Comprehensive Accounting of Resources, Environment, and Economy Integrating Machine Learning and Establishment of Green GDP

Abstract

In macroeconomics, GDP is one of the most important concepts and indicators. GDP has always been the most common indicator of national economic development in the world. With the development of the environmental protection movement and the rise of the sustainable concept, it is urgent to carry out resource and environmental accounting to comprehensively reflect the resource and environmental input in economic development. Green GDP is gradually developed in this context. The article introduces machine learning technology and data mining technology to establish a comprehensive accounting system for resource and environmental economy and green GDP. The data related to a city’s green GDP is collected by mining and the environmental ecological cost is constructed to correct the city to obtain its green GDP value. Taking a city as an example and confirming the method proposed in this article, the final GDP of the city is 68.839 billion yuan, the environmental ecological cost is 4.635 billion yuan, and the green GDP is 64.204 billion yuan.