Suchergebnisse

This paper aims to develop a composite Inclusive Growth Index (IGI) for 36 districts of Punjab, incorporating six overarching dimensions including (i) economic, (ii) amenities, (iii) gender equity and financial inclusion, (iv) human development (v) governance and (vi) sustainability. Following the OECD's Handbook of Composite Indices, the study uses a minmax approach for the normalisation of indicators followed by the weighted aggregation using Principal Component Analysis (PCA) for assigning weights to indicators in each dimension in the composite index. The study ranks the districts as out-performing, average-performing, and lagging districts in terms of social inclusion. According to the ranking, the central and northern districts of Punjab such as Lahore, Gujrat, and Rawalpindi, etc. are scoring high on IGI, while districts falling in South Punjab such as Rajanpur, Dera Ghazi Khan, and Muzaffargarh, etc. are lagging. The result of the study highlights the areas and dimensions of social inclusion where the districts are lacking and, consequently, the policymakers and planners need to focus on these.

The 'Europe 2020 Strategy' was issued in 2010 by the European Commission. This document constitutes a growth scheme for the decade 2010-2020 that aims to help the European Union to emerge from the current crisis through the so-called smart, sustainable and inclusive dimensions of growth. In this context, the basic aim of the SIESTA ("Spatial Indicators for a 'Europe 2020 Strategy' Territorial Analysis") Project has been to illustrate the territorial dimension of the 'Europe 2020 Strategy'. In other words, to show how this document acts territorially, particularly at the regional scale, but, when possible, also at the urban level. The SIESTA Project has been funded by ESPON ("European Observation Network for Territorial Development and Cohesion"), a European Commission Programme whose mission is to support policy development in relation to the aim of territorial cohesion and a harmonious development of the European territory. This book includes most of the main findings and conclusions obtained through research of the SIESTA Project. The contents were presented and discussed as keynote addresses or communications at the SIESTA Final Conference held in Santiago de Compostela, Galicia, on 4-5 April 2013.

AbstractUrban spatial inequality is multidimensional and complex. The extant literature identifies three main theoretically‐informed dimensions of spatial inequality—accessibility, environmental conditions, and socio‐economic conditions. We combine geospatial data on measures across these three theoretical dimensions to derive a composite index for the city of Tehran, Iran. We draw on these three dimensions respectively from the relative geographic locations of urban facilities and services, satellite images, and census and survey data. The application contributes to the evidence‐base on urban spatial inequality and may inform urban policy decisions aimed at reducing spatial inequality.