The sweatshop debate is contentious and enduring – some see salaried sweatshop jobs as the only chance out of poverty for the poorest. Finally, potato supply chain of India is considered as a case example for comprehensive analysis and elaborated in detail. These four categories are comprehensively reviewed and elaborated the research gap in the literature based on agri-food supply chain management. general literature review of agri-food supply chain, policies affecting the segments of agri-food supply chain, individual segments of agri-food SCM (structure of supply chain segments and conduct of supply chain segments) and performance of supply chain segments. In the next phase, the literature in the field of agri-food supply chain management is classified into four broad categories viz. The study performs content analysis and is followed by descriptive analysis. The research articles and other materials related to the agri-food supply chain management were collected from online data bases like Scopus, EBSCO and Google Scholar for the period of 10 years (2006-2016). This research work is the first attempt to make a critical literature review of available literature on agri-food SCM practices for developing countries like India. This paper has identified gaps to be explored about agricultural supply chain management (SCM) practices which may be used by researchers to enrich theory construction and practitioners may concentrate on establishing the extent and frontiers of agri-food SCM. An in-depth analysis has been carried out to identify the influential information from the literature. The purpose of this paper is to present a critical review of prior literature relating to agri-food supply chain management. In ES estimation the hybrid model yields the smallest error statistics surpassing even the EV models, especially in the developed markets. Backtesting results show that only our proposed new hybrid and Extreme Value (EV)-based VaR models provide adequate protection in both developed and emerging markets, but that the hybrid approach does this at a significantly lower cost in capital reserves. In addition to widely used VaR and ES models, we also study the behavior of conditional and unconditional extreme value (EV) models to generate 99 percent confidence level estimates as well as developing a new loss function that relates tail losses to ES forecasts. We investigate the relative performance of VaR and ES models using daily returns for sixteen stock market indices (eight from developed and eight from emerging markets) prior to and during the 2008 financial crisis. We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions.
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