Market access constraints and value chain gaps influencing goat meat production potential in smallholder systems: a case study from Tanzania

Abstract

Introduction:

This study investigated the constraints hindering smallholder goat farmers in Misungwi District, Mwanza, Tanzania, from accessing reliable market information and effectively participating in the goat value chain.

Methods:

Using a mixed-methods approach, the study involved 63 participants (50 farmers, 6 traders, and 7 key stakeholders) and employed structured surveys, semi-structured interviews, and participatory rural appraisal techniques.

Results:

The findings revealed that the goat value chain is largely informal and fragmented, with minimal coordination among actors. Farmers face challenges including inadequate extension services, weak bargaining power, poor infrastructure, dependence on intermediaries, and informal marketing channels. Seasonal price fluctuations and limited access to timely market information further undermine income stability. Despite these constraints, the majority of farmers (86%–88%) expressed strong interest in farm management training, commercial production, and marketing, indicating a strong willing ness to transition toward more market-oriented systems.

Discussion:

The study recommends strengthening extension service delivery, promoting cooperative structures, improving institutional linkages, and implementing targeted capacity-building programs. These strategies are essential to improving commercialization, income generation, and rural livelihoods among smallholder goat farmers in Tanzania.

1 Introduction

Goats (Capra hircus) are recognized as among the earliest domesticated livestock species, primarily due to their remarkable adaptability and multifunctionality across diverse agroecological zones. Their domestication, which began around 11,000 years ago in the Near East, has enabled them to thrive across diverse environments, making them invaluable to global food security and rural economies. This adaptability is reflected in their ability to cope with climate change and fulfill multiple roles, such as providing meat, milk, fiber, manure, and draft power in developing regions (Petretto et al., 2024; Thepparata et al., 2012; Amills et al., 2017; Monteiro et al., 2017; Zinsou et al., 2024). They provide essential goods and services, including meat, milk, fiber, manure, and in some contexts, draft power. In East Africa and Tanzania in particular, goats play a critical role in supporting rural livelihoods, contributing to household nutrition, income diversification, soil fertility, and social cohesion, especially in semi-arid and agro-pastoral regions (Adesogan et al., 2026; Kichamu et al., 2024). With an estimated 27.6 million goats, Tanzania relies heavily on smallholder production systems characterized by low-input, extensive management practices (Chenyambuga and Lekule, 2014; Magonka et al., 2024). Both indigenous and dairy goats are kept, with common breeds including Sukuma, Masai, Gogo White, Pare, Ujiji, Sonjo, and Newala (Magonka et al., 2024; Nguluma et al., 2016; Rouatbi et al., 2022), while dairy breeds include Toggenburg, Saanen, Norwegian, Anglo-Nubian, and Alpine (Shija et al., 2014). The goats are valued for their disease resistance, reproductive performance, and ability to thrive in marginal areas (Armson et al., 2021).

Smallholder goat farmers face numerous systemic constraints that hinder their integration into formal markets, despite their socio-economic significance. These constraints stem from a combination of socio-economic, cultural, and infrastructural factors that limit market participation and productivity (Namonje-Kapembwa et al., 2019; Lohani and Bhandari, 2021). Farmers often lack access to agricultural extension services, which hampers their knowledge of best practices and market opportunities. Issues such as inadequate feeding resources, high disease incidences, and low herd sizes significantly affect productivity and market engagement (Gamit et al., 2020; Setoboli et al., 2024). The result is a fragmented and inefficient marketing system that suppresses farmers’ income potential and hinders commercialization efforts. Moreover, the dominance of informal market channels and the absence of producer cooperatives erode farmers’ bargaining power and access to value-added opportunities. Although prior studies have examined livestock and goat marketing challenges in various regions of the world, including Africa, Tanzania provides a particularly compelling case study due to its agro-pastoral setting, dense population of smallholder goat farmers, and underexploited market potential (Ndiritu and Gichuki, 2025; Namonje-Kapembwa et al., 2022; Nguyen et al., 2023; Mujahid et al., 2024). However, there remains insufficient empirical evidence specifically examining the structural and functional dynamics of goat value chains in Tanzania’s agro-pastoral settings. Most prior works focus on broader goat systems or on different production contexts, dairy hubs, or intensive systems, leaving a gap in our understanding of how indigenous smallholder goat systems operate. Recent studies highlight production constraints and market challenges in Tanzania (Mpelangwa and Makindara, 2021; Nguluma et al., 2022), while regional reviews also underline persistent systemic barriers in small ruminant production (Armson et al., 2021). Yet little research has explicitly mapped or analyzed the institutional and market linkages that shape the commercialization of goats in agro-pastoral contexts. This study, therefore, addresses this knowledge gap by examining: (1) the structure and performance of the goat value chain; (2) the barriers that smallholder farmers face in accessing reliable market information and formal markets; (3) opportunities within the goat value chain in Misungwi District. The findings in this study will contribute to broader discourse on inclusive market systems and align with key national strategies such as the Tanzania Livestock Master Plan and the Agricultural Sector Development Strategy II (ASDS-II), as well as global objectives under SDGs 1, 2, and 5.

