scholarly journals Economic Efficiency of Mango Cultivator in The Southern Vietnam

2021 ◽  
Vol 12 (4) ◽  
pp. 1048-1054
Author(s):  
Truong Hong Vo Tuan Kiet, Et. al.
Keyword(s):  
Economic Efficiency ◽  
Plant Density ◽  
Market Access ◽  
Stochastic Frontier ◽  
Profit Function ◽  
Tropical Fruits ◽  
Profit Efficiency ◽  
Policy Makers ◽  
Credit Access ◽  
Southern Vietnam

The paper employed a Cobb-Douglas and translog of stochastic frontier profit function to measure the level of economic efficiency and its determinants. Structured questionnaires were used to collect data from 1,889 of sampling observations (591 for season 1, 678 for season 2, and 620 for season 3) randomly selected from designated locations in the study area. Difference of the study compared to past researches related to tropical fruits analyzed efficiency of three seasons instead of only focusing on efficiency of one season or total a year. The study established a mean economic efficiency of 26.19% in season 1, 27.15% in season 2, and 24.62% in season 3. The paper found out positive determinants of economic efficiency were farming experience, wrapping bag, market access among three seasons; education in season 1 and plant density in season 1 and 2. By contrast, the constraints to profit of mango producers were age, and payment for agro-input wholesale on ending of season in three seasons; credit access and classifying sale in first and second seasons; education in second and third seasons; plant density in season 3. Based on these findings, policy makers should focus on effective inputs models that would boost profit efficiency through conducting regular workshops and orchard demonstrations on using input materials effectively. More so, farmers should design mango gardens with appropriate trees density as well as encourage gardeners to use bags for wrapping mango fruits in farming in order to increase economic efficiency.

scholarly journals DETERMINATS OF TECHNICAL EFFICIENCY OF MANGO PRODUCTION IN MEKONG DELTA, VIETNAM: A COBB-DOUGLAS STOCHASTIC FRONTIER PRODUCTION APPROACH

2019 ◽  
pp. 85-91
Author(s):  
T.H.V.T. Kiet ◽  
Shaufique F Sidique ◽  
Mad Nasir Shamsudin ◽  
Ahmad Hanis I A Hadi
Keyword(s):  
Technical Efficiency ◽  
Plant Density ◽  
Market Access ◽  
Stochastic Frontier ◽  
Mekong Delta ◽  
Stochastic Production Frontier ◽  
Land Area ◽  
Cropping Season ◽  
Stochastic Production ◽  
Input Variables

This study employed a Cobb-Douglas stochastic production frontier function to estimate the level of technical efficiency. The results of the analysis showed that cropping season of mango growers have been round year. Difference of the study compared to past researches related to tropical fruits analyzed efficiency of three seasons instead of only focusing on efficiecy of one seasson or total a year. The findings revealed that season 3 ranked first in terms of technical efficiency (58.2%), follwed by season 1 (53.6%) and then season 2 (49.2%). Moreover, the input variables that explained technical efficiency were were fertilizer (root), fertilizer (leaf) and labor in season 1; pesticide, fertilizer (leaf) and labor in seaon 2; and pesticide, fertilizer (root), fertilizer (leaf) and labor in in season 3. In addition, major determinants of socioeconomic characteristics influenced positively on technical efficiency were were plant density and land area in season 1 and season 3; market access, plant density and land area in season 2. Likewise, the constraints to mango production were wrapping bag and classifying sale in season 2, and age and wrapping bag in season 3. KEY WORDS: Technical efficiecny, Cobb-Douglas, mango, Mekong Delta

scholarly journals EFISIENSI KEUNTUNGAN USAHATANI BAWANG MERAH DI KABUPATEN NGANJUK: PENDEKATAN STOKASTIK FRONTIER

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
FUAD HASAN
Keyword(s):  
Data Analysis ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Primary Data ◽  
Profit Function ◽  
Profit Efficiency ◽  
Frontier Analysis ◽  
Profit Potential

This study aims to determine the profit efficiency and potential profits-loss of shallot farming in Nganjuk Regency. Primary data was  collected by questionnaire guidance. The numbered of respondents are 90 farmer who came from four sub-districts are Sukomoro, Rejoso, Bagor, and Gondang. Data analysis used stochastic frontier analysis (SFA) with profit function. The result of analysed shows that the average of profit efficiency was 0.614 and the profit potential lost due to the inefficiency was Rp 17.567.025,32 / hectareKeywords: shallot, profit efficiency, profit-loss

scholarly journals Determinants of profit efficiency among peanut farming households in Tra Vinh province, Vietnam

