ArticlePloS one2021
Understanding wildlife crime in China: Socio-demographic profiling and motivation of offenders.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Compound Ecoclimatic Events: The Long-Term Recovery of Conservation-Priority Mammals After an Extreme Ice Storm Event Was Promoted by the Alleviation of Poaching.Global change biology · 2026Article
- Animal Species and Identity Testing: Developments, Challenges, and Applications to Non-Human Forensics.Genes · 2025Review
- Article
- MicroRNAs May Play an Important Role in Sexual Reversal Process of Chinese Soft-Shelled Turtle,Genes · 2021Article
- Prosecution records reveal pangolin trading networks in China, 2014-2019.Zoological research · 2021Article
- Is One Health a Viable Strategy in Animal Health Litigation: Evidence from Civil Lawsuits in China.Animals : an open access journal from MDPI · 2021Article
- Trading Animal Lives: Ten Tricky Issues on the Road to Protecting Commodified Wild Animals.Bioscience · 2021Article
- Animal sales from Wuhan wet markets immediately prior to the COVID-19 pandemic.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wildlife crime presents a growing threat to the integrity of ecological communities. While campaigns have raised consumer awareness, little is known about the socio-demographic profile of wildlife offenders, or how to intervene. Using data from China Judgements Online (2014-2018), we documented 4,735 cases, involving 7,244 offenders who smuggled, hunted, transported, sold and/or purchased protected species in contravention of China's Criminal Law. Offenders were predominantly men (93.0% of 7,143 offenders), aged 30-44 (43.9% of 4,699), agricultural workers (48.4% of 3,960), with less schooling (78.6% of 4,699 < senior secondary school). Socio-economic profiles related to crime seriousness, the type of illegal activity, motivation and taxon involved. These generalizations reveal scope to tailor specific intervention and mitigation approaches to offender profiles, through public information campaigns, proactive incentives opposed by punitive disincentives, and provision of alternative incomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.