تحلیلی بر سطوح کلان کنش متقابل تغییرات اقلیمی و جامعه با استفاده از مدل STIRPAT

Macro-scale sociological approaches are focused on analyzing the impact of climate change drivers on macro-scale processes that affect entire societies, governments or countries. An analytical model called the STIRPAT (Standom Effects Interregression on Population, Wealth, and Technology) model was first used in sociology and is now used in various other disciplines. Our goal of this research was to analyze the macro levels of interaction between climate change and society using the STIRPAT model. This research was done in terms of purpose, application and in terms of how to collect the required information, using library documents and researches done in this field. In this review, we focus on human drivers of climate change. Understanding why individuals, organizations, and nations take actions that affect the climate somehow precedes other issues related to climate change, so our emphasis is on drivers. The result of the research shows that at the macro level, population size, wealth, and political economy structure are important drivers of greenhouse gas emissions, and it is suggested that this style of research should be investigated in different periods of time. and move in different countries to enable a deeper study of the effects of different societies on greenhouse gas emissions.