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.     

Intertemporal production and intertemporal substitution in output supply and input demand

This article presents an intertemporal model of production with multiple inputs to investigate substitution opportunities facing firms over time. The firm’s intertemporal profit maximization problem is characterized with the familiar cost function, and various intertemporal substitution elasticities are delineated for output supply and input demand. The absence of intertemporal substitution in production can imply production smoothing, and allowance for intertemporal substitution in labour demand reinforces the prediction of the real business cycle model. For aggregate US manufacturing, we find substantial substitution in output supply and labour demand over time due to intertemporal changes in output price and wage rates.     

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”.     

Estimating the import demand function for China

This paper estimates the import demand elasticity for China using three fully efficient cointegrating regressions and the autoregressive distributed lag (ARDL) method. This paper is the first to accommodate the perception of global risk in an investigation of the information transmission mechanism between the relationship import demand and its determinants in China. The empirical results show that real imports are cointegrated with domestic economic activity, real effective exchange rate, and the perception of global risk. Domestic income is found to have a significantly positive effect on imports. Contrary to theory, the real effective exchange rate carries negative coefficients, which suggests that a decrease in external competitiveness (appreciation) will decrease the level of imports in the case of China. One of the reasons for this may be the tied anti-dumping duty on some import items. Since the perception of global risk adversely affects China's aggregated imports, policy-makers should consider the degree to which the perception of global risk affects the implementation of trade policies.     

Bertrand versus Cournot competition in a downstream mixed oligopoly with foreign ownership

Focusing on foreign ownership in the private firm, we examine the Cournot-Bertrand comparison in a mixed oligopolistic market with vertical market structure. We have found that if public and private firms were charged with uniform price for their inputs, then Cournot-Bertrand ranking in market outcomes confirms those obtained by Ghosh and Mitra (2010). This implies that under uniform pricing in the upstream sector, the vertical market structure does not have substantial influences on Cournot-Bertrand ranking. However, if discriminatory pricing is adopted, firm's profits, output, and social welfare are often reversed to those obtained from uniform pricing in the upstream sector. Given the closeness of products, if the share of foreign ownership is sufficiently low, social welfare in Cournot competition can exceed that of Bertrand competition, contrasting with the standard welfare ranking that Bertrand welfare is strictly higher than Cournot. This implies that Cournot competition can be more socially desirable than Bertrand in mixed oligopoly with vertical market structure if discriminatory pricing scheme is adopted by foreign upstream monopolists.     

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.