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Original Articles

Multi-criteria approach to geographically visualize the quality of life in India

, , &
Pages 469-481 | Received 07 Oct 2015, Accepted 02 Jan 2016, Published online: 19 Feb 2016
 

ABSTRACT

Quality of Life (QoL) is the description and evaluation of coincidences among social, economic and ecological conditions in a particular community, locality, region or a country. By categorising regions according to their QoL, one can examine and assess not only the possible impacts of development programmes, but also the pressure from environmental degradation processes. This study maps QoL at the sub-national level (districts) in India, conceptualized under three pillars of sustainable development. The assessment uses 10 sub-indices constructed using 54 indicators (49 from Census of India database and 5 remote sensing inputs). Recognising that not every indicator is of equal importance, analytical hierarchy process (AHP) was used to assign weights to the indicators and sub-indices. Furthermore, geostatistical Moran’s I clustering was done to assign priority to QoL classes. Distribution of high QoL shows correspondence with the network of national highways throughout the country. Significant dependence of QoL was observed with urban population (r2 ~ 0.75–0.95), rural population (r2 ~ 0.75–0.98) and Human Development Index (HDI) (r2 > 0.7) for different states. The geostatistical analysis identifies clusters of districts which can significantly improve the living conditions with priority actions, and where interventions and long-term planning would be required. The results of this study can serve as the basis for targeting prioritization efforts, and policy interventions at district level for improving QoL and, perhaps, achieving Sustainable Development Goals (SDGs) as well.

Acknowledgments

RS and PKJ acknowledge the support of the Ministry of Environment & Forests (MoEF), Government of India (GoI) (Project Serial Number: R&D/NNRMS/2/2013-14). AC acknowledges HSBC Climate Scholarship of TERI University for funding her doctoral research. The authors are thankful to anonymous reviewers, the advisor and the editor of the journal for providing constructive comments and recommendations on earlier versions of the manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

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