Guush Berhane

Using method of moments quantile regression to examine the influences of fishery operations and their ramifications for marine water contamination

This study aims to investigate the dynamic impact of the fishing industry on marine water contamination in 27 European countries by taking into account the roles of fisheries output, the use of fossil fuels, economic development, and governance between 1990 and 2022. The results, which used a novel technique called the Method of Moments Quantile Regression (MMQR) in addition to factors that are fixed effect, demonstrated that, at most quantiles, there was a significant positive correlation between fishing production and marine water contamination. At the earliest and latest quantiles, fishery production significantly exacerbates marine water contamination, with a smaller impact at the lowest and a larger impact at the highest. Additionally, the data indicate that affluent EU14 countries produce more fish than developing EU13 countries, which has a significant and negative impact on the contamination of marine water. Marine water contamination from the usage of fossil fuels has increased significantly in the EU13 developing countries as compared to the EU14 wealthy countries. Policymakers can reduce marine water contamination in EU14 and EU13 countries by using eco-friendly fishing gear, more sustainable fishing methods, and energy technologies like wave and tidal power.

Evaluating large-scale government investments in fertilizer adoption: The Ethiopian experience

We evaluate the impact of a large Government of Ethiopia intervention to raise fertilizer supply by establishing five fertilizer blending facilities supplying fertilizers tailored to local soil nutrient profiles. We rely on the phased geographic rollout of blending facility establishment to identify the causal effect on fertilizer use, application rates, crop yields, gross crop revenue, and household consumption. Combining effects of multiple treatment periods, each estimated using a doubly robust difference-in-difference model, we find that the blending facilities increased the probability that farmers adopt the new blended fertilizers by 22 percentage points and increased application rates by 17 kg/ha (baseline adoption was zero). The facilities mostly induced farmers who previously used DAP to switch to NPS, and we find large decreases in DAP adoption (by 22 percentage points, 47% of the control group base mean) and application rates (16 kg/ha, 52% of the control group base mean) yet no impact on overall fertilizer adoption or application rates. Though the new blended fertilizers were expected to perform better, there is no evidence they improved crop yields, crop gross revenue, or household consumption. The effect of the intervention was more pronounced (with larger increases in NPS use and larger decreases in DAP use) for farms located near demonstration plots, which the Government used to train farmers about the agronomic response to the new fertilizers. We confirm results using three large-scale longitudinal datasets and show that they are robust to choices of specification, treatment definition, and inference assumptions. JEL classification: O12, O13, Q16, Q18

Armed conflict and climate-induced weather disruptions in agricultural input use: Evidence From Ethiopia