Abstract
Purpose:
This study investigates the acceptability of wildlife tourism joint ventures (JVs) among rural communities in northern Tanzania’s Wildlife Management Areas (WMAs). These partnerships between communities and external investors aim to conserve biodiversity and deliver sustainable socioeconomic benefits. Guided by the Cognitive Hierarch Model (CHM), the research examines how values, beliefs and contextual experiences shape community judgements of JVs.
Methods:
We employed a mixed-methods approach, including household surveys with 548 respondents across nine villages (three from each of the Burunge, Enduimet and Randilen WMAs) and 20 Key Informant Interviews. The surveys captured respondents’ perceptions of JV benefits, conservation-related factors and demographic information, while key informant interviews provided deeper contextual perspectives on wildlife tourism partnerships. We analyzed the quantitative data using an ordinal cumulative link mixed model and applied thematic analysis to the qualitative data to determine the acceptability of JVs in WMAs.
Results:
We found that community acceptability of JVs is positively influenced by perceived socio-economic benefits, including financial opportunities, support for public infrastructure, access to employment in tourism facilities and support for local microenterprises. However, limited recognition or awareness of investor contributions to wildlife protection can reduce community willingness to accept and support JVs. Education and positive expectations of tourism growth further enhance acceptability, while negative experiences related to conservation foster skepticism. Observed variations across WMAs and among households highlight the need for place-based governance and locally tailored approaches to ensure that JV outcomes align with community priorities.
Discussion/originality:
This study offers a novel application of CHM to the context of wildlife tourism, moving beyond socioeconomic impact assessments to explore psychological and contextual drivers of community acceptability of JVs. Our findings inform policy, conservation and investment strategies aimed at fostering household-level engagement strategies that can ensure equitable access to benefits, strengthen trust and sustainable wildlife tourism JVs, with implications for enhancing rural community participation, economic growth and conservation outcomes.
1 Introduction
Wildlife tourism is increasingly recognized as a mechanism for achieving sustainable conservation and rural development goals, particularly in sub-Saharan Africa (; ; ). It includes both non-consumptive activities, such as wildlife viewing, photography and birdwatching and consumptive practices like trophy hunting and recreational fishing (; ). In countries like Tanzania, where tourism is predominantly wildlife-based and primarily occurs within Protected and Conserved Areas (PCAs), the industry plays a crucial role in the national economy (). For instance, in 2019, tourism accounted for 10.7% of the national Gross Domestic Product (GDP) and supported more than 1.5 million jobs ().
Despite its economic significance, wildlife tourism in Tanzania continues to face persistent challenges, particularly regarding equitable, sustainable benefit sharing and community participation (). Many communities living adjacent to PCAs remain marginalized, with limited involvement in tourism governance and restricted access to natural resources (; ). These dynamics not only foster local resentment but also undermine the long-term legitimacy and sustainability of conservation initiatives ().
In response, Joint ventures (JVs) between rural communities and private investors have emerged as a potential solution to address these imbalances (). JVs are formal partnerships designed to promote long-term local participation in wildlife tourism enterprises and ensure a more equitable distribution of economic and social benefits (; ; ). These partnerships may include revenue-sharing agreements, lease agreements or community-owned lodges and are often facilitated within Wildlife Management Areas (WMAs) (; ; ). WMAs are zones of village land set aside for wildlife conservation and recreational activities involving wildlife ().
In theory, wildlife tourism JVs can offer a dual benefit: enhancing sustainable conservation outcomes while simultaneously supporting rural livelihoods through employment, income generation, and improved social services (; ). Investors contribute capital, technical expertise and capacity building, thereby strengthening the viability of community-based conservation models (; ; Synman et al., 2023). Evidence from Namibia (Torra conservancy), Kenya (Laikipia), Botswana (Okavango Community Trust), Nigeria (Obudu Mountain) and Tanzania (Mwiba Ranch and Kilimanjaro National Park) show that such partnerships can sustainably deliver tangible local benefits (; ; ; ). Yet, the implementation of JVs in wildlife tourism is not without contention. Issues such as insecure tenure, limited transparency, displacement of people and the erosion of traditional livelihoods raise concerns about power asymmetries and the level of inclusion, ultimately diminishing local support for wildlife tourism initiatives (; ). For JVs to succeed in the long-term, they must be perceived as fair, legitimate and aligned with community incentives ().
This illustrates the centrality of acceptability, defined as the level of community support and perceived legitimacy of an initiative, shaped by how well it aligns with local needs, rights and expectations (). Acceptability is not static; it evolves through lived experience, shifting socio-economic conditions and changing perceptions of benefits (). Understanding the factors that predict rural communities’ acceptability of JVs is therefore vital, as acceptability plays a central role in determining the sustainability of wildlife conservation and partnerships (). This is particularly important and challenging for wildlife tourism management, as increasing demand for JVs on communal lands raises concerns about equitable benefit sharing, participation and natural resource use among local communities (; ). Acceptability is therefore considered a predictor of individuals’ willingness to support or engage with wildlife tourism ventures and support conservation initiatives (; ; ). Individuals can engage in informal local microenterprises to provide goods and services to tourists, such as handicrafts, security guards in lodges, local guidance on cultural activities, and perform traditional dances to entertain tourists (; ). While previous studies have examined socioeconomic impacts of wildlife tourism across multiple contexts and demographic groups (; ; ; ), relatively few have explicitly focused on the factors shaping community acceptability of wildlife tourism JVs. This study therefore addresses a specific knowledge gap by investigating how socio-demographic variables (e.g., gender, age, education level, WMA and residence time), wildlife related benefit factors (e.g., employment, financial opportunities, support on public infrastructure) and conservation related factors (e.g., wildlife protection, mitigation of human wildlife conflicts and perceived increase in wildlife tourism activities) may predict acceptability of wildlife tourism JVs among rural communities in northern Tanzania, a region marked by diverse land-uses, complex governance structures and rich biodiversity (; ; ; ). By assessing community perceptions across multiple WMAs, the study contributes empirical evidence to inform policy and guide more inclusive, equitable and sustainable investment in wildlife tourism. To achieve this, the study is guided by the following questions:
RQ1: How do rural communities’ perceptions of wildlife tourism benefits and conservation-related factors influence the acceptability of wildlife tourism JVs?
RQ2: How do demographic characteristics shape rural communities’ acceptability of wildlife tourism JVs?
2 Theoretical framework
Community support is essential for the success of wildlife tourism JVs, particularly in rural areas where they impact both conservation and livelihoods (). This study adopts the Cognitive Hierarchy Model (CHM; Figure 1) adapted from and to conceptualize acceptability as a cognitive process influenced by individual values, beliefs, perceptions and attitudes. According to CHM, core values such as equity and economic security shape beliefs, which in turn influence perceptions of benefit distributions. These perceptions inform attitudes toward JVs and guiding behavioural responses such as acceptance, participation or resistance. Acceptability thus emerges as a psychological and social outcome of this progression (). Demographic factors (e.g., age, gender, education, residency time) and livelihood conditions moderate belief formation, while feedback from lived experiences can reinforce or reshape perceptions and attitudes (; ).
Figure 1
For instance, individuals may view JV as acceptable if they believe benefits are equitably distributed and contribute to local development (
3 Materials and methods
3.1 Study area and context
This study was conducted in the semi-arid ecosystem of northern Tanzania, within three WMAs: Burunge (617 km²), Randilen (312 km²) and Enduimet (751.4 km²), all characterized by Acacia-Commiphora woodlands and grasslands (Figure 2). Located in Arusha and Manyara regions, these WMAs support both consumptive (e.g., trophy hunting) and non-consumptive (e.g., photographic safaris) forms of wildlife tourism. Burunge WMA, with ten member villages, borders Lake Manyara and Tarangire National Parks. Randilen WMA, consisting of six villages, shares a boundary with Tarangire, while Enduimet WMA, encompassing nine villages, lies adjacent to Kilimanjaro National Park in Tanzania and Amboseli National Park in Kenya. These WMAs form a critical ecological zone for regional tourism and conservation.
