scholarly journals Effect of Agricultural Credit Access on Rice Productivity: Evidence from the Irrigated Area of Anambe Basin, Senegal

2020 ◽  
Vol 12 (3) ◽  
pp. 78
Author(s):  
Mouhamadou Foula Diallo ◽  
Jiajun Zhou ◽  
Hamidullah Elham ◽  
De Zhou
Keyword(s):  
Technical Efficiency ◽  
Land Tenure ◽  
Stochastic Frontier Analysis ◽  
Rice Production ◽  
Agricultural Credit ◽  
Credit Access ◽  
Frontier Analysis ◽  
Rice Productivity ◽  
Rice Farmers ◽  
The Impact

Rice is an important staple food in many developing countries, especially in Senegal. However, rice production in Senegal only meet 20% of the domestic demand largely due to the poor performance of rice farmers and low productivity. Access to agricultural credit has strong impacts on the technical efficiency of farmers and would promote inputs and new technology adoption. But that is not clear enough in previous studies. This study investigates the impact of agricultural credit access on rice productivity and technical efficiency with 260 random sampled rice farmers from Anambe basin in Senegal. The Stochastic Frontier Analysis (SFA) was adopted to estimate the technical efficiency. The results indicate that the inputs of rice production, including labor, pesticide, herbicides and fertilizer, have significant impacts on rice productivity. Furthermore, the results present that the average efficiency is of 0.813 and the inefficiency estimation model reveals that the influences of agricultural credit access, gender, education, ethnicity, use of improved seed and land tenure system on technical inefficiency of rice production are significant. Particularly, for the access to agricultural credit, rice farmers without agricultural credit would get 3.8% higher production inefficiency. The farmers with access to credit yield 37.32% higher rice production than their counterparts. Therefore, our study provides strong empirical evidence to promote agricultural credit in rice production.

scholarly journals Resource use efficiency among rice farmers around fragile ecosystems: evidence from Kilombero Wetland, Tanzania

2020 ◽  
Vol 14 (3-4) ◽  
pp. 77-88
Author(s):  
Philip Kamau ◽  
Daniel Willy ◽  
Lucy Ngare
Keyword(s):  
Technical Efficiency ◽  
Resource Use ◽  
Stochastic Frontier Analysis ◽  
Rice Yield ◽  
Rice Production ◽  
Farm Income ◽  
Efficient Production ◽  
Study Objective ◽  
Frontier Analysis ◽  
Rice Farmers

Farmers have been encroaching fragile wetlands as a strategy to increase their rice production thus threatening wetlands’ existence and capacity to other critical ecosystem services. This calls for efficient production to strike the balance between food rice production and wetlands’ sustainable existence. The current study sought to provide assess rice farmers’ technical efficiency of resource use by detecting the determinants of rice yield and further identify the determinants of technical efficiency of the resources used by rice farmers in Kilombero wetland. A cross-sectional survey of 145 randomly sampled farmers aided in achieving the study objective. A stochastic frontier analysis (SFA) model was used to analyze data. The mean technical efficiency among farmers was at 60.54% level. The positive determinants of rice yield were land and fertilizers while labor influenced it negatively. Age, education, farming experience, group membership, and credit access reduced inefficiency while the distance to the extension agent and off-farm income increased farmers’ inefficiency. The study concludes that there is a possibility of expanding rice production without threatening the wetland’s existence. It recommends that government and other stakeholders to ensure that rice farmers are up-to-date with optimal use of fertilizers in rice production since it will assist in improving rice yield while the rate of expansion of rice lands in the wetlands will lower. Policy implementers ought to establish initiatives that inspire rice farmers to capitalize on farmer groups and join education programs to take full advantage of their potential efficiency and might participate in community development activities. JEL code: Q15

scholarly journals Profitability Comparison Between Boro Rice and Maize Production in Dinajpur District

2021 ◽  
Vol 8 (1) ◽  
pp. 51-56
Author(s):  
Rozina Yeasmin ◽  
Mohammad Saidur Rahman ◽  
Mohammad Ismail Hossain
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Cost Ratio ◽  
Maize Production ◽  
Frontier Analysis ◽  
Benefit Cost Ratio ◽  
Rice Farmers ◽  
Benefit Cost ◽  
Boro Rice

