Aspect-Based Multidimensional Poverty Assessment in Rural Haryana

Abstract

Since India's independence, the estimation of poverty has received a lot of attention. In the early 1960s, a planning commission working group provided a quantification of the minimum food and non-food requirements individuals needed to live a healthy life. This provided the basis for the process of measuring poverty in India. The traditional unidimensional approach to poverty measurement has gradually given way to the multidimensional concept in theoretical developments. One of the points made was that rather than focusing solely on money, the study of poverty should focus on the non-monetary factors that directly affect an individual's welfare. In this study, the availability of drinking water, sanitation, and housing facilities were used to estimate poverty in rural Haryana. Secondary data from the 69th round of the National sample survey office (NSSO) survey on specific indicators of drinking water, sanitation, and housing facilities were used to estimate poverty. The multi-layered destitution file (MPI) utilizing the double removed strategy in view of the counting approach has been applied for assessment of the angle based complex neediness in provincial Haryana. It involves counting the various forms of deprivation that people experience simultaneously. A MPI is created by analyzing these deprivation profiles to determine who is poor. Districts Mewat, Rohtak, Palwal, Jhajjar, and Fatehabad have higher MPI values, indicating a high level of poverty. On the other hand, districts Rewari, Kaithal, Bhiwani, Mahendragarh, Kurukshetra, Faridabad, and Ambala were found to be in better condition. Villagers should be informed about various government benefits and how to apply for them through well-executed awareness campaigns about various government programs.