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Behavioral Anomalies and Fuel Efficiency: Evidence from Motorcycles in Nepal

Author

Listed:
  • Massimo Filippini

    (CER–ETH – Center of Economic Research at ETH Zurich and Università della Svizzera italiana, Switzerland)

  • Nilkanth Kumar

    (CER–ETH – Center of Economic Research at ETH Zurich, Switzerland)

  • Suchita Srinivasan

    (CER–ETH – Center of Economic Research at ETH Zurich, Switzerland)

Abstract

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.

Suggested Citation

  • Massimo Filippini & Nilkanth Kumar & Suchita Srinivasan, 2021. "Behavioral Anomalies and Fuel Efficiency: Evidence from Motorcycles in Nepal," CER-ETH Economics working paper series 21/353, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  • Handle: RePEc:eth:wpswif:21-353
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    References listed on IDEAS

    as
    1. Kenneth Gillingham & Karen Palmer, 2014. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 18-38, January.
    2. Mark Dean & Anja Sautmann, 2021. "Credit Constraints and the Measurement of Time Preferences," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 119-135, March.
    3. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    4. Hunt Allcott & Dmitry Taubinsky, 2015. "Evaluating Behaviorally Motivated Policy: Experimental Evidence from the Lightbulb Market," American Economic Review, American Economic Association, vol. 105(8), pages 2501-2538, August.
    5. Sakha, Sahra, 2019. "Determinants of risk aversion over time: Experimental evidence from rural Thailand," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 80(C), pages 184-198.
    6. Harding, Matthew & Hsiaw, Alice, 2014. "Goal setting and energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 209-227.
    7. Ned Augenblick & Muriel Niederle & Charles Sprenger, 2015. "Editor's Choice Working over Time: Dynamic Inconsistency in Real Effort Tasks," The Quarterly Journal of Economics, Oxford University Press, vol. 130(3), pages 1067-1115.
    8. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    9. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    10. Molly Espey & Santosh Nair, 2005. "Automobile Fuel Economy: What Is It Worth?," Contemporary Economic Policy, Western Economic Association International, vol. 23(3), pages 317-323, July.
    11. James M. Sallee, 2014. "Rational Inattention and Energy Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 781-820.
    12. Stephan Meier & Charles Sprenger, 2010. "Present-Biased Preferences and Credit Card Borrowing," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 193-210, January.
    13. Xiaohao Ding & Joop Hartog & Yuze Sun, 2010. "Can we measure Individual Risk Attitudes in a Survey?," Tinbergen Institute Discussion Papers 10-027/3, Tinbergen Institute.
    14. Mahmud Yesuf & Randall A. Bluffstone, 2009. "Poverty, Risk Aversion, and Path Dependence in Low-Income Countries: Experimental Evidence from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1022-1037.
    15. Falk, Armin & Becker, Anke & Dohmen, Thomas & Huffman, David B. & Sunde, Uwe, 2016. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," IZA Discussion Papers 9674, Institute of Labor Economics (IZA).
    16. Ubfal, Diego, 2016. "How general are time preferences? Eliciting good-specific discount rates," Journal of Development Economics, Elsevier, vol. 118(C), pages 150-170.
    17. Turrentine, Thomas S. & Kurani, Kenneth S., 2007. "Car buyers and fuel economy?," Energy Policy, Elsevier, vol. 35(2), pages 1213-1223, February.
    18. Lukas Menkhoff & Sahra Sakha, 2016. "Determinants of Risk Aversion over Time: Experimental Evidence from Rural Thailand," Discussion Papers of DIW Berlin 1582, DIW Berlin, German Institute for Economic Research.
    19. Rachel Cassidy, 2018. "Are the poor so present-biased?," IFS Working Papers W18/24, Institute for Fiscal Studies.
    20. Rachel Cassidy, 2018. "Are the poor so present-biased?," CSAE Working Paper Series 2018-19, Centre for the Study of African Economies, University of Oxford.
    21. Cassar, Alessandra & Healy, Andrew & von Kessler, Carl, 2017. "Trust, Risk, and Time Preferences After a Natural Disaster: Experimental Evidence from Thailand," World Development, Elsevier, vol. 94(C), pages 90-105.
    22. Bernd Hardeweg & Lukas Menkhoff & Hermann Waibel, 2013. "Experimentally Validated Survey Evidence on Individual Risk Attitudes in Rural Thailand," Economic Development and Cultural Change, University of Chicago Press, vol. 61(4), pages 859-888.
