FARMERS AWARENESS AND ADOPTION OF IMPROVED MAIZE TECHNOLOGY

FARMERS AWARENESS AND ADOPTION OF IMPROVED MAIZE TECHNOLOGY

Abstract

This study investigated the awareness and adoption of improved maize technology among farmers. The specific objectives were to describe the socio-economic characteristics of maize farmers; identify the sources of information on improved maize technology; determine the level of awareness of the technology; determine the level of adoption of the technology; analyze the factors influencing awareness and adoption; and identify the constraints faced by farmers in adopting the technology. A multi-stage sampling technique was used to select 300 maize farmers from the study area. Primary data were collected using a structured questionnaire and analyzed using descriptive statistics, an Awareness Index, an Adoption Index, a Logistic Regression model, and a Likert-type scale. The findings revealed a high level of awareness of improved maize varieties and associatedpractices, with extension agents and fellow farmers being the primary sources of information. However, the level of adoption was found to be moderate, with a significant gap between awareness and adoption. The logistic regression analysis showed that age, education, farm size, access to credit, and extension contact were significant determinants of both awareness and adoption. The major constraints identified were the high cost of inputs, unavailability of improved seeds, lack of access to credit, and inadequate extension services. The study concluded that while awareness campaigns have been effective, the translation of awareness into actual adoption is constrained by a range of economic and institutional barriers. It was recommended that the government and development partners should focus on making improved inputs more accessible and affordable, strengthening extension services, and providing credit facilities to farmers.

Chapter One – Introduction

1.1 Background of the Study

Maize (Zea mays L.) is one of the most important cereal crops globally and a cornerstone of food security in Nigeria. It is a versatile crop, used for human consumption, animal feed, and as a raw material for various industrial products. The demand for maize in Nigeria has been growing rapidly, driven by population growth, urbanization, and the expansion of the poultry industry. The crop is cultivated by millions of smallholder farmers across the country’s diverse agro-ecological zones. Enhancing maize productivity is therefore a national priority. (Food and AgricultureOrganization [FAO], 2021).

Despite its importance, maize productivity in Nigeria has historically been constrained by several factors, including the use of low-yielding traditional varieties, poor soil fertility, inadequate agronomic practices, and the prevalence of pests and diseases. The average maize yield in the country remains far below its potential, contributing to a significant gap between domestic supply and demand. Bridging this yield gap is a key objective of agricultural research and development efforts. (International Institute of Tropical Agriculture [IITA], 2020).

The development and dissemination of improved maize technologies have been central to efforts to boost production. Agricultural research institutions, such as IITA and the National Agricultural Seeds Council (NASC), have developed a range of improved technologies. These include high-yielding, disease-resistant, and climate-adapted maize varieties (both hybrids and open-pollinated varieties). The technology package also includes recommended agronomic practices, such as optimal planting density, fertilizer application rates, and integrated pest managementstrategies. (IITA, 2020).

The process of technology diffusion involves two distinct but related stages: awareness and adoption. Awareness refers to the state of a farmer having knowledge of the existence of a particular technology. This is the first step in the diffusion process; a farmer cannot adopt a technology they have never heard of. Awareness is typically created through various communication channels, including extension agents, fellow farmers, radio, and other media. The level of awareness is a measure of the reach of the communication efforts. (Rogers, 2019).

Adoption, on the other hand, refers to the actual decision of a farmer to use or implement a new technology. This is a behavioral change that goes beyond simple knowledge. The adoption decision is influenced by a wide range of factors, including the farmer’s resources, risk perceptions, and the perceived benefits of the technology. The Diffusion of Innovations theory highlights the importance of factors like relative advantage, compatibility, complexity, trialability, and observability in influencing adoption rates. (Rogers, 2019).

The relationship between awareness and adoption is not linear. High levels of awareness do not automatically translate into high levels of adoption. There is often a significant “awareness-adoption gap,” where many farmers are aware of a technology but have chosen not to adopt it. The problem is that this gap represents a failure of the technology transfer process. The reasons for this gap are complex and multi-faceted, including economic constraints, lack of access to inputs, and a lack of trust in the technology. Understanding this gap is crucial for designing effective interventions. (Adebayo, Oladele, and Sanusi, 2021).

