Table 1 Variable description.
From: Machine learning and statistical models for analyzing multilevel patent data
Abbreviations | Description | Mean | SD | Min. | Max. |
|---|---|---|---|---|---|
NumPat | Number of patents | 888.51 | 1446.50 | 0.00 | 9,951.00 |
Pop | Population | 4526.72 | 2975.69 | 340.00 | 12,684.00 |
GDP | Gross domestic product | 30,253.57 | 24,993.020 | 124,369.70 | 1173.00 |
NumHeaTec | Number of health technicians per 10,000 people | 71.05 | 12.98 | 45.00 | 126.00 |
R &D | Research and development | 99,422.66 | 144,492.69 | 190.00 | 700,017.00 |
NumHeaPer | Number of health personnel | 40.37 | 25.34 | 2.92 | 102.79 |
FinEdu | Financial expenditure on education | 1000.06 | 616.57 | 152.57 | 3,510.56 |
FinSci | Financial expenditure on science and technology | 166.32 | 201.56 | 4.81 | 1168.79 |
FinHea | Financial health care expenditure | 510.84 | 300.43 | 69.97 | 1772.99 |
HeaInc | Health industry income per capita | 99,681.45 | 31,336.74 | 51,135.00 | 208,481.00 |
NumPatHeaPer | Number of patent applications per 10,000 health personnel | 17.99 | 22.05 | 0.00 | 120.87 |
Pro | Province | categorical | categorical | categorical | categorical |
