اثر بازگشتی مستقیم بهبود کارایی خودروهای سواری بر مصرف بنزین در ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه اقتصاد نظری، دانشکده اقتصاد، دانشگاه علامه طباطبائی، تهران، ایران

2 گروه اقتصاد انرژی و منابع، دانشکده اقتصاد، دانشگاه خوارزمی، تهران، ایران

3 گروه اقتصاد انرژی، دانشکده اقتصاد، دانشگاه خوارزمی، تهران، ایران

چکیده

رشد شتابان مصرف سوخت در بخش حمل‌ونقل، افزون بر تشدید مصرف غیربهینه، خطرات دیگری در حوزه‌های محیط ‌زیست، تأمین وامنیت انرژی ملی به دنبال دارد. از این رو، بهبود بهره‌وری در مصرف انرژی، با هدف صرفه‌جویی در مصرف سوخت، مورد توجه سیاست گذاران می‌باشد، اما در حقیقت، چنین رویکردی، با بروز پدیده اثر بازگشتی روبرو شده و تا حدود زیادی از میزان اثرات مثبت آن در جهت تقلیل مصرف انرژی، خنثی می‌شود.
در این مطالعه با هدف برآورد اثر بازگشتی مستقیم بهبود کارایی مصرف بنزین خانوارهای شهری به تفکیک چهار طبقه مصرفی (کم‌تر از 60 لیتر، 60 تا 80 لیتر، 80 تا 120 لیتر و بیش از 120 لیتر)، طی سال‌های 1396 - 1399، از مدل سیستم تقاضای تقریبا ایده‌آل و روش رگرسیون به ظاهر نامرتبط، استفاده شده است.
نتایج نشان می‌دهد که اثر بازگشتی مستقیم بهبود کارایی مصرف بنزین به تفکیک چهار طبقه مصرفی کم‌تر از 60 لیتر، 60 تا 80 لیتر، 80 تا 120 لیتر و بیش از 120 لیتر به‌ترتیب برابر با 73/0، 94/0، 63/0 و 47/0 می‌باشد.
چنین یافته‌هایی نشان می‌دهد که به موازات افزایش مصرف غیرسهمیه‌ای بنزین، صرفه‌جویی بیشتری تحقق می‌یابد. در حقیقت مکانیزم قیمت‌گذاری بنزین که همواره مورد انتقاد قرار گرفته، عاملی مهم در میزان اثر بازگشتی است و اصلاحات بیشتری در این زمینه لازم می‌باشد.
 طبقه بندی JEL: K32, C32, H20, D61

کلیدواژه‌ها


عنوان مقاله [English]

The Direct Rebound Effect of Improving the Efficiency of Passenger Cars on Gasoline Consumption in Iran

نویسندگان [English]

  • Ali Asghar Salem 1
  • Siab Mamipour 2
  • Masoumeh Azizkhani 3
1 Department of Economics, Faculty of Economics, University of Allameh Tabataba'i, Tehran, Iran
2 Department of Energy and Resource Economics, Faculty of Economics, University of Kharazmi, Tehran, Iran
3 Department of Energy Economics, Faculty of Economics, University of Kharazmi, Tehran, Iran
چکیده [English]

In addition to intensified nonoptimal consumption, the accelerated rise of fuel consumption in the transportation sector is also followed by other hazards in domains such as the environment and national energy security and supply. Therefore, policymakers are particularly interested in improving the productivity of energy consumption with the intention of fuel saving. Such an approach, however, is faced with the rebounded effect in reality, and its positive impacts on reducing energy consumption are counteracted to a large extent.
Aiming to estimate the direct rebound effect of improving gasoline consumption efficiency among urban households in four classes of consumption (less than 60 L, 60 to 80 L, 80 to 120 L, and more than 120 L) from 2017 to 2020, the present study applies the almost ideal demand system (AIDS) model and the seemingly unrelated regression (SUR) method.
The results indicate that the direct rebound effect of improving gasoline consumption efficiency in four classes of consumption, i.e., less than 60 L, 60 to 80 L, 80 to 120 L, and more than 120 L is 0.73, 0.94, 0.63, and 0.47, respectively. These findings imply that the higher the non-rationed gasoline consumption, the more the saving. In fact, the gasoline pricing mechanism, which has been subject to ongoing criticism, is a significant factor in the extent of the rebound effect, and further amendments are required in this regard. 
JEL Classification: K32, C32, H20, D61

