Wealth Status and Improved Rice Varieties Adoption Among Smallholder Farmers in Nigeria


Book Description

Due to the high cost and risk associated with adoption, the wealth of a household may be an important factor in the decision to adopt Improved Rice Varieties (IRVs) in Nigeria. This study assessed the role of household wealth in IRVS adoption. The study employed the Principal Component Analysis (PCA) to generate the wealth index which was used to partition the respondents into wealthy and non-wealthy households. The logit and the Tobit models were adopted to assess the determinants and intensity of adoption of IRVs among 600 randomly selected smallholder rice farmers from the three major rice producing ecologies in Nigeria. Data were collected using well-structured questionnaire. Results indicated that factors determining the adoption and intensity of adoption of IRVs varied between the wealthy and non-wealthy households. Farmers organization, access to credit, access to seed, education, wealth index, contact with extension agents were some of the variables that had positive and significant influence on the farmers decision to adopt IRVs. Farm size, wealth and income positively and significant affected the intensity of adoption. The cost off seed had negative and significant effect on both the decision to adopt and the intensity of adoption. Hence, if the desired adoption rate and intensity of adoption of IRVs is to be achieved, it is important to embark on wealth group specific policies, adopt programs and policies that can lead to improvement in wealth and households income, encourage formation of farmers' organization and ensure the price of IRV seeds are affordable to the rural farmers.




Wealth Status and Agricultural Technology Adoption Among Smallholder Rice Farmers in Nigeria


Book Description

The adoption of agricultural technologies is a necessary condition for the achievement of agricultural productivity increase and poverty eradication among the farming households in Nigeria. The role of households' Wealth status in agricultural technologies adoption in Nigeria has not been well documented. Hence this study assessed the effect of smallholder rice farming households' wealth status in the adoption of improved rice varieties. The data were collected using a multistage random sampling technique. Osun, Niger and Kano states were selected to represent -upland, lowland and irrigated rice growing systems, respectively. Five major rice-producing Local Government Areas (LGAs) were selected from each state, followed by the selection of three villages from each LGA. In all, 600 rice farmers were selected on the basis of probability proportionate to the population of rice farmers in the villages. Data were collected using a structured questionnaire. Data were analyzed using descriptive statistics, Logistic regression and Tobit model. The results revealed that there was variation in the rates and intensity of adoption of improved rice varieties among the wealth groups. Overall, a larger percentage of the well-endowed farmers have adopted at least one improved varieties in the last five years, while majority of those that were less- endowed find it difficult to adopt any improved variety and were mainly cultivating the traditional varieties. The probability of adoption of improved rice varieties was significantly affected by education of household's head, age, household size, income and household endowments. Hence, policies that will lead to improvement in household wealth should be vigorously pursued in order to increase the rate of improved rice varieties adoption and generate the much desired increase in rice productivity in Nigeria.




Estimating financing gaps in rice production in southwestern Nigeria


Book Description

This study analyzed the financing gaps relative to production frontier of rice farmers in Southwestern Nigeria. A multistage sampling technique was used to collect cross sectional data from 360 rice farmers selected from three States in the region. A Cobb-Douglas stochastic frontier and an adapted form of Harrod-Domar (HD) Growth model was employed to determine the financing gap required for the farmers to be at the frontier level. The empirical results of the frontier model show that quantity of labor, quantity of rice as planting material and herbicides were statistically significant in explaining the variations in the efficiency of rice production in Nigeria. However, age, gender, farming experience, household size, access to credit, access to information, adoption of improved variety and location of rice farmers as sources of technical inefficiencies. As revealed by the result of the HD growth model, the average amount of credit per season that farmers had access to was, ₦38,630.56 while the mean financing in the form of credit required to produce at the frontier level was ₦193,626.50, showing a financing shortfall of about 80%. As unravelled by the result of the study, it can thus be concluded that technical efficiency of rice farmers can be improved by improving access to timely credit and agricultural information for improving rice productivity. These findings suggest that filling the financing gap of smallholder rice farmers will improve rice productivity in Nigeria. The study, therefore, recommends that strengthening the existing technology by building farmers’ capacity on farm management practices would be surest means of improving rice productivity growth in Nigeria. This would not only contribute to the intensification of rice production in Nigeria to meet its increasing rice demand, but also improve rice farmers’ productivity and their households’ incomes.







