scholarly journals FACTORS AFFECTING WHEAT YIELD VARIATION OF SMALLHOLDER FARMERS IN PUNJAB PROVINCE: APPLICATION OF ORDERED LOGISTIC MODEL

2021 ◽  
Vol 37 (2) ◽  
pp. 126-131
Author(s):  
R. Saeed ◽  
M. Qasim ◽  
I. Mahmood ◽  
W. Akhtar
Keyword(s):  
Plant Protection ◽  
Smallholder Farmers ◽  
Wheat Yield ◽  
Farm Income ◽  
Chemical Fertilizers ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Yield Variation ◽  
Punjab Province ◽  
Part Time

Many socioeconomic, institutional and biophysical factors are causing high wheat yield variation among wheat growers in the country in general and in the Punjab province in specific. Ultimate purpose of present study was to determine factors affecting probability of wheat yield being in low, medium or high ordinals given the set of yield changing inputs. Cross-sectional data collected from randomly selected 320 wheat growers with 80 respondents from each of four agro-ecological regions of Punjab Province was analyzed through proportional odds model to obtain the study objectives. The study found out some socio-economic and agro-ecology related variables such as age, tractor ownership, role of income diversification through part-time farming, the contribution of smallholder tenants and owner-cum-tenants and chemical fertilizers that can significantly affect wheat yield categories of low, medium or high. Based on findings, it is imperative to support young innovative farmers having their own farm machinery, generate off-farm/on-farm income generating avenues for part-time farmers, and provide more facilities to smallholder farmers of both tenants as well as owner-cum tenant class in enhancing their wheat production of higher level. Moreover, agriculture advisory services should focus more on the cotton-wheat zone accompanied by appropriate use of seed rate, chemical fertilizers, and plant protection measures to enhance wheat yield in Punjab Province.

scholarly journals Access to bank credit by smallholder farmers in Tanzania: a case study

Afrika Focus ◽  
2018 ◽  
Vol 31 (1) ◽  
Author(s):  
Nsubili Isaga
Keyword(s):  
Regression Model ◽  
Financial Services ◽  
Smallholder Farmers ◽  
Bank Credit ◽  
Survey Method ◽  
Cross Sectional ◽  
Study Objective ◽  
Factors Affecting ◽  
Logit Regression ◽  
And Gender

Tanzania like many other developing countries is highly dependent on agriculture for income generation and job creation for its citizens. Because the sector is mainly composed of smallholder farmers, lack of finance remains the leading obstacle to development. This study seeks to determine factors that affect access to bank credit by smallholder farmers in the Mvomero District of Morogoro, Tanzania. The study used a cross-sectional design, with data being collected via the survey method. Purposeful sampling was used to obtain the respondents who fitted into the study objective. The data were analyzed using descriptive statistics and a logistic regression model. The Logit regression model in particular was employed to determine factors that affect smallholder farmers’ access to bank services. The study reveals that the value of assets invested in farming activities, education and gender are significant factors affecting smallholder farmers’ access to bank credit. Policy recommendations include the establishment of a government bank that would exclusively provide financial services to agriculturalists by establishing a credit guarantee scheme, and the development of new financial products by the banks that would cater to the needs of smallholder farmers. Key words: access, bank credit, smallholder farmers, logit regression

scholarly journals Production Efficiency of Sorghum: The Case of Smallholder Farmers in Kafta-Humera District Tigray Ethiopia

2021 ◽  
pp. 46-61
Author(s):  
Tewoderos Meleaku ◽  
Degye Goshu ◽  
Bosena Tegegne
Keyword(s):  
Production Efficiency ◽  
New Technologies ◽  
Smallholder Farmers ◽  
Allocative Efficiency ◽  
Sampling Technique ◽  
Farm Income ◽  
Stochastic Production Frontier ◽  
Resource Base ◽  
Factors Affecting ◽  
Sorghum Production

