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Optimizing higher education for innovation and entrepreneurship based on novel spatial analysis

By: Dongfeng Chen 1,2, HongleiWei 1, Wei Kong 2, Lijuan Zhang 1,2, Rui Li 3
1School of Law and Politics, Hebei North University, Zhangjiakou 075000, Hebei, China
2Research Institute for Ecological Construction and Industrial Development, Hebei North University, Zhangjiakou 075000, China
3Chengdu sport university, Chengdu 610041, Sichuan, China

Abstract

This research conducts an in-depth investigation into the fundamental components of innovation competence and constructs a linear spatial model to map out the structure of innovation and entrepreneurial capabilities. By dissecting the internal mechanisms of innovative thinking and action, the study establishes a multi-objective optimize work aimed at maximizing the effectiveness and fairness of educational resource distribution. Utilizing a grey relational analysis algorithm, the study executes a series of simulation experiments to validate the model’s performance. The findings reveal a notable enhancement in key metrics: efficiency in educational resource usage improves by 18.72%, while allocation fairness increases by 20.98%, indicating a shift toward more balanced development. Additionally, the correlation index with the ideal entrepreneurship benchmark reaches 0.3177, underscoring the strategy’s ability to support innovation and entrepreneurship training through optimized resource deployment.