Table 5.
Results of QAP correlation analysis of ACEE drivers in Chinese cities.
| Independent variable | QAP correlation coefficient | QAP correlation analysis p-value | ||||||
|---|---|---|---|---|---|---|---|---|
| 2001 | 2008 | 2015 | 2022 | 2001 | 2008 | 2015 | 2022 | |
| Agricultural development level (ADL) | 0.246*** | 0.128** | 0.334*** | 0.114** | 0.000 | 0.020 | 0.000 | 0.047 |
| Agricultural mechanization level (AML) | − 0.097* | − 0.008 | 0.055 | 0.104** | 0.078 | 0.443 | 0.204 | 0.036 |
| Industrial structure (IS) | − 0.064 | − 0.275** | − 0.202** | − 0.135** | 0.227 | 0.002 | 0.013 | 0.040 |
| Government regulation (GR) | − 0.110 | − 0.278*** | − 0.200*** | − 0.109** | 0.110 | 0.001 | 0.010 | 0.048 |
| Pesticide and fertilizer application level (PFAL) | − 0.048 | − 0.095* | − 0.160*** | − 0.089* | 0.243 | 0.089 | 0.010 | 0.077 |
| Natural disaster (ND) | 0.167*** | 0.149** | 0.153*** | 0.141** | 0.000 | 0.011 | 0.000 | 0.032 |
| Market mechanism (MM) | 0.029* | 0.064** | 0.105** | 0.142** | 0.062 | 0.057 | 0.069 | 0.083 |
| Climate change (CC) | 0.213 | 0.247* | 0.323* | 0.214 | 0.142 | 0.085 | 0.082 | 0.111 |