2018
DOI: 10.1007/978-981-10-6262-9_11
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Economic Impacts of MGNREGA in Dryland Region of India: A Meso and Micro Study in Selected States

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Cited by 4 publications
(3 citation statements)
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“…Many studies (Drèze, 2008; Dutta et al, 2014; Khera & Nandini, 2009; Papola, 2005; Ranaware et al, 2015; Reddy et al, 2010, Nagaraj et al, 2018) on MGNREGA have concluded that the program has (i) reduced distress migration among rural poor, (ii) smoothened rural consumption in the lean season (iii) set high standards in transparency, (iv) addressed under-employment problem (v) created assets that improved livelihoods, (vi) gave a boost to the financial inclusion, (vii) strengthened local governance, (viii) improved the wage levels in rural areas and thereby increased the income levels of the poorest of the poor, (xi) set standards for decent working conditions, and (x) helped bring fallow lands into cultivation.…”
Section: Introductionmentioning
confidence: 99%
“…Many studies (Drèze, 2008; Dutta et al, 2014; Khera & Nandini, 2009; Papola, 2005; Ranaware et al, 2015; Reddy et al, 2010, Nagaraj et al, 2018) on MGNREGA have concluded that the program has (i) reduced distress migration among rural poor, (ii) smoothened rural consumption in the lean season (iii) set high standards in transparency, (iv) addressed under-employment problem (v) created assets that improved livelihoods, (vi) gave a boost to the financial inclusion, (vii) strengthened local governance, (viii) improved the wage levels in rural areas and thereby increased the income levels of the poorest of the poor, (xi) set standards for decent working conditions, and (x) helped bring fallow lands into cultivation.…”
Section: Introductionmentioning
confidence: 99%
“…According to information obtained from the Central Silk Board in North Lakhimpur and the Department of Sericulture in Lakhimpur, there are 14,441 Mulberry rearers, 9030 Eri rearers, and 7571 Muga rearers in around 716 villages. The primary data was gathered using the personal structured interview schedule that Nagaraja (1989) [3] standardised from the sampled respondents. As previously mentioned, four communities were chosen at random, with 25 beneficiaries in each community, in order to gather data.…”
Section: Methodsmentioning
confidence: 99%
“…There are also instances of discouraged worker effect among MGNREGA worker's poor implementation, delayed wage payments (Narayanan, Das, Liu, & Barrett, 2017). Similarly, problems of delayed wages, quality of work, and poor impact associated with MGNREGA were identified (Nagaraj, Murthy, Chandrakanth, Bhattarai, & Roy, 2018). The innovative policy framework of MGRNEGA may address the issues of implementation of MGNREGA (Ehmke, 2016).…”
Section: Employment Under Mgnregamentioning
confidence: 99%