Research Article
How Does Technology Import and Export Affect the Innovative Performance of Firms? From the Perspective of Emerging Markets Firms
Table 5
Tobit regressions results for product/process innovation performance (continuous variable).
| | M1 | M2 | M3 | M4 | M5 | M6 | Product performance | Product performance | Product performance | Process performance | Process performance | Process performance |
| Control variables | | | | | | | Firm age | −1.616 | −1.596 | −1.745 | −1.144 | −1.239 | −1.178 | (1.875) | (1.821) | (1.818) | (1.249) | (1.237) | (1.236) | Firm size | 1.854 | 0.494 | 0.453 | 1.272 | 0.500 | 0.562 | (0.780) | (0.798) | (0.796) | (0.517) | (0.534) | (0.534) | Top managers’ experience | 3.831 | 3.355 | 3.495 | 3.334 | 2.865 | 2.725 | (2.176) | (2.125) | (2.116) | (1.395) | (1.388) | (1.386) | State ownership | −0.206 | −0.184 | −0.188 | −0.264 | −0.251 | −0.250 | (0.063) | (0.062) | (0.061) | (0.041) | (0.041) | (0.041) | Foreign ownership | −0.005 | −0.087 | −0.085 | −0.010 | −0.060 | −0.060 | (0.045) | (0.045) | (0.045) | (0.030) | (0.031) | (0.031) | Diversification | 19.751 | 16.543 | 16.471 | 11.583 | 10.608 | 10.678 | (6.520) | (6.359) | (6.342) | (4.454) | (4.435) | (4.423) | Formal competition | −0.361 | −1.081 | −0.932 | 0.965 | 0.502 | 0.404 | (1.377) | (1.348) | (1.346) | (0.950) | (0.944) | (0.942) | Human capital | 1.980 | 1.525 | 1.566 | 1.000 | 0.813 | 0.768 | (0.534) | (0.521) | (0.520) | (0.355) | (0.353) | (0.353) | Informal competition | −0.019 | −0.250 | −1.458 | −0.693 | −0.782 | −0.581 | (1.099) | (1.070) | (1.275) | (0.741) | (0.736) | (0.863) |
| Independent variables | | | | | | | Exporter | | 4.947 | −4.116 | | 5.520 | 11.461 | | (2.189) | (4.864) | | (1.520) | (3.379) | Technology import | | 15.513 | 14.698 | | 5.628 | 1.615 | | (2.119) | (4.723) | | (1.483) | (3.338) | ICEP | | | H1: 4.756 | | | H2: −3.193 | | | (2.280) | | | (1.618) | ICTI | | | H3: 0.376 | | | H4: 2.303 | | | (2.264) | | | (1.316) | Constant | −19.809 | −9.787 | −8.302 | −1.046 | 5.540 | 6.294 | (11.092) | (10.921) | (10.987) | (7.350) | (7.366) | (7.427) |
| Var(e.product_perfor) | 648.564 | 605.959 | 602.132 | | | | (40.826) | (38.011) | (37.761) | | | | Var(e.process_perfor) | | | | 348.511 | 339.842 | 338.150 | | | | (16.773) | (16.382) | (16.300) | Location effect | Yes | Yes | Yes | Yes | Yes | Yes | Industry effect | Yes | Yes | Yes | Yes | Yes | Yes |
| Observations | 1186 | 1186 | 1186 | 1186 | 1186 | 1186 | Pseudo R2 | 0.057 | 0.066 | 0.067 | 0.042 | 0.045 | 0.046 | Wald chi square | 380.088 | 440.608 | 445.307 | 371.974 | 403.556 | 408.387 | Log likelihood | −3158.1295 | −3118.8029 | −3116.4533 | −4274.8976 | −4235.7602 | −4233.3446 |
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Standard errors are in parentheses. , , and . |