Regional disparities and development in India: evidence from Wroclow Taxonomy and K-means clustering

Majumder, Suranjan; Kayal, Prosenjit; Chowdhury, Indrajit Roy; Das, Shibu

doi:10.1007/s10708-022-10805-2

Cited by 5 publications

(1 citation statement)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The population in low-income countries like India is heterogeneous and the population groups show various forms of disparities [34]. The rural-urban disparity has been widely studied [4], but while studying a rural or urban group, they are considered homogenous for analysis.…”

Section: Methodsmentioning

confidence: 99%

Understanding Household Cooking Fuel Choice of the User Segments in Urban India

Tiwari,

Jana,

Bandyopadhyay

2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The residential sector of India is the second biggest energy consumer globally, amounting to 29% of the net national consumption. In the residential sector, cooking accounts for the highest share of energy consumption. In India, approximately 30% of the urban population used polluting fuels as primary cooking fuels as per the latest consumer survey. Given the projection of the urban population growth in India, it is imperative to understand the variables affecting cooking fuel choices. The current literature, however, assumes the population under the study area to be homogeneous, but in countries like India, the heterogeneity is relatively high. In this study, the urban population was segmented using K-Means Clustering and Multinomial Logistic Regression Analysis was applied to each segment to study the variables influencing their cooking fuel choice. The data from the Household Consumer Expenditure Survey conducted by the National Sample Survey Office (NSSO) of India was used for the study. The analysis shows that the same variables influence the fuel choices of different socio-economic household segments differently. This research contributes to the existing literature by analysing fuel choice through socio-economic segmentation, thus allowing future trend prediction from a cross-sectional study.

show abstract

Section: Methodsmentioning

confidence: 99%

Understanding Household Cooking Fuel Choice of the User Segments in Urban India

Tiwari,

Jana,

Bandyopadhyay

2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

Inequity in unmet health care needs of women and children in India: A barrier to sustainable development goals in health

Kumar,

Chowdhury

2024

Sustainable Development

View full text Add to dashboard Cite

Despite progress in maternal and child health, significant gap and high inequity persist in unmet health needs, creating a barrier to universal health coverage. Previous studies have analysed inequity of health outcomes and healthcare availability, but limited research is available on delayed or not‐seeking treatment. Research conducted on unmet treatment lacks emphasis on vulnerable groups; women and children. The objective is to fill this research gap by estimating the contribution of socio‐economic factors to inequality in the unmet health needs of women and children. This study uses the concentration index, concentration curve and horizontal inequity index to estimate inequality. A decomposition analysis is conducted to estimate the contribution of each socio‐economic factor to inequality. The need‐adjusted index shows the inequity due to non‐need factors. The unmet health needs are significantly higher among socioeconomically disadvantaged groups. In addition to wealth, factors such as caste (4.43% and 7.23%), education (7.27% and 13.05%), media exposure (3.88% and 6.39%) and distance problem (5.35% and 14.61%) contribute to the inequity for both women and children. A negative horizontal inequity index confirms that non‐need factors are major contributors to inequity. Findings add new theoretical insights on healthcare accessibility and inform policymakers on factors creating disadvantages in treatment‐seeking. Action plans for universal health coverage need to incorporate social and institutional factors in policy and budgetary allocations. Further, health‐card system, health‐record‐keeping practices and community‐health officer/clinic can improve treatment seeking.

show abstract