scholarly journals Factors influencing adoption of improved cultivars of macadamia (Macadamia spp.) among small-scale farmers in Embu County, Kenya

2021 ◽  
Vol 25 (4) ◽  
Author(s):  
Moses Muchangi Njiru ◽  
Hezron Ruzungu Mogaka ◽  
Samuel Njiiri Ndirangu ◽  
Bernard Mukiri Gichimu
Keyword(s):  
Negative Influence ◽  
Positive Influence ◽  
Sampling Procedure ◽  
Farm Size ◽  
Small Scale ◽  
Factors Influencing ◽  
Improved Cultivars ◽  
Small Scale Farmers ◽  
Multistage Sampling ◽  
Market Distance

The study investigated the factors influencing adoption of improved cultivars of macadamia (Macadamia spp.) among small-scale farmers in Embu County, Kenya. Data was collected from a sample of 384 small-scale farmers obtained through multistage sampling procedure in ten sub-locations. Binary Logit model was used to determine the effect of selected institutional and socio-economic factors on adoption of improved cultivars of macadamia. The results revealed that education level (wald=26.160), access to extension services (wald=6.246) and farm size (wald=4.271) had significant positive influence on adoption of improved cultivars of macadamia while age of the farmer (wald=5.235) and market distance (wald=5.519) had a negative influence on the same. There is need to encourage the youth to embrace macadamia farming and to develop smart marketing strategies to promote adoption of improved cultivars.

scholarly journals Economics and Technical Efficiency of Maize Production Among Small Scale Farmers in Abuja, Nigeria: Stochastic Frontier Model Approach

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
E. S. Ebukiba ◽  
L. Anthony ◽  
S. M. Adamu
Keyword(s):  
Stochastic Frontier ◽  
Farm Size ◽  
Small Scale ◽  
Stochastic Frontier Model ◽  
Gross Margin ◽  
Maize Production ◽  
Factors Influencing ◽  
The Mean ◽  
Small Scale Farmers ◽  
Model Approach

This study evaluated Economics and Technical Efficiency of Maize Production Among Small Scale Farmers in Abuja, Nigeria; Stochastic Frontier Model Approach; Multi-stage sampling technique was adopted and used. Primary data were collected through the use of well-structured questionnaire from one hundred and fifty (150) sampled respondents in the study area. Data were analyzed to achieve the specified objectives using the following tools of analysis, Descriptive Statistics, Stochastic Frontier, Gross Margin Analysis, Financial Analysis, Five Point Likert Scale, and Principal Components Analysis. The results show that majority 40.47% of the sampled respondents were among the age range of 41-50 years of age and 25.33% were within the age bracket of 31-40 years of age. The mean age of the sampled farmers is 44 years. Which indicated that Young and energetic farmers are able to withstand stress and adopt new innovations. Most 88.67% of the farmers were male. Majority 72.67% were married. The mean household size of the sampled respondents is 6 members per family. Majority (67%) of the small-scale maize farmers had 1-2 ha of land and the average farm size cultivated by the farmers was 2.576 ha. The factors influencing total output of maize were seed input (P<0.01), Farm Size (P<0.05), quantity of fertilizer (P<0.05), and labour input (P<0.01) were statistically significant variables. The results of the inefficiency components show that the factors influencing technical inefficiency includes: age (P<0.01), education (P<0.01), access to credit (P<0.05), farming experience, and household size (P<0.05) and were statistically significant. The total revenue realized by the sampled small-scale maize farmers was N238,317 on average. While the total variable costs on average basis was N109,702.93. The gross margin realized was N128667.07. The gross margin ratio was 0.54 while operating ratio calculated was 0.857 and the rate of return on investment (RORI) was 1.17. The retained component from the constraint’s analysis include Lack of Improve Seed, Lack of Transportation, Poor Storage Facilities, Inadequate Capital, and Cattle Herdsmen. The retained components explained 60% of the variation of the component included in the model. The study therefore, recommends that affordable loans and adequate capital should be made available to the small-scale maize farmers, farmers should be properly trained and educated by the non-governmental organizations and extension agents on chemical application, fertilizer use and pests and diseases control measures especially on integrated pest management (IPM). Inputs like improve seeds, fertilizer, and chemicals should be made available to farmers at subsidized rates and at appropriate time coinciding with production periods for proper usage. Provisions should be made for transportation and storage facilities for farmers, the issue of conflict between farmers and herdsmen should be brought to book and resolved amicably for peaceful coexistence.

