The Japanese match industry is an early case of an industry that changed global market dynamics by building international competitiveness through combining low-cost and low-price strategies with product differentiation. This differentiation was achieved through the registration of trademarks for all matches exported, total quality control, and strong investments in graphic design to adapt brands and their imagery to different host markets and cultures. This study shows how trademark data provides alternative and complementary angles on particular economic phenomena—in this case, on how industries and countries build global competitiveness despite being technologically less developed.

By means of an endogenous growth model of directed technical change with vertical and horizontal R&D, we study a transitional-dynamics mechanism that is consistent with the changes in the shares of the high- versus the low-tech sectors found in recent European data. Under the hypothesis of a positive shock in the proportion of high-skilled labor, the technological-knowledge bias channel leads to unbalanced sectoral growth with a noticeable shift of resources across sectors. A calibration exercise suggests that the model is able to account for up to from 50 to about 100 percent of the increase in the share of the high-tech sector observed in the data from 1995 to 2007. However, the model predicts that the dynamics of the share of the high-tech sector has no significant impact on the dynamics of the economic growth rate.

We model an industry that supplies intermediate goods in a growing economy. Agents can choose whether to provide labor or to become firm owners and compete in the industry. The idea that entry is determined through occupational choice has major implications for the economy's dynamics. Particularly, the results show that economic dynamics are governed by endogenous volatility in the determination of both the number of industry entrants and in the growth rate of output. Consequently, we argue that occupational choice and the structural characteristics of the endogenous market structure can act as both the impulse source and the propagation mechanism of economic fluctuations.

This paper intends to relate more closely corporate governance, industry dynamics and firms performance. In this perspective, it focuses on the impact of applying the normative, best practice, shareholder value model of corporate governance on industry dynamics and related performance measured by economic as well as financial indicators. At a theoretical level, the paper presents an integrated framework based on the connection between firms governance and industry dynamics issues. But the core of the paper is to advance that the combination of corporate governance and industry dynamics also requires important investigations into empirical aspects. At a case study level, our major finding is that the adoption of the best practice model of corporate governance in the telecoms equipment supplier industry contributed to create large ups and downs in the industry dynamics affecting both economic and financial performances. At a more general level, combining two different datasets Corporate governance Quotient (CGQ) and DATASTREAM, we show the variegated impact of the normative model on industry dynamics and confirm the observed phenomenon of ups and downs amplifications formerly emphasized, at least at the level of stock market performance.