Poverty Impact of Commodity Price Boom Using Household Survey - The Case of Maize in Zambia (original) (raw)

The differentiated effects of food price spikes on poverty in Uganda

This paper applies an integrated CGE-microsimulation model to analyse the impact of the 2006-08 increase in commodity prices on Uganda. Previous impact analysis studies suggested that the food price shock increased poverty in Uganda as there are more net food buyer than net food seller households. We show that the agriculture commodity price shocks were poverty-reducing, but the simultaneous increases in energy and fertiliser prices were poverty-increasing. Overall, poverty decreased in Uganda as a result of external price shocks in the 2006-08 period.

The Impact of Maize Price Shocks on Household Food Security: Panel Evidence from Tanzania

Food Policy, 2019

Using three waves (2008/09, 2010/11, 2012/13) of the Tanzanian National Panel Survey, this study investigates the impact of maize price shocks on household food security. Between 2008/09 and 2012/13, calorie intake stagnated for urban households, yet sharply deteriorated for rural households. The latter was driven by a significant decline in the consumption of the major staple maize which showed strongest price hikes among all major food items. Fixed-effects regressions indicate a clear negative relationship between maize prices and average household energy intake. Almost all population groups were found to be negatively affected by maize price shocks, with rural landless households being the most vulnerable group. In particular, a 50 percent rise in maize prices decreases caloric intake for rural (urban) households on average by 4.4 (5.4) percent, and for rural landless households by 12.6 percent. Results further indicate that subsistence agriculture can act as an effective strategy to insure against food price volatility.

Farm Households' Demand Response to Escalating Food Prices in Nigeria

JOURNAL OF APPLIED ECONOMICS, 2022

This study examined food demand response to rising food prices among farm households in Nigeria using the three waves of the General Household Survey (Panel) conducted between 2010 and 2016. Analysis was within the Quadratic Almost Ideal Demand System framework from which price elasticities and compensated and uncompensated expenditure were computed. The results show that higher prices of almost all of the food categories affected their demand by households. Harvest and location dummies as well as household demographic variables were found to influence household food demand. Poor households consumed less of all the food categories compared to their non-poor counterparts. Escalating prices result in a welfare loss of household expenditure on commodity groups such as rice, wheat, pulses, tuber and other food and non-food items. Overall, 70.1% of the households suffered welfare loss that amounted to an average of 7.52% of the household budget annually.

A Food Demand System Estimation for Rural Malawi: Estimates Using Third Integrated Household Survey Data

In contrast to the myriad of empirical work on food demand in other countries, very few studies have considered zero expenditures on some food groups. Those which have attempted have been based on techniques which result in endogeneity and inefficient estimates which in turn may misinform policy calibration. Improving on methodological flaws of previous studies, the present study censors zero expenditures in the first stage using simulation based maximum likelihood multivariate probit. In the second stage, Quadratic Almost Ideal Demand System which allows for a more realistic assumption of curvature in Engels curve is estimated. In turn, food expenditure and price elasticities are derived. In view of the high expenditure elasticities, considering a policy option that would enhance rural consumer income is desirable, since it will result in high consumption thereby providing more incentives for food production.

Who Wins and Who Loses from Staple Food Price Spikes? Welfare Implications for Mozambique

Policy Research Working Papers

Changes in food prices-triggered frequently by natural disasters, macroeconomic shocks or regional market disruptions-can lead to large household welfare effects. At over 60 and 40 percent, food budget shares remain high in rural and urban Mozambique, respectively. Furthermore, nearly 70 percent of the population depends on agriculture for their livelihoods. To determine the net impact of food price changes on consumption and poverty, we performed incidence analysis combining household and farmer survey data with disaggregated, market-level price data on major staples (maize, rice, and cassava). Overall, we find evidence for a large net negative welfare effect of price rises in rural areas, and a small, negative effect in the urban areas. For instance, A 10 percent increase in maize prices is associated with an average reduction of 1.2 percent in consumption per capita in rural areas and 0.2 percent in urban areas. Not all households are affected equally. Overall, the negative impacts are larger for the bottom half of the distribution. As a result, the sharp food price spike observed in 2016-17 may have translated into a poverty increase of 4-6 percentage points, with some of the poorest provinces bearing much of the brunt. These findings underscore the importance of improving the functioning of agricultural input and output markets, developing early food security warning systems, and increasing the availability of rapidly scalable safety nets.

