Environmentally friendly economic growth: an analysis of the role of green GDP in national development

ACKNOWLEDGEMENTS: Thanks to the Innovation training project of Guangdong Ocean University: The research foundation of the Grey correlation model and data set of the Agricultural Land Guard - Farmland Security System Institute, and thanks to the Innovation and Entrepreneurship Training Program project funding of Guangdong Ocean University (CXXL2023192).

Abstract

In recent years, the protection of the ecological environment has gradually become one of the important aspects of our country to achieve all aspects of the development of one of the important bearings, join the ecological factors of the green GDP (GGDP) is undoubtedly in line with the construction of our country's ecological civilisation in the new era of the strategic line, the use of GGDP on the promotion of green development, and to promote the harmonious coexistence of human beings and nature can produce a certain role in promoting. the accounting methods of the GGDP are also a lot in analysing the problems. This paper explores them in the following ways.

By reviewing the literature, according to the methods in different literatures, we choose the accounting formula of GGDP (see Equation 1 for details), and use TOPSIS to solve the environmental loss index and resource consumption index in the formula, and finally get China's GGDP. the solution method is shown in the main text.

The indicators of forest area and fossil fuel energy consumption are selected. The calculated GGDP data and collected GDP data were respectively subjected to grey correlation analysis with the standardized data of the selected indicators in the current year. The grey correlation of forest area with GDP was 0.73 and with GGDP was 0.817. The analysis of variance showed that with the use of GGDP, forest land was affected to the extent of about 45% of the entire population. The rest of the data is shown in Table 7. However, the use of GGDP favours the national economy and the ability to feed future generations, as shown in Figure 13.