scholarly journals ENTERPRISE ASSESSMENT ACROSS CASSAVA WASTE (PEELS) VALUE CHAIN IN OGUN STATE

2021 ◽  
Vol 20 (1) ◽  
pp. 40-55
Author(s):  
V. A. ELEGBEDE ◽  
E. O. A. OLUWALANA ◽  
A. M. SHITTU
Keyword(s):  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Cooperative Groups ◽  
Credit Access ◽  
Frontier Analysis ◽  
Access To Credit ◽  
Ogun State ◽  
Cassava Peels

In this article, the Enterprise assessment across cassava peels value chain in Ogun State Nigeria is examined. Multistage sampling technique was used to select 180 cassava processors and marketers. Socio-economic data were obtained from respondents with the use of pre-tested questionnaires. Data were analysed using descriptive statistics, budgetary technique, Stochastic Frontier Analysis (SFA) and Student t-test. The study found that majority (84.3% and 52.8%) of processors of cassava peels and marketers were female. In addition, 60.2% of the processors and 51.4% of the marketers had secondary education. The value chain activities carried out by processors were transportation, drying and packaging while marketers transported, packaged and put the peels in storage for future sales. The SFA revealed that cost of labour (p<0.01) and quantity of fresh cassava peels (p<0.01) were the main determinants of output of dried cassava peels by the processors. The inefficiency model revealed that the efficiency of producing dried cassava peels increased with increase in age (p<0.01), credit access (p<0.01), household size (p<0.01) and membership of cooperative society (p<0.01). Furthermore, the cost function revealed that cost of sieving (p<0.05) and depreciation on capital item (p<0.01) increased the production cost of dried cassava peels. The mean technical, allocative and economic efficiency of producing dried cassava peels were estimated as 94%, 83% and 78% respectively. This study concluded that production of cassava peels is efficient and its trade is profitable. The study recommends that cassava processors and marketers should form cooperative groups to increase access to credit for higher output and trade of peels.

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

2021 ◽  
Vol 11 (4) ◽  
pp. 269-278
Author(s):  
Syafrial ◽  
Hery Toiba ◽  
Moh Shadiqur Rahman ◽  
Dwi Retnoningsih
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Probit Regression ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Access To Credit ◽  
Farm Work ◽  
The Impact

The adoption of technological innovations, such as an improved variety, has been widely promoted worldwide to improve agricultural productivity. This study aimed to examine factors affecting farmers’ decision to adopt a new improved cassava varieties (NICV), and to estimate the effects of NICV adoption on farmers’ technical efficiency. This research used cross-sectional data from 300 cassava farmers in East Java, Indonesia. Furthermore, the data were analyzed by probit regression to examine factors affecting farmers’ decision to adopt NICV. Propensity score matching (PSM) procedures and stochastic frontier analysis were applied to evaluate the impact of NICV adoption on farmers’ technical efficiency. The results indicated that adoption was highly influenced by cooperative membership, access to credit, internet access, certified land, and off-farm work. The stochastic frontier analysis, by controlling the matched sample using PSM procedures, demonstrated that NICV adoption positively and significantly impacted farmers’ technical efficiency. Those who adopted NICV showed a higher technical efficiency level than those who did not. This finding implies that improved varieties could be further promoted to increase productivity. The research suggests that there is a need to improve NICV adoption to increase the levels of technical efficiency and productivity.

scholarly journals Technical Efficiency Analysis of Wheat Crop in Arid Region of Punjab, Pakistan

2021 ◽  
pp. 1-9
Author(s):  
Muhammad Fahad Irfan ◽  
Muhammad Umer Afzal ◽  
Kaif Matloob ◽  
Irfan Ahmad Baig
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Efficiency Analysis ◽  
Primary Data ◽  
Wheat Crop ◽  
Analysis Model ◽  
Frontier Analysis ◽  
The Mean

The present study aims to estimate the possible effects of credit on production of wheat crop in Chakwal. The research was based on primary data gathered from 120 farmers, selected by using random sampling technique belonging to two tehsils i.e. Talagang and Chakwal. SFA (Stochastic Frontier Analysis) model was adapted to analyze the data and the results show the mean technical efficiency of the wheat crop was 82 percent for borrowers and 76 percent for non-borrowers. The results proposed that the technical efficiency of wheat growers can be increased by increasing loan disbursement in the area.

scholarly journals Assessment of gender differentials in economic and technical efficiency of poultry egg, a case study in Lagos State, Nigeria.

