Access to finance in the euro area: what are SMEs telling us about the crisis? Annalisa Ferrando European Central Bank The economics of small businesses in the aftermath of the crisis. Cross-country analyses and policies Urbino, 21 October 2010 The views expressed are those of the author and should not be attributed to the European Central Bank
28
Embed
Access to finance in the euro area: what are SMEs telling us about the crisis? Annalisa Ferrando European Central Bank The economics of small businesses.
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Access to finance in the euro area: what are SMEs telling us about the crisis?
Annalisa FerrandoEuropean Central Bank
The economics of small businesses in the aftermath of the crisis. Cross-country
analyses and policiesUrbino, 21 October 2010
The views expressed are those of the author and should not be attributed
to the European Central Bank
2
Outline
1. Presentation of the survey: main characteristics, sample and design, questionnaire, dissemination of results
2. Main findings of the survey• Availability and needs of external
finance
3. Some preliminary results on the determinants of financing obstacles
4. Conclusions
3
1. Main characteristics of the survey• Joint survey ECB - European Commission (DG ENTR) on
the “Access to finance of European SMEs”
• Frequency– Every 6 months: ECB part on latest developments in
financing conditions– Every 2 years: full survey (incl. more forward-looking
and structural questions)
• Three rounds have been run so far :– Summer 2009: results refer broadly to first half of
2009– Winter 2009: results broadly refers to the 2nd half of
2009– Summer 2010: between 30 August and 21 September
– results broadly refer to first half of 2010 (to be published 22 October)
4
1. Sample size and design
• Sample: more than 8,500 firms of different sizes in the EU, of which 5,000 firms in the euro area
• 10% large firms; the rest equally divided among micro (<10), small (10-49) and medium (50-249)
• Representative:
– for each of the largest countries (Germany, France, Italy and Spain);
– for industry, construction, trade and services
– by firm size categories (4)
5
1. Questionnaire
• “Structural” information: firms’ size, age, type of ownership, sector, nationality, etc.
• Information on the financing needs, use of financing, and availability of finance
• Questions are often: “Over the past six months, has [X] improved, deteriorated, or remained unchanged?”– with [X] economic or financial indicators,
access to or needs for financing sources, or other topics
6
1. Dissemination of survey results
• Report on euro area results published by the ECB on its website (+ report published by the EC)
• Complete aggregate tables for all variables and various breakdowns (e.g. size, sector, countries) available on the website www.ecb.int
2. Main reasons for the deterioration of the availability of external financing for euro area SMEs…Factors having an impact on the availability
of external financing to euro area SMEs (change over the preceding six months, percentage of respondents)
9 12 15 16 14 1811 15
7 8
2636
3948
5959
6564
3742
6347
4230
24 21 16 14
3233
1811
6 4 6 8 6 5 5
0
10
20
30
40
50
60
70
80
90
100
2009H1
2009H2
2009H1
2009H2
2009H1
2009H2
2009H1
2009H2
2009H1
2009H2
Generaleconomic
outlook
Firm-specificoutlook
Firm’s owncapital
Firm’s credithistory
Will ingness ofbanks to
provide a loan
Improved Unchanged Deteriorated Not applicable/ did not want to use Don't know
Base: All SMEs.
1) Mostly, the general economic and firm-specific outlook
2) But some deterioration in banks’ willingness of to provide a loan is noticeable throughout the year 2009
14
2. .. and at country level for 2009H2
Factors having an impact on the availability of external financing to euro area SMEs (change over the preceding six months, percentage of respondents)
Base: All SMEs.
15 7 9 15 1121
10 15 18 13 12 7 7 8 7
36
25
49 3932
49
38
56 4948
3725
6043 48
4465
40 4146
2550
2725
2833 59
2035 22
- - - --
- - -- - 14 5 10
3 19
5 3 2 5 11 5 2 3 9 12 4 4 3 11 5
0
20
40
60
80
100
DE ES FR IT OtherEA
DE ES FR IT OtherEA
DE ES FR IT OtherEA
General economic outlook Firm-specific outlook Willingness of banks to provide aloan
Improved Remained unchanged Deteriorated Not applicable to my firm Don't know
15
2. Terms and conditions of bank financing remained tight for SMEs in 2009Outcome of application for external financing(% change compared with previous six months; % of respondents
Terms and conditions of bank loans granted to euro area SMEs(change over the preceding six months, % of firms that applied for bank loans)
34 35 40 42
16 15
34 39 34 36
31 34
44 45
55 57
5553
54 54
29 277 7
22 22
5 5 9 6 7 5 8 6 10 8
0
10
20
30
40
50
60
70
80
90
100
2009H1
2009H2
2009H1
2009H2
2009H1
2009H2
2009H1
2009H2
2009H1
2009H2
Level ofinterest
rates
Level of theother costs
of financing
Availablesize of loan
or credit l ine
Collateralrequirements
Otherrequirements
Increased by the bank Unchanged
Decreased by the bank Don't know
16
2. Terms and conditions of bank financing varied a lot across countries in 2009H2
Source: ECBNote: change over the preceding six months, net percentages based on firms that applied for bank loans. Negative sign: impact of the item decreased on net.
