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.

scholarly journals Analisis Efisiensi Usahatani Padi di Kabupaten Lampung Tengah

2017 ◽  
Vol 2 (2) ◽  
pp. 127
Author(s):  
Budi Yoko ◽  
Yusman Syaukat ◽  
Anna Fariyanti
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Agricultural Extension ◽  
Rice Production ◽  
Rice Farming ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function

<p>An effort to increase rice production through agricultural extension in Central Lampung regency is difficult. This is because of the limited land that can be used as new planning areas and high competition for land use as non-agricultural activities. Therefore, the increase in rice production through production efficiency becomes the most important alternative. The objectives of this study are to analyze the level of technical efficiency, allocative efficiency, and economic efficiency of rice farming in Central Lampung district and identified the factors that influence it. The results of the analysis using stochastic frontier production function shows that rice farming in the study area has been efficient. Average efficiency level of technical efficiency is 0,94, allocative efficiency is 0,93, and economic efficiency is 0,88. The land area is the most responsive variable in an effort to increase rice production. Variables expected to affect the degree of technical efficiency of rice farming is the number of family members of farmers, rice farming experience, acces farmers to agricultural financing, and number of agricultural extension.</p>

scholarly journals Economic Efficiency of Rice Farming:

2020 ◽  
Vol 58 (4) ◽  
Author(s):  
Kazeem Aboaba
Keyword(s):  
Economic Efficiency ◽  
Informal Education ◽  
Production Efficiency ◽  
Smallholder Farmers ◽  
Policy Issue ◽  
Rice Production ◽  
Frontier Analysis ◽  
Rice Farmers ◽  
Use Of Resources ◽  
Public Market

The future of agriculture is dependent on increase in the use of resources at disposal, it is therefore imperative that strategies to increase agricultural growth should be directed towards increasing efficiency of smallholder farming operations and resource utilization. This study examined the economic efficiency of rice production. Multistage sampling procedure was used to select 240 rice farmers with the aid of a structured questionnaire. Data collected were analyzed with descriptive techniques, Stochastic Frontier Analysis (SFA) and Tobit regression model. The SFA result revealed that input variables such as seed, herbicide and pesticide were positive and had significant effect on rice output. The rice farmers were able to maximize their output by 74% at lowest minimum cost possible. Furthermore, economic efficiency was positively influenced by age, level of education, membership of farmers association, access to public market and access to health facilities while household size, farming experience, bad road condition and distance to nearest market had negative effects. The study concluded that rice farmers were inefficient. Therefore, in order to raise rice production efficiency and improve the livelihood of smallholder farmers, farmers should attend formal and informal education as it is a key policy issue in the study area, farmers should strengthen the existing association structures and organize new farmer’s associations. Also, the local and regional governments were encouraged to provide good road networks, and public market that will enable farmers dispose their produce at attractive places and prices of their choice.

scholarly journals Economic analysis of rice production by small-holder women farmers in Adamawa State, Nigeria

2021 ◽  
Vol 7 (1) ◽  
pp. 1-12
Author(s):  
Adewuyi Adekunle Kolawole ◽  
Amurtiya Michael
Keyword(s):  
Economic Efficiency ◽  
Agricultural Sector ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Primary Data ◽  
Access To Credit ◽  
Rice Farmers ◽  
Female Farmers ◽  
The Government ◽  
Small Holder

Abstract This study is focused on analysing the economics of rice production by the small-holder female rice-farmers in Adamawa State, Nigeria. Specifically, the study described female rice-farmers’ socio-economic characteristics, analysed their technical and allocative efficiencies, and also assessed their economic efficiency in the area. Primary data were collected from 180 randomly selected female rice-farmers in Adamawa State using a semi-structured questionnaire. Descriptive statistics and stochastic frontier function were used analysing the data collected. Findings of the study revealed that the technical in-efficiency of the farmers is influenced by farming experience, education, and access to credit facilities. Also, the allocative in-efficiency of female farmers was influenced by education, household size, and access to credits. The result showed that education and access to credit facilities were common factors affecting the technical and allocative efficiency of female rice farmers in the area. The mean economic efficiency of the female farmers was 0.6. Therefore, the study recommends that the government and other actors in the agricultural sector should facilitate women’s access to credit facilities and other agricultural information relevant to rice production.

