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This article estimates the loan spread equation taking into account the endogenous matching between banks and firms in the loan market. To overcome the endogeneity problem, I supplement the loan spread equation with a two-sided matching model and estimate them jointly. Bayesian inference is feasible using a Gibbs sampling algorithm that performs Markov chain Monte Carlo (MCMC) simulations. I find that medium-sized banks and firms tend to be the most attractive partners, and that liquidity is also a consideration in choosing partners. Furthermore, banks with higher monitoring ability charge higher spreads, and firms that are more leveraged or less liquid are charged higher spreads.

This paper describes how firm characteristics evolve in different industries. In particular, it reports on relationships between industry performance and competitor diversity in the American economy from 1981 to 1997. Industry performance is measured using a prospective measure of performance (Tobin's q) and a measure of performance that reflects historical competence (accounting profitability). Competitor diversity is characterized by differences in size, operating margin, asset composition, and asset utilization. The results indicate significant diversity among competitors in both high- and low-performance industries. The study suggests that low industry performance may be associated with processes of transition in competitor characteristics.

We examine why Cash ETRs of US domestic firms have decreased over time. Using samples from two periods – an early period (1994–1998) and a late period (2011–2015) – we regress Cash ETRs in each period on a set of explanatory variables, and allow coefficients to differ across time periods. We find that, when coefficients are allowed to differ, there is no longer a decline in the unexplained portion of Cash ETR across the two periods, and that the previously observed decline is associated with a change in the relation between firm size and Cash ETR between the two periods. Further analysis suggests that the coefficient on firm size has been declining over the past 20 years, and that controlling for this time trend alone is sufficient to explain the declining trend in Cash ETRs for domestic firms.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

The sharp increase in interest in social networks among marketing scholars and practitioners has coincided with the rapid proliferation of social networks among broader populations. Considering the substantial body of research that has emerged, it is an opportune time to reflect on the state of social network research (SNR) in marketing. Therefore, this chapter reviews recent marketing research, organized according to substantive areas of interest, followed by a discussion of critical dimensions of SNR for researchers, including network actor characteristics, modes, boundaries, impacts, and mechanisms, as well as the relevant level of analysis. By documenting how SNR can inform marketing decisions and influence marketing outcomes, this study also establishes recommendations for research to advance the state of SNR in marketing. A 2 × 2 classification schema reveals four categories that might guide scholars' choices of research designs, theories, constructs, and measures for SNR.

The origin and nature of meaningful, persistent firm-specific differences is a central issue in the study of business strategy. I investigate in this paper the role of characteristics physically external to firms, but embodied in their local geographic areas, in driving differences in firms’ organizing strategies. Specifically, I examine the extent to which location-specific characteristics affect the organization of pharmaceutical firms’ research laboratories bringing both qualitative and quantitative evidence to bear on this issue. Analyses of the histories of several late 19th century drug makers suggest that differences in local institutions, labor markets, and demand structures played important roles in affecting case firms’ strategic evolution. For example, while Mulford (Philadelphia PA) exploited the strength of nearby universities and the city’s public health system in organizing around leading-edge capabilities in bacteriology, Sterling (Wheeling WV) found that its local environment rewarded investments in marketing and distribution. Panel data analysis on a sample of firms from the late 20th century provides complementary evidence, demonstrating that the scientific orientation of modern drug discovery laboratories is positively and significantly correlated with measures of the strength of the local scientific and technical base. Together, these analyses suggest that location-specific characteristics may be important in driving firm heterogeneity and, ultimately, competitive advantage.

The chapter investigates three channels through which private benefits are hypothesized to be extracted in dual class companies: excess executive compensation, excess capital expenditures and excess cash holdings.

With a propensity score matched sample of S&P 1500 dual class and single class companies with concentrated control, the chapter analyzes the relationship between the valuation discount of dual class companies and measures of excess executive compensation, excess capital expenditure and excess cash holdings.

