Chapter 2 On the usage of the measurements of geographical concentration and specialization with areal data

Measures have been developed to understand tendencies in the distribution of economic activity. The merits of these measures are in the convenience of data collection and processing. In this interim report, investigating the property of such measures to determine the geographical spread of economic activities, we summarize the merits and limitations of measures, and make clear that we must apply caution in their usage. As a first trial to access areal data, this project focus on administrative areas, not on point data and input-output data. Firm level data is not within the scope of this article. The rest of this article is organized as follows. In Section 2, we touch on the the limitations and problems associated with the measures and areal data. Specific measures are introduced in Section 3, and applied in Section 4. The conclusion summarizes the findings and discusses future work.

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%.

Competitiveness of the knitwear industry in Bangladesh : a study of industrial development amid global competition

This paper assesses the technical efficiency and profitability of the knitwear industry in Bangladesh taking into account the sector’s role in poverty reduction. While stochastic frontier analysis was invoked to assess technical efficiency, three alternative measures, namely the rate of return, total factor productivity and the Solow residual, were used to gauge the extent and determinants of the profitability of the industry based on firm-level data collected in 2001. The estimation results indicate the high profitability of the knitwear firms. In Bangladesh, the dynamic development of the industry has entailed great diversity in efficiency in comparison with the garment industries of other developing countries. While there is a significant scale effect in profitability and productivity, no supporting evidence was found for the positive impact on competitiveness of industrial upgrading in terms of usage of expensive machinery and vertical integration and industrial agglomeration.

A New Measurement for International Fragmentation of the Production Process: An International Input-Output Approach

The paper investigates the possibility of constructing a new measurement for analysing international fragmentation of the production process. It asserts that the current usage of relevant data, whether the trade shares of parts and components or the index of Vertical Specialisation, is quite unsatisfactory for measuring the phenomenon, since they critically lack the overall perspective of the entire structure of production chains. 　The new measurement is formulated such that it captures every aspect of the vertical sequence of production linkages. It is based on the input-output model of Average Propagation Lengths, recently developed by Eric Dietzenbacher and others, which show the average number of production stages that are passed through for an exogenous change in one industry to affect another. By applying this model to the data of the Asian International Input-Output Tables, the index is able to measure the international dimension of production sharing and division of labour in East Asia.