Dataset Information

Interactions between Financial and Environmental Networks in OECD Countries.

ABSTRACT: We analysed a multiplex of financial and environmental networks between OECD countries from 2002 to 2010. Foreign direct investments and portfolio investment showing the flows in equity securities, short-term, long-term and total debt, these securities represent the financial layers; emissions of NOx, PM10, SO2, CO2 equivalent and the water footprint associated with international trade represent the environmental layers. We present a new measure of cross-layer correlations between flows in different layers based on reciprocity. For the assessment of results, we implement a null model for this measure based on the exponential random graph theory. We find that short-term financial flows are more correlated with environmental flows than long-term investments. Moreover, the correlations between reverse financial and environmental flows (i.e. the flows of different layers going in opposite directions) are generally stronger than correlations between synergic flows (flows going in the same direction). This suggests a trade-off between financial and environmental layers, where, more financialised countries display higher correlations between outgoing financial flows and incoming environmental flows than from lower financialised countries. Five countries are identified as hubs in this finance-environment multiplex: The United States, France, Germany, Belgium-Luxembourg and United Kingdom.

SUBMITTER: Ruzzenenti F

PROVIDER: S-EPMC4573761 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Interactions between Financial and Environmental Networks in OECD Countries.

Ruzzenenti Franco F Joseph Andreas A Ticci Elisa E Vozzella Pietro P Gabbi Giampaolo G

PloS one 20150916 9

We analysed a multiplex of financial and environmental networks between OECD countries from 2002 to 2010. Foreign direct investments and portfolio investment showing the flows in equity securities, short-term, long-term and total debt, these securities represent the financial layers; emissions of NOx, PM10, SO2, CO2 equivalent and the water footprint associated with international trade represent the environmental layers. We present a new measure of cross-layer correlations between flows in diffe ...[more]

PMID: 26375393

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Project description:ObjectivesThe burden of childhood obesity is clustered among children in low-socioeconomic groups. Social spending on children-public welfare expenditure on families and education-may curb childhood obesity by reducing socioeconomic disadvantages. The objective of this study was to examine the relationship between social spending on children and childhood obesity across the Organisation for Economic Cooperation and Development (OECD) countries.DesignEcological study.SettingData on social spending on children were obtained from the OECD Social Expenditure Database and the OECD educational finance indicators dataset during 2000-2015. Data on childhood obesity were obtained from the NCD Risk Factor Collaboration database.ParticipantsAggregated statistics on obesity among children aged 5-19 years, estimated for OECD 35 countries based on the measured height and weight on 31.5 million children.Outcome measuresCountry-level prevalence of obesity among children aged 5-19 years.ResultsIn cross-sectional analyses in 2015, social spending on children was inversely associated with the prevalence of childhood obesity after adjusting for potential confounders (the gross domestic product per capita, unemployment rate, poverty rate, percentage of children aged <20 years and prevalence of childhood obesity in 2000). In addition, when we focused on changes from 2000 to 2015, an average annual increase of US$100 in social spending per child was associated with a decrease in childhood obesity by 0.6 percentage points for girls (p=0.007) and 0.7 percentage points for boys (p=0.04) between 2000 and 2015, after adjusting for the potential confounders. The dimensions of social spending that contributed to these associations between the changes in social spending on children and childhood obesity were early childhood education and care (ECEC) and school education for girls and ECEC for boys.ConclusionCountries that increase social spending on children tend to experience smaller increases in childhood obesity.

Project description:ObjectivesRecent studies have demonstrated worsened mental health in relatively highly developed countries impacted by social inequalities and unemployment. Here, we investigate (1) whether mental health issues are differently or similarly affected by these social factors and (2) whether their effects on mental health are related or unrelated to each other.SettingAnalysis at the country level among Organization for Economic Cooperation and Development (OECD) countries (n=36). Data on social indicators were collected from OECD and the United Nations Development Programme databases. Data on the prevalence of mental issues were obtained from the Institute for Health Metrics and Evaluation's Global Burden of Disease study 2017.ParticipantsNo involvement of participants.Primary and secondary outcome measuresUsing linear regression models, we investigated the relative contribution played by human development (as measured by the Human Development Index (HDI)), social inequalities (Gini index) and unemployment (unemployment rate) on the prevalence of 10 mental health issues. We then measured the relationship between the socioeconomic factors' effects on mental issues using 2×2 Pearson's correlation test and principal component analysis.ResultsFirst, the overall effect of each socioeconomic factor on a combination of mental health disorders was large (r range: 0.51 to 0.76; p<0.002). However, the influence of social factors on mental health was relative to each mental issue (r range: -0.34 to 0.74). Second, the socioeconomic factors' effects on mental health showed strong interdependence (rHDI-Gini=0.93, rHDI-unemploy=0.81, runemploy-Gini=0.84; p<0.001. Principal component analysis demonstrated that the first principal component of the three variables (rHDI, rGini, runemploy) explained 91.5% of the variance.ConclusionThese results implore a reanalysis of the socioeconomic determinants of mental health where (1) the heterogeneity of mental health issues would be taken into account and (2) each socioeconomic indicator's effect would be analysed and interpreted in conjunction with the others.

Dataset Information

Interactions between Financial and Environmental Networks in OECD Countries.

Publications

Interactions between Financial and Environmental Networks in OECD Countries.

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