Impact of inter-firm cooperation on company's performance: a comparative analysis of European Union and Russia

The identification of the differences in the influence of company's participation in inter-firm relationships on financial performance between European and Russian companies. Inter-firm cooperation phenomenon. Case-study Analysis vs Econometric Modelling.

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Appendix 1

Variables definitions

Indicators

Description

Type

Measure

Control Variables

Company Age

Number of years since firm starts its activities

Quantitative

Units

Number of Employees

Number of people working in the company

Quantitative

Units

Current Assets

Value of companies' current asset

Quantitative

million €

Intangible Assets

Value of companies' intangible assets

Quantitative

million €

Patents

Number of patents, licenses, trademarks registered in a year

Quantitative

Units

Directors' qualification

Reflects the quality of directors' board in terms of sufficient education and experience:

If more than one third of directors have postgraduate level qualifications and more than 5-years experience - 2 points.

If more than one third of directors have postgraduate level qualifications or more than 5-years experience - 1 point.

Otherwise - 0.

Categorical

Categories from 0 to 2

Location in capital

Variable which takes value of 1 if company is located in the capital city (center of a region), otherwise - 0 points

Binary

Categories 0 and 1

Location near university

Variable which takes value of 1 if company is located in the same city that one of the top-20 country's universities is, otherwise - 0 points

Binary

Categories 0 and 1

Inter-firm cooperation classification

Number of subsidiaries

Number of companies which are completely or partly owned by a focal firm

Quantitative

Units

Participation in business associations

For those companies which are involved in associations such as trade unions, etc. it is given 1 point and otherwise 0 points

Binary

Categories 0 and 1

Web-site quality

Rank of the companies web-site based on the following criteria:

· Availability of information for investors (1 point)

· Multi-lingual information (with English language) (1 point)

· Amount of information (more than 10 pages) (1 point)

· Design (using flash animation) (1 point)

The Integral Index is the sum of points

Categorical

Categories from 0 to 4

EVA

Companies' Economic Value Added

Quantitative

`000 €

Appendix 2

Descriptive statistics for EU sub-panel

Variable

Mean

Std. Dev.

Min

Max

Observations

EVA

overall

-52.79

392.20

-4727.39

4900.15

N

=

7080

between

307.83

-2537.76

3213.18

n

=

885

within

243.20

-4216.66

2190.60

T

=

8

Age

overall

47.79

42.32

0.00

206.00

N

=

7080

between

42.28

3.50

202.50

n

=

885

within

2.29

44.29

51.29

T

=

8

Current Assets

overall

1037.62

3360.11

0.08

68650.00

N

=

7080

between

3250.27

0.30

59690.25

n

=

885

within

857.57

-24136.09

30593.91

T

=

8

Directors' qualification

overall

1.21

0.75

0.00

2.00

N

=

6696

between

0.75

0.00

2.00

n

=

837

within

0.00

1.21

1.21

T

=

8

Number of employees

overall

10277.74

28241.52

2

297965.00

N

=

7080

between

27894.74

7.75

269929.00

n

=

885

within

5509.63

-93163.14

133355.60

T

=

8

Intangible Assets

overall

796.42

3372.58

-375.96

61718.00

N

=

7080

between

3217.11

0.00

51706.63

n

=

885

within

1009.34

-21419.72

21845.28

T

=

8

Patents

overall

268.66

2315.20

0.00

63340.00

N

=

7368

between

2299.25

0.00

55285.13

n

=

824

within

280.39

-8812.47

12784.66

T

=

8

Location in capital city

overall

0.42

0.49

0.00

1.00

N

=

7080

between

0.49

0.00

1.00

n

=

885

within

0.00

0.42

0.42

T

=

8

Location near university

overall

0.44

0.50

0.00

1.00

N

=

7080

between

0.50

0.00

1.00

n

=

885

within

0.00

0.44

0.44

T

=

8

France

overall

0.34

0.47

0.00

1.00

N

=

7080

between

0.48

0.00

1.00

n

=

885

within

0.00

0.34

0.34

T

=

8

Germ

overall

0.24

0.43

0.00

1.00

N

=

7080

between

0.43

0.00

1.00

n

=

885

within

0.00

0.24

0.24

T

=

8

Italy

overall

0.03

0.17

0.00

1.00

N

=

7080

between

0.17

0.00

1.00

n

=

885

within

0.00

0.03

0.03

T

=

8

Spain

overall

0.06

0.23

0.00

1.00

N

=

7080

between

0.23

0.00

1.00

n

=

885

within

0.00

0.06

0.06

T

=

8

UK

overall

0.33

0.47

0.00

1.00

N

=

7080

between

0.47

0.00

1.00

n

=

885

within

0.00

0.33

0.33

T

=

8

Inter-firm Cooperation

overall

0.64

0.48

0.00

1.00

N

=

7080

between

0.48

0.00

1.00

n

=

885

within

0.00

0.64

0.64

T

=

8

Appendix 3

Descriptive statistics for Russian sub-panel

Variable

Mean

Std. Dev.

