| Literature DB >> 27034518 |
Mark Goodchild1, Anne-Marie Perucic1, Nigar Nargis2.
Abstract
OBJECTIVE: To investigate the potential for tobacco tax to contribute to the 2030 agenda for sustainable development by reducing tobacco use, saving lives and generating tax revenues.Entities:
Mesh:
Year: 2016 PMID: 27034518 PMCID: PMC4794304 DOI: 10.2471/BLT.15.164707
Source DB: PubMed Journal: Bull World Health Organ ISSN: 0042-9686 Impact factor: 9.408
Summary of key model assumptions and parameters
| Variable | Country income group | |||
|---|---|---|---|---|
| Low | Lower- middle | Upper- middle | High | |
| Increase in excise, I$/20-cigarette packb | 1.00 | 1.00 | 1.00 | 1.00 |
| Pass through of taxes onto price, % | 100 | 100 | 100 | 100 |
| Increase in industry margins per pack, % | 2.5 | 2.5 | 2.5 | 2.5 |
| Elasticity in cigarette price | −0.50 | −0.40 | −0.40 | −0.30 |
| Elasticity in prevalence of smoking | −0.25 | −0.20 | −0.20 | −0.15 |
| Risk of a smoking-attributable death, %e | 33 | 33 | 33 | 33 |
| Mortality adjustment for quitters, %f | 67 | 67 | 67 | 67 |
I$: international dollars.
a In effect in the 12 months following the increase in excise, in 2014.
b International dollars were based on the purchasing power parity exchange rates for 2014.
c In effect one to three years after the increase in excise.
d In effect from the end of the third year after the increase in excise.
e Among the adult daily smokers who were alive in 2014.
f The probability that an adult daily smoker in 2014 – who would have died from smoking – will avoid a smoking-attributable death by quitting.
Simulation model of the cigarette market by country income group, 181 countries
| Variable | Country income group | ||||
|---|---|---|---|---|---|
| Low | Lower- middle | Upper- middle | High | All | |
| 2014 baseline value, I$/20-cigarette pack | 0.80 | 1.10 | 0.94 | 2.53 | 1.37 |
| After simulated increase, I$/20-cigarette pack | 1.82 | 2.16 | 1.99 | 3.59 | 2.46 |
| Change, % | +127 | +96 | +111 | +42 | +80 |
| 2014 baseline value, I$/20-cigarette pack | 2.02 | 2.42 | 2.62 | 5.07 | 3.20 |
| After simulated excise increase, I$/20-cigarette pack | 3.30 | 3.69 | 3.90 | 6.35 | 4.55 |
| Change, % | +63 | +53 | +48 | +25 | +42 |
| 2014 baseline value, millions of 20-cigarette packs | 6878 | 48 938 | 163 440 | 74 447 | 293 704 |
| After simulated excise increase, millions of 20-cigarette packs | 4656 | 37 645 | 130 138 | 68 052 | 240 491 |
| Change, millions of 20-cigarette packs (%) | −2222 (−32) | −11 293 (−23) | −33 302 (−20) | −6395 (−9) | −53 212 (−18) |
| 2014 baseline value, millions of I$ | 5520 | 54 020 | 154 155 | 188 477 | 402 172 |
| After simulated excise increase, millions of I$ | 8492 | 81 275 | 258 782 | 244 052 | 592 600 |
| Change, millions of I$ (%) | +2971 (+54) | +27 256 (+50) | +104 627 (+68) | +55 574 (+29) | +190 428 (+47) |
| 2014 baseline value, % of adults | 9.1 | 9.3 | 17.5 | 18.2 | 14.1 |
| After simulated excise increase, % of adults | 7.7 | 8.3 | 15.8 | 17.5 | 12.9 |
| Change, % | −16 | −11 | −10 | −4 | −9 |
| 2014 baseline value | 44 584 | 165 037 | 337 715 | 192 936 | 740 271 |
| After simulated excise increase | 37 448 | 147 025 | 304 910 | 185 272 | 674 654 |
| Change | −7136 | −18 012 | −32 805 | −7664 | −65 617 |
| Predicted from 2014 baseline data | 14 861 | 55 012 | 112 572 | 64 312 | 246 757 |
| After simulated excise increase | 13 275 | 51 010 | 105 282 | 62 609 | 232 175 |
| Change | −1586 | −4003 | −7290 | −1703 | −14 582 |
I$: international dollars.
