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Research article · 2024 · Full text

International Journal of Agriculture Extension and Social Development

Socio-demographic and agricultural challenges in maize production and credit facility: A study in Kavango East, Namibia

Cecilie N. JonaMartin AngulaMaruis Hausiku

Volume 7(2) · Pages 01–06 · DOI: 10.33545/26180723.2024.v7.i2a.285 ↗

Research areasAgricultural Innovations and Practices

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Abstract

Author-written

This study explores the socio-demographic and agricultural challenges affecting maize production in Namibia's Kavango East region, highlighting the importance of this issue for local food security and economic stability. The research gap identified centres on the need for in-depth analysis of these challenges to devise effective strategies for improvement. The paper aims to assess these challenges and suggest feasible interventions. Employing quantitative methods and an exploratory survey of small-scale maize farmers, the study finds that issues such as crop diseases, weed and insect problems, and the lack of quality inputs and technology are significant barriers. The most crucial result is the identification of strategies such as the use of certified seeds, high-quality fertilizers, and enhanced extension services that can potentially boost maize production. The takeaway message emphasizes the critical role of tailored policy and support systems in addressing the unique needs of farmers, promoting sustainable agriculture, and enhancing food security in the region.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Maize is a vital crop for food security and agriculture, particularly within Sub-Saharan Africa. View evidence ↗

      Why it matters

      Maize is a vital crop for food security and agriculture, particularly within Sub-Saharan Africa.

      In the paper's own words

      “Maize is a crucial crop in agriculture and food security, especially in Sub-Saharan Africa”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Agricultural productivity in Southern Africa is currently threatened by the effects of climate change. View evidence ↗

      Why it matters

      Agricultural productivity in Southern Africa is currently threatened by the effects of climate change.

      In the paper's own words

      “The region of Southern Africa is currently facing the challenging consequences of climate change on agricultural productivity”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • In Namibia's Kavango East region, poor soil quality, marked by low nutrient levels and poor water retention, hinders successful maize production. View evidence ↗

      Why it matters

      In Namibia's Kavango East region, poor soil quality, marked by low nutrient levels and poor water retention, hinders successful maize production.

      In the paper's own words

      “The soil quality in Kavango East, which is characterized by a scarcity of nutrients and a restricted ability to retain water, poses obstacles to successful production”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aims to evaluate the socio-demographic and agricultural challenges facing maize production in Kavango East and propose practical interventions. View evidence ↗

      The question

      The study aims to evaluate the socio-demographic and agricultural challenges facing maize production in Kavango East and propose practical interventions.

      In the paper's own words

      “The paper aims to assess these challenges and suggest feasible interventions.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The researchers collected data from a sample of 52 small-scale maize farmers. View evidence ↗

      What they did

      The researchers collected data from a sample of 52 small-scale maize farmers.

      In the paper's own words

      “The data for this study was collected from the 52 small scale farmers.”

      Page 2

      Found in: Results and Discussions Socio-Demographic characteristic of farmers

      Read it in the full textOpen PDF at page 2 ↗
    • The study utilized a quantitative exploratory survey design focusing on small-scale farmers in the Kavango East region. View evidence ↗

      What they did

      The study utilized a quantitative exploratory survey design focusing on small-scale farmers in the Kavango East region.

      In the paper's own words

      “The research adopted a quantitative approach through an exploratory survey, with a specific focus on small-scale maize farmers within the Kavango East region.”

      Page 2

      Found in: Research methodology

      Read it in the full textOpen PDF at page 2 ↗
    • Data was gathered through face-to-face interviews using semi-structured questionnaires. View evidence ↗

      What they did

      Data was gathered through face-to-face interviews using semi-structured questionnaires.

      In the paper's own words

      “Data collection involved face-to-face interviews using semi-structured questionnaires.”

      Page 2

      Found in: Research methodology

      Read it in the full textOpen PDF at page 2 ↗
    • The researchers used SPSS software and coding techniques to analyze the collected data. View evidence ↗

      What they did

      The researchers used SPSS software and coding techniques to analyze the collected data.

      In the paper's own words

      “Data analysis was conducted through coding techniques, utilizing the SPSS analytical software package.”

