چکیده:
Resources’ scarcity, especially in developing countries, has caused allocation essentially among competing activities to create value. The importance of resource allocation would be more understood if we pay attention to growing complexity in societies and economic development problems they face. In the context of the national economic development literature, the notion of "Key or Critical Sectors" has become an accepted component of development strategy. By and large, key sector analysis is an attempt to determine the economic effect of a sector in a given economy.From macroeconomic point of view, Agriculture and NonAgricultural Manufacturing (NA-Manufacturing) as two parts of production sector, compete for absorbing limited resources. This paper with using 31 indices; factor analysis; numerical taxonomic analysis; and three level of assessment aims to answer the question of which one of these two is the key sector, and be a completion to previous studies which their common deficiency is the lack of indices. Results of this study for Iran economy show that Agriculture sector is preferred to NA-Manufacturing sector.
خلاصه ماشینی:
"Choosing Development Path According to Priority Power: Determination of key sector for Iran economy Mohammad Hossein PourKazemi∗ Soureh Eftekharzadeh∗∗ Abstract: Resources’ scarcity, especially in developing countries, has caused allocation essentially among competing activities to create value.
This paper with using 31 indices; factor analysis; numerical taxonomic analysis; and three level of assessment aims to answer the question of which one of these two is the key sector, and be a completion to previous studies which their common deficiency is the lack of indices.
4. Materials and Methods Indices, which are the main data for our analyses, are derived from updated input-output table of 2005 (latest version), Iran National Accounts and a four-year range of exports and imports data (2005-2008) of International Trade Center (ITC).
The complete list of indices used in this paper is as follows: 1- Backward Linkage Index: it’s the ratio of intermediate inputs to total product, for each section.
After calculating indices, both those of input-output table and those of international trade data, factor analysis is done to remove any unnecessary index and make a more summarized set of data and afterwards the numerical taxonomic analysis would be done to rank 11 joint-subsectors.
Table 2- Results of the first level: Comparing Two Main Sectors Main Sectors Agriculture NA-Manufacturing Sum of input-output indices scores 43.
Bender, Siegfried , Kui-Wai Li, (2002), The Changing Trade and Revealed Comparative Advantages of Asian And Latin American Manufacture Exports, Internet Address: www."