A (nearly) global look at the dynamics of youth smoking initiation and cessation: the role of cigarette prices

This study investigates the role of cigarette prices on smoking initiation and cessation among youth in a sample of eight primarily non-Western low, middle, and high income countries, with a particular focus on a subsample of 40 low- and middle-income countries (LMICs). Using split-population duration models on longitudinally-transformed individual data from the Global Youth Tobacco Survey (GYTS), the average impact of cigarette prices in the presence of unobserved country heterogeneity and shifting cultural norms within countries is identified by the variation of cigarette prices within countries over time. Price increases are found to effectively reduce initiation in early youth, and girls are considerably more responsive than boys. The price elasticity of initiation in LMICs is ?0.82 for the combined gender analysis, ?0.46 for boys only and ?1.5 for girls only. There is some indication that youths in developing countries may be slightly less responsive to price changes than in high-income countries. No evidence is found that cigarette prices increase quitting rates in youth, which may be due to the difficulty of defining true quitting among smokers in early life.     

How does perception on green environment across generations affect consumer behaviour? A neural network process

This paper examines how the perception on green environment can affect consumer behaviour. It tests whether consumer behaviour responds to environmental change. This study captures the interaction between green environment perception and behaviour. A neural network analysis is used to address this challenge to model such a behaviour. A total of 462 interviews were conducted and analysed using neural network process. A Scaled Conjugate Gradient with random data division was used in training and the performance was calculated using mean square error. The result reveals that perception–behaviour gap exists across generations on green environment. It indicates that perception on green producing, green living, green transport and green product is an important factor in determining the behaviour on green consumption. The neural network accurately recognized green behaviour up to nearly 82% with MSE = 0.09 at epoch 31, which is a high level of recognition accuracy. This study underlines the existence of perception–behaviour gap on green environment. However, these are only identified to people with low‐to‐medium level of green behaviours (level of correct only 44.5% and 30%). People with high level of green behaviour in fact show consistency between their perceptions and behaviours (level of correct 96.4%). This result shows that people tend to have higher perceptions on green environment, but their behaviour reflects otherwise.