A Random Forest Method for Identifying the Effectiveness of Innovation Factor Allocation
| العنوان: | A Random Forest Method for Identifying the Effectiveness of Innovation Factor Allocation |
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| المؤلفون: | Mo Xu, Yawei Qi, Changqi Tao, Shangfeng Zhang |
| المصدر: | Computational Intelligence and Neuroscience. 2022:1-16 |
| بيانات النشر: | Hindawi Limited, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | China, Article Subject, General Computer Science, General Mathematics, General Neuroscience, Humans, Reproducibility of Results, General Medicine, Resource Allocation |
| الوصف: | This paper makes a new attempt to identify the effectiveness of innovation factor allocation with a random forest method. This method avoids the evaluation bias of the relative effectiveness caused by the noneffective selection of production frontier in the nonparametric DEA method. It does not refer to other optimal subjects but shifts the focus to the judgment of its own effectiveness. In addition, it also gets rid of the constraints of the model and variables in the parameter SFA method, ensuring the reliability of the measurement results by resampling thousands of times. The data is collected from 30 provinces in China from 2009 to 2018. The findings show the innovation factor allocation in more than half of the provinces is not fully effective. It indicates that how to make use of innovation factor inputs to achieve the actual innovation output higher than own optimal levels is currently still in a period of exploration in China. To further improve innovation factor allocation efficiency, it deeply analyzes the impacts of innovation factor inputs and finds out the important innovation factor inputs. Furthermore, this study presents the nonlinear characteristics and optimal combination of important innovation factor inputs. According to this, it offers the detailed suggestions about how to adjust current important innovation factor inputs for each province in order to greatly enhance the effectiveness of innovation factor allocation in the future. |
| وصف الملف: | text/xhtml |
| تدمد: | 1687-5273 1687-5265 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbd4e2d0e5f8a61ff6d75e07ea29ee4b https://doi.org/10.1155/2022/1135582 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....cbd4e2d0e5f8a61ff6d75e07ea29ee4b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 16875273 16875265 |
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