Arbeitspapier

Behavioral anomalies and fuel efficiency: Evidence from motorcycles in Nepal

Air pollution is a grave problem in urban areas of developing countries, with the transport sector being one of the largest contributors to emissions. A possibility to reduce carbon dioxide emissions would be for individuals to switch to more fuel-efficient vehicles. However, a gamut of behavioral anomalies and market failures have been known to inhibit individuals from investing in fuel-efficiency (due to the well-known "energy-efficiency gap"). In this study, we use novel data from Kathmandu, Nepal to understand the socio-economic and psychological determinants of three behavioral anomalies, namely present bias, loss aversion, risk aversion, as well as time preferences. In a second step, we evaluate the effect of these anomalies on the energy-efficiency gap in the choice of motorcycles of individuals. We find that present-biased individuals are less likely to invest in fuel-efficient motorcycles, and thus more likely to buy motorcycles having relatively high total lifetime costs. We also find that other factors such as income, as well as having applied for loans, play an important role in determining these choices. Our results suggest that behavioral anomalies may indeed pose as a hindrance to individuals making cost-minimizing (and also environmentally sound) investment decisions.

Language
Englisch

Bibliographic citation
Series: Economics Working Paper Series ; No. 21/353

Classification
Wirtschaft
Subject
Passenger transport
Decarbonization
Switzerland
Computable general equilibrium model
Behavioral anomalies
Present bias
Fuel efficiency
Energy-efficiency gap
Motorcycles
Nepal

Event
Geistige Schöpfung
(who)
Filippini, Massimo
Kumar, Nilkanth
Srinivasan, Suchita
Event
Veröffentlichung
(who)
ETH Zurich, CER-ETH - Center of Economic Research
(where)
Zurich
(when)
2021

DOI
doi:10.3929/ethz-b-000487242
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Filippini, Massimo
  • Kumar, Nilkanth
  • Srinivasan, Suchita
  • ETH Zurich, CER-ETH - Center of Economic Research

Time of origin

  • 2021

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