Evidence map›Paper›PMID 37702761›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2024

The Association Between the License Fee Increase and the Density of Tobacco Retailers in California-A Segmented Interrupted Time-Series Analysis by Income and Race/Ethnicity.

Yanyun He, Qian Yang, Bo Lu, Ce Shang

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Squeezing Tobacco Retail Density Between 2000 and 2020 an Analysis of an Australian Tobacco Sellers Register.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  3. Article
  4. The Relationship between Combined State and Local Tobacco Retail Licensing Laws and Retailer Density: The Case in California (2012-2021).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yanyun HeCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA.ORCID 0000-0001-6279-6102
Qian YangCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Bo LuDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Ce ShangCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA.ORCID 0000-0002-8838-4250

Funding

Vaporized Nicotine Product Initiation Among Youth in the US, Canada, and England: Methods to Predict Uptake and Policy EfficacyP01CA200512 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HAMMOND, DAVID · 2016 to 2025
$25.3M
The Science of Decision Making: Connecting People and PolicyP50DA036128 · NIDA · GEORGIA STATE UNIVERSITY · PI ERIKSEN, MICHAEL PAUL · 2013 to 2018
$19.4M
The impact of ENDS tax policies on the consumption of ENDS and cigarettesR21CA249757 · NCI · OHIO STATE UNIVERSITY · PI SHANG, CE · 2021 to 2021
$401k
NCI NIH HHS P01 CA200512NCI NIH HHS R21 CA249757NIDA NIH HHS P50 DA036128
6 · The paper itself

Abstract

introductionOn May 9, 2016, the State of California passed a law to increase the licensing fee for tobacco retailers from a one-time-only fee of $100 to an annual fee of $265, effective on June 9, 2016. This study investigates the association between this fee increase and retailer densities by neighborhood income and race/ethnicity characteristics.

methodsWe obtained quarterly data on the number of active tobacco retailer licenses from 2011 to 2020 in every zip code in California from the California Department of Tax and Fee Administration. These data were then linked to zip code-level income, race/ethnicity, and population measures. We used a single-group segmented interrupted time-series analysis to assess the association between the increase in licensing fees and retailer densities by neighborhood income and race/ethnicity.

resultsAfter the implementation of the annual licensing fees, the retailer density decreased both immediately and gradually. Specifically, the retailer density dropped by 0.47 in the first quarter following the intervention. Compared to the pre-intervention time trend, the retailer density decreased quarterly by 0.05. Furthermore, the impacts of increasing licensing fees were more pronounced in low-income and the majority Black zip codes.

conclusionsGiven that higher smoking prevalence is associated with greater tobacco outlet density, the licensing fee increase could be an effective policy tool to reduce tobacco use among economically disadvantaged and minority Black communities, thereby addressing tobacco-use disparities. IMPLICATIONS: This study used the single-group segmented interrupted time-series analysis to assess the association between the licensing fee increase and tobacco retailer densities by neighborhood income and race/ethnicity. We found that this licensing fee increase was associated with reduced retailer densities and the total number of active retailers right after the implementation. We further found that the annual licensing fee policy had a continuous effect in reducing tobacco retailer densities in all zip codes. The impacts of increasing licensing fees were more pronounced in low-income and majority of Black zip codes.

Indexed as

Tobacco ProductsCaliforniaCommerceEthnicityHumansIncomeSmoking

Identifiers

PMID37702761
PMCPMC11494234

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.