Peanut is an important crop for farmers in Haiti. Currently, very limited information is available on farmers’ yields, production practices as well as post-harvest practices that reduce aflatoxin prevalence and increase food security.
A household survey from Haiti and regression analysis are used to examine peanut production among small female and male-headed households in terms of yield and post-harvest practices (use of tarps for drying and sorting) which are very important for preventing aflatoxins.
We find that yields are low (average 270 kg/ha) compared to more developed countries (more than 2000 kg/ha) and there is substantial room for improvement. Female-headed households have lower yields compared to male-headed households and farming on a slope imposes a penalty on peanut yields. We did not find significant differences between male and female-headed households on post-harvest practices when it comes to the use of a tarp for drying peanuts, but households where decisions were made jointly are more likely to use a tarp.
There is substantial room for improving peanut yields among smallholder farmers in Haiti. Households with more access to capital, as measured by off-farm income and receiving remittances, are associated with an increase the likelihood of tarp use, which may reduce levels of aflatoxin contamination. In addition, saving more seed and joint decisions are associated with an increased level of sorting efforts, which will lower aflatoxin prevalence and increase food security.
With the world’s population projected to grow to 9 billion in the next few decades, food security remains one of the most important challenges . With most of the population growth expected to come from developing countries, food production must grow by 70% and producing more food will largely depend on increasing crop yields not farming more land . Gender equity access to productive assets  and the use of post-harvest technologies  have been identified as important means to increase productivity and increase food security. This article focuses on Haiti which is one of the poorest countries in the Western Hemisphere and imports more than half of the food it consumes. As of 2018, it ranked 168 out of 189 in the Human Development Index . Haiti has chronic issues of food security, and the average caloric intake is 73% of the World Health Organization’s recommended minimum . Haitians rely heavily on remittances from abroad, representing about one-fifth of the gross domestic product in recent years . More than 50% of the households live in rural areas, and their primary source of income comes from farming activities. Formal employment is minimal (13 percent); thus, agriculture and urban informal sectors provide most of the employment opportunities . Most Haitian households are still very poor even though extreme poverty decreased in Haiti from 31 percent in 2000 to 24 percent in 2012 . Gender inequality is prevalent in Haiti, where women are often considered second-class citizens . For example, it has been reported that families will often preferentially invest in the education of male children at the expense of female children .
Peanuts are a vital consumption and cash crop for smallholder farmers in Haiti, especially where the average subsistence farm is about 1.8 ha, and many farms are located on steep slopes of more than 20° . Peanut yields in Haiti are quite low, but can be increased by as much as tenfold as they are found in controlled trials in Haiti. The average yield in the sample is 270 kg/ha, while Fulmer et al.  conducted controlled input and variety trials in Haiti found yields of over 3000 kg/ha. Even in low-input field conditions, yields should be able to double or triple from the 270 kg/ha yield estimate. During the last decade, there have been multiple efforts to increase peanut productivity in Haiti, some funded by the United States Agency for International Development (USAID) . Haiti was part of the USAID’s Feed the Future program to increase food security, poverty, and malnutrition in developing countries . As a result, scientists from US universities collaborated with Haitian scientists to evaluate new varieties and improved production practices to increase yields and improve quality.
In addition to low yields, another critical challenge for peanut productivity in Haiti is the prevalence of aflatoxins. Aflatoxins are toxic metabolites produced by Aspergillus fungi  and linked to a range of severe health issues in humans and livestock throughout the world . Aflatoxin exposure is a significant risk factor for hepatocellular carcinoma, especially when hepatitis B infection is present. Recent evidence suggests that aflatoxin may be an underlying determinant of stunted child growth and may lower cell-mediated immunity . Filbert and Brown  found aflatoxin prevalence in Haitian peanut butter in 16 out of 18 samples that were contaminated above the United States Department of Agriculture (USDA) threshold level (> 20 parts per billion ppb), and 11 were above 200 ppb, with a maximum of 700 ppb. They also found that hand sorting to remove broken and visibly damaged kernels is effective and reduces aflatoxin concentration by 97 percent. They further recommended sorting before storage and again before using it into food products. Similarly, Schwartzbord and Brown  found high levels of aflatoxin (> 20 ppb) in 14 percent of the raw peanut samples (n = 21) and 94 percent of peanut butter samples (n = 32) from samples collected in Port-au-Prince and Cap Haitian. In addition to sorting, as explained in more detail later, using tarps for drying peanuts, as opposed to spreading on bare soil, which is a common strategy used in developing countries, is also an effective way to reduce aflatoxin levels. Magnan et al.  conducted randomized control trials with peanut farmers in Ghana and found that tarp distribution can reduce aflatoxin levels by up to 30 percent.
