Multivariate Probit Research Articles

Biogas utilization and its socioeconomic implications: exploring the drivers of energy selection in Southern Ethiopia’s Gurage zone

PurposeThe purpose of this study is to explore the potential and challenges of biogas utilization as an alternative and sustainable energy source in the Gurage zone of Southern Ethiopia, where traditional energy sources such as firewood and charcoal are widely used.Design/methodology/approachThe study adopts a mixed-methods approach to collect and analyze data from different sources and perspectives. The research collects quantitative data from structured interviews with 200 rural households who use biogas or other energy sources, and qualitative data from key informant interviews and focus group discussions with biogas experts, local authorities and community leaders. Socioeconomic analysis is conducted to assess the importance of biogas in terms of income, expenditure, health and environmental benefits, and a multivariate probit model is used to identify the factors influencing biogas energy adoption among rural households.FindingsThe findings indicate that biogas users are more likely to substitute traditional energy sources with biogas for cooking, lighting and heating purposes. The model reveals that age, sex, education level, land size and livestock quantity influence biogas energy adoption, whereas income, distance to market and access to credit do not have a significant effect. The findings also show that biogas users have higher income, lower expenditure, better health and lower greenhouse gas emissions than nonusers.Research limitations/implicationsThe study concludes that the socioeconomic impact of biogas varies among households based on location and lifestyle. The study also highlights the need for further research on the technical, institutional and behavioral aspects of biogas utilization in different contexts.Practical implicationsTo address the challenges faced by biogas users and their energy choices, such as lack of awareness, maintenance, quality control and affordability, the study suggests exploring biogas energy to meet the diverse needs of cattle owners in different regions. The study also recommends enhancing the capacity of local stakeholders, promoting public–private partnerships, and developing supportive policies and regulations for biogas development in Ethiopia.Social implicationsThe study implies that biogas utilization can contribute to social development by improving the living standards, health status and gender equality of rural households. The study also suggests that biogas utilization can foster social cohesion and empowerment by creating opportunities for collective action, knowledge sharing and income generation among biogas users and their communities.Originality/valueThe study provides a comprehensive and empirical analysis of the socioeconomic landscape of biogas utilization and the determinants of energy choice in the Gurage zone of Southern Ethiopia. The study also offers valuable insights and recommendations for policymakers, practitioners, researchers and other stakeholders involved in biogas development in Ethiopia and other developing countries.

Commitment of travel and leisure firms to sustainable development goals

This study investigates the interdependencies of commitments to Sustainable Development Goals as reported by travel and leisure firms active in the United Nations Global Compact Programme. Descriptive statistics reveal that SDG 8 ‘economic growth and decent jobs’ (88%), SDG 13 ‘climate action’ and SDG 5 ‘gender equality’ (SDG 5) (78% each) as well as SDG 12 sustainable production and consumption (75%) are the goals most commonly committed to. Estimation results from the multivariate probit model show that a firm committing to one SDG will likely also dedicate itself to another. Thus, there is a strong positive correlation between the commitments to SDGs 8 and 13, as well as between the SDGs 5 and 8. This indicates that SDG 8 and SDG 13, on the one hand and SDG 5 and SDG 8, on the other, are not seen as contradictory by the firms.

Determinants of adoption of climate smart agricultural technologies in wheat production in Arsi Zone, Oromia Region of Ethiopia

AbstractClimate-resilient crop production requires the use of crop technology that can sustainably increase productivity, build resilience to climate change, and reduce greenhouse gas emissions. Despite countrywide initiatives that promote climate-smart agricultural technology (CSAT) adoption, the rate of adoption has been extremely low. Therefore, this study aims to identify factors that affect the adoption of CSATs in wheat production in the Arsi zone of the Oromia region of Ethiopia. Towards this, plot-level primary data were gathered from 628 plots that were managed by 422 randomly selected wheat-producing smallholder farmers in three selected districts of the Zone. Descriptive statistics and multivariate probit (MVP) model were used to analyze data. The major CSATs adopted for wheat production in the study area were improved wheat varieties (95%), integrated soil fertility management (85%), and irrigation (19%). The result of the MVP model revealed that farmers with higher levels of education, farming experience, and contact with extension workers, have credit access, have access to market information, have greater annual total income, and are closer to the nearest market center are more likely to adopt CSATs in wheat production. Therefore, it is recommended that to enhance the adoption of CSATs in wheat production, policymakers and other development partners should concentrate on the identified factors that were significantly associated with the decisions to adopt CSATs.

