Abstract:The world has overlapped pressures in favour and against the use of fossil fuels to generate electricity and other purposes. Most scaremongers demand to leave all hydrocarbons below the ground and utilise renewable energy sources. This paper is aimed at providing an economic approach to demonstrate why natural gas may serve as a “bridge"" fuel in the transition to cleaner energy sources, but corresponding incentives must be in place; otherwise, the current panorama might not change in the foreseeable future. The “bridge” concept will be explained in detail as well as the reasons why renewable energy might be far away for some economies and from a cost-effective point of view when compared to natural gas. Consequently, the latter may remain the most efficient fuel for a while given all circumstances.Resumen: El mundo ha superpuesto presiones a favor y en contra del uso de combustibles fósiles para generar electricidad y otros fines. La mayoría de los alarmistas exigen dejar todos los hidrocarburos bajo tierra y utilizar fuentes de energía renovables. Este documento tiene como objetivo proporcionar un enfoque económico para demostrar por qué el gas natural puede servir como combustible ""puente"" en la transición hacia fuentes de energía más limpias, pero deben existir los incentivos correspondientes, de lo contrario, el panorama actual podría no cambiar en el futuro previsible El concepto de ""puente"" será explicado en detalle, así como las razones por las cuales la energía renovable podría estar muy lejos para algunas economías y desde un punto de vista de rentabilidad cuando se compara con el gas natural. En consecuencia, este último puede seguir siendo el combustible más eficiente por un tiempo dadas todas las circunstancias.

Security and computer expertise of end users can be significant predictors of user behaviour and interactions in the security and privacy context. Standardized, externally valid instruments for measuring end-user security expertise are non-existent. To address this need, we developed a questionnaire to identify critical factors that constitute expertise in end-users. It combines skills and knowledge based questions. Using exploratory factor analysis on the results from 898 participants from a range of populations, we identified 12 questions within 4 factors that correspond to computing and security expertise. Ordered logistic regression models were applied to measure efficacy of proposed security and computing factors in predicting user comprehension of security concepts (phishing and certificates). We conclude with a framework for informing future user-centered security expertise research.