Figure 2

Location of the study area in northern Tanzania, showing the three wildlife management areas and study villages.
Between 2012 and 2022, population density increased from approximately 32 to 51 people per km² in Manyara, and from 42 to 62 people per km² in Arusha (
At the Institutional level, WMAs are managed by Authorized Associations (AAs), community-based organizations responsible for wildlife conservation, tourism management and protecting community interests (
3.2 Study design and sampling procedure
The study employed a mixed-methods approach to strengthen both the depth and reliability of findings and to establish a robust link between research methods and observed socioeconomic outcomes. From November 2022 to January 2023, a household survey was conducted across nine-member villages, three from each of the selected WMAs. Villages were purposively selected based on their primary livelihood strategies, particularly agropastoralism and proximity to the WMA boundary. The selected villages included: Olasiti, Mwada, and Sangaiwe in Burunge WMA; Mswakini Chini, Mswakini Juu and Naitolia in Randilen WMA; and Tingatinga, Ngereyani and Ilidonyo in Enduimet WMA.
A systematic sampling technique was applied using the 1st, 3rd and 5th household sequence as recommended by (
Prior to data collection, research clearance was obtained from the Tanzanian Commission for Science and Technology (COSTECH), under Permit No. 2022-818-NA-2022-344, along with introductory letters from Babati, Monduli and Longido District Councils. The lead researcher, a Tanzanian employee of the Tanzania Wildlife Management Authority (TAWA), trained in natural resources governance and community-based conservation, brought contextual insight into WMAs and local governance. To minimize potential interview bias and enhance cultural sensitivity, six native speakers were recruited and trained as research assistants. Their fluency in local languages and familiarity with cultural norms helped in building rapport and trust, particularly in WMAs where perceptions of wildlife tourism ventures are often varied and contested. Regular reflections and debriefing sessions were used to examine power dynamics, positional advantages and interpretation of respondents’ perceptions, thereby strengthening the credibility and ethical integrity of the research process.
3.3 Data collection
Data were collected using a structured questionnaire administered to adult household members aged 18 years and above. The questionnaire was initially developed in English and translated into Kiswahili to ensure linguistic clarity and consistency. A forward and back translation process was used to validate content and maintain consistency (
The questionnaire was piloted with 10 participants in Olasiti Village (Burunge WMA) to assess clarity and reliability. Based on the pilot feedback, adjustments were made such as rewording items, changing response options and improving the overall flow of questions. The final version used five-point Likert-type scales, each corresponding to a single statement with standardized response categories, allowing consistent responses across participants and quantitative analysis. As
We collected data from 548 respondents, of which 214 (39%) were from Burunge WMA, 159 (32%) from Randilen WMA and 175 (29%) from Enduimet WMA. The questionnaire collected demographic attributes, including gender, age, education level, residence time in the village, income levels and WMA of residence. To examine the acceptability of wildlife tourism JVs participants were asked to respond to items in the following areas; (i) employment opportunities (e.g., jobs in lodges and photographic tourism); (ii) support for public infrastructure (e.g., schools, boreholes, village offices and healthcare facilities); (iii) support for local microenterprises (e.g., income-generating projects); (iv) investors contributions to wildlife protection; (v) investors’ effort to support mitigation of human-wildlife conflicts in the villages; and (vi) access to financial opportunities (e.g., sale of crafts and diary or farm products to tourists’ lodges or camps). Respondents also rated the overall acceptability of their WMAs to attract more JVs in wildlife tourism, assessed the level of community involvement in tourism activities and their willingness to engage with future investors in the villages.
Ratings for each item were recorded on a five-point Likert-type scale: Very Unacceptable, Unacceptable, Neutral, Acceptable, Very Acceptable. Responses marked as “I don’t know” were treated as missing data. The term “accept” was used to capture respondents’ acknowledgement that these contributions or activities occur and provide benefits, rather than simply their willingness to receive them.
In addition to the survey, 20 key informant interviews were conducted with purposively selected individuals knowledgeable in WMA governance, wildlife tourism and rural development. Key informants included WMA leaders (3), village game scouts (5), village leaders (2), elders (5), district wildlife officers (2), and tour guides (3). The key informant interviews followed a semi-structured checklist aligned with the study objectives but allowed for open-ended discussion. Topics explored included: types of wildlife tourism benefits such as employment, provision of social services and livelihood support, including awareness on the role and responsibility of wildlife tourism investors; community participation in decision-making processes; and distribution of benefits and socioeconomic impacts. Of the 20 key informants, six (30%) were female, reflecting the male-dominated composition of leadership and technical roles in WMAs and WBT, which may influence the representation of women’s perspectives. To strengthen validity, WMA financial records were reviewed to track benefit flows and support qualitative findings (see Supplementary Table S2).
3.4 Data analysis
We used an ordinal cumulative link mixed model (CLMM) in R (version 4.2.3) to examine factors influencing the acceptability of JVs within WMAs. We measured JV acceptability using five-point Likert-type scales, with participants rating responses from “Very unacceptable” to “Very acceptable”. A full model was initially fitted using a comprehensive set of predictors grouped into three categories: (i) socio-demographic variables: age, gender, education level, WMA of residence and residence time in the village; (ii) wildlife related benefit factors: employment, financial opportunities, public infrastructure, support for local microenterprises; and (iii) perceived conservation-related acceptability factors: community involvement, mitigation of HWC, wildlife protection and perceived increase in tourism activities in the village.
To enhance model parsimony and interpretability, a simplified model was created by removing statistically insignificant variables from the full model. The final model included the following key predictors: WMA of residence, education level, perceived increase in tourism activities in the villages, HWC mitigation, financial opportunities, public infrastructure, support for local microenterprises, and wildlife protection. We incorporated a random household-level intercept to account for intra-household correlation. Household income was excluded as a predictor because income data were incomplete and potentially unreliable, with many respondents unable or unwilling to report exact amounts. Future research might consider alternative methods to obtain a more accurate measure of household economic status.
We also performed Likelihood Ratio Tests (LRTs) to determine whether the excluded predictors significantly improved model fit, which they did not. Models were fitted using the “ordinal” package (
In addition to quantitative modelling, qualitative data from key informant interviews were analyzed using thematic content analysis. This method organized responses into themes and concepts aligned with the study’s objectives. A hybrid coding approach was adopted, combining deductive coding based on predefined themes (benefit sharing, community involvement, and socio-economic outcomes) and inductive coding to identify emerging issues and local perspectives. This approach facilitated a deeper contextual understanding of the survey findings and enabled us to gain deeper insights into both quantitative and qualitative data, enhancing the reliability and richness of the overall analysis through narratives from local leaders and experts.
4 Results
The study sample included 59% males and 41% females. The majority were middle-aged, between 30 and 40 years old, with an average age of 40 years (median = 39 years). Most respondents (72.3%) had lived in the area for over ten years, and 61.5% had attained primary level education. Livelihoods were primarily agriculture and livestock keeping. Household sizes ranged from 2 to 17 people, with a mean and median of 6 people per household. Reported monthly household incomes generally ranged between USD $300 and $500, with a mean income of $320 (Table 1). Table 2 provides a summary of the descriptive statistics for all key study variables.