Despite the economic, nutritional, and cultural importance of peanuts in Haiti , and the prevalence of aflatoxin, very little has been documented about the role of gender, production practices, yield, and post-harvest management for peanut at the household level. To our knowledge, this study is one of the first attempts to explore those factors that affect peanut production and post-harvest management in Haiti. The objective of this paper is threefold. First, we have evaluated the socioeconomic and selected environmental factors that affect peanut productivity in Haiti relative to yield. Second, we have examined gender differences in productivity between male and female-headed households, as evidence suggests productivity and input allocation differences among male versus female-headed households (e.g., [28, 36]) Third, we have evaluated factors that affect post-harvest management practices that reduce loss and improve food safety specifically by reducing aflatoxin contamination, including evaluation of differences between male and female-headed households. Ultimately these findings will contribute to a better understanding of factors affecting production and current practices for aflatoxin prevention. By documenting these findings, we hope to indicate potential avenues for improvement in both quantity and quality of peanut as it constitutes an essential part of the cropping portfolio for thousands of farmers in Haiti and other developing countries.
To answer these questions, we analyzed data from a survey of peanut producing households collected in the Central Plateau region and the Northeast region in 2014. The questionnaire inquired about peanut varieties, production practices, prices, inputs, household wealth indicators, livestock holdings, and agricultural and non-agricultural economic activities. The questionnaire also included questions about post-harvest practices, which are important for aflatoxin control.
The rest of the paper is organized as follows: “Peanut production in Haiti and related literature” section provides further background information on peanut production in Haiti and related literature documented in preparation of the survey instrument, while “Materials and methods” section describes materials and methods. Results are discussed in “Results” section, and discussion and conclusions are provided in “Discussion and conclusions” section.
Peanut production in Haiti and related literature
Due to the limited number of peer-reviewed publications related to peanut production in Haiti, preliminary formative research in the form of key informant interviews and review of grey literature (e.g., ) were conducted in order to provide context and prepare the survey instrument.
Despite the limited acreage of peanut produced in Haiti, peanuts provide significant economic value to smallholder farmers in the areas of the country where planted. The 2009 agricultural census conducted by the Ministry of Agriculture, Natural Resources and Rural Development (MARNDR) estimated that 70,112 farms produced peanut or 7.2 percent of the total. By comparison, 75.2 percent produce maize, and 48.7 percent produce pigeon pea (unpublished). Peanut is grown throughout the country, but, as shown in Fig. 1, the primary production regions are the Northeast and the Central Plateau, along the border with the Dominican Republic  and these two regions account for about 70 percent of the peanut production in Haiti. Due to its relatively limited requirements for soil fertility as a legume and drought tolerance, peanut production is quite common in these regions where rainfall is limited, and soils are often sandy or heavily eroded. Like most agriculture in Haiti, peanut production is dominated by smallholder farmers with 1/4 to 1 ha lots on average. Between 2010 and 14, the FAO estimates yields to be between 850 and 950 kg/ha . However, empirically measured yields reported of peanuts are about 300 kg per ha, due to low soil fertility, periodic drought, and poor quality seed , and our data are more in line with these findings.