      Page 2

      Found in: Research methodology

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • A high unemployment rate of 78.8% was observed among the surveyed farming population. View evidence ↗

      What they found

      A high unemployment rate of 78.8% was observed among the surveyed farming population.

      In the paper's own words

      “The unemployment rate is 78.8%, which represents a considerable share of the population.”

      Page 2

      Found in: Results and Discussions Socio-Demographic characteristic of farmers

      Read it in the full textOpen PDF at page 2 ↗
    • Half of the surveyed households earn less than N$ 1000.00 per month, indicating low profitability in the region's agriculture. View evidence ↗

      What they found

      Half of the surveyed households earn less than N$ 1000.00 per month, indicating low profitability in the region's agriculture.

      In the paper's own words

      “50% of the households make less than N$ 1000.00 per month.”

      Page 2

      Found in: Results and Discussions Socio-Demographic characteristic of farmers

      Read it in the full textOpen PDF at page 2 ↗
    • Most farmers face moderate levels of agricultural threats, with 67.3% reporting moderate disease, 57.7% moderate weeds, and 69.2% moderate pests. View evidence ↗

      What they found

      Most farmers face moderate levels of agricultural threats, with 67.3% reporting moderate disease, 57.7% moderate weeds, and 69.2% moderate pests.

      In the paper's own words

      “Specifically, 67.3% of farmers report moderate disease conditions, 57.7% moderate weed conditions, and 69.2% moderate pest conditions.”

      Page 4

      Found in: Results and Discussions Socio-Demographic characteristic of farmers

      Read it in the full textOpen PDF at page 4 ↗
    • The most significant production challenge is the lack of quality inputs, such as certified seeds and fertilizers, which affects 46.2% of farmers. View evidence ↗

      What they found

      The most significant production challenge is the lack of quality inputs, such as certified seeds and fertilizers, which affects 46.2% of farmers.

      In the paper's own words

      “the lack of quality production inputs like certified seeds and fertilizers being the most significant, affecting nearly half of the farmers (46.2%).”

      Page 4

      Found in: Results and Discussions Socio-Demographic characteristic of farmers

      Read it in the full textOpen PDF at page 4 ↗
    • There is a heavy reliance on informal credit (67.3%), while only 13.5% of farmers use formal credit sources. View evidence ↗

      What they found

      There is a heavy reliance on informal credit (67.3%), while only 13.5% of farmers use formal credit sources.

      In the paper's own words

      “a significant majority of the respondents 67.3% depend on informal credit sources, while just 13.5% utilize formal credit and 19.2% rely on semi-formal sources.”

      Page 4

      Found in: Credit accessibility in the agricultural industry

      Read it in the full textOpen PDF at page 4 ↗
    • The main barriers to accessing loans are a lack of collateral (42.3%) and insufficient cash flow (28.8%). View evidence ↗

      What they found

      The main barriers to accessing loans are a lack of collateral (42.3%) and insufficient cash flow (28.8%).

      In the paper's own words

      “The primary obstacles to obtaining loans are the absence of collateral (42.3%) and insufficient cash flow (28.8%).”

      Page 4

      Found in: Credit accessibility in the agricultural industry

      Read it in the full textOpen PDF at page 4 ↗
    • A vast majority of farmers (88.5%) cannot secure all the financing they need from their current credit sources. View evidence ↗

      What they found

      A vast majority of farmers (88.5%) cannot secure all the financing they need from their current credit sources.

      In the paper's own words

      “88.5% are unable to obtain all the necessary financing from their credit sources.”

      Page 5

      Found in: Credit accessibility in the agricultural industry

      Read it in the full textOpen PDF at page 5 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (maize plants in a field in Kavango East, Namibia). It explains the idea and does not show study data.↗ Enlarge
Barriers vs. Solutions for Maize Production
AI-generated conceptual illustration (maize plants in a field in Kavango East, Namibia). It explains the idea and does not show study data.

AI-generated conceptual illustration (maize plants in a field in Kavango East, Namibia). It explains the idea and does not show study data.

