Business

What drives intercity venture capital investment? A comparative analysis between multiple linear regression and random forest

D. Du, J. Wang, et al.

This study conducted by Delin Du, Jiaoe Wang, and Jianjun Li uncovers the critical factors affecting intercity venture capital investments in China. By employing multiple linear regression and random forest techniques, the research highlights the roles of economic, financial, innovation, location, and policy elements, all exhibiting unique regional differences across China's diverse landscape.

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Playback language: English

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Abstract

This study investigates the factors influencing intercity venture capital (VC) investments in China using multiple linear regression (MLR) and random forest (RF). The findings reveal that economic, financial, innovation, location, and policy factors significantly influence VC investments. Both models highlight the importance of economic and financial variables, followed by innovation. However, the relative importance of these variables shows spatial heterogeneity across China's eastern, central, and western regions.

Publisher

Humanities and Social Sciences Communications

Published On

Sep 14, 2024

Authors

Delin Du, Jiaoe Wang, Jianjun Li

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