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While science has researched the impact of air pollution on human health, the economic dimension of it has been less researched so far. Renewable energy consumption is an important factor in determining the level of life expectancy and reducing health expenditure. Thus, this study aims to investigate the impact of renewable energy, carbon emissions, health expenditure and urbanization on life expectancy in G-7 countries over the period of 2000–2019.

This study has adopted a novel Method of Moments Quantile Regression (MMQR). Furthermore, as a robustness check for MMQR, the fully modified ordinary least square, dynamic ordinary least squares and fixed effect ordinary least square estimators have been used.

The results indicated that renewable energy consumption, health expenditure and urbanization lead to an increase in life expectancy across all quantiles (5th to 95th), whereas higher carbon dioxide emissions reduce life expectancy at birth across all the quantiles (5th to 95th).

The empirical findings conclude that governments should recognize their potential in renewable energy sources and devise policies such as tax-related regulations, or relevant incentives to encourage further investments in this field.

This paper in comparison to the other research studies used MMQR to investigate the impact of factors affecting life expectancy. Also, to the best of the authors’ knowledge, so far no study has investigated the impact of renewable energy on life expectancy in G-7 countries.

The consumption of animal-based food products faces several sustainability challenges. To date, however, meat intake plays an important role in everyday food choices. With their ability to change the opinions of a critical mass, opinion leaders in food choices are assumed to play a predominant role in influencing future dietary styles. Thus, the objective of this study was to identify opinion leaders in food choices and their personal meat consumption behaviour as well as their attitude towards policy interventions aiming to meat reduction.

The sample consisted of 1,479 German participants aged between 15 and 29 years who were online surveyed in autumn 2020. A latent profile analysis (LPA) identified three distinct groups of opinion leader in the younger generation labelled “non-opinion leaders”, “weak opinion leaders” and “opinion leaders”. The identified profiles were used to understand opinion leaders and their food choices by using chi-square tests as well as univariate ANOVA with Tukey or Games-Howell post hoc tests.

Opinion leadership in food choices was associated with a higher interest in meat-reduced dietary styles and with more positive attitudes towards innovative food ideas. Moreover, opinion leaders were associated with politicised food decisions, indicating that their food choices align with their political and social interests.

The results contribute to a better understanding of the development of future dietary styles, provide evidence for a shift towards more sustainable dietary patterns in the near future and highlight that food decisions are no longer solely decisions on an individual basis but rather becoming of political relevance.