There are two distinct production regions differentiated by rainfall patterns, cropping cycle, and the dominant peanut variety, as confirmed by our data. The Northeast region is marked by a less distinct seasonal rainfall pattern, allowing for less constrained planting dates and two longer planting seasons, roughly March to July and August to December, with the first season usually having a higher planted area. Most farmers in this region prefer a small-seeded local landrace Runner-type variety peanut that requires roughly 130 days to mature. This variety has a branching habit, slightly higher yield potential, and is regionally preferred for peanut butter, due to its higher oil content. The Central Plateau is marked by shorter duration, more defined rainy season in the spring and summer months, and is dominated by a small-seeded, landrace Valencia-type variety with a distinct red seed coat and a shorter cropping duration of roughly 80–90 days. The short duration and lack of seed dormancy allow for two successive crops in the spring and summer, with the first planting generally more extensive. This variety also has a more upright, bunch-type growth habit, which allows for smoother manual harvesting.
Traditional production practices consist of several basic stages (land preparation, seeding, weeding, digging, threshing, drying, sorting, and marketing). Both men and women participate in the production, but informants all noted that certain stages are generally more associated with a specific gender. Field preparation and digging at harvest, which are more physically demanding are mainly done by men. Both men and women participate in seeding and weeding, but more responsibility in post-harvest activities, including threshing/plucking, drying, sorting, and marketing is taken over by women. Almost all activities are done manually, though some land preparation, as our data below indicate, is accomplished through tractor or animal traction. Our data also confirm that currently few inputs (i.e., pesticides, fertilizer) are used beyond land, seed, and labor, but the costs of each of these inputs are limiting to timely planting, establishing adequate plant populations, and improving potential yields.
Peanuts are an important crop in many developing countries, and despite the paucity of literature for Haiti, there have been numerous studies for other countries related to our particular topics of interest. For example, Tanellari et al.  found in Uganda that female-headed households are less likely to adopt improved peanut varieties compared to male-headed households, demonstrating gender differences in technology adoption. Similarly, Launio et al.  examined factors associated with increased adoption of agricultural technology for peanut farming and found training, gender, membership in organizations, and family size to be the most important factors affecting these decisions. Ibrahim et al.  used household data from Northern Ghana and found that organizational membership, location, and owning a bicycle were associated with an increased probability of adoption. Generally, studies in developing countries find that adopting improved peanut varieties and agricultural technology (including fertilizer, improved agronomic practices, etc.) improves household income and lowers poverty (e.g., [18, 22, 31]).
Materials and methods
The data used in this paper were collected through a survey conducted in the Northeast and the Central Plateau in 2014 in collaboration with Acceso Haiti.Footnote1 These sites were chosen because traditionally, they are important for peanut production in Haiti and are also subject to ongoing efforts aimed at improving peanut productivity with several international and local organizations, including Acceso Haiti, a for-profit social agribusiness working with over 2000 peanut farmers in the two regions.
The farmers were located across different villages where Acceso had a presence at the time. They were present in 3 villages in the Northeast close to the Dominican border and in 16 villages in Central Plateau. They provided a list of all farmers engaged in peanut farming in each village and based on the population of each village we randomly chose 160 households from the Northeast and 390 households from the Central Plateau. The survey was administered in Haitian Creole (the local language) by trained local enumerators. A pre-survey test was conducted prior to the main data collection effort. Two local enumerators along with a supervisor conducted the survey in the Northeast region, and four enumerators, along with a supervisor, conducted the survey in the Central Plateau. The survey resulted in a total of 507 farmers consisting of 152 farmers in the Northeast and 355 farmers in the Central Plateau. The survey was conducted in 2014 from the beginning of September until mid-October and covered peanut production in the spring season in both regions. The farmers were asked a series of questions on the household composition, income, peanut production practices, livestock, on and off-farm work, etc. Table 1 provides a description of the variables of interest in peanut production, household demographics, and livestock holdings, and their summary statistics.
