Contribution Analysis of Factors Affecting the Growth of Chinese Construction Enterprises Based on the XGBOOST Algorithm

Abstract

The cornerstone of China's economy is the building sector. It is critical to research boosting the core competitiveness of China's construction companies in the context of challenging domestic development challenges and complex international competition. As a result, this paper aims to establish 15 influencing factors that impact the growth of construction enterprises from both internal and external dimensions and uses the XGBOOST machine learning method to analyze the contribution of influencing factors based on the macro and micro multi-faceted analysis perspective. China Vanke Group is used as the research object in this essay. The findings demonstrate that the regression model's fitting degree and goodness of fit are at their maximum, and confidence is at its highest when the number of base learners is 750. The component that significantly impacts how fast businesses grow is the total operating expense growth rate. For construction businesses to improve their core competitiveness and achieve sustainable development, this article suggests specific approaches. This study helps foster the high-quality growth of businesses, producing an improved outcome and ensuring the industrial chain's stability.