Market information system in regulated markets of Haryana

2017 ◽  
Vol 13 (2a) ◽  
pp. 641
Author(s):  
Sanjay ◽  
Sanjay Kumar ◽  
Moro Seidu ◽  
Veer Sain
2018 ◽  
Vol 10 (2) ◽  
pp. 528-534
Author(s):  
Veer Sain ◽  
K.K. Kundu ◽  
Anubhuti Mehta ◽  
Pooja Pooja

Cicer arietinum is a suitable crop in Bhiwani district of Haryana covering Siwani and Tosham Blocks were selected purposively on the basis of aximum production under gram crop. Further to study the marketing information and constraints in marketing of gram in Bhiwani, Dadri, Siwani and osham markets were selected. For studying the different marketing aspects 40 traders form 4 regulated markets from two blocks of Bhiwani district were randomly selected. From the findings of the research study in Bhiwani district traders, awareness on prices and arrivals in reference/other market and main market were of I-Rank, II-Rank, III-Rank and IV-Rank. Contacts in other markets with fellow traders formed major sources of market information in Bhiwani district. The daily prices were compiled manually and also written on the notices board for the information and use by the farmers visiting the market. The information is disseminated through various media like neighbors, newspapers, relatives etc. About 75% of the traders in the selected markets also faced difficulty on non-availability of information in required form.  


2015 ◽  
Vol 9 (1) ◽  
pp. 73-80
Author(s):  
Jiao Lichao

Urban rail transit has strong transportation capability, but little environmental pollution. Besides, it also saves land resource. These advantages make the urban rail transit gradually becomes an effective measure to solve city traffic problems. In order to analyze the impact of the scope and extent of urban rail transit on the real estate, this paper first introduces the composition of real estate market information system, explains the process of how the urban rail transit influences the value of real estate by taking the 1st project of line 1 of Zhengzhou urban rail transit in Henan province for example, finds the semi logarithmic model which has the best regression effects with three hedonic price models and the collected data from the real estate market information system, and finally works out the added value of real estate generated by the above urban rail transit.


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