scholarly journals Food Insecurity among Small-Scale Farmers in Poland

Agriculture ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 295 ◽  
Author(s):  
Agnieszka Poczta-Wajda ◽  
Agnieszka Sapa ◽  
Sebastian Stępień ◽  
Michał Borychowski
Keyword(s):  
Food Insecurity ◽  
Developed Countries ◽  
Negative Influence ◽  
Positive Influence ◽  
Vulnerable Groups ◽  
Small Scale ◽  
Household Level ◽  
Production Type ◽  
Socially Vulnerable Groups ◽  
Small Scale Farmers

The problem of food insecurity is generally associated with developing countries, but at the household level it also occurs in developed countries, especially in socially vulnerable groups, such as small-scale farms. However, the issue of food insecurity in developed countries, especially at the household level, is rather neglected in the scientific literature. This study was conducted to fill this gap and examine the level of food insecurity among small-scale farms in Poland. Data were collected using a structured questionnaire from 710 small-scale farms in Poland. The incidence and degree of food insecurity was measured with the Household Food Insecurity Access Scale (HFIAS). The study found that about 43% of the respondents were exposed to food insecurity, including almost 9% to severe food insecurity, which is well above the average for the entire Polish population. By applying cross-tabulation and the zero-inflated Poisson regression model, the study found that the higher age and secondary or higher education of the farm manager, having children in the household and higher land productivity have a statistically significant negative influence on households’ food insecurity (i.e., decreased HFIAS score). On the contrary, family size of five or more and production type “permanent crops” and “dairy cows” have a statistically significant positive influence on households’ food insecurity (i.e., increased HFIAS score).

scholarly journals Adoption of Water Conservation Technologies among Small Scale Farmers in Lwengo District – Uganda

2019 ◽  
Vol 1 (1) ◽  
pp. 84-96
Author(s):  
Nabalegwa Muhamud Wambede ◽  
Joyfred Asaba ◽  
Othieno Esther Ebifa ◽  
Nabatta Claire
Keyword(s):  
Water Conservation ◽  
Survey Design ◽  
Multiple Correspondence Analysis ◽  
Negative Influence ◽  
Farm Size ◽  
Systematic Sampling ◽  
Small Scale ◽  
Cross Sectional ◽  
Small Scale Farmers ◽  
Conservation Technologies

This study identified and characterised the dominant water conservation technologies (WCT) employed by small scale farmers in Malongo and Kyazanga sub-counties in Lwengo district. It employed a cross sectional household survey design, using systematic sampling to obtain 380 household samples. A quantitative analysis, Multiple Correspondence Analysis (MCA) and Logit regression model were used to analyse these data to identify and characterise the dominant WCT and establish the most significant factor affecting the adoption of the technologies. Results indicated that mulching was the most dominant WCT employed, followed by Valley dams/reservoirs, terracing, tied ridges, deep tillage and infiltration pits. The Logit model indicated that out of seven factors, five had a significant positive influence namely: access to credit (1.3); farm slope location (0.7); farm size (0.4); access to agricultural inputs and investment subsidies (0.4); and level of income (0.2). One factor had a significant negative influence (engagement in other economic activities/off-farm employment activities) and only one was found to be insignificant (access to market). It is recommended that the significant water conservation techniques be upscaled, and that emphasis also be placed on the most significant factors in order to strengthen the adoption of water conservation in the area.

scholarly journals Factors Influencing Adoption and Area under Conservation Agriculture: A Mixed Methods Approach

2012 ◽  
Vol 1 (2) ◽  
pp. 27 ◽  
Author(s):  
Progress H. Nyanga
Keyword(s):  
Mixed Methods ◽  
Smallholder Farmers ◽  
Conservation Agriculture ◽  
Negative Influence ◽  
Positive Influence ◽  
Research Strategy ◽  
Farm Size ◽  
Mixed Methods Approach ◽  
Qualitative Approaches ◽  
Factors Influencing

