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We revisit the question of whether the poor pay more for food using household food expenditure data from Tanzania. We control for spatial factors that could affect food prices, namely, whether a rural household is in a peri‐urban, intermediate, or hinterland rural zone (distinguished by distance to urban areas) and whether an urban household is in a primary city, secondary city, or a town. Our results differ from conventional wisdom. First, we find that the rich and the poor pay about the same price per kilogram on average for certain key Tanzanian food products like rice, maize flour, and cooking oil. Second, we find that poor households do not buy meaningfully smaller quantities per transaction than do richer households. Third, the rich and the poor also make roughly the same number of purchases per month for most food products studied. Lastly, we find that bulk discounts (a decrease in price per kilogram with an increase in quantity purchased) do exist, but only up to a certain quantity (with exceptions in some animal proteins), below which few households purchase. Hence, our evidence suggests that poorer Tanzanian households do not pay significantly more for key food products. [ABSTRACT FROM AUTHOR]

The Kilombero Valley floodplain in Tanzania is a major agricultural area. Government initiatives and projects supported by international funding have long sought to boost productivity. Due to increasing population pressure, smallholder farmers are forced to increase their output. Nevertheless, the level of intensification is still lower than what is considered necessary to increase production and support smallholder livelihoods significantly. This article aims to better understand farmers' intensification choices and their interdependent determinants. We propose a novel modeling approach for identifying determinants of intensification and their interrelationships by combining a Bayesian belief network (BBN), experimental design, and multivariate regression trees. Our approach complements existing lower‐dimensional statistical models by considering uncertainty and providing an easily updatable model structure. The BBN is constructed and calibrated using data from a survey of 304 farm households. Our findings show how the data‐driven BBN approach can be used to identify variables that influence farmers' decision to choose one technique over another. Furthermore, the most important drivers vary widely, depending on the intensification options being considered. [ABSTRACT FROM AUTHOR]

This study assesses the extent of COVID‐19‐related food insecurity in Kenya, Tanzania, and Namibia. Using the Household Food Insecurity Access Scale, we measure food insecurity in various dimensions and document several food access disruptions associated with the COVID‐19 pandemic between April and July 2020. Furthermore, we assess the association of COVID‐19 countermeasures with the adoption of various strategies in line with the coping strategies index. We rely on a unique phone survey that followed households who participated in an earlier field‐based survey. First, through Ordinary Least‐Squares and Probit regressions, we show a strong and statistically significant association between COVID‐19 countermeasures and food access disruptions and food insecurity in each of the three countries. We then use a multivariate probit regression model to understand the use of the various coping strategies, including reducing food intake, increasing food search, and relying more on less nutritious foods. We provide evidence on the complementarities and trade‐offs in using these coping strategies. COVID‐19 and related lockdown measures coincided with a deleterious increase in food insecurity in rural Africa. [ABSTRACT FROM AUTHOR]

This article analyses the economic impacts of agricultural produce cess in Tanzania and compares its effectiveness with alternative reform options relying on its removal or reduction. Produce cess is one of the common forms of agricultural taxation in Sub‐Saharan Africa. This analysis is performed using the farm‐household model FSSIM‐Dev, which is applied to a country representative sample of 3134 individual farm households taken from the 2012/2013 Tanzania National Panel Survey. Simulations show that the current produce cess is rather high and its removal or reduction would increase production intensity and boost farm income, ranging between +2% and +21% depending on options and regions. These positive impacts are driven by land productivity improvement rather than area reallocation. The largest impacts are experienced in northern and western highlands. Large farms and farms specialized in cash crops tend to gain more from the abolishment or reduction of produce cess. The increase in both production and income is, however, not sufficient to significantly reduce rural poverty and improve nutrition security. Finally, results show that a uniform cess rate of 1% for all crops seems to be the most appropriate policy option. It gives the best trade‐off between government revenue loss and farmers' economic gain. [ABSTRACT FROM AUTHOR]

