Research on Economical Evaluation Model for Guaranteeing Environmental Factors

At present, Gross Domestic Product (GDP) has become an essential evaluation metric for economic development. However, existing evaluation models only concentrate on enhancing the accuracy and ignore the environmental influence for continuous development. In this work, we initially involve the material flow analysis method under the framework of SEEA- CF accounting system, and then establish the SEEA-MFA accounting system to define Green Index to measure the economic health of a country. After selecting four indicators that can represent climate change, we analyze correlation among them and GI. Additionally, we collect 18 sets of data from 20 countries to evaluate the impact of GI on global climate mitigation, we select 8 quantifiable secondary indicators from three dimensions of current economic development, ecological damage, ecological improvement and establish a climate mitigation score evaluation model. We utilize Analytic Hierarchy Process and Entropy Weight Method to calculate the weight of each index in three dimensions. After that, we conduct a cost-benefit analysis based on the externality theory finding that the adoption of green GDP (GGDP) will produce a net benefit to the environment. After using lasso regression to screen variables, we conduct multiple regression analysis between GI, ln GDP and climate change indicators separately. When GDP and GGDP both grow by 1%, the former will bring more serious harm to the climate and environment.