Introduction to Input-Output Framework for Analysis of Tourism as an Industry
Input-Output (I-O) is an economic framework which was awarded two Nobel Prizes in Economics, one in 1973 to Dr. Wassily Leontief and the other for its extended Social Accounting Matrix (SAM) to Sir Richard Stone in 1984. The I-O/SAM framework remains as a core component for Computable General Equilibrium (CGE), which cannot function without the data of I-O/SAM. Applications of I-O family have been published not only in the broader social science fields including but not limited to economics, regional science, international development, but also in the tourism field. I-O framework is the foundation of System of National Accounts (SNA), which has been used by all the national governments in the world to measure important data such as gross domestic product (GDP), capital formation etc. Need for studying I-O has been increased significantly for tourism researchers because of a simple fact that a global common recording system to measure economic activities of tourism, officially endorsed by United Nations, World Bank, International Monetary Fund, Organization for Economic Cooperation and Development, to name a few, is based on I-O.
The Impact of Steel upon the Greater New York-Philadelphia Industrial Region
For a long time the inadequacy of the traditional Weberian agglomeration analysis1 has been fully recognized. Palander, in particular, has pointed up its shortcomings.2 More recently, a fresh and more general approach has been made by P. Sargant Florence and others.3 This approach, primarily an attempt to identify from processed census data meaningful geographical associations in industry, of necessity does not concern itself with the development of a theoretical framework.4
Did the metamorphosis from Export Processing Zones to Special Economic Zones improve the efficiency of trade enclaves in India?
In this paper, the efficiency of seven conventional Special Economic Zones in India is analyzed, by adopting a stochastic production frontier technique, for the period between 1986–1987 and 2007–2008.Results indicate that although the efficiency scores of these enclaves have improved over the years, specifically with the introduction of the SEZ policy (2000–2001), it is far below the threshold level as identified in the literature. Besides, one can also observe a discrepancy emerging between better export earning zones and efficient zones. On the determinants side, policy intervention and large geographical area, accompanied by clustering of units, are found to have impacted the efficiency scores of these enclaves positively.