Potential of sorghum and finger millet to enhance household food security in Zimbabwe's semi-arid regions: a case study of communal areas in Masvingo Province

Successive droughts, in Zimbabwe compounded by other economic shocks in recent years have resulted in decreased maize productivity amongst the communal farmers most of whom reside in regions IV and V which are considered semi-arid. This has given rise to the need to find alternative food crops, which may be suitable for these areas. Generally, research in the world indicates that sorghum and millet have the potential to end chronic food insecurity in semi-arid areas because of their drought tolerance. Whilst this might be the case, research, government policy and assistance from non-governmental organizations on food crop production in Zimbabwe have shown a continual inclination to maize production in semi-arid areas. However, maize is regarded as a high risk crop in these regions. The main objective of the study was to investigate major factors affecting smallholder farmers in semi-arid areas, from increased production of small grains, specifically sorghum and finger millet. The study was conducted in two rural districts of Masvingo and Gutu, which lie in natural region IV in Masvingo Province. The questionnaire was used as the main tool of inquiry to gather data from households in selected villages within these districts. Questionnaires were administered through face-to-face interviews. The total sample size was 120. The logistic regression model was used to analyze data. The results revealed that, at the 5% level, labour, cattle ownership, farm size, age, extension, yields and access to credit significantly influence sorghum and finger millet production. These findings suggest that an adjustment in each one of the significant variables can significantly influence the probability of participation in small grain production. In view of these research findings, a policy shift that encourages increased production of finger millet and sorghum in Zimbabwe‟s semi-arid regions is proposed. It is suggested that this may increase household food security in these regions

Determinants of smallholder vegetable farmers' participation on post-harvest practices and market access : evidence from Mashonaland East Province of Zimbabwe

Smallholder vegetable production is very vital in enhancing livelihoods in Zimbabwe’s rural areas. Vegetable production generates household income and improves household food security. Despite this, smallholder vegetable farmers in Zimbabwe suffer huge post-harvest losses which reduce their profits and market competiveness. Post-harvest losses of vegetables are a major dilemma faced by smallholder farmers. They not only represent waste of scare resources such as farm inputs but they also entail wasted investment in terms of time, human effort and food. Furthermore, there are also a myriad of other challenges which constrain smallholder vegetable farmers in Zimbabwe from accessing lucrative markets. The broad objective of the study was to assess smallholder vegetable farmers` preferred post-harvest practices for value addition as well as factors that condition their selection choices, adoption and product market access. The study was conducted in four districts: Seke, Goromonzi, Murehwa and Mutoko, in the Mashonaland East Province of Zimbabwe. A multistage sampling procedure was adopted in the selection of villages and households. A total of 385 smallholder vegetable farmers were interviewed. The survey was undertaken from August–October 2016. Descriptive statistics were employed to analyse the socio-economic and demographic characteristics of households that were sampled in Mashonaland East Province. Age of household head, gender, educational level, household size, farming experience, main sources of income, land ownership, main vegetables produced and main causes of post-harvest losses were some of the statistics that were analysed. The average age of the farmers varied significantly across districts and it was generally high (average of 50 years). Moreover, the average household size was about six (6) individuals, which is an indication of high dependency ratio. The study also revealed the major causes of post-harvest losses across all vegetables predominantly cultivated in the study area were pests and diseases, followed by decay. Most of the underlying causes of huge post-harvest losses were within the control of the farmer. Therefore, the study recommends strategies from policymakers and Non-Governmental Organisations (NGOs) which enhance post-harvest management. These can result in substantial reduction in losses which can increase farmers’ income without necessarily expanding land under cultivation. The Poisson count regression model (PCRM) was used to analyse factors influencing number of post-harvest techniques adopted by smallholder vegetable farmers in the study area. The results of the PCRM revealed that the following variables were significant in influencing number of post-harvest practices adopted by smallholder vegetable growers: gender, education level, household size, age, farming experience, distance to market, market information, group membership, credit, and hired labour. The study recommends concerted efforts through public private partnerships (PPP) to provide active extension about post-harvest education. This will promote the adoption of simple, uncomplicated and innovative low-cost technologies for post-harvest management. The binary logit model was employed to analyse factors that influence smallholder vegetable farmers’ decisions to select a specific post-harvest practice for value addition. This was based on the three major post-harvest practices which were mainly being adopted by smallholder vegetable farmers’ in the study area which were drying, grading and washing. The results of the binary model showed that nine (9) variables were significant in influencing smallholder vegetable farmers’ decisions to select post-harvest practice for value addition. These were: gender, land size, distance to market, market information, family labour, training, target market, quantity produced and storage facilities. Policymakers and other stakeholders need to provide productive resources such as inputs to improve productivity and ultimately selection of basic post-harvest management techniques along the vegetable supply chain. The multinomial logit model was used in the study to analyse factors that influence market channel choice of smallholder vegetable farmers in the study area. The results from the multinomial logistic regression model revealed that distance to market, group membership, adding value, road infrastructure and quantity produced influenced participation in informal markets. On the other hand, gender, distance to market, market information, group membership, producer price, adding value, road infrastructure, quantity produced and market infrastructure influenced farmers’ participation in formal markets. Policies aimed at assisting resources for improved productivity of vegetables should be gender sensitive. Establishment of irrigation schemes as well as provision of credit for smallholder vegetable production are vital interventions. In the same way, crafting of appropriate policies and programmes which foster collective action amongst smallholder vegetable farmers are required. This will enable them to produce larger volumes as well as participate in more lucrative markets. Finally, smallholder vegetable farmers’ transaction costs can be reduced by investment in infrastructure such as roads

