scholarly journals ASSESSING THE EFFICIENCY OF SWEET POTATO PRODUCERS IN THE SOUTHERN REGION OF ETHIOPIA

2017 ◽  
Vol 54 (4) ◽  
pp. 491-506 ◽  
Author(s):  
ADUGNA JOTE ◽  
SHIFERAW FELEKE ◽  
ADANE TUFA ◽  
VICTOR MANYONG ◽  
THOMAS LEMMA
Keyword(s):  
Technical Efficiency ◽  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Potato Production ◽  
Southern Region ◽  
Efficiency Improvement ◽  
Study Region ◽  
Current Utilization

SUMMARYApplying stochastic frontier Cobb–Douglas production function, the study assessed the efficiency of sweet potato (Ipomoea batatas) producers in the Southern region of Ethiopia. The study revealed the existence of fairly large technical inefficiency in sweet potato production. The technical efficiency ranged from 12.6 to 93.7%, with more than half of the producers above the mean efficiency level (66.1%). This suggests that there is room for output gains through technical efficiency improvement. If the average producers in the study region are to achieve the technical efficiency level of the most efficient producer in the sample (93.7%), they can realize nearly 30% output gains. The analysis of allocative efficiency also revealed that sweet potato producers were producing sweet potato with sub-optimal utilization of production inputs, suggesting that potential for output gains remains to be exploited through reconfiguration of the existing resource use. They can make more value out of their sweet potato production by reconfiguring their current utilization of production inputs in favour of more land and manure but less seed rate. Furthermore, age and education are important determinants of the efficiency of sweet potato production. In view of these findings, it is advisable to put in place appropriate extension intervention programmes that enable sweet potato producers to exploit the potential gains in sweet potato output through technical and allocative efficiency improvement.

scholarly journals Technical Efficiency of Sweet Potato Production: A Stochastic Frontier Analysis

2021 ◽  
Vol 9 (8) ◽  
pp. 1344-1356
Author(s):  
Godfrey C. Onuwa ◽  
Solomon T. Folorunsho ◽  
Ganiyu Binuyo ◽  
Mercy Emefiene ◽  
Onyekwere P. Ifenkwe
Keyword(s):  
Technical Efficiency ◽  
Sweet Potato ◽  
Goodness Of Fit ◽  
Stochastic Frontier Analysis ◽  
Production Systems ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Utilization Efficiency ◽  
Farm Size ◽  
Frontier Analysis

The level of yield among sweet potato farmers is on a decline; low output and yield differences was observed, indicating the existence of inefficiency in production systems and variations in input utilization. Efficiency in resource use must be sustained in order to improve productivity and maximize farm output. This study therefore analyzed the technical efficiency of sweet potato production. Multi-stage sampling techniques were adopted in selecting 94 respondents for this study. Data collected was analyzed using descriptive statistics and stochastic frontier production function. The socioeconomic variables of the respondents affected their farm efficiency and level of farm output. The estimated ratio of the L/R test was 0.579; indicating a goodness of fit of the frontier model and thus a rejection of the null hypothesis. The coefficients of sweet potato seeds (vines) (0.362) and labour (0.439) were positive and statistically significant at 5% level of probability, while the coefficients of farm size (-1.333), fertilizer (-0.452) and herbicides (-0.766) were negative but statistically significant at 5% level of probability. The inefficiency model revealed that the coefficient of farm capital (-0.172), education (-2.281), access to credit (-0.472), farming experience (-0.639), extension contact (-0.733) and membership of cooperatives (-0.396) were negative and statistically significant at 5% level of probability. The mean technical efficiency was 0.62 (62%) implying that the sweet potato farmers in the study area were not producing at optimal capacity. The constraints identified significantly affected sweet potato production in the study area. Subsidizing input costs; sensitizing farmers on appropriate farming practices, cooperative formation and efficiency in resource utilization; improving access to agricultural inputs, technology, farm capital, credit and extension services, market linkages, farm labour supply and the development of indigenous technologies in sweet potato production are strongly recommended.

