Table 3 Estimates for parameters of...

Table 3

Estimates for parameters of stochastic production frontier and technical inefficiency

Variable	All sample	Sub1 (food, beverage)	Sub2 (garment, textile)	Sub3 (paper, printing)	Sub4 (chemical, plastic)	Sub5 (furniture, electronic, others)
Stochastic production frontier model (dependent variable: logY)
Constant	−0.095	−5.680*	4.147	0.336	−1.3114	2.854
logK	0.711^***			0.858**	0.8715**	0.766**
logM	0.657***	1.469***			0.6245*
logL	1.617***	2.337***	2.000***	2.628**		1.478**
log(K)2
log(M)2				0.046**
log(L)2	−0.056*					−0.167***
log(KxM)	−0.035***	−0.028*		−0.056*	−0.066**
log(KxL)				0.133*
log(MxL)	−0.061**			−0.304
Technical inefficiency model (dependent variable: logu)
Constant	1.5179	−2.1580	0.9166	1.1929		1.6683*
FirmSize	−0.7472*
lnage
Edu_manager				−0.9578*
Foreign_own
Export				−1.8559***
Account	−0.2502*					−0.5638**
Credit	−0.7600***	−0.9849**	−1.0509**
IT
Sub1	1.1391***
Sub2	1.0972***
Sub3	0.6415**
Sub4	0.4724**
Province1	−1.304***	−2.2676**
Province2				2.5082**
Province9	−1.3444**					−1.7828*
Province10	−0.5161*
Province11	−0.9537**
Province15				3.8078*
Province16	−0.8691**	−2.1036**
Gamma (γ)	0.9658	0.9556	0.9421	0.9722	0.1110	0.9700
Log likelihood	−2570.00	−852.36	−200.87	−213.63	−704.69	−518.35
Mean efficiency	0.7251	0.7149	0.5912	0.5440	1.0000	0.6471
H0: No inefficiency component (Prob > χ²)	0.0000	0.0380	0.0000	0.0010	0.7430	0.0000
Number of observations	2,009	618	190	183	578	440

Variable	All sample	Sub1 (food, beverage)	Sub2 (garment, textile)	Sub3 (paper, printing)	Sub4 (chemical, plastic)	Sub5 (furniture, electronic, others)
Stochastic production frontier model (dependent variable: logY)
Constant	−0.095	−5.680*	4.147	0.336	−1.3114	2.854
logK	0.711^***			0.858**	0.8715**	0.766**
logM	0.657***	1.469***			0.6245*
logL	1.617***	2.337***	2.000***	2.628**		1.478**
log(K)2
log(M)2				0.046**
log(L)2	−0.056*					−0.167***
log(KxM)	−0.035***	−0.028*		−0.056*	−0.066**
log(KxL)				0.133*
log(MxL)	−0.061**			−0.304
Technical inefficiency model (dependent variable: logu)
Constant	1.5179	−2.1580	0.9166	1.1929		1.6683*
FirmSize	−0.7472*
lnage
Edu_manager				−0.9578*
Foreign_own
Export				−1.8559***
Account	−0.2502*					−0.5638**
Credit	−0.7600***	−0.9849**	−1.0509**
IT
Sub1	1.1391***
Sub2	1.0972***
Sub3	0.6415**
Sub4	0.4724**
Province1	−1.304***	−2.2676**
Province2				2.5082**
Province9	−1.3444**					−1.7828*
Province10	−0.5161*
Province11	−0.9537**
Province15				3.8078*
Province16	−0.8691**	−2.1036**
Gamma (γ)	0.9658	0.9556	0.9421	0.9722	0.1110	0.9700
Log likelihood	−2570.00	−852.36	−200.87	−213.63	−704.69	−518.35
Mean efficiency	0.7251	0.7149	0.5912	0.5440	1.0000	0.6471
H0: No inefficiency component (Prob > χ²)	0.0000	0.0380	0.0000	0.0010	0.7430	0.0000
Number of observations	2,009	618	190	183	578	440

Note(s): ***, ** and * denote significance at the 1, 5 and 10% level, respectively

Note that the variables of location by province are not all reported; only the ones with a significant statistical test for all samples are displayed to save space

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