Efficiency is an important factor for increasing productivity which leads to increase market output to achieve the goal of food security. In economics where resources are scarce and opportunities to use new technologies are limited, increasing efficiency remains the most reasonable means to raise productivity without necessarily developing new technologies or increasing the resource base. So, this study aimed to investigate level of production efficiency, factors affecting production inefficiency of sorghum small holder farmers in Kafta-humera district of Tigray Ethiopia. A two stage sampling technique was used to select 289 sample farmers who were interviewed using a semi- structured questionnaire to obtain data pertaining to sorghum production during the year 2016/2017.Stochastic production frontier model was used to identify production efficiency levels, where as Tobit models was used to estimate factors affecting production efficiency levels. Accordingly, the mean technical, allocative and economic efficiencies were 78.01%, 65.21% and 39.91% respectively. This implies that output can be increased by 21.99% or cost can be reduced by 34.79% with the existing level of technology and resources. Input variables such as land, labor, tractor plow power, chemicals, DAP and Urea fertilizers positively affects production of sorghum. The discrepancy ratio (γ) implied that about 91.91% of the variation in sorghum production was attributed to technical inefficiency effects. Tobit model revealed that age, education, non-farm income, credit, extension service and training positively and significantly affected technical efficiency while age square and total livestock holding had negatively and significantly affected. Additionally, age square, education and frequency of farm visit positively and significantly affected allocative efficiency, while age, non-farm income, credit and extension contact have a negative and significant affect. Economic efficiency was positively and significantly affected by age, education, non-farm income, credit, extension contact and frequencies of farm visit but negatively affected by age square. These indicate that there is a room to increase in production efficiency of sorghum in the study area. Therefore, government authorities and other concerned bodies should take into consideration the above mentioned demographic, socioeconomic and institutional factors to increase efficiency of sorghum.

scholarly journals Determinants of aggregate agricultural productivity among high external input technology farms in a harsh macroeconomic environment of Imo state, Nigeria

2013 ◽  
Vol 13 (60) ◽  
pp. 8238-8248
Author(s):  
SO Anyanwu
Keyword(s):  
Smallholder Farmers ◽  
Agricultural Productivity ◽  
Negative Sign ◽  
Farm Income ◽  
Cross Sectional ◽  
Level Of Education ◽  
Imo State ◽  
The Government ◽  
Planting Materials ◽  
Macroeconomic Environment

The main purpose of this study was to isolate and discuss the determinants of aggregate agricultural productivity in an environment where policy on subsidy of fertilizer is inconsistent. The study examined determinants of aggregate agricultural productivity among HEIT farmers in Imo State, in order to provide information on those variables that play significant roles in determining the aggregate agricultural productivity in an environment where HEIT inputs such as inorganic fertilizer are not subsidized. Cross - sectional data generated from 80 smallholder farmers who practiced HEIT, randomly selected from 2 out of the 3 agricultural zones in Imo State were used. Multiple regressions was used in analyzing the data. Results showed that farm sizes, capital input, number of crops planted in a mixture in the farm, labour input, expenditure on planting materials, non farm income, distance to the nearest market, level of education and farming experience are the statistically significant determinants of aggregate agricultural productivity among HEIT users in a harsh macroeconomic environment of Imo State, Nigeria. The negative sign on man days of labour and expenditure on planting materials may suggest that a reduction in the current level of use of these inputs may increase aggregate agricultural productivity in Imo state. The negative sign associated with non farm income may imply that if more time is allotted to non farm activities less time would be available for allocation to farming activities which may reduce aggregate agricultural productivity. It is, therefore, recommended that appropriate policies be put in place by the government to increase the farm sizes through re-examination of the existing land laws. Credit liberalization in favour of HEIT farmers is expected to increase their labour and capital inputs while mass literacy and increase in extension contacts will increase their level of education. Credit facilities for the smallholder farmers should be skewed in favour of farmers with more years of farming experience and levels of education. Furthermore, improved planting materials should be made available to the HEIT smallholder farmers in the country, if aggregate agricultural productivity is to be increased under the prevailing macroeconomic environment.

scholarly journals Determinants of Capital Formation of Smallholder Farmers in Kyrgyzstan

2018 ◽  
Author(s):  
Dastan Aseinov ◽  
Burulcha Sulaimanova ◽  
Kamalbek Karymshakov
Keyword(s):  
Smallholder Farmers ◽  
Household Survey ◽  
Capital Formation ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Positive Effects ◽  
Head Of Household ◽  
Household Survey Data ◽  
Physical Assets

Capital formation is crucial to increase output volume and quality in agricultural production activity of households. This study examines factors affecting capital formation of smallholder farmers in Kyrgyzstan ranging from household characteristics to location of farmers. Along with other traditional potential constraints that may have impact on capital formation, we examine the role of social network activities. These expenditures on customs and traditions may have both negative and positive effects on the capital formation in agriculture. Our empirical analysis is based on the cross-sectional household survey data for 2013. According to our findings, the amount of physical assets of households in Kyrgyzstan mainly depends on the share of expenses on customs and traditions, the total income, gender differences and the ethnicity of the head of household.

scholarly journals Performance of Smallholder Soybean Farmers in Ghana; Evidence from Upper West Region of Ghana

