Firm size, source of finance, and growth:evidence from China

Using a comprehensive firm-level data set from China spanning the period 1998–2005, this study investigates the relationship between firm size, financing sources, and total factor productivity growth. Controlling for the endogeneity of financing sources, we find that firm size plays an important role in the way financial structure affects the growth process. Domestic bank loans are more effective for bigger firms, while self-raised finance is more beneficial to smaller firms’ growth. We also uncover evidence that ownership mediates the relationship between firm size, finance, and growth.

Source of finance, growth and firm size:evidence from China

Using a comprehensive firm-level dataset spanning the period 1998-2005, this paper provides a thorough investigation of the relationship between firm size, total factor productivity growth and financial structure in China, controlling for the endogeneity of the latter. Generally, it finds financing source matters for firms of different size, and the extent to which financing source matters for firm growth is greater for small firms than big firms. Self-raised finance appears to be most effective in promoting small firms to grow, and bank loan seems to be more supportive to big firms. The relationship between size, finance and growth also depends on ownership. In addition, there exist strong complementarities between formal and informal finance, as well as between indigenous and foreign finance.

Source localization methods

One of the most pressing demands on electrophysiology applied to the diagnosis of epilepsy is the non-invasive localization of the neuronal generators responsible for brain electrical and magnetic fields (the so-called inverse problem). These neuronal generators produce primary currents in the brain, which together with passive currents give rise to the EEG signal. Unfortunately, the signal we measure on the scalp surface doesn't directly indicate the location of the active neuronal assemblies. This is the expression of the ambiguity of the underlying static electromagnetic inverse problem, partly due to the relatively limited number of independent measures available. A given electric potential distribution recorded at the scalp can be explained by the activity of infinite different configurations of intracranial sources. In contrast, the forward problem, which consists of computing the potential field at the scalp from known source locations and strengths with known geometry and conductivity properties of the brain and its layers (CSF/meninges, skin and skull), i.e. the head model, has a unique solution. The head models vary from the computationally simpler spherical models (three or four concentric spheres) to the realistic models based on the segmentation of anatomical images obtained using magnetic resonance imaging (MRI). Realistic models – computationally intensive and difficult to implement – can separate different tissues of the head and account for the convoluted geometry of the brain and the significant inter-individual variability. In real-life applications, if the assumptions of the statistical, anatomical or functional properties of the signal and the volume in which it is generated are meaningful, a true three-dimensional tomographic representation of sources of brain electrical activity is possible in spite of the ‘ill-posed’ nature of the inverse problem (Michel et al., 2004). The techniques used to achieve this are now referred to as electrical source imaging (ESI) or magnetic source imaging (MSI). The first issue to influence reconstruction accuracy is spatial sampling, i.e. the number of EEG electrodes. It has been shown that this relationship is not linear, reaching a plateau at about 128 electrodes, provided spatial distribution is uniform. The second factor is related to the different properties of the source localization strategies used with respect to the hypothesized source configuration.

Is keiretsu really a source of competitive advantage for Japanese automotive suppliers?

Purpose - The purpose of this paper is to examine how firms create and sustain competitive advantage in the inter-firm business relationships from a supplier's perspective. It also investigates what factors affect their competitiveness and relationship between buyers and suppliers. Design/methodology/approach - This is an exploratory study on keiretsu partnerships composed of four main phases: analysis of theoretical perspectives, construction of a conceptual framework, interview of a CEO, and finally, a survey questionnaire with Japanese automotive suppliers. Findings - As a result, this paper classified these 11 companies into four supplier groups (affiliated or independent Tier 1 suppliers; affiliated or independent Tier 2 suppliers) and analysed their competitiveness developing the research propositions further. The benefits of affiliation under a keiretsu partnership are discussed, showing that there may be little benefit in being an affiliated Tier 1 supplier. Even more critical, the results show that independent Tier 2 supplier may be more competitive than affiliated tier ones. Originality/value - These intriguing results reveal an urgent need of investigating Japanese automotive supply chains from the suppliers' perspectives in the future research. This paper extended the literatures on competitive advantage and business relationships at both theory and managerial practice.