Abstract

Since the Industrial Revolution, global development and progress have caused serious environmental damage and resource consumption. It is not in line with the concept of sustainable development to measure the economic level solely by GDP. Therefore, GGDP was introduced as an alternative. To evaluate the global impact of GGDP replacing GDP, we have constructed a GGDP multiple linear regression model. This model takes into account GGDP in different countries at different times and incorporates multiple influencing factors. Additionally, we introduce the grey prediction model to demonstrate that GGDP can serve as a suitable measure of economic development level. This supports the idea that promoting GGDP is applicable on a global scale. Furthermore, we introduce five natural resource indicators and conduct a Spearman correlation analysis between GGDP, GDP, and these five natural indicators. To illustrate this, we take the United States, a representative developed country, as an example.

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