Min

Max

Observations

EVA

overall

1.44

87.99

-3018.26

2131.69

N

=

4928

between

46.01

-263.56

908.93

n

=

616

within

75.02

-2753.26

2183.41

T

=

8

Age

overall

34.17

37.46

0.00

293.00

N

=

4928

between

37.42

3.50

289.50

n

=

616

within

2.29

30.67

37.67

T

=

8

Current Assets

overall

81.30

696.57

0.00

29485.48

N

=

4928

between

516.07

0.01

11930.33

n

=

616

within

468.24

-5176.97

25726.71

T

=

8

Directors' qualification

overall

0.92

0.68

0.00

2.00

N

=

4456

between

0.68

0.00

2.00

n

=

557

within

0.00

0.92

0.92

T

=

8

Number of employees

overall

1938.99

4277.11

1.00

99842.00

N

=

4928

between

4192.15

2.86

89358.88

n

=

616

within

755.76

-5109.88

12392.12

T

=

8

Intangible Assets

overall

0.26

3.16

0.00

163.43

N

=

4928

between

1.90

0.00

29.21

n

=

616

within

2.53

-28.94

134.48

T

=

8

Patents

overall

7.15

28.91

0.00

449.00

N

=

4928

between

28.56

0.00

449.00

n

=

616

within

4.64

-104.48

121.65

T

=

8

Location in capital city

overall

0.35

0.48

0.00

1.00

N

=

4928

between

0.48

0.00

1.00

n

=

616

within

0.00

0.35

0.35

T

=

8

Location near university

overall

0.31

0.46

0.00

1.00

N

=

4928

between

0.46

0.00

1.00

n

=

616

within

0.00

0.31

0.31

T

=

8

Inter-firm Cooperation

overall

0.32

0.47

0.00

1.00

N

=

4928

between

0.47

0.00

1.00

n

=

616

within

0.00

0.32

0.32

T

=

8

Appendix 4

Poolability test. Beta's and SE's for regressions by country

Beta's and SE's

France

Germany

Italy

Spain

UK

Inter-firm cooperation

1472.76

-16200.00

-1652.04

-17900.0

846.279

(1073.15)

(17386.68)

(1499.17)

(23864.5)

(454.74)

Directors'

qualification

507.60

-1780.38

1234.35

-14100.0

2424.28

(471.09)

(6467.80)

(654.88)

(15590.1)

(1681.81)

Current Assets

0.013

0.102

0.195

0.012

0.021

(0.007)

(0.008)

(0.102)

(0.062)

(0.012)

Number of employees

-0.003

-0.014

-0.16

0.005

-0.007

(0.001)

(0.001)

(0.024)

(0.007)

(0.001)

Age

-1.852

-6.868

-20.336

-91.816

-1.582

(2.17)

(2.367)

(6.089)

(9.491)

(2.19)

Patents

-0.019

-0.016

4.854

8.019

0.424

(0.015)

(0.015)

(3.924)

(3.991)

(0.044)

Intangible Assets

-0.059

-0.048

-0.891

-0.192

-0.024

(0.005)

(0.007)

(0.076)

(0.066)

(0.008)

Location in capital city

47.47

337.97

-91.74

2229.01

-18.67

(152.17)

(899.67)

(672.636)

(4794.1)

(251.212)

Location near university

-849.04

-903.35

627.8

8376.15

-282.66

(427.93)

(810.36)

(890.58)

(9534.44)

(271.07)

Appendix 5

Gross domestic product at market prices in Billions of Euro*

2004

2005

2006

2007

2008

2009

2010

2011

Germany

2 195

2 224

2 313

2 428

2 473

2 374

2 495

2 609

Spain

841

909

985

1 053

1 087

1 046

1 045

1 046

France

1 655

1 718

1 798

1 886

1 933

1 885

1 936

2 001

Italy

1 397

1 436

1 493

1 554

1 575

1 519

1 551

1 579

UK

1 787

1 867

1 979

2 086

1 836

1 590

1 731

1 770

% in total GDP

74%

74%

73%

72%

71%

72%

71%

71%

EU(27)

10 625

11 092

11 724

12 430

12 501

11 770

12 292

12 667

*Source: European Statistic Agency "Eurostat" URL: epp.eurostat.ec.europa.eu

Appendix 6

Comparison of variances and means for Number of Patents Variable grouping by participation in cooperation