The study focuses on comparing technical efficiency and profitability between Boro rice farmers and maize farmers in Dinajpur district consisting of 150 randomly collected samples which are analyzed with statistical software STATA 12.0 version. Stochastic Frontier Analysis (SFA) is used to accomplish the first objective where it is found that the maize farmers are efficient compared to boro-rice farmers. The deviation of the mean technical efficiency is estimated at 0.09. In addition maize farmers are also more profitable than boro-rice farmers estimated with a benefit Cost Ratio (BCR) of1.08 is for boro-rice and 1.26 is for maize production. The net profit for boro-rice is estimated as 10,527.60 Tk./ha whereas 28,966.40 Tk./ha for maize producers. However mean technical efficiency of boro-rice (0.44) and maize (0.53) cultivation clearly indicates that better utilization of resources will raise the efficiency and profitability for both crops production. Res. Agric., Livest. Fish.8(1): 51-56, April 2021

scholarly journals Comparison of Cambodian Rice Production Technical Efficiency at National and Household Level

2017 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Capital Investment ◽  
Stochastic Frontier Analysis ◽  
National Level ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Frontier Analysis ◽  
Household Level ◽  
The Government ◽  
National Analysis

Rice is the most important food crop in Cambodia and its production is the most organized food production system in the country. The main objective of this study is to measure technical efficiency (TE) of Cambodian rice production and also trying to identify core influencing factors of rice TE at both national and household level, for explaining the possibilities of increasing productivity and profitability of rice, by using translog production function through Stochastic Frontier Analysis (SFA) model. Four-years dataset (2012-2015) generated from the government documents was utilized for the national analysis, while at household-level, the primary three-years data (2013-2015) collected from 301 rice farmers in three selected districts of Battambang province by structured questionnaires was applied. The results indicate that level of rice output varied according to the different level of capital investment in agricultural machineries, total actual harvested area, and technically fertilizers application within provinces, while level of household rice output varied according to the differences in efficiency of production processes, techniques, total annual harvested land, and technically application of fertilizers and pesticides of farmers. The overall mean TE was estimated at 78.4% (national-level) and 34% (household-level), indicates that rice output has the potential of being increased further by 21.6% (national production) and 66% (household) at the same level of inputs and technology if farmers had been technically efficient. The TE also recorded -7% decreasing rate at the national-level and -14.3% at household-level due to highly affected of natural disasters and various environmental and social factors during the study periods.

scholarly journals IMPACT OF AGRICULTURAL CREDIT ACCESS ON AGRICULTURAL PRODUCTIVITY AMONG MAIZE AND RICE SMALLHOLDER FARMERS IN RWANDA

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Nathan Kanuma Taremwa ◽  
Ibrahim Macharia ◽  
Eric Bett ◽  
Eucabeth Majiwa
Keyword(s):  
Smallholder Farmers ◽  
Agricultural Productivity ◽  
Structured Interviews ◽  
Agricultural Credit ◽  
Credit Access ◽  
Maize Productivity ◽  
Rice Farmers ◽  
Specific Analysis ◽  
The Impact ◽  
Matching Techniques

This paper assesses the impact of access to agricultural credit on the agricultural productivity of 422 smallholder farmers that cultivate maize or rice in the Western and Eastern province of Rwanda. Stratified, simple random and convenience sampling techniques were used to sample districts, sectors, cells and households. Data were collected using structured interviews and analyzed using propensity score matching techniques. Results indicated that productivity was higher by 44% among the farmers who accessed credit implying that they harvested on average an extra 440 kilograms of maize or rice. According to a crop-specific analysis, agricultural credit access had a more significant impact on maize productivity, with a difference in proportion of 68% (p = 0.000) but had no impact on rice productivity (p = 0.149). The study concludes that agricultural credit was important for Rwanda’s agricultural productivity. Thus policy measures should aim at improving smallholder farmers’ access to agricultural credit and promoting the use of modern agricultural inputs, particularly among rice farmers in Rwanda

scholarly journals Estimation of technical efficiency of Czech farms operating in less favoured areas