Open full-size image ↗

Barriers vs. Solutions for Maize Production

AI-generated conceptual illustration (maize plants in a field in Kavango East, Namibia). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Column N %: Employed vs Unemployed
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Column N %: Employed vs Unemployed

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Column N %: Lack of Extension... vs High cost of water and... vs Lack of quality inputs... vs Low adopted technology
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Column N %: Lack of Extension... vs High cost of water and... vs Lack of quality inputs... vs Low adopted technology

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Socio demographic Information of Farmers in the Rural Areas of Kavango EastTable 1Page 3Maize production and inputs and challenges of farmersTable 2Page 3Obstacles to Credit Access for Farmers.Table 3Page 4
FULL TEXT Original article · reflowed for reading

Introduction

Maize is a crucial crop in agriculture and food security, especially in Sub-Saharan Africa (Adhikari et al., 2015) [1] . The cultivation of maize is intricately connected to the welfare of numerous African countries, with substantial ramifications for both nourishment and economic stability (Tesfaye et al., 2015) [15] . Maize agriculture has various complex obstacles that are driven by climatic change, sociodemographic factors, economic limitations, and the absence of finance facilities. Climate change, with its growingly erratic weather patterns, presents a significant peril to maize production in diverse places (Shiferaw et al., 2011) [18] . The region of Southern Africa is currently facing the challenging consequences of climate change on agricultural productivity (Thierfelder et al., 2018; Charnley et al., 2021) [19,5] . Namibia, situated in Southern Africa, serves as a prime example of how maize production is susceptible to the impacts of these climate changes. If climate adaptation measures are not swiftly adopted, projections indicate that maize yields in Namibia's Zambezi region will potentially decrease by up to 76% (Somses et al., 2020) [14] . Furthermore, Botswana and South Africa, which are neighbouring nations, have similar dry circumstances and heavily depend on large-scale commercial farming. This further worsens agricultural difficulties during drought periods (Thierfelder et al., 2018; Charnley et al., 2021) [19,5] . The vulnerability of African farmers, who depend on rainfed agriculture, highlights the urgent requirement for adaptive measures and sustainable farming methods, not only in Namibia, Botswana, and South Africa but also in various countries where maize plays a crucial role in ensuring food security (Agba et al., 2021) [2] . Creating maize cultivars that are highly adapted to regional climates, as highlighted by Keja-Kaereho and Tjizu (2019) [11] , is a crucial factor for achieving excellent crop yields in the context of climate change. Moreover, doing an in-depth examination focused on maize cultivation in Namibia's Kavango East region is essential due to its distinctive obstacles and possible remedies. This study is necessary to fill the current research void and aid in the creation of precise interventions (Cairns et al., 2021) [4] . The difficulties affecting maize production in the Kavango East region of Namibia are the result of a combination of socio-demographic issues, economic limitations, agronomic considerations, and a lack of easily obtainable finance facilities. Small-scale farmers in this region face a multitude of challenges, such as restricted availability of advanced farming technologies, financial services, agricultural inputs, insufficient training, and a lack of knowledge (Mukata & Swanepoel, 2019; Cairns et al., 2021) [13,4] . The presence of these hurdles greatly hinders the implementation of sustainable agricultural methods and technical advancements, which in turn undermines the production of maize. Furthermore, agronomic issues present significant barriers in addition to these socio-economic challenges. The soil quality in Kavango East, which is characterized by a scarcity of nutrients and a restricted ability to retain water, poses obstacles to successful production (Luchen et al., 2018) [12] . In addition, climate change exacerbates these difficulties by introducing increased fluctuations in weather www.extensionjournal.com patterns, erratic rainfall, and severe weather events that directly endanger maize harvests (Haindongo et al., 2020) [9] . Consequently, it is crucial to focus on enhancing soil fertility and developing climate resistance as essential factors for enhancing maize output in this area. To address these complex difficulties in an efficient manner, it is crucial to have collaborative initiatives that involve policymakers, research institutions, development organisations, and local communities (Mukata & Swanepoel, 2019) [13] . These collaborations can enhance the transfer of knowledge, offer financial and technical assistance, and establish favourable policies that encourage sustainable agriculture practices (Mukata & Swanepoel, 2019) [13] . Enhancing the capacity of small-scale maize growers in Kavango East to embrace sustainable practices and facilitating their access to financial facilities are crucial not just for increasing maize output but also for guaranteeing food security and bolstering resistance to climate change in the region.

