Research Article
Ecoefficiency of Intensive Agricultural Production and Its Influencing Factors in China: An Application of DEA-Tobit Analysis
Table 8
Tobit regression results of influencing factor analysis.
| Variable | Total efficiency | Technical efficiency | Scale efficiency | Coefficient | | Coefficient | | Coefficient | |
| EL | 0.076 | 0.274 | 0.019 | 0.697 | 0.069 | 0.286 | FA | 0.066 | 0.021 | 0.037 | 0.068 | 0.045 | 0.092 | IC | −0.691 | 0.003 | −0.486 | 0.002 | −0.478 | 0.025 | WP | −0.170 | 0.819 | −0.982 | 0.059 | 0.586 | 0.398 | PH | −0.232 | 0.078 | −0.161 | 0.080 | −0.157 | 0.199 | PB | 1.688 | 0.031 | 0.856 | 0.119 | 1.135 | 0.120 | AF | −0.059 | 0.705 | −0.191 | 0.080 | 0.065 | 0.656 | AP | −0.017 | 0.234 | −0.021 | 0.135 | −0.003 | 0.843 | IL | −0.001 | 0.853 | −0.011 | 0.005 | 0.004 | 0.393 | Constant | −0.814 | 0.591 | 1.567 | 0.139 | −1.031 | 0.465 |
| Log likelihood | 7.601 | | 18.612 | | 9.719 | | Avg. log likelihood | 0.243 | | 0.599 | | 0.314 | | Schwarz criterion | 0.733 | | 0.020 | | 0.591 | | Hannan-Quinn criterion | 0.390 | | −0.323 | | 0.248 | |
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Significant at the 10% level, significant at the 5% level, and significant at the 1% level.
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