Gathering accurate yield data is challenging, especially when relying on farmer recall and widely variable local measures of both area planted and harvested mass . Peanut in Haiti is most often measured and sold volumetrically using reused #10 cans called marmit(s), which can lead to highly variable weights based on seed size . Farmers reported yield in local metrics, which were converted standard metrics (kg). The yield was not reported from all farmers interviewed, and from those that reported yields, we see a substantial dispersion of yields with a mean yield of 271 kg/ha and a standard deviation of 483 kg/ha. Twenty-one percent of the households interviewed were female-headed households, and the rest were male-headed households. An additional question was asked about decision-making related to farming/working the land (for example, whether or not to buy inputs, pay labor, harvest timing and labor, and selling of the harvested peanuts) and 59 percent responded that they make decisions jointly, 10 percent responded that the wife makes the decisions and 31 percent responded that the husband makes the decisions.Footnote2 The educational level of the households was low, with 23 percent reporting no schooling and 48 percent reporting only primary education. Questions about livestock suggest that goats are ubiquitous (76 percent of households had goats) in these regions, and 68 percent of them also raise cattle.
Additional information on the peanut varieties, peanut production, drying, and storage practices are reported in Table 2. From the data, it is apparent that farmers in the Northeast exclusively use the local Runner variety while farmers in the Central Plateau use the local Valencia variety. More than half the farmers (56 percent) saved seed from the previous year, indicating that farmers do rely mostly on recycling seed; however, a significant portion buys seed from the market annually. About 43 percent of the production takes place on land where half or more of the area is sloping land, suggesting that mechanization could be challenging on a significant part of the planted area. Almost all farmers (97 percent) report weeding as a standard practice, but only 11 percent reported using fertilizer.
As mentioned above, aflatoxins are a severe problem in peanuts, and their prevalence is highly dependent on post-harvest practices, including drying and storage . Knowledge of aflatoxins is present in only 31 percent of the respondents and 24 percent of the households had difficulties selling their peanuts.Footnote3, Footnote4 Statistics on drying practices suggest that 43 percent of the farmers dry their peanuts on bare soil, which increases the likelihood of aflatoxin contamination since Aspergillus flavus is a soil fungus and continued soil contact increases drying time (Hofmann et al. 2017). Fifty-one percent of the farmers dry peanuts on a tarp, which is considered an improved drying practice, because it separates the peanuts from the soil, which is a continuous potential source of aflatoxin producing mold, reduces drying time, and allows for more comfortable collection or covering in case of rain or during the evening due to security.Footnote5 Results on the length of the drying period are mixed with 35 percent of the households drying peanuts for 4–5 days, the minimum length of time estimated to achieve optimal moisture content (< 10 percent) to inhibit continued mold growth and aflatoxin production. Results also indicate that 95 percent of the households sort peanuts to some degree before storage, another improved practice for aflatoxin control. In addition to asking farmers whether they sort or not since this is a common practice, we attempted to evaluate farmer’s level of sorting by asking a follow-up, open-ended question to identify which types of peanuts should be removed and considered this answer as a proxy of sorting intensity. Farmers mentioned that they sort out moldy, immature, and broken peanuts. An additional dummy variable is created, which is equal to one if the farmer mentioned that they sort all types of high-risk peanuts (moldy, immature, and broken peanuts) . Results show that 27 percent of farmers independently mentioned sorting all types of high-risk peanuts. Concerns have been raised that increased sorting may lead to increasing concentrations of aflatoxin in peanuts that may still be consumed by the poor or fed to livestock, so additional questions were asked related to what was done with the sorted peanuts. Most respondents replied that they threw them away, and 7 percent of the households use bad peanuts as fuel for cooking fires. Finally, our data suggest that storage takes place mainly at home (79 percent of households), with the remaining 21 percent at a depot.
