PurposeThe purpose of the present study is to examine the inter-relationship between the multi-dimensional poverty and water poverty using household level data for Indian states.Design/methodology/approachA modified water poverty index (MWPI) for both rural and urban households was created using the five components approach and various quantifiable proxies. Principal component analysis (PCA) has been used for the construction of MWPI. Multidimensionality of poverty (MPI) is measured using the Alkire and Foster methodology. Further, the study has utilized correlation and Tobit regression analysis to show the relationship between MWPI and MPI.FindingsThe empirical findings suggest that there is a positive and significant relationship between multidimensional poverty and water poverty, with the extent of relationship being greater in rural areas. The results show that in rural areas all the components of water poverty has significant impact on multidimensional poverty, whereas in urban areas except use component all others have significant impact on multidimensional poverty. Further, components of multidimensional poverty were also found to be significantly impacting water poverty.Practical implicationsThe study suggests that policymakers cannot treat both forms of poverty in isolation. If India aims to reduce poverty, then it needs to pay significant attention to improving water conditions.Originality/valueThis is a pioneering attempt to construct water poverty index at the household level while accounting for micro-level differences for Indian economy. It highlights that water poverty leads to multi-dimensional poverty and vice-versa.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2021-0731.
PurposeThe purpose of this paper is to provide a picture of the water situation of the states of India and to identify key areas in which intervention is necessary for sustainable development and poverty elevation.Design/methodology/approachTo understand the trend and situation of water across the states, Water Poverty Index (WPI) has been constructed. WPI has been computed for the years 2012 and 2018 to get a picture of temporal change happening in the region. Further, descriptive statistics were used to show the required changes.FindingsJharkhand and Rajasthan continue to be the worst performer in both time periods. Water poverty was the least in the states of Goa and Chandigarh for both time periods. Although owing to improvement in access and capacity component, the water status of India as a whole improved from 2012 to 2018 but few states have witnessed a decline in their water situation mainly due to deterioration in the environment and resource components.Originality/valueThis paper adds to the relatively scarce literature on the water situation conducted for the states of India. The findings of the paper provide insights into the lacking areas responsible for the deterioration in water poverty status. The results can be utilized for framing proper policies to combat the water woes of the country.
Climate change is a globally challenging phenomenon that is particularly distressing for the agricultural sector, as agricultural products and productivity depend on the climate. This study analyses agricultural households? perception of climate change and the adaption strategies undertaken to mitigate it. A purposive random sampling technique is used to collect primary data from a survey conducted in the arid and semi-arid regions of Rajasthan, India. The study employs logistic regression to identify the determinants of the perception of climate change and adaptation strategies, while a livelihood vulnerability index is constructed to indicate households? degree of vulnerability, focusing especially on adaptive capacity. Out of the total sample of 600 households analysed, 534 perceive a long-term change in the climate. Farmers? adaptation strategies include crop diversification, mixed cropping, crop rotation, and farm ponds. The major factors affecting adaptation are the educational status of the household head, farming experience, type of financial support, agricultural training, land size, access to agricultural institutions, distance between the household and farmland, and storage. The livelihood vulnerability index shows that most of the households are moderately vulnerable. The study recommends an efficient weather forecasting system and effective government policies to improve credit availability, financial support, and agricultural mechanization.
Using the 76th round of the National Sample Survey (NSS) Drinking Water, Sanitation, Hygiene, and Housing Condition survey, this article demonstrates that there is significant interstate disparity in access to individual and combined WASH facilities. According to the findings, the odds of a household having access to WASH facilities increase if it is headed by a female and the household head has a higher level of education.
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