کلیدواژه‌ها [English]

  • Almost Ideal Demand System
  • Direct Rebound Effect
  • Energy Consumption
  • Gasoline Consumption Efficiency
  • Transportation
  1. Ang, B.W., Mu, A. , & Zhou, P. (2010). Accounting Frameworks for Tracking Energy Efficiency Trends. Energy Econ, 32, 1209–1219.
  2. Bentzen, J. (2004). Estimating the Rebound Effect in US Manufacturing Energy Consumption. Energy economics26(1), 123-134.
  3. Belaïd, F., Youssef, A. B., & Lazaric, N. (2020). Scrutinizing the Direct Rebound Effect for French Households Using Quantile Regression and Data from an Original Survey. Ecological Economics176, 106755.1-46.
  4. Berkhout, P.H., Muskens, J. C., & Velthuijsen, J.W. (2000). Defining There Bound Effect. Energy Policy, 28, 425–432.
  5. Bradley, R., Baumert, K., & Pershing, J. (2005). Growing in the Greenhouse: Protecting the Climate by Putting Development First. World Resources Institute, Washington, DC.
  6. Brännlund, R., Ghalwash, T., & Nordström, J. (2007). Increased Energy Efficiency and the Rebound Effect: Effects on Consumption and Emissions. Energy Econ, 29, 1–17.
  7. Broberg, T., Berg, C., & Samakovlis, E. (2015). The Economy-Wide Rebound Effect from Improved Energy Efficiency in Swedish Industries–A General Equilibrium Analysis. Energy policy83, 26-37.
  8. Brookes, L. (1979). A Low Energy Strategy for the UK. In A Review and Reply. Edited by Leach G., et al. 269, 3-8.
  9. Brookes, L. (1992). Energy Efficiency and Economic Fallacies: a Reply. Energy Policy, 20:390-392.
  10. Cansino, J. M., Ordóñez, M., & Prieto, M. (2022). Decomposition and Measurement of the Rebound Effect: The Case of Energy Efficiency Improvements in Spain. Applied Energy306, 117961.
  11. Chen, Z., Du, H., Li, J., Southworth, F., & Ma, S. (2019). Achieving Low-Carbon urban Passenger Transport in China: Insights from the Heterogeneous Rebound Effect. Energy Economics81, 1029-1041.
  12. Chen, Q., Zha, D., & Salman, M. (2022). The Influence of Carbon Tax on CO2 Rebound Effect and Welfare in Chinese Households. Energy Policy,168, 113103.
  13. Coulombel, N., Boutueil, V., Liu, L., Viguie, V., & Yin, B. (2019). Substantial Rebound Effects in urban Ridesharing: Simulating Travel Decisions in Paris, France. Transportation Research Part D: Transport and Environment71, 110-126.
  14. De Borger, B., Mulalic, I., & Rouwendal, J. (2016). Measuring the Rebound Effect with Micro Data: A First Difference Approach. Journal of Environmental Economics and Management79, 1-17.
  15. Dimitropoulos, A., Oueslati, W., & Sintek, C. (2018). The Rebound Effect in Road Transport: A Meta-Analysis of Empirical Studies. Energy Economics75, 163-179.
  16. Du, Q., Han, X., Li, Y., Li, Z., Xia, B., & Guo, X. (2021). The Energy Rebound Effect of Residential buildings: Evidence from urban and Rural Areas in China. Energy Policy153, 112235.
  17. Freire-González, J. (2011). Methods to Empirically Estimate Direct and Indirect Rebound Effect of Energy-Saving Technological Changes in Households. Ecological Modelling,223(1), 32-40.
  18. Fouquet, R., & Pearson, P. J. (2006). Seven Centuries of Energy Services: The Price and Use of Light in the United Kingdom (1300-2000). The energy journal, 27(1), 139-178.
