This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited.In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit:The benefits of promoting renewable energy are regularly claimed to be energy security, climate change mitigation and job creation. While the first two benefits are generally accepted, the impact of renewable energy on employment is still disputed. This paper presents a discussion of the various factors that influence the analysis of renewable energy and its impact on employment. The advantages and disadvantages of input-output methods and analysis methods are discussed as well as the issues surrounding the measurement of job creation. A critical evaluation of the literature reveals factors that should be considered when completing a study about renewable energy and employment: labour intensity of renewables; cost increases and availability of investments; counting job losses; job quality and skills, model assumptions and sources of information. Analytical studies using extensive surveys were found to be more appropriate for regional studies while input-output methods were better suited to national and international studies.