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Nguyen Huu Dang
Keyword(s):  
Stochastic Frontier ◽  
Farm Size ◽  
Profit Efficiency ◽  
Credit Access ◽  
Gender Education ◽  
Negative Effect ◽  
Farm Profit ◽  
Farming Households ◽  
Positive Effect ◽  
Significant Factors

This study is aiming to identify profit efficiency and its determinants among peanut farming households in Tra Vinh province, Vietnam, based on the data collected from 182 peanut farming households in three districts of Tra Vinh province. The Cobb-Douglas stochastic frontier profit function incorporating profit inefficiency effects was employed to analyze the data, using the Frontier 4.1. The results revealed that the profit efficiency was ranged between 29.80 to 96.76 percent, an average of 59.06 percent. Significant factors that were found negative affect the peanut farm profit were prices of fertilizer, pesticide, wage rate; whereas, the price of seed and land area (fixed factor) were found negative effect the peanut farm profit. Significant determinants that were found positive effect the profit efficiency of peanut farmers were gender, education attainment, peanut farming experience, farm size, credit access, training, and farmer’s association membership.

scholarly journals ANALISIS EFISIENSI EKONOMI USAHATANI PADI ORGANIK DAN KONVENSIONAL DI KABUPATEN TASIKMALAYA

2017 ◽  
Vol 6 (2) ◽  
pp. 145-160 ◽  
Author(s):  
Nurlela Machmuddin ◽  
Nunung Kusnadi ◽  
Yusman Syaukat
Keyword(s):  
Economic Efficiency ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Sampling Technique ◽  
Rice Farming ◽  
Policy Makers ◽  
Section Data ◽  
Stochastic Frontier Production Function ◽  
Organic Farmers ◽  
Frontier Production Function

The purpose of  this study was to analyze the economic efficiency of organic rice farming compared conventional rice farming. This study conducted using a cross section data from 100 farmers in Tasikmalaya  Regency. The farmers are selected using proportionate stratified random sampling technique which is divided into equal size of two levels. Study was performed using stochastic frontier production function and estimated by Maximum Likelihood Estimation (MLE) method.  The result showed that the mean economic efficiency of the organic farmers (0,53) is higher compared conventional farmers (0.43). Cost saving of seed and high production in organic farming as a source of gain in economic efficiency. Knowledge on the factors influencing  farm efficiency is crucial for policy makers to improving efficiency levels.

scholarly journals Global Financial Crisis and the Profit Efficiency of First Bank of Nigeria PLC; a Stochastic Frontier Analisis

2020 ◽  
Vol 11 (01) ◽  
pp. 21700-21717
Author(s):  
ABERE Benjamin Olusola ◽  
Teniola Abosede
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Research Work ◽  
Least Square ◽  
Profit Function ◽  
Profit Efficiency ◽  
The Global Financial Crisis ◽  
The Impact

This study examines the Impact of Financial Crisis on the Profit Efficiency of First Bank of Nigeria Plc. The study makes use of data covering the period 1981-2017. The objective of the research work is to analyse the trend in efficiency of First Bank of Nigeria Plc before, during and after the financial crisis The study rests on the Minsky Financial Instability Hypothesis theoretical framework and uses the translog Stochastic Frontier profit function with one output (Loans), two inputs (price of funds and noninterest expense) and two netputs (fixed assets and equity) to formally examine the impact of the Global Financial Crisis on the profit efficiency of this bank. This study also employs the Multivariate Regression Analysis to examine the relationship between the profit efficiency of the bank and some contextual variables. To achieve this objective, the study uses the Ordinary Least Square to examine the potential determinants of the bank's Profit efficiency. The result of the translog profit function shows that the bank made a significant progress during the crisis period while that of the OLS shows that the Global Financial Crisis does not have a statistically significant impact on the profit efficiency of the bank. Looking at the other determinants of the profit efficiency of the bank, the result shows that variations in the dependent variable has been largely explained by the independent variable as shown by R-square of 0.9628. Also, total asset, bank's diversification, capital strength all have positive effect on the profit efficiency of the First Bank of Nigeria while Bank's loan intensity and the Gross Domestic Product have negative impact. The study concludes that Global Financial Crisis did not have impact on the efficiency of First Bank of Nigeria Plc. It is therefore essential that the regulatory and supervisory authorities (CBN and NDIC) formulate and implement monetary policies that are effective in helping the banks to improve their operations, thereby leading to efficiency in resource allocation and utilization.  

scholarly journals A Study on Relationship between Technical Efficiency and Climate Change Manifestations among Sesame Farmers in Benue State, Nigeria

2019 ◽  
pp. 1-19
Author(s):  
B. C. Asogwa ◽  
M. P. Nwalem ◽  
G. C. Aye
Keyword(s):  
Climate Change ◽  
Technical Efficiency ◽  
Production Function ◽  
Land Tenure ◽  
Market Access ◽  
Stochastic Frontier ◽  
Negative Relationship ◽  
Farm Size ◽  
Credit Access ◽  
Access To Credit

