BACKGROUND Human Development Index (HDI) is a composite indicator that can show the impact of economic strategies on human life standards. The index is calculated by three main factors of income, education and health. This research studies the status of HDI across the Iranian provinces, its changes over time and the efficiency of provinces in using resources. METHODS The data for 2001 and 200...

A biogeographic regionalisation of the Andean region is proposed as a hierarchical classification of sub-regions, provinces, sub-provinces and districts. It is based on biogeographic analyses of terrestrial plant and animal taxa, and seeks to provide universality, objectivity and stability. The Andean region is currently comprised of the Central Chilean, Subantarctic and Patagonian sub-regions ...

BACKGROUND The aim of this study was to determine the trend of changes in Cataract Surgical Rate (CSR) in the provinces of Iran during 2006 to 2010 and identify high risk areas. METHODS This report is part of the national Iranian CSR Study. The percentage change in CSR in 2010 compared to 2006 was conducted in each province, retrospectively. One hundred and ten centers were chosen from all pr...

China’s Twelfth Five-Year Plan (2011–2015) aims to achieve a national carbon intensity reduction of 17% through differentiated targets at the provincial level. Allocating the national target among China’s provinces is complicated by the fact that more than half of China’s national carbon emissions are embodied in interprovincial trade, with the relatively developed eastern provinces relying on ...

This paper developed an estimation model for the contribution of exports to a country's regional economy based on the Chenery-Moses model and conducted an empirical analysis using China's multi-regional input-output tables for 1997, 2002, and 2007. The results indicated that China's national exports make significantly different contributions to the provincial economy in various regions, with th...

The attached study was discussed in the NRC 2006 review, but was criticized because the osteosarcoma rates of Kenyan provinces were not age-­‐adjusted. However, Kenyan provinces had large populations and it is unlikely there were large differences in ag distribution between provinces. Furthermore, the differences in osteosarcoma rates between provinces were as large as 400%. It is unlikely age ...