Sex and ancestry patterning of residual correlations in human dental development: Cooperative genetic interaction and phenotypic plasticity.

Most research in human dental age estimation has focused on point estimates of age, and most research on dental development theories has focused on morphology or eruption. Correlations between developing teeth using ordinal staging have received less attention. The effect of demographic variables on these correlations is unknown. I tested the effect of reference sample demographic variables on the residual correlation matrix using the lens of cooperative genetic interaction (CGI). The sample consisted of Moorrees et al., Journal of Dental Research, 1963, 42, 1490-1502, scores of left mandibular permanent teeth from panoramic radiographs of 880 London children 3-22.99 years of age stratified by year of age, sex, and Bangladeshi or European ancestry. A multivariate cumulative probit model was fit to each sex/ancestry group (n = 220), each sex or ancestry (n = 440), and all individuals (n = 880). Residual correlation matrices from nine reference sample configurations were compared using Bartlett's tests of between-sample difference matrices against the identity matrix, hierarchical cluster analysis, and dendrogram cophenetic correlations. Bartlett's test results were inconclusive. Cluster analysis showed clustering by tooth class, position within class, and developmental timing. Clustering patterns and dendrogram correlations showed similarity by sex but not ancestry. Expectations of CGI were supported for developmental staging. This supports using CGI as a model for explaining patterns of variation within the dentition. Sex was found to produce consistent patterns of dental correlations, whereas ancestry did not. Clustering by timing of development supports phenotypic plasticity in the dentition and suggests shared environment over genetic ancestry to explain population differences.

What determines the adoption of Islamic finance products in a non-Islamic country? Empirical evidence from Cameroonian small- and medium-sized enterprises

PurposeThe purpose of this paper is to examine the adoption of Islamic finance products (murabaha, musharakah, mudarabah, salam, ijara, istisna and Qard Hassan) by small and medium-sized enterprises (SMEs) in Cameroon, a non-Islamic Sub-Saharan African country.Design/methodology/approachIt used primary data collected from a cross-section of 1,358 SMEs in eight regions of Cameroon using self-administered structured questionnaires. To facilitate the analyses and interpretation, these products are grouped into four groups based on certain characteristics. A multivariate probit model is estimated to take into account the interaction between these different Islamic finance products.FindingsThis study revealed that the desire to comply with Sharia law, awareness, attitude and intention were critical determinants of the decision to adopt Islamic finance products by Cameroonian SMEs. The least influential factors were perceived behavioral control, subjective norms, enterprise characteristics (size, age and location) and socio-demographic characteristics of the entrepreneur (gender, age and marital status). The extension of the multivariate approach permitted us to compute for predicted probabilities which revealed that there exists a synergy effect between the different Islamic finance products. That is, Cameroonian SMEs combine different Islamic finance products at the same time based on their needs. This is especially the case between the partnership-based products (musharakah and mudarabah) and manufacture/rent products (istisna and ijara).Practical implicationsPolicymakers are encouraged to develop stakeholder-oriented strategies to promote effective consumer education in Islamic finance products which will boost awareness. Also, Islamic finance institutions should endeavor to develop innovative financial products that are Sharia-compliant and economically beneficial to the individual and business needs of SMEs. Moreover, policymakers and management of Islamic finance institutions should ensure the putting in place of effective governance structures to guide Islamic finance operations. Finally, policymakers should endeavor to take into account the possible synergy between the different Islamic finance products in their quest to develop this activity.Originality/valueTo the best of the authors’ knowledge, this is the first study that analyses the adoption of different Islamic finance products while taking into account the possible synergy that exists between these products.