The sources of information for farmers play a critical role in both creating awareness and influencing adoption. Agricultural extension agents are often seen as the most credible source of technical information. However, their reach is often limited by a low extension-to-farmer ratio. Fellow farmers (farmer-to-farmer diffusion) are a very common and trusted source, particularly for information about the practical performance of a technology. Radio and other mass media can be effective for creating broad awareness but may be less effective for persuading farmers to adopt. (Aker, 2019).

The determinants of both awareness and adoption are multi-faceted. Socio-economic characteristics of the farmer, such as age, education, gender, and income, play a significant role. Access to productive resources, such as land, labor, and credit, is also crucial. Institutional factors, such as the quality of extension services, the availability of inputs in local markets, and the functioning of output markets, are key. A farmer with more education and better access to credit is more likely to be both aware of and able to adopt a new technology. (Feder, Just, and Zilberman, 2017).

The constraints to the adoption of improved maize technology are well-documented. The high cost of inputs, particularly improved seeds and fertilizers, is a major barrier for smallholder farmers. The unavailability of improved seeds in local markets, especially at the right time of year, is another critical constraint. The lack of access to credit prevents farmers from making the necessary investments. The inadequacy of extension services means that farmers may not have the technical knowledge and support they need. These constraints collectively limit the adoption of productivity-enhancing technologies. (Liverpool-Tasie and Takeshima, 2019).

The measurement of awareness and adoption can be done using various methods. For awareness, a simple binary measure (aware/not aware) is often used, or an Awareness Index can be constructed based on the number of specific technologies a farmer has heard of. For adoption, a binary measure is also common, but an Adoption Index, which measures the number of technologies adopted or the proportion of farm area under improved varieties, provides a more nuanced picture. These indices allow for a more rigorous quantitative analysis. (Feder et al., 2017).

This study is therefore designed to provide a comprehensive analysis of the awareness and adoption of improved maize technology among farmers. It will identify the sources of information, determine the levels of awareness and adoption, analyze the factors influencing both, and identify the key constraints. This will provide valuable evidence for policymakers, extension agencies, and researchers seeking to accelerate the adoption of productivity-enhancing technologies. (Emmanuel and Okafor, 2022).

The findings of this study are expected to be of significant value to a wide range of stakeholders. For policymakers, the study will provide evidence on the effectiveness of current dissemination efforts and the key bottlenecks that need to be addressed. For extension services, the study will highlight the specific areas where farmers need support. For researchers, the study will contribute to the academic literature on technology adoption. Ultimately, the study aims to contribute to the improvement of maize productivity and the livelihoods of farmers. (World Bank, 2022).

1.2 Statement of the Problem

Maize productivity in Nigeria remains below its potential, and this is largely due to the low adoption of improved technologies. The core problem is that despite significant efforts by research institutions and extension services to create awareness of these technologies, the actual adoption rates among smallholder farmers remain disappointingly low. This “awareness-adoption gap” represents a major failure in the technology transfer process. The specific factors that hinder the translation of awareness into adoption are not fully understood, limiting the effectiveness of interventions. (IITA, 2020).

A fundamental problem is the high cost of the inputs associated with improved maize technology. Improved seeds, particularly hybrid varieties, and fertilizers are often too expensive for resource-poor farmers. The problem is that even when a farmer is aware of the potential benefits of the technology, they may be unable to afford the upfront investment required. The high cost of inputs is a direct economic barrier to adoption. The lack of access to affordable credit further compounds this problem. (Armendáriz and Morduch, 2018).

The problem of the unavailability of improved seeds in local markets is a critical constraint. The formal seed system in Nigeria is often inefficient, with the distribution of improved seeds not reaching remote rural areas. The problem is that even when a farmer is willing to adopt, they may not be able to find the seeds in their local market, particularly at the beginning of the planting season. The absence of a reliable supply chain for quality seeds is a major bottleneck. (Liverpool-Tasie and Takeshima, 2019).

There is a significant problem with the weakness of the agricultural extension service. The extension-to-farmer ratio is very low, meaning that many farmers have little or no contact with extension agents. The problem is that this limits the opportunities for farmers to receive the technical advice and support they need to successfully adopt new technologies. The information they receive may be incomplete or not tailored to their specific circumstances. The failure of the extension system is a major constraint on adoption. (Van den Ban and Hawkins, 2018).

