Modelling the Effects of Public Support to Small Firms in the UK - Paradise Gained?



Modelling the Effects of Public Support to Small Firms in the UK - paradise Gained?

Table 3: Probit Models for the Probability of Receiving BL Assistance

Equation 1            Equation 2           Equation 3

Coeff.

T-stat

Coeff.

T-stat

Coeff.

T-stat

Constant____________________

-1.0538**

-2.52

-1.0795**

-2.50

-1.0066**

-3.49

Firm Characteristics________

Partnership___________________

0.2417

1.09

0.0545

0.22

Employment in 1996________

-0.0026

-1.05

-0.0030

-1.15

-0.0034

-1.26

Turnover Growth 94-96_____

-0.0087

-0.08

Employment Growth 94-96

-0.0277

-0.25

Business Age (yrs)___________

0.0076

0.57

0.0039

0.29

Informational Variables
(i.e., How business found
out about BL)_____________

Other BL clients_____________

0.4126**

2.12

0.3778*

1.90

0.2998*

1.68

Mailshots from BL__________

0.0580

0.30

0.0892

0.45

Direct Contact from BL______

0.8223**

4.53

0.8550**

4.52

0.7879**

5.10

BL Advertising_____________

-0.1411

-0.73

-0.2281

-1.14

Media articles on BL________

-0.0299

-0.15

-0.0526

-0.26

Directed to BL______________

-0.1553

-0.77

-0.1320

-0.64

O-M Characteristics________

Founder in Firm____________

-0.1203

-0.61

-0.1158

-0.59

O-M has significant equity in
the business___________________

0.0880

0.40

0.0708

0.32

0.1686

0.86

O-M shares power with
others_________________________

0.4337**

2.44

0.4642**

2.53

0.4244**

2.53

O-M Qualifications -
Apprenticeship or below_____

0.3499*

1.71

0.4363**

2.03

0.3426*

1.77

O-M Qualifications -
Graduate___________________

0.1888

0.93

0.2913

1.41

0.2056

1.07

O-M Age 20-30___________

0.8389

1.00

O-M Age 40-50___________

0.2193

1.28

0.2696

1.53

0.1904

1.19

Large/Small Firm

Experience.__________________

-0.2152

-1.60

-0.1563

-1.13

-0.2300*

-1.82

Number of observations______

290

274

310

Chi Square (9-18)____________

49.70

46.83

48.46

% Correct Predictions________

68.6

67.8

67.4

Log Likelihood_____________

-172.16

-162.95

-186.59

Restricted Log Likelihood

-197.02

-186.37

-210.82

Notes: The dependent variable in each Probit model is a 0/1 variable. O indicates that the firm did not
receive BL assistance (i.e. controls); 1 indicates that the firm did receive BL assistance (i.e.
actions). Statistically significant variables are denoted as follows: ** denotes variables
significant at the 5 per cent level; * denotes significance at 10 per cent.

Stephen Roper and Mark Hart

15




More intriguing information

1. EDUCATIONAL ACTIVITIES IN TENNESSEE ON WATER USE AND CONTROL - AGRICULTURAL PHASES
2. The name is absent
3. Washington Irving and the Knickerbocker Group
4. The name is absent
5. The name is absent
6. Reputations, Market Structure, and the Choice of Quality Assurance Systems in the Food Industry
7. The name is absent
8. The name is absent
9. Structural Conservation Practices in U.S. Corn Production: Evidence on Environmental Stewardship by Program Participants and Non-Participants
10. The name is absent
11. Improving the Impact of Market Reform on Agricultural Productivity in Africa: How Institutional Design Makes a Difference
12. Categorial Grammar and Discourse
13. The name is absent
14. El Mercosur y la integración económica global
15. Conditions for learning: partnerships for engaging secondary pupils with contemporary art.
16. The Impact of Cognitive versus Affective Aspects on Consumer Usage of Financial Service Delivery Channels
17. THE INTERNATIONAL OUTLOOK FOR U.S. TOBACCO
18. Perceived Market Risks and Strategic Risk Management of Food Manufactures: Empirical Results from the German Brewing Industry
19. Electricity output in Spain: Economic analysis of the activity after liberalization
20. Using Surveys Effectively: What are Impact Surveys?