Table 1
| Characteristic | Burunge | Enduimet | Randilen | Respondents |
|---|---|---|---|---|
| Sample size = 548 | ||||
| 214 (39.0%) | 159 (29.0%) | 175 (32%) | 548 | |
| Gender | ||||
| Male | 91 (16.6%) | 77 (14.0) | 58 (10.6%) | 226 (59.1%) |
| Female | 123 (22.4%) | 82 (14.9%) | 117 (21.3%) | 322 (40.8%) |
| Age category: How older are you? | ||||
| 18-30 | 52 (9.4%) | 43 (7.8%) | 59 (10.7%) | 154 (28.1%) |
| 31-40 | 65 (11.8%) | 39 (7.1%) | 56 (19.2%) | 160 (29.1%) |
| 41-50 | 62 (11.3%) | 46 (8.4%) | 36 (6.5%) | 144 (26.3%) |
| 51-60 | 23 (4.2%) | 24 (4.4%) | 17 (3.1%) | 64 (11.7%) |
| 61-70 | 8 (1.4%) | 4 (0.7%) | 5 (0.9%) | 17 (3.1%) |
| Over 70 | 4 (0.7%) | 3 (0.5%) | 2 (0.4%) | 9 (1.6%) |
| Household size: What is the number of people in your household? | ||||
| 1-5 | 67 (12.2%) | 27 (4.9%) | 42 (7.6%) | 136 (24.8%) |
| 6-10 | 116 (21.2%) | 94 (17.1%) | 105 (19.2%) | 315 (57.5%) |
| 11-15 | 29 (5.2%) | 31 (5.6%) | 21 (3.8%) | 81 (14.7%) |
| over 15 | 2 (0.3%) | 7 (1.2%) | 7 (1.2%) | 16 (2.9%) |
| Education level: What is the highest level of formal education you have completed? | ||||
| No formal education | 20 (3.6%) | 44 (8.0%) | 46 (8.4%) | 110 (20.1%) |
| Primary school | 155 (28.3%) | 95 (17.3%) | 97 (17.7%) | 337 (61.5%) |
| Secondary school | 31 (5.6%) | 17 (3.1%) | 28 (5.1%) | 76 (13.8%) |
| College or University | 8 (1.4%) | 2 (0.4%) | 5 (0.9%) | 15 (2.7%) |
| Residence time: How long have you lived in this village? | ||||
| Short stay (less than 5 years) | 25 (4.5%) | 26 (4.7%) | 37 (6.5%) | 88 (16.0%) |
| Medium stay (between 5 and 10years) | 16 (2.9%) | 41 (7.4%) | 7 (1.2%) | 64 (11.6%) |
| Long stay (over 10years) | 173 (31.5%) | 92 (16.8%) | 131 (23.9%) | 396 (72.3%) |
| Livelihood: What is your main source of livelihood? | ||||
| Agriculture | 58 (10.6%) | 11 (2.0%) | 5 (0.9%) | 74 (13.5%) |
| Formal employment | 9 (1.6%) | 5 (0.5%) | 2 (0.4%) | 16 (2.9%) |
| Livestock keeping | 8 (1.4%) | 66 (12.0%) | 7 (1.2%) | 81 (14.8%) |
| Livestock keeping and Agriculture | 103 (18.7%) | 67 (12.2%) | 159 (29.0%) | 329 (60.0%) |
| Petty business and artwork | 36 (6.5%) | 10 (1.8%) | 2 (0.4) | 48 (8.7%) |
| Income: What is your approximate annual income? | ||||
| Low income (less than $300 monthly) | 77 (14.0%) | 62 (11.3%) | 57 (10.4%) | 196 (35.8%) |
| Medium income ($300-500) | 130 (23.7%) | 54 (9.8%) | 116 (21.2%) | 300 (54.7%) |
| High income (over $500) | 7 (1.2%) | 43 (7.8%) | 2 (0.4%) | 52 (9.5%) |
Socio-demographic characteristics of respondents (n=548).
Table 2
| Study variable | Burunge | Enduimet | Randilen | Respondents |
|---|---|---|---|---|
| Sample size (n=548) | ||||
| 214 (39.0%) | 159 (29.0%) | 175 (32%) | 548 (100%) | |
| Joint ventures: To what extent do you accept that WMAs that already have JVs with WT investors attract more JVs? | ||||
| Very unacceptable | 15 (2.7%) | 5 (0.9%) | 26 (4.7%) | 46 (8.4%) |
| Un acceptable | 23 (4.2%) | 10 (1.8%) | 26 (4.7%) | 59 (10.8%) |
| Neutral | 3 (0.5%) | 0 (0%) | 3 (0.5%) | 6 (1.1%) |
| Acceptable | 124 (22.6%) | 85 (15.5%) | 79 (14.4%) | 288 (52.5%) |
| Very acceptable | 41 (11.1%) | 59 (10.8%) | 41 (7.5%) | 141 (25.7%) |
| I don’t know | 8 (1.4%) | 0 (0%) | 0 (0%) | 8 (1.4%) |
| Community involvement: To what extent do you accept that local communities participate in decision-making processes related to WT investments? | ||||
| Very unacceptable | 12 (2.2%) | 1 (0.2%) | 14 (2.5%) | 27 (4.9%) |
| Un acceptable | 6 (1.1%) | 5 (0.9%) | 3 (0.5%) | 14 (2.5%) |
| Neutral | 7 (1.3%) | 9 (0%) | 6 (1.1%) | 22 (4.0%) |
| Acceptable | 96 (17.5%) | 75 (13.0%) | 89 (16.2%) | 260 (47.4%) |
| Very acceptable | 93 (16.9%) | 42 (7.7%) | 62 (11.3%) | 197 (35.9%) |
| I don’t know | 0 (0%) | 27 (4.9%) | 1 (0.2%) | 28 (5.1%) |
| Tourism in the villages: To what extent do you accept seeing more tourism activities happening in your villages? | ||||
| Very unacceptable | 13 (2.4%) | 1 (0.2%) | 16 (2.9%) | 30 (5.5%) |
| Un acceptable | 17 (3.1%) | 6 (1.1%) | 11 (2.0%) | 34 (6.2%) |
| Neutral | 1 (0.2%) | 0 (0%) | 7 (1.3%) | 8 (1.5%) |
| Acceptable | 91 (16.6%) | 65 (11.9%) | 82 (14.9%) | 238 (43.4%) |
| Very acceptable | 92 (16.8%) | 56 (10.2%) | 53 (9.7%) | 201 (36.7%) |
| I don’t know | 0 (0%) | 31 (5.6%) | 6 (1.1%) | 37 (6.7%) |
| Financial opportunities: To what extent do you accept that WT provides access to financial opportunities? | ||||
| Very unacceptable | 27 (4.9%) | 14 (2.5%) | 32 (5.8%) | 73 (13.3%) |
| Un acceptable | 24 (4.4%) | 19 (3.5%) | 29 (5.3%) | 72 (13.1%) |
| Neutral | 1 (0.2%) | 3 (0.5%) | 7 (1.3%) | 11 (2.0%) |
| Acceptable | 122 (22.3%) | 55 (10.0%) | 84 (15.3%) | 261 (47.6%) |
| Very acceptable | 33 (6.0%) | 46 (8.4%) | 22 (4.0%) | 101 (18.4%) |
| I don’t know | 7 (1.3%) | 22 (4.0%) | 1 (0.2%) | 30 (5.5%) |
| Support microenterprises: To what extent do you accept that WT supports local microenterprises, like curio shops and women’s groups? | ||||
| Very unacceptable | 8 (1.4%) | 7 (1.3%) | 19 (3.5%) | 34 (6.2%) |
| Un acceptable | 14 (2.5%) | 29 (5.3%) | 13 (2.4%) | 56 (10.2%) |
| Neutral | 0 (0%) | 2 (0.4%) | 8 (1.5%) | 10 (1.8%) |
| Acceptable | 135 (24.6%) | 69 (12.6%) | 91 (16.6%) | 295 (53.8%) |
| Very acceptable | 57 (10.4%) | 49 (8.9%) | 44 (8.0%) | 150 (27.4%) |
| I don’t know | 0 (0%) | 3 (0.5%) | 0 (0%) | 3 (0.5%) |
| Public infrastructure: To what extent do you accept that WT JVs support public infrastructure development projects like schools or roads? | ||||
| Very unacceptable | 20 (3.6%) | 4 (0.7%) | 19 (3.5%) | 43 (7.8%) |
| Un acceptable | 34 (6.2%) | 29 (5.3%) | 13 (2.4%) | 76 (13.9%) |
| Neutral | 0 (0% | 7 (1.3%) | 8 (1.4%) | 15 (2.7%) |
| Acceptable | 113 (20.6%) | 71 (12.9%) | 91 (16.6%) | 275 (50.2%) |
| Very acceptable | 47 (8.6%) | 48 (8.7%) | 44 (8.0%) | 139 (25.4%) |
| I don’t know | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Lodges buying local products: To what extent do you accept that tourist lodges purchase local products from nearby villages. | ||||
| Very unacceptable | 19 (3.5%) | 8 (1.4%) | 12 (2.2%) | 39 (7.1%) |
| Un acceptable | 65 (11.8%) | 40 (7.2%) | 60 (10.9%) | 165 (30.1%) |
| Neutral | 94 (17.2%) | 23 (4.2%) | 64 (11.7%) | 181 (33.0%) |
| Acceptable | 30 (5.5%) | 53 (9.7%) | 22 (4.0%) | 105 (19.2%) |
| Very acceptable | 6 (1.1%) | 35 (6.4.0%) | 16 (2.9%) | 57 (10.4%) |
| I don’t know | 0 (0%) | 0 (0%) | 65 (11.8%) | 65 (11.8%) |
| Mitigating HWC: To what extent do you accept that WT investors contribute to mitigating human-wildlife conflicts in your village? | ||||