Two types of models are used in this paper. The first is a standard regression model of the form:
where Yi is the dependent variable (which in our case is the logarithm of yield), Pi is a vector of control variables which describe production characteristics (including the type of peanut variety, whether the farmer uses irrigation and fertilizer, who makes decisions concerning production, etc.). Xi is a vector of variables that include household demographics, and εi is the error term. Many studies on agricultural productivity in developing countries (e.g., [9, 42]) highlight the importance of credit availability and remittances on agricultural productivity and adoption of new technologies. We include remittances in our model, since there are limited formal credit markets reported for peanuts in rural Haiti. For example, Ngyen et. al.  find that rural households who receive remittances from migrants increase their land productivity. However, remittances come from migration which reduces the labor needed for agricultural activities in rural areas and they also contribute to household income which may affect investment in agriculture and productivity making remittances and yields endogenously determined [7, 30]. We include the ownership of cattle, pigs, goats, or a horse as a proxy for wealth. Other variables included in the regression analysis are fertilizer use, owning a horse,Footnote6 slope of the field, and the variety of peanuts planted, which are standard production variables included in such studies. Household characteristics include whether the household is headed by a male or a female which may uncover important productivity differences [28, 34, 36], the level of education, which is also found to affect productivity in studies [1, 2], the number of adults in the household, which is a proxy for labor availability, whether the decisions are made jointly or by the female, as opposed to the male, and farming experience. Multicollinearity among explanatory variables may be a problem in our case. A variance inflation factor test for multicollinearity was applied, and the value was around 5, which is well below the threshold value of 10, suggesting that multicollinearity is not an issue in our specifications.
The second type of model used is a probit model where the outcome is a dummy variable (which in our case is equal to one, if (1) the households dry their peanuts on a tarp, if (2) the household has any knowledge on aflatoxinsFootnote7 and if (3) the household sorts all types of bad peanuts (i.e., the highest level of sorting intensity), and it is equal to zero otherwise). The model is specified as follows:
where Yi represents a binary outcome variable, β is a vector of parameters to be estimated, Xi is a vector of explanatory variables and ui is the error term. Assuming that ui is normally distributed, a probit approach can be used to model the probability of adoption:
where ϕ (.) is the standard normal distribution function. The model will estimate the effect of Xi on the probability of the outcome variable being equal to 1 and is run three separate times, once for each dependent variable. Control variables in the probit model are similar to the ones used in Eq. (1). There is also concern for potential endogeneity between remittances and the use of tarp.Footnote8
We present three sets of estimates. The first set of estimates relies on Eq. (1) and examines the determinants of yield (the dependent variable is the logarithm of yield) (Table 3). The second set of results uses probit models to examine factors that affect the probability of having any knowledge of aflatoxin and the probability of the use of tarp for drying (Table 4). Finally, Table 5 illustrates the results of the probit model with respect to sorting (Eq. 3).
Results in Table 3 illustrate the factors that influence peanut yield, where the dependent variable is the log of peanut yield. Results suggest that female-headed households have 22 percent lower yields compared to male-headed households.Footnote9 The difference in yields between the Northeast and the Central Plateau, as well as the yields of Runner and Valencia varieties, are not statistically significant (p-value = 0.58). Runner varieties are more popular in the Northeast, while Valencia varieties are more popular in the Central Plateau. Results from the full sample suggest that when the decisions are made jointly, the yields are about 15 percent higher (p-value = 0.09) compared to those in households where the husband makes the decisions. Contrary to what one would expect, fertilizer use is (weakly) negatively correlated with yields and is not significant (p-value = 0.44). The result on the effect of fertilizer use on peanut yields in Haiti is similar to the one from Baffoe-Bonnie and Kostandini , who also found a negative effect. Farmers who also have other jobs besides agriculture appear to gain about 23 percent higher yields (p-value = 0.04), suggesting that they may use some of the extra income to use more inputs in the production, such as hired labor for weeding. Finally, as expected, farmers that have more than half of their production on sloping land experience peanut yields, which are 27 percent lower than farmers that do not have more than half of their production area on sloping land, and this finding is consistent across all specifications.
Aflatoxin knowledge and tarp use
The next part of the analysis focuses on aflatoxin knowledge and the use of a tarp for drying. Results for this part are reported in Table 4, where the dependent variable is a dummy variable indicating whether the household has knowledge about aflatoxin (columns two and three) and whether the household uses a tarp for drying peanuts (last two columns). With respect to aflatoxin knowledge, results suggest that households in the Northeast and those that have interacted with an organization are a lot more likely to have heard about aflatoxin compared to households in the Central Plateau. Meds & Food for Kids and other organizations such as Food and Agriculture Organization (FAO), who are focused on peanut production and peanut-related products, are present in the Northeast, and farmers may be familiar with these groups and their training materials or product specification requirements for sales. Households that consume more peanuts throughout the year, those that receive remittances from abroad, and those with more years of cultivating peanuts experience also have a higher likelihood of aflatoxin knowledge. Finally, households, where the decisions about peanut production are made by the wife are less likely to know about aflatoxin, which may be explained by how men and women may have different access to peanut production information related to local development initiatives.
