Growth of the Firm and Economic Backwardness: A Case Study and Analysis of China's Mobile Handset Industry

Economic backwardness often influences the growth of firms in developing countries. In this paper, we investigate the growth conditions and paths available for latecomers competing with first movers. Employing the concepts of boundaries of the firm and the disadvantage of backwardness, we present a case study of China's mobile handset industry and proceed to develop a simple model. We find that although significant disadvantage does not allow latecomers to grow, there are possibilities for changing the conditions of growth if latecomers can utilize outside resources and/or indigenous advantages.

Intra-regional trade between China, Japan, and Korea : before and after the financial crisis

East Asian economies have been heavily dependent on the U.S. and EU markets, especially for the export of final goods. Therefore, once the financial crisis hit Western economies hard, the East Asian economies lost their major markets.Their production networks then worked to the region's disadvantage and stifled industrial development.This reflects the vulnerability of the East Asian economies which have adopted an export-led growth strategy. Such vulnerability needs to be addressed to prevent future economic crises, as well as to sustain economic growth. This paper examines the trade structure of the three countries-China, Japan, and Korea-before and after the Lehman Shock, and discusses how the three countries should cooperate in addressing imbalances in the trade structure.

Assessing agglomeration economies in the Yangzi River Delta, China : a bayesian spatial econometric approach

This paper estimates the elasticity of labor productivity with respect to employment density, a widely used measure of the agglomeration effect, in the Yangtze River Delta, China. A spatial Durbin model is presented that makes explicit the influences of spatial dependence and endogeneity bias in a very simple way. Results of Bayesian estimation using the data of the year 2009 indicate that the productivity is influenced by factors correlated with density rather than density itself and that spatial spillovers of these factors of agglomeration play a significant role. They are consistent with the findings of Ke (2010) and Artis, et al. (2011) that suggest the importance of taking into account spatial dependence and hitherto omitted variables.