scholarly journals Factors influencing the adoption of improved vegetable production practices among women farmers in Aguata-Agricultural Zone, Anambra State, Nigeria

Agrosearch ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 67-81
Author(s):  
L.E. Odoemlam ◽  
F.C. Nzeakor
Keyword(s):  
New Technologies ◽  
Women Farmers ◽  
Farm Size ◽  
Farm Income ◽  
Vegetable Production ◽  
Probit Regression ◽  
Factors Influencing ◽  
Production Practices ◽  
Adoption Level ◽  
On Farm

The study examined the level and determinants of adoption of improved vegetable production practices in the study area. A three-stage sampling procedure was used in the selection of 160 respondents. A structured questionnaire was used for data collection. Data collected were analysed using descriptive statistics and Probit regression model. Results on adoption level of the selected improved vegetable production practices indicated that improved seeds had a grand mean of 𝑥̅ = 3.17, field preparation (𝑥̅ = 3.19), planting distance (𝑥̅ = 2.99), water management (𝑥̅ = 3.43), fertilizer/organic manure application (𝑥̅ = 3.55), pesticides (𝑥̅ = 2.57), harvesting ( 𝑥̅= 5.00) and storage procedure (𝑥̅ = 4.89) based on 5-point Likert scale adoption level. On factors influencing adoption of improved vegetable production practices, the result revealed that farm size (1.00188***), credit access (4.704902**), on-farm demonstration (2.900749**) and farm labour (1.295902***) had a positive and significant influence on improved vegetable production practices by the respondents. The result further indicated that the age (0.3135258***) and the off-farm income (0.0870768) of the farmers had a negative influence on the adoption of improved vegetable production practices. Based on these findings, the study revealed that the women farmers could have full adoption of the improved production practices if the factors are adequately addressed. The study therefore recommends that before the introduction of a new technology, the ADPs should ensure that maximum audience analysis is carried out to address some of the factors influencing adoption. Besides, introduction of new technologies to farmers should go hand-in-hand with on-farm demonstration since it is by that they would develop confidence and allay their fears associated with improved practices.

scholarly journals Factors Influencing the Adoption of Climate-Smart Irrigation Technologies for Sustainable Crop Productivity by Smallholder Farmers in Arid Areas of South Africa

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1222
Author(s):  
Batizi Serote ◽  
Salmina Mokgehle ◽  
Christian Du Plooy ◽  
Sylvester Mpandeli ◽  
Luxon Nhamo ◽  
...  
Keyword(s):  
South Africa ◽  
New Technologies ◽  
Smallholder Farmers ◽  
Rural Livelihoods ◽  
Limpopo Province ◽  
Farm Size ◽  
Probit Regression ◽  
Local Conditions ◽  
Factors Influencing ◽  
Irrigation Technologies

The adoption of climate-smart irrigation technologies amongst smallholder farmers generally remains low beside their role in combating food and nutrition security in a society and in climate change adaptation strategies. This study identified the factors influencing smallholder farmers’ decision to adopt Climate Smart Irrigation Technologies (CSIT) in the Limpopo Province of South Africa. Data were collected through the completion of a face-to-face structured questionnaire by 100 smallholder farmers selected through convenience and purposive sampling. A probit regression and OLS model were used to identify factors that influence the smallholder farmer’s decision to adopt CSIT and the level of adoption. The results indicated that only 46% of the smallholder farmers adopted climate-smart irrigation technologies and suggested that adoption is influenced positively by factors such as gender, age, district, farm size, staple food production and knowledge on CSIT. There is an urgent need for related stakeholders to transform the smallholder farmer subsector through improved extension services, training, adopting resilient crop varieties, promoting underutilized and nutrient-dense crops adapted to harsh local conditions, and other interventions. This should be done by promoting awareness to smallholder farmers regarding these interventions and new technologies that have the potential to improve rural livelihoods and enhance resilience and adaptation.

scholarly journals Assessing the Impact of Climate Resilient Technologies in Minimizing Drought Impacts on Farm Incomes in Drylands