Determinants of adoption of urban agricultural practices in eastern Haraghe zone of Oromia region and Dire Dawa City administration, eastern Ethiopia

Although urban agriculture (UA) can aid economic development, food inflation, unemployment, and nutritional insecurity often necessitate urban households to engage in various agricultural practices. Hence, the study aimed to identify UA practices adopted and their determinants in the Eastern Haraghe zone of the Oromia region and Dire Dawa City Administration, Eastern Ethiopia. Data was collected from 385 randomly selected urban households using a semi-structured questionnaire. Descriptive statistics and a Multivariate Probit (MVP) model were used to analyze the data. The results of the MVP model reveal that sex, age, education level, land size, extension contact, credit access, community group participation, training, and household non-farm income significantly influenced vegetable farming adoption. On the other hand, livestock production adoption was also affected by factors such as sex, land size, perception, credit access, farming experience, community group participation, market distance, training, and non-farm income. Crop-fruit production adoption was also influenced by factors like age, perception, farming experience, market distance, training, and dependency ratio. Improving the ability to use the land for UA purposes, empowering female-headed households, improving livestock breeds, creating awareness through short-term training, and improving credit accessibility are important recommendations to enhance the adoption of UA practices in the study areas.

Analysis of the Determinants of Mobile Money Adoption and Use: Evidence from Togo with Simple and Multivariate Probit Approaches

Analysis of the Determinants of Mobile Money Adoption and Use: Evidence from Togo with Simple and Multivariate Probit Approaches

Determinants of Smallholder Farmers’ About Choices of Sustainable Land Management Practices in West Wollega Zone, Oromia Region, Ethiopia

Background: Due attention has recently been given to the choices of sustainable land management practices (SLMPs) to reduce land degradation and improve the livelihood of smallholder farmers in developing countries. A rising number of people believe that Sustainable Land Management is an essential strategy for enhancing food security. For generations, Ethiopia has been regarded as a hotspot of land degradation, posing a severe threat to agricultural productivity leading to widespread rural poverty. Hence, this study aimed at identifying the determinants of smallholder farmers’ choice of SLMPs in the West Wollega zone, Oromia region of Ethiopia using the Multivariate Probit (MVP) model. 
 
 Results: Results of the MVP model show that the predicted probabilities of adopting organic fertilizer, area closure, soil and water conservation, crop rotation, and compost were 37.2, 35.3, 40.5, 38.3, and 38.5% respectively. The MVP model results also show that the five SLMPs are complementary and the probability that households choose all five SLMPs was 23% which is low. Further, results of the MVP model show that cooperative membership, model farmer contact, farm size, non-farm income, credit, farm experience, perceived soil erosion, social capital, livestock owned, farmland slope, NGO intervention, information access, and training have a significant positive influence while age, family size, and perceived input cost significantly and negatively impacted the choice of SLMPs by households in the study area. 
 
 Conclusions: The findings of the study confirm that socioeconomic, household, farm and institutional characteristics of the households have a significant impact on the choices of SLMPs and hence the need to focus on the above-mentioned factors to enhance the choices of SLMPs and reduce land degradation problem in the study area. The results also highlight the significance of environmentally-friendly policies, which include sustainable development, SLMPS plan determination, environmental permits, and incentive programs for managing the sustainability of land management performance in land-use policy within the local context.

Ladder or Stacking: Lesson from Burkina Faso

Access to energy is a major issue in Africa, even in urban areas. Energy remains a luxury good for the majority. However, in rural areas, the situation is even more critical. The lack of government intervention in remote and off-grid rural areas has led some households to move toward technology efficient energy sources. This study explores how entrepreneurship influence the energy efficiency through the adoption of energy for clean cooking and lighting. The investigation uses primary data on 11,165 households, drawn from 248 remote villages, and covering 6 regions. Performing the two-step instrumental variables and Multivariate Probit, the findings show that business enterprises promote energy efficiency. The results depict that compared to households involved in wholesaling and retailing, those engaged in gold panning business, and financial services activities are more likely to use solar photovoltaic (PV) for electricity, and biogas or liquefied petroleum gas (LPG) for cooking.

Behavioural factors matter for the adoption of climate-smart agriculture

Increasing agricultural productivity while ensuring environmental sustainability are two important targets in achieving the sustainable development goals under climatic shocks. In this regard, different climate-smart agricultural (CSA) practices have been recommended and promoted to meet these goals and targets. However, the adoption of these practices remains low and variable. For the most part, low adoption has been attributed to external factors. Behavioural and psychological factors also matter but have received little empirical and policy attention. In this study, we examine the relationship between aspirations, aspiration gaps, and the adoption of CSA practices such as crop rotation, intercropping, fallowing, and organic soil amendments. Employing parametric and non-parametric estimation techniques on a pooled farm household survey from Cameroon and Kenya, we show that aspirations are associated with the use of crop rotation and organic soil amendments. We also investigate the theorized non-monotonic inverse U-shaped relationship between aspiration gaps and investments. We find evidence of this relationship for the adoption of these CSA practices, suggesting an aspiration failure for smallholder farmers. These results imply that aspirations that are ahead but not too far ahead of the current state serve as the best incentives for stimulating the adoption of CSA practices. Employing the multivariate probit model, we further highlight interdependencies in the use of these CSA practices. Specifically, we underscore significant complementarities, suggesting the bundled use of these practices. Overall, the analysis demonstrates that aspirations matter for farmer decision-making with many implications for agricultural, food, and environmental policies.

