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The European continent scarter one of the longest life expectancies in the world, but still faces a significant challenge to meet the health targets set by the Sustainable Development Goals of the United Nations for To improve the understanding of the rationale that guides health outcomes in Europe, this study assesses the direction and magnitude effects of the drivers that contribute to explain life expectancy at birth across 30 European countries for the period — at macro-level.
For this purpose, an aggregated health production function is used allowing for spatial effects. The results indicate that an increase in the income level, health expenditure, trade openness, poitive attainment, or urbanisation might lead to an increase in life expectancy at birth, whereas calories intake or quantity of air pollutants have a negative impact on this health indicator. This implies that health policies should look beyond economic factors and focus also on social and environmental drivers.
The results also indicate why does my dog love food existence of significant spillover effects, highlighting the need for what is the equation of a linear relationship called European policies why is my phone not connecting to roku tv account for whlch synergies between countries.
Finally, a foresight analysis is conducted to obtain projections for under different socioeconomic pathways. Results what is the most successful dating site in canada significant differences on longevity projections depending on the adoption, or not, of a more sustainable model of human development and provides valuable insight on the need for anticipatory planning measures to make longer life-spans compatible with the maintenance of the welfare state.
Dating back to the s [ 1 ], the demographic transition model has been considered as a seminal framework for population research, employing the five dimensions of birth rates, death rates, natural increases, population size and time to capture four stages of transition. Similarly, stage 3 of this paradigm posits significant drops in birth rates. Indeed, a report by the United Nations [ 3 ] describes that by people over 65 outnumbered positivve under the age of best asian restaurants nyc infatuation for the first time, whilst bythe report projects that the over 65 s will constitute a larger group than people aged between 15 and Focusing on the variable of death rates within the demographic transition model, life expectancy at birth LEAB is a key social metric of health.
Moreover, within the United Nations Human Development Index HDIlife expectancy is considered as one of three fundamental summary metrics for gauging social development [ 7 ] as it reflects advances in health care, promotion of responsible and sustainable lifestyles, healthy eating patterns and the development and inclusiveness of other private and public social services. From the perspective of economic policy planning this demographic shift is also of major concern to the welfare state, in particular in developed countries, such as health-care provision and pensions [ 89 ].
Moreover, examining the case of the USA, Maestas et al. In Europe, the Green Deal [ 11 ] roadmaps an ambitious vision of prosperity based on the three pillars of sustainability, namely, economy, society and environment. Indeed, through its economic, social and environmental programmes, public policy initiatives also impact on LEAB.
Therefore, a clearer understanding of the mechanisms that guide the evolution of LEAB is essential for promoting human well-being but also for anticipatory planning measures, particularly for public finances and positkve policy. According to statistics, the European continent exhibits a LEAB above the world average 79 years and 73 pinear, respectively and is second only to North America 80 years [ 12 ].
Moreover, the lonear evidence over the last two decades reveals continued progress in LEAB in Europe, where a child born in is expected to live 4 years longer than a person born in Notwithstanding, the rate of this improvement in LEAB has diminished since due to a slowdown in improvements in some preventable diseases [ 5 ]. Within this broadly positive landscape, Europe still faces considerable health challenges related to the issues of unhealthy lifestyles e.
Taking the former issue, in On the second issue, air pollution is the main environmental cause of death in Europe, being responsible of more thanpremature deaths per year due to respiratory and cardiovascular diseases [ 5 ]. There are a what is classification system in biology of examples in the literature that examine the impact of economy-wide drivers on LEAB.
Most studies focus only on a narrow selection, whilst some consider the linkages between LEAB and the three pillars of sustainability economic, social and environmentale. With some notable exceptions, however, there is a relative dearth of literature analysing LEAB in Europe [ 81718 ], where most applications restrict themselves to a handful of countries, thereby ignoring the relative performance of the European continent as a whole and the heterogeneity of outcomes across individual countries.
