خلاصة:
The creation of small manufacturing enterprises is considered by many governments and donor agencies, as the key to economic and social development in countries regardless of development level. Furthermore, review of the literature show evidence that SMEs are understood as a source of technology development. At the same time they are vulnerable to a number of restrictions such as access to finances, skilled labor, public support and suffer from survival rate problems. First, this research aims to shed lights on the role that small manufacturing enterprises play in the process of industrial and economic development across provinces of Iran. Second, the status of industrial infrastructure is investigated. The data is used to estimate parametrically and non-parametrically a number of composite infrastructure indices to investigate the capacity, resource, education, credit and capital assets components. Finally based on the findings, lessons and conclusion, guidelines for policy formulation will be suggested. For our study, use of sub-indices and a new composite of Development Infrastructure Index (DII) can help provinces to evaluate their status of industrial infrastructure.
JEL Classification Numbers: H54, L5, L16
ملخص الجهاز:
Measurement and Comparison of Industrial Infrastructure of SMEs among Iranian Provinces Mohammad Rahimpour1, Almas Heshmati2, Seyed HamidReza Pasandideh3 Received: 08/11/2016 Accepted: 05/04/2017 Abstract The creation of small manufacturing enterprises is considered by many governments and donor agencies, as the key to economic and social development in countries regardless of development level.
The data is used to estimate parametrically and non-parametrically a number of composite infrastructure indices to investigate the capacity, resource, education, credit and capital assets components.
For our study, use of sub-indices and a new composite of Development Infrastructure Index (DII) can help provinces to evaluate their status of industrial infrastructure .
JEL Classification Numbers: H54, L5, L16 Keywords: Small manufacturing enterprises, Development infrastructure Index, Iranian Provinces, Principal Components Analysis.
For our study, use of sub-indices and a composite of Development Infrastructure Index (DII) could help provinces to evaluate their status of industrial infrastructure.
The PCA compute the same aggregate index parametrically, However, PCA does not allow decomposition of the overall index into its underlying components, unless they are estimated individually, but an aggregation is not possible without assuming some weights: Development Infrastructure Index (DII) = ∑6 =1 Where Indiceic is the rank of the province c via a sub-index i.
Such as mentioned in previous section, when PCA is used, high correlations among variables within a component of the index is considered a valid measure because unlike traditional regression analysis, the method is not subject to multicollinearity or autocorrelation problems.