| Literature DB >> 34992513 |
Gaurang P Nazar1,2, Nitika Sharma1, Aastha Chugh1, S M Abdullah3,4, Silwa Lina4, Noreen D Mdege5, Rijo M John6, Rumana Huque3,4, Linda Bauld7,8, Monika Arora1,2.
Abstract
INTRODUCTION: The objective of the review was to study the impact of tobacco taxes or prices on affordability and/or consumption of tobacco products in WHO South-East Asia Region (SEAR) countries, overall and by socioeconomic status; and change in consumption of one tobacco product for a given change in price/tax on another tobacco product.Entities:
Keywords: Southeast Asia; affordability; taxation; tobacco
Year: 2021 PMID: 34992513 PMCID: PMC8669701 DOI: 10.18332/tid/143179
Source DB: PubMed Journal: Tob Induc Dis ISSN: 1617-9625 Impact factor: 2.600
Eligibility criteria for the studies included in the review
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| Studies from WHO Southeast Asia Region (SEAR) countries namely- Bangladesh, Bhutan, Democratic People’s Republic of Korea (DPRK), India, Indonesia, Maldives, Myanmar, Nepal, Sri Lanka, Thailand and Timor-Leste | Included |
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| Tobacco price and taxation changes including specific excise, ad valorem tax, import/export duty, value added tax, mixed-tax and surcharges/cess | Included |
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| Irrespective of comparator or control group | NA |
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| Primary | Consumption (prevalence and/or frequency) of tobacco products | Included |
| Additional | Affordability and change in consumption of tobacco products by socioeconomic status. | Included |
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| Cross-sectional | Included |
| Case-control | Included | |
| Interrupted time series | Included | |
| Quantitative secondary data analysis | Included | |
| Narrative reviews | Excluded | |
| Econometric studies predicting the impact of price and tax changes on outcomes | Excluded | |
| Econometric studies not reflecting the impact of actual price and tax measures on outcomes | Excluded | |
| Systematic reviews | Excluded |
Figure 1PRISMA flow diagram of the selection phases of the studies
Characteristics of the studies included in the review
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| India | 9 |
| Bangladesh | 5 |
| Malaysia | 0 |
| Indonesia | 3 |
| Thailand | 3 |
| Timor-Leste | 0 |
| Myanmar | 2 |
| Democratic Republic of Korea | 0 |
| Nepal | 1 |
| Bhutan | 0 |
| Sri-Lanka | 2 |
| Multi-country (involving more than one SEAR region) | 3 |
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| Cross-sectional | 3 |
| Case control | 0 |
| Cohort | 0 |
| Secondary quantitative data analysis (or price elasticity) | 25 |
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| Cigarettes | 13 |
| Bidis | 0 |
| Smokeless tobacco (SLT) | 2 |
| More than one tobacco product (cigarettes, bidis, SLT and others) | 13 |
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| Change in consumption (frequency/prevalence) of tobacco products (primary) | 20 |
| Change in affordability of tobacco products (secondary) | 6 |
| Both affordability and consumption as outcomes | 2 |
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| Socioeconomic status (SES) analysis | 7 |
| Cross price elasticity | 8 |
| Both SES and product cross price elasticity | 3 |
Own price elasticity, consumption and affordability of tobacco products
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| 1 | 2 | Nargis 2019 | Bangladesh | Cigarettes and bidis | Few externalities undermined the effectiveness of tax and prices, thereby increasing cigarette consumption in Bangladesh | Consumption | Positive | High |
| 2 | 3 | Hussain 2017 | Thailand | Cigarettes | Overall, no change in national affordability of cigarettes | Consumption and affordability | No | High |
| 3 | 4 | Blecher 2004 | Sri Lanka, Thailand, Bangladesh, India, Indonesia | Cigarettes | The average annual percentage change in RIP (%) of cigarettes from 1990–2001: i) Sri Lanka: Decrease, ii) Thailand: Increase, iii) Bangladesh: Decrease, iv) India: Decrease, v) Indonesia: Increase | Affordability | Unclear | High |
| 4 | 5 | Shang 2018 | India | Cigarettes and bidis | The cigarette prices were significantly associated with lower hazards of smoking onset | Consumption | Inverse | High |
| 5 | 7 | Kostova 2015 | India | Smokeless tobacco | Higher ST prices were found to reduce ST use at the intensive margin. | Consumption | Inverse | Moderate |
| 6 | 8 | White 2015 | Thailand | Cigarettes | Although 50.1% of all smokers decreased consumption. The marginal effects of cigarette prices on consumption (price elasticity) were small and of the wrong sign for two of four models. It did not alter the intensity of continuing smokers. | Consumption | Contradictory statements within the study, hence unclear | High |
