Did the World Bank drive tariff reforms in Eastern Africa?

This paper explores tariff reform in Ethiopia, Kenya, Tanzania and Uganda between the early 1990s and early 2000s. Tariffs were reformed in an across the board manner consistent with implementing World Bank programs: the average tariff was reduced and the dispersion of tariffs was compressed, with the highest tariffs being eliminated. There is limited evidence of political economy influences on the cross sector pattern of tariffs and reforms, except for a tendency to offer greater protection to larger manufacturing sectors in all countries except Uganda. The technocratic reforms have diluted relative protection and political economy influences in all the four countries.

Optimising market share and profit margin:SMDP-based tariff pricing under the smart grid paradigm

Smart grid technologies have given rise to a liberalised and decentralised electricity market, enabling energy providers and retailers to have a better understanding of the demand side and its response to pricing signals. This paper puts forward a reinforcement-learning-powered tool aiding an electricity retailer to define the tariff prices it offers, in a bid to optimise its retail strategy. In a competitive market, an energy retailer aims to simultaneously increase the number of contracted customers and its profit margin. We have abstracted the problem of deciding on a tariff price as faced by a retailer, as a semi-Markov decision problem (SMDP). A hierarchical reinforcement learning approach, MaxQ value function decomposition, is applied to solve the SMDP through interactions with the market. To evaluate our trading strategy, we developed a retailer agent (termed AstonTAC) that uses the proposed SMDP framework to act in an open multi-agent simulation environment, the Power Trading Agent Competition (Power TAC). An evaluation and analysis of the 2013 Power TAC finals show that AstonTAC successfully selects sell prices that attract as many customers as necessary to maximise the profit margin. Moreover, during the competition, AstonTAC was the only retailer agent performing well across all retail market settings.