged between 0.71 and 0.98. Fur- thermore, it was also observed that a majority of the rice farmers operate in the range 0.91 and 0.98 efficiency levels. Also, about 18% of the farmers operate in the efficiency range of 0.81 and 0.90, while just about 14% operate in the range of 0.96 and 0.98 efficiency levels for rice production. Findings suggest that, all things been equal, most of the cereal crops producers could improve their current levels of production by adjusting their input combination.

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