2020 ◽  
Author(s):  
Francis Akabo Asodina ◽  
Faizal Adams ◽  
Fred Nimoh ◽  
Bright Owusu Asante ◽  
Amos Mensah
Keyword(s):  
Technical Efficiency ◽  
Poverty Alleviation ◽  
Production Efficiency ◽  
Smallholder Farmers ◽  
Cross Sectional ◽  
Scale Elasticity ◽  
Factors Affecting ◽  
Soybean Production ◽  
West Region ◽  
Production Practices

Abstract The economic importance of soybean towards poverty alleviation and food security is gaining wider popularity and common acceptance among smallholder farmers in sub-Sahara Africa, especially in Ghana. Commercial soybean cultivation is relatively new in Ghana; hence it has recently benefited from several productivities enhancing innovation/technologies. However, despite these efforts, productivity has remained low. This paper investigates factors affecting production efficiency among commercial soybean farmers, across the three commercial districts of the Upper West region of Ghana. A cross-sectional data collected from 271 soybean farmers were used to investigate technical efficiency of soybean production. The overall mean technical efficiency estimate is 59% with a scale elasticity of 0.89-indicating a huge scope for efficiency improvement. The result shows that, factors affecting technical efficiency are dependent on the farmer’s socioeconomic status. With the existing technology and production recourses, soybean farmers can improve their current levels of soybean production by 41% through the adoption of best production practices.

scholarly journals Market Awareness and Participation for Cattle Farmers in the Kaonafatso ya Dikgomo (KyD) Scheme in KwaZulu-Natal Province, South Africa

Agriculture ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 215
Author(s):  
Ngarava ◽  
Mushunje
Keyword(s):  
South Africa ◽  
Smallholder Farmers ◽  
Herd Size ◽  
Marketing Channels ◽  
Farm Income ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Income Source ◽  
Auction Market ◽  
Kwazulu Natal

The objective of the study was to outline the determinants of market awareness and participation in the Kaonafatso ya Dikgomo (KyD) scheme in South Africa. The study utilised a cross-sectional survey of a randomly selected sample of 116 KyD farmers in KwaZulu-Natal Province. A Logit model was used to analyse the data. The results show that more farmers are aware of farmgate market channels, but however, they tended to utilise auction market channels. Furthermore, gender, marital status, educational level, employment status, farm income, source of income, herd size, labour and training were significant variables in the awareness and use of butcheries, auctions and farm gate markets. The study concludes that the scheme is particularly effective in influencing commercialisation through utilisation of more lucrative market channels such as auctions. Furthermore, socio-economic factors had a bearing on the awareness and use of marketing channels for smallholder farmers in the KyD scheme. Labour was particularly significant across butchery, auction and farm gate market channels. The study recommends that the scheme needs to improve awareness and use of market channels through utilisation of information platforms such as radio, television and direct communication though mobile phones. Furthermore, extension should assist farmers not only in awareness of markets, but also in the utilisation of those markets.

scholarly journals Impact of high yielding wheat varieties adoption on farm income of smallholder farmers in Ethiopia

2019 ◽  
Vol 7 (1) ◽  
pp. 45-59
Author(s):  
Regasa D. Wake ◽  
Degye G. Habteyesus
Keyword(s):  
Smallholder Farmers ◽  
Average Treatment Effect ◽  
Farm Income ◽  
Control Groups ◽  
Wheat Varieties ◽  
Cross Sectional ◽  
The Government ◽  
Livestock Productivity ◽  
On Farm ◽  
The Impact

The objective of this study was to assess impact of adoption of high yielding wheat varieties on farm income in Mao-Komo district of Benishangul-Gumuz, Ethiopia. The study used cross-sectional data collected from sample of 174 farm households selected through two-stage stratified random sampling techniques. Descriptive statistics and econometric models were used to analyze the data. Propensity score matching (PSM) applied to analyze the impact of adoption on farm income. The result of the PSM estimation showed that adoption of high yielding wheat varieties has significant impact on farm income of treated households as compared to the control groups. The treated households had earned farm income of about 21452 Ethiopian Birr per year while the untreated smallholders earned farm income of only 11141 Ethiopian Birr. The average treatment effect on the treated (ATT) of farm income of adopters is greater than non-adopters that has brought about 9 % increases in farm income of smallholders. The findings suggest that the government and stakeholders should need to focus on improving farm land and livestock productivity, strengthening the provision of education, and frequency of extension visits, encouraging participation in non-farm activities, creating reliable information and awareness towards farmers’ perceptions, and improving infrastructures in the area. Finally, further support of high yielding wheat varieties adoption should be given due attention for its impact on farm income generation of smallholders. 

scholarly journals Commercialization of Smallholder Pulse Producers in East Gojjam Zone, Ethiopia