We study household consumption of various categories of processed food, including ultra‐processed food and meals away from home in Tanzania. We compare peri‐urban versus hinterland rural areas, and large cities versus small towns. Three sets of findings stand out. (1) Contrary to the common view in Africa that processed food is mainly an urban middle‐class phenomenon, we found it has penetrated the diets of the rural areas and the rural and urban poor. In rural areas, surprisingly 60% of food consumption comes from purchases in value terms, and processed food accounts for 76% of purchases and 47% of all food consumed. For the rural poor, purchased processed food is 38% of food consumption. In urban areas processed food's share of purchases (hence consumption) is 78%, similar for the rich and poor. (2) We found that ultra‐processed food (such as sugar‐sweetened beverages and cookies) and meals‐away‐from‐home (MAFH) have emerged as important in urban as well as rural areas. As these foods tend to be high in oil, salt, and sugar, this is a health concern. The share of ultra‐processed foods and MAFH is 21% in rural areas and 36% in cities albeit twice as high in large cities compared with small towns and among richer compared to poorer consumers. (3) Our regressions show the spread of processed food consumption in rural and urban areas, among the rich and poor, is driven mainly by opportunity costs of the time of women and men, and thus the pursuit of saving home‐processing and cooking time, as well as food environment factors. As these drivers are long term trends this suggests processed food consumption will continue to grow. [ABSTRACT FROM AUTHOR]

Index‐insured loans offer considerable advantages over standalone insurance policies for improving farmers' access to agricultural credit. However, research on demand for such products and their impact on profitable investment decisions has been limited and conflicting. In this article, we investigate the impact of index insurance on demand for credit and investment decisions using a lab‐in‐the‐field experiment conducted in rural Tanzania. We find that index insurance increases demand for credit and high‐risk high‐return investments. [ABSTRACT FROM AUTHOR]

Research on technology adoption typically assumes that the preferences of a single individual—the household head—determine household‐level decisions. This study uses experimentally derived prospect theory‐based risk preferences from couples in Tanzania to test whether men's and women's risk preferences, which often diverge, influence the adoption of improved maize varieties. We find that women's risk aversion and men's loss aversion are negatively correlated with improved variety use. The tendency of men to overweight small probabilities is negatively associated with adoption, whereas the tendency of women to do so is positively associated. These findings suggest that technology adoption research should look beyond the preferences of the household head, and that technology promoters should consider targeting both men and women in their education and dissemination efforts. [ABSTRACT FROM AUTHOR]

In order to better understand how cross‐border price shocks are transmitted to domestic food markets, we augment an error correction model with a network approach and apply it to Tanzania. We show the following. First, Dar es Salaam, Tanzania's largest city and port, is not a significant influence. Second, demand shocks emanate primarily from border markets that may serve as conduits for informal trade. Third, market linkages differ considerably across seasons and commodities. Fourth, prices in areas with high production potential are especially sensitive to systemic shocks. More broadly, we show that a network approach in conjunction with time series analysis can enhance our understanding of the origins and channels through which shocks are transmitted to food markets. [ABSTRACT FROM AUTHOR]

Food insecurity, child malnutrition, and land degradation remain persistent problems in sub‐Saharan Africa. Agricultural sustainable intensification (SI) has been proposed as a possible solution to simultaneously address these challenges. Yet there is little empirical evidence on if agricultural management practices and inputs that contribute to SI from an environmental standpoint do indeed improve food security or child nutrition. We use three waves of data from the nationally‐representative Tanzania National Panel Survey to analyze the child nutrition effects of rural households' adoption of farming practices that can contribute to the SI of maize production. We group households into four categories based on their use of three soil fertility management practices on their maize plots: "Nonadoption"; "Intensification" (use of inorganic fertilizer only); "Sustainable" (use of organic fertilizer, maize–legume intercropping, or both); and "SI" (joint use of inorganic fertilizer with organic fertilizer and/or maize–legume intercropping). The results from multinomial endogenous treatment effects models with the Mundlak–Chamberlain device suggest that use of practices in the "SI" category is associated with improvements in children's height‐for‐age and weight‐for‐age z‐scores relative to "Nonadoption," particularly for children aged 25–59 months. These effects appear to come through improvements in both crop income and productivity. [ABSTRACT FROM AUTHOR]

