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A synergistic study of urban green development path and economic growth based on polynomial regression algorithm

By: Qianchang Cheng1
1School of Geography & Resource Science, Neijiang Normal University, Neijiang, Sichuan, 641100, China

Abstract

Green development is an important support for realizing high-quality urban economic growth. The study utilizes polynomial regression algorithms and response surface analysis to investigate the impact of urban green development paths on economic growth, and conducts regression analysis and robustness tests on sample data from multiple cities. It is found that the slopes of the consistency curve and the inconsistency curve are both significantly positive at the 5% level, the curvature of the former is positive, and the curvature of the latter is negative, both of which are not significant, and the results of the robustness analysis are consistent. The results indicate that urban green development paths consistent with green actions do not necessarily promote economic growth, and cities with high levels of both green development paths and green actions have better economic growth compared to cities with low levels of both green development paths and green actions. At the same time, a high green development path-low green action combination promotes more synergistic economic growth than a low green development path-high green action combination. This paper studies the relationship between urban green development paths and synergistic economic growth from a consistency perspective, which is of great significance in guiding the government on how to better guide green strategies and economic development.