Spain and Investment Arbitration: The Renewable Energy Explosion

In the past decade, Spain’s generous incentive system for renewable energy production attracted substantial foreign and national investment. However, when the global financial crisis hit, and the consequent reduction of electricity consumption, the incentives began to cause a tariff deficit in the electricity system, leading the Spanish government to cut back and then eliminate the incentives. In the wake of losses, international investors turned to investment arbitration, while national investors could only present their claims before Spanish courts. The result was a potential for differential treatment between national and foreign investors. This paper examines the incentive regime and the government’s changes to it in order to understand the investors’ claims and the reasoning that resulted in their rejections, both in national courts and in the only arbitration award issued up to now. The paper concludes with a discussion of the effect of the renewable energies situation on the investment arbitration debate within Spanish civil society.

Improved solutions to dynamic and stochastic maritime pick-up and delivery problems using local search.

Heuristics for stochastic and dynamic vehicle routing problems are often kept relatively simple, in part due to the high computational burden resulting from having to consider stochastic information in some form. In this work, three existing heuristics are extended by three different local search variations: a first improvement descent using stochastic information, a tabu search using stochastic information when updating the incumbent solution, and a tabu search using stochastic information when selecting moves based on a list of moves determined through a proxy evaluation. In particular, the three local search variations are designed to utilize stochastic information in the form of sampled scenarios. The results indicate that adding local search using stochastic information to the existing heuristics can further reduce operating costs for shipping companies by 0.5–2 %. While the existing heuristics could produce structurally different solutions even when using similar stochastic information in the search, the appended local search methods seem able to make the final solutions more similar in structure.