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Anju Singh

Researcher at National Institute of Industrial Engineering

Publications -  50
Citations -  1107

Anju Singh is an academic researcher from National Institute of Industrial Engineering. The author has contributed to research in topics: Clean Development Mechanism & Environmental impact assessment. The author has an hindex of 14, co-authored 48 publications receiving 699 citations.

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A systematic literature review on the circular economy initiatives in the European Union

TL;DR: In this paper, a systematic literature review of the implementation of circular practices across the European Union (EU) member states based on a framework of circular strategies, nutrient cycles, ReSOLVE framework and circular business models is presented.
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Corporate Social Responsibility Practices in India: A Study of Top 500 Companies

TL;DR: In this article, the authors explore the various definitions and descriptions of Corporate Social Responsibility (CSR); elaborate upon development of CSR in India; study the theoretical concepts expounded by various researchers and study the deployment of current CSR practices in India.
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Safety Management Practices in Small and Medium Enterprises in India

TL;DR: Competition between SMEs was found to be major reason for implementation of safety practices in the SMEs.
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Energy recovery in solid waste management through CDM in India and other countries.

TL;DR: In this paper, the clean development mechanism (CDM) projects involving energy recovery from municipal solid waste (MSW) were studied to assess the various processes and methodologies used and the green house gas (GHG) reductions estimated.
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A revisit of NRCS-CN inspired models coupled with RS and GIS for runoff estimation

TL;DR: Koutsoyiannis and Efstratiadis as discussed by the authors reviewed the methodology and associated hydrological models used for runoff estimation along with their advantages and limitations, focusing on the potential applications of Remote Sensing (RS) and Geographical Information System (GIS) techniques for estimating hydrologogical variables, such as rainfall, soil moisture and Natural Resource Conservation Service Curve Number (NRCS-CN).