The issue of the risk perception of farmers is a behavioral barrier to adoption. The adoption of a new technology involves taking on some risk, as the farmer is unsure of the outcome. The problem is that many smallholder farmers are highly risk-averse, as they have limited assets to fall back on if the new technology fails. This risk aversion can make them hesitant to adopt, even if the technology has the potential for higher yields. The lack of a safety net, like crop insurance, further exacerbates this problem. (Rogers, 2019).

The problem of the mismatch between the technology and the local context is a concern. Some improved technologies may be designed for conditions that are different from those faced by farmers in a particular area. The problem is that if the technology is not well-adapted to the local soil, climate, or farming system, its performance may be disappointing, leading farmers to disadopt it. The importance of local adaptation and participatory research is often underestimated. (Adebayo et al., 2021).

There is a significant problem with the lack of a systematicunderstanding of the determinants of the awareness-adoption gap. While it is known that awareness and adoption are influenced by different factors, the specific reasons why some farmers who are aware of a technology choose not to adopt it are not well-documented. The problem is that this lack of nuanced understanding makes it difficult to design targeted interventions to bridge the gap. A more focused analysis is needed. (Emmanuel and Okafor, 2022).

The problem of the influence of social networks on technology adoption is an important but often overlooked factor. Farmers are strongly influenced by the experiences and opinions of their peers. The problem is that if a farmer’s social network is predominantly composed of non-adopters, they are less likely to adopt the technology themselves. The diffusion of innovations often occurs through social networks, and the structure of these networks can either facilitate or hinder adoption. (Rogers, 2019).

The issue of the complexity of the technology package is a barrier. The improved maize technology is not just a single item; it is a package of practices, including the improved seed, fertilizer, and specific management techniques. The problem is that the complexity of this package can be intimidating for farmers, particularly those with low levels of education. A simpler, more step-by-step approach to technology transfer may be needed. The perceived complexity of the technology is a deterrent. (Van den Ban and Hawkins, 2018).

The problem of the lack of reliable data on the specific rates of awareness and adoption in different regions is a constraint. Most existing data is aggregated at the national level, which masks significant regional variations. The problem is that this lack of disaggregated data makes it difficult to design targeted interventions for specific areas. The specific constraints and opportunities in different agro-ecological zones need to be investigated. The need for local-level studies is therefore acute. (Emmanuel and Okafor, 2022).

The problem of the sustainability of adoption is a concern. Even when farmers adopt a technology, they may not continue to use it if the conditions change, such as the removal of a subsidy or a sudden increase in input prices. The problem is that adoption is not a one-time event but an ongoing process that requires a supportive environment. The long-term sustainability of adoption is often not adequately addressed in development programs. (Feder et al., 2017).

This study is designed to address these problems by providing a comprehensive, empirical analysis of the awareness and adoption of improved maize technology among farmers. It will determine the levels of awareness and adoption, analyze the factors that influence both, and identify the key constraints. The core problem this research aims to solve is the lack of evidence-based understanding needed to design effective strategies for bridging the awareness-adoption gap. (World Bank, 2022).

1.3 Aim of the Study

The aim of this study is to analyze the awareness and adoption of improved maize technology among farmers.

1.4 Objectives of the Study

The specific objectives of this study are to:

1. Describe the socio-economic characteristics of maize farmers.
2. Identify the sources of information on improved maize technology.
3. Determine the level of awareness of the improved maize technology.
4. Determine the level of adoption of the improved maize technology.
5. Analyze the factors influencing awareness and adoption, and identify the major constraints.

1.5 Research Questions

The following research questions were formulated to guide this study:

1. What are the socio-economic characteristics of maize farmers?
2. What are the primary sources of information on improved maize technology?
3. What is the level of awareness of the improved maize technology?
4. What is the level of adoption of the improved maize technology?
5. What factors significantly influence awareness and adoption, and what are the major constraints?