Research methodology

The study was conducted in the Kavango East region of Namibia, situated in the northeastern part of the country, covering an area of 25,576 square kilometers and housing approximately 115,447 residents. This region experiences a tropical climate characterized by distinct dry and rainy seasons. The research adopted a quantitative approach through an exploratory survey, with a specific focus on small-scale maize farmers within the Kavango East region. Budget and time constraints influenced the choice of research design. To ensure a representative sample, random sampling was employed, providing equal chances for every individual in the population to be included in the study. Data collection involved face-to-face interviews using semi-structured questionnaires. The collected data underwent transcription and thematic analysis following the methods outlined by Braun and Clarke (2006) [20] , enabling the identification of significant patterns within the data. Data analysis was conducted through coding techniques, utilizing the SPSS analytical software package. Descriptive statistics were employed to summarize variables, and visual aids aided in data interpretation. Stringent ethical standards were upheld throughout the research, including obtaining informed consent from participants and ensuring their anonymity, following Flick's (2018) guidelines. To enhance the reliability and accuracy of the findings, triangulation was employed, validating data from multiple sources in accordance with Denzin's recommendations (1978). Member verification was also conducted to authenticate participant responses, following the methods advocated by Harper and Cole (2012) [21] .

The research objectives encompassed  Investigating the demographic profile of maize farmers in Kavango East, including age, gender, education level, and employment status.  Assessing maize production inputs and challenges, including pest and disease management, as well as seed and fertilizer utilization.  Examining credit access and the associated challenges faced by farmers.

Results and Discussions Socio-Demographic characteristic of farmers

Table 1 shows the socioeconomic demographic information of farmers in Kavango East. The data for this study was collected from the 52 small scale farmers. Table 1 shows a picture of the sociodemographic traits that are present within an agricultural community is shown in the table that has been supplied. It has a gender distribution that is virtually balanced, with 40.4% females and 59.6% males, which is relatively rare given that agriculture is typically dominated by men. Bachwe (2009) asserts that the gender of the farmer plays a crucial role in identifying the underlying reasons for inefficiency among farmers. Female farmers may exhibit lower efficiency compared to male farmers due to the generally superior physical strength of male farmers. This enables males to manage agricultural tasks with more ease compared to females. The average age of the participants is 47 years old, and the standard deviation is eight years, which indicates that the cohort is of a middle-aged age, which is typical of farming populations. The unemployment rate is far higher than the employment statistics that are normally reported in rural areas where agriculture is a prominent occupation. The unemployment rate is 78.8%, which represents a considerable share of the population. When it comes to areas of residence, most people live in rural areas, which is to be expected for a study that concerns agriculture. Higher levels of education are not as prevalent in rural farming communities, as seen by the fact that just 1.9% of the population has a university degree. This reflects the tendency that higher education is less prevalent in these areas. Although there is a wide range of marital statuses among the participants, significantly more than forty-four percent of them are single. This is a departure from the typical pattern of greater marriage rates in traditional farming communities. In many cultures, extended family living arrangements are common, and the typical household size is relatively large, with eight members. This suggests that extended family living conditions are prevalent. There are many different sources of income, with a sizeable percentage of people dependent completely on farming (32.7%), while others combine farming with activities that are not related to farming or other official work. The distribution of income is such that 50% of the households make less than N$ 1000.00 per month. The result of this study is consistent with the patterns that are observed in emerging regions, where agriculture is frequently not very lucrative. When these data are compared to those of other research, it becomes abundantly evident that although there are similarities in the sociodemographic characteristics of agricultural communities, such as the distribution of ages and the number of people living in rural areas, there are also significant disparities, particularly in terms of employment rates and marital status. These variations can be attributable to a variety of variables, including differences in geography, economics, and culture, all of which have an impact on the structure and dynamics of agricultural communities (Jona, 2016) [10] . www.extensionjournal.com Maize challenges and factors that will enhance production Table 2 presents an analysis of the factors involved in maize cultivation, highlighting the difficulties encountered by non-scheme farmers. It covers environmental influences on crop yield, the selection of seeds and fertilizers, as well as obstacles and opportunities for enhancing maize production. Starting with the conditions of diseases, weeds and pests, it's evident that most farmers deal with moderate levels of these issues. Specifically, 67.3% of farmers report moderate disease conditions, 57.7% moderate weed conditions, and 69.2% moderate pest conditions. This suggests that while these issues are prevalent, they may not be at critically high levels for most farmers. When it comes to the area of maize planted, the average is 1.5 hectares, with a range of 3 hectares and a standard deviation of 0.6 hectares. This indicates a modest variability in the size of maize farms among the respondents.