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Hafis Odunlami ◽  
Peter Adebola Okuneye ◽  
Musekiku Adebayo Shittu ◽  
Ajani R. Sanusi ◽  
Issa Olalekan Eledgbede ◽  
...  
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Poultry Production ◽  
Frontier Analysis ◽  
Gender Differentials ◽  
Poultry Eggs ◽  
Poultry Farms ◽  
Labour Input ◽  
Multistage Sampling

Gender has been seen as an important factor in the distribution and utilization of productive resources worldwide. In the agricultural sector, gender differential could influence the sourcing and efficient utilization of factors of production, particularly in the livestock sub-sector of the economy. This study assessed the gender differentials in economic and technical efficiency of poultry eggs production in Lagos State, Nigeria. Multistage sampling technique was used to select respondent poultry farmers. The first and second stages were the purposive selection of five Local Government Areas (LGAs) reputed for poultry production and farm settlements in the state. The third stage involved a simple random sampling of 150 poultry farms consisting of 75 farms each managed by a male and a female Stochastic Frontier Analysis (SFA). The SFA revealed that for male management of poultry egg farms, labour input (p<0.01) and cost of medications (p<0.05) increased the poultry egg output. On the other hand, for female management, stock of birds (p<0.01), labour input (p<0.01) and feed cost (p<0.01) were the factors that increased poultry eggs output. The inefficiency model revealed that male farmers were more technically efficient (p<0.01) than female counterparts. Female managed poultry farms had less productivity (0.90) compared to males(1.22). However, 88.1% of male farms compared to 86.7% of female farms had economic efficiency ratios between 0.29 and 0.79. The study concluded that gender had impact on poultry farmers’ efficiency in the study area. The study therefore recommended that training  should be organised for female managed farms while male managed farms should utilize less of cost intensive capital input.Keywords:  Agricultural resource, poultry production, sustainable livestock, Multistage sampling technique, Stochastic Frontier Analysis (SFA)

scholarly journals Profitability and Resource Use Efficiency of Poultry Egg Production in Yobe State, Nigeria

2017 ◽  
Vol 7 (1) ◽  
pp. 112
Author(s):  
Okpachu S.A ◽  
Madu V. U.
Keyword(s):  
Resource Use ◽  
Egg Production ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Farm Size ◽  
Veterinary Services ◽  
Resource Use Efficiency ◽  
Frontier Analysis ◽  
Access To Credit ◽  
Use Efficiency

<div><p><em>The study was carried out to determine the profitability and resource use efficiency of poultry-egg production in Yobe State. A sample of 200 poultry-egg farmers was selected by multistage sampling technique and data were collected by using a structured questionnaire. The data were analyzed using descriptive statistics, budgetary analysis, and Stochastic Frontier Analysis techniques. The study revealed that poultry-egg production enterprise is profitable in the study area. Maximum Likelihood Estimate of coefficients of the stochastic frontier model for poultry-egg production were all positive and the parameters estimates of farm size, veterinary services, feed intake and labour were statistically significant, indicating that they contributed incrementally to the total value of poultry-egg output in the study area. Analysis of inefficiency model shows that factors influencing technical efficiency were years of experience, access to credit, cooperative membership and extension contact. Recommendations include the establishment of feed producer cooperative society, provision of adequate and timely veterinary services, and access to credit, frequent extension contacts and adult education classes for the farmers.</em></p></div>

scholarly journals Productive efficiency of wine grape producers in the North of Portugal

2021 ◽  
Author(s):  
Micael Santos ◽  
Xosé Antón Rodríguez ◽  
Ana Marta-Costa
Keyword(s):  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Structural Factors ◽  
Frontier Analysis ◽  
Face To Face ◽  
The North ◽  
Major Player ◽  
Output Information

