How Big is the Crowding-Out Effect of User Fees in the Rural Areas of Ethiopia? Implications for Equity and Resources Mobilization

Using a nested multinomial logit model, this study investigates the demand “reduction” and “diversion” effects of user fees in rural areas of Ethiopia. The results reveal that an increase in user fees of public clinics, which are the most widely used alternative, can have a significant demand reduction effect on the poorest of the poor. This implies that despite cost recovery has been advocated as an alternative means of health care financing in most of the developing world, increasing user fees may drive the poorest segment of the population out of the health care market unless some protective measures are taken.     

Income and distance elasticities of values of travel time savings: New Swiss results

This paper presents the findings of a study looking into the valuation of travel time savings (VTTS) in Switzerland, across modes as well as across purpose groups. The study makes several departures from the usual practice in VTTS studies, with the main one being a direct representation of the income and distance elasticity of the VTTS measures. Here, important gains in model performance and significantly different results are obtained through this approach. Additionally, the analysis shows that the estimation of robust coefficients for congested car travel time is hampered by the low share of congested time in the overall travel time, and the use of an additional rate-of-congestion coefficient, in addition to a generic car travel time coefficient, is preferable. Finally, the analysis demonstrates that the population mean of the indicators calculated is quite different from the sample means and presents methods to calculate those, along with the associated variances. These variances are of great interest as they allow the generation of confidence intervals, which can be extremely useful in cost-benefit analyses.     

Fruits and vegetables availability for human consumption in Latin American and Caribbean countries: Patterns and determinants

Inadequate intake of fruits and vegetables (F&V) is one of the leading causes of chronic diseases in the world. This study examined the patterns and determinants of F&V availability for human consumption in Latin American and Caribbean countries between 1991 and 2002. The results showed that there were considerable disparities between and within countries and only one-third of the sampled countries (if only 20% wastage is assumed) could achieve the World Health Organization’s recommendation of 146 kg of F&V intake/capita/year. The elasticities estimated from a fixed effect regression also showed that income, urbanization, price, and poverty were some of the important factors that affect the long-term availability of F&V.     

The child health effects of terrorism: evidence from the Boko Haram Insurgency in Nigeria

This study examines the effect of terrorism on height-for-age z-scores, weight-for-age z-scores, weight-for-height z-scores, stunting, and wasting. Using the Boko Haram Insurgency, it compares outcomes in Boko Haram high-active and low-active areas. A difference-in-difference and regression model identifies the extensive and intensive margin effects respectively. The study uses data from the Nigeria Demographic and Health Survey and the Global Terrorism Database. The results suggest that the Boko Haram Insurgency reduces weight-for-age and weight-for-height z-scores and increases the probability of wasting. The evidence suggests that policies targeting healthcare services may mitigate the long-term impacts of the Boko Haram Insurgency on human capital production.     

Climate Smart Agriculture? Assessing the Adaptation Implications in Zambia

We examine a set of potentially climate smart agricultural practices, including reduced tillage, crop rotation and legume intercropping, combined with the use of improved seeds and inorganic fertiliser, for their effects on maize yields in Zambia. We use panel data from the Rural Incomes and Livelihoods Surveys merged with a novel set of climatic variables based on geo‐referenced historical rainfall and temperature data to explore the changing effects of these practices with climatic conditions. We estimate the impacts on maize yields, and also on the exhibition of very low yields and yield shortfalls from average levels, as indicators of resilience, while controlling for household characteristics. We find that minimum soil disturbance and crop rotation have no significant impact on these yield outcomes, but that legume intercropping significantly increases yields and reduces the probability of low yields even under critical weather stress during the growing season. We also find that the average positive impacts of modern input use (seeds and fertilisers) are significantly conditioned by climatic variables. Timely access to fertiliser emerges as one of the most robust determinants of yields and their resilience. These results have policy implications for targeted interventions to improve the productivity and the resilience of smallholder agriculture in Zambia in the face of climate change.     