Circular economy and public policies: A dynamic analysis for European SMEs

AbstractPrevious empirical studies have highlighted the importance of the institutional framework in fostering a transition towards the circular economy (CE). Adopting a dynamic approach, which merges three Flash Eurobarometer surveys conducted in 2015, 2017 and 2021 into a single dataset, we observe the evolution in the factors determining the adoption of CE practices. Firstly, using factor analysis, our results indicate two groups of institutional drivers: knowledge and environmental spillovers. Secondly, applying a multivariate probit model, we observe that both spillovers have a positive effect on the adoption of the CE. Finally, we find that the effect of knowledge spillovers remains relatively constant, while that of environmental spillovers tends to increase. This suggests that firms are increasingly benefiting from the adoption of circular practices by their peers. Policymakers should take into account that a more intense knowledge spillovers and a stronger institutional framework will increase the likelihood of European small‐ and medium‐sized enterprises (SMEs) adopting CE practices.

Small-scale Farmers’ Adoptions of Climate-smart Agricultural Practices in the Guinean Savanna’s Agroecological Zones

Purpose: Guinean Savanna is the largest agro-productive area in Guinea and the most vulnerable to climate-induced hazards that challenge farming practices and cause crop failures. Subsequently, small-scale farmers have recently lent themselves to climate-smart agricultural practices (CSAPs) as alternatives to maintain food security. Developing such practices has led this study to identify farmers’ know-how of CSAPs and factors motivating these practices. Research Method: Methods including household surveys, focus group discussions, key informant interviews and field observations were used to collect data from a purposive random sample of 1,500 small-scale farmers in nine agroecological zones susceptible to drought and flood. Multivariate probit model was used to determine factors influencing small-scale farmers’ adoption of CSAPs. Findings: Results show that adoptions of CSAPs were influenced by farmers’ socio-economic characteristics including access to income sources from non-farm activities, holding of livestock and/or a plantation, perceived impacts of climate change, and membership to a farm-based organisation. Other factors such as farming experience, educational level, gender and age were also motivating farmers to adopt CSAPs. On the contrary, household size was not significant in adopting CSAPs in the Guinean Savanna. Limitation: This study only covers 9 of the 17 agroecological zones that make up the Guinea Savanna.Originality/Value: Being the first study that showed an interest in CSAPs in the study area, it provides information that could enhance food security and communities’ resilience.

Understanding the characteristics of the household energy transition in a developing country

Understanding the energy transition process in developing countries is crucial to implement policies to reduce the use of traditional fossil fuel-based energy sources, which increase pollution, worsen global climate change, and negatively impact people's health. Existing literature indicates that households account for approximately 25% of total energy consumption for consumption and production activities. However, understanding the energy consumption patterns of choices of energy sources and their determinants has largely been neglected in the existing literature. As such, this study uses the multivariate probit model to identify the factors influencing household energy choices in Vietnam, using data from 2016 to 2020 from the Vietnamese Households Living Standard Surveys (VHLSS). Our study focuses on how households' multiple occupations, particularly in rural areas, affect energy sources choices. We find that households participate in different agricultural sub-sectors simultaneously, resulting in differential access to multiple energy sources. Households engaging in cultivation, forestry, and animal husbandry activities are more likely to choose coal, fuelwood, and biomass as the primary energy sources for production and daily uses. In contrast, higher household income and household head with higher education level also increases the likelihood of choosing cleaner energy choices for daily uses and production activities. In addition, our empirical findings confirm the validity of the "energy stacking” hypothesis rather than the “energy ladders" hypothesis – two contrasting hypotheses concerning household energy transition in the literature. Policy implications have emerged based on the findings of this paper to enhance the clean energy transition in Vietnam in achieving sustainable economic development and social transformation and her commitment to combating global climate change issues.