| Very unacceptable | 24 (4.4%) | 9 (1.6%) | 13 (2.4%) | 46 (8.4%) |
| Unacceptable | 11 (2.0%) | 43 (7.8%) | 75 (13.7%) | 229 (23.5%) |
| Neutral | 109 (19.9%) | 27 (4.9) | 30 (5.5%) | 166 (30.3%) |
| Acceptable | 38 (6.9%) | 15 (2.7%) | 36 (6.6%) | 89 (16.2%) |
| Very acceptable | 17 (3.1%) | 14 (2.5% | 20 (3.6%) | 51 (34.6%) |
| I don’t know | 15 (2.7%) | 9 (1.6%) | 0 (0%) | 24 (4.4%) |
| Employment opportunities: To what extent do you accept that photo tourism contributes to local employment o opportunities? | ||||
| Very unacceptable | 3 (0.5%) | 2 (0.4%) | 0 (0.0%) | 5 (0.9%) |
| Unacceptable | 28 (5.1%) | 21 (3.6%) | 48 (8.7%) | 97 (17.7%) |
| Neutral | 26 (4.7%) | 28 (4.4%) | 37 (6.7%) | 91 (16.6%) |
| Acceptable | 150 (27.4%) | 65 (11.9%) | 85 (15.5%) | 300 (54.7%) |
| Very acceptable | 7 (0.9%) | 32 (5.8%) | 5 (0.9%) | 44 (8.0%) |
| I don’t know | 0 (0%) | 11 (2.0%) | 0 (0%) | 0 (0%) |
Community responses on the extent to which Wildlife tourism joint venture activities occur or provide local benefits (n=548).
The majority of the respondents, Randilen (79%), Burunge (80%) and Enduimet (93%) agreed on the acceptability of JVs in increasing future wildlife tourism activities within the villages. Over two-thirds of respondents: Enduimet (69%), Randilen (77%) and Burunge (80%) accepted the support for public infrastructure projects in the villages from JVs. The least acceptable was Burunge (20%), Enduimet (23%) and Randilen (32%) on JVs’ support for efforts to mitigate human wildlife conflicts caused by dangerous and problematic wild animals (Figure 3). At the other end of the scale, however, Randilen (45%), Burunge (51%) and Enduimet (69%) communities were somewhat divided on the acceptability of JVs in enhancing wildlife protection in the areas.
Figure 3

Distribution of factors affecting the acceptability of joint ventures. Bars represent the respondents’ acceptability of the factors, and colours represent responses. Percentages represent the combined proportion of respondents.
The ordinal Cumulative Link Mixed Model (CLMM; Table 3) revealed that the acceptability of JVs was significantly predicted by the effects of perceived financial opportunities, contributions to public infrastructure, support for local microenterprises, and mitigation of human-wildlife conflicts. Respondents’ WMA of residence and education level also significantly predicted JV acceptability. Specifically, respondents who rated JVs as unacceptable (estimate = 1.52; p < 0.001); neutral (estimate 2.27; p < 0.004), or acceptable (estimate =1.98; p<0.001) associated their ratings with perceived financial opportunities. Respondents rated JVs as very acceptable for increasing future tourism activities in the villages (estimate = 2.88, p<0.001) and as neutral for support to mitigate human-wildlife conflicts (estimate = 1.12, p <0.001). Also, respondents evaluated JVs positively for contributions to public infrastructure, rating JVs as acceptable (estimate = 1.44, p < 0.033) or very acceptable (estimate 2.43, p <0.001) and for support to local microenterprises as neutral (estimate =2.52, p< 0.046) or very acceptable (estimate = 2.13, p <0.003). Although respondents who perceived investors’ contribution to wildlife protection as neutral (estimate = -1.27, p<0.005) were associated with reduced acceptability of JVs, those who rated it very acceptable (estimate = 0.71, p <0.001) showed a strong positive association (see Table 4 & Figure 4). Regionally, respondents from Burunge WMA rated JVs lower (estimate = -0.68, p < 0.015) than those in Enduimet and Randilen. Finally, respondents with primary education rated JVs higher (estimate 0.49, p < 0.048) than those with no formal education (Figure 5). The LRT revealed that the reduced model provided a significantly better fit compared to the full model (χ² = 38.91, df = 20, p < 0.003). The random intercept showed that household-level factors strongly shaped respondents’ perceptions of JVs (σ² = 2.35, Intraclass Correlation Coefficient (ICC) = 0.41). Variables such as gender, residence time, employment opportunities, and community involvement did not significantly predict JV acceptability (Table 1).
Table 3
| Variable | Estimate | Std. error | Z value | Pr (>|z|) |
|---|---|---|---|---|
| WMA (Randilen) | -0.299 | 0.292 | -1.022 | 0.307 |
| WMA (Burunge) | -0.679 | 0.280 | -2.427 | 0.015* |
| Education level (Primary school) | 0.498 | 0.251 | 1.979 | 0.048* |
| Education level (Secondary school) | 0.329 | 0.312 | 1.054 | 0.292 |
| Education level (College or university) | 0.273 | 0.613 | 0.446 | 0.655 |
| Tourism in the villages (Unacceptable) | 0.120 | 0.743 | 0.162 | 0.872 |
| Tourism in the villages (Neutral) | -0.231 | 1.065 | -0.217 | 0.828 |
| Tourism in the villages (Acceptable) | 0.946 | 0.686 | 1.378 | 0.168 |
| Tourism in the villages (Very acceptable) | 2.881 | 0.719 | 4.010 | 0.001* |
| Mitigate HWC (Unacceptable) | 0.314 | 0.342 | 0.919 | 0.358 |
| Mitigate HWC (Neutral) | 1.122 | 0.410 | 2.736 | 0.001* |
| Mitigate HWC Acceptable | 0.523 | 0.392 | 1.332 | 0.183 |
| Mitigate HWC (Very Acceptable) | 0.935 | 0.501 | 1.867 | 0.062 |
| Financial opportunities (Unacceptable) | 1.518 | 0.416 | 3.645 | 0.001* |
| Financial opportunities (Neutral) | 2.268 | 0.798 | 2.843 | 0.004* |
| Financial opportunities (Acceptable) | 1.981 | 0.417 | 4.752 | 0.001* |
| Financial opportunities (Very acceptable) | 0.965 | 0.538 | 1.794 | 0.073 |
| Public infrastructure (Unacceptable) | 0.886 | 0.701 | 1.263 | 0.207 |
| Public infrastructure (Neutral) | 1.733 | 1.017 | 1.705 | 0.088 |
| Public infrastructure (Acceptable) | 1.444 | 0.678 | 2.129 | 0.033* |
| Public infrastructure (Very acceptable) | 2.427 | 0.747 | 3.249 | 0.001* |
| Local microenterprises (Unacceptable) | 1.095 | 0.648 | 1.689 | 0.091 |
| Local microenterprises (Neutral) | 2.516 | 1.261 | 1.995 | 0.046* |
| Local microenterprises (Acceptable) | 1.090 | 0.661 | 1.648 | 0.099 |
| Local microenterprises (Very acceptable) | 2.134 | 0.709 | 3.007 | 0.003* |
| Protect wildlife (Unacceptable) | 0.687 | 0.440 | 1.561 | 0.118 |
| Protect wildlife (Neutral) | -1.268 | 0.451 | -2.814 | 0.005* |
| Protect wildlife (Acceptable) | -0.231 | 0.375 | -0.618 | 0.537 |
| Protect wildlife (Very acceptable) | 0.718 | 0.256 | 2.807 | 0.001* |
Ordinal cumulative link mixed model results for factors predicting acceptability of joint ventures (n=548; p<0.05).