Factors Influencing the Use of Good Quality Improved Rice Seed in Nigeria


Book Description

Good quality seed has the potential to generate increase in rice yield and make Nigeria self-sufficient in rice production. However, farmers' access to this seed is a function of many factors that has not been well documented in Nigeria. This study identified some factors that influenced the probability and intensity of adoption of improved rice variety in Nigeria, using double hurdle model. A multistage random sampling procedure was employed to select 600 rice farming households across the three prominent rice producing ecologies in Nigeria. The results that emanated from the analyses showed that age, secondary activity, cost of seed, distance to the nearest seed source negatively and significantly influenced the probability of a farmer adopting at least one improved rice variety in the study area and the intensity of adoption. While household size, membership of organization, house ownership, income from other crop production and experience in lowland rice production positively and significantly influenced both. The result of the marginal effects also showed that an additional increase in income from other crop production increases the probability of adoption by 25.0 per cent and intensity of adoption by 39.0 per cent. While an additional year to the age of the farmer reduces the area cultivated to improved rice varieties by 1.6 per cent. Therefore to achieve a sustainable increase in rice production, adoption enhancing information should be targeted at the younger farmers. Also farmers should be encouraged to diversity crop production to boost household income. Finally, improved rice seed varieties should be made available within the rural areas at an affordable cost.




Rice Productivity and Food Security in India


Book Description

This book contributes to the adoption of agricultural technology in general and to literature on the System of Rice Intensification (SRI) in particular by identifying the factors that influence the decision to adopt SRI and examining SRI’s impact on household income and yield. The study also discusses the importance of SRI in achieving higher rice productivity and food security. Conducted on behalf of the Government of India’s Ministry of Agriculture from October 2014 to March 2016, the study collected detailed and extensive household-level data. As the second largest producer and consumer, India plays an important role in the global rice economy. Food security in India has been traditionally defined as having a sufficient supply of rice at an affordable price. However, in recent years rice cultivation in India has suffered from several interrelated problems. Increased yields achieved during the green revolution period and with the help of input-intensive methods involving high water and fertiliser use are now showing signs of stagnation and concomitant environmental problems due to salinisation and waterlogging of fields. Water resources are also limited; as such, water for irrigation must contend with increasing industrial and urban needs. As a result of all these factors, rice farmers have experienced a downturn in productivity growth. Since increasing the area of rice cultivation is not feasible, the additional production has to be achieved using less land, less water and fewer additional inputs. The new intensification methods for rice cultivation known as the System of Rice Intensification (SRI), which originated in Madagascar, offer a promising systemic approach to enhancing rice production at affordable costs by simultaneously reducing input requirements and causing less harm to the environment. The SRI approach is expected to enhance yield and substantially reduce water and other input requirements by altering plant, soil, water and nutrient management practices. With SRI taking firm root in India, the book examines and analyses the adoption and the economic impact of SRI in three major rice producing States of India: Karnataka, Madhya Pradesh and Orissa.







Small-Scale Farming, Agricultural Productivity and Poverty Reduction in Nigeria


Book Description

Existing literature affirms the importance of agricultural technology adoption on productivity, income and livelihood outcomes. Evidences subsists on the adoption of improved cassava varieties (ICVs) in Nigeria but little is known about its impact among the farmers. We used data from a survey conducted by International Institute of Tropical Agriculture (IITA) to explore this research gap. Propensity Score Matching and Heckman's two-stage model were the analytical tools. Given an estimated poverty line of (₦21717.53); 52.0% of the farmers were poor. We found that 75.6% of the respondents are adopters of ICVs. Primary occupation of household head and total non-production asset of farmers were key determinants for adoption. Adoption of improved cassava variety has positive effect on farmers' productivity and poverty reduction. The Average Treatment Effect on the Treated (ATT) for productivity increased by 70 percent among ICVs farmers. Income was also higher among the adopters than the non- adopters by ₦43463.77. In the same vein, the income of the adopters increased by 17%. Furthermore, adopters of ICVs have the probability of reducing poverty headcount by 20%. The empirical results suggest that improved agricultural innovation adoption can play a key role in strengthening and impacting agricultural productivity of smallholder farmers for increased income generation and food security.




Farming Systems and Poverty


Book Description

A joint FAO and World Bank study which shows how the farming systems approach can be used to identify priorities for the reduction of hunger and poverty in the main farming systems of the six major developing regions of the world.