Technical Efficiency in Seed Potato Production Systems in Uganda

2018 ◽  
Vol 10 (3(J)) ◽  
pp. 122-140
Author(s):  
Ambrose Rwaheru Aheisibwe ◽  
Razack B. Lokina ◽  
Aloyce S. Hepelwa
Keyword(s):  
Technical Efficiency ◽  
Seed Potato ◽  
Arable Land ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Maximum Likelihood Estimates ◽  
Farm Income ◽  
Seed Potato Production ◽  
Extension Services ◽  
Income Source

This study established the level of technical efficiency and its determinants among the informal and formal seed potato producers in the southwestern highlands agro - ecological zone of Uganda. A multi- stage sampling procedure was employed to select 636 households (499 informal seed producers and 137 formal seed producers) from which data was collected for two seasons using a semi - structured questionnaire. Data was analyzed using the stochastic frontier approach with a one - step approach. Maximum likelihood estimates for the efficiency parameters showed that both informal and formal seed potato producers were not fully efficient. The mean technical efficiency for informal and formal seed potato producers was 8 1 .4 and 80.4 percent respectively. In terms of yield loss, informal and formal seed potato producers respectively lost an average of 981 and 1,208 kg/acre of seed potato tubers due to inefficiency factors . Specifically, off- farm income source, scale of production, seasonal variation, access to extension services and seed producer being male positively influenced informal seed producers’ technical efficiency while producers’ level of education and seed potato variety diversity negatively influenced their efficiency. For formal seed producers, technical efficiency was influenced positively by producers’ education and negatively by household size. The study suggests that there is an opportunity to improve technical efficiency of informal and formal seed producers by 19 and 20 percent respectively. Therefore, this calls for increased investment in developing and promoting high yielding varieties, provision of extension services, input intensification and addressing gender issues in seed potato production in the context of limited arable land .

scholarly journals ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT

2006 ◽  
Vol 3 (1) ◽  
pp. 145-148 ◽  
Author(s):  
Nurhayatin Nufus
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Farm Management ◽  
Management Level ◽  
Stochastic Frontier Production Function ◽  
Stochastic Production ◽  
Frontier Production Function ◽  
Land Size

This research  aims  to analyses  factors  influence  on production  and  resources  allocation  of soybeans  by farmer  at  West Lombok.  Production  function  was estimated  from survey data and technical  efficiency  was used to indicate  farm management  level  through maximum  likelihood,  which  was transformed  into frontier stochastic  production  function.  The land  size,  fertilizer  (urea and  TSP), labor  and pesticide  influence  the production  of soybean  at site.  The technical efficciency  level of Soybean fann was 95,6 percent   The  usage of TSP and pesticide reached allocative efficiency while urea and seeds were al/ocative efficiency yet Key words:  technical  effICiency, allocative  effICiency, and stochastic  frontier  production  function.

scholarly journals Measuring Technical Efficiency of Wheat Farms in Punjab, Pakistan: A Stochastic Frontier Analysis Approach

2019 ◽  
Vol 7 (1) ◽  
pp. 115
Author(s):  
Muhammad Aamir Shahzad ◽  
Amar Razzaq ◽  
Muhammad Aslam ◽  
Muhammad Faisal Gulzar ◽  
Muhammad Asad ur Rehman Naseer ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficiency Improvement ◽  
Panel Survey ◽  
Frontier Analysis ◽  
Input Use ◽  
The Mean ◽  
Potential Maximum ◽  
Management Issues

The wheat productivity in Punjab is less than the potential maximum due to imbalanced input use and farm management issues. Many studies have attemped to estimate technical efficiency of wheat crops using different techniques. However, most of them used limited datasets that focus on only a few districts. This study study uses a comprehensive dataset which is representive of Punjab province. We used farm-level panel survey data collected from 1581 farms in 17 districts of Punjab from 2005-06 to 2007-08. The technical efficiency of the wheat farms was analyzed using Stochastic Frontier Analysis (SFA) approach. Further, we identified the determinants of (in)efficiency using the same method. The results show that the mean technical efficiency of wheat farmers in Punjab is 84 percent indicating a considerable room for efficiency improvement. Further, the results indicate that technical efficiency could be improved by educating the younger farmers, building road infrastructure, and improving farmers’ access to essential inputs. The study supports the argument that wheat farmers are less technically efficient in Punjab, Pakistan.

scholarly journals MEASURING THE TECHNICAL EFFICIENCY OF POTATO PRDUCTION AND ITS DETERMINATS IN IRAQ (BAGHDAD PROVINCE AS CASE STUDY).

