Consumer awareness and willingness to pay for safety of street foods in developing countries: a review

Street food vending is still popular in developing countries despite the giant stride recorded in the areas of food processing and global food supply in the last century. Its contribution to the socio‐economic development of the countries is evidenced by the volume of trade involved and provision of employment for significant portion of rural and urban populace. However, there has been persistent global concern on the risks of street food to the health of consumers because of the attitudes of practitioners throughout the chain. This review summarizes the findings of studies on awareness and perceptions of street food consumers to the hazards involved in street food, and their willingness to pay (WTP) premium for safety intervention. The major limitation to WTP is the extra cost that could result from the implementation of reports of WTP studies which could disenfranchise those consumers that may not be able to afford the premium. This review, therefore, recommends the formulation and enforcement of appropriate public policies that would cover the entire chain of street food vending for the safety of everybody along the chain and the protection of the health of the consumers.     

Terms-of-trade shocks and macroeconomic volatility in developing countries: panel smooth transition regression models

This paper investigates the relationship between terms-of-trade shocks and macroeconomic volatility for a panel of 58 developing countries from 1980 to 2015. Using a Panel Smooth Transition Regression model, we prove first, that terms-of-trade volatility have a statistically significant and positive impact on the volatility of output growth, although the magnitude of this effect is not the same by the report to the threshold that has been identified. Second, the terms-of-trade volatility affect macroeconomic fluctuation differently depending on whether the country is a net exporter of the commodity, fuel or manufactured goods.     

Measuring poverty with noisy and corrected estimates of annual consumption: Evidence from Nigeria

An opportunity to improve measurement and modelling of poverty in Africa arises from recent intra‐year panel surveys that observe household consumption in post‐planting and post‐harvest periods. Observing the same household twice lets an intra‐year correlation be estimated, which can be used to form a corrected estimate of annual consumption. The usual approach surveys consumption for just one short period, like a week or month, and extrapolates to an annual total. This may adequately estimate mean annual consumption for samples spread over a year but overstates dispersion. The resulting noise in consumption estimates inflates measures of poverty and inequality and creates misclassification errors that bias logit and probit models of poverty determinants. This study uses data from the 2012/2013 Nigeria General Household Survey panel to show effects on poverty measures of using annual estimates extrapolated from short‐period surveys. With the corrected extrapolation method that uses intra‐year correlations to adjust for inflated variances, Nigeria's poverty headcount rate falls by one half. Hence, much of the poverty measured in cross‐sectional surveys is transient poverty, for which different policy interventions are needed than for alleviating chronic poverty.