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Empirical evidence of direct rebound effect in Indian two-wheeler sector

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Abstract

The transport sector is the main contributor to the greenhouse gas emissions in India. The rise in atmospheric pollution due to greenhouse gases has triggered the energy efficiency improvement policy in the Indian automotive sector. The extent of success of the energy efficiency improvement policy in any sector is substantially influenced by the phenomenon of “rebound effect”. The present study is aimed at seeking for the existence of direct rebound effect and its stability over time in two-wheeler transport sector in India using aggregate time series data. The study found out the presence of this effect in the two-wheeler sector, and it experiences a partial rebound of 25.5%. The direct rebound effect was found to be declining over time which is in line with the Greene (Energy Policy, 41, 14–28, 2012) and Small and Van Dender ( Energy Journal, 28(1), 25–51, 2007) models. The rebound effect existence in the two-wheeler sector should be considered during the development and implementation of energy efficiency related policies in the Indian transport sector in order to reap the maximum benefits out of these policies in the future.

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References

  • Ajanovic, A., & Haas, R. (2012). The role of efficiency improvements vs. price effects for modeling passenger transport demand and energy demand—lessons from European countries. Energy Policy, 41, 36–46.

    Article  Google Scholar 

  • Alcott, B. (2005). Jevons’ paradox. Ecological Economics, 54, 9–21.

    Article  Google Scholar 

  • AIFMVD. (2015). Total number of registered motor vehicles in India. All India Federation of Motor Vehicles Department, Government of India.

  • An, F., Gordon, D., He, H., Kodjak, D., & Rutherford, D. (2007). Passenger vehicle greenhouse gas and fuel economy standards: a global update. International Council on Clean Transportation.

  • Barla, P., Lamonde, B., Miranda-Moreno, L. F., & Boucher, N. (2009). Traveled distance, stock and fuel efficiency of private vehicles in Canada: price elasticities and rebound effect. Transportation, 36, 389–402.

    Article  Google Scholar 

  • Berkhout, P. H. G., Muskens, J. C., & Velthuijsen, J. W. (2000). Defining the rebound effect. Energy Policy, 28, 425–432.

    Article  Google Scholar 

  • Binswanger, M. (2001). Technological progress and sustainable development: what about the rebound effect? Ecological Economics, 36, 119–132.

    Article  Google Scholar 

  • Blair, R. D., Kaserman, D. L., & Tepel, R. C. (1984). The impact of improved mileage on gasoline consumption. Economic Inquiry, 22(2), 209–217.

    Article  Google Scholar 

  • Chakravarty, D., Dasgupta, S., & Roy, J. (2013). Rebound effect: how much to worry? Current Opinion in Environmental Sustainability, 5(2), 216–228.

    Article  Google Scholar 

  • CMIE (2015a), Vehicle statistics of India. Centre for Monitoring Indian Economy. http://www.cmie.com/. Accessed 10 December 2015.

  • CMIE. (2015b). India’s GDP growth. Centre for Monitoring Indian Economy. https://www.cmie.com/. Accessed 10 December 2015.

  • CPCB. (2015). Status of pollution generated from road transport in six mega cities. Central Pollution Control Board. http://cpcb.nic.in/. Accessed 10 December 2015.

  • CSE. (2008). Fuel economy regulations: setting the principles right. Centre for Science and Environment, 1–53.

  • Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: representation, estimation and testing. Econometrica, 55(2), 251–276.

    Article  MathSciNet  MATH  Google Scholar 

  • Frondel, M., Peters, J., & Vance, C. (2008). Identifying the rebound: evidence from a German household panel. The Energy Journal, 29(4), 154–163.

    Article  Google Scholar 

  • Gately, D. (1992). Imperfect price reversibility of U.S. gasoline demand: asymmetric responses to price increases and declines. The Energy Journal, 13(4), 179–207.

    Article  Google Scholar 

  • Gonzalez, J. F. (2010). Empirical evidence of direct rebound effect in Catalonia. Energy Policy, 38, 2309–2314.

    Article  Google Scholar 

  • Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37, 424–438.

    Article  MATH  Google Scholar 

  • Greene, D. L. (1992). Vehicle use and fuel economy: how big is the rebound effect? The Energy Journal, 13, 117–143.

    Article  Google Scholar 

  • Greene, D. L. (2012). Rebound 2007: analysis of U.S. light-duty vehicle travel statistics. Energy Policy, 41, 14–28.

    Article  Google Scholar 

  • Greene, D. L., Kahn, J., & Gibson, R. (1999). Fuel economy rebound effect for US household vehicles. The Energy Journal, 20, 1–32.

    Article  Google Scholar 

  • Greening, L. A., Greene, D. L., & Difiglio, C. (2000). Energy efficiency and consumption—the rebound effect—a survey. Energy Policy, 28, 389–401.

    Article  Google Scholar 

  • Guertin, C., Kumbhakar, S., & Duraiappah, A. (2003). Determining demand for energy services: investigating income-driven behaviours. International Institute for Sustainable Development.

  • Gujarati, D. N., Porter, D. C., & Gunasekar, S. (2013). Basic econometrics (5th ed.). New York: Tata McGraw-Hill.

    Google Scholar 

  • Haas, R., Auer, H., & Biermayr, P. (1998). The impact of consumer behavior on residential energy demand for space heating. Energy and Buildings, 27(2), 195–205.