Decarbonizing the Residential Sector: How Prominent is Household Energy-Saving Behavior in Decision Making?

In addition to scrutinizing the decision process behind energy efficiency investment, this study investigates its association with energy-saving behavior. Its conceptual underpinnings are based on the intersection of behavioral change and “energy efficiency paradox” theories. Based upon a rich, disaggregated dataset representative of the French housing sector, it develops an energy-saving score based on the item response theory model, which considers household attributes and ability levels. Then this score is used as an independent factor of a multivariate probit model to examine the drivers of household investment decisions for various energy performance solutions. The results highlight that: (i) contextual and attitudinal attributes are two major drivers of energy efficiency investments, and (ii) depending on the energy solution considered, there is a significant inverse relationship between energy-savings behavior and energy efficiency investments. This reveals that environmental awareness is not necessarily a driving factor behind energy efficiency investments and emphasizes the so-called “rebound effect” issue. The results support the view that promoting energy-saving behaviors and energy efficiency investments necessitate differentiated public policies that consider both individual preferences and housing stock heterogeneity. The analysis offers valuable policy guidance and research agenda outlining future energy efficiency research priorities.

The impact of livelihood capitals on farmers’ adoption of climate-smart agriculture practices: Evidence from rice production in the Jianghan Plain, China

As the relationship between climate change and agricultural production increasingly gains attention, the FAO recommends the adoption of climate-smart agriculture practices (CSAPs) to ensure the stable development of agriculture amidst changing climatic conditions. However, the adoption rate of CSAPs remains low and the effects of livelihood capitals have received little attention. Based on the survey data for 916 farmers in the Jianghan Plain of China, this paper adopts a multivariate Probit model to examine the impact of farmers’ livelihood capitals which are measured by an entropy-TOPSIS approach on their adoption of CSAPs. Our results demonstrate that different livelihood capitals exert various influence on the adoption of CSAPs. Specifically, human, financial, physical, and social capital have positive relationships with pesticide-oriented CSAPs such as integrated pest management (IPM). Natural capital has a positive relationship with seed- and water- oriented CSAPs like tolerant rice varieties (TRV). Natural capital positively relates to soil-oriented CPSPs including rice straw mulching (RSM) while physical capital has a negative effect. Natural and physical capitals have positive relationships with fertilizer-oriented CSAPs like deep placement of fertilizer (DPF). Social and natural capitals have positive relationships with soil-oriented CSAPs such as no-tillage direct seeding (NTDS) while financial capital has a negative effect. Climate factors are also important in the adoption of CSAPs such as TRV and RSM. Finally, policy recommendations are suggested to enhance household livelihood capitals to promote the adoption of each type of CSAP.

Sociodemographic drivers and interconnected energy-saving practices: insights from Ecuador's household sector

Purpose The escalating levels of greenhouse gas emissions have become a growing global concern, with household energy consumption emerging as a significant contributor. To develop effective public policies, it is crucial to understand the energy-saving behavior of households. This study delves into the determinants of energy-saving practices in a developing country.Design/methodology/approach The authors chose a multivariate probit model, as it allowed to look after possible correlations among seven energy-saving practices within households.Findings The findings underscore the significant influence of sociodemographic variables, such as gender, civil status, income and education, on energy-saving practices. Furthermore, the authors discovered that households where the head actively volunteers in social organizations are more likely to adopt energy-saving behaviors. Additionally, internet access positively contributes to pro-environmental behavior. This research reveals that certain energy-saving practices are interconnected, acting as complements or substitutes.Research limitations/implications Recommendations for public policy include prioritizing education in rural areas to boost energy-saving practices, improving internet access in nonurban regions and promoting citizen involvement in social organizations to enhance environmental awareness and encourage energy-saving behavior. The authors contribute to literature evidencing that certain energy-saving practices are not independent of each other, they are rather complementary and, in some cases, substitutes.Practical implications Recommendations for public policy include prioritizing education in rural areas to boost energy-saving practices, improving Internet access in nonurban regions and promoting citizen involvement in social organizations to enhance environmental awareness and encourage energy-saving behavior.Originality/value Previous studies have overlooked these interdependencies, highlighting the necessity of a system of equations to yield more efficient estimates by considering correlations between error terms.