  19. Galvin, R. (2015). The Rebound Effect, Gender and Social Justice: A Case Study in Germany. Energy Policy86, 759-769.
  20. Ghosh, N. K., & Blackhurst, M. F. (2014). Energy Savings and the Rebound Effect with Multiple Energy Services and Efficiency Correlation. Ecological Economics105, 55-66.
  21. Gillingham, K., Kotchen, M. J., Rapson, D. S., & Wagner, G. (2013). The Rebound Effect is Overplayed. Nature493(7433), 475-476.
  22. Greening, L. A., Greene, D.L., Difiglio, C. (2000). Energy Efficiency and Consumption – the Rebound Effect – a Survey. Energy Policy, 28, 389–401.
  23. Greene, D. L., Kahn, J. R., & Gibson, R.C. (1999). Fuel Economy Rebound Effectfor U. S. Household Vehicles. Energy. 20(3), 1–31.
  24. Greene, D. L., Sims, C. B., & Muratori, M. (2020). Two Trillion Gallons: Fuel Savings from Fuel Economy Improvements to US Light-Duty Vehicles, 1975–2018. Energy Policy,142, 111517.
  25. Greene, D. L., Greenwald, J. M., & Ciez, R. E. (2020). US Fuel Economy and Greenhouse Gas Standards: What Have they Achieved and What Have We Learned?. Energy Policy146, 111783.
  26. He, K., Huo, H., Zhang, Q., He, D., An, F., Wang, M., Walsh, M.P., (2005). Oil Consumption and CO2 Emissions in China's Road Transport: Current Status, Future Trends, and Policy Implications. Energy Policy 33, 1499–1507.
  27. Hymel, K.M., Small, K.A.,& Dender, K.V. (2010). Induced Demand and Rebound Effects in Road Transport. Transp. Res. B 44 (10), 1220–1241.
  28. IsmailNia, Ali Asghar. Ekhtiari Nikjeh, Sara. (2011). Investigating the return effect of improving car efficiency on fuel consumption. Quarterly Journal of Energy Economics Studies, 9(34), 213-185. (In Persian).
  29. Jevons, W., (1865). The Coal Question. 2nd ed. Macmillan, London, 1865.
  30. Jin, T., & Kim, J. (2019). A New Approach for Assessing the Macroeconomic Growth Energy Rebound Effect. Applied Energy239, 192-200.
  31. Khoshkalam, Musa. (2014). Reversal effects from improving the efficiency of gasoline and diesel consumption in Iran with an emphasis on the transportation sector: a computable general equilibrium model approach. Iranian Energy Economy Research Journal, 11, 131-158. (In Persian).
  32. Li, K., & Lin, B. (2015). Heterogeneity in Rebound Effects: Estimated Results and Impact of China’s Fossil-Fuel Subsidies. Applied Energy149, 148-160.
  33. Li, G., Sun, J., & Wang, Z. (2019). Exploring the Energy Consumption Rebound Effect of Industrial Enterprises in the Beijing–Tianjin–Hebei Region. Energy Efficiency12, 1007-1026.
  34. Li, K., & Jiang, Z. (2016). The Impacts of Removing Energy Subsidies on Economy-Wide Rebound Effects in China: An Input-Output Analysis. Energy Policy,98, 62-72.
  35. Li, K., & Lin, B. (2015). Heterogeneity in Rebound Effects: Estimated Results and Impact of China’s Fossil-Fuel Subsidies. Applied Energy149, 148-160.
  36. Li, J., Lin, B. (2017). Rebound Effect by Incorporating Endogenous Energy Efficiency: a Comparison between Heavy Industry and Light Industry. Appl. Energy, 200, 347–357. https://doi.org/10.1016/ j.apenergy.2017.05.087.
  37. Li, J., Li, A., & Xie, X. (2018). Rebound Effect of Transportation Considering Additional Capital Costs and Input-output Relationships: The Role of Subsistence Consumption and Unmet Demand. Energy Economics,74, 441-455.
