Policies targeting agricultural value chains impact Tanzanian farmers, so it is important to understand how these policies affect producer incentives and price transmission along the value chain. This research focuses on maize and groundnut value chains, estimating Nominal Rates of Protection (NRPs) along the value chain and analyzing their implications for producers. The results for border NRPs and trade status imply an anti-trade bias in maize; imported maize faces an import tariff, while exported maize often faces taxes.
We extend the nominal rate of protection (NRP) methodology to a value chain framework. We develop our methodology for three types of value chains: a new value chain created by policy, a value chain in which a by‐product is created in the processing of a commodity, and a value chain in which processing of a commodity generates new product(s). We consider two cases of value chains: when the commodity is tradable and when it is non‐tradable.
The purpose of this paper is to identify sources and quantifying distortions to agricultural incentives to produce along the small ruminant value chains in Ethiopia.
National and district level average nominal rate of protection (NRPs) were computed for a five-year period (2010–2015). The authors developed four scenarios based on combinations of the different data generation processes employed in relation to each of the key variables.