Relative efficiency, industry concentration and average stock returns

2019 ◽  
Vol 36 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Giao X. Nguyen ◽  
Wikrom Prombutr ◽  
Chanwit Phengpis ◽  
Peggy E. Swanson
Keyword(s):  
Stock Returns ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Industry Concentration ◽  
Cross Sectional ◽  
Firm Efficiency ◽  
Content Type ◽  
Profit Margins ◽  
Market Shares ◽  
The Impact

Purpose Previous research has found that industry concentration and firm efficiency affect stock returns. However, it is not clear if concentration is a byproduct of efficiency and hence its effect on stock returns is driven by efficiency. This paper aims to examine the relationships between industry concentration, firm efficiency and average stock returns. Mainly, it aims to answer if the effects of industry concentration and firm efficiency on stock returns are independent and significant. Design/methodology/approach The stochastic frontier approach is used to estimate firm efficiency. The Herfindahl index is used to measure industry concentration. Regression and vector autoregressive analyses are performed to examine cross-sectional and lagged relationships between concentration, efficiency, profitability and stock returns. The characteristics-based benchmark approach is also used to investigate performance of test portfolios. Findings Industry concentration and firm efficiency have independent and significant effects on average stock returns through profit margins and market shares, which are related to firms’ profitability. Industry concentration has a greater positive impact on market shares than on profit margins, whereas firm efficiency has a greater positive impact on profit margins than on market shares. In sum, highly efficient firms in highly concentrated markets have lower distress risks and hence provide lower average stock returns. Originality/value The paper shows the linkages between industry concentration, firm efficiency, profitability and stock returns that have not been documented together in prior studies. Businesses can better understand the impact of concentration and efficiency on market shares and profit margins. Researchers may consider incorporating concentration and efficiency, both of which are meaningful microeconomic variables, into an asset pricing model. Investors can enhance their returns by having a zero-cost portfolio with long and short positions in stocks of firms with different levels of concentration and efficiency.

scholarly journals Technical and Economic Efficiency of Rice Production in Smallholder Farmers: The Case of Fogera District, Amhara Region, Northwestern Ethiopia.

2020 ◽  
Author(s):  
Astewel Takele ◽  
Ermias Tesfaye ◽  
Assefa Abelieneh
Keyword(s):  
Economic Efficiency ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Amhara Region ◽  
Cross Sectional ◽  
Technology Applications ◽  
Older Farmers ◽  
Female Headed Households ◽  
Supply Systems

Abstract In Ethiopia, rice is a recently introduced crop which is considered as the “Millennium crop” expected to hugely contribute food security. This paper seeks to measure the technical, allocative, and economic efficiency of rain-fed rice production and identify the factors that affect the efficiency of farmers in Fogera Districts of the Amhara Region. For the study, cross-sectional data were collected from a survey of 230 smallholder rice producers. The study used stochastic frontier production(SFA) and cost function to investigate the variations in the efficiency level of rice producers. The result indicated that the TE was higher as compared with the EE and AE. The average TE ranges between 24% and 93% with a mean of 70%. However, the mean of EE was 24.40 % and the AE 37.30%. Therefore, reduction of cost of production (such as improved input supply systems), warehouse facilities to keep produce and prevent the immediate sale of a product, introducing of a contract marketing system would improve the economic efficiency of the rice farming. Intervention on education and training on female-headed households, reducing family dependency, training of older farmers’ were vital to increase the EE of rice production.Similarly, improving the farmer’s education level to boost knowledge about new rice technology applications, and frequent training of farmers would enhance the TE of farmers in the study area.

Contract farming and rice production efficiency in Ghana

2020 ◽  
Vol 10 (3) ◽  
pp. 269-284
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya
Keyword(s):  
Treatment Effect ◽  
Production Efficiency ◽  
Rice Production ◽  
Food Chains ◽  
Staple Food ◽  
Contract Farming ◽  
Content Type ◽  
Rice Farmers ◽  
Factors Influencing ◽  
Effect Regression

PurposeEven though many studies identify positive effects of contract farming (CF) on the livelihood of farmers, the use of CF as a tool to increase farm performance is unsettled debate. Information on CF is relatively not available in staple food chains. Theoretical considerations have shown that there are challenges in employing CF in staple food chains such as rice. With the increasing trend of rice CF in Ghana, it is very critical to establish its performance in rice production in Ghana. It is therefore imperative to analyse the impact of CF on the performance of smallholder rice farmers.Design/methodology/approachA survey was conducted where 350 rice farmers selected through a stratified sampling technique using structured questionnaires were interviewed. Descriptive and inferential statistics including stochastic frontier analyses and endogenous treatment effect regression were used to analyse the data.FindingsThe results from the endogenous treatment effect regression model show that CF improves rice farmers' technical, allocative and economic efficiencies by 21, 23 and 26%, respectively. Farm size and CF were identified as common factors influencing technical, allocative and economic efficiency measures of the farmers positively. It further identified age of farmer, educational level and household labour as factors influencing farmers' participation in CF positively.Research limitations/implicationsIt is recommended that CF is a good tool to enhance rice production efficiency, and hence, farmers should be encouraged to participate in CF as strategy to enhance the local rice production in Ghana.Social implicationsThe outcome of this study has the potential to influence rice production in the country. The country is a net importer of rice and just about 35% self-sufficient in rice production.Originality/valueThis study is the first to assess performance of CF in rice crop production in Ghana and also one of the few to use efficiency as a performance measure.