| 7 | 11 | John 2008 | India | Cigarettes, bidis and leaf tobacco | The proportionate increases in price lead to slightly less than proportionate reductions in consumption in the case of bidis and leaf tobacco, while leading to much less proportionate reductions in consumption in the case of cigarettes. | Consumption | Inverse | High |
| 8 | 14 | Zheng 2018 | Indonesia | Cigarettes | From 2002 to 2016, cigarette consumption steadily increased, in association with an increase in affordability. | Consumption as well as affordability | Positive | High |
| 9 | 20 | Jha P 2012 | Thailand and India | Cigarettes | Although mentioned that large taxes are an effective instrument in reducing the number of smokers but no clear-cut interpretations could be drawn on the impact of price on consumption. | Consumption | Unclear | Moderate |
| 10 | 22 | Kengganpanich 2009 | Thailand | Cigarettes | The cigarette consumption reduced after tax increase. | Consumption | Inverse | High |
| 11 | 24 | Joseph 2013 | India | Cigarettes, bidis and gutka | Based on the price elasticity estimates calculated in the study, higher tobacco prices can be an effective deterrent in participation among youth. | Consumption | Inverse | High |
| 12 | 26 | Nargis 2014 | Bangladesh | Cigarettes | Cigarette price leads to less than proportionate decrease in consumption. | Consumption | Inverse | High |
| 13 | 28 | Nargis 2018 | Bangladesh | Cigarettes, bidis and smokeless tobacco | The affordability of bidis and cigarettes increased while SLT remained unchanged. | Affordability | Positive for bidis and cigarettes; no for SLT | High |
| 14 | 29 | John 2020 | India | Cigarettes, bidis and SLT | The overall affordability of products has increased post GST. | Consumption and affordability | Unclear | High |
| 15 | 36 | Huq 2018 | Bangladesh | Cigarettes | While the top two tiers did not see any major shift but the consumption increased in low and medium tier. | Consumption | Positive | High |
| 16 | 37 | Guindon 2019 | India | Cigarettes and bidis | Bidis and cigarettes have become substantially affordable, despite the price increase. | Affordability | Positive | High |
| 17 | 39 | Fernando 2019 | Sri Lanka | Any type | Increasing the price of tobacco products has no significant impact on smoking behaviors. | Consumption | Positive | Low |
| 18 | 45 | Shang 2017 | India | Cigarettes, bidis and dual | Higher state cigarette VAT rates in India were significantly associated with lower smoking. | Consumption | Inverse | High |
| 19 | 46 | Nargis 2014 | Bangladesh | SLT-zarda | The price of zarda appears to influence the prevalence of zarda use negatively as expected. | Consumption | Inverse | High |
| 20 | 55 | Arunatilake 2000 | Sri Lanka | Overall tobacco | Based on the price elasticity estimates; price increases are effective in reducing tobacco consumption. | Consumption | Inverse | High |
| 21 | 66 | John 2010 | India | Cigarettes, bidis and chewing | All products have become more affordable (based on RIP computed for all the three types). | Affordability | Positive | Moderate |
| 22 | 67 | Report 2014 | Myanmar, Indonesia and Thailand | Cigarettes | No definite answer for Myanmar. Increased prevalence for cigarette smoking in Indonesia. While for Thailand as taxes increased, the prevalence decreased. | Consumption | Unclear | Moderate |
| 23 | 69 | Adioetomo 2005 | Indonesia | Cigarettes | Price increase will have effect on quantities of cigarettes consumed, based on the negative price elasticity estimates. | Consumption | Inverse | High |
| 24 | 70 | Yurekli 2003 | Nepal | Cigarettes and bidis | Negative price elasticity estimates; Increase in excise taxes would reduce consumption. | Consumption | Inverse | High |
| 25 | 71 | Kyaing NN 2005 | Myanmar | Cigarettes, cheroots, SLT | Based on the price elasticity estimates higher prices of tobacco products will lead to reduced consumption. | Consumption | Inverse | High |
| 26 | 72 | Kyaing 2003 | Myanmar | All tobacco products | Cigarette affordability did not change much but cheroots have become much more affordable. | Affordability | No as well positive | Moderate |
| 27 | 73 | Djutaharta 2005 | Indonesia | Cigarettes | Overall, the trend in cigarette consumption neither increased or decreased. | Consumption | No | High |
| 28 | 74 | Goodchild 2020 | India | Cigarettes, bidis and chewing | No significant change in affordability of bidis and cigarettes. While affordability of SLT has reduced significantly. | Affordability | No as well positive | Moderate |
The reference for each Study ID is given in the Supplementary file Table S9.