The role of education on the adoption of chemical fertiliser under different socioeconomic environments in Ethiopia

Studies on input adoption consider education as one of the most important factors that affect adoption decisions. However, very little is known about the spill‐over effect of intra‐household education on the adoption process and about the impact of education on adoption decisions under different socioeconomic conditions. We investigate these two issues using a discrete choice model. The results indicate that the decision making process is a decentralised one in which educated adult members of the household actively participate in the decision making process. This casts doubt on the traditional assumption that the household head is the sole decision maker. The results reveal that there is a substantial and statistically significant intra‐household spill‐over effect of education on the adoption decision of households. The results of the study also show that the coefficient of the education and the environment interaction variable is negative and statistically significant. This demonstrates that education and socioeconomic environments could be substitutes in modern environments and complementary in traditional ones. This implies that the expansion of education in traditional areas may be more attractive than in modern areas since education is usually the only means to enhance the ability of farmers to acquire, synthesise and respond to innovations such as chemical fertiliser.     

Estimating Policy Effects on Spatial Market Eff iciency: An Extension to the Parity Bounds Model

The standard parity bounds model (PBM) is extended to allow for dynamic shifts in regime probabilities in response to changes in marketing policy. The approach allows estimation of the length of the adjustment period and a statistical test for no policy effects. The extended PBM is applied to maize and wheat markets in Ethiopia. Evidence of a dynamic adjustment path is found and grain marketing reforms are found to have improved spatial efficiency in a few markets, worsened it in a few others, but generally to have had little effect on the spatial efficiency of Ethiopian grain markets.     

Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia

This paper evaluates the potential impact of adoption of improved legume technologies on rural household welfare measured by consumption expenditure in rural Ethiopia and Tanzania. The study utilizes cross-sectional farm household level data collected in 2008 from a randomly selected sample of 1313 households (700 in Ethiopia and 613 in Tanzania). The causal impact of technology adoption is estimated by utilizing endogenous switching regression. This helps us estimate the true welfare effect of technology adoption by controlling for the role of selection problem on production and adoption decisions. Our analysis reveals that adoption of improved agricultural technologies has a significant positive impact consumption expenditure (in per adult equivalent terms) in rural Ethiopia and Tanzania. This confirms the potential role of technology adoption in improving rural household welfare as higher consumption expenditure from improved technologies translate into lower poverty, higher food security and greater ability to withstand risk. An analysis of the determinants of adoption highlighted inadequate local supply of seed, access to information and perception about the new cultivars as key constraints for technology adoption.     

The Structure of UK Outbound FDI and Environmental Regulation

In large parts of the world, a lack of home tap water burdens households as the water must be brought to the house from outside, at great expense in terms of effort and time. We here study how such costs affect girls’ schooling in Ghana, with an analysis based on four rounds of the Demographic and Health Surveys. We address potential endogeneity issues by building an artificial panel of clusters using GPS coordinates. Our results indicate a significant negative relation between girls’ school attendance and water hauling activity, as a halving of water fetching times increases girls’ school attendance by about 7 percentage points on average, with stronger impacts in rural communities. Our results seem to be the first definitive documentation of such a relationship in Sub-Saharan Africa. They document some of the multiple and wide population benefits of increased tap water access, that are likely to be relevant in many African countries, and elsewhere.     

Measurement errors in agricultural data and their implications on marginal returns to modern agricultural inputs

The low uptake of modern agricultural technologies in sub-Saharan African countries has encouraged researchers to revisit the returns to (or profitability of) these agricultural inputs. A related strand of literature is exploring the allocative efficiency of these factors of production in African agriculture. However, all these studies rely on self-reported agricultural data, which are prone to nonclassical measurement errors, the errors in these data are correlated with the true values of variables of interest. In this article we investigate the implication of measurement errors in self-reported agricultural input and production data on marginal returns to these modern agricultural inputs. We consider a generic two-sided measurement error problem where both production and inputs can be measured with error, and these errors can be correlated. We employ both self-reported and objective measures of production and plot size to compute output elasticities under these alternative measurement scenarios. We find that using self-reported production and plot size overestimates output elasticities and hence marginal returns to modern agricultural inputs (including chemical fertilizer and improved seed). These results are noteworthy in terms of informing conventional technology diffusion strategies as well as in view of revisiting existing presumptions about the profitability of modern agricultural inputs.