<p>Adoption of conservation agriculture (CA) is quite low in most parts of Africa. However, Zambia has been quite successful in increasing adoption of CA among smallholder farmers. Few studies using both quantitative and qualitative approaches have been conducted in Zambia to determine factors influencing adoption of CA. This study uses mixed methods approach to document factors influencing adoption of CA among smallholder farmers under the Conservation Agriculture Project (CAP) in Zambia. From a random sample of 415 smallholder farmers, results showed that 71% had adopted CA. Quantitative analysis indicated that CA trainings, previous experience in minimum tillage, membership in farmer organisations, and ownership of CA tillage equipment significantly increased the likelihood of CA adoption. Number of CA trainings attended, farm size, number of rippers owned and use of herbicide had a significant positive influence on area under CA. Qualitative approaches showed that good rapport with farmers, trust, reciprocity and altruism, monitoring and evaluations, extension strategy, quality and extent of technical knowledge in CA within CFU, and artificial incentives positively influenced adoption of CA. Traditional leadership was reported to enhance adoption of CA in most cases. Prestige was reported to withhold some men from adopting CA basins. Women were very involved in CA basins while men were mostly involved in ADP ripping. Some worldviews of farmers had negative influence on adoption of CA. Donor support and collaboration with the Zambia National Farmers Union and private sector were other contextual factors for the high adoption of CA among sampled smallholder farmers. In the promotion of CA it is important to pay attention to both quantitative and qualitative factors influencing adoption. A mixed methods approach thus can lead to a better understanding of the adoption of CA than a single research strategy approach.</p>

scholarly journals Farmers income and savings pattern in Benue State, Nigeria

2020 ◽  
Vol 24 (1) ◽  
pp. 128-137
Author(s):  
Ngozi Ekunyi Odoh ◽  
Simon Uguru Nwibo ◽  
Anayochukwu Victor Eze ◽  
Esther Onyinyichi Igwe
Keyword(s):  
Crop Production ◽  
Forest Products ◽  
Positive Influence ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Formal Sector ◽  
Access To Credit ◽  
Small Scale Farmers ◽  
Sampling Procedures

The study analysed farmers’ income and savings pattern in Benue State. Both multi-stage random and purposive sampling procedures were employed to select 140 respondents for the study. The study employed primary data which were collected through the use of the structured questionnaire. The result showed that farm size, level of access to credit, diversification of income sources, types of investment and risks inherent in the business are the major determinants of the income level of the small scale farmers. The farmers engaged in the following farm activities, crop production, hunting, fishing, gathering of forest products, marketing of agricultural products and livestock production. Meanwhile, trading, teaching, and non-farm wage labour were the main non-farm activities they engaged in. The result equally showed that farmers adopted both formal and informal savings methods but have higher preference for the informal method as indicated by their preference for savings in rotational savings and credit Association (ESUSU) and daily contribution schemes. Educational attainment, annual income, farming experience, and farm size had positive influence on the farmers’ savings pattern. The test of the hypothesis indicated that the socio-economic characteristics of the small scale farmers have significant effects on the savings pattern adopted in the area. Consequently, the study recommended the establishment of banks in the rural area so as to increase farmers’ savings capacity in formal sector; establishment of enlightenment programme to create awareness among the rural farmers, and introduction of risk reduction policy to minimize risks associated with farming, thereby encouraging farmers to remain in farming business.Keywords: Farm activities, non-farm activities, farmers, formal and informal savings

scholarly journals Farm Size, Risk Aversion and Overuse of Fertilizer: The Heterogeneity of Large-Scale and Small-Scale Wheat Farmers in Northern China

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 111
Author(s):  
Haixia Wu ◽  
Hantao Hao ◽  
Hongzhen Lei ◽  
Yan Ge ◽  
Hengtong Shi ◽  
...  
Keyword(s):  
Risk Aversion ◽  
Large Scale ◽  
Northern China ◽  
Fertilizer Application ◽  
Chemical Fertilizer ◽  
Farm Size ◽  
Small Scale ◽  
Fertilizer Use ◽  
Deviation Degree ◽  
Small Scale Farmers