2020 ◽  
Vol 51 (6) ◽  
pp. 1634-1643
Author(s):  
Al-Hachami & et al.
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Cross Section Data ◽  
Technical Inefficiency ◽  
Section Data ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function

This study aimed to estimate the stochastic frontier production function and the inefficiency function and technical efficiency of potato production by using cross-section data collected from 173 potato farms that were randomly selected in Baghdad province/ Yusifiyah for production season 2016. The results showed that 90.6% of inefficiency in production was due to technical inefficiency. Also, there was a significant relationship between the variables of inefficiency function and the inefficiency of farms. The values of the parameters of the stochastic frontier production function were positive and significant for both human work hours and the amount of seeds. However, the parameter of DAP fertilizer was negative and significant. The estimation of the technical inefficiency function showed that its parameters were significant for both the local seed provider and the agricultural season (fall), while the parameters experience in growing potatoes and the number of irrigations were significant and their impact was negative on the inefficiency. The results also showed that the technical efficiency of the study sample (50%) on average. The researchers recommended the necessity of providing imported seed tubers for the increased productivity in dunum to achieve technical efficiency.

scholarly journals THE ECONOMIC EFFICIENCY OF GROWING SWEET POTATO (IPOMOEA BATATAS L. [LAM.]) IN POLISH SOIL AND CLIMATE CONDITIONS

2020 ◽  
Vol XXII (2) ◽  
pp. 99-110
Author(s):  
Barbara Krochmal-Marczak ◽  
Barbara Sawicka ◽  
Bernadetta Bienia ◽  
Małgorzata Górka ◽  
Olutosin A. Otekunrin
Keyword(s):  
Sweet Potato ◽  
Economic Efficiency ◽  
Ipomoea Batatas ◽  
Plant Protection ◽  
Economic Effect ◽  
Potato Production ◽  
Agricultural Practice ◽  
Mineral Fertilization ◽  
Climate Conditions

The aim of this research was to determine the economic efficiency of sweet potato production in Polish conditions (49°49′ N, 21°50′ E). The study was based on the results of a 3-year (2017–2019) field experiment conducted in slightly acidic brown earth. The experiment used the random subblocks method, in which the main experimental factors were cultivation technologies: A) traditional, with no cover, B) with the use of PP spunbond nonwoven. Secondary factors included 5 cultivars of sweet potato of all earliness classes (Goldstar, Carmen Rubin, Satsumo Imo, Beauregard, White Triumph). Constant organic and mineral fertilization was used, and cultivation was carried out in accordance with normal agricultural practice. The propagating material included rooted cuttings of sweet potato from in vitro propagation, planted with 50 x 75 cm spacing. The economic effect of production was determined by all experimental factors. The profitability of production was increased by the use of PP spunbond nonwoven. The most beneficial economic factors were achieved when growing the Beauregard cultivar, and the least – when growing White Triumph. The largest cost of sweet potato commercial production were sweet potato cuttings, which amounted to 56%, and the smallest – plant protection products – 1% of direct costs per 1 ha of crops. Sweet potato production in Polish soil and climate conditions between 2017–2019 turned out to be cost-effective.

scholarly journals Technical Efficiency of Irish Potato (Solanum tuberosum L.) Production in Molo Sub County, Kenya

2020 ◽  
pp. 1-9
Author(s):  
Pauline Nyokabi Kamau ◽  
Geoffrey Kingori Gathungu ◽  
Rael Nkatha Mwirigi
Keyword(s):  
Technical Efficiency ◽  
Smallholder Farmers ◽  
Solanum Tuberosum L ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Irish Potato ◽  
Likelihood Method ◽  
Negative Effects ◽  
Cross Sectional ◽  
Extension Services

This study focused on measuring farm level technical efficiency among smallholder Irish potato farmers in Molo Sub County and its determinants. Descriptive research design was applied. Cross-sectional data was collected through multistage sampling from smallholder Irish potato farmers located in Molo Sub County from April to June 2019. A Stochastic frontier approach assuming a Cobb-Douglas production function was adopted to analyze the level of technical efficiency and explain variations in this technical efficiency across farmers and estimation was done by applying the maximum likelihood method. Mean technical efficiency was 70.7%. The statistically significant variables with respect to the farm inputs were land (0.262), seed (0.629), fertilizer (-0.299) and fungicide (0.131) variables respectively. However, fertilizer variable had negative effects on Irish potato production. Education (-0.061), gender (-0.262), access to extension services (-0.078) and farmer group (-0.217) variables were significant and influenced technical inefficiency negatively.Increase in smallholder farmers’ literacy level, accessibility to extension services and farmer groups may improve Irish potato production technical efficiency. However, gender contribution towards Irish potato production technical efficiency needs a deeper understanding.

scholarly journals ANALISIS EFISIENSI TEKNIS, EFISIENSI EKONOMIS DAN DAYA SAING PADA USAHATANI BAWANG MERAH DI KABUPATEN NGANJUK-JAWA TIMUR: SUATU PENDEKATAN EKONOMETRIK DAN PAM