2021 ◽  
Vol 14 (1) ◽  
pp. 382
Author(s):  
Josily Samuel ◽  
Chitiprolu Anantha Rama Rao ◽  
Bellapukonda Murali Krishna Raju ◽  
Anugu Amarender Reddy ◽  
Pushpanjali ◽  
...  
Keyword(s):  
Household Income ◽  
Farm Size ◽  
Farm Income ◽  
Farm Household ◽  
Cropping Pattern ◽  
Factors Influencing ◽  
Control Village ◽  
On Farm ◽  
The Impact ◽  
Livestock Rearing

Abstract: Asia is the region most vulnerable to climate change and India is ranked as one of the most climate vulnerable countries in the world, frequently affected by natural disasters. In this study, we investigated the impact of drought on crop productivity, farmer’s employment and income. The difference-in-difference model (DID) and stepwise multiple linear regression (MLR) were employed to quantify the impact of adopting climate resilient technologies (CRTs) on farm household income during a drought. The factors influencing farm incomes were analyzed using MLR. The study used survey data collected from the drought prone district of Telangana, India. Sixty farmers each from a village adopted under the National Innovations in Climate Resilient Agriculture (NICRA) program and a control village were interviewed. Primary data on the socio-economic characteristic of farmers, cropping pattern, income composition, productivity of major crops, employment and climate resilient interventions adopted by farmers were collected using a well-structured schedule. The results reveal that income crop cultivation was the major contributor to household income (60%) followed by livestock rearing. Farmers reported that droughts decreased the income from crops by 54 per cent and income from livestock rearing by 40 per cent. The farmers belonging to the climate resilient village had 35 per cent higher incomes compared to those in the control village and it was estimated to be Rs. 31,877/farm household/year during droughts using the DID estimate. Farm size, livestock possession, adoption of CRTs and investment in agriculture were the determining factors influencing farm income. Thus, farmers especially in drought prone regions need to be encouraged and supported to adopt cost effective, location specific climate resilient technologies.

scholarly journals DETERMINANTS OF AGRICULTURAL LOAN DECISION MAKING PROCESS FOR RICE (ORYZA SATIVA) FARMERS IN ABUJA, NIGERIA. APPLICATIONS OF HECKMAN TWO-STAGE MODEL AND FACTOR ANALYSIS

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Olugbenga Omotayo Alabi ◽  
Ayoola Olugbenga Oladele ◽  
Mohammed Bello Usman
Keyword(s):  
Rice Production ◽  
Farm Size ◽  
Farm Income ◽  
Decision Making Process ◽  
Stage Model ◽  
Gross Margin ◽  
Two Stage ◽  
Rice Farmers ◽  
Factors Influencing ◽  
Socio Economic Factors

This study focuses on determinants of the agricultural loan decision-making process of rice (Oryza sativa) farmers in Abuja, Nigeria, using the Heckman two-stage model and factor analysis. This study was designed specifically to achieve the following objectives: determine the socio-economic profiles or characteristics of rice farmers, analyze the costs and returns of rice production, evaluate factors influencing rice farmers’ decision to obtain an agricultural loan, evaluate socio-economic factors influencing the amount of the agricultural loan, and determine the constraints or problems facing rice farmers. A multi-stage sampling design was employed. A total sample of one hundred (100) rice farmers was included, and primary data were utilized. Data were obtained through the use of a well-structured and well-designed questionnaire. Statistical and econometric tools used in analyzing data included descriptive statistics, gross margin analysis, financial analysis, the Heckman two-stage model, and principal component analysis. The results show that 63% of rice farmers were between the age of 31–50 years. The mean age was 41.90 years. About 65% of rice farmers were male, and 54% of them were married. Also, 93% of rice farmers had formal education and were literate. The household sizes were large, with an average of six persons per household. An average of 71,550 nairas was the loan amount granted to rice farmers by financial institutions. The average farm size amounted to 1.49 hectares. Factors influencing the decision of rice farmers to obtain agricultural loan included age (P < 0.01), marital status (P < 0.05), household size (P < 0.10), educational level (P < 0.05), farm size (P < 0.05), farm and non-farm income (P < 0.10), farm experience (P < 0.05), collateral property (P < 0.05), extension services (P < 0.10), and awareness of loan or credit facilities (P < 0.05). Rice production was profitable with a net farm income of 744,300 nairas. The gross margin ratio of 0.95 means that 95 kobos covered profits, taxes, expenses, interest, and depreciation for every naira invested in rice production activities. Socio-economic factors statistically and significantly influencing the amount of agricultural loan obtained by rice farmers included (P < 0.05) sex (P < 0.01), household size (P < 0.05) and educational level (P < 0.01). The constraints facing rice farmers in obtaining the agricultural loan and production activities included lack of collateral property, lack of fertilizer input, poor-quality feeder roads, lack of credit facilities, inadequate labor input, and complicated and costly administrative procedures to obtain a loan. It is recommended that agricultural loans be made available to rice farmers in sufficient amounts and at low-interest rates. Also, farm inputs, fertilizer inputs, improved seeds, and chemicals should be made available to rice farmers