2019 ◽  
Vol 65 (No. 10) ◽  
pp. 445-453
Author(s):  
Tamara Rudinskaya ◽  
Tomas Hlavsa ◽  
Martin Hruska
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Agricultural Area ◽  
Farm Size ◽  
Identification System ◽  
Accounting Data ◽  
Frontier Analysis ◽  
The Impact

This paper deals with the technical efficiency analysis of farms in the Czech Republic. The empirical analysis provides an evaluation of technical efficiency with regard to the farm size, farm specialisation, and farm location. Accounting data of Czech farms from the Albertina database for the years 2011–2015 were used for the analysis. The data were classified by the utilised agricultural area and location of the farm expressed as a less favoured area type from the Land Parcel Identification System (LPIS) database. Research was conducted using the translogarithmic production function and Stochastic Frontier Analysis. The results indicate positive impact of farm size, expressed by utilised agricultural area, on technical efficiency. The analysis of the impact of farm specialisation on technical efficiency verified that farms specialised on animal production are more efficient. The lowest technical efficiency is shown by farms situated in mountainous Less Favoured Areas (LFAs), the highest technical efficiency by farms located in non-LFA regions.

The ripple effect of credit accessibility on the technical efficiency of maize farmers in Ghana

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anthony Siaw ◽  
Yuansheng Jiang ◽  
Martinson Ankrah Twumasi ◽  
Wonder Agbenyo ◽  
Gideon Ntim-Amo ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Credit ◽  
Maize Production ◽  
Content Type ◽  
Frontier Analysis ◽  
Access To Credit ◽  
Variable Approach ◽  
The Impact

PurposeThe purpose of this study is to examine the impact of access to credit on technical efficiency (TE) of maize farmers in a developing country, Ghana.Design/methodology/approachThe study employed an instrumental variable approach and the stochastic frontier analysis (SFA) method for the estimation of the results.FindingsThe study found that farmers who have access to agricultural credit stand the chance of increasing TE by a margin of 8%, which also influences the maize production than those who did not have access to credit. The average TE score of the farmers was 74%. The study also found out that factors like membership, gender, farmers' access to credit, age and social network determine farmers' possibility of accessing agricultural credit. The study finds out that returns to size are increasing among the maize farmers and that significant improvement in efficiency can be realized by increasing the level of input used in production. Also, factors such as farm size, labor, seeds and fertilizer are the essential determinants of maize production output. Also, gender, extension, age, off-farm income, access to credit and membership were significant factors influencing technical inefficiency (TI).Originality/valueThe paper contributes to the existing literature on agricultural credit on rural agricultural development. The problem of endogeneity associated with access to credit, which has been considered by other researchers, is dealt with this study. This paper also provides information to government policymakers, practitioners and all other stakeholders in the maize sub-sectors and also will benefit small farmers outside the study area.

scholarly journals Closing yield gaps in Colombian direct seeding rice systems: a stochastic frontier analysis

2020 ◽  
Vol 38 (1) ◽  
pp. 110-119
Author(s):  
David Arango-Londoño ◽  
Julián Ramírez-Villegas ◽  
Camilo Barrios-Pérez ◽  
Osana Bonilla-Findji ◽  
Andy Jarvis ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Direct Seeding ◽  
Limiting Factors ◽  
Nitrogen Application ◽  
Irrigated Rice ◽  
Frontier Analysis ◽  
Yield Gaps

