The Asian Pacific region encompasses a set of different countries with different growth rates, socio-economic conditions and network infrastructures. The trade relationships between these countries are determined by the above mentioned heterogeneity. In recent years the container transport market has gained much importance in this region. The future of this transport system is dependent on various background factors: political, technological, network morphology and development potential. The paper aims to identify the driving forces of the maritime shipping network in the Asian Pacific Rim by focusing in particular on container transport. The great many uncertainties involved are depicted by means of scenario analysis, which are put in a cohesive framework on the basis of the so-called Spider approach. By using these scenarios as a frame of reference, a qualitative impact assessment is carried out in order to identify the consequences of each of these scenarios for the maritime container sector. By means of a strengthweakness analysis the various possible futures are scanned.
This paper reports on studies into the controllability of the regional income disparities and redistribution allocation of regional investment arising from the modified Rahman Type Model using the concepts of fuzzy numbers in fuzzy set theory and the optimistic and pessimistic optimal solutions. One theorem and six corollaries and the detailed simulations concentrating on the controllability of minimum proportion of investment and redistribution allocation of regional investment are discussed. The Fuzzy Regional Growth Model represents relatively easy-to-implement system with an fuzzy condition which can be extended to a variety of disparities and redistribution allocation of regional investment among systems of regions.
QUIP is an integrated input-output + economitric model of the Queensland economy. It was designed to replace the conventional input-output model for analysing economic impacts at the state level. Therefore it is pertinent to compare the results from the two types of models as an aid in the understanding and interpretation of the results. In general, the integrated model will produce smaller aggregate impacts than the closed input-output model in a static context (because of the use of marginal rather than average primary factor and household coefficients), but at a disaggregated industry level, it tends to redistribute the flow-ons from the service type industries to manufacturing type industries which have more rigid production structures. In a dynamic context, the input-output model misses the flow-through effects on the economy in later time periods through demographic changes. The integrated model shows that these flow-through effects are substantial and can more than double the size of the short-run multipliers.