The present study aims to analyse the relationship between technical efficiency and the adverse effect of climate change manifestations among sesame farmers in Benue State, Nigeria. A combination of purposive and random sampling techniques was used to select 372 sesame producers. Data were analysed by using the Cobb-Douglas stochastic frontier production function and Spearman correlation. The stochastic production function showed that farm size, seed, fertilizer, agrochemical and family labour significantly affect sesame output. The study also showed that education, farming experience, household size, access to extension; access to credit, access to market and membership to farmer association were positively related to technical efficiency of sesame farmers. The result further showed that the average technical efficiency of sesame farmers was 0.53. The result also revealed that there is a significant negative relationship between the level of adverse effects of climate change manifestation and technical efficiency among sesame farmers in the study area. It was therefore recommended that readily available farming inputs and subsidies should be entrenched. Credit facility, extension services and good market access should be provided to farmers. Education, information and training of farmers to adapt to climate change by changing their farming practices such as bush burning, de-forestation, rain-fed agriculture and land tenure systems should be encouraged.

scholarly journals Measuring the Efficiency Profile of Crop Production in Traditional Rainfed Sector of North Kordofan state, Sudan.

2017 ◽  
Vol 5 (5) ◽  
pp. 464
Author(s):  
Ibrahim Elnour Ibrahim ◽  
Ahmed Mohammed Morakah
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Crop Production ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Secondary Data ◽  
Sampling Technique ◽  
Primary Data ◽  
Credit Access ◽  
The Mean

The main objective of this study was to measure and analyzes economic efficiency of crop production in North Kordofan State. Secondary objectives included: estimate technical, allocative and economic efficiency and construct efficiency profile determination and the effect of socio-economic factors behind inefficiency. Primary data was collected by a structured questionnaire following stratified random sampling technique from 205 farmers, while secondary data was collected form relevant Institutional sources. The stochastic frontier production and cost function model analysis was used to estimate the technical, allocative and economic efficiency of producing crops. The predicted technical efficiency and economic efficiency are the basis for estimating allocative efficiency of farm. Results indicated that the mean technical efficiency of sorghum, millet, groundnuts and sesame were 0.57, 0.73, 0.53 and 0.74, respectively. The mean allocative efficiency of sorghum, millet, groundnuts and sesame production were 0.84, 0.83, 0.92 and 0.90, respectively. The mean economic efficiency of sorghum, millet, groundnut and sesame were 0.48, 0.62, 0.49 and 0.67, respectively. Farmers who have credit access are more technically efficient than those who have no credit access.

scholarly journals Economic Efficiency And Its Determinants In Chu-Mango Farming In The Mekong Delta, Vietnam

2021 ◽  
Vol 58 (1) ◽  
pp. 3410-3419
Author(s):  
Truong Hong Vo Tuan Kiet Et al.
Keyword(s):  
Economic Efficiency ◽  
Large Scale ◽  
Stochastic Frontier ◽  
Mekong Delta ◽  
Advanced Technology ◽  
Scale Production ◽  
Land Area ◽  
Profit Efficiency ◽  
Significance Level ◽  
Large Scale Production

The paper employed a Cobb-Douglas stochastic frontier profit function to measure the level of economic efficiency (EE) and its determinants. The structured questionnaire was used to collect data from 522 of sampling observations (212, 171, and 139 observations for seasons 1, 2, and 3, respectively) randomly selected from designated locations in the Mekong Delta (MD). The study established a mean EE of 36.2%, 31.9%, and 35.9% in seasons 1, 2, and 3, respectively. The study identifiedthe land area and wrapping bag to be positively and significantly influencing on profit efficiency among three seasons. Besides, the results of the analysis indicated that labour price was important factor in season 3 at the 5% significance level, and price of the root fertiliser, leaf fertiliser and labour affected mainly on profit efficiency in season 2 at the 1% significance level. By contrast, the variable of the fungicide price in season 2, and the root fertiliser price in season 3 were negative factors on profit efficiency at the 1% significance level. Particularly, policy solutions were recommended that farmers should design Chu-mango gardens with appropriate trees density as well as encourage gardeners to use bags for wrapping mango fruits in farming in order to increase profit efficiency. Specially, Chu-mango growers should be empowered in land area acquisition to applied advanced technology in large-scale production more effectively.

scholarly journals Impact of Irrigation Ecology on Rice Production Efficiency in Ghana

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya
Keyword(s):  
Economic Efficiency ◽  
Production Efficiency ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Cross Sectional ◽  
Rice Farmers ◽  
Effect Regression ◽  
The Impact

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.

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