Table 4
| Theme | Summary of insights | Illustrative quote | Implication for acceptability of JVs |
|---|---|---|---|
| Perceived benefits of wildlife tourism such as income generation, improved infrastructure like schools, water facilities, clinics, village offices | Wildlife tourism is seen as potential source of income and infrastructure development such as construction of village offices, but benefits are unevenly distributed, with some areas benefiting more than others | “The tourism money helps build schools and village government offices, but not everyone sees the benefits.” WMA leader, Burunge WMA | Perceived inequities in benefit-sharing such as infrastructure development in the villages can reduce trust and the overall acceptability of JVs. |
| Benefit sharing | Fairness is a key concern; many informants expressed dissatisfaction with current distribution of benefits, particularly regarding villages annual income share from the WMA | “Our leaders are the ones who know about the distribution of benefits.” - Elder, Enduimet WMA | Lack of perceived fairness diminishes support for JVs and can hinder long-term community cooperation |
| Community engagement and decision-making | Many felt that local communities are excluded from decision-making process regarding the allocation of JVs | “We have no voice in decisions; it’s the government and WMA leaders who make the choices.” - Village Leader, Randilen WM | Exclusion from decision-making fosters resistance and weakens the sense of ownership. |
| Vulnerability to wildlife damages | Most informants confirmed that human-wildlife conflicts, particularly with elephants and hyenas, damage crops and livestock | “We lose our crops to elephants every year, and yet we never receive any compensation. It feels like no one cares about what we go through.”- Elder, Randilen | Unmet expectations regarding compensation for wildlife damages contribute to poverty, frustration and opposition to JVs. |
| Inclusion and transparency | Transparency in how revenues are used and who benefits is seen as essential. The informants highlighted the need for clearer, more inclusive communication through village meetings or representatives about financial benefits. | “Tourism gives us some jobs, but we still depend on farming and pastoralism.” -Village Leader, Enduimet | Inclusion and transparency could help to address economic concerns and continued community support for JVs. |
| Economic security and livelihoods | Despite the potential for increased income through wildlife tourism, many informants expressed concerns about the long-term sustainability of tourism driven economy. | “Tourism brings only short-term jobs to to a few of us, and even those come and go. In the end, we’re still left struggling with farming and livestock to make a living.”- Village Leader, Burunge WMA | Long-term economic concerns must be addressed to ensure continued community support for JVs. |
| Support for widlife protection (provision of patrol gear and awareness) | Communities and wildlife rangers emphasized that effective protection of wildlife depends on access to adequate patrol gear and sustained awareness programs. Participant felt that without proper equipment and education, conservation efforts remain limited and unsafe. | We want to protect the animals, but our rangers lack basic gear like boots and radios. If we had the right tools and more training, we could do so much more _ WMA leader Enduimet WMA | JVs that include tangible support such as providing petrol equipment and community awareness initiatives are likely to gain higher acceptance, as they demonstrate real commitment to local needs and shared responsibility to wildlife conservation. |
| Support for local enterprises | Informants generally are supportive of local microenterprises and tourism related business (e.g handcrafts and curio shops) but expressed concern over lack of capital and market access. | “We put effort into making crafts, but tourists barely buy them. Honestly, even the hotels here hardly support us; they buy so little, it feels like we’re just left out.”- Village Leader, Burunge WMA | Support for local enterprises could strengthen community buy-in, but market access and support structures need improvement. |
| Sustainability and long-term outcomes | Stressed the importance of sustainable tourism practices, worried about the depletion of natural resources including pastureland Community support wildlife conservation efforts in the WMA | “Tourism shouldn’t just take from us or damage our environment, our wildlife, or pasture lands, our livestock depend on. These are the very resources we rely on to survive, to raise our animals, send our children to school, and provide for our families.”- Elder, Randilen WMA | Sustainable wildlife tourism practices are necessary for maintaining community support and biodiversity. Depletion of natural resources like pastureland affect livestock productivity in the area |
Key informant insights on the acceptability of JVs in wildlife tourism.
Figure 4

Perceived acceptability of joint ventures, panelled by specific perceived benefits. (A) Employment, (B) Microenterprises, (C) Infrastructure, and (D) Financial opportunities. Points represent model-predicted effects with 95% Confidence Intervals.
Figure 5

Model-based predicted acceptability of joint ventures by (A) age and (B) education level. Points represent model-derived predicted effects with 95% Confidence Intervals.
The key informant interviews revealed mixed acceptability of benefit sharing, insufficient community involvement and persistent human-wildlife conflicts. While wildlife tourism is broadly accepted as a potential driver of socioeconomic development, many key informants emphasized that the uneven distribution of benefits, limited transparency could undermine the acceptability of JVs (Table 4).
5 Discussion
Community acceptability of JVs in WMAs can be understood through their perceived alignment with local development priorities that influence both livelihoods and conservation outcomes. Consistent with the Cognitive Hierarch Model (CHM), acceptability is generally higher when JVs are perceived as delivering socioeconomic benefits, such as increased wildlife tourism activities in the villages, enhanced financial opportunities, improved public infrastructure and support for local microenterprises. However, limited recognition or awareness of investors’ contributions to wildlife protection and efforts to mitigate human-wildlife conflicts may undermine community willingness to accept and support JVs. These findings align with previous research emphasizing that the provision of tangible and equitable benefits is essential for gaining and maintaining local support for conservation-oriented wildlife tourism initiatives (
Moreover, it is important to recognize the highly politicized nature of aligning JV models with local community development and conservation outcomes (
The growing perceived acceptability of WMAs as attractive sites for JVs in wildlife tourism reflects rural communities’ increasing demand for tourism activities that enhance the economic viability of partnerships. The basic premise is that rural communities are actively seeking to participate in tourism-related enterprises and capitalize on the economic opportunities provided by the wildlife tourism value chain. This is consistent with previous research highlighting how wildlife tourism positively influences rural livelihoods and shapes communities’ perceptions of JVs (
Beyond the socio-economic benefits, JVs have also assisted in wildlife protection. Although only a small proportion of respondents expressed low acceptability of JVs, this group remains important, as even a small number of people opposing wildlife tourism initiatives can substantially undermine conservation efforts by engaging in illegal activities that threaten wildlife species. Key informants’ interviews revealed that JVs actively participate in anti-poaching operations, provide patrol equipment for village game scouts and promote environmental conservation awareness in the surrounding communities. However, research in these areas indicates that illegal activities, including poaching and habitat destruction, remain prevalent, posing a major challenge to many species, including those targeted by wildlife tourism for trophy hunting and photographic tourism (
Persistent Human-wildlife conflicts in the villages continue to reduce community acceptability of JVs. Rural communities often suffer from wildlife damage such as livestock predation and crop destruction (
Variations in community acceptability of JVs across WMAs illustrate the importance of local context in shaping perceptions. Respondents from Burunge WMA expressed lower acceptability of JVs compared to those in Enduimet and Randilen, which may reflect limited community involvement in benefit-sharing and decision-making processes (
In addition to regional differences, household-level factors also play a key role in shaping the perceived acceptability of JVs. Variations in household priorities, exposure to wildlife tourism opportunities and social networks can influence how community members evaluate the costs and benefits of participating in JVs or other conservation initiatives within WMAs (
Education can shape how communities engage with JVs in wildlife tourism by supporting understanding of benefit sharing, access to information, and participation in local governance (
6 Conclusions
This study advances the understanding of JV acceptability in wildlife tourism by examining the interplay between perceived benefits, socio-economic conditions and local context, using the Cognitive Hierarchy Model (CHM) as its theoretical foundation. The model conceptualizes acceptability as a dynamic cognitive process shaped by perception of benefits, community experiences with JVs and the local realities of human wildlife interactions. The findings reveal that the success of JVs in WMAs depends not only on the delivery of benefits, such as financial opportunities, improved infrastructure and stimulation of microenterprises or small-scale businesses that enhance community participation in the wildlife tourism value chain, but also on how these benefits are perceived and aligned with rural community priorities.
