Willingness-to-Pay for Halal and Branded Poultry in Northern Mozambique

While price typically drives consumers’ food-purchasing decisions in low-income countries, religious attributes associated with food production and corporate branding could influence buying patterns. In Mozambique, more than 46% of people were living below the poverty line of ($0.31 USD) per day in 2018. That being said, in the Nampula Province (the location of this study), which is the second poorest province in the country, over 25% of the population is Muslim and may be willing-to-pay (WTP) a premium for Halal meat products to uphold Islamic beliefs. Like many parts of sub-Saharan Africa, poultry is the fastest-growing source of protein. Since large-scale domestic poultry industries are relatively new in Mozambique, brand loyalty is a new concept that has not been empirically analyzed before in the literature. In this study, we surveyed 312 consumers in Nampula, Mozambique, using a choice-based modeling approach to estimate if consumers were WTP for chicken that was slaughtered according to Halal laws and chicken which was branded by New Horizons (the largest chicken producer in Nampula). Results from the small sample in this study indicated that even in low-income countries like Mozambique, consumers are WTP a premium for branding. Specifically, Muslim consumers were WTP a premium for Halal-produced meat with branding. While non-Muslims did associate Halal poultry with being safer (69%) and of better quality (64%), but they were not found to be WTP a premium for these attributes

Increasing Low-income Residents’ Access to Fresh Produce through a Local Mobile Pantry

Seeds that Feed (STF) is a mobile food pantry located in Fayetteville, Arkansas. STF receives produce from local farmers to distribute to residents in low-income housing sites throughout Northwest Arkansas. According to Feeding America, food insecurity affected 14.3% Washington County, Arkansas’ population in 2016. The purpose of this study was to determine if STF’s model is an effective way to increase individuals’ access to fresh fruits and vegetables and increase their potential to meet the United States Department of Agriculture’s Food Patterns (USDA-FP) for to fruit and vegetable consumption. Twenty-three participants from three sites completed the study. A survey was used to collect basic demographics and dietary patterns. Record was taken of what foods each participant received on the survey day including plans for preparation and to whom it would be served. All anonymous responses were statistically analyzed using Excel. The results indicated that the likelihood to meet the USDA-FP for overall fruit and vegetable intake increased significantly after receiving approximately one cup of fruit and 1 ½ cups of vegetables from STF. A positive correlation was found between the number of times participants received produce from STF and participant’s total fruit intake and total intake of the “red/orange” and “other” vegetable subgroups. Therefore, STF’s model appears to be an effective method to increase access to fresh produce. Future research could utilize STF’s model to assess the potential for other supplemental nutrition programs to help low-income residents meet the USDA-FP and reduce food insecurity via mobile pantry

Increasing Profitability of Small Scale Orchard Producers through Optimizing Replacement Rate: The Case Study of Ghana

This study sets out to empirically estimate the optimum annual replacement rate and age of cocoa trees in order to maximize the net present value of four common cocoa production systems. The study examines the costs and returns of four common cocoa production systems in Ghana associated with changes in cocoa prices, fertilizer prices, inflation rates, and labor prices. While this study focuses on cocoa, the methodology is applicable to any perennial crop. This study uses empirical yield curves and cost of production data from Ghana to determine when and what percentage of a cocoa orchard should be replaced annually to maximize net present value of revenues over time. Successive versions of the model are solved to determine how input and output price changes affect optimal replacement rates and replacement ages. Producers in both high- and low-income countries are reluctant to cull still productive assets, such as trees that are diminishing in yield over time. The Excel based model developed in this study could provide extension personnel with a simple yet powerful tool to illustrate to producers the benefits of systematic tree replacement. This study provides strong evidence of the benefits of replacing trees at the optimal time and rate.Cocoa, Replacement Rate, Net Present Value (NPV), Production Economics, Q01, Q15, Q32,

In-Store Evaluation of Consumer Willingness to Pay for “Farm-Raised†Pre-Cooked Roast Beef: A Case Study

