Capital structure and innovation: causality and determinants

被引:56
作者
Bartoloni, Eleonora [1 ,2 ]
机构
[1] ISTAT, Natl Inst Stat, I-20123 Milan, Italy
[2] Univ Warwick, Warwick Business Sch, Coventry CV4 7AL, W Midlands, England
关键词
Capital structure; Innovation; Profitability; Community innovation survey; Panel data; INITIAL CONDITIONS; PANEL-DATA; MODELS; FINANCE;
D O I
10.1007/s10663-011-9179-y
中图分类号
F [经济];
学科分类号
02 ;
摘要
It is widely recognized that a firm's financial behaviour is the result of a complex mix of conditions, both internal and external to the firm; these may affect its investment decisions and its growth opportunities. This paper offers a twofold contribution to the empirical debate on the financing of innovation. First of all, it provides a comprehensive descriptions of possible simultaneous patterns which may affect a firm's relevant dimensions, namely innovation inputs, innovation output, leverage and profitability. By using a Granger-Causality framework we will show that a firm's leverage does not cause innovation output, as proxied by a measure of a firm's successful innovation, while it is rather caused by successful innovation and a firm's operating profitability. The second contribution is an original investigation of the determinants of a firm's capital structure based on a panel of Italian firms which links the third Community Innovation Survey with an administrative data source providing economic and financial information collected from balance sheets and income statements referring to the period 1996-2003. This paper provides support for the pecking order theory as our firms are less indebted when operating profitability increases, but the use of external funding increases with their innovative effort. We also find support for the existence of credit constrains which seem to affect small innovative firms when compared with larger enterprises.
引用
收藏
页码:111 / 151
页数:41
相关论文
共 43 条
[1]   TECHNOLOGY AND FINANCIAL STRUCTURE: ARE INNOVATIVE FIRMS DIFFERENT? [J].
Aghion, Philippe ;
Klemm, Alexander ;
Bond, Stephen ;
Marinescu, Ioana .
JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION, 2004, 2 (2-3) :277-288
[2]   FORMULATION AND ESTIMATION OF DYNAMIC-MODELS USING PANEL DATA [J].
ANDERSON, TW ;
HSIAO, C .
JOURNAL OF ECONOMETRICS, 1982, 18 (01) :47-82
[3]  
[Anonymous], 2010, HDB EC INNOVATION
[4]  
[Anonymous], CEMMAP WORKING PAPER
[5]   ANOTHER LOOK AT THE INSTRUMENTAL VARIABLE ESTIMATION OF ERROR-COMPONENTS MODELS [J].
ARELLANO, M ;
BOVER, O .
JOURNAL OF ECONOMETRICS, 1995, 68 (01) :29-51
[6]   The determinants of technology adoption in Italian manufacturing industries [J].
Bartoloni, E ;
Baussola, M .
REVIEW OF INDUSTRIAL ORGANIZATION, 2001, 19 (03) :305-328
[7]   Initial conditions and moment restrictions in dynamic panel data models [J].
Blundell, R ;
Bond, S .
JOURNAL OF ECONOMETRICS, 1998, 87 (01) :115-143
[8]  
Bottazzi L., 2002, ECON POLICY, V17, P231
[9]   ON THE EXISTENCE OF AN OPTIMAL CAPITAL STRUCTURE - THEORY AND EVIDENCE [J].
BRADLEY, M ;
JARRELL, GA ;
KIM, EH .
JOURNAL OF FINANCE, 1984, 39 (03) :857-878
[10]   Funding gaps? Access to bank loans by high-tech start-ups [J].
Colombo, Massimo G. ;
Grilli, Luca .
SMALL BUSINESS ECONOMICS, 2007, 29 (1-2) :25-46