While previous studies have acknowledged the role of wildlife tourism in generating income and employment opportunities for marginalized groups such as women and youth (
This study offers a novel examination of rural communities’ acceptability of wildlife tourism JVs in WMAs in northern Tanzania. However, as with any research, it is subject to certain limitations. First, the study did not include Focus Group Discussions to capture collective or group-based perspectives on JVs; instead, it relied on individual experiences and perceptions at the household level. Second, the study did not assess potential negative impacts of JVs, such as land-use restrictions or costs associated with JV implementation in rural areas. Third, the use of a single-item five-point Likert-type scale to assess JV acceptability may limit the depth and reliability of understanding, as it does not capture multiple dimensions of respondents’ attitudes and perceptions. This omission may limit the ability to fully understand the spectrum of JV acceptability and the mitigation measures that have been applied. Therefore, caution should be exercised when generalizing the findings to other regions, as geographical variations and differing social contexts may influence outcomes. Future research should consider multi-item scales and additional qualitative approaches to provide a more comprehensive understanding of community trade-offs and the multifaceted implications of wildlife tourism initiatives.
7 Policy and empirical implications
The findings of this study provide valuable insights for policymakers and practitioners aiming to leverage wildlife tourism JVs as a means of enhancing rural livelihoods and promoting conservation. The results indicate that socioeconomic benefits such as support for local microenterprises, financial opportunities, public infrastructure development and the perceived growth of wildlife tourism activities within the villages are key determinants of individuals’ acceptability of JVs. The study further suggests that JVs play a vital role in enabling rural communities to engage in microenterprises and small businesses, allowing them to benefit from wildlife tourism, even in the absence of formal support or substantial resources. Therefore, policymakers should design and implement policies and programs that provide targeted incentives and support for local microenterprises, including entrepreneurial training, capacity building initiatives, access to credit and the establishment of market linkages. Moreover, policy efforts should aim to reduce regulatory barriers and reinforce local governance structures to enhance community participation in small-scale enterprises. This includes improving access to legal services, enforcing minimum wage standards and expanding social protection schemes that safeguard the well-being of those engaged in wildlife tourism-related activities.
Furthermore, policymakers should prioritize investments in rural infrastructure and basic services to create an enabling environment for long-term wildlife tourism development and improved livelihoods in rural areas. Evidence suggests that inadequate infrastructure and low education levels hinder rural communities’ engagement in wildlife tourism activities and their ability to benefit from JVs (
This study emphasizes that the variations in the acceptability of JVs among rural communities across WMAs, and even between households, can provide substantial evidence that local context matters. Recognizing socio-spatial diversity is therefore essential for tailoring JVs’ benefits to community needs, enhancing local support and sustaining conservation efforts. For instance, WMA authorities could organize regular conservation education programs and workshops to equip rural communities with the skills and knowledge necessary to participate effectively in wildlife tourism, as well as to share their experiences, challenges and solutions. Through these initiatives, WMA managers should also promote collaboration among communities, local entrepreneurs and investors to foster a sense of collective identity and shared purpose. This can be further strengthened by encouraging rural communities to initiate or engage in cooperative projects such as village savings and loan groups, which enhance social cohesion and financial resilience.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
Ethics statement
The Tanzanian Commission for Science and Technology (COSTECH) granted permission to conduct research (Ref: A.B.235/325/01/96). Permit number 2022-818-NA-2022-344. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
SK: Conceptualization, Writing – review & editing, Software, Investigation, Methodology, Formal analysis, Project administration, Writing – original draft, Resources, Funding acquisition, Data curation, Visualization, Validation. SM: Writing – review & editing, Supervision, Methodology, Conceptualization. DR: Writing – review & editing, Supervision, Validation, Methodology. SS: Writing – review & editing, Methodology, Investigation. AD: Writing – review & editing, Conceptualization, Investigation, Validation. LS: Conceptualization, Investigation, Methodology, Writing – review & editing. DH: Methodology, Supervision, Conceptualization, Investigation, Writing – review & editing, Validation, Formal analysis. NM: Validation, Methodology, Writing – review & editing, Investigation, Conceptualization, Supervision.
Funding
The author(s) declared that financial support was received for this work and/or its publication. SK received support from the Weatherby Foundation International (USA). DH received support from Jamma Conservation & Communities, Oppenheimer Generations Research and Conservation, and the BAND Foundation. DR acknowledges support from Jamma Conservation & Communities. AD acknowledges support from the Recanati Kaplan Foundation and Panthera. The remaining authors (SM, SS, LS, and NM) declare that they received no specific funding for this work.
Acknowledgments
We are grateful to all our participants, especially the local communities of Burunge, Randilen, and Enduimet WMAs. This includes research assistants who helped with questionnaire translation and data collection, and community members who generously devoted their time to questionnaires and Key informant Interviews (KII).
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author SS declared that they were an editorial board member of Frontiers, at the time of submission.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcosc.2025.1708398/full#supplementary-material
References
1
AkayezuP.NdagijimanaI.DushimumukizaM. C.BernhardK. P.GroenT. A. (2022). Community livelihoods and forest dependency: Tourism contribution in Nyungwe National Park, Rwanda. Front. Conserv. Sci.3. doi: 10.3389/fcosc.2022.1034144
2
AlexandreB.ReynaudE.OsiurakF.NavarroJ. (2018). Acceptance and acceptability criteria: A literature review. Cognition Technol. Work20, 165–177. doi: 10.1007/s10111-018-0459-1
3
BartelsL. (2016). “ Contested land in loliondo: the eastern border of the serengeti national park between conservation, hunting tourism, and pastorlism,” in Land Use Competition. Ecological, Economic and social perspectives, vol. 6 . Eds. NiewohnerJ.BrunsA.HostertP.KruegerT.NielsenJ. O.LutzJ.MullerD. ( Springer, Cham). doi: 10.1007/978-3-319-33628-2_9
4
BernardH. R. (2011). Research methods in anthropology: Qualitative and quantitative approaches. 5. ed (Plymouth, UK: ROWMAN & LITTLEFIELD PUBLISHERS, INC.).