2 Materials and methods

The study was conducted in three wards, Misasi, Igokelo, and Idetemya, located in Misungwi District, Mwanza Region, northwestern Tanzania. The district is characterized by agro-pastoral livelihoods, with goat farming forming a significant part of household economies. These wards were purposively selected because they have a high concentration of smallholder goat farmers and active participation in local goat marketing, and they represent typical agro-pastoral goat production systems in the district. Practical considerations, including fieldwork and stakeholder engagement accessibility, were also taken into account.

2.1 Study population, sampling, and data collection

The target population comprised smallholder goat farmers, livestock traders, and key stakeholders directly engaged in the goat value chain within Misungwi district. Smallholder goat farmers were randomly selected from farmer lists provided by ward-level livestock extension offices, while livestock traders and key stakeholders were purposively selected based on their involvement in the goat value chain.

A mixed sampling approach was therefore employed to ensure representativeness and inclusion of relevant actors, combining simple random sampling for smallholder farmers with purposive sampling for traders and stakeholders. A total of 63 participants were selected for the study: 50 smallholder goat farmers, 6 livestock traders, and 7 key informants, including livestock extension officers and local government officials. The sample size (n = 63) was considered adequate for the exploratory and mixed-methods design of the study. The study aimed to identify contextual patterns and institutional constraints within the goat value chain rather than to perform population-level statistical inference. Triangulation of quantitative survey data with qualitative interviews, field observations, and participatory rural appraisal techniques was used to enhance the robustness of the findings despite the modest sample size.

Primary data were obtained through a combination of structured questionnaires, semi-structured interviews, and direct field observations. The questionnaire instrument was systematically structured into seven thematic sections:

• Socio-demographic characteristics of respondents,

• Goat production and management practices,

• Access to and utilization of market information,

• Availability, frequency, and type of extension services received,

• Marketing behaviors and price negotiation confidence,

• Training needs and perceived institutional support, and

• Perceptions of collaboration and engagement in the goat value chain.

To capture respondent perceptions and behavior, a combination of Likert-scale items and categorical response formats was employed.

2.2 Data analysis

Quantitative data from the structured questionnaires were entered into Statistical Package for the Social Sciences (SPSS) version 19.0 and analyzed using descriptive statistics (frequencies, percentages, means, and standard deviations) to summarize socio-demographic characteristics, flock structure, extension access, and market behaviors. Qualitative data from semi-structured interviews and participatory rural appraisal (PRA) exercises were transcribed and analyzed using inductive thematic analysis: transcripts were coded into identifying recurring themes and explanatory patterns, codes were grouped into higher-level themes, and these qualitative insights were triangulated with survey results to interpret observed quantitative patterns. Given the exploratory scope and sample size (n = 63), descriptive and thematic approaches were prioritized to provide contextualized insights. We acknowledge that econometric or network/value chain modelling would be the appropriate next steps to test causal hypotheses and measure the magnitude of effects.

3 Results

3.1 Demographics and farmer capacity

Figure 1 presents the demographic characteristics and capacity of smallholder goat farmers in Misungwi District, categorized by gender, age, education level, and farming experience. A majority of respondents (63%) were male, while females accounted for 37%, indicating that goat farming is primarily undertaken by men in the district (Figure 1A). The age distribution of respondents shows a predominance of individuals in the economically active age group, with 41% aged 31–45 years, followed by 29% aged 46–60 years (Figure 1B). This demographic structure reflects a labor force with both productivity potential and openness to innovation. Educational attainment among farmers was generally low: 53% had completed only primary education, and 28% reported no formal education. Only 19% had attained secondary education or higher (Figure 1C). This limited educational background may pose challenges to information uptake, technology adoption, and formal market engagement. Regarding farming experience, 47% of respondents reported more than 10 years of goat farming experience, 34% reported 5–10 years, and 19% reported less than 5 years (Figure 1D). This suggests that while most farmers are experienced, a segment of relatively new entrants may benefit from targeted capacity-building programs.