Rice is one of the most important crops in terms of harvested area and food security both globally and for Colombia. Improvement of technical efficiency levels in rice production in order to close yield gaps in a context in which rice demand increases, natural resources are depleted, and where there are growing expectations about both climate changes and trade agreements is likely the most important challenge that farmers confront. This research assessed the main management factors that limit both rice crop productivity and the likely drivers of non-optimal technical efficiency levels (a proxy for yield gaps). This study focused on both upland and irrigated direct seeding systems across a variety of environments in Colombia. Stochastic frontier models were used to integrate microeconomic theory and empirical regression analysis in conjunction with a large commercial rice production database developed by the Colombian rice growers’ federation (Fedearroz). A large variation was found in technical efficiency (from 40 to 95%) levels for both upland and irrigated systems, and major differences were obtained in the limiting factors of the two systems (e.g. seed availability, variety type, market accessibility, fertilizer type, and use rate). This suggests both substantial and varied opportunities for improvements in current technical efficiency levels. Across systems, the correct choice of variety was identified as a common key factorfor maximizing yield for a particular environment. For upland systems, optimal choices were F174 and F2000, whereas for irrigated rice F473 was found to produce the highest yield. Additionally, numerical analysis suggests a yield impact of ca. 0.18% for each 1% increase in the nitrogen application rate for upland systems. For irrigated rice, phosphorous rather than nitrogen application rates were found to be more important. Since our analysis is based on farm-scale commercial production data, we argue that once our results are brought to consensus with local extension agents, technicians and agronomists, then management recommendations for closing yield gaps can be used to improve rice productivity.

scholarly journals Does climate change adaptation lead to increased productivity of rice production? Lessons from Ebonyi State, Nigeria

2020 ◽  
pp. 1-15
Author(s):  
Robert Ugochukwu Onyeneke
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Returns To Scale ◽  
Rice Production ◽  
Probit Regression ◽  
Rice Varieties ◽  
Rice Productivity ◽  
Impact Of Climate Change ◽  
Rice Farmers ◽  
The Impact

Abstract Climate change negatively impacts rice productivity in different parts of Africa. As a matter of necessity, farmers must respond to changing the climate by choosing adaptation strategies that increase their productivities. Incidentally, studies that documented the impact of climate change adaptation actions of farmers on rice productivity are few. This study therefore analyzed the impact of climate change adaptation decisions of farmers on the profitability of rice production using cross-sectional data gathered from 240 rice farmers selected from Ebonyi State, an important rice-producing State in Nigeria, Africa's most populous country. Using descriptive statistics, multivariate probit regression, instrumental variable regression and endogenous treatment effect model, the study revealed that the common adaptation actions of rice farmers involved adoption of minimum tillage, bond and drainage, fertilizer, crop diversification, livelihood diversification, improved rice varieties, pesticide, nursery, and adjusting planting and harvesting dates. The study found several significant interactions between the choice of climate change adaptation actions and socio-economic, farm, institutional and location characteristics of rice farmers. The result further revealed that multiple adaptation decisions of farmers significantly increased returns to scale and profit of rice production. The study concludes that adaptation decisions are effective in increasing the profitability and returns to scale of rice production in the area and other regions with similar geographical, meteorological and socio-economic contexts.

scholarly journals Women Participation: A Productivity Strategy in Rice Production

2020 ◽  
Vol 12 (7) ◽  
pp. 2870 ◽  
Author(s):  
Abubakar Rasheed ◽  
Gershom Endelani Mwalupaso ◽  
Qasir Abbas ◽  
Xu Tian ◽  
Rafay Waseem
Keyword(s):  
Technical Efficiency ◽  
Rural Economy ◽  
Poverty Reduction ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Frontier Analysis ◽  
Women's Participation ◽  
Development Goals

Agriculture is an important engine for economic growth and a vigorous driver of poverty reduction in developing countries. In Pakistan, rice production is one of the most essential sectors. However, it has been underperforming, largely because of low women’s participation, which is often a crucial resource in agriculture and the rural economy. Unfortunately, previous studies have seldom recognized and emphasized the role of women in triggering agricultural and rural development. We address this research gap using 300 farm households’ survey data forms collected from Pakistan farmers by applying the stochastic frontier analysis. The results indicate that women’s participation is associated with higher labor/land ratio, land productivity, and finally improved technical efficiency. Precisely, women’s participation increased technical efficiency (TE) by 47.3%. Interestingly, in view of previous studies, this evidence is not sporadic. Overall, our study provides some evidence to promote women’s participation in rice production, as such empowerment of women holds great potential to enhance agricultural production, which is consistent with the aim of sustainable development goals (SDGs).

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