Table 2. Maize production and inputs and challenges of farmers
——CountColumn N %MeanRangeStandard Deviation
Condition of the diseasesLow1528.8
Moderate3567.3
High23.8
Condition of the weedsLow23.8
Moderate3057.7
High2038.5
Condition of the PestsLow23.8
Moderate3669.2
High1426.9
Area of Maize planted1001.53.00.6
Type of seeds useLocal seeds (open market)2548.1
Last produce seeds713.5
Certified seeds2038.5
Type of fertilizersOrganic3363.5
Inorganic00
Both1936.5
What challenges are you facing in producing MaizeLack of Extension Officers47.7
High cost of water and electricity35.8
Lack of quality inputs certified seeds and fertilizers2446.2
Low adopted technology1325
Use of certified seeds1936.5
Factors that would contribute to maize productionIncorporate inorganic fertilizers1426.9
Enhance effective extension services and adoption of modern technology1936.5

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Maize production and inputs and challenges of farmers↗ Enlarge
Table 2
Maize production and inputs and challenges of farmers

Maize production and inputs and challenges of farmers

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Original paper tableSource PDF · page 3 ↗
Table 1. Socio demographic Information of Farmers in the Rural Areas of Kavango East
Socio demographic Information of Farmers in the Rural Areas of Kavango East↗ Enlarge
Table 1
Socio demographic Information of Farmers in the Rural Areas of Kavango East

Socio demographic Information of Farmers in the Rural Areas of Kavango East

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Original paper figureSource PDF · page 3 ↗

Regarding seed types, a diverse range is used, almost half of the farmers (48.1%) use local seeds from the open market, a significant portion (38.5%) use certified seeds, and a smaller group (13.5%) relies on seeds from their last produce. This variety in seed selection could reflect differences in farmers' access to resources, preferences, or perceptions of seed quality.

In terms of fertilizer, there's a notable preference for organic over inorganic, with 63.5% of farmers using organic fertilizers. Surprisingly, none of the farmers reported using inorganic fertilizers exclusively, but 36.5% use both types. This might point to an inclination towards organic farming practices or possibly constraints and cost of associated with inorganic fertilizers. The challenges faced in maize production are diverse, with the lack of quality production inputs like certified seeds and fertilizers being the most significant, affecting nearly half of the farmers (46.2%). Other notable challenges include high incidences of insects and diseases, low adoption of technology, and a lack of extension services. These challenges highlight areas where intervention could significantly impact production efficiency and output. extend this section.

Factors that could contribute to better maize production include the use of certified seeds and the incorporation of good quality fertilizers, notably inorganic, as well as enhancing extension services and adopting modern technology. These factors are recognized by a substantial portion of farmers as key to improving maize production. Farmers confront several obstacles, with 46.2% suffering severe consequences. Optimizing pest and disease control through precision agriculture is crucial due to increasing rates of insects and diseases. Low technology adoption and a lack of extension services that give farmers the expertise and resources to enhance their practices worsen these difficulties. Research indicates that on-farm seed priming improves crop production in underdeveloped nations, highlighting the possibility for innovative agronomic solutions to address issues. These findings show where initiatives and support are needed to solve agriculture's problems.