Figure 1

3.2 Market access and information flow

To examine barriers to accessing reliable market information and formal markets, this section presents findings on information sources, marketing channels, and price negotiation dynamics. This section presents findings on how smallholder goat farmers in Misungwi district access market information, the types of information they value, and the marketing channels they utilize. Insights are drawn from both survey responses and field observations, as illustrated in Figure 2. To supplement the survey findings, Figure 3 provides photographic evidence of typical market interactions and livestock management practices.

Figure 2

Figure 3

3.2.1 Sources of market information

As shown in Figure 2A, most farmers rely on informal communication channels for market information, such as word-of-mouth interactions with fellow farmers and local traders. A minority of respondents reported formal sources, including extension officers, mobile phone alerts, and radio broadcasts, indicating limited penetration of institutional information systems in rural livestock markets.

The predominance of informal sources (Figure 2A) indicates more than a reporting preference; it reveals an information environment characterized by asymmetry and limited institutional reach. Reliance on word of mouth and local trader contacts raises transaction costs and reduces farmers’ ability to compare market offers or forecast prices. As a result, farmers are more susceptible to opportunistic behavior by intermediaries and have little leverage in price negotiations. This pattern points to structural weaknesses in market information flows (limited extension-mediated dissemination, low digital penetration, and the absence of local price boards or aggregation points) that constrain farmers’ market agency.

3.2.2 Information-seeking behavior

Figure 2B highlights the strategies farmers employ to actively seek market information. The most common methods were regular visits to local markets and direct engagement with traders. Few farmers reported using digital platforms or participating in cooperative groups, suggesting a digital divide and limited integration with organized marketing structures. This reliance on informal, face-to-face information sources implies that farmers’ access to timely and standardized market information remains limited, potentially reinforcing information asymmetry and reducing their capacity to negotiate prices effectively.

3.2.3 Types of market information valued

When asked about the kinds of market information they considered useful, most respondent’s prioritized data on goat prices and buyer demand (Figure 2C). Other valued types of information included transportation availability and regulations related to animal health and movement. This indicates a clear demand for practical, transaction-related information. The emphasis on price and demand information suggests that farmers’ marketing decisions are primarily driven by immediate transactional considerations rather than longer-term market planning, underscoring the importance of timely and accessible market intelligence at the point of sale.

3.2.4 Market channels

Figure 2D shows that most farmers sell goats directly to local traders or middlemen at village-level markets. Only a small proportion access higher-value channels, such as urban markets or abattoirs. This limited reach constrains their income potential and weakens their bargaining position in the value chain. The predominance of village-level sales through intermediaries implies limited vertical integration within the value chain, which may restrict farmers’ ability to capture added value and increase their vulnerability to price-setting by downstream actors.

3.2.5 Influence of market prices on decision-making

Figure 2E shows that most smallholder farmers adjust the timing and quantity of goat sales in response to seasonal price fluctuations. Farmers reported that market prices tend to decline during peak supply periods—often associated with the post-harvest season—and to rise during festive or lean periods. This seasonality plays a critical role in marketing decisions and income planning. The findings underscore the need for reliable, timely market information systems that not only reflect current prices but also forecast seasonal trends. Empowering farmers with such tools can significantly improve market timing, income stability, and resilience.

Seasonality-driven selling behavior (peak supply to lower prices; festive/lean periods to higher prices) becomes problematic when coupled with weak information flows. Without timely price signals or forecasts, farmers often sell during periods of low prices or in response to immediate cash needs rather than to market opportunities. In other words, seasonality alone does not explain income loss; the combination of price cycles and limited access to reliable, timely information leads to suboptimal market timing and reduces farm income. Interventions that provide simple, regular price updates or community aggregation can therefore change behavior and improve price capture.