5
BiruY.TessemaZ. K.UrgeM. (2017). Perception and attitude of pastoralists on livestock-wildlife interactions around Awash National Park, Ethiopia: Implication for biodiversity conservation. Ecol. Processes6, 13. doi: 10.1186/s13717-017-0081-9
6
BluwsteinJ.MoyoF.KicheleriR. (2016). Austere conservation: understanding conflicts over resource governance in Tanzanian wildlife management areas. Conserv. Soc.14, 218. doi: 10.4103/0972-4923.191156
7
BoerD.DjikD. (2016). Can Sustainable Tourism Achieve Conservations and Local Economic Development? The experience with nine business – community wildlife-tourism agreements in Northern Tanzania. Afr. J. Hosp. Tour. Leis.5, 1–19.
8
BrennerL. J.MetcalfE. C. (2020). Beyond the tolerance/intolerance dichotomy: Incorporating attitudes and acceptability into a robust definition of social tolerance of wildlife. Hum. Dimensions Wildlife25, 259–267. doi: 10.1080/10871209.2019.1702741
9
BrickerK. S.SnymanS. S. (2023). Editorial: Ecotourism models: identifying contributions to conservation and community. Front. Sustain. Tour.2, 1232666. doi: 10.3389/frsut.2023.1232666
10
ChristensenR. H. (2022). Ordinal-regression Models for Ordinal Data. R package version 2022.11-16. Computer Software. https://CRAN.R-Project.Org/Package=Ordinal.
11
EngelM. T.VaskeJ. J.MarchiniS.BathA. J. (2017). Knowledge about big cats matters: Insights for conservationists and managers. Wildlife Soc. Bull.41, 398–404. doi: 10.1002/wsb.798
12
ErikssonL.JohanssonM.MånssonJ.SandströmC.LiljebäckN.ElmbergJ. (2024). Novel insights into the cognitive, emotional, and experiential dimensions of stakeholder acceptance of wildlife management. Sci. Rep.14, 29479. doi: 10.1038/s41598-024-80661-2
13
HariohayK. M.MachaningaA. C.LyimoE. H.HunninckL.KidegheshoJ. R.RøskaftE. (2024). Can conservation-based incentives promote willingness of local communities to coexist with wildlife? A case of Burunge Wildlife Management Area, Northern Tanzania. Hum. Dimensions Wildlife30, 149–162. doi: 10.1080/10871209.2024.2333550
14
HawkinsM. C.ChengC.ElsworthG. R.OsborneR. H. (2020). Translation method is validity evidence for construct equivalence: Analysis of secondary data routinely collected during translations of the HLQ. 20.
15
HeneghanM. D.MorseW. C. (2019). Acceptability of management actions and the potential for conflict following human-black bear encounters. Soc. Natural Resour.32, 434–451. doi: 10.1080/08941920.2018.1556756
16
HervéM.HervéM. M. (2020). Package ‘RVAideMemoire. https://CRANRprojectorg/package=RVAideMemoire
17
IdowuO. (2021). The socio-economic importance of an ecolodge as a tool for sustainable tourism: A study of Obudu Mountain and resort, becheeve community, cross river state, Nigeria. Int. J. Sustain. Dev. Res.7, 41. doi: 10.11648/j.ijsdr.20210702.12
18
JamaO. M.DiriyeA. W.AbdiA. M. (2023). Understanding young people’s perception toward forestation as a strategy to mitigate climate change in a post-conflict developing country. Environment Dev. Sustainability25, 4787–4811. doi: 10.1007/s10668-022-02242-5
19
JaniD. (2018). Residents’ perception of tourism impacts in Kilimanjaro: An integration of the Social Exchange Theory66.
20
KaayaE.ChapmanM. (2017). Micro-credit and community wildlife management: complementary strategies to improve conservation outcomes in Serengeti National Park, Tanzania. Environ. Manage.60, 464–475. doi: 10.1007/s00267-017-0856-x
21
KegambaJ. J.SanghaK. K.WurmP.GarnettS. T. (2022). A review of conservation-related benefit-sharing mechanisms in Tanzania. Global Ecol. Conserv.33, e01955. doi: 10.1016/j.gecco.2021.e01955
22
KegambaJ. J.SanghaK. K.WurmP. A. S.GarnettS. T. (2023). Conservation benefit-sharing mechanisms and their effectiveness in the Greater Serengeti Ecosystem: Local communities’ perspectives. Biodiversity Conserv.32, 1901–1930. doi: 10.1007/s10531-023-02583-1
23
KicheleriR. P.MangewaL. J.NielsenM. R.KajembeG. C.TreueT. (2021). Designed for accumulation by dispossession: An analysis of Tanzania’s Wildlife Management Areas through the case of Burunge. Conserv. Sci. Pract.3, e360. doi: 10.1111/csp2.360
24
KicheleriR.TreueT.KajembeC. G.MomboM. F.NielsenR. M. (2019). “ Power struggles in the management of wildlife resources: the case of burunge wildlife management area, Tanzania,” in Wildlife Management—Failures, Successes and Prospects. Eds. KidegheshoJ. R.RijaA. A. ( IntechOpen). doi: 10.5772/intechopen.79521
25
KidegheshoJ. R.KimaroH. S.MayengoG.KisingoA. W. (2021). Will Tanzania’s wildlife sector survive the COVID-19 pandemic? Trop. Conserv. Sci.14, 19400829211012682. doi: 10.1177/19400829211012682
26
KiffnerC.ThomasS.SpeakerT.O’ConnorV.SchwarzP.KiokoJ.et al. (2020). Community-based wildlife management area supports similar mammal species richness and densities compared to a national park. Ecol. Evol.10, 480–492. doi: 10.1002/ece3.5916
27
KiffnerC.WennerC.LaVioletA.YehK.KiokoJ. (2015). From savannah to farmland: Effects of land-use on mammal communities in the T arangire– M anyara ecosystem, T anzania. Afr. J. Ecol.53, 156–166. doi: 10.1111/aje.12160
28
KitoleF. A.SesaboJ. K. (2024). Tourism-driven livelihood dynamics: A comprehensive empirical study of Mount Kilimanjaro National Park communities in Tanzania. Int. J. Geoheritage Parks12, 416–433. doi: 10.1016/j.ijgeop.2024.07.001
29
KothariC. R. (2019). Research methodology: Methods and Techniques. 4th Edition (New Delhi: New Age International Publishers), 414.
30
KyaraV. C.RahmanM. M.KhanamR. (2021). Tourism expansion and economic growth in Tanzania: A causality analysis. Heliyon7, e06966. doi: 10.1016/j.heliyon.2021.e06966
31
LugallaM. I.JacobsJ. P. A. M.WestermanW. (2024). What drives women entrepreneurs in tourism in Tanzania? J. Afr. Business25, 205–223. doi: 10.1080/15228916.2023.2168970
32
LwankomeziE. B.KisozaJ.Patrobas MhacheE. (2021). Benefit sharing in community based conservation programs: the case of Makao wildlife management area, Tanzania. East Afr. J. Educ. Soc. Sci.2, 41–50. doi: 10.46606/eajess2021v02i02.0074
33
MandaL.SalakoK. V.KatayaA.AffossogbeS. A. T.NjeraD.MgoolaW. O.et al. (2023). Co-management brings hope for effective biodiversity conservation and socio-economic development in Vwaza Marsh Wildlife Reserve in Malawi. Front. Conserv. Sci.4. doi: 10.3389/fcosc.2023.1124142
34
ManfredoM. J.BerlR. E.TeelT. L.BruskotterJ. T. (2021). Bringing social values to wildlife conservation decisions. Front. Ecol. Environ.19, 355–362. doi: 10.1002/fee.2356
35
MarikiS. B. (2016). Social impacts of protected areas on gender in West Kilimanjaro, Tanzania. Open J. Soc. Sci.04, 220–235. doi: 10.4236/jss.2016.43028
36
MartellJ. E. M.RodewaldA. D. (2025). Wildlife values can inform strategic conservation communication efforts. Hum. Dimensions Wildlife30, 182–200. doi: 10.1080/10871209.2024.2346100
37
MbiseP.F.RøskaftE. (2021). Can conservation incentives promote willingness to coexist with large carnivores in the eastern Serengeti ecosystem? Int. J. Biodiversity Conserv.13, 77–85. doi: 10.5897/ijbc2021.1490
38
MetcalfA. L.MetcalfE. C.BrennerL. J.NesbittH. K.PhelanC. N.LewisM. S.et al. (2024). The wildlife attitude-acceptability framework’s potential to inform human dimensions of wildlife science and practice. Hum. Dimensions Wildlife30, 1–15. doi: 10.1080/10871209.2024.2318330
39
MgonjaJ. T. (2023). Assessing Community Perceptions about the contributions and Impacts of Widlife Tourism to Rural Livelihoods: WMAs Perspective. Tanz. J. For. Nat. Conserv.92, 64–81.