Note: International dollars were based on the purchasing power parity exchange rates for 2014.
Simulation model of the cigarette market by WHO region, 181 countries
| Variable | WHO region | |||||
|---|---|---|---|---|---|---|
| Africa | Americas | Eastern Mediterranean | Europe | South-East Asia | Western Pacific | |
| 2014 baseline value, I$/20-cigarette pack | 0.74 | 2.36 | 0.77 | 2.51 | 1.40 | 0.87 |
| After simulated increase, I$/20-cigarette pack | 1.80 | 3.42 | 1.88 | 3.62 | 2.43 | 1.90 |
| Change, % | +143 | +45 | +143 | +44 | +73 | +118 |
| 2014 baseline value, I$/20-cigarette pack | 2.72 | 5.46 | 2.06 | 4.60 | 2.91 | 2.50 |
| After simulated excise increase, I$/20-cigarette pack | 4.09 | 6.77 | 3.43 | 5.99 | 4.13 | 3.75 |
| Change, % | +51 | +24 | +66 | +30 | +42 | +50 |
| 2014 baseline value, millions of 20-cigarette packs | 6 917 | 26 086 | 17 486 | 57 899 | 28 858 | 156 457 |
| After simulated excise increase, millions of 20-cigarette packs | 5 253 | 23 614 | 12 280 | 51 102 | 23 640 | 124 603 |
| Change, millions of 20-cigarette packs (%) | −1 664 (−24) | −2 472 (−9) | −5 207 (−30) | −6 797 (−12) | −5 218 (−18) | −31 855 (−20) |
| 2014 baseline value, millions of I$ | 5 110 | 61 588 | 13 520 | 145 447 | 40 418 | 136 089 |
| After simulated excise increase, millions of I$ | 9 444 | 80 857 | 23 092 | 185 043 | 57 409 | 236 756 |
| Change, millions of I$ (%) | 4 333 (+85) | 19 269 (+31) | 9 572 (+71) | 39 596 (+27) | 16 991 (+42) | 100 668 (+74) |
| 2014 baseline value, % of adults | 7.8 | 11.2 | 11.6 | 21.1 | 8.6 | 19.9 |
| After simulated excise increase, % of adults | 6.8 | 10.6 | 9.8 | 20.0 | 7.8 | 17.9 |
| Change, % | −12 | −5 | −15 | −5 | −9 | −10 |
| 2014 baseline value | 41 535 | 81 221 | 46 341 | 157 913 | 113 650 | 299 611 |
| After simulated excise increase | 36 407 | 76 862 | 39 399 | 149 645 | 103 419 | 268 922 |
| Change | −5 127 | −4 359 | −6 942 | −8 268 | −10 232 | −30 689 |
| Predicted from 2014 baseline data | 13 845 | 27 074 | 15 447 | 52 638 | 37 883 | 99 870 |
| After simulated excise increase | 12 705 | 26 105 | 13 904 | 50 800 | 35 610 | 93 051 |
| Change | −1 139 | −969 | −1 543 | −1 837 | −2 274 | −6 820 |
I$: international dollars; WHO: World Health Organization.
Note: International dollars were based on the purchasing power parity exchange rates for 2014.
Fig. 1Increases in government health expenditures resulting from the simulated increase in excise on cigarettes, 181 countries
Fig. 2Decreases in prevalence of daily cigarette smoking among adults resulting from the simulated increase in excise on cigarettes, 181 countries