  38. Lin, B., & Liu, X. (2013). Reform of Refined Oil Product Pricing Mechanism and Energy Rebound Effect for Passenger Transportation in China. Energy Policy57, 329-337.
  39. Lin, B., & Zhu, P. (2021). Measurement of the direct rebound effect of Residential Electricity Consumption: An Empirical Study Based on the China Family Panel Studies. Applied Energy301, 117409.
  40. Lin, B., & Tan, R. (2017). Estimating Energy Conservation Potential in China’s Energy Intensive Industries with Rebound Effect. Journal of Cleaner Production156, 899-910.
  41. Lin, B., Yang, F., & Liu, X. (2013). A Study of the Rebound Effect on China's Ccurrent Energy Conservation and Emissions Reduction: Measures and Policy Choices. Energy58, 330-339.
  42. Lu, Y., Liu, Y., & Zhou, M. (2017). Rebound Effect of Improved Energy Efficiency for Different Energy Types: A General Equilibrium Analysis for China. Energy Economics,62, 248-256.
  43. Llorca, M., & Jamasb, T. (2017). Energy Efficiency and Rebound Effect in European Road Freight Transport. Transportation Research Part A: Policy and Practice101, 98-110.
  44. Matos, J.F., & Silva, J.F. (2011). The Rebound Effect on Road Freight Transport: Empirical Evidence from Portugal. Energy Policy, 39 (5), 2833–2841.
  45. Miao, L., & Zhen, W. (2022). Estimating Long-term and Short-term CO2 Rebound Effects of China’s Urban residential Sector: Evidence from a Dynamic Econometric Approach. Economic Research-Ekonomska Istraživanja, 1-23.
  46. Moshiri, S., & Aliyev, K. (2017). Rebound Effect of Efficiency Improvement in Passenger Cars on Gasoline Consumption in Canada. Ecological Economics, 131, 330-341.
  47. Munyon, V. V., Bowen, W., & Holcombe, J. (2018). Vehicle Fuel Economy and Vehicle Miles Travelled: An Empirical Investigation of Jevons’s Paradox, Energy Research & Social Science, 38, 19–27.
  48. Orea, L., Llorca, M., & Filippini, M. (2015). A new Approach to Measuring the Rebound Effect Associated to Energy Efficiency Improvements: An Application to the US Residential Energy Demand. Energy Economics49, 599-609.
  49. Qiao, H. Li, Y.B. (2014). Rebound effect of energy and transformation of economic development – an empirical analysis based on LMDI method and Chinese data. Research on Economic Problems, 8, 30-36
  50. Roy, J. (2000). The Rebound Effect: Some Empirical Evidence from India. Energy Policy, 28,433–438.
  51. Shao, S., Guo, L., Yu, M., Yang, L., & Guan, D. (2019). Does the Rebound Effect Matter in Energy Import-Dependent Mega-Cities? Evidence from Shanghai (China). Applied Energy241, 212-228.
  52. Sharzeei, Gholamali. Ebrahimzadegan, Hezar. 1390. Estimating the return effect of increasing energy efficiency in relation to household consumption and carbon dioxide emissions in Iran. Energy Economy Studies, 30(8), 33-62. (In Persian).
  53. Steren, A., Rubin, O. D., & Rosenzweig, S. (2016). Assessing the Rebound Effect Using a Natural Experiment Setting: Evidence from the Private Transportation Sector in Israel. Energy Policy,93, 41-49.
