Table 4

Regression results of life cycle of industry and corporate executive's characteristics

(1)(2)(3)(4)(5)(6)
AgeEducational levelPolitical capitalPeripheral-functionThroughput-functionOutput-function
Constant30.871*** (9.40)3.485*** (7.73)−1.557 (1.212)−4.231*** (1.278)−4.702*** (1.11)3.744*** (1.12)
Life cycle of industry−1.045*** (−2.94)−0.186*** (−3.80)0.310* (0.132)0.291** (0.136)−0.267** (0.118)0.314*** (0.121)
Labor-intensive industry2.332*** (5.84)−0.746*** (−13.59)0.210 (0.142)0.681*** (0.147)0.883*** (0.135)−0.881*** (0.138)
Technology-intensive industry1.907*** (3.35)−0.256*** (−3.27)−1.210*** (0.296)2.590*** (0.221)−0.568*** (0.206)−1.942*** (0.257)
Ownership−0.534* (−1.67)−0.338*** (−7.64)0.138 (0.118)−0.005 (0.121)0.308*** (0.108)−0.151* (0.109)
Firm size0.700*** (4.91)0.012 (0.61)0.016 (0.053)0.127** (0.055)0.200*** (0.048)−0.176*** (0.049)
Adjusted R20.0510.149
Pseudo R20.0350.1490.0860.110
F18.217 (0.000)56.571 (0.000)
Chi-square value38.926 (0.000)176.270 (0.000)105.900 (0.000)135.897 (0.000)
Sample size1,5901,5901,5901,5901,5901,590

Note(s):*< 0.1, **< 0.05, ***< 0.01. Values in square brackets under the coefficients of columns (1) and (2): T value; Values in brackets under the coefficients of columns (3) through (6): standard errors

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