Market window analysis: a case of tobacco, paddy and big oinon farmers in Galewela, Sri Lanka

Thennakoon, M.T.C.P.; Silva, D. A. M. De

doi:10.4038/suslj.v11i1.5890

Cited by 3 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Market window graphics for each vegetable were created by using historical prices and average cost estimation budgets. The prices were also used directly in cost/profit graphing and analyzed by averaging each year over the entire time span to get one average for each year from 2006 to 2016 (Thennakoon and Silva, 2012). Cost estimation was used to compare with farm gate prices and base year prices of cost of production.…”

Section: The Market Window Techniquementioning

confidence: 99%

See 1 more Smart Citation

A Study on Market Window and Economic Efficiency in Assessing Profitability of Selected Upcountry Vegetables in Sri Lanka

Priyadarshani

Wickramasinghe

2018

J Agric Sciences

View full text Add to dashboard Cite

Purpose : Vegetable subsector being a foremost source of income and employments, plays an outstanding role in Sri Lankan economy. However, profits from vegetable farming have become low due to low prices and frequent price fluctuations. Thus, this study identifies the existence of profitable markets, profitability, economic efficiency and price fluctuations of selected upcountry vegetables; bean, tomato, potato, cabbage and knol-khol in Bandarawela Divisional Secretariat Division, Badulla district. The aim of the study is to address the key issues in Sri Lankan upcountry vegetable sector. Research Method : Stratified random sampling was applied to draw a sample of 150 vegetable growers to collect primary data. Market window analysis was done to identify profitable markets for each crop. Profit function, economic efficiencies, seasonal price indexes, coefficients of variation of prices and Garret's ranking technique were employed to examine profitability, price fluctuations and factors that have contributed to above situations from farmers' point of view. Findings : The results indicated that, market windows were existed during the year 2016 for all crops considered. When compared profits, tomato and bean have produced high profits in Yala; the shorter rainy season (4910.35 US$ ac-1) and Maha; the longer rainy season (2301.35 US$ ac-1) respectively. Moreover, the production of cabbage (Yala2.75) and bean (Maha 1.14) was economically more efficient compared to the other crops considered. The seasonal price index disclosed that, prices of vegetables tend upward during the festival seasons, especially during the months of March and April. The coefficient of variation of price fluctuations over the years and seasonal variation and variability of prices observed were mainly due to seasonality in production, oversupply of production and low level of shelf life of vegetables. As per the constraint analysis, the price fluctuations were the highest perceived obstacles followed by unreasonable price for the fresh produce. Limitations : Limited availability of historical data was a constraint during the study and that was avoided using data for a base year. Value : It is better to conduct a study on market window analysis and profitability evaluation for upcountry vegetables in order to find out profitable market existence for each vegetable because, these evidences are useful to the farmer, trader and planners.

show abstract

Section: The Market Window Techniquementioning

confidence: 99%

“…When ei > 0, the production of the crop is economically efficient When ei < 0, the production of the crop is economically inefficient But when ei = 0, the production of the crop is said to be at the breakeven point. (Thennakoon and Silva, 2012)…”

Section: The Profit Functionmentioning

confidence: 99%

A Study on Market Window and Economic Efficiency in Assessing Profitability of Selected Upcountry Vegetables in Sri Lanka

Priyadarshani

Wickramasinghe

2018

J Agric Sciences

View full text Add to dashboard Cite

show abstract

“…Thus, increasing onion production will provide gainful employment as well as saving scarce foreign exchange. Total big onion production is only 98,900 MT in 2014 [7,8]. So, Sri Lankan government have successfully cultivated big onions during the off season in the Hambantota District.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Productivity of the Big Onion in Hambantota District during the Off Season

Sulochana

Nawarathna

2019

AJPAS

View full text Add to dashboard Cite

Aim: The main aim of this study is to identify the factors affecting the big onion productivity of Hambantota district during the off-season. Moreover, we identify the average productivity per acre from Hambantota district and compare it with the other areas that cultivated the big onion. Further, identify the main issues encountered in big onion cultivation in Hambantota and identify the critical contributing factors for the big onion cultivation in this area. Place and Duration of Study: During the off seasons in 2015 to 2016 in Hambantota District. Methodology: Sample data was collected from 201 farmers in Hambantota district. Multiple linear regression model was used to identify the factors affecting the big onion productivity in Hambantota district during the off-season. The normality assumption of the regression model was checked using Kolmogorov–Smirnov test, Shapiro Wilk normality test and Skewness and Kurtosis test. Pearson, Spearman’s Rank and Partial correlation tests were used to check the correlations between variables. Mean absolute percentage error (MAPE) and Symmetrical Mean absolute percentage error (SMAPE) values were used to validate the fitted model. Results: By the multiple linear regression model main factors affecting the productivity of big onion in Hambantota area were Seasonal Months, Monthly Income, Subsidies Fertilizer and Cultivated Quantity. And the R-squared value was most like to 80% and this means these independent variables were described 80% of the dependent variable. Model accuracies were reported as 98.48% and 98.49% from MAPE and SMAPE respectively. Therefore, this multiple linear regression model was suitable for this study. Further, the model determined the affected factors for the big onion cultivation in Hambantota district during the off-season. Conclusion: Hambantota district average productivity was less than other areas. Big onion productivity of Matale is more than 2 times greater than big onion productivity of Hambantota. Off season big onion cultivation in Hambantota district is not very effective because of the average productivity is less than other areas in Sri Lanka.

show abstract

“…The lowest charge for smallholder farmsteads in extensive system is because of the fact that they have lower feed charge due to the access to larger public land for seasonal grazing. Thennakoon and De Silva (2012) declared that selling need and output charge vary with specific crop type. Individual growers are not able enough to recognize selling economy behavior and output charge for every crop type.…”

Section: Prior Studiesmentioning

confidence: 99%

Analysis on Cost and Profit in Farming Activity in Malaysia

Yusoff¹

2016

JMAA

View full text Add to dashboard Cite

show abstract

Market window analysis: a case of tobacco, paddy and big oinon farmers in Galewela, Sri Lanka

Cited by 3 publications

References 0 publications

A Study on Market Window and Economic Efficiency in Assessing Profitability of Selected Upcountry Vegetables in Sri Lanka

A Study on Market Window and Economic Efficiency in Assessing Profitability of Selected Upcountry Vegetables in Sri Lanka

Factors Affecting the Productivity of the Big Onion in Hambantota District during the Off Season

Analysis on Cost and Profit in Farming Activity in Malaysia

Contact Info

Product

Resources

About