Women make important contributions to household food production in sub‐Saharan Africa. Women's agricultural productivity is often reduced, however, by inefficient intrahousehold allocation of agricultural resources. Complex marital structures found in polygynous households may complicate resource allocation. Using three waves of the Tanzania Living Standards Measurement Survey–Integrated Survey on Agriculture, we measure the effect of the marital structure, wife position, and plot management on agricultural productivity and input allocations. We find evidence of cooperation within polygynous households. Plots managed by husbands and wives in polygynous households produce more valuable crops, have higher yields, and are more likely to use fertilizer than their monogamous counterparts. Within polygynous households, we observe that plots jointly managed by husbands, first wives, and second wives (together) have significantly more family labor than plots managed by husbands and first wives. This result may provide evidence of different production technologies across plot managers within the same households. [ABSTRACT FROM AUTHOR]

Double blind field experiments and experimental auctions were conducted with bean and cowpea farmers in Tanzania and Ghana to gauge the relative demand for three types of seed products that differ in price and quality: certified, quality declared, and recycled. Whether the cost differential makes these seeds qualitatively different products as reflected in their perceived performance, and whether that translates into farmers' willingness to pay price premiums, are the research questions addressed by this study. Results indicate that, all else equal, there were significant differences in the perceived quality of the seed products evaluated. Farmers were willing to pay significantly more for their higher rated seed relative to their lower rated seeds. However, for a majority of farmers the magnitude of the premium they are willing to pay for a higher quality seed is less than the current price differential between certified seed and grain. Research and policy implications of these results for legume seed system are discussed. [ABSTRACT FROM AUTHOR]

Networks have been found to increase adoption of technology by providing information about the new technology (e.g., Conley and Udry, 2010). However, little is known about provision of necessary inputs for adoption through networks. Using data from an intervention in Tanzania, I discuss how a farmer's network can also affect the adoption of improved banana cultivation by providing seedlings. A solidarity chain principle obliged project farmers to pass on improved seedlings to other farmers free of charge. I provide a theoretical framework to guide intuition for the empirical results and suggest an empirical distinction between information and input provision through networks. Empirically, I find support for network effects through provision of both information and inputs, jointly boosting the network effect on adoption: a farmer is 39 percentage points more likely to adopt banana cultivation if there is at least one banana grower in the farmer's network compared to none. In this setting, it is not possible to fully disentangle the input and information channel. While the findings suggest that a solidarity chain principle could be an interesting avenue to boost local diffusion of new technologies, more research is needed to unpack the causal impact and the interplay with existing input markets. [ABSTRACT FROM AUTHOR]

There is a lack of evidence for impact at scale of vegetable research and development, although the importance of vegetables for human nutrition and smallholder incomes is generally understood. We therefore study adoption and impact of improved tomato and African eggplant varieties developed through international agricultural research, released by national agricultural research and extension systems, and supplied to farmers by private seed companies in East and Southern Africa from 1990 to 2014. The study finds that in 2014, varieties developed by the World Vegetable Center accounted for 50% of tomato and 98% of African eggplant commercial seed production in East and Southern Africa. For Tanzania alone, investment in crop improvement generated economic gains of US$ 255 million for tomato and US$ 5 million for African eggplant up to 2014. The internal rate of return is 26% for tomato and 12% for African eggplant, though we project the latter to increase to 26% by 2024 as the variety was released only in 2007. These findings support the view that agricultural policy and investment reoriented towards contemporary nutritional challenges will give high returns to investment. [ABSTRACT FROM AUTHOR]

We investigate the consumer side of the Tanzania rice market with the primary objective of estimating price elasticities of imported and domestically produced rice. Previous studies of the rice market in Tanzania claim that domestic rice is implicitly protected by consumer preference of its perceived better quality. However, rice producers increasingly complain that imported rice adversely impacts the price of domestic rice. Using household consumer survey data, we estimate price and expenditure elasticities of imported rice, domestic rice, and maize to assess their substitutability in the Tanzanian diet. Our results show that Tanzanian consumers have a preference for domestic rice varieties with weak substitutability between domestic and imported rice varieties. [ABSTRACT FROM AUTHOR]

The article examines gender differences in agricultural productivity using panel data for Tanzania. At the national level, there is weak evidence of mean differences in productivity between male and female plots, but conditional on manager characteristics, plot characteristics, inputs, and crop choice, plots managed solely by a woman are consistently found less productive than all other plots. An Oaxaca-Blinder-type decomposition reveals that important factors explaining the gender differential are plot area and family labor. Women are able to obtain higher yields on smaller plots farmed with less male labor and more female labor and thus cover the gender gap in productivity at the aggregate level, but there are still significant unobservable factors which contribute to widening the gap. [ABSTRACT FROM AUTHOR]

