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According to official statistics, the number of rural households which were provided employment under MGNREGA progressively increased over time from 21.

The supply of institutional credit plays an important role in promoting agricultural growth and also saving the farmers from the clutches of private moneylenders who charge exorbitantly high rates of interest and force them to live in perpetual debt trap. There has been a phenomenal increase in the flow of institutional credit to agriculture in the recent years but this has been quite uneven between regions. As of 2018–2019, the Southern Region had the highest share (43.0 %) in the institutional credit followed by Northern Region (21.0 %), Central Region (13.6 %), Western Region (12.0 %), Eastern Region (9.0 %) and North Eastern Region (0.9 %) respectively. Despite so much talk about the need for green revolution in Eastern India, the institutional credit to agriculture in almost all the Eastern and North Eastern states has been very poor. Based on various standard criteria such as credit–deposit ratio, credit absorption capacity, level of agricultural diversification and untapped potentials for higher agricultural growth and poverty reduction, farmers in the eastern states deserve a better deal in terms of access to institutional credit. Besides, the article explodes the myth of low credit absorption of farmers in Eastern India.

Poverty alleviation, socio-economic wellbeing, and sustainable livelihood of the stakeholders are among the prime initiatives of the 2030 shared prosperity vision of the Malaysian government. The agenda is part of the blueprint in the 2030 vision for the period of 2021 to 2030 to increase the income of all ethnic groups particularly the Bumiputeras comprising the lower-income group which is referred to as B40, the hard-core poor, the economically poor, those in economic transition, Orang Asli, Sabah, Sarawak Bumiputeras, the disabled, youths, women, children and senior citizens by 2030. Therefore, the present study investigates the current status and the influencing factors of multidimensional deprivation comprising health safety, education, and living standard among the lower-income group in Malaysia's wealthiest state, Selangor. The study adopts a quantitative approach in analysing the primary data from 404 samples of the B40 groups of the population that reside in Selangor nine districts. A purposive stratified random sampling method is used to select the respondents. Descriptive statistics, econometric techniques, Malaysian Human Poverty Index (MPHI) are utilised in the analysis. Based on Multidimensional Poverty Index (MPI) result, the study revealed that the overall incidence of deprivation to the access of basic education among the households was

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