Greening up in logistics: Managerial perceptions of small and medium-sized enterprises on sustainability in Zimbabwe

‘Sustainability’ and ‘going green’ have become buzzwords in today’s business world. In logistics, greening up in a sustainable way in the future suggests the need to identify innovative measures that go beyond merely reducing carbon emissions. The purpose of this article was to explore managerial perceptions on green logistics barriers, applications and the importance of green logistics in Zimbabwean small and medium-sized enterprises (SMEs). A qualitative research approach that utilised semi-structured interviews to collect data from five SME managers and one government official was used. Using a thematic deductive line-by-line content analysis approach, this article principally found that internal barriers such as costs, lack of resources and knowledge are major barriers impeding the adoption and application of green logistics in Zimbabwean SMEs. Poor infrastructure and roads were reported to be the common external barriers of green logistics adoption in SMEs. The article also found that most of the participant SMEs in Zimbabwe were not yet applying green logistics, although some were striving towards practising packaging optimisation, warehousing, inventory management optimisation, along with transport optimisation and efficiency (particularly, route optimisation and fuel efficiency). From the themes, the study found that green logistics is important to the few environmentally conscious SMEs. The importance of green logistics identified were the creation of brand loyalty, good brand image, the possibility of attracting government support, cost saving, as well as improving the firm’s profitability in the long run. Conclusions were drawn and recommendations to both firms and government were made

Determinants of Risk Behaviour in Livestock Development Programs: Evidence from South Africa's Kaonafatso Yadikgomo (Kyd) Scheme

Risk plays a significant role in input use decisions and production of output in agricultural production. Understanding farmer risk attitudes and their responses to risk is significant in designing effective intervention programmes. Few studies have tried to identify how the introduction of a livestock programme has tended to influence farmer risk profile. The objective of the study was to highlight the determinants of risk behaviour in participants of a livestock development programme. The study was carried out in KwaZulu-Natal (KZN) Province of South Africa, utilising a purposive sample of 164 respondents who are part of the Kaonafatso Yadikgomo (KYD) Scheme. The cross-sectional survey collected data pertaining to the risk attitudes of the livestock farmers from an attitudinal scale as well as socio-economic and farm biophysical characteristics. Descriptive statistics and multiple linear regression were used to analyse the data. The results show that the livestock farmers were risk loving, with the risk attitude being influenced by the age of household head, monthly household income and experience in rearing cattle at the ð‘ < 0.1 level. Furthermore, the source of income, herd size, reason for slaughtering cattle distance to the nearest water source and access to a dip tank had significant influence of attitude towards risk at the ð‘ < 0.05 level. The study concludes that being part of a livestock development programme tends inflto uence the risk attitudes of the participants as the determinants were against a priori expectations.&nbsp