  54. Steren, A., Rubin, O. D., & Rosenzweig, S. (2022). Energy-Efficiency Policies Targeting Consumers May not Save Energy in the Long Run: A Rebound Effect that Cannot be Ignored. Energy Research & Social Science,90, 102600.
  55. Sorrell, S., & Dimitropoulos, J. (2008). The rebound effect: Microeconomic definitions, limitations and extensions. Ecological Economics, 65(3), 636-649.
  56. Sorrell, S. (2007). The Rebound Effect: An Assessment of the Evidence for Economy-Wide Energy Savings from Improved Energy Efficiency. UK Energy Research Center. 1-123.
  57. Su, Q. (2011). Induced Motor Vehicle Travel from Improved Fuel Efficiency and Road Expansion. Energy Policy39(11), 7257-7264.
  58. Thomas, B. A., & Azevedo, I. L. (2013). Estimating Direct and Indirect Rebound Effects for US Households with Input–Output Analysis Part 1: Theoretical Framework. Ecological Economics86, 199-210.
  59. Ullah, S., Mahmood, T., & Khan, M. Z. (2022). An Estimation of Macroeconomic Energy Rebound, Intensity, and Output Effect: An Evidence from Pakistan. Sustainable Energy Technologies and Assessments52, 102170.
  60. Wang, H., Zhou, P., Zhou, D. Q. (2012). An Empirical Study of Direct Rebound Effect for Passenger Transport in Urban China. Energy Econ. 34, 452–460. https://doi.org/10.1016/j.eneco.2011.09.010
  61. Wei, T., Zhou, J., & Zhang, H. (2019). Rebound Effect of Energy Intensity Reduction on Energy Consumption. Resources, Conservation and Recycling144, 233-239.
  62. Wei, Y.M., Liao, H. (2010). China Energy Report (2010). Energy Efficiency Research. China Science Press, Beijing. (in Chinese).
  63. Wen, F., Ye, Z., Yang, H., Li, K. (2018). Exploring the Rebound Effect from the Perspective of Household: An Analysis of China's Provincial Level. Energy Economics 75, 345-356
  64. Weber, S., & Farsi, M. (2014). Travel Distance and Fuel Efficiency: An Estimation of the Rebound Effect Using Micro-Data in Switzerland. In 7th International Workshop on Empirical Methods in Energy Economics, Zurich.
  65. Yan, Z., Ouyang, X., & Du, K. (2019). Economy-Wide estimates of Energy Rebound Effect: Evidence from China's Provinces. Energy Economics83, 389-401.
  66. Yoo, S., Koh, K. W., Yoshida, Y., & Wakamori, N. (2019). Revisiting Jevons's Paradox of Energy Rebound: Policy Implications and Empirical Evidence in Consumer-Oriented. 1-44.
  67. Yu, X., Moreno-Cruz, J., & Crittenden, J. C. (2015). Regional Energy Rebound Effect: The Impact of Economy-Wide and Sector Level Energy Efficiency Improvement in Georgia, USA. Energy policy87, 250-259.
  68. Zellner A. (1962). An Efficient Method of Stimating Seemingly Unrelated Regression & Test for Aggregation Bias, Journal of the Aerican Statistical Association. 57(298), 348-368
  69. Zhang, Y., Peng, H., Su, B. (2017). Energy Rebound Effect in China's Industry: An aggregate and Disaggregate Analysis. Energy Economics, 61, 199-208.
  70. Zhou, M., Liu, Y., Feng, S., Liu, Y., & Lu, Y. (2018). Decomposition of Rebound Effect: An Energy-Specific, General Equilibrium Analysis in the Context of China. Applied Energy221, 280-298.
  71. Zhou, J., Fang, W., Han, X., Sun, Q., Liu, D., & Liu, S. (2022). Rebound Effect of Carbon Emissions of New Energy vehicle Consumption: A Case Study of Beijing. International Journal of Environmental Science and Technology, 1-18.