2019 ◽  
Vol 8 (4) ◽  
pp. 84
Author(s):  
Assefa Tilahun ◽  
Jema Haji ◽  
Lemma Zemedu ◽  
Dawit Alemu
Keyword(s):  
Smallholder Farmers ◽  
Farming System ◽  
Farm Households ◽  
Market Information ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Commercial Farming ◽  
New Varieties ◽  
Livestock Feeding ◽  
Land Size

This study examines pulse producers’ commercialization using a cross-sectional data obtained from 385 randomly and proportionately selected sampled households from East Gojjam zone, Amhara National Regional State of Ethiopia. Data were analyzed using descriptive statistics and econometric model to characterize sample households and identify factors affecting pulse output commercialization. The mean commercial index for the sample households was 0.345 which indicates that on average a household sold 34.5% of his/her total pulse produce. As a result, farm households’ output commercialization levels fall in semi-commercial farming system. Two limit Tobit model result indicated that farm households’ crop output commercialization was positively and significantly influenced by access to improved seed, cooperative membership, land size, access to market information and pulse yield and was negatively and significantly influenced by family size and livestock owned. Based on the findings, improved seed/new varieties should be released and accessed to smallholder farmers, deliver market information timely, land owned allocation should be intensified so that smallholder producers can increase their crop output commercialization, strengthening the existing farmers’ cooperatives and finally cut and carry livestock feeding system should be practiced in order to manage farm land properly.

scholarly journals Application of Probit Analysis in the Decision of Youths to Participate in Vegetable Production

2020 ◽  
Vol 1 (5) ◽  
pp. 1-7
Author(s):  
Nsikak-Abasi Etim ◽  
Dorothy Thompson
Keyword(s):  
Agricultural Production ◽  
Smallholder Farmers ◽  
National Development ◽  
Probit Analysis ◽  
Primary Data ◽  
Farm Income ◽  
Small Scale ◽  
Vegetable Production ◽  
Probit Regression ◽  
Factors Affecting

Youths are successor farming generation and therefore the future of food security. At present, they constitute about 60% of Nigeria’s population and have over the years contributed significantly to national development. Unfortunately, the present environment makes it  difficult to explore their full potentials in  production through participation in agriculture. The ageing smallholder farmers are less likely to increase capacity needed to sustainably expand agricultural production. There is therefore a pressing need to engage the youth in ways that they can see a promising future in agriculture as well as influence them to build capacity through effective involvement in agricultural production. Several factors however, have continued to hinder capacity building and effective  participation of youths in vegetable farming. An empirical study was conducted to estimate the factors affecting the willingness  of youth to  participate in small scale waterleaf production. The representative waterleaf producers were selected using the multi stage sampling procedures.With the aid of questionnaire, primary data were obtained from 100 farmers. Univariate probit regression model was used to analyze the data. Results of analysis indicated that the most critical factors affecting the participation of youths in waterleaf production were age, educational qualification, size of household members, and farm income. Results indicated that youths who have acquired some form of education were more willing to be involved in waterleaf production. Findings further indicated that youth in families with higher income from farming activities were more willing to participate in waterleaf production.

scholarly journals Determinants of Maize Commercialization among Smallholder Farmers: The Case of Nunu Kumba District, East Wollega Zone, Oromia Regional State, Western Ethiopia

2019 ◽  
pp. 1-8
Author(s):  
Mabiratu Dangia ◽  
Prem Kumar Dara ◽  
Gersam Daniel
Keyword(s):  
Smallholder Farmers ◽  
Household Head ◽  
Institutional Arrangement ◽  
Ordered Logit ◽  
Market Participation ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Household Level ◽  
Speed Up ◽  
Infrastructure Strengthening

This study were aimed at analyzemaize producer’s household level of market participation, determinants of maize producer household’s degree of market participationand determinants of maize producer households level of commercialization in the study area. The study used a cross sectional data collected from 345 randomly selected households from four kebeles through semi-structured household questionnaires. Tobit model was used to analyze determinants of level of market participation of maize producers and ordered logit model was used to assess the factors affecting household maize commercialization.Based on Tobit result family size and distance from nearest market affected market participation of maize producers significantly and negatively, and land allocated for maize, access to improved seed, raw planting, amount of credit received and membership of cooperative affected market participation of maize producers significantly and positively. The result of ordered logit revealed that Marital status, Household size, distance from nearest market and age of household head significantly and negatively affected level of commercialization. Whereas, Household labor supply, access to improved seed, amount of fertilizer, credit amount, and household head education class positively and significantly affected level of commercialization. Policies that give more emphasis to family planning, improving and strengthening rural infrastructure, strengthening institutional arrangement like cooperatives have paramount implications to speed up the move from subsistence and semi commercial towards commercial oriented production.

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