Assessment of profitability and risk management in vegetable production in Ogun State, Nigeria

2021 ◽  
Vol 1 (2) ◽  
pp. 029-035
Author(s):  
Akinbola Adeyose Emmanuel
Keyword(s):  
Risk Management ◽  
Fertilizer Application ◽  
Sampling Procedure ◽  
Study Data ◽  
Least Square ◽  
Farm Size ◽  
Farm Income ◽  
Vegetable Production ◽  
Gross Margin ◽  
Ogun State

The study examined the performance and risk management of vegetable production in Ogun State, Nigeria. A multistage sampling procedure was used to select 120 respondents for the study. Data were collected through a well-structured questionnaire and personal interview schedule. Descriptive statistics and inferential statistics such as Ordinary Least Square (OLS) were used for the analysis of this study. The results found out that lack of discriminating pricing system, conflict in policy making, and high cost of inputs affect the market prices and as well serve as the main production risks that were observed by the farmers in the area. The average cost incurred for the production was about ₦6,908, while the total revenue accrued was ₦41,751. The gross margin and net farm income realized per production season were ₦36,973 and ₦34,843, respectively. The value (6.0) of return on investment showed that farmers realized times six of their investment. The variables such as household size, farm size, fertilizer application and equipment were the main determinants of vegetable production in the area. Also, the main challenges faced by the farmers were the infestation of pests and diseases, inadequate funds and climate change consequences. Therefore, it is recommended that the vegetable farmers should be encouraged through technical training on innovative approach to price determination and forming of functioning market structure in the area.

scholarly journals Effects of Multiple Risks on Farm Income and Willingness to Pay for Agricultural Insurance: A Case Study of the Greater Accra Region in Ghana

2016 ◽  
Vol 8 (6) ◽  
pp. 1
Author(s):  
Frederick Murdoch Quaye
Keyword(s):  
Risk Factors ◽  
Willingness To Pay ◽  
Significant Risk ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Insurance ◽  
Study Region ◽  
Multiple Risks ◽  
On Farm ◽  
Greater Accra Region

<p>This paper analyzes the determinants of farm income among farmers producing crops and animals in the Greater Accra Region of Ghana. It further estimates the willingness to pay for agricultural insurance by farmers. The farm income function was evaluated using a logarithmic function in which farm income is regressed as a function of determinants affecting it. The econometric results suggest that gender, education, farm size, farming experience, fertilizer usage and input cost all have a positive and statistically significant association with farm income. The results indicate that when investing in agriculture in the study region, weather hazards and pest and disease attacks are two important risk factors that need to be considered in the implementation of insurance policies since they have and statistically significant negative associations with farm income. The paper further observes that weather and pest/disease attacks are two significant risk factors that tend to influence farmers’ willingness to adopt and pay for agricultural insurance.</p>

scholarly journals Survey on farm practices of small-scale vegetable farmers in the Southern Philippines