Portugal is a country traditionally dedicated to viticulture and characterized by the production of wines of high quality. However, although it continues to be a major player in the world, both in the extension of vineyards and in the production of wine, it is certain that in recent years Portugal have lost market share in these areas. In this context, it is interesting to analyze if this situation could be related to the level of productive efficiency of vineyards. Therefore, the aims of this study are to analyse the farms that are efficiently allocating resources to achieve maximum production and to identify characteristics that make the farm more efficient. In addition, we want to analyse the productive efficiency of the farms from a regional perspective. To achieve this purpose, we use a database collected by face-to-face surveys from a sample of 154 wine-growing farms with specific input-output information from 2017. These farms are locating in the three regions of the North of Portugal (Minho, Douro and Trás-os-Montes), which represents more than 40% of the Portuguese vineyard area. To analyse the productive efficiency of the farms, we use the Stochastic Frontier Analysis (SFA). The results show that the efficiency level in the wine-growing farms from the North of Portugal is arround 67%, but with significant differences at regional level. Many of these discrepancies may be due to structural factors, such as the type of grape produced in each region. In conclusion, the findings make evident that the most efficient farms are not the most profitable due to the structure of the existing value chain.

scholarly journals Market Imperfections within the European Wheat Value Chain: The Case of France and the United Kingdom

Agriculture ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 838
Author(s):  
Lukáš Čechura ◽  
Tinoush Jamali Jaghdani
Keyword(s):  
United Kingdom ◽  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Positive Association ◽  
Market Imperfections ◽  
Niche Markets ◽  
Frontier Analysis ◽  
The United Kingdom ◽  
Two Stages

The focus of this paper is on the analysis of market imperfections in the French and U.K. wheat value chains. We used mark-up and mark-down models and stochastic frontier analysis to estimate the degree of market imperfections in two completely different wheat-to-bread chains for two stages/sectors—milling and baking. Our results reveal some degree of market imperfections within the input and output markets for both the milling and baking sectors in France and the United Kingdom. However, the abuse of bargaining power is especially pronounced in the input market for the second stage of wheat processing, particularly in the French baking sector. However, we did not observe the expected positive association between the degree of market imperfections and company size except for a group of middle, large, and very large companies within the millers’ input market. Small companies indicate considerably high values of “Lerner”/Lerner indices, suggesting a benefit from other sources of competitive advantage (such as quality, niche markets, etc.).

scholarly journals Effects of Improved Cassava Varieties on Farmers’ Income in Northern Agro-ecological Zone, Uganda

2021 ◽  
Vol 10 (2) ◽  
pp. 65
Author(s):  
Graceline O. Akongo ◽  
Godfrey A. Otim ◽  
Laban F. Turyagyenda ◽  
Anton Bua ◽  
Alfred Komakech ◽  
...  
Keyword(s):  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Parameter Estimate ◽  
Ecological Zone ◽  
Gross Margin ◽  
Frontier Analysis ◽  
Fast Tracking ◽  
Cassava Varieties

This paper examines the extent to which improved cassava varieties contribute to improvement in income of smallholder farmers in the Northern agro-ecological zone of Uganda. In order to achieve the objective, data was collected from PRELNOR supported farmers&rsquo; fields, other farmers&rsquo; fields and baseline cassava fields. Consequently, descriptive statistics, gross margin and stochastic frontier analysis were adopted during analysis. Results from the analysis revealed that higher yields per hectare were registered within PRELNOR supported farmers&rsquo; fields and yield from NAROCAS1 surpassed all the varieties (37.3 tons per hectare). Location specific results revealed that Gulu had better yields (34.5 tons per hectare) while Kitgum registered the lowest average (24.1 tons per hectare). Gross margin indicated that every Shilling invested in improved variety earned profit 1.3 to 1.8 times above the local variety and each shillings invested in PRELNOR supported fields generated 5.6 times above the baseline fields. The parameter estimate for profit function revealed that planting material, other production related costs, NAROCAS1, NASE14 and NASE19 were positively correlated with profit but labour and baseline field had negative correlations. Conversely, profit efficiency grew by 40% under improved varieties against local varieties. This study suggests that the difference in yields and profit between locations was caused by biophysical characteristic; disease tolerant varieties can tremendously improve profitability and income; meanwhile the profit gaps were partly attributed to inefficiency. This study recommends fast tracking adoption of pest and disease tolerant varieties and integrated research and development approach throughout the cassava value chain.

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