3.3 Value chain structure and institutional linkages

This section examines how the goat value chain in Misungwi district is organized and coordinated, focusing on relationships among actors and the role of institutional linkages in production, marketing, and service delivery. Figure 4 illustrates the configuration of the goat value chain, showing interactions among producers, traders, service providers, and supporting institutions across different stages of production and marketing. Key findings are summarized in Table 1. The goat value chain in Misungwi is largely linear and informal, with minimal integration among actors. Smallholder farmers constitute the primary producers but remain disconnected from downstream value addition processes and formal market systems. Input suppliers (e.g., veterinary drug vendors and feed providers) typically operated independently, without structured contracts or coordination with extension services. The marketing segment is dominated by middlemen and livestock traders, who play a central role in price setting due to the absence of producer cooperatives or bargaining institutions. These intermediaries often bypass farmers when dealing directly with slaughterhouses and urban butchers, further weakening farmers’ market influence and their share of income. Collaboration across the value chain is weak. There is little vertical integration (coordination between production, processing, and marketing) and limited horizontal linkages (collaboration among farmers). Informal networks among traders do exist but tend to lack transparency, consistency, and trust. Support services—including extension, veterinary care, and access to credit—are sporadic and poorly coordinated, further hindering productivity and market participation. Insights from Table 1 reveal that farmers perceive significant limitations in institutional collaboration and value chain development. Over half of respondents (54%) reported the absence of meaningful opportunities for market collaboration, indicating a lack of trust or of structural mechanisms for coordinated action. Nonetheless, 26% recognized the availability of buyers as a potential avenue for engagement, while 12% identified the potential to increase herd size as a pathway to improved market leverage. Only a small proportion (8%) highlighted improved communication as a necessary condition for enhancing collaboration, suggesting that social and informational linkages remain underdeveloped. Confidence in price negotiation was also relatively low. While 46% of farmers rated their negotiation confidence as “good” or better, only 6% rated it “excellent,” and the majority (40%) rated it “satisfactory.” This distribution reflects both a limited capacity for strategic market engagement and entrenched power asymmetries within the goat value chain, particularly where informal market actors dominate price-setting mechanisms. Training needs emerged as a critical theme across respondents. A substantial majority (86%) expressed interest in capacity-building in farm management and economics, indicating recognition of the financial and operational constraints that limit profitability. An even higher percentage (88%) emphasized the importance of training in commercial production and marketing, underscoring a widespread desire to transition from subsistence-based to more market-oriented livestock systems. We strengthened the interpretation by linking observed constraints to underlying causes. For example, small flock sizes are closely linked to limited access to formal credit and a lack of collateral, which restricts farmers’ investment and expansion. Reliance on indigenous breeds largely reflects limited access to breeding programs and genetic services, as well as farmers’ risk-averse preferences in marginal environments. The dominance of informal market channels and middlemen stems from weak collective organization (few cooperatives), high transaction costs associated with accessing urban markets, and limited trust in formal contract arrangements. Finally, inconsistent extension coverage and weak institutional coordination stem from constrained public service budgets and low prioritization of small ruminant value chains in regional planning.

Figure 4

In contrast, relatively few respondents prioritized training in animal health and production (10%) or acknowledged the role of farmer associations (2%), possibly indicating limited awareness of how institutional and collective structures could enhance bargaining power and access to services. These findings highlight the need for integrated training programs that focus not only on production efficiency but also on strengthening market literacy and organizational development.

Figure 4 and Table 1 reveal a clear institutional gap: 54% of farmers report no opportunities for market collaboration, while 86%–88% express demand for training and commercial support. This gap helps explain the dominance of middlemen. Because farmers operate individually and lack aggregation mechanisms (cooperatives, producer groups, or contracting platforms), traders supply the missing functions of liquidity and market access, but they extract a disproportionate share of surplus. The limited and uneven extension coverage (only 8% weekly, 70% monthly, 22% never) further weakens farmers’ organizational capacity and market literacy, reducing their ability to adopt collective marketing or negotiate better terms. Together, weak institutions, limited extension support, and a fragmented market structure create conditions for persistent power asymmetry within the value chain.

