The Indian Tea Industry

1911 ◽  
Vol 72 (1859supp) ◽  
pp. 123-123
Author(s):  
Edward F. Harran
Keyword(s):  
2001 ◽  
Vol 26 (4) ◽  
pp. 228-236
Author(s):  
Vidya P. Mulky

The Indian tea industry is the largest producer of tea in the world and, till recently, also the largest exporter. The political and social conditions in the world have, however, changed while the Indian tea industry has made no change in its product or its marketing strategy. This article on the Nilgiris small gardens cooperative “Indcoserve” deals with the need for a coordinated approach, involving organizational development, product, quality and marketing strategy.


2018 ◽  
Vol 19 (1) ◽  
pp. 154-175 ◽  
Author(s):  
Animesh DEBNATH ◽  
Abhirup BANDYOPADHYAY ◽  
Jagannath ROY ◽  
Samarjit KAR

The long-term evolution of multi agent multi criteria decision making (MCDM) and to obtain sustainable decision a novel methodology is proposed based on evolutionary game theory. In this paper multi agent MCDM is represented as an evolutionary game and the evolutionary strategies are defined as sustainable decisions. Here we consider the problem of decision making in Indian Tea Industry. The agents in this game are essentially Indian Tea Estate owner and Indian Tea board. The replicator dynamics of the evolutionary game are studied to obtain evolutionary strategies which could be defined as sustainable strategies. The multi agent MCDM in Indian Tea Industry is considered under different socio-political and Corporate Social Responsibility scenario and groups of Indian Tea Industry. Again, the impacts of imprecision and market volatility on the outcome of some strategies (decisions) are studied. In this paper the imprecision on the impact of the strategies are modelled as fuzzy numbers whereas the market volatility is taken into account as white noise. Hence the MCDM problem for Indian Tea Industry is modelled as a hybrid evolutionary game. The probabilities of strategies are obtained by solving hybrid evolutionary game and could be represented as a Dempster-Shafer belief structure. The simulation results facilitate the Decision Makers to choose the strategies (decisions) under different type of uncertainty.


2020 ◽  
pp. 437-451
Author(s):  
Harold H. Mann ◽  
Daniel Thorner
Keyword(s):  

2015 ◽  
Vol 31 (1) ◽  
pp. 4-29 ◽  
Author(s):  
Sarah Besky

For more than 150 years, most tea grown on plantations in northeast India has been sold in open-outcry auctions in Kolkata. In this essay, I describe how, in 2009, the Tea Board of India, the government regulator of the tea trade, began to convert auctioning from a face-to-face outcry process to a face-to-computer digital one. The Tea Board hoped that with the implementation of digital technologies, trade would soon revolve around the buying and selling of futures contracts, not individual lots of tea. Despite these efforts, the tea industry has thus far resisted all attempts at financialization. That so prominent a commodity as tea has yet to be financialized provides a unique opportunity to examine the how of financialization—the governmental and technical steps that precede futures and other kinds of derivatives markets. Futures markets rely on a standardized notion of price and of the material things being priced. The story of Indian tea’s resistance to financialization shows how such standardization requires not just a disentangling of commodities at the level of productive infrastructure (that is, the separation of individual trader and thing being traded) but also a reworking of the communicative infrastructure of trading. In this essay, I analyze this reworking by examining the effort to reform how tea is priced at auction. Specifically, I describe a transition in tea valuation from socially embedded price stories to standardized price scenarios.


1984 ◽  
Vol 12 (4) ◽  
pp. 34 ◽  
Author(s):  
Tharian George K.

1938 ◽  
Vol 7 (5) ◽  
pp. 58-58
Author(s):  
R. E. H.
Keyword(s):  

Author(s):  
Subhabrata Moitra ◽  
Saibal Moitra ◽  
Prasanta Das ◽  
Punam Thapa ◽  
Sukumar Debnath ◽  
...  
Keyword(s):  

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