The farm succession effect on farmers’ management choices

It is acknowledged that the identification of a successor within the family farm can affect the farm development, which is conventionally referred to as the succession effect. This dynamic is of particular relevance in Europe, where fostering generational renewal towards increased farm modernization and innovation is on top of policy agenda. Yet, the succession effect on the farmers’ decision-making has been poorly substantiated with empirical and quantitative evidence, whereas the current policy framework mostly disregards this phenomenon. This paper aims to verify whether and to what extent the identification of a successor within the family farm affects the farmer’s strategic choices, and to identify which management strategies are privileged by farmers having identified a successor. Based on a cross-sectional dataset of 768 farms from across nine European countries, a control function model is employed to test the succession effect on the farmer’s decision-making, while parametric tests, odds analysis and multivariate probit regressions are applied to identify main strategies. The results confirm that the identification of a successor has a significant impact on farmers’ choices, leading to an average increase of about two additional strategies adopted, and that strategies like agricultural and non-agricultural diversification, cooperation and technology adoption are privileged by farmers having a successor. The paper discusses how the current policies could be improved to better leverage the succession effect, and identifies possible strategies.

A dynamic perspective on profiling financial-aid eligibility: the case of South Africa

Abstract The sustainable funding of tertiary education is a subject of significant policy debate worldwide. In South Africa, the need to balance equitable access within a constrained fiscal environment has been a complex challenge. A legacy of racially segregated educational opportunities, together with student activism and protests, has shaped the political economy surrounding tertiary education funding. Policymakers continue to be faced with the challenge of funding students whose household income is too high to meet state financial aid eligibility, yet who struggle to afford tuition and accommodation expenses. In this context, exploring a policy instrument that differentiates students based on multidimensional socioeconomic need is critical. We motivate for a differentiated policy instrument that considers economic uncertainty of households as a dimension of socioeconomic need. A purpose of our paper is therefore to illustrate that income mobility can contribute to household vulnerability, and therefore to funding need. Household income mobility is estimated using a multivariate probit model that explicitly accounts for endogeneity of initial conditions, unobserved heterogeneity, and non-random panel attrition. We operationalise this model as a relevant empirical tool for analysing and understanding the implementation, expansion, and targeting of social policy more generally.

Can Islamic finance enhance the innovation capacity of Cameroonian SMEs? Empirical evidence based on a multivariate probit approach

This study examines the effects of the Islamic mode of financing on the innovation capacity of SMEs in Cameroon using a sample of 1358 SMEs. Results of the multivariate probit model indicate that Islamic finance enhances process innovation, product innovation, and marketing innovation. While the effects on organizational innovation are positive, they are statistically insignificant. Our main results equally indicate that the effects of Islamic finance on the innovation capacity of SMEs are more pronounced on technological innovation (process and product) than non-technological innovation (marketing and organizational). Policymakers are encouraged to put in place the necessary mechanisms for the promotion of Islamic finance such as the enacting of laws that ensure the creation of full-fledged Islamic banks, and raising awareness about the benefits and specificities of this mode of finance for the financing of SME innovation.

Adoption of drought tolerant maize varieties and farmers’ access to credit in Nigeria: Implications on productivity

In this study, we examined the determinants of choice of variety including DTMV, local variety and combination of the two varieties using multivariate probit model. In addition, we examined factors influencing adoption of DTMV and access to credit among the maize farmers using endogenous switching probit model (ESPM). Consequently, we ascertained the probable effects of adoption of DTMV on maize productivity using endogenous switching regression model (ESRM). We used IPWRA to correct for biased estimates of ATT, ATE and POM of the endogenous treatment. Our results are in four folds: First, from the multivariate probit model, we found that age, gender, household size, farming experience, membership in farmers association, access to extension contacts, location and access to credit variables influenced the maize farmers’ decision to choose between DTMV, local varieties and combination of both. Second, the result of the ESPM shows that variables age, gender, farm size, years of formal education and membership in association affects maize farmers’ access to credit. Third, from ESRM results, we found that gender, household size, marital status, membership in association, access to extension contacts and location variables translates to increase maize productivity for the maize farmers who adopted DTMV. Lastly, the result of IPWRA indicates that adoption of DTMV increased the productivity of the maize farmers. To ensure access to DTMV seed varieties, stakeholders and government should take lead in dissemination of these varieties to reach the target farmers.