Effects of food prices on poverty: The case of Paraguay, a food exporter and a nonfully urbanized country

Revista Latinoamericana de Desarrollo Económico

Agriculture in Paraguay plays a key role in economic development and economic growth. Fluctuations in commodity prices have been added to the inherent sector’s volatility linked to climate conditions. Since a vast share of households in developing countries like Paraguay are both consumers and producers of food the welfare effects of commodity prices fluctuations are not obvious: higher prices hurt consumption but benefit production. In this paper we simulate the welfare effects of a potential hike in food prices. We use the traditional agricultural model, households’ survey data and monthly price data for 127 food items. Our main results suggest that the expenditure effect is negative and regressive for all households, but larger in rural than urban areas. The income effect is positive and progressive in rural areas and negligible in urban ones. Therefore, we find that the potential overall impact of a potential increase in food prices in Paraguay has a very flat U-shaped curve eff...

Impact of increasing prices of agricultural commodities on poverty

Rome: FAO, 2008

The present paper attempts to identify the groups of households that most likely will face positive or negative welfare consequences as a result of the continuing food price increases. Using data from household surveys and differentiating urban from rural areas as well as food buyers ...

Distributional Effects of Maize Price Increases in Malawi

Journal of Development Studies, 2014

In the wake of highly volatile world prices of staple commodities, we examine the impacts of increases in maize prices on various categories of households in Malawi. Using household-level data, changes in household income are calculated taking into account the net maize production status of the household and food price elasticities estimated from a censored demand system. While maize price increases have unequivocal deleterious effects on the incomes of urban households, rural households experience differential impacts. Net producing households in rural areas benefit from price increases with households above the poverty line obtaining proportionally higher incomes.

Household consumption and demand for bean in Uganda: Determinants and implications for nutrition security

2016

Pulses are vital for nutrition security and considered a cost-effective option for improving the diets of low-income consumers in developing countries. Sub-Saharan Africa has the highest proportion of people living in extreme poverty and highest per capita pulse consumption in the world. Most studies on pulse demand have largely depended on aggregated data at regional level and there is little information on household level consumption patterns across sub-population groups within the same geographical location. This study uses the most recently collected LSMS-ISA data in Uganda, which is nationally representative, to analyze household food demand, with a focus on bean (Phaseolus vulgaris L.) consumption in order to unmask differences between poorer and better-off households in urban and rural areas. An augmented Quadratic Almost Ideal Demand System (QUAIDS), accounting for censoring, is used to estimate household food demand, where bean is included as its own food group. Household s...

Agricultural Household Models for Malawi: Household Heterogeneity, Market Characteristics, Agricultural Productivity, Input Subsidies, and Price Shocks. A Baseline Report

Regions of Malawi based on household survey data collected for the period 2005-2010. Households are assumed to be drudgery averse and rational given their preferences and the resource constraints and imperfect markets they face. The impacts of varying access to resources, input subsidies, off-farm employment opportunities, and prices during the period of study are simulated. The models in particular demonstrate the vulnerability of land-poor households and their dependence on non-farm income for them to meet their basic needs. Access to improved maize varieties and subsidies may facilitate land use intensification and survival on smaller farms. Price shocks in form of higher fertilizer prices and lower tobacco prices contribute to further impoverishment while the costs of the input subsidy program also reached nonsustainable levels during the period of study. The models give insights about some possible avenues for scaling down the subsidy program towards a more sustainable level. Reduction of subsidies from two bags to one bag of fertilizer per household and concentration of targeting towards more land-poor households can be two important mechanisms. Rather than providing free improved maize seeds it may be better to improve the availability of improved seeds in local markets.