-4
39
-10-10
16 22
59
2734
26
-2 -18
4
-13
1 1
-2
4
-2 -1
61
25 2633 39
56
13 203637
-30
-15
0
15
30
45
60
75D
E ES
FR IT
Oth
er DE ES
FR IT
Oth
er DE ES
FR IT
Oth
er DE ES
FR IT
Oth
er DE ES
FR IT
Oth
er DE ES
FR IT
Oth
er
Level of interestrates
Level of the costof financingother than
interest rates
Available size ofloan or credit line
Availablematurity of the
loan
Collateralrequirements
Other
17
2. Lending rates to NFCs remain historically low
Source: ECB.
Note: Small loans (loans up to EUR 1 million) (proxy for loans to SMEs).
2. Outlook for 2010: large firms somewhat more optimistic than SMEs
Expectations regarding access to finance (change over the following six months, percentage of respondents)
SMEs Large firms
16 2112 14
6 8
58 5257 53
48 49
18 2116 20
911
9 8
31 28
6 4 6 5 6 5
0
10
20
30
40
50
60
70
80
90
100
2009 H1 2009 H2 2009 H1 2009 H2 2009 H1 2009 H2
Internal funds Bank loans Trade credit
Expected to improve Expected to remain unchanged
Expected to deteriorate Not applicable
Don't know
23 2813 18
8 7
52 47
61 53
55 51
20 2013 18
68
8 8
28 31
4 5 4
0
10
20
30
40
50
60
70
80
90
100
2009 H1 2009 H2 2009 H1 2009 H2 2009 H1 2009 H2
Internal funds Bank loans Trade credit
Expected to improve Expected to remain unchanged
Expected to deteriorate Not appl icable
Don't know
Base: All SMEs.
19
2. Some indications for 2010H1
• Survey results confirm the timid revival of economic activity with clear signs of improvements for large firms but less favourable situation for SMEs (turnover, profitability).
• SMEs indicated a slightly more intense use of external sources of finance (overdrafts, credit lines and bank loans).
• A less severe deterioration in the availability of external financing and a mild increase in financing needs for SMEs → in aggregated terms the gap between needs and availability of bank loans has decreased.
• High heterogeneity across countries (DE versus ES).
20
3. Determinants of financing obstacles for euro area NFCs
Are they different during a financial crisis?
The SAFE survey gives us the opportunity to test what firm characteristics are valid predictors of financing obstacles across countries in a period of financial crisis.
21
3 Previous results• Measures of financing obstacles using the survey
results of the WBES (World Bank)
– Beck et al. (2006, 2008) find that age, size (not for developed countries) , sector and ownership structure predict financing obstacles.
– For five major EA countries, Coluzzi et al. (2009) find age, size (but not always), sectors and economic performance explain probability of financing obstacles.
– For Italian firms, Angelini and Generale (2008) find a negative link between financial constraints and firm size but this seems to be a real problem only for a small portion of their sample. More important is the link between financial constraints and firm age.
22
3. Some preliminary results based on 2nd SAFE wave
• Age and ownership remain important explanatory variables
• Mixed results are achieved for size and economic branches.
– One explanation would be : the recent financial crisis has been widespread across various sectors and size, outweighing existing structural differences in the access to finance, once controlling for other characteristics.
• These preliminary results are confirmed– probit regressions at country level/sector level– when we introduce other explanatory variables, such as
bank loan applications,– when we consider the interaction between financing
obstacles and use of external sources of finance.
23
3. A simple model
• Probit model
• FinObst is the response by firm i in country k and indicates access to finance as most pressing problem.
• Firm characteristics: vector of major firm attributes (e.g. size dummies, sectoral dummies, dummies for turnover and ownership, firm age).
• Country is a vector of country dummies
• Only observations with non-missing values on the relevant variables are considered, allowing the number of observations to be kept constant across estimations of the same type .
24
3. Experiencing financing obstacles – The role of firm characteristics
•Country dummies included, all significant:
wrt DE:
Negative coeff:Austria, Finland (-0.5) Belgium, France (-0.3) Portugal (-0.2) Netherlands (-0.1)
Firm sizea Micro 0.149* 0.0973 0.0335 (0.0784) (0.0881) (0.107) Small 0.131* 0.0858 0.0329 -0.00143 (0.0762) (0.0827) (0.0696) (0.132) Medium 0.115** 0.0966* 0.0732 0.0396 (0.0476) (0.0500) (0.0491) (0.0999) Log of firm age -0.128*** -0.132*** -0.131*** -0.128*** (0.0279) (0.0293) (0.0304) (0.0323) Sectorb Industry -0.0510 -0.0376 -0.0374 0.00894 (0.136) (0.130) (0.126) (0.140) Service -0.110 -0.104 -0.101 -0.0593 (0.128) (0.123) (0.123) (0.134) Trade -0.0578 -0.0498 -0.0577 -0.0161 (0.125) (0.120) (0.120) (0.125) Autonomous 0.216* 0.170 0.162 profit orientedc (0.110) (0.108) (0.113) Firm Ownershipd Family or entrepreneurs 0.267*** 0.289*** (0.0679) (0.0941) Other firms 0.152** 0.167* (0.0683) (0.0978) Venture capital firms or 0.572*** 0.618*** business angels (0.209) (0.219) Natural person 0.284*** 0.304*** (0.0692) (0.0715) Other -0.0720 -0.255 (0.148) (0.288)
Observations 4,742 4,742 4,742 4,282
Pseudo R2 0.0645 0.0667 0.0712 0.0692
25
3. A bivariate probit model
• Investigate the existence of underlying factors that (simultaneously) determine both the experience of financing obstacles and firms’ financing patterns (internal vs. external).
• Under the hypothesis
26
External finance and financing obstacles – a bivariate probit model