Optimizing Climate Policy through C-ROADS and En-ROADS Analysis

Abstract

With the onset of climate change and the increasing need for effective policies, a multilateral approach is needed to make an impact on the growing threats facing the environment. Through the use of systematic analysis by way of C-ROADS and En-ROADS, numerous scenarios have been simulated to shed light on the most imperative policy factors to mitigate climate change. Within C-ROADS, it was determined that the impacts of the shrinking ice-albedo effect on global temperatures is significant, however differential sea ice melting between the poles may not impact human dwellings, as all regions are impacted by sea ice melt. Flood risks are also becoming more imminent, specifically in high population density areas. In terms of afforestation, China is the emerging leader, and if other countries follow suit, this can incur substantial dividends. Upon conducting a comprehensive analysis of global trends through En-ROADS, intriguing patterns appear between the length of a policy initiative, and its effectiveness. Quick policies with gradual increases in taxation proved successful. Government intervention was also favorable, however an optimized model is presented, with moderate subsidization of renewable energy. Through this systematic analysis of assumptions and policy for effective climate change mitigation efforts, an optimized, economically-favorable solution arises.