The results on the tarp use for drying peanuts suggest that farmers in the Northeast are less likely to use a tarp. This is a bit surprising as they are more likely to be aware of aflatoxin than the households in the Central Plateau, though overall levels of awareness are low (31 percent), and farmers may not make the connection between aflatoxin contamination and tarp usage. Households are also more likely to use a tarp for drying peanuts when both the husband and the wife make decisions together, and, in our sample, about 59 percent of the households stated that they make decisions together. In addition, households with remittances from abroad and those that also have some type of off-farm income (other jobs) are more likely to use a tarp compared to those with no remittances or off-farm income, suggesting that wealthier households are more likely to be able to afford a tarp and to use it for drying peanuts. Given that tarp use was found to reduce aflatoxin levels by up to 30 percent in Ghana , identifying methods that will increase tarp use, such as microcredit or subsidies for tarp purchases by targeted farmers will be important in lowering aflatoxin prevalence. Tarp use appears to be negatively correlated with peanut consumption. More specifically, the marginal effects coefficient on peanut consumption suggests that a 1 kg increase on peanut consumption per year is associated with a 2 percent decrease in the likelihood of using a tarp for drying peanuts.Footnote10 Thus, as peanut consumption increases, the likelihood of using tarp decreases. This suggests that farmers who use tarps may have a stronger market orientation. Finally, households that report saving seed from the previous year are found to be less likely to use a tarp.
Results from the probit model, where the dependent variable is a dummy variable equal to one if the farmer was ranked as our highest level of sorting intensity (mentioned using all the types of targeted high-risk peanuts- immature, broken and moldy) and zero otherwise, are presented in Table 5. As mentioned, the dependent variable here is a proxy for the intensity and awareness that respondents put into sorting out the high-risk peanuts. Even though almost all (95 percent) of respondents stated that they sort their peanuts, only 27 percent of the respondents effectively listed the targets of the sorting (immature, broken, and moldy). There is a strong disincentive for farmers to heavily sort their peanuts in Haiti since the product is measured volumetrically using a standard-sized #10 can (marmit), and there are no grade standards and a limited level of quality valuation. Therefore, this study was also interested in ascertaining some measure of the quality of sorting. As mentioned above, while it is impossible to measure the effectiveness of sorting in a questionnaire format, using an open-ended question format, we created a metric using the depth of response to the question relating to which types of high-risk peanuts should be removed. So, we create a dummy variable equal to one if the household sort immature, broken, and moldy peanuts and equal to zero if they sort only one or two of the three. Thus, one means that the quality of sorting is of higher intensity. The coefficients of the probit model, where the dependent variable is whether the household sorts all three types of bad peanuts, are reported in column two, and marginal effects are presented in column three. There are three main findings from these results. First, households that use a tarp for drying peanuts have a 32 percent higher chance of more stringently sorting compared to households that did not rank on the sorting intensity metric, suggesting that tarp use is positively associated with increased efforts in sorting. Second, results indicate that households that saved seeds from last season have a 36 percent higher probability of more stringently sorting their peanuts compared to households that did not save seed from last season. This suggests that households that use part of their peanut production for seed are more careful in sorting their peanuts compared to those that do not. Third, findings indicate that households, where decisions are made by both the husband are 9 percent more likely to more stringently sort their peanuts compared to households where one of them makes the decisions related to peanut production and post-harvest practices independently.
Discussion and conclusions
This study provides evidence on peanut yields and peanut production practices in Haiti using a recent household survey. The study finds that there is a large yield gap between reported and realistic potential yield, suggesting that using improved production practices should generate higher yields, resulting in increasing food security and the welfare of smallholder farmers in Haiti. For example, Fulmer et al.  showed using fungicides, and improved management practices can potentially increase yields by as much as ten times, even with traditional varieties . A very low level of input use is found, suggesting that programs and policies that will increase the availability of appropriate inputs, such as targeted fungicide applications, may help peanut farmers significantly increase yields.