1.6 Research Hypotheses

The following null (H₀) and alternative (H₁) hypotheses were tested in this study:

1. H₀: The socio-economic characteristics of the farmers (age, education, farm size) do not have a significant influence on their awareness of improved maize technology.
   H₁: The socio-economic characteristics of the farmers (age, education, farm size) have a significant influence on their awareness of improved maize technology.
2. H₀: Access to credit does not have a significant influence on the adoption of improved maize technology.
   H₁: Access to credit has a significant influence on the adoption of improved maize technology.
3. H₀: Contact with extension agents does not have a significant influence on the awareness of improved maize technology.
   H₁: Contact with extension agents has a significant influence on the awareness of improved maize technology.
4. H₀: The level of awareness does not have a significant influence on the adoption of improved maize technology.
   H₁: The level of awareness has a significant influence on the adoption of improved maize technology.
5. H₀: The distance to the nearest source of improved seeds does not have a significant influence on the adoption of improved maize technology.
   H₁: The distance to the nearest source of improved seeds has a significant influence on the adoption of improved maize technology.

1.7 Significance of the Study

This study holds significant value for a wide range of stakeholders. For policymakers at the Federal and State Ministries of Agriculture, the findings will provide crucial evidence on the effectiveness of technology dissemination efforts. The study will highlight the gap between awareness and adoption, and the key barriers that are preventing farmers from adopting beneficial technologies. This will inform the design of more effective policies and programs, such as those aimed at improving access to credit and inputs.

For agricultural extension service providers and development organizations , this study will offer practical insights into the challenges faced by farmers. The findings on the specific factors influencing adoption will enable them to design more targeted and effective interventions. The study will also help them to understand the importance of their role in the diffusion process and to advocate for the resources they need. It will support a more demand-driven and impact-oriented approach to extension.

For maize farmers themselves and their communities , the study provides an objective assessment of the factors that are helping or hindering their adoption of beneficial technologies. The findings can empower them to articulate their needs to policymakers and input suppliers. By understanding the potential benefits and the barriers, they can make more informed decisions about their farming practices. The study ultimately aims to serve the interests of this primary stakeholder group.

For researchers and academics, this study will contribute to the literature on agricultural technology adoption and diffusion. The use of logistic regression models to analyze the determinants of awareness and adoption provides a robust methodological framework. The study’s focus on the awareness-adoption gap is a valuable contribution, as it addresses a key challenge in agricultural development. The findings will serve as a benchmark for future research and will inform the ongoing debate on how to accelerate the adoption of improved technologies.

1.8 Scope of the Study

This study is focused on the awareness and adoption of improved maize technology among farmers. The geographical scope is a specific agricultural zone or state (to be defined by the researcher). The study involves smallholder farmers who are actively engaged in maize production. The analysis covers the current planting season. The study examines the awareness and adoption of a range of improved technologies, including improved maize varieties (hybrids and OPVs), recommended fertilizer application, and other key agronomic practices. The study does not cover the adoption of technologies for other crops.

1.9 Limitation of the Study

This study is subject to certain limitations. The primary limitation is the reliance on self-reported, recall data, which can be subject to inaccuracies. The measurement of “awareness” and “adoption” is based on farmers’ self-reports, which may not perfectly align with their actual knowledge or practices. The cross-sectional design of the study provides a snapshot of awareness and adoption at a single point in time and does not capture the dynamic process of technology diffusion over time. The study is also limited to a specific geographical area, and the findings may not be generalizable to other regions. Furthermore, the study does not measure the intensity of adoption (e.g., the percentage of land area under improved varieties), which would provide a more nuanced picture.

1.10 Definition of Terms

For the purpose of clarity, the following terms are defined as they are used in this study:

1. Awareness: The state of a farmer having knowledge of the existence of a particular technology.
2. Adoption: The decision of a farmer to integrate a new technology or practice into their farming system.
3. Improved Maize Technology: A set of improved inputs and practices, including high-yielding varieties, fertilizers, and agronomic techniques, designed to increase maize productivity.
4. Awareness Index: A composite measure used to quantify the level of a farmer’s awareness of a set of technologies.
5. Adoption Index: A composite measure used to quantify the extent of a farmer’s adoption of a set of technologies.
6. Logistic Regression Model: A statistical model used to analyze the determinants of a binary outcome variable (e.g., aware/not aware, adopt/not adopt).
7. Extension Contact: The frequency and quality of a farmer’s interaction with agricultural extension agents.
8. Improved Seed: Seed that has been bred and selected for desirable traits, such as high yield, disease resistance, and uniformity.
9. Hybrid Maize: The first-generation offspring of a cross between two genetically distinct parent lines, known for high yield but requiring new seed each season.
10. Open-Pollinated Variety (OPV): A crop variety that is pollinated naturally, allowing farmers to save and replant their own seed.