These interpretations were given in graphs and not explicitly stated by the authors. Hence, no clear inferences could be drawn for findings specific to WHO-SEAR countries.
In study 5, onset refers to a created dummy variable and pertains to start of tobacco use in the given year (coded as 1, and 0 for non-smokers).
The author does say that this is due to no increase in taxation within GST regime, unlike high VAT tax.
Note: Although affordability is expressed as RIP (%) in most of studies, increase in RIP means tobacco products become expensive, however for easy interpretation of results ‘direct’ relationship between price and affordability of products means that products have become more affordable despite the price increase.
Change in own price elasticity, consumption and affordability of tobacco products by SES and cross price elasticity of tobacco products (secondary outcome)
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| 1 | 3 | Hussain 2017 | Education (completed college or university, income quintiles) | Smokers with higher educational level and income show higher odds of consuming upper price-tier brands. |
| 2 | 24 | Joseph 2013 | Price elasticity of products based on income | Income is positively associated with participation to tobacco use. |
| 3 | 26 | Nargis 2014 | Conditional price elasticity based on household income | Poorer people are more price-sensitive than the rich |
| 4 | 55 | Arunatilake 2000 | Conditional price elasticity on SES: Poorest (1) to Richest (5) Expenditure groups | With increase in price of tobacco the per capita consumption of tobacco decreased by highest amount in the middle three SES groups. |
| 5 | 69 | Adioetomo 2005 | Based on SES (household income): Total price elasticity Conditional demand elasticity Price elasticity of smoking participation | The poorest households most likely decrease the quantity of cigarettes consumed in response to a price increase. The lower the income group, the more responsive they are to price increases. |
| 6 | 70 | Yurekli 2003 | Price elasticity (PE) on income groups from Lowest (1) to Highest (4) group | Poorer households were more sensitive to price changes compared to richer households. |
| 7 | 71 | Kyaing NN 2005 | Conditional price elasticity based on income quintiles | The poorest groups are the most sensitive to a price increase. |
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| 8 | 28 | Nargis 2018 | Association of use post price increase with SES | Cigarettes are more affordable for people from high SES compared with low and moderate SES. |
| 9 | 37 | Guindon 2019 | Affordability (RIP%) of bidis and cigarettes based on SES | Low-SES households reported paying lower prices than high-SES households, especially in bidis compared to cigarettes. |
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| 10 | 2 | Nargis 2019 | Cross price elasticity of cigarettes with bidi and dual smokers between 2009 and 2017. | Despite a relative increase in price of cigarettes relative to bidis, it has driven the migration of bidi smokers to cigarettes. |
| 11 | 5 | Shang 2018 | Cross price-elasticity of cigarettes and bidis prices with any smoking onset. | Bidi prices may have a greater impact on reducing smoking onset than cigarette prices. |
| 12 | 7 | Kostova 2015 | Cross price elasticity of bidi with SLT. | The cross price elasticity estimates were imprecise and not statistically significant. |
| 13 | 8 | White 2015 | Cross price elasticity with both and RYO. | The positive cross price elasticities suggest that both mixed use and RYO tobacco are substitute goods for cigarettes. |
| 14 | 11 | John 2008 | Cross price elasticity for cigarettes, bidi and leaf tobacco with each other. | Any increase in the price of bidis will have greater effects in reducing consumption of cigarettes as well. |
| 15 | 36 | Huq 2018 | Cross price elasticity of cigarettes within different price tiers. | An increase in prices significantly increases the probability of up trading and decreases the probability of down trading. An increase in income increases the probability of up trading and decreases the probability of down trading. |
| 16 | 39 | Fernando 2019 | Cross price elasticity with alternative products (%) | More than 80% of smokers had not used any alternatives instead of tobacco products after raising the price of tobacco products. |
| 17 | 45 | Shang 2019 | Cross price elasticity and association for cigarettes and bidis ( 2009–2010 and 2012–2013). | Higher cigarette VAT rates were significantly associated with lower dual use of cigarettes and bidis in GATS. The corresponding elasticity estimates show that an increase in cigarette VAT rates was associated with a decrease in dual use in the TCP data as well GATS data. |
| 18 | 46 | Nargis 2014 | Cross price elasticity for cigarettes, bidis and zarda prevalence (in marginal effect coefficient). | Cigarette price has a positive effect on zarda use prevalence. However, there may not be any substitutability between bidi and smokeless tobacco. |
The reference for each Study ID is given in the Supplementary file Table S9.