Determinants and impacts of inward FDI in Japan

The research consists of three empirical studies. The first examines how source country characteristics affect the aggregate FDI inflows in the Japanese economy during the period of 1989-2002. Our results demonstrate that the stable investment climate of the home country is an essential factor indicating FDI inflows to Japan. By contrast, the export performance of the source country is negatively correlated with FDI inflows, indicating that international trade and FDI are substitutes. The second study identifies the determinants of foreign penetration across Japanese manufacturing sectors at the three-digit level during the period of 1997-2003. More importantly, this study examines the moderating effects of keiretsu affiliations on the relationship between various sectoral characteristics and foreign participation. The evidence of both horizontal and vertical keiretsu impacts on foreign penetration depends on not only different proxy measures used for inward FDI, but also on the level of technological sophistication in given sectors. In general, our results demonstrate that horizontally linked keiretsu are positively associated with foreign productions in knowledge-intensive sectors. By contrast, this effect becomes a significant entry barrier to foreign employment in low-tech sectors. The final study evaluates the impacts of a foreign presence on the productivity of Japanese manufacturing firms over the period of 1997-2003. Our results suggest that spillover effects largely differ according to the level of absorptive capacity of indigenous firms.

The Application of Geographic Information Systems to climate change & land evaluation : a study of the effects of climate change upon crop productivity in a sub-tropical environment

This research investigates the contribution that Geographic Information Systems (GIS) can make to the land suitability process used to determine the effects of a climate change scenario. The research is intended to redress the severe under representation of Developing countries within the literature examining the impacts of climatic change upon crop productivity. The methodology adopts some of the Intergovernmental Panel on Climate Change (IPCC) estimates for regional climate variations, based upon General Circulation Model predictions (GCMs) and applies them to a baseline climate for Bangladesh. Utilising the United Nations Food & Agricultural Organisation's Agro-ecological Zones land suitability methodology and crop yield model, the effects of the scenario upon agricultural productivity on 14 crops are determined. A Geographic Information System (IDRISI) is adopted in order to facilitate the methodology, in conjunction with a specially designed spreadsheet, used to determine the yield and suitability rating for each crop. A simple optimisation routine using the GIS is incorporated to provide an indication of the 'maximum theoretical' yield available to the country, should the most calorifically significant crops be cultivated on each land unit both before and after the climate change scenario. This routine will provide an estimate of the theoretical population supporting capacity of the country, both now and in the future, to assist with planning strategies and research. The research evaluates the utility of this alternative GIS based methodology for the land evaluation process and determines the relative changes in crop yields that may result from changes in temperature, photosynthesis and flooding hazard frequency. In summary, the combination of a GIS and a spreadsheet was successful, the yield prediction model indicates that the application of the climate change scenario will have a deleterious effect upon the yields of the study crops. Any yield reductions will have severe implications for agricultural practices. The optimisation routine suggests that the 'theoretical maximum' population supporting capacity is well in excess of current and future population figures. If this agricultural potential could be realised however, it may provide some amelioration from the effects of climate change.