3.4 Genetic resources and flock management

This section highlights how the genetic composition and management practices of goat flocks shape productivity outcomes and influence smallholder farmers’ participation in the goat value chain, thereby indicating potential opportunities for value chain upgrading. The genetic composition and management practices of goat flocks among smallholder farmers in Misungwi District reveal important implications for productivity and value chain participation. As summarized in Table 2, the overwhelming majority of respondents (84%) rear indigenous or local goat breeds, while only a small proportion reported keeping crossbred (6%) or exotic (2%) animals. A marginal segment of farmers manage mixed herds, either combining local and crossbred goats (2%) or maintaining all three types—local, crossbred, and exotic (6%). This dominant reliance on indigenous breeds reflects their strong adaptability to local environmental conditions, disease resistance, and lower requirements for management inputs. However, it also signals limited access to improved breeding technologies and genetic upgrading programs, which could otherwise enhance productivity and market value.

Flock sizes varied among the surveyed households, with the majority (70%) owning between 10 and 49 goats. This range represents a typical semi-subsistence production scale with latent commercialization potential. A smaller proportion (14%) maintained herds of 50 or more goats, indicative of more market-oriented operations, while 16% owned fewer than 10 goats, reflecting subsistence-level production. These variations underscore the heterogeneity of goat farming systems in the district and highlight opportunities for targeted support based on production scale.

Access to extension services, a critical factor in herd health, breeding management, and market readiness, was found to be inconsistent. While 70% of farmers reported receiving advisory services monthly, only 8% received such support weekly. Alarmingly, 22% of respondents reported never receiving any extension assistance. This lack of regular technical support severely limits knowledge transfer, the adoption of improved practices, and the integration of smallholders into formal and value-added market systems. Strengthening the reach and frequency of extension services—particularly in genetic improvement, commercial herd management, and veterinary care—is therefore essential to unlocking productivity gains and achieving sustainable value chain upgrading.

The data indicate three interlinked structural drivers of market exclusion in Misungwi: (1) information asymmetry (reliance on informal channels and lack of timely price signals), (2) weak institutions and aggregation (absence of cooperatives or formal buyer relationships), and (3) uneven service delivery (inadequate extension and support). These drivers do not operate independently but reinforce one another–together they explain why farmers frequently accept low prices and why demand for training remains high. The Discussion below interprets these mechanisms in light of regional evidence and frames specific, evidence-based interventions.

4 Discussion

This study examined the demographic, institutional, and market-related factors influencing market access and value chain performance among smallholder goat farmers in Misungwi District, Tanzania. The findings highlight a complex mix of structural constraints and emerging opportunities that collectively shape the commercial viability of smallholder goat farming systems.

The demographic composition of goat farmers in the study area revealed a relatively young, economically active population, with 41% of respondents aged 31–45 years and 63% male. This age group is often more receptive to innovation and training, suggesting a strong potential for capacity development initiatives. However, the low levels of formal education observed, where 81% of respondents had only primary education or none, may limit the uptake of technical knowledge and constrain engagement with formal markets, consistent with previous studies in sub-Saharan Africa (Chamberlin and Sumberg, 2021). Access to goat market information significantly hinders effective market participation by farmers, who often rely on informal channels such as peer-to-peer communication and local traders for price information. This reliance on informal networks can lead to misinformation and exploitation by traders, ultimately affecting farmers’ income and market engagement. Our results align with prior work documenting limited access to reliable market information among smallholders. Magesa et al. (2014) and Zhllima et al. (2024), and with FAO regional analyses that highlight high transaction costs and weak collective organization as constraints for the small ruminant value chain. Our study adds a clearer articulation of how breed composition and extension coverage interact with market structures to constrain commercialization. Specifically, the predominance of indigenous breeds (84% in our sample), combined with inconsistent extension services (22% never received any advisory support), reduces farmers’ readiness to meet market weight and quality requirements, thereby increasing their dependence on short-term traders. This suggests that interventions limited to market information provision will have only a partial effect unless paired with genetic and extension support and measures to reduce transaction costs (e.g., collective marketing). Finally, unlike some studies focused on single interventions (Kaumbata et al., 2021; Kassie et al., 2021; Ngongolo and Mmbaga, 2022), our findings suggest that package interventions linking extension, genetics, and market linkages will be more effective in these agro-pastoral settings (Abdulai et al., 2023).