Household Cooking Energy Situation in Nigeria: Insight from Nigeria Malaria Indicator Survey 2015

The lingering electricity energy crisis in Nigeria which is beyond the control of most households necessitates making decision and choice on alternative energy pathways for households' sustenance and welfare. This study assessed households' energy situation with respect to choice of cooking fuel and cooking energy poverty status in Nigeria. Further investigation was sought to isolate the main factors influencing households' choice of individual fuels as main cooking fuels using data from Nigeria's Malaria Indicator Survey of 2015 with the application of descriptive and multivariate probit analyses. Findings revealed that wood and kerosene fuels remain the major fuels utilized by most households in Nigeria for cooking purposes. Meanwhile, level of education, household size, wealth status and regional factors are significant predictors driving choices of fuels among households, though the impact of these factors differs across the highlighted choices. Based on these findings, mass enlightenment campaign on the safe use of clean energy is recommended while the need for economic diversification by rural households to aid their wealth status is also emphasized. Also, there is need to gear up corporate social responsibilities by the available private establishments in ensuring rural accessibility, availability and affordability of modern and cleaner fuel (such as LPG). Keywords: Cooking Energy Choice, Multivariate Probit Model, Nigeria JEL Classifications: D10, I30, Q40 DOI: https://doi.org/10.32479/ijeep.691

Landrace and GM maize cultivars’ selection choices among rural farming households in the Eastern Cape Province, South Africa

ABSTRACTMaize plays a significant role among rural farming households in South Africa. The study therefore estimated the drivers of maize cultivars’ selection choices among rural farming households focusing on the commonly grown cultivars from the study area (Landrace and genetically modifies [GM] maize). A cross-sectional survey of 650 respondents randomly selected from Port St Johns and King Sabata Dalindyebo Local Municipalities of the Eastern Cape Province of South Africa were used. Descriptive results revealed that a significant number of the respondents from the study area (65%) were growing Landrace maize cultivars, followed by GM maize (31%), improved OPVs (3%) and conventional hybrids (1%). Multivariate Probit regression estimates show that GM maize cultivars’ selection is positively influenced by the amount of rainfall (1% level), household size (5% level), education (1% level), size of arable land (10% level) and access to cell phones (5% level), whilst negatively influenced by the employment status (5%). Conversely, the selection of Landrace maize cultivars is negatively influenced by the of amount rainfall (1% level), education (1% level), income (10% level), access to cell phone (10% level) and radio (10% level) whilst positively influenced by the number of livestock (5% level). The study therefore argues that GM maize cultivars may be meaningfully promoted in high rainfall areas, focusing on arable land sizes and targeted awareness campaigns. The promotion of Landrace maize cultivars may be targeted in low rainfall areas in a mixed farming setting to enhance the complementarity of maize and livestock

Factors influencing commercialisation among smallholder cabbage farmers of the Buffalo City Metropolitan Municipality of South Africa

Literature suggests that there are high levels of commercialisation by even the poorest and smallest landholders within the horticulture subsector in most rural Africa. Thus, the notion of poor commercialisation among smallholder farmers is now being challenged. Against this background,this paper estimated factors that influence commercialisation by smallholder cabbage farmers in the Eastern Cape Province of South Africa. The study used a cross-sectional survey of120 smallholder cabbage farmers obtained through a multistage sampling procedure. A Cragg double-hurdle model was applied to analyse the factors that influence the commercialisation decision and intensity of commercialisation. In the first stage, the result of the probit regression model revealed that gender, age, access to informal credit and area planted were significant factors towards influencing smallholder cabbage farmers’ commercialisation decisions. In the second stage, the results of the truncated regression model revealed that family size and area planted were the key factors determining the intensity of commercialisation. Hence, the attempts to improve smallholder farmers’ cabbage commercialisation should be guided by these significant explanatory variables in the study area, given the low commercialisation index revealed

