The Role of Collateral in Entrepreneurial Finance

Abstract:  Previous research has suggested collateral has the role of sorting entrepreneurs either by observed risk or by private information. In order to test these roles, this paper develops a model which incorporates a signalling process (sorting by observed risk) into the design of an incentive-compatible menu of loan contracts which works as a self-selection mechanism (sorting by private information). It then tests this Sorting by Signalling and Self-Selection Model, using the 1998 US Survey of Small Business Finances. It reports for the first time that: high type entrepreneurs are more likely to pledge collateral and pay a lower interest rate; and entrepreneurs who transfer good signals enjoy better contracts than those transferring bad signals. These findings suggest that the Sorting by Signalling and Self-Selection Model sheds more light on entrepreneurial debt finance than either the sorting-by-observed-risk or the sorting-by-private information paradigms on their own.     

Nesting Horizontal and Vertical Differentiation with Location Choices

This study solves a location‐then‐price game in which horizontal and vertical differentiation are combined using an asymmetric distribution of consumers’ taste. Boundary locations are robust when the taste disparity of the population is not large and out‐of‐market locations are not allowed. Firms may have incentives to move either inside or outside the market in other situations, so the equilibrium prices are never differentiated. The restrictions of vertical differentiation under this framework are further examined. A model with the entrance of a vertically differentiated product is also discussed.     

Japanese/U.S. technological competitiveness and strategic alliances in the biotechnology industry

This paper analyzes the reasons for Japanese/U.S. collaborations in the biotechnology industry, and considers the question of whether such alliances pose a threat to the North American industry. Japan's technological competitiveness in biotechnology is examined in terms of its strengths and perceived weaknesses. Ways in which Japan is attempting to overcome these weaknesses are identified. As well, the strengths and weaknesses of the North American biotechnology industry are assessed. The paper concludes with recommendations for government and R&D managers on how to preserve U.S. competitiveness. R&D managers must keep abreast of their techno-global competitive environments. While organizations can enter into alliances to improve their competitiveness they must be aware of the dangers of collaboration, and to benefit from their alliances they must enhance their organizational learning. Organizations must be aware of the pitfalls of alliance formation, and any alliance must be viewed in its national context. Last, but not least, managers must be more effective in their management of the processes of technological innovation.     

Semi-quantitative risk assessment method for product management

The workshop presented a semi-quantitative risk assessment technique that can be used to judge the total risk on all undesired consequences/events for a product manufacturing operation. The technique requires an experienced team to judge risk utilizing a numerical rating system that, although arbitrarily chosen, is self consistent and provides a relative assessment of product manufacturing risk. Once calculated, the risk is compared to the product's net income for making risk management and product planning decisions. The workshop included an exercise where all participants could try the technique.     

The Geography of Innovation in China and India

The BRICS countries in general, and China and India in particular, are now widely regarded as the areas of the world likely to challenge the economic leadership of the United States (US) and the European Union (EU). A large part of this challenge will come from rapid technological catch‐up by China and India. Yet, despite a recent rise in interest, there is limited knowledge about how and where innovation takes place in these two leading emerging countries and to what extent the Chinese and Indian territorial systems of innovation differ from those in the EU or the US. In this article we explore the geography of innovation in China and India, concentrating on understanding key territorial‐level innovation trends by country, region and technology field, using the US and the EU as benchmarks. We find significant contrasts between the geography of innovation in China and India and that of the US and the EU. First, the degree of concentration of innovative activities in both countries is extremely high. Levels of agglomeration of innovation in the coastal provinces of China, as well as in Delhi and the South of India, significantly exceed the levels of agglomeration found in the USA and the EU. Secondly, China has witnessed a more rapid increase in the degree of concentration of innovation than India. We posit that the differences in the geography of innovation between, on the one hand, China and India and, on the other hand, between these countries and the developed world are rooted in different institutional settings, different systems of innovation and different national innovation strategies.     

When bad news is sugarcoated: Information distortion,organizational search and the behavioral theory of the firm

Most work in strategy and organization theory assumes that performance feedback is straightforward to interpret and truthfully reported. We raise the following question: How might the systematic distortion of negative performance information affect organizational learning and future performance? We formulate a model where (1) members do not always report the truth about what they know about their performance level, especially when performance is below aspiration and (2) their propensity to distort information is subject to social influence. We find that organizations that are characterized by a high level of information distortion tend to perform more poorly but that the effect of a low rate of sugarcoating may, in some conditions, be more benign than the literatures seem to suggest. Copyright © 2013 John Wiley & Sons, Ltd.     

LABOR MARKET IMPACTS OF SMOKING REGULATIONS ON THE RESTAURANT INDUSTRY

This paper examines the impact of smoking regulations on restaurant employment in West Virginia, a state with a high rate of smoking prevalence. Using a confidential establishment‐level dataset, our results suggest that smoking bans reduced restaurant employment by between 0.7 and 1.5 workers, depending on model specification. We find that smoking restrictions have heterogeneous impacts across establishments, with the largest impacts on mid‐sized establishments, defined as those with 10–29 employees. Our results also suggest that the impact of smoking restrictions was larger in counties with higher rates of smoking prevalence. (JEL L51, D78, H0)     

How Productive Is Workplace Health and Safety?

In this paper, we investigate the causal impact of workplace health and safety practices on firm performance, using Danish longitudinal matched employer–employee data merged with unique cross‐sectional representative firm survey data on work environment conditions. We estimate standard production functions, augmented with workplace environment indicators, addressing both time‐invariant and time‐varying potentially relevant unobservables in the production process. We find positive and large productivity effects of improved physical dimensions of the health and safety environment, specifically, “internal climate” and “monotonous repetitive work”.     

EMPIRICAL PERFORMANCE OF GARCH MODELS WITH HEAVY‐TAILED INNOVATIONS

We introduce a new type of heavy‐tailed distribution, the normal reciprocal inverse Gaussian distribution (NRIG), to the GARCH and Glosten‐Jagannathan‐Runkle (1993) GARCH models, and compare its empirical performance with two other popular types of heavy‐tailed distribution, the Student's t distribution and the normal inverse Gaussian distribution (NIG), using a variety of asset return series. Our results illustrate that there is no overwhelmingly dominant distribution in fitting the data under the GARCH framework, although the NRIG distribution performs slightly better than the other two types of distribution. For market indexes series, it is important to introduce both GJR‐terms and the NRIG distribution to improve the models’ performance, but it is ambiguous for individual stock prices series. Our results also show the GJR‐GARCH NRIG model has practical advantages in quantitative risk management. Finally, the convergence of numerical solutions in maximum‐likelihood estimation of GARCH and GJR‐GARCH models with the three types of heavy‐tailed distribution is investigated.     

DOES SIZE MATTER? THE INFLUENCE OF FIRM SIZE ON WORKING CONDITIONS,JOB SATISFACTION AND QUIT INTENTIONS

Using a detailed survey on Spanish workers, this paper investigates the relationship between firm size and working conditions, the extent to which firm size differences in workers' job satisfaction can be accounted for by differences in their work environment and the impact of firm size on workers' quit intentions. The results indicate that: (1) employees in larger firms face a worse work environment; (2) working in large firms significantly reduces job satisfaction when no controls for working conditions are included, but taking them into account makes differentials across size categories statistically insignificant; and (3) no systematic differences exist in intentions to quit across firm size categories, irrespective of conditioning on wages.