2016 ◽  
Vol 23 (2) ◽  
pp. 147 ◽  
Author(s):  
Budi Waryanto
Keyword(s):  
Technical Efficiency ◽  
Organic Fertilizer ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Final Analysis ◽  
Factors Affecting ◽  
Economical Efficiency ◽  
Average Value ◽  
Independent Variable ◽  
Frontier Production Function

Shallot is an important vegetable commodity for most Indonesian people. Shallots production is not yet able to supply the domestic consumption, and some is still met through imports. The challenge to produce shallots will be more complex, such as: the desire of consumers to high-quality products and environmentally friendly, as well as competition with similar products in the era of free trade. Based on these reasons, research has been done and the purpose of this study was to analyze the factors affecting shallots production, measuring the level of technical efficiency and economical efficiency. The study was conducted in Nganjuk District by taking 179 respondents from four sub districts. Interviews were conducted in October and November 2013, planting shallots April unti August 2013. Methods of analysis using the stochastic frontier production function to look at the effect of inputs on shallots production, followed by the analysis of technical efficiency (TE), allocative efficiency (AE) and economical efficiency (EE), and the final analysis of competitiveness using the Policy Analysis Matrix (PAM). The independent variable inputs consist of land (X1), seeds (X2), NPK fertilizer (X3), organic fertilizer (X4), labor (X5) and pesticides (X6). The analysis showed all independent variables significantly affected shallots production, where the value of the elasticity of the independent variable X2 is the highest, amounting to 0.2822. The analysis also obtained an average value of TE is equal to 0.808 means farmers are efficient, although there are farmers who are still not efficient. Although TE has been achieved, but is economically inefficient, because the average value of EE only 0.509. From PAM results it can be seen that farming shallots in this study has a competitive advantage but do not yet have a comparative advantage.

Agricultural credit and technical efficiency in Ghana: is there a nexus?

2016 ◽  
Vol 76 (2) ◽  
pp. 309-324 ◽  
Author(s):  
Abdul-Hanan Abdallah
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Probit Model ◽  
Estimation Procedure ◽  
Farm Size ◽  
Agricultural Credit ◽  
Content Type ◽  
The Impact ◽  
Unique Dataset

Purpose – The purpose of this paper is to examine the impact of agricultural credit on technical efficiency of Ghanaian maize farmers using a unique dataset drawn from the database of Sub-Saharan Africa’s intensification of food crops agriculture (Afrint II) in 2008 period. Design/methodology/approach – In this study, a two-stage estimation procedure is employed to determine impact of agricultural credit on technical efficiency of Ghanaian maize farmers. The first stage utilized probit model while the second stage utilized stochastic frontier approach to estimate impact of credit on technical efficiency of Ghanaian maize farmers. Findings – The study found that farmers are producing below the frontier with average technical efficiency of 47 percent. Policy variables such as credit access; education, extension access and farm size played a stronger role in technical efficiency. Agricultural credit in particular increased technical efficiency by 3.8 percent. Research limitations/implications – The results should not be extended to the impact of agricultural credit on economic efficiency since the allocative efficiency component is not considered in this study. Also, caution should be taken in the interpretation of these results because the data could not permit the incorporation of all variables that might affect technical efficiency. Originality/value – The originality of the paper and its contribution to existing literature largely lies from the use of a unique dataset to find evidence of the impact of credit on efficiency in Ghana.

scholarly journals Economic Efficiency of Maize at Dairi District North Sumatra Province

2020 ◽  
Vol 3 (2) ◽  
pp. 83-91
Author(s):  
Helentina Situmorang ◽  
Ratna Winandi ◽  
Nunung Nuryartono
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Low Frequency ◽  
Likelihood Estimation ◽  
Production Level ◽  
Maize Production ◽  
Low Efficiency ◽  
Level Of Significance

Dairi Regency has the potential to increase its maize production. One of the problems in maize farming is its low productivity because of its low efficiency of input use. The objectives of this research are:(1) analyzing factors influencing maize production, and (2) analyzing the economic efficiency of maize farming at Dairi District. The analysis methods used are the Cobb-Douglas stochastic frontier production function utilizing Maximum Likelihood Estimation (MLE) to analyze technical efficiency, the dual cost function to analyze allocative efficiency. This research used cross-section data. The research findings showed thatfactors like seed and fertilizers (SP-36 and Phonska) were positively and statistically significant on maize production (level of significance at 5 %), the use of urea and herbicide also havea positive and statistically significant influence on maize production (level of significance at 10 %). Furthermore, labor use hasa positive, but not statistically significant effect on maize production. The efficiency analysis revealed that the maize farmers had economic inefficiency. The low frequency of extension visits was a substantial contributorto this technical inefficiency. Agricultural extension is deemed essential to significantly increase the technical efficiency.  

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