An analysis of factors that determines the choice of indigenous chicken (ic) owned by rural households in alice communal area, South Africa

African indigenous chickens (IC) though commonly kept by households in rural areas for consumption and sale, their contribution to rural livelihoods is generally overlooked. Literature suggests that IC production plays a vital role in rural communities of South Africa as an important source of animal protein and income. Despite these claimed benefits, production of indigenous chickens in Alice and other parts of South Africa’s rural areas is very low. This study used a cross-sectional survey of 120 households who keep IC in Alice communal area. The multivariate probit model was employed to investigate the factors that determine the choice of indigenous chicken owned by rural households. Results reveal that, gender, age, household size, association membership, access to formal markets, access to veterinary services, access to informal credit, access to formal credit and diversity score drive ownership of different indigenous chickens at household level. Thus far, the paper argues that, promotion of ownership of indigenous chicken at household level calls for strategic institutional alignment and a clear understanding of social demographic characteristics of the targeted community, which should be supported by several awareness campaigns and client based selection of indigenous chicken breeds of socio-economic importance to the household

Analysis of factors affecting technical efficiency of A1 smallholder maize farmers under command agriculture scheme in Zimbabwe: The case of Chegutu and Zvimba Districts

AbstractIn an effort to address the decline in maize productivity, the government of Zimbabwe in 2016/17 endorsed a special program for input support named command agriculture scheme (CAS). Against this background, the study questioned the beneficiaries’ technical efficiency and factors that influence farmers to gravitate towards the frontier using Chegutu and Zvimba districts of Zimbabwe as case studies. The study used a cross-sectional survey of 240 households randomly selected through a three-stage multiple-sampling procedure. The single-stage modelling stochastic frontier approach was applied to assess technical efficiency of A1 smallholder command agriculture maize farmers. The study revealed that A1 smallholder command agriculture maize farmers in Chegutu and Zvimba districts were technically efficient at 85% and 94%, respectively. The major determinants of technical efficiency were basal fertilizer, labour, area allocated to maize production and topdressing fertilizer which all indicated a positive relationship. The main determinants of technical inefficiency were age, maize farming experience, level of education, marital status, occupation status and other sources of income. Results further revealed that farmers from Chegutu district had increasing returns to scale (1.43) while farmers from Zvimba district had decreasing returns to scale (0.54). The study therefore argues that despite the observed high technical efficiencies, Chegutu farmers could bridge their 15% gap between the observed output and the frontier output by focusing more on input usage with increasing returns to scale while Zvimba farmers could bridge their 6% gap by focusing more on socio-economic drivers of technical inefficiency given their decreasing returns to scale

Does Urbanization Matter For Poverty Reduction in Nigeria: An Empirical Evidence From Autoregressive Distributed Lag (ARDL) Estimation

Urbanization has been argued to be having an impact on several other development challenges. To this end, this paper aims to contribute to the empirical literature by exploring the effect of urbanization and its' magnitude on poverty, both in the short run and long run in Nigeria. The macroeconomic analysis was conducted using data from 1982 to 2017 which was obtained from the World Bank. Bound Test and autoregressive distributed-lag (ARDL) estimation techniques were used to test the existence of a cointegration relationship and to estimate the short and long-run effect of urbanization and other variables on poverty reduction. Results from the study and an economic standpoint, provide strong evidence that urbanization remains an important factor in poverty reduction in Nigeria. The analysis further shows that while international remittances have a positive and significant effect, foreign aid and government expenditure have significant negative effects on poverty reduction in the long-term period. While findings from this study suggest that urbanization remains a valid tool in the fight against poverty, the need for sustainable urbanization policies and efforts by the Nigerian government is highly imperative