Group

Observations

Mean

St. Error

Std. Dev

0

661

50.08

25.12

715.78

1

688

235.52

75.50

2101.26

Variance ratio test

Ratio = sd(0) / sd (1)

f =0.11

H0: Ratio = 1

degrees of freedom =687, 660

Ha: Ratio < 1

Ha: ratio = 1

Ha: ratio > 1

Pr(F< f) = 0.00

2*Pr(F < f)=0.00

Pr(F > f)=1.00

Two-sample t-test with unequal variances

diff = mean(0) - mean(1)

t = -2.32

Ho: diff = 0

Satterthwaite's degrees of freedom = 965.427

Ha: diff < 0

Ha: diff = 0

Ha: diff > 0

Pr(T < t) = 0.01

Pr(|T| > |t|) = 0.02

Pr(T > t) = 0.99

Comparison of variances and means for Intangible Assets Variable grouping by participation in cooperation

Group

Observations

Mean

St. Error

Std. Dev

0

661

81.79

23.99

673.73

1

688

495.36

101.34

2944.128

Variance ratio test

Ratio = sd(0) / sd (1)

f =0.05

H0: Ratio = 1

degrees of freedom =687, 660

Ha: Ratio < 1

Ha: ratio = 1

Ha: ratio > 1

Pr(F< f) = 0.00

2*Pr(F < f)=0.00

Pr(F > f)=1.00

Two-sample t-test with unequal variances

diff = mean(0) - mean(1)

t = -3.97

Ho: diff = 0

Satterthwaite's degrees of freedom = 936.944

Ha: diff < 0

Ha: diff = 0

Ha: diff > 0

Pr(T < t) = 0.00

Pr(|T| > |t|) = 0.00

Pr(T > t) = 1.00

Appendix 7

Structural Profile of Enterprise Distribution by industry for EU economy and Sample

Industry (NACE classification)

Whole economy*

Sample

Difference

Agriculture, Forestry, Fishing and Hunting

3.98%

0.10%

-3.88%

Mining, Quarrying, and Oil and Gas Extraction

1.99%

1.61%

-0.38%

Utilities (provision of electric power, natural gas, steam supply, water supply, and sewage removal)

7.95%

1.21%

-6.75%

Construction

3.58%

4.33%

0.75%

Manufacturing

13.92%

23.94%

10.03%

Wholesale Trade

6.76%

4.43%

-2.33%

Retail Trade

11.53%

2.62%

-8.92%

Transportation and Warehousing

5.57%

2.31%

-3.25%

Information

3.58%

3.82%

0.24%

Finance and Insurance

3.18%

2.72%

-0.46%

Real Estate and Rental and Leasing

4.37%

5.13%

0.76%

Professional, Scientific, and Technical Services

5.96%

10.06%

4.10%

Management of Companies and Enterprises

17.89%

30.68%

12.79%

Administrative and Support and Waste Management and Remediation Services

3.58%

3.12%

-0.46%

Educational Services

0.40%

0.20%

-0.20%

Health Care and Social Assistance

0.80%

0.50%

-0.29%

Arts, Entertainment, and Recreation

1.19%

0.60%

-0.59%

Accommodation and Food Services

2.39%

1.81%

-0.57%

Other Services (except Public Administration)

0.99%

0.70%

-0.29%

Public Administration

0.40%

0.10%

-0.30%

*Source: European Statistic Agency "Eurostat" URL: epp.eurostat.ec.europa.eu

Appendix 8

Structural Profile of Enterprise Distribution by industry for Russian economy and Sample

Industry (OKVED)

Whole economy*

Sample

Difference

Agriculture, Forestry and Hunting

14.11%

1.56%

-12.54%

Fishing

0.32%

0.00%

-0.32%

Minerals Extraction

1.19%

5.95%

4.76%

Processing Industry

24.24%

35.38%

11.15%

Provision of electric power, natural gas, water supply

1.63%

8.76%

7.13%

Construction

11.55%

17.84%

6.29%

Wholesale Trade and Retail Trade

28.77%

17.20%

-11.57%

Hotel and Restaurant Industry

1.14%

0.16%

-0.98%

Transportation and Communication

4.32%

4.54%

0.22%

Financial Sector

1.79%

0.31%

-1.48%

Real Estate, Rental and Other Services

8.72%

8.14%

-0.58%

Education

0.33%

0.00%

-0.33%

Healthcare

0.84%

0.16%

-0.68%

Other social and Personal Services

1.05%

0.00%

-1.05%

*Source: Russian Statistic Agency "Rosstat" URL:rosstat.ru

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