EconPapers    
Economics at your fingertips  
 

Buying Guide for Best Car in India: An Application of Data Envelopment Analysis

Neelanghsu Ghosh ()
Additional contact information
Neelanghsu Ghosh: PRMS Mahavidyalaya

Chapter Chapter 11 in Applications of Operational Research in Business and Industries, 2023, pp 159-174 from Springer

Abstract: Abstract Buying the right car is tricky proposition for middle-class people in India. With the availability of number of mid-range cars, it is difficult to choose the suitable automobile, which is pocket friendly, having good looks and value for money. Buying that dream car gives a bargain hunter immense pleasure and satisfaction and a sense of heavenly accomplishment. In this paper, data envelopment analysis (DEA) is applied to find the best vehicle in the offering within a budget of four to six lakhs of Indian rupees. The methodology involved and the input–output combination chosen is justified thoroughly. Interestingly, it is found that most of the Indian car manufacturers know the mindset of Indians and make their four-wheelers appropriate for an Indian buyer. Nearly, all of the available brands in India have at least one car that falls in the category of most desirable car for the middle class.

Keywords: Pocket friendly; DEA; Input–output combination; Quantitative and qualitative factors; Most desirable car (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-8012-1_11

Ordering information: This item can be ordered from
http://www.springer.com/9789811980121

DOI: 10.1007/978-981-19-8012-1_11

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnopch:978-981-19-8012-1_11