Estimating Tax Revenue Elasticity of Municipal Tobacco Taxes by Region with Average Adjustment Lags
- 1 Faculty of Business Administration, Ishinomaki Senshu University, Ishinomaki, Miyagi, Japan
- 2 Faculty of Business Administration, Ishinomaki Senshu University, Ishinomaki, Miyagi, Japan
Abstract
In Japan, the uniform and simultaneous regulation of tobacco prices using the tobacco retail price system is regarded as a social issue. Previous studies have estimated the price elasticity or tax revenue elasticity of uniform national prices from the perspective of smoke-free promotion policies and basic municipal finances; however, uniform national estimates cannot provide sufficient data to help solve social issues. This study aimed to estimate the tax revenue elasticity of the basic municipal tobacco tax by region by considering the demand adjustment mechanism (average adjustment lag) with reference to previous studies on energy to address social and academic issues further. The results showed that the short- and long-term tax revenue elasticities differed by region—especially in the long-term—with the highest and lowest values being 4.029 (Tokai Bureau of Finance) and 1.973 (Shikoku Bureau of Finance), respectively. While previous studies estimated the short-term elasticity to be below one, the long-term elasticity was above one for all regions, indicating that the earlier results may have been underestimated. We also found differences in the average adjusted lag between the uniform national and regional estimates. As a concrete policy measure, it is better to change the current tobacco tax from a specific tax to an ad valorem tax and allow JT and other tobacco manufacturers and distributors to set the main price by region.
- Akiyama, S., & Hosoe, N. (2008). Regional Electricity Power Demand in Japan. Journal of Socioeconomics, 56, 49-58. (in Japanese)
- Baltagi, B. H. (2005). Econometric Analysis of Panel Data (3rd ed.). John Wiley & Sons Inc.
- Baltagi, B. H., & Levin, D. (1992). Cigarette Taxation: Raising Revenues and Reducing Consumption. Structural Change and Economic Dynamics, 3, 321-335. https://doi.org/10.1016/0954-349X(92)90010-4
- Bernstein, M. A., & Griffin, J. (2005). Regional Differences in the Price-Elasticity of Demand for Energy. RAND Corporation. https://doi.org/10.2172/877655
- Ciccarelli, C., & De Fraja, G. (2014). The Demand for Tobacco in Post-unification Italy. Cliometrica, 8, 145-171. https://doi.org/10.1007/s11698-013-0097-z
- Ciccarelli, C., & Elhorst, J. P. (2017). A Dynamic Spatial Econometric Diffusion Model with Common Factors: The Rise and Spread of Cigarette Consumption in Italy. Regional Science and Urban Economics, 72, 131-142. https://doi.org/10.1016/j.regsciurbeco.2017.07.003
- Dunlop, S., Perez, D., & Cotter, T. (2011). Australian Smokers’ and Recent Quitters’ Responses to the Increasing Price of Cigarettes in the Context of a Tobacco Tax Increase. Addiction, 106, 1687-1695. https://doi.org/10.1111/j.1360-0443.2011.03492.x
- Dwyer-Lindgren, L., Mokdad, A., Srebotnjak, T., Flaxman, A., Hansen, G., & Murray, C. (2014). Cigarette Smoking Prevalence in US Counties: 1996-2012. Population Health Metrics, 12, Article No. 5. https://doi.org/10.1186/1478-7954-12-5
- Gallet, C. A., & List, J. A. (2002). Cigarette Demand: A Meta-Analysis of Elasticities. Health Economics, 12, 821-835. https://doi.org/10.1002/hec.765
- Goodchild, M., Perucic, A. M., & Nargis, N. (2016). Modelling the Impact of Raising Tobacco Taxes on Public Health and Finance. Bulletin of the World Health Organization, 94, 250-257.
- Goto, R., Nishimura, S., & Ida, T. (2007). Conjoint Analysis of Intention of Quit-Smoking. Journal of Health and Welfare Statistics, 54, 38-43. (in Japanese)
- Hidayat, B., & Thabrany, H. (2010). Cigarette Smoking in Indonesia: Examination of a Myopic Model of Addictive Behaviour. International Journal of Environmental Research and Public Health, 7, 2473-2485. https://doi.org/10.3390/ijerph7062473
- Hiromatsu, T., Ikeda, M., Fujiwara, N., & Wakabayashi, Y. (1988). Econometric Analysis Revisited: Estimation Procedures for Building More Reliable Models. Journal of Economic Analysis, 112, 1-36. (in Japanese)