Other issues examined include the social and environmental factors associated with higher yields and factors that affect the use of a tarp for drying peanuts among farming households in the Northeast and the Central Plateau in Haiti. The study provides evidence that female-headed households are less productive in terms of yield than male-headed households. In addition, our findings suggest that remittances from abroad are positively correlated with yield. These findings are likely related in that wealthier households with available cash are more likely to use more inputs, such as additional seed or labor. Conversely, the data show that farming of peanuts on steep land, which is common among Haitian farmers, puts a penalty of as much as 24 percent or more on peanut yields. Likewise, during the formative research period, the concern for the impact of peanut farming on exacerbating soil erosion was raised by MARDNR and other NGOs relative to their interest in promoting peanut in the country. This finding related to the yield penalty suggests that farmers in Haiti could greatly benefit from methods that improve productivity for sustainably farming on sloping land or should consider alternative crops to peanuts. Studies (e.g.,  have found increased productivity when using methods that promote soil conservation on slopes, so focusing such methods in Haiti and their effect on peanut productivity could be an area for future research.
Results suggest that households with more access to capital, as measured by off-farm income and receiving remittances, are associated with an increase in the likelihood of tarp use, which may reduce levels of aflatoxin contamination . In addition, aflatoxin awareness increases among households that are situated in the Northeast where there is more presence of organizations that work on increasing peanut productivity and want safer and higher quality peanuts for their peanut-related products (e.g., Meds & Food for Kids). Thus, programs that improve aflatoxin awareness and programs that lower liquidity constraints for small peanut farmers may have positive effects on peanut productivity, aflatoxin awareness, and increase tarp use among Haitian smallholder farmers. Efforts to intensify sorting and educate farmers on the benefits of sorting may also be very beneficial not only for farmers but also for the consumers and aggregators. In addition, encouraging joint decisions when it comes to peanut production and post-harvest practices, promoting tarp use, and saving more seed may also increase the level of sorting efforts, which will lower aflatoxin prevalence and increase food security.
Overall, our findings suggest that peanut farmers in Haiti and other developing countries where yields are still comparatively low could benefit from programs that target improved access to production resources targeting female producers, increased access to inputs with proven return on investment, as well as programs that increase awareness on post-harvest practices that affect peanut quality and increase food security. This study focuses on 2014 data, and this may not be a typical year for agricultural productivity in Haiti, as it experienced some drought in that year . Future studies that include additional information on household decision-making and panel data may provide fruitful insights on peanut production in Haiti.
The survey was approved by the University of Georgia Institutional Review Board (IRB ID # STUDY00000870).
We need to make the reader aware that the answer to this question may be subjective based on the person we interviewed in the household. We did not interview all the household members that make decisions to ensure that we had a consensus on the answer to this question.
Selling difficulties are not necessarily related to aflatoxin since no one tests for aflatoxins except MFK and Acceso Haiti.
The exact question on the questionnaire on aflatoxin knowledge was, “Are you familiar with aflatoxin in peanuts?” This captures whether the farmer has any knowledge of aflatoxins in peanuts, and it is a general question that was asked to get an honest response from farmers.
These are subsistence households, and they are not aware of the potential adverse health effects from not appropriately drying peanuts and may not realize that a tarp is better than just laying them on the ground.
Owning a horse can be both a wealth indicator and a productive asset since tractor use is very limited in Haiti, and some farm work is done with horses.
Since aflatoxin prevalence affects the price of peanuts and their safety we are trying to uncover channels that are associated with a higher probability of knowledge on aflatoxin such as education, working with an organization, household size, consumption, the structure of decision making in the household, etc.
Following Bierkamp et al.  we use the highest level of education as an instrument for remittances and fail to reject the null hypothesis that the variables are exogenous for Eq. (1) as well as the probit model on tarp use.
We also included other variables and additional restrictions on the data sample in additional specifications, and the main results hold.
Marginal effects are available upon request.
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