Transport Sector and Regional Price Differentials: A SCGE Model for Chinese Provinces

With regression formulas replaced by equilibrium conditions, a spatial CGE model can substantially reduce data requirements. Detailed regional analyses are thus possible in countries where only limited regional statistics are available. While regional price differentials play important roles in multi-regional settings, transport does not receive much attention in existing models. This paper formulates a spatial CGE model that explicitly considers the transport sector and FOB/CIF prices. After describing the model, performance of our model is evaluated by comparing the benchmark equilibrium for China with survey-based regional I-O and interregional I-O tables for 1987. The structure of Chinese economies is summarized using information obtained from the benchmark equilibrium computation. This includes regional and sectoral production distributions and price differentials. The equilibrium for 1997 facilitates discussion of changes in regional economic structures that China has experienced in the decade.

Measuring the usage of preferential tariffs in the world

The preference utilization ratio, i.e., the share of imports under preferential tariff schemes out of total imports, has been a popular indicator for measuring the usage of preferential tariffs vis-à-vis tariffs on a most-favored-nation basis. A crucial shortcoming of this measure is the data requirements, particularly for import value data classified by tariff schemes, which are not available in most countries. This study proposes an alternative measure for preferential tariff utilization, termed the "tariff exemption ratio." This measure offers the unique advantage of needing only publicly available data, such as those provided by the World Development Indicators, for its computations. We can thus calculate this measure for most countries for an international comparison. Our finding is that tariff exemption ratios differ widely across countries, with a global average of approximately 50%.