The effects of agglomeration on wages: evidence from the micro-level

This paper estimates individual wage equations in order to test two rival non-nested theories of economic agglomeration, namely New Economic Geography (NEG), as represented by the NEG wage equation and urban economic (UE) theory , in which wages relate to employment density. The paper makes an original contribution by evidently being the first empirical paper to examine the issue of agglomeration processes associated with contemporary theory working with micro-level data, highlighting the role of gender and other individual-level characteristics. For male respondents, there is no significant evidence that wage levels are an outcome of the mechanisms suggested by NEG or UE theory, but this is not the case for female respondents. We speculate on the reasons for the gender difference.

Saving and Re-building Lives: an Analysis of the Determinants of Disaster Relief

We analyse both theoretically and empirically, the factors that influence the amount of humanitarian aid which countries receive when they are struck by natural disasters. Our investigation particularly distinguishes between immediate disaster relief which helps the survival of victims and long term humanitarian aid given towards reconstruction and rehabilitation. The theoretical model is able to make predictions as well as explain some of the peculiarities in the empirical results. The empirical analysis, making use of some useful data sources, show that both short and long term humanitarian aid increase with number of people killed, financial loss and level of corruption, while GDP per capita has no effect. Number of people affected had no effect on short term aid, but significantly increased long term aid. Both types of aid increased if the natural disaster was an earthquake, tsunami or drought. In addition, short term aid increases in response to a flood while long term aid increases in response to storms.

An Empirical Examination of the R&D Boundaries of the Firm - A Problem-Solving Perspective

We consider, both theoretically and empirically, how different organization modes are aligned to govern the efficient solving of technological problems. The data set is a sample from the Chinese consumer electronics industry. Following mainly the problem solving perspective (PSP) within the knowledge based view (KBV), we develop and test several PSP and KBV hypotheses, in conjunction with competing transaction cost economics (TCE) alternatives, in an examination of the determinants of the R&D organization mode. The results show that a firm’s existing knowledge base is the single most important explanatory variable. Problem complexity and decomposability are also found to be important, consistent with the theoretical predictions of the PSP, but it is suggested that these two dimensions need to be treated as separate variables. TCE hypotheses also receive some support, but the estimation results seem more supportive of the PSP and the KBV than the TCE.