This article examines the driving forces behind farmers' decisions to adopt improved pigeonpea and maize and estimates the causal impact of technology adoption on household welfare using data obtained from a random cross-section sample of 613 small-scale farmers in Tanzania. We use seemingly unrelated and recursive bivariate probit regressions to test the endogeneity and joint decision making of pigeonpea-maize production. A double hurdle model is used to analyze the determinants of the intensity of technology adoption conditional on overcoming seed access constraints. To address the impact of adoption on welfare, the article employs both propensity score matching and switching regression techniques. Results from bivariate probit models show that unobservable factors cause both decisions to be correlated but the finding does not support the conjecture that both decisions are made jointly. Overall the analysis of the determinants of adoption identifies inadequate local supply of seed, access to information, human capital, and access to private productive asset as key constraints for pigeonpea technology adoption. The causal impact estimation from both the propensity score matching and switching regression suggests that maize/pigeonpea adoption has a positive and significant impact on income and consumption expenditure among sample households. [ABSTRACT FROM AUTHOR]

Dry-land legumes, well adapted to drought-prone areas, have largely been neglected in the past despite the good opportunities they offer for income growth and food (and nutritional) security for the poor. This study evaluated the adoption and impact of two farmer and market-preferred and disease-resistant pigeonpea varieties that were developed and promoted in semi-arid Tanzania. The new varieties were resistant to fusarium wilt, a fungal disease devastating the crop. However, farmers wanting to adopt new varieties did not adopt due to seed access constraints and under-developed seed delivery systems. Adoption of new varieties is therefore analyzed using an augmented double hurdle model that allows estimating variety adoption conditional on seed access thresholds accounting for the additional information on sample separation. The study identifies the crucial role of seed access (local supply), extension, education, participatory decision making, capital, and household assets in determining adoption. The social economic benefits of the technology and policies for improved seed access were further analyzed using the extended economic surplus method (DREAM model). Even under restrictive assumptions, overall discounted benefits were found to be quite attractive, indicating the need for additional efforts to scale-up the success story. Analysis of changes in research benefits from relaxing the seed access constraint showed that net gains would increase by up to 30% if farmer access to improved seeds can be assured. Smallholder farmers are the major beneficiaries along with consumers and rural net-buyers who gain from productivity-induced lower market prices. [ABSTRACT FROM AUTHOR]

Despite improvements in production incentives, agricultural output in Africa remained sluggish through the 1990s. Low use of purchased inputs may be part of the cause of persistently low productivity in African agriculture. This article analyzes the roles of relative prices and transactions costs in explaining low use of chemical inputs among Tanzanian coffee growers. A sample selection model indicates that output prices exert great influence on input purchases and that both fixed and variable transactions costs affect input use decisions. Travel costs in input and output markets have distinct effects on input usage, implying distinct avenues for interventions to promote more intensive use of agricultural inputs. [ABSTRACT FROM AUTHOR]

Undernutrition and malnutrition are still problems of unacceptable proportions in many developing countries. However, the debate on the roles of income and other socio-economic variables such as women’s education and household size on food and nutrient demand continues. This study examines the demand for food and nutrients amongst households in Tanzania, using recent survey data. A quadratic almost ideal demand system (QUAIDS) is employed to estimate price and expenditure elasticities, as well as the impact of socio-economic variables on food demand patterns. A moment-based instrumental variable approach is then used to analyse the determinants of nutrient demand. The results show that income and other socio-economic variables exert significant effects on the demand for food and nutrients. The estimated expenditure elasticities for the nutrients range from 0.307 for iron to 1.26 for Vitamin B12. The elasticities are higher for those micronutrients that are consumed through animal products and lower for those micronutrients that are mainly obtained through staple foods. These results reflect the higher expenditure elasticities for meat, fish, eggs, milk, and milk products, as well as fruits and vegetables, relative to cereals and pulses, reinforcing the assertion that the demand for Vitamins A and B12, as well as calcium and zinc will increase with rising income. [Copyright &y& Elsevier]