2017 ◽  
pp. 1-21 ◽  
Author(s):  
Moises Neil Seriño ◽  
Glorybeth Castillo ◽  
Jessa Ruales
Keyword(s):  
Gender Roles ◽  
Crop Management ◽  
Farm Income ◽  
Small Scale ◽  
Vegetable Production ◽  
Farmer Field School ◽  
Integrated Crop Management ◽  
Vegetable Farmers ◽  
Field School ◽  
On Farm

This study aims to survey the farm practices of small scale vegetable farmers, evaluate gender roles in farming and assess the changes in farm income of farmers engaged in integrated crop management. The respondents of the study include randomly selected small-scale vegetable farmers trained under the farmer field school (FFS) in Bohol, Leyte and Samar. Randomly selected non-FFS farmers serve as control group. Information on farm practices between non-FFS and FFS respondents are used in determining the changes in farm outcomes. Results show that FFS and non-FFS farmers mostly planted eggplant, bitter gourd, beans, sweet pepper, pechay, squash, tomato and okra. The farm areas of surveyed respondents are mostly located around 10 kilometers away from their primary market with an approximate traveling time of half an hour. During the baseline survey, FFS farmers indicated that they are mostly unsatisfied with their current vegetable production in contrast to non-FFS farmers who expressed satisfaction with their current production. However, in the follow-up survey FFS group expressed relatively higher optimism than non-FFS group in terms of their vegetable production suggesting that the project interventions were able to encourage small scale farmers to incorporate necessary improvements in their practices. For gender roles in vegetable production, men are into labor intensive tasks while women focus mostly on record keeping and monitoring sales of vegetables. Lastly, employing the method of difference in difference shows that impact of farmer field school on integrated crop management increases vegetable farm income by around PHP4,300.00 per year per farm.

scholarly journals STUDY ON LIVELIHOOD DYNAMICS OF RURAL HOUSEHOLD OF MUNGELI DISTRICT OF CHHATTISGARH STATE INDIA

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Neha Dhruw ◽  
Ajay Tegar
Keyword(s):  
Crop Production ◽  
Rural Households ◽  
Total Sample ◽  
Rural Household ◽  
Retail Trade ◽  
Farm Size ◽  
Farm Income ◽  
Vegetable Production ◽  
Size Groups ◽  
The Government

The study was carried out to study the livelihood dynamics of rural household of Mungeli district of Chhattisgarh state. Two blocks namely Lormi and Mungeli were taken into consideration for the study. A total sample size of 89 farmers was made from 07 villages. The study finds that the largest participation of rural household was in the livelihood activities like agriculture (crop production) with 95.50 per cent and non-farm (construction) with 26.96 per cent. Agriculture and non-farm were identified as the main two sources of income for rural households. The participation in both the livelihood activities estimated 84.96 per cent and 12.39 per cent respectively. Crop production and horticulture (vegetable production) were the main contributors to the farm income of rural households their contribution being 62.67 per cent and 24.29 per cent. PersonalSocial services and whole sale-retail trade-small stall were the main contributors to the non-farm income of rural households their contribution being 16.99 per cent and 3.62 per cent. The degree of diversification was found to be greater with 0.56 per cent among the landless and those belonging to lower farm-size groups. Shortage of irrigation water leads to certain problems including lower yields, decrease cultivated area. Therefore, the government should form efficient and strong policies for the better management of available water resources, ensuring equal availability to every farmer.

scholarly journals Factors influencing the adoption of improved cultivars: a case of peach farmers in Pakistan

2018 ◽  
Vol 48 (11) ◽  
Author(s):  
Arif Ullah ◽  
Dilawar Khan ◽  
Shaofeng Zheng ◽  
Uzair Ali
Keyword(s):  
Financial Services ◽  
Choice Model ◽  
Positive Impact ◽  
Climatic Factors ◽  
Farm Size ◽  
Farm Income ◽  
Related Factors ◽  
Khyber Pakhtunkhwa ◽  
Factors Influencing ◽  
Improved Cultivars