scholarly journals Technical efficiency of Boro rice production in Bangladesh: A case of bio-slurry application

2016 ◽  
Vol 13 (1) ◽  
pp. 101-108 ◽  
Author(s):  
H Kabir ◽  
M Musharraf ◽  
MM Haque ◽  
M Khan
Keyword(s):  
Production Efficiency ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Farm Size ◽  
Farm Income ◽  
Production Data ◽  
Chemical Fertilizers ◽  
Labour Requirement ◽  
The Impact ◽  
Boro Rice

The main objective of this study is to estimate the impact of bioslurry to Boro rice production in Bangladesh. Translog production function through Stochastic Frontier Apoproach (SFA) was applied for estimating the efficiency of Boro production. Data were collected from biogas users in the four district of Bangladesh: Mymensingh, Pabna, Thakurgaon and Dinajpur. Biogas users have received significant impact from bio-slurry to Boro rice production while chemical fertilizers have no significant impact to same production. The production efficiency of biogas users is notably different from traditional farms. The efficiency differences are explained mostly by farm size, year of education, family size and off-farm income. Bio-slurry could be applied for reducing application of chemical fertilizers, pesticides and labour requirement that lead to more organic agriculture practices with producing more output, earn more income and save foreign currency.J. Bangladesh Agril. Univ. 13(1): 101-108, June 2015

scholarly journals ANALYSIS OF EFFICIENCY AMONG RICE FARMERS IN OYO STATE, NIGERIA

2020 ◽  
Vol 6 ◽  
pp. 54
Author(s):  
Wasiu Olawale ADESHINA ◽  
Olugbenga Adesoji Christopher OLOGBON ◽  
Adewunmi Olubanjo IDOWU
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Formal Education ◽  
Technology Policy ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Primary Data ◽  
Rice Farmers

Increased rice productivity for years is not a solution if rice farming efficiency cannot be sustained for the next hundred years. The study analysed the efficiency of rice farmers in Oyo State. A multistage sampling procedure was employed to select128 rice farmers for the study. Primary data were obtained with the aid of well-structured questionnaire and interview schedule. Descriptive statistics and stochastic frontier model were employed in the analysis of the data. Majority (78.1%) of the rice farmers had one form of education or the other while the age of rice farmers ranges from 25 to 78 years and mean age of 47 years. The stochastic frontier results (Maximum Likelihood Estimates) revealed that farm output increases with farm size, hired labour, and fertilizer but decreases with herbicides. Also, technical efficiency of the farmers increases with formal education, farming experience, household size, extension contact and distance of farm to market. The mean technical efficiency, allocative efficiency and economic efficiency of 88.5 percent, 66.9 percent and 58.3 percent respectively showed that there is room for improvement in technical efficiency by 11.5 percent, allocative efficiency by 33.1 percent and economic efficiency by 41.7 percent with the present technology. Policy option requires the rice farmers to reduce the use of agro chemical. Farmers should expand their farm land to ensure efficient utilization of resources. Above all, formal education and adult literacy education should be strengthened among the rice farmers.

scholarly journals ANALYSIS OF EFFICIENCY AMONG RICE FARMERS IN OYO STATE, NIGERIA

2020 ◽  
Vol 10 ◽  
pp. 19
Author(s):  
Wasiu Olawale Adeshina ◽  
Olugbenga Adesoji Christopher Ologbon ◽  
Adewunmi Olubanjo Idowu
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Formal Education ◽  
Technology Policy ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Primary Data ◽  
Rice Farmers

Increased rice productivity for years is not a solution if rice farming efficiency cannot be sustained for the next hundred years. The study analysed the efficiency of rice farmers in Oyo State. A multistage sampling procedure was employed to select 128 rice farmers for the study. Primary data were obtained with the aid of well-structured questionnaire and interview schedule. Descriptive statistics and stochastic frontier model were employed in the analysis of the data. Majority (78.1%) of the rice farmers had one form of education or the other while the age of rice farmers ranges from 25 to 78 years and mean age of 47 years. The stochastic frontier results (Maximum Likelihood Estimates) revealed that farm output increases with farm size, hired labour, and fertilizer but decreases with herbicides. Also, technical efficiency of the farmers increases with formal education, farming experience, household size, extension contact and distance of farm to market. The mean technical efficiency, allocative efficiency and economic efficiency of 88.5 percent, 66.9 percent and 58.3 percent respectively showed that there is room for improvement in technical efficiency by 11.5 percent, allocative efficiency by 33.1 percent and economic efficiency by 41.7 percent with the present technology. Policy option requires the rice farmers to reduce the use of agro chemical. Farmers should expand their farm land to ensure efficient utilization of resources. Above all, formal education and adult literacy education should be strengthened among the rice farmers.

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