Table 3.
The analysis of influence factors with the QAP method.
| Independent Variables | Specific Indicators | Dependent Variable (in 2015 ) |
Dependent Variable ( in 2020) |
||
|---|---|---|---|---|---|
| Correlation Analysis | Regression Analysis | Correlation Analysis | Regression Analysis | ||
| Economic Gap |
Per Capita GDP Gap/Yuan | 0.402c | 0.304c | 0.420c | 0.284c |
| The Gap in Information Technology | The Number Gap of Internet Users/% | −0.259b | −0.185b | −0.170b | −0.229b |
| The Gap in Scientific Investment | R&D Funding Gap/100 million Yuan | −0.256b | −0.147a | −0.264b | −0.045a |
| The Gap in Human Capital |
The Gap in Employees | −0.285b | −0.153a | −0.225b | −0.247a |
| Geographical Proximity Effect | Adjacency is 1/Otherwise 0 | −0.417c | −0.382c | −0.412c | −0.375c |
| The Relationship of Administrative Affiliation Relation | 1 in the Same Province/Otherwise 0 | −0.288a | −0.257a | −0.104 | −0.120 |
| R2 | 0.336a | 0.322a | |||
| Adjusted R2 | 0.312a | 0.301a | |||
Note.
p < 0.10.
p < 0.05.
p < 0.01.