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

2021 ◽  
Vol 16 (2) ◽  
pp. 140-154
Author(s):  
Arnold Missiame ◽  
◽  
Patrick Irungu ◽  
Rose Adhiambo Nyikal ◽  
◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Production Technology ◽  
Formal Education ◽  
Production Systems ◽  
Economic Activities ◽  
Technology Gap ◽  
Frontier Analysis ◽  
Technology Heterogeneity ◽  
Cassava Production ◽  
Analyse Data

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.

scholarly journals Meta-frontier analysis of organic and conventional cocoa production in Ghana

2013 ◽  
Vol 59 (No. 6) ◽  
pp. 271-280 ◽  
Author(s):  
J.A. Onumah ◽  
E.E. Onumah ◽  
R.M. Al-Hassan ◽  
B. Brümmer
Keyword(s):  
Technical Efficiency ◽  
Economies Of Scale ◽  
Production Systems ◽  
Returns To Scale ◽  
Conventional System ◽  
Cross Sectional ◽  
Organic System ◽  
Frontier Analysis ◽  
Cocoa Production ◽  
The Individual

This study considers the meta-frontier technique to compare the efficiency level of organic and conventional cocoa production systems in Ghana using a cross sectional data of 390 farms. The results reveal that the organic systems exhibit an increasing return to scale whilst, the conventional system exhibit decreasing returns to scale. All the inputs variables positively influence the production except the age of trees. The combined effects of operational and farm specific factors are identified to influence the technical efficiency although the individual effects of some variables are not significant. The mean technical efficiency relative to the meta-frontier is estimated to be 0.59 for the organic and 0.71 for the conventional farms. The study concludes that the conventional system of cocoa production is more technically efficient than the organic system. However, the increase in the scale of production in the organic system to take advantage of the economies of scale may enhance the efficiency of production.  

scholarly journals Stochastic Frontier Analysis on Technical Efficiency of Strawberry Farming in Purbalingga Regency Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 105
Author(s):  
Irene Kartika Eka Wijayanti, ◽  
Jamhari Jamhari, ◽  
Dwidjono, Hadi Darwanto ◽  
Any Suryantini
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Central Java ◽  
Frontier Production Function ◽  
Central Java Province

The objective of this study is to determine technical efficiency and factors affecting technical inefficiency of strawberry farming in Purbalingga Regency. This study was conducted in Karangreja Subdistrict, Purbalingga Regency, Central Java Province. Purposive sampling method was utilized to select 100 farmers as the respondents. All of whom have been running their farm business for at least three years consecutively from 2015 to 2017. Stochastic frontier production function was applied to measure technical efficiency and factors affecting technical inefficiency. The findings show that strawberry farming in Purbalingga Regency, Central Java Province, is technically efficient with efficiency number varies between 26.50-99.40% and the average efficiency number of 77.80%. Furthermore, the results indicate that the farmers’ formal education and the number of household members significantly affect the technical efficiency of strawberry farming.

scholarly journals TECHNICAL EFFICIENCY OF PADDY’S FARMING IN VARIOUS TYPES OF PADDY’S SEEDS IN INDONESIA

2020 ◽  
Vol 13 (3) ◽  
pp. 286
Author(s):  
Venessa Vasthi Winata ◽  
M. Rondhi ◽  
Yasuhiro Mori ◽  
Takumi Kondo
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Secondary Data ◽  
Household Survey ◽  
Rice Farming ◽  
Frontier Analysis ◽  
Rice Seeds ◽  
The Government

The increasing need for food along with increasing population is one of the problems that must be resolved by Indonesia nation. The government is trying to increase rice production and productivity by using certified seeds. Certified seeds is expected to affect technical efficiency of rice farming. The objectives of this studies are to analyze the level of technical efficiency and to identify the factors that influence the technical efficiency of rice farming in various types of main sources of rice seeds in Indonesia. The study uses secondary data that obtained from Central Bureau of Statistic (BPS) as a results from the 2014 Rice Plant Business Household Survey (SPD 2014). Data were analyzed using stochastic frontier. The results showed that the average technical efficiency level achieved by farmers in rice farming is 0,656 or less than 0,70 (<0,70) so it can be said that rice farming in Indonesia is still technically inefficient. Factors that affecting the technical efficiency of rice farming in various types of main sources of rice seeds in Indonesia were age, formal education, dummy participation of agricultural extension, and dummy certified seeds.  Keywords: certified seeds, rice farming, stochastic frontier analysis, technical efficiency, non-certified seeds

scholarly journals Technical Efficiency of Cassava Production in Ardo-Kola Local Government Area of Taraba State, Nigeria

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Emmanuel A. Zubairu ◽  
Andefikir D. Kasari ◽  
Abubakar U. Jongur
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Extension Agents ◽  
Frontier Analysis ◽  
Cassava Production