A choice-based conjoint experiment was used to examine consumer willingness to pay for a farm-raised pre-cooked roast beef product. Consumers were contacted in a grocery store and provided a sample of the pre-cooked product. Findings indicate there is a small, but statistically significant willingness-to-pay premium for the farm-raised product, suggesting that some product differentiation may result in higher prices for these products. The study outlines an approach to marketing research.beef, conjoint, convenience foods, experiments, in-store tests, surveys, Livestock Production/Industries, Marketing,

An optimal phased replanting approach for cocoa trees with application to Ghana

Abstract This study solves for the optimum replacement rate (ORR) and initial replacement year (IRY) of cocoa trees (Theobroma cacao) in Ghana to maximize net present value and achieve steady state by employing a phased replanting approach. The annual ORR is 5%-7% across the three production systems studied: Low Input, Landrace Cocoa, High Input, No Shade Amazon Cocoa, and High Input, Medium Shade Cocoa. The optimal IRY ranges from year 5 to year 9 as a function of cocoa prices, fertilizer prices, labor prices, and percentage yield loss due to disease outbreaks. Deterministic results project economic gains that exceed currently practiced replacement approaches by 5.57%-14.67% across production systems with reduced, annual income volatility. The method applied in this study can be used to increase cocoa yields and stabilize income over time, and facilitate substantial quality of life improvements for many subsistence cocoa farmers in Ghana and around the world. JEL classifications: Q01, Q15, Q3

Weather, disease, and wheat breeding effects on Kansas wheat varietal yields, 1985 to 2011.

Wheat (Triticum aestivum L.) yields in Kansas have increased due to wheat breeding and improved agronomic practices, but are subject to climate and disease challenges. The objective of this research is to quantify the impact of weather, disease, and genetic improvement on wheat yields of varieties grown in 11 locations in Kansas from 1985 to 2011. Wheat variety yield data from Kansas performance tests were matched with comprehensive location-specific disease and weather data, including seasonal precipitation, monthly air temperature, air temperature and solar radiation around anthesis, and vapor pressure deficit (VPD). The results show that wheat breeding programs increased yield by 34 kg ha⁻¹ yr⁻¹. From 1985 through 2011, wheat breeding increased average wheat yields by 917 kg ha⁻¹, or 27% of total yield. Weather was found to have a large impact on wheat yields. Simulations demonstrated that a 1°C increase in projected mean temperature was associated with a decrease in wheat yields of 715 kg ha⁻¹, or 21%. Weather, diseases, and genetics all had significant impacts on wheat yields in 11 locations in Kansas during 1985 to 2011

How Greenhouse Gas Emission Policy and Industry Pressure Could Affect Producer Selection of Rice Cultivars

This study estimates how potential carbon policies targeted at reduction of greenhouse gas (GHG) emissions could affect selection of rice cultivars by conducting a life cycle assessment of GHG emissions and estimating the carbon sequestered for fourteen commonly sown rice cultivars across Arkansas. Market-oriented carbon-offset credits based on additionality likely would be insufficient to convince producers to change cultivars; nonetheless, there may be upstream pressure as food retailers strive to lower their overall carbon footprints. Given their higher yield per unit of GHG emission, hybrid rice cultivars appear to be positioned to respond to industry demand

Increasing Profitability of Small Scale Orchard Producers through Optimizing Replacement Rate: The Case Study of Ghana

This study sets out to empirically estimate the optimum annual replacement rate and age of cocoa trees in order to maximize the net present value of four common cocoa production systems. The study examines the costs and returns of four common cocoa production systems in Ghana associated with changes in cocoa prices, fertilizer prices, inflation rates, and labor prices. While this study focuses on cocoa, the methodology is applicable to any perennial crop. This study uses empirical yield curves and cost of production data from Ghana to determine when and what percentage of a cocoa orchard should be replaced annually to maximize net present value of revenues over time. Successive versions of the model are solved to determine how input and output price changes affect optimal replacement rates and replacement ages. Producers in both high- and low-income countries are reluctant to cull still productive assets, such as trees that are diminishing in yield over time. The Excel based model developed in this study could provide extension personnel with a simple yet powerful tool to illustrate to producers the benefits of systematic tree replacement. This study provides strong evidence of the benefits of replacing trees at the optimal time and rate