Holistic correlation of world’s largest social safety net and its outcomes with Sustainable Development Goals
Holistic correlation of world’s largest social safety net and its outcomes with Sustainable Development Goals
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世界上最大的社会安全网及其成果与可持续发展目标的整体关联
DOI:
10.1080/13504509.2018.1519492
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发表时间:
2018
影响因子:
5.6
通讯作者:
P. V.V. Prasada Rao
中科院分区:
文献类型:
--
作者:
D. Giribabu;C. Mohapatra;C. Reddy;P. V.V. Prasada Rao
ABSTRACT The five largest social safety net (SSN) programmes in the world are being implemented in India, China and Brazil. Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) is one of these programmes and regarded as the world’s largest SSN. MGNREGA aims at enhancing livelihood security of households in rural India by providing guaranteed wage employment. The scheme has resulted in the creation of sustainable assets that promote the economic and infrastructure development. More than 33 million assets were built in the process of MGNREGA. These assets were spread out in 262,380 smallest units of administration covering 6887 sub-districts with the participation of more than 250 million human manpower. The Sustainable Development Goals (SDG) aims to end poverty, protect the planet and ensure that all people enjoy peace and prosperity. The 17 goals tackle the root cause of poverty and attempts to make a positive change for both people and planet. Ecological regeneration or rejuvenation during the development of the assets generated numerous tangible and intangible benefits to the community in a sustainable way. MGNREGA, a federal government-sponsored scheme, using a decentralized approach is directly or indirectly helping to achieve all the 17 goals of sustainable development in India. This article takes a holistic approach to correlate and map the concepts and outcomes of MGNREGA programme with SDG. This article emphasises the fact that community-based participation in the planning and development activities at the regional levels will yield benefits to the biosphere, society and economy at the national level.
影响因子:
2.5
作者:
Carswell, Grace;De Neve, Geert
通讯作者:
De Neve, Geert