Credit accessibility in the agricultural industry

Table 3 provides numerous significant insights into credit accessibility in the agricultural industry. Concerning the Agricultural Bank, a mere 9.6% of respondents are beneficiaries, suggesting a restricted scope or availability of its services. The primary obstacles to obtaining loans are the absence of collateral (42.3%) and insufficient cash flow (28.8%). In addition, 21.2% of individuals cited the inherent risk associated with agricultural production, while 7.7% grapple with the challenge of asymmetric information. www.extensionjournal.com

Table 3. Obstacles to Credit Access for Farmers.
QuestionsAlternativesCountColumn N%
Do you access credit facilityFormal Credit713.5
Informal3567.3
Semi-formal1019.2
Why not formal credit, if noLack of collateral1225.0
Low inflow of working capital1019.2
Production risk1121.2
Do know1019.2
Are you a beneficiary of Agric BankYes59.6
No4790.4
What challenges are you facing in accessing credit?Asymmetric Information47.7
Lack of collateral2242.3
Low cash flow on working capital1528.8
Production risk1121.2
Do you get all finance needed from your sources of creditYes611.5
No4688.5
What improvement do you want to see that will make credit affordable and accessiblePolicy support2038.5
Off-take agreements with financial source1121.2
Amend collateral requirements917.3
Don’t Know1223.1

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Obstacles to Credit Access for Farmers.↗ Enlarge
Table 3
Obstacles to Credit Access for Farmers.

Obstacles to Credit Access for Farmers.

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Original paper tableSource PDF · page 4 ↗

The survey also reveals a disparity between the amount of credit available and the financial requirements of the participants, as 88.5% are unable to obtain all the necessary financing from their credit sources. Regarding enhancements, survey participants expressed a desire for policy assistance (38.5%), agreements with financial providers for purchasing goods or services (21.2%), and modifications to the conditions for providing collateral (17.3%), while 23.1% are uncertain. Collectively, the data emphasizes the dependence on informal loan sources in the field of agriculture, the obstacles presented by conventional financial services, and the necessity for more adaptable and inventive credit solutions, which may require state involvement.

Main findings of the study 1. Socio-Demographic Characteristics: The study revealed a population of middle-aged, well-educated male farmers who face significant unemployment levels. This demographic context is crucial for understanding the human resource capabilities and limitations within the farming community in Kavango East.

Agricultural Difficulties: Farmers in the region

confront moderate levels of crop diseases, weed, and insect issues. These challenges are compounded by diverse practices in seed and fertilizer use, indicating a need for standardized and improved agricultural practices.

Barriers to Production:

The study identified substantial barriers related to the insufficient quality of production inputs and limited integration of technology. These factors hinder the efficiency and productivity of maize farming in the region. 4. Strategies for Improvement: Key strategies to enhance maize production were identified, including the utilization of certified seeds, integration of highquality inorganic fertilizers, and strengthening of extension services and technology. These interventions are aimed at addressing the specific challenges faced by farmers and could lead to significant improvements in maize production.

Policy and Support Systems:

The findings emphasize the importance of developing customized policies and support systems tailored to the unique needs of urban non-subsidized maize producers. Such policies should aim to promote sustainable agricultural progress and enhance food security in the region.

Conclusion

The conclusion of the study on socio-demographic and agricultural challenges in maize production in Kavango East, Namibia, emphasizes that farmers in the region encounter a range of complex challenges. These challenges are primarily rooted in socio-demographic factors and agricultural obstacles. Key issues identified include a predominant reliance on traditional farming methods, a general lack of formal education among farmers, and substantial difficulties related to disease and pest management, as well as accessing quality inputs for farming. These findings highlight the need for targeted interventions and support to address these multifaceted challenges and improve maize production in the region.

Recommendations

1. Develop targeted support programs for non-farmers in Kavango East, focusing on skill development and income generation opportunities. 2. Provide farmers in the region with access to quality inputs such as certified seeds and fertilizers to improve maize production. 3. Strengthen extension services and promote the adoption of modern agricultural technologies to enhance maize production. 4. Address the challenges related to credit access by implementing policies that mitigate information asymmetry, reduce collateral requirements, and enhance cash flow for working capital. 5. Establish off-take agreements with financial institutions to facilitate credit access for farmers in rural Kavango East.

References

19 in the original paper
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