Executives in dual class firms earn greater compensation relative to their counterparts in single class firms. This excess compensation is more pronounced when the executive is a family member. The value of dual class shares is discounted most when cash holdings and executive compensation of dual class are excessive. Excess compensation is highest for executives who are family members of dual class companies. The dual class discount is not related to excess capital expenditures.

The research shows that the discount in the value of dual class shares in relation to the value of closely controlled single class company shares is directly related to the channels through which controlling shareholder-managers can extract private benefits.

This chapter investigates whether, and if so, how particular firms in a transition economy are involved in bribery. Built on pressure theories, we explain how the direct effects of firm characteristics and contextual characteristics determine firm bribery behavior. Entrepreneurs make choices based on perceptions of a specific pressure due to organizational characteristics (internal pressures) or due to context (external pressures). The relationship between firm characteristics, context, and bribery was estimated using unique data from a survey of 606 Vietnamese entrepreneurs. We controlled for various entrepreneurial, organizational, and industrial characteristics. The exploratory findings support firm attributes hypotheses, which is a negative relationship between firm size and bribery and a nonmonotonic U-shaped relationship between firm age and bribery. Besides, the effects of context on bribery are also found. Specifically, the result supports a positive relationship between competition and bribery and a negative relationship between the quality of the government and bribery.

Purpose – We study the investment behavior of foreign institutional investors operating in China. A detailed analysis of foreign institutional investors is examined, along with a comparison of domestic Chinese investors.

Methodology/approach – We adopt annual Chinese stock market data for the period 2003–2009 for both foreign and domestic funds to analyze the industrial preference of foreign funds and compare the different preferences between foreign funds and domestic Chinese funds in relation to financial characteristic and corporate governance indicators.

Findings – The analysis reveals that foreign funds have a preference for a range of sectors such as transportation, metals and nonmetals, and machinery, as opposed to industries with a requirement for local knowledge. The portfolios of domestic Chinese funds are distributed more evenly across sectors, compared to foreign funds. The comparative analysis reveals that the companies foreign funds invest in are significantly different from those firms favored by domestic funds in terms of size, profit, and management compensation.

Social implications – These empirical findings highlight the differences between foreign and domestic funds investment preferences and has implications for policy makers aiming to attract foreign investors to emerging markets.

Originality/value of chapter – Our chapter not only provides an introduction on the QFII scheme in China, but also examines the impact of a comprehensive range of firm-level characteristics, financial and corporate governance indicators, on the investment decisions of foreign and domestic funds in emerging markets.

We are interested in modeling the impact of spatial and interindustry dependence on firm-level innovation of Chinese firms The existence of network ties between cities imply that changes taking place in one city could influence innovation by firms in nearby cities (local spatial spillovers), or set in motion a series of spatial diffusion and feedback impacts across multiple cities (global spatial spillovers). We use the term local spatial spillovers to reflect a scenario where only immediately neighboring cities are impacted, whereas the term global spatial spillovers represent a situation where impacts fall on neighboring cities, as well as higher order neighbors (neighbors to the neighboring cities, neighbors to the neighbors of the neighbors, and so on). Global spatial spillovers also involve feedback impacts from neighboring cities, and imply the existence of a wider diffusion of impacts over space (higher order neighbors).

Similarly, the existence of national interindustry input-output ties implies that changes occurring in one industry could influence innovation by firms operating in directly related industries (local interindustry spillovers), or set in motion a series of in interindustry diffusion and feedback impacts across multiple industries (global interindustry spillovers).

Typical linear models of firm-level innovation based on knowledge production functions would rely on city- and industry-specific fixed effects to allow for differences in the level of innovation by firms located in different cities and operating in different industries. This approach however ignores the fact that, spatial dependence between cities and interindustry dependence arising from input-output relationships, may imply interaction, not simply heterogeneity across cities and industries.

We construct a Bayesian hierarchical model that allows for both city- and industry-level interaction (global spillovers) and subsumes other innovation scenarios such as: (1) heterogeneity that implies level differences (fixed effects) and (2) contextual effects that imply local spillovers as special cases.