Abstract

India has experienced exponential growth in sales of two-wheelers due to their high fuel economy and easy manoeuvrability in congested traffic conditions. Understanding Indian consumers’ valuation of fuel economy while purchasing a two-wheeler is crucial to evaluate whether Indian two-wheeler buyers are myopic with regards to future fuel costs. However currently, there exists no quantification of the value that Indian two-wheeler buyers ascribe to fuel economy. We address this gap in the literature by analyzing revealed preference survey data from more than 8000 respondents across India, who purchased a new two-wheeler in 2018. Discrete choice models, including standard conditional logit and flexible mixed logit, are used to infer estimates of the discount rate that Indian consumers apply to obtain the present value of future operating cost at the time of two-wheeler purchase. The results of conditional logit indicate that the annual discount rate is below 10% for Indian two-wheeler buyers with monthly household incomes above 15,000 rupees (∼US$215 in 2018; ∼73% of the sample). Mixed logit suggests substantial heterogeneity in discount rates across respondents at a given income level. The median of the mixing distribution is close to the conditional logit estimates, which leads to a conclusion that an average Indian two-wheeler buyer ascribes a high value to future fuel cost savings. Besides, our analysis provides various insights into Indian consumers’ preferences. For instance, style/looks, fuel economy, comfort, and brand (in decreasing order) are the top four factors that influence two-wheeler purchase decisions of Indian consumers.

Highlights

  • India is the world’s third-largest emitter of greenhouse gases (GHGs) after China and the US (Timperley, 2019)

  • The results indicate that the magnitude of all correlations, except with fuel economy, are above 0.75

  • It is worth noting that the presence of such high correlation between alternative-specific attributes and no variation in choice sets across respondents complicates the estimation of choice models using revealed preference datasets (Haaf et al, 2016; Sheldon and Dua 2018)

Read more

Summary

Context

India is the world’s third-largest emitter of greenhouse gases (GHGs) after China and the US (Timperley, 2019). Consumers’ fuel economy valuation has become even more critical given that the Indian government’s recent policy announcements aim to combat energy security issues by increasing the uptake of electric vehicles, which typically have relatively higher upfront costs and lower operating fuel costs (Albrahim et al, 2019; IEA 2020; Kumar and Alok, 2020; Li and Wang, 2019; Zhuge et al, 2020). These analyses are difficult to undertake in the Indian context due to data availability challenges. To the best of our knowledge, this is the first time that fuel economy valuation of two-wheeler buyers is presented for a fastgrowing developing market such as India, using large-scale survey data on the revealed preferences of consumers

Literature review on the indian two-wheeler market
Research gaps and contributions
Discrete choice model formulation
Discount rate
Data description
Summary statistics
Sampling weights
Model estimation results
Checking for price endogeneity
Policy implications
Conclusions and future work
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call