ABSTRACT: This study aimed to investigate factors influencing the adoption of improved cultivars (ICs) in peach production in Khyber Pakhtunkhwa province of Pakistan. A total of 270 respondents were randomly selected from the three different cultivated areas of Khyber Pakhtunkhwa, namely, Peshawar, Nowshera and Swat. Binary choice model was used in this study to categorise the ICs of peach farmers into adoption and non-adoption. The study identifies that socio-economic, institutional farm resources, and climatic factors are influencing the adoption of ICs of peach production. Results of the estimated model reveal that farmer’s age, education, household size, membership, cell phone, farm size, extension services and the role of the non-government organization have a positive effect on adoption of ICs. In addition, farmer’s experience, off-farm income, livestock and machinery ownership, credit access and inputs prices have a positive and significant impact on ICs adoption. Moreover, results of the logit model demonstrate that climatic related factors have a highly significant and positive impact on the adoption of ICs. These results suggested that institutional services should be strengthened to provide managerial and technical skills on ICs technology adoption and on time provision of financial services to enhance the productivity of peach farmers.

scholarly journals Automatic Section Control Technologies and GPS Auto-guidance Systems Adoption in Cotton Production

2018 ◽  
Vol 10 (7) ◽  
pp. 282 ◽  
Author(s):  
Brittani Edge ◽  
Margarita Velandia ◽  
Christopher Boyer ◽  
James Larson ◽  
Dayton Lambert ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Farm Size ◽  
Cotton Production ◽  
Probit Regression ◽  
Field Geometry ◽  
Production Practices ◽  
Cotton Farmers ◽  
Using Data ◽  
Control Technologies ◽  
Automatic Section Control

Using data from a survey of cotton producers in 14 US states, and a bivariate probit regression, this study examined the effects of the following measured parameters on the adoption of Automatic Section Control (ASC) technologies and GPS Auto-Guidance (AG) systems: age, education, farm size, field geometry, information sources, as well as the use of specific production practices and other Precision Agriculture (PA) technologies. Results suggest that younger, more educated producers, consulting farm dealers for information about PA technologies, using other PA technologies, and managing larger farming operations located in counties with more irregularly shaped fields are more likely to adopt ASC technologies and AG systems. Predicted adoption probabilities estimated using regression results suggest the use of other PA technologies and farm dealers as a source of precision farming information have the largest impact on the probability of adopting ASC by cotton farmers. Additionally, these results suggest farmers with operations in eastern Arkansas, western Tennessee, and a couple of counties in middle Tennessee are more likely to adopt ASC technologies. Producers in these regions had the highest percentages of users of other PA technologies and farm dealers to obtain PA information.

scholarly journals Determinants of improved chickpea variety adoption in high barind region of Bangladesh

2020 ◽  
Vol 10 (1) ◽  
pp. 56-63
Author(s):  
SC Sharna ◽  
M Kamruzzaman ◽  
AR Anik
Keyword(s):  
Formal Education ◽  
Information Sources ◽  
Information Source ◽  
Farm Size ◽  
Farm Income ◽  
Farm Families ◽  
Adoption Decision ◽  
Adoption Level ◽  
Organization Membership ◽  
Adoption Intensity

Chickpea production in Bangladesh has been decreasing over time. Comprehensive farmlevel adoption of modern chickpea varieties can change the scenario. This paper endeavours to ascertain the determinants of adoption and adoption intensity of improved chickpea variety in the high barind region of Bangladesh. The outcomes from Cragg’s double hurdle model showed that organization membership, information sources, crop diversification index, and village location are the crucial factors that positively influenced both the adoption and adoption level. Farmers with organization membership are 15.5% more probable to adopt improved chickpea while by adding one more information source, the adoption probability can be increased by 6.3%. Meanwhile, women’s decisions, training, credit accessibility, and farm size have effects only in favour of initial adoption. The adoption probability is approximately 15% more in the household where women can participate in the decision-making process. Adopters with higher formal education, off-farm income, and mobile usage capability devote a greater proportion of their land to the improved variety cultivation. Strengthen of the network among farmers and their information sources should be emphasized to stimulate the diffusion process of the improved chickpea variety. Besides, training should be available for both female and male of the farm families since women also affect the adoption decision. Int. J. Agril. Res. Innov. Tech. 10(1): 56-63, June 2020

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