— This study used stochastic frontier Analysis to estimate the technical efficiency of cassava production in Ardo-kola Local Government Area of Taraba state. A multi-stage sampling was employed in selecting 142 respondents in the study area. The maximum likelihood estimates of the stochastic frontier production function revealed that farm size, family labour, cassava cutting planting and fertilizer were significantly and positively related to cassava output. Technical efficiency (TE) scores ranged from 0.43 to 0.96 with a mean TE of 0.74, implying that there is a scope for increasing technical efficiency in cassava production by 0.26 in short run under current technology. The study proffered the following recommendations; That Cassava farmers should have access to extension agents to increase their probability of being productive and efficient, policy should be targeted to provide adequate training to extension agents to enhance their performance to their clientele.

scholarly journals Technical Efficiencies and Yield Variability Are Comparable Across Organic and Conventional Farms

2020 ◽  
Vol 12 (10) ◽  
pp. 4271
Author(s):  
Amritbir Riar ◽  
Lokendra S. Mandloi ◽  
Ramadas Sendhil ◽  
Randhir S. Poswal ◽  
Monika M. Messmer ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Production Systems ◽  
Germination Rate ◽  
Decisive Role ◽  
Central India ◽  
Organic Production ◽  
Organic Farms ◽  
Conventional Farms ◽  
Management Factors

Cotton is essentially a smallholder crop across tropical countries. Being a major cash crop, it plays a decisive role in the livelihoods of cotton-producing farmers. Both conventional and organic production systems offer alternative yet interesting propositions to cotton farmers. This study was conducted in Nimar valley, a prominent cotton-producing region of central India, with the aim of categorically evaluating the contribution of management and fixed factors to productivity on conventional and organic cotton farms. A study framework was developed considering the fixed factors, which cannot be altered within reasonable limits of time, capacity and resources, e.g., landholding or years of age and/or practice; and management factors, which can be altered/influenced within a reasonable time by training, practice and implementation. Using this framework, a structured survey of conventional and organic farms operating under comparable circumstances was conducted. Landholding and soil types were significant contributors/predictors of yield on organic farms. In contrast, landholding was not the main factor related to yields on conventional farms, which produced the highest yields when led by farmers with more than five years of formal education and living in a joint family. Nitrogen application, the source of irrigation (related to timely and adequate supply), crop rotation and variables related to adequate plant population (seed source, germination rate and plant thinning) were the main management factors limiting cotton yields among conventional and organic farms. Both organic and conventional farms in the Nimar valley exhibited a similar pattern of variation in cotton yields and technical efficiency. This study highlights the enormous scope for improving cotton productivity in the region by improving technical efficiency, strengthening extension services and making appropriate policy interventions.

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.

scholarly journals Analysis on Technical Efficiency and Influencing Factors of Agricultural Production in China —— Based on the Stochastic Frontier Analysis model

2021 ◽  
Vol 235 ◽  
pp. 02005 ◽  
Author(s):  
Weiwei Huang ◽  
Liwenjun Xu ◽  
Yinru Guo
Keyword(s):  
Technical Efficiency ◽  
Influencing Factors ◽  
Production Technology ◽  
Agricultural Production ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Eastern Region ◽  
Analysis Model ◽  
Frontier Analysis ◽  
The Impact

This paper selects the panel data on 31 provinces (cities) in China, from 2007 to 2017, and uses Stochastic Frontier Analysis Model to measure the efficiency of technical efficiency and influencing factors of agricultural production in China. The research shows that from 2007 to 2017, China’s agricultural average production technology efficiency has steadily improved, but there is still much room for development. The agricultural production technology efficiency is greatly different in different part of China. The eastern region has the highest efficiency, and the central and western regions are lower than the national average. Labor input, fertilizer application, and diesel fuel are factors that directly affect the technical efficiency of agricultural output. Time trend and urbanization level indirectly affect the agricultural production technology efficiency, and the impact is positive.

scholarly journals Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2708
Author(s):  
Ziqi Yin ◽  
Jianzhai Wu
Keyword(s):  
Spatial Distribution ◽  
Technical Efficiency ◽  
Spatial Dependence ◽  
Stochastic Frontier ◽  
Hebei Province ◽  
Agricultural Technology ◽  
Agricultural Product ◽  
Spatial Econometric ◽  
Frontier Analysis ◽  
The Impact

In recent years, through the implementation of a series of policies, such as the delimitation of major grain producing areas and the construction of advantageous and characteristic agricultural product areas, the spatial distribution of agriculture in China has changed significantly; however, research on the impact of such changes on the efficiency of agricultural technology is still lacking. Taking 11 cities in Hebei Province as the research object, this study examines the spatial dependence of regional agricultural technical efficiency using the stochastic frontier analysis and spatial econometric analysis. The results show that the improvement in agricultural technical efficiency is evident in all cities in Hebei Province from 2008 to 2017, but there is scope for further improvement. Industrial agglomeration has statistical significance in improving the efficiency of agricultural technology. Further, there is an obvious spatial correlation and difference in agricultural technical efficiency. Optimizing the spatial distribution of agricultural production, promoting the innovation, development, and application of agricultural technology, and promoting the expansion of regional elements can contribute to improving agricultural technical efficiency.

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

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