The study also found that the dominance of middlemen in agricultural marketing channels significantly impacts smallholder farmers’ bargaining power and income. This situation is exacerbated by high transaction costs and limited access to urban markets, as highlighted in various studies. The reliance on intermediaries often results in lower prices for farmers, restricting their ability to negotiate better terms and ultimately diminishing their income share (Namonje-Kapembwa et al., 2019; Pingali et al., 2019). The limited presence of producer groups or cooperatives further reduces farmers’ capacity for collective action, price negotiation, and access to premium markets. Similar constraints have been reported in other East African contexts, where weak horizontal and vertical coordination undermines smallholder market integration (FAO, 2016). The goat value chain in Misungwi District is largely linear and informal, with minimal coordination among producers, traders, service providers, and downstream actors. Farmers are primarily price takers, isolated from value-adding nodes and standard-setting mechanisms. The absence of structured institutional linkages—such as extension systems, contract farming schemes, and producer cooperatives—contributes to the persistence of low productivity and market exclusion. Effective value chain upgrading indeed necessitates coordinated interaction, trust-building, and shared incentives among various actors. This is crucial for enhancing collaboration and ensuring that all participants benefit from the value chain dynamics (Puskur et al., 2011; Rao et al., 2019)—conditions largely absent in the Misungwi goat sector.

Despite these challenges, the study identified latent opportunities for upgrading. While a majority of respondents saw limited immediate prospects for collaboration, a substantial share acknowledged the availability of buyers (26%) and the potential for herd expansion (12%) as potential levers for improvement. Farmers also expressed strong demand for market-oriented training: 86% requested capacity-building in farm management and economics, while 88% emphasized the need for training in commercial production and marketing. This indicates farmers’ readiness to transition to more structured, market-responsive systems when supported by appropriate knowledge and institutional mechanisms. The predominance of indigenous goat breeds (84%) reflects their environmental adaptability and cultural acceptance, but also signals limited access to improved genetics. Crossbreds and exotic breeds remain rare in the district, mirroring findings by Chenyambuga and Lekule (2014), who highlighted productivity trade-offs between indigenous and improved breeds. Strategic goat breeding programs, particularly participatory crossbreeding schemes, are essential for enhancing productivity while ensuring environmental sustainability. These programs leverage local genetic resources and actively involve farmers, addressing the unique challenges faced by smallholder farmers called community-based breeding programmes (CBBPs). By focusing on indigenous stock, these initiatives not only improve productivity but also ensure that livestock are well-adapted to their environments (Haile et al., 2019; Al-Barakeh et al., 2024).

Flock sizes were consistent with semi-commercial systems, with most farmers owning 10 to 49 goats. However, access to extension services was uneven and inadequate. While 70% of respondents received support monthly, 22% had never received any advisory services. This variability undermines the dissemination of improved practices in animal health, nutrition, and reproductive management. Previous studies underscore that regular, high-quality extension services play a crucial role in enhancing livestock productivity and market participation, particularly in marginalized rural settings. These services provide farmers with essential knowledge, skills, and resources, enabling them to improve their livestock management practices and engage more effectively in market activities. The following sections outline the key aspects of this role (Kauky, 2024; Kitole, 2025).

4.1 Limitations of the study

This study has several limitations that should be noted. First, the sample size (n = 63) participants) and focusing on a single District (Misungwi) limits the generalizability of the results to other agro-ecological or socio-economic contexts in Tanzania. Second, the cross-sectional, largely descriptive nature of our analysis limits causal inference; we did not apply econometric or network/value chain models that could provide deeper quantitative insights. Third, some findings rely on respondents’ recall and self -reports, which may introduce bias. Finally, the absence of longitudinal data precludes assessing trends or the long-term impacts of interventions. We acknowledge these limitations and propose that future research use larger, multi-district samples, longitudinal designs, and causal methods to build on our exploratory findings.

5 Conclusion

This study examined market access constraints and value chain dynamics among smallholder goat producers in Misungwi district, Tanzania. The goat value chain was largely informal and fragmented, with weak institutional coordination and limited integration among actors. Barriers to accessing reliable market information and formal markets were evident, particularly through reliance on informal channels and seasonal price-driven sales. Despite these constraints, farmers demonstrated strong interest in training, commercial production, and market-oriented systems, highlighting clear opportunities for value chain upgrading. Targeted interventions such as strengthening extension services, promoting digital market tools, supporting producer cooperatives, and enhancing genetic resources offer promising avenues for upgrading the goat value chain. These strategies align with national development priorities and have the potential to substantially improve rural livelihoods. Future research should evaluate package interventions (extension, genetics, and market linkage) using larger, multi-district samples and evaluative methods to establish causal effects on market participation and household welfare.

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