Search results

Using the two waves of the India Time Use Survey, 1998–1999 and 2019, we document a 110-minute (30%) increase in average daily learning time. The largest offsetting decrease was in work time: 61 minutes. The composition of leisure changed, with television rising by 19 minutes, while talking fell by 10 minutes and games by 17 minutes. We then implement a Gelbach decomposition, showing that 68 minutes of the unconditional learning increase are predicted by demographic covariates. Of these predictors the most important are a child's state of residence and usual principal activity, which captures extensive-margin transitions into schooling.

This study evaluates the impact of carbon emission on life expectancy in Nigeria. The study also investigates the mediating role of agricultural output and foreign direct investment as suggested by the environmental Kuznets curve (EKC) and the pollution haven hypothesis (PHH), respectively.

The hypotheses and theories were tested using structural equation modeling (SEM). Primary data were collected using cross-sectional survey design. Questionnaires were distributed and responses were used to measure the latent variables of the study. A confirmatory factor analysis (CFA) was used to evaluate the measurement models, while path analysis was used to estimate the coefficients of the structural equations.

Carbon emission was found to have a negative and significant impact on life expectancy. This impact constituted both direct and indirect effects that were mediated by both foreign direct investment and agricultural output. Carbon emission and agricultural output were found to play significant roles that lead to a further negative- and significant-mediated relationship of carbon emission with life expectancy.

Unlike many previous studies on air pollution, this study investigates carbon emission in particular as well as the mediating role of agricultural output and foreign direct investment in the carbon emission and life expectancy relationship. The use of SEM also fills a methodological gap as it computes coefficients of mediation and controls for measurement bias and multicollinearity.