An Analysis of the Relative Importance of Social, Educational and Environmental Expenditures on Life Expectancy at Birth. Evidence from Europe

Cervantes, Pedro Antonio Martín; López, Nuria Rueda; Rambaud, Salvador Cruz

doi:10.1007/978-3-030-69094-6_23

Cited by 2 publications

(2 citation statements)

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“…Similarly, life expectancy (Canudas‐Romo et al, 2016; M. Li et al, 2010) and the number of individuals using the internet (Huang, 2020; Yi et al, 2023) have been found to have a positive correlation with public opinion. The correlation between life expectancy and metrics of public opinion about water quantity related terms can be attributed to several factors such as socio‐economic status (Pu et al, 2022), level of education (Martín Cervantes et al, 2021), and political ideology (Mangaron et al, 2022). Mean precipitation has been found to affect public opinion, with areas experiencing drought having a negative impact on public opinion (Lee et al, 2019; Savari et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis

Shahabi‐Haghighi,

Hamidifar

2023

Hydrological Processes

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Effective drought monitoring is of paramount importance in hydrology. It aids in mitigating the detrimental effects of water scarcity, facilitates sustainable resource management, and informs policy decisions. Therefore, it is crucial to comprehensively comprehend the dynamics and trends of drought‐related phenomena. This study aims to explore the relationship between six low water quantity terms including drought, water crisis, water scarcity, water shortage, water stress, and water insecurity and some socio‐economic, geographic, and demographic parameters for different regions of the world and to predict the future trend of public interest in the mentioned terms using Long Short‐Term Memory neural network (LSTM) models. Google Trend data analysis was used to examine the public interest in these terms from 2017 to 2022. The LSTM models were trained using historical data on the studied terms, and their performance was evaluated using Root Mean Square Error (RMSE) indicator. The Google Trend data analysis showed that public interest in water shortage and water insecurity increased significantly from 2017 to 2022. The LSTM models showed promising results for predicting future trends in the mentioned water related issues, with RMSE scores (dimensionless) ranging from 0.04 to 0.43. The most significant socio‐economic, geographic and demographic parameters were found to be population, life expectancy, access to drinking water, and access to Internet while there was no correlation between precipitation and searched terms. The results suggest that LSTM models can be an effective tool for forecasting water related issues and emphasizes the importance of socio‐economic, geographic and demographic parameters in the public search behaviour around the world. The study also highlights the increasing public awareness of water related issues and the need for sustainable water management practices, particularly in regions with high water shortage and insecurity. The LSTM‐based prediction models in this study have practical applications in early warning systems for droughts, community education on water conservation, prioritizing vulnerable areas, assessing public perception of climate change's relation to droughts, and evaluating water policies. Further research is needed to improve the accuracy of these models incorporating the effective parameters and to develop effective strategies for managing water resources in regions facing water scarcity.

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Section: Introductionmentioning

confidence: 99%

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis

Shahabi‐Haghighi,

Hamidifar

2023

Hydrological Processes

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“…for Nigeria,Nkemgha et al (2021) for Cameroon, MartínCervantes et al (2021) for Europe andRadmehr and Adebayo (2022) for Mediterranean countries, which show that rise in health-care expenditure increases life expectancy. However, our results contradict withIgbinedion (2019) for Nigeria andRahman et al (2018) which demonstrate that better health care does not boost life expectancy in case of SAARC and Nigeria.…”

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confidence: 96%

The role of renewable energy on life expectancy: evidence from method of moments quantile regression based on G-7 countries data

Alavijeh

Shadmehri

Dehdar

et al. 2023

IJESM

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Purpose 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. Design/methodology/approach 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. Findings 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). Practical implications 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. Originality/value 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.

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An Analysis of the Relative Importance of Social, Educational and Environmental Expenditures on Life Expectancy at Birth. Evidence from Europe

Cited by 2 publications

References 66 publications

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis

The role of renewable energy on life expectancy: evidence from method of moments quantile regression based on G-7 countries data

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