Research Article

A Random Forest Method for Identifying the Effectiveness of Innovation Factor Allocation

Table 5

Grouping characteristics of important innovation factor inputs.

Grouping characteristics20122018

(a) Part of important innovation factor inputs has not yet reached the starting point of increasing marginal effectQinghai, NingxiaShanxi, Inner Mongolia, Heilongjiang, Jiangxi, Guangxi, Hainan, Guizhou, Yunnan, Gansu, Qinghai, Ningxia, Xinjiang
(b) All the important innovation factor inputs are in the marginal effects from increasing to maximum and then to falling flat stageTianjin, Hebei, Shanxi, Inner Mongolia, Liaoning, Jilin, Heilongjiang, Anhui, Fujian, Jiangxi, Henan, Hubei, Hunan, Guangxi, Hainan, Chongqing, Sichuan, Guizhou, Yunnan, Shaanxi, Gansu, XinjiangTianjin, Hebei, Liaoning, Jilin, Anhui, Henan, Hunan, Chongqing
(c) Part of important innovation factors has completed the input required for the optimal combination of innovation factorsBeijing, Shanghai, Zhejiang, ShandongBeijing, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, Hubei, Sichuan, Shaanxi
(d) All the important innovation factor inputs meet the requirements of optimal combinationJiangsu, GuangdongGuangdong