  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46, 1251–1271.

    Article  MathSciNet  MATH  Google Scholar 

  • Herring, H., & Sorrell, S. (2009). Energy efficiency and sustainable consumption (1st ed.). Houndmills, Basingstoke, Hampshire, UK: Palgrave Macmillan.

  • Kejun, J. (2009). Energy efficiency improvement in China: a significant progress for the 11th Five Year Plan. Energy Efficiency, 2, 401–409.

    Article  Google Scholar 

  • Khazzoom, J. D. (1980). Economic implications of mandated efficiency in standards for household appliances. The Energy Journal, 1(4), 21–40.

    Google Scholar 

  • Matos, F. J. F., & Silva, F. J. F. (2011). The rebound effect on road freight transport: empirical evidence from Portugal. Energy Policy, 39, 2833–2841.

    Article  Google Scholar 

  • Matiaske, W., Menges, R., & Spiess, M. (2012). Modifying the rebound: it depends! Explaining mobility behavior on the basis of the German socio-economic panel. Energy Policy, 41, 29–35.

    Article  Google Scholar 

  • Menon, B. G., & Mahanty, B. (2012). Effects of fuel efficiency improvements in personal transportation: case of four-wheelers in India. International Journal of Energy Sector Management, 6(3), 397–416.

    Article  Google Scholar 

  • Menon, B. G., & Mahanty, B. (2015). Assessing the effectiveness of alternative policies in conjunction with energy efficiency improvement policy in India. Environmental Modeling and Assessment, 20(6), 609–624.

    Article  Google Scholar 

  • Menon, B. G., & Mahanty, B. (2016). Modeling Indian four-wheeler commuters’ travel behavior concerning fuel efficiency improvement policy. Travel Behaviour & Society, 4, 11–21.

    Article  Google Scholar 

  • MPNG. (2015). Indian petroleum and natural gas statistics. Ministry of Petroleum & Natural Gas, Govt. of India. http://www.indiaenvironmentportal.org.in/files/file/pngstat%202014-15.pdf. Accessed 15 December 2015.

  • MVD. (2015). Motor vehicles department, Government of India. http://www.transportindia.org/about_us_from_rto.asp. Accessed 10 December 2015.

  • Nakamura, A., & Nakamura, M. (1981). On the relationship among several specification error tests presented by Durbin, Wu, and Hausman. Econometrica, 49, 1583–1588.

    Article  MATH  Google Scholar 

  • Nassen, J., & Holmberg, J. (2009). Quantifying the rebound effects of energy efficiency improvements and energy conserving behaviour in Sweden. Energy Efficiency, 2, 221–231.

    Article  Google Scholar 

  • OGD. (2015a). Gross domestic product at constant price. Open Government Data Platform India. https://data.gov.in/catalog/gross-domestic-product-factor-cost-industry-constant-prices. Accessed 15 December 2015.

  • OGD. (2015b). Two wheelers. Open Government Data Platform India. https://data.gov.in/keywords/two-wheelers. Accessed 15 December 2015.

  • Onoda, T. (2008). Review of international policies for vehicle fuel efficiency. International Energy Agency.

  • Petroleum Planning & Analysis Cell. (2015). Consumption of petroleum products. Ministry of Petroleum & Natural Gas. http://ppac.org.in/content/147_1_ConsumptionPetroleum.aspx. Accessed 15 December 2015.

  • Roy, J. (2000). The rebound effect: some empirical evidence from India. Energy Policy, 28, 433–438.

    Article  Google Scholar 

  • Singh, A., Gangopadhyay, S., Nanda, P. K., Bhattacharya, S., Sharma, C., & Bhan, C. (2008). Trends of greenhouse gas emissions from the road transport sector in India. Science of the Total Environment, 390, 124–131.

    Article  Google Scholar 

  • Small, K.A., & Van Dender, K. (2005). The effect of improved fuel economy on vehicle miles traveled: estimating the rebound effect using U.S. state data, 1966–2001. Policy and Economics, University of California Energy Institute.

  • Small, K. A., & Van Dender, K. (2007). Fuel efficiency and motor vehicle travel: the declining rebound effect. The Energy Journal, 28(1), 25–51.

    Article  Google Scholar 

  • Sorrell, S. (2007). Improving the evidence base for energy policy: the role of systematic reviews. Energy Policy, 35, 1858–1871.

    Article  Google Scholar 

  • Sorrell, S., & Dimitropoulos, J. (2008). The rebound effect: microeconomic definitions, limitations and extensions. Ecological Economics, 65, 636–649.

    Article  Google Scholar 

  • Sorrell, S., Dimitropoulos, J., & Sommerville, M. (2009). Empirical estimates of the direct rebound effect: a review. Energy Policy, 37, 1356–1371.

    Article  Google Scholar 

  • Wei, T. (2010). A general equilibrium view of global rebound effects. Energy Economics, 32, 661–672.

    Article  Google Scholar 

  • Wheaton, W. C. (1982). The long-run structure of transportation and gasoline demand. Bell Journal of Economics, 13(2), 439–454.

    Article  Google Scholar 

Download references

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Correspondence to Balagopal G. Menon.

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Menon, B.G. Empirical evidence of direct rebound effect in Indian two-wheeler sector. Energy Efficiency 10, 1201–1213 (2017). https://doi.org/10.1007/s12053-017-9515-6

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