Exploring green energy in economics: conceptual evolution.A literature review based on text mining and sentiment analysis

Green energy has become one of the most recurrent topics of the last decade, with a clear ascending trend in terms of popularity and strategic relevance. Although the term has been a fundamental element in the energy, environmental science, or engineering domains, we can now observe frequent linkages with the highly dynamic and versatile economic context. With this in mind, in the current paper, we aim to present the related literature approaches that integrated green energy in economics, while also identifying the evolutionary differences of perspectives and frameworks. Therefore, the methodology will start by showcasing the clear evolution of the concept, with statistical overviews that confirm its increasing frequency. Afterward, we will limit the review to the papers that integrated green energy in the title, in an endeavor to illustrate the main connections and synergies found within the economic and business area. A selection of 50 papers will be made, 25 being published in the 2010-2019 period and 25 starting in 2020. Consequently, a classification framework will be constructed to allocate each paper based on the general subject and the main methodology used. After profiling the periods and extracting valuable comparisons, the papers will be curated through the computation of different text-mining techniques, resulting in insightful statistics on the most common words, complementary concepts, and general sentiment. The study's main conclusion will be the observed prevalence of a new economic framework, based on economic growth and sustainability: green growth. Therefore, in terms of contribution, by using data mining and sentiment analysis, we have extracted valuable information from a large volume of text, methodically proving that green energy is frequently linked with economic development, and evolving conceptually throughout the last decades.