Table 1. Descriptive statistics CNAE-93...

Table 1.

Descriptive statistics

CNAE-93 CODE	Industry	Frequency	%		Size (average)		Age (average)
	High-tech industries	31	34.4		30.0		31.6
21	Pharmaceutical industry	1	1.1		17.0		69.0
24	Chemical industry. except pharmaceutical	10	11.1		63.6		28.3
72	Computer activities	18	20.0		23.2		15.2
74	Specialised scientific and technological activities	2	2.2		16.0		14.0
	Medium-high tech industries	59	65.6		48.7		23.3
175	Other textile industries	1	1.1		160.0		27.0
28	Metalworking industry, except machinery	37	41.1		46.6		27.1
29	Construction of machinery, mechanical equipment	10	11.1		30.1		16.3
31	Construction of machinery, electrical equipment	2	2.2		44.5		42.5
32	Manufacture of electronic equipment and appliances	2	2.2		83.0		24.0
45	Sales, maintenance, spare parts – vehicles	2	2.2		12.5		13.5
51	Air transport of goods	1	1.1		15.0		10.0
52	Storage, handling of goods	2	2.2		23.5		39.0
92	Gambling and betting activities	2	2.2		23.0		10.5
		90	100.0		42.9		25.9
	High-tech industries
	Sales revenue			Assets total
	≤ € 1m	14	45.2%	≤ € 1m		14	45.2%
	€ +1m to 10m	12	38.7%	€ +1m to 7m		11	35.5%
	€ +10m to 20m	1	3.2%	€ +7m to 14m		3	9.7%
	€ +20m to 30m	2	6.5%	€ +14m to 21m		1	3.2%
	€ +30m to 40m	1	3.2%	€ +21m to 27m		1	3.2%
	€ +40m	1	3.2%	€ +27m		1	3.2%
	Total	31	100.0%			31	100.0%
	Medium-high tech industries
	≤ € 1m	17	28.8%	≤ € 1m		19	32.2%
	€ +1m to 10m	33	55.9%	€ +1m to 7m		27	45.8%
	€ +10m to 20m	8	13.6%	€ +7m to 14m		9	15.3%
	€ +20m to 30m	0	0.0%	€ +14m to 21m		1	1.7%
	€ +30m to 40m	1	1.7%	€ +21m to 27m		2	3.4%
	€ +40m	0	0.0%	€ +27m		1	1.7%
	Total	59	100.0%			59	100.0%
	Descriptive of survey respondents
	Department	N	%
	General management	83	92.2
	Finance	6	6.7
	Production	1	1.1
		90	100.0
	Gender
	Male	77	85.6
	Female	13	14.4
		90	100.0
	Age
	≤ 30	3	3.3
	31 ≤ to < 40	21	23.4
	41 ≤ to < 50	36	40.0
	≥ 50	30	33.3
		90	100.0
	Instruction
	PhD	2	2.2
	Post-grade	12	13.3
	Graduated	56	62.2
	Professional learning	8	8.9
	Medium or basic education	12	13.3
		90	100.0

CNAE-93CODE	Industry	Frequency	%		Size (average)		Age (average)
	High-tech industries	31	34.4		30.0		31.6
21	Pharmaceutical industry	1	1.1		17.0		69.0
24	Chemical industry. except pharmaceutical	10	11.1		63.6		28.3
72	Computer activities	18	20.0		23.2		15.2
74	Specialised scientific and technological activities	2	2.2		16.0		14.0
	Medium-high tech industries	59	65.6		48.7		23.3
175	Other textile industries	1	1.1		160.0		27.0
28	Metalworking industry, except machinery	37	41.1		46.6		27.1
29	Construction of machinery, mechanical equipment	10	11.1		30.1		16.3
31	Construction of machinery, electrical equipment	2	2.2		44.5		42.5
32	Manufacture of electronic equipment and appliances	2	2.2		83.0		24.0
45	Sales, maintenance, spare parts – vehicles	2	2.2		12.5		13.5
51	Air transport of goods	1	1.1		15.0		10.0
52	Storage, handling of goods	2	2.2		23.5		39.0
92	Gambling and betting activities	2	2.2		23.0		10.5
		90	100.0		42.9		25.9
	High-tech industries
	Sales revenue			Assets total
	≤ € 1m	14	45.2%	≤ € 1m		14	45.2%
	€ +1m to 10m	12	38.7%	€ +1m to 7m		11	35.5%
	€ +10m to 20m	1	3.2%	€ +7m to 14m		3	9.7%
	€ +20m to 30m	2	6.5%	€ +14m to 21m		1	3.2%
	€ +30m to 40m	1	3.2%	€ +21m to 27m		1	3.2%
	€ +40m	1	3.2%	€ +27m		1	3.2%
	Total	31	100.0%			31	100.0%
	Medium-high tech industries
	≤ € 1m	17	28.8%	≤ € 1m		19	32.2%
	€ +1m to 10m	33	55.9%	€ +1m to 7m		27	45.8%
	€ +10m to 20m	8	13.6%	€ +7m to 14m		9	15.3%
	€ +20m to 30m	0	0.0%	€ +14m to 21m		1	1.7%
	€ +30m to 40m	1	1.7%	€ +21m to 27m		2	3.4%
	€ +40m	0	0.0%	€ +27m		1	1.7%
	Total	59	100.0%			59	100.0%
	Descriptive of survey respondents
	Department	N	%
	General management	83	92.2
	Finance	6	6.7
	Production	1	1.1
		90	100.0
	Gender
	Male	77	85.6
	Female	13	14.4
		90	100.0
	Age
	≤ 30	3	3.3
	31 ≤ to < 40	21	23.4
	41 ≤ to < 50	36	40.0
	≥ 50	30	33.3
		90	100.0
	Instruction
	PhD	2	2.2
	Post-grade	12	13.3
	Graduated	56	62.2
	Professional learning	8	8.9
	Medium or basic education	12	13.3
		90	100.0

Source: Table by authors

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