    23. George-Marios Angeletos, 2001. "The Hyberbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 47-68, Summer.
    24. Sallee, James M. & West, Sarah E. & Fan, Wei, 2016. "Do consumers recognize the value of fuel economy? Evidence from used car prices and gasoline price fluctuations," Journal of Public Economics, Elsevier, vol. 135(C), pages 61-73.
    25. Sendhil Mullainathan & Richard H. Thaler, 2000. "Behavioral Economics," NBER Working Papers 7948, National Bureau of Economic Research, Inc.
    26. Schleich, Joachim & Gassmann, Xavier & Meissner, Thomas & Faure, Corinne, 2019. "A large-scale test of the effects of time discounting, risk aversion, loss aversion, and present bias on household adoption of energy-efficient technologies," Energy Economics, Elsevier, vol. 80(C), pages 377-393.
    27. Cohen, François & Glachant, Matthieu & Söderberg, Magnus, 2017. "Consumer myopia, imperfect competition and the energy efficiency gap: Evidence from the UK refrigerator market," European Economic Review, Elsevier, vol. 93(C), pages 1-23.
    28. Anderson, Soren T. & Newell, Richard G., 2004. "Information programs for technology adoption: the case of energy-efficiency audits," Resource and Energy Economics, Elsevier, vol. 26(1), pages 27-50, March.
    29. Hunt Allcott & Nathan Wozny, 2014. "Gasoline Prices, Fuel Economy, and the Energy Paradox," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.
    30. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588.
    31. Lisa Cameron & Manisha Shah, 2015. "Risk-Taking Behavior in the Wake of Natural Disasters," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 484-515.
    32. Heutel, Garth, 2019. "Prospect theory and energy efficiency," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 236-254.
    33. R. H. Strotz, 1955. "Myopia and Inconsistency in Dynamic Utility Maximization," Review of Economic Studies, Oxford University Press, vol. 23(3), pages 165-180.
    34. Meghan R. Busse & Christopher R. Knittel & Florian Zettelmeyer, 2013. "Are Consumers Myopic? Evidence from New and Used Car Purchases," American Economic Review, American Economic Association, vol. 103(1), pages 220-256, February.
    35. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
    36. Leandro S. Carvalho & Stephan Meier & Stephanie W. Wang, 2016. "Poverty and Economic Decision-Making: Evidence from Changes in Financial Resources at Payday," American Economic Review, American Economic Association, vol. 106(2), pages 260-284, February.
    37. Benjamin B. Lockwood, 2020. "Optimal Income Taxation with Present Bias," American Economic Journal: Economic Policy, American Economic Association, vol. 12(4), pages 298-327, November.
    38. Robert Shupp & Scott Loveridge & Mark Skidmore & Jungmin Lim & Cynthia Rogers, 2017. "Risk, Loss, and Ambiguity Aversion after a Natural Disaster," Economics of Disasters and Climate Change, Springer, vol. 1(2), pages 121-142, July.
    39. Ding, Xiaohao & Hartog, Joop & Sun, Yuze, 2010. "Can We Measure Individual Risk Attitudes in a Survey?," IZA Discussion Papers 4807, Institute of Labor Economics (IZA).
    40. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    41. Turrentine, Tom & Kurani, Kenneth S, 2007. "Car buyers and fuel economy?," Institute of Transportation Studies, Working Paper Series qt56x845v4, Institute of Transportation Studies, UC Davis.
    42. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    43. Mark Skidmore (ed.), 2017. "The Economics of Natural Disasters," Books, Edward Elgar Publishing, number 15537.
    44. Train, Kenneth, 1985. "Discount rates in consumers' energy-related decisions: A review of the literature," Energy, Elsevier, vol. 10(12), pages 1243-1253.
    45. Alberini, Anna & Di Cosmo, Valeria & Bigano, Andrea, 2019. "How are fuel efficient cars priced? Evidence from eight EU countries," Energy Policy, Elsevier, vol. 134(C).
    46. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    47. Todd Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Deconstructing the Energy-Efficiency Gap: Conceptual Frameworks and Evidence," American Economic Review, American Economic Association, vol. 105(5), pages 183-186, May.
    48. Can, B. & Erdem, O., 2013. "Present-bias in different income groups," Research Memorandum 008, Maastricht University, Graduate School of Business and Economics (GSBE).
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    More about this item

    Keywords

    Behavioral anomalies; Present bias; Fuel efficiency; Energy-efficiency gap; Motorcycles; Nepal;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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