40
MgonjaJ.UswegeD. (2022). Assessment of factors moderating community attitudes towards wildife tourism and conservation: A case of Ikona and Makao wildlife management area. Tanz. J. For. Nat. Conserv.91, 214–233.
41
MinjaG. S.SuhJ.TanY. (2023). Joint venture wildlife management of the Loliondo Game Controlled Area in Tanzania: A multi-criteria analysis. South Afr. Geographical J.105, 346–364. doi: 10.1080/03736245.2022.2129767
42
MmbagaN.TarimoJ.ModestJ. (2024). Contribution of wildlife tourism in improving local communities’ livelihood in Burunge Wildlife Management Area in Tarangire Manyara Ecosystem, Tanzania. Discover Global Soc.2, 85. doi: 10.1007/s44282-024-00109-w
43
MoyoF.FunkS.PretzschJ. (2017). Between policy intent and practice: negotiating access to land and other resources in Tanzania’s wildlife management areas. Trop. Conserv. Sci.10, 1940082917744167. doi: 10.1177/1940082917744167
44
MoyoF.IjumbaJ.LundJ. (2016). Failure by design? Revisiting Tanzania′s flagship wildlife management area burunge. Conserv. Soc.14, 232. doi: 10.4103/0972-4923.191160
45
NaidooR.GerkeyD.HoleD.PfaffA.EllisA. M.GoldenC. D.et al. (2019). Evaluating the impacts of protected areas on human well-being across the developing world. Sci. Adv.5, eaav3006. doi: 10.1126/sciadv.aav3006
46
National Bureau of Statistics. (2012). Basic demographic and socio-economic profile: Tanzania. https://www.nbs.go.tz/.
47
National Bureau of Statistics. (2022). The 2022 Population and Housing Census. https://sensa.nbs.go.tz/.
48
NgilangwaB.MeneyR.MsafiriC. (2018). Exploration of A future scene for community based tourism in the southern part of serengeti ecosystem: A case study of Mwiba wildlife ranch, Meatu, Tanzania. Int. J. Conserv. Sci. 9, 733–748.
49
PascualR.LiuP.BaldonadoJ.PascualA. G.MinaG. (2025). The Role of Education in Promoting Sustainability and Social Responsibility. Int. J. Environ. Sci.11.
50
RenL.LiJ.LiC.DangP. (2021). Can ecotourism contribute to ecosystem? Evidence from local residents’ ecological behaviors. Sci. Total Environ.757, 143814. doi: 10.1016/j.scitotenv.2020.143814
51
RijaA. A. (2022). Assessing population performance of hunted impala and wildebeest in Simanjiro Plains, Northern Tanzania. J. Forestry Nat. Conserv.91, 154–168.
52
RizzoloJ. B. (2023). Wildlife tourism and consumption. J. Sustain. Tourism31, 1181–1194. doi: 10.1080/09669582.2021.1957903
53
RylanceA.SpenceleyA. (2017). Reducing economic leakages from tourism: A value chain assessment of the tourism industry in Kasane, Botswana. Dev. South. Afr.34, 295–313. doi: 10.1080/0376835X.2017.1308855
54
SanareJ. E.ValliD.LeweriC.GlatzerG.FishlockV.TreydteA. C. (2022). A socio-ecological approach to understanding how land use challenges human-elephant coexistence in Northern Tanzania. Diversity14, 513. doi: 10.3390/d14070513
55
ShooA. ,. R.Kamili MtuiE.Modest KimaroJ.Robert KinaboN.Joseph LendiiG.KidegheshoJ. R. (2021). “ Wildlife management areas in Tanzania: vulnerability and survival amidst COVID-19,” in Managing Wildlife in a Changing World. Ed. KidegheshoJ. R. (Mweka, Moshi, Tanzania: IntechOpen). doi: 10.5772/intechopen.97396
56
SnymanS. (2014). Partnership between a private sector ecotourism operator and a local community in the Okavango Delta, Botswana: The case of the Okavango Community Trust and Wilderness Safaris. J. Ecotourism13, 110–127. doi: 10.1080/14724049.2014.980744
57
SnymanS.FitzgeraldK.BakteevaA.NgogaT.MugabukomeyeB. (2023). Benefit-sharing from protected area tourism: A 15-year review of the Rwanda tourism revenue sharing programme. Front. Sustain. Tour.1, 1052052. doi: 10.3389/frsut.2022.1052052
58
SpenceleyA.SnymanS. (2017). Can a wildlife tourism company influence conservation and the development of tourism in a specific destination? Tourism Hospitality Res.17, 52–67. doi: 10.1177/1467358416634158
59
SpenceleyA.SnymanS.RylanceA. (2019). Revenue sharing from tourism in terrestrial African protected areas. J. Sustain. Tourism27, 720–734. doi: 10.1080/09669582.2017.1401632
60
StrakaT. M.MillerK. K.JacobsM. H. (2020). Understanding the acceptability of wolf management actions: Roles of cognition and emotion. Hum. Dimensions Wildlife25, 33–46. doi: 10.1080/10871209.2019.1680774
61
StronzaA. L.HuntC. A.FitzgeraldL. A. (2019). Ecotourism for conservation. Annu. Rev. Environ. Resour. doi: 10.1146/annurevenviron-101718-033046
62
SumbaD.SynmanS.MasilonyaneT. (2021). The State of the Wildlife Economy in Tanzania (Kigali, Rwanda: African Leadership University, School of Wildlife Conservation).
63
United Republic of Tanzania (URT) (2018). Wildlife Conservation (Wildlife Management Areas) Regulations (Dares salaam, Tanzania: Govenment Printer).
64
URT (2023). National Wildlife management areas strategy, (2023-2033) (Dares salaam, Tanzania: Ministry of Natural Resources and Tourism), 62.
Summary
Keywords
community involvement, joint ventures, microenterprises, rural communities, wildlife conservation, benefit sharing
Citation
Kulunge SR, Mariki S, Roe D, Snyman SS, Dickman A, Sibanda L, Hare D and Mbije N (2026) Exploring the acceptability of wildlife tourism joint ventures in wildlife management areas, Northern Tanzania. Front. Conserv. Sci. 6:1708398. doi: 10.3389/fcosc.2025.1708398
Received
19 September 2025
Revised
23 November 2025
Accepted
08 December 2025
Published
26 January 2026
Volume
6 - 2025
Edited by
Edson Gandiwa, Zimbabwe Parks and Wildlife Management Authority, Zimbabwe
Reviewed by
Susanne Marieke Vogel, Open University of the Netherlands, Netherlands
Dev Jani, University of Dar es Salaam Business School, Tanzania
Edmund Mabhuye, University of Dar es Salaam, Tanzania
Updates

Check for updates
Copyright
© 2026 Kulunge, Mariki, Roe, Snyman, Dickman, Sibanda, Hare and Mbije.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Salum R. Kulunge, kulunge2020@gmail.com
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.