The excessive use of fertilizer has resulted in serious environmental degradation and a high health cost in China. Understanding the reasons for the overuse of fertilizer is critical to the sustainable development of Chinese agriculture, and large-scale operation is considered as one of the measures to deal with the excessive fertilizer use. Under the premise of fully considering the resource endowment and heterogeneity of large-scale farmers and small-scale farmers in production and management, different production decision-making frameworks were constructed. Based on the 300 large-scale farmers and 480 small-scale farmers in eight provinces of northern China wheat region, we analyzed the optimal fertilizer use amount and its deviation as well as the influencing factors of small-scale and large-scale farmers, then further clarified whether the development of scale management could solve the problem of excessive fertilizer use. The empirical results show that: (1) both small-scale farmers and large-scale farmers deviated from the optimal fertilizer application amount, where the deviation degree of optimal fertilizer application of small-scale farmers is significantly higher than that of large-scale farmers, with a deviation degree of 35.43% and 23.69% for small and large scale farmers, respectively; (2) not all wheat growers in North China had the problem of excessive use of chemical fertilizer, as the optimal level of chemical fertilizer application in Heilongjiang and Inner Mongolia are 346.5 kgha−1 and 335.25 kgha−1, while the actual fertilizer use amount was 337.2 kgha−1 and 324.6 kgha−1, respectively; and (3) the higher the risk aversion level, farmers tended to apply more fertilizer to ensure grain output. Therefore, increasing farm size should be integrated into actions such as improving technological innovation and providing better information transfer to achieve the goal of zero-increase in Chinese fertilizer use.

Growth Analysis and the Determinants of Entrepreneurial Orientation in the Small-Scale Poultry Subsector in Delta State, Nigeria

2020 ◽  
Vol 10 (4) ◽  
pp. 764-772
Author(s):  
Roli Juliet Egbe ◽  
Achoja Roland Onomu ◽  
Pius Chinwuba Ike ◽  
Isiorhovoja Rodney Akpoviri
Keyword(s):  
Entrepreneurial Orientation ◽  
Sampling Procedure ◽  
Primary Data ◽  
Small Scale ◽  
Growth Trend ◽  
Stock Size ◽  
Lag Model ◽  
Multistage Sampling ◽  
Gross Margins ◽  
Poultry Farming

Entrepreneurial orientation is vital to growth and development, but lacking in many small-scale enterprises. This study investigated growth and entrepreneurial orientation in the small-scale poultry subsector of Delta State, Nigeria. It also ascertained the drivers of poultry entrepreneurial orientation in the study area. A multistage sampling procedure was used to collect primary data from 180 poultry farmers, through a questionnaire. A four-point Likert scale of five items was used to measure entrepreneurial orientation from innovativeness, proactiveness, and risk-taking. The data were analyzed using descriptive and inferential statistics, including gross margins, an autoregressive lag model, and logistic regression. The majority (57.7%) of the farmers are female. The small-scale poultry entrepreneurs had an orientation that was above average. The autoregressive lag model result indicated an increase in stock size and gross margins of poultry enterprises. It was forecast that the growth trend would increase up to 2022. Furthermore, the ANOVA result was statistically significant at 0.002*** and 0.001*** for stock size and gross margins, respectively. Years of experience and training in poultry farming and noninvolvement of entrepreneurs in other occupations influence their entrepreneurial orientation. Poultriy entrepreneurs must be trained while they adopt poultry farming as their principal occupation.

scholarly journals Are There Road Blocks to Access Micro-Credit From Selected Microfinance Banks in Delta State, Nigeria? Implications for Small Scale Farmers Sustainability!

2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Gbigbi Theophilus Miebi
Keyword(s):  
Sex Education ◽  
Logit Model ◽  
Sampling Technique ◽  
Farm Size ◽  
Small Scale ◽  
Cash Balance ◽  
Socioeconomic Characteristics ◽  
Cooperative Society ◽  
Multi Stage ◽  
Small Scale Farmers

The study was carried out to investigate the factors that affect small scale farmers to access fund and utilized for greater efficiency in production in Delta State, Nigeria. The logit model was used to analyze the data. A multi-stage random sampling technique was used for the study. Charts were used to analyze the socioeconomic characteristics of the farmers. About 120 farmers were interviewed using pretested questionnaire. The study showed that sex, education, farm size, cash balance, collateral, frequency of transaction and membership of cooperative society were positive and significant at 1%, 5% and 10% probability levels respectively. The coefficient of age, interest rate, household size and distance were negative and significant at 10% and 5% levels. The results of the study call for policies aimed at encouraging microfinance banks to consider the farmers in accessing credit to increase their output, income and productivity in the study area.

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