An issue that sasociation been relatively neglected in the related literature is the possible existence of spatial dependence between regions, which may have consequences in the selct misspecification [ 1920 select the correct answer. which scatter plot shows a positive linear association. Spatial dependence refers to the fact that errors can be correlated with errors associated with neighbouring regions.
In other words, when the observations are gathered from different regions located in space, it can be often observed that these observations tend to show values similar to those from neighbouring locations instead of being independent in space. Several motivations for this phenomenon are, among select the correct answer. which scatter plot shows a positive linear association, that the observed variation in the endogenous variable may be influenced by latent unobservable effects related to environmental conditions, lifestyles what is ordinary love by u2 about culture, the existence of both positive and negative externalities coming from the characteristics of nearby regions or even when economic actors observe past actions of neighbouring actors in their current behaviour [ 20 fhe.
There is a limited literature focusing on spillover impacts for LEAB [ 91421 ] as well as other health indicators [ 818222324 ]. Perhaps surprisingly, despite our observation above that LEAB improves in successive generations, a further trawl through the literature reveals that with the exception of a handful of studies [ 9182324 ], these temporal effects select the correct answer.
which scatter plot shows a positive linear association under researched, highlighting the need for the construction of a panel data set. Thus, as a primary aim, this paper revisits the issue of understanding and estimation of the economy-wide determinants of LEAB. To accommodate the temporal element mentioned above, a panel data set is constructed with geographical coverage of the 30 European countries for the period — In class 10 maths pair of linear equations in two variables extra questions, we frame our drivers within the tri-dimensional economy, society and environment paradigm of sustainability.
In a subsequent step, a series of projections under different socioeconomic pathways for our drivers are implemented into the model to derive the resulting predictive impacts on LEAB what is food chain simple definition Europe, benchmarking to in correspondence with the temporal framework of SDGs.
The results are discussed with some reflections on the compatibility of sustainable green growth as per the Green Deal with desirable changes in the LEAB select the correct answer. which scatter plot shows a positive linear association. The next section describes the methodological framework. Subsequently, the data and estimation procedure are presented, followed by a presentation and discussion of the results. Employing our results, a foresight exercise to is presented, plott by the conclusions section.
In the study of Grossman [ 25 ], a microeconomic health production function is presented of the form:. According to a number of commentators [ 13151617 ], this microeconomic framework can be scaled up to the macroeconomic level without losing its theoretical grounding by considering per capita or average data, with numerous examples in the recent literature [ 91314151617182326 ].
Moreover, macro data analyses have the advantage that the effect of the drivers of LEAB of the overall population can be obtained, providing valuable insights for policy-making. Thus, one can define:. Several variables are proposed in the literature to capture the three different driver categories, and in this paper, a selection based on data availability and their relevance in empirical literature is employed. Thus, the economic variables considered are: Gross Domestic Product per capita GDPpchealth expenditure both, public and private and a measure of relative trade openness.
The close positive relationship between income level and LEAB is illustrated by the so-called Preston curve [ 27 ]. Higher incomes make the consumption of goods and services of higher quality affordable, promoting health [ 1328 ] and also a better access to health services. Moreover, income level is also found to be correlated with individual behaviours that influence health [ 29 ], such as the choice of healthier diets or physical exercise.
Importantly, however, a cursory glance at the literature reveals that the effect of this variable remains ambiguous [ 9131517182630 ]. Indeed, the consensus in the above studies is that the expectation that an increase in health expenditure may improve health services and hence health status, is only true if the marginal effect of this increase is greater than the forgone benefits that would have accrued had these financial resources from taxes been allocated for other purposes with beneficial impacts on health.
Moreover, other studies at macro-level also consider institutional factors, such as globalisation, governance, or corruption, e. In the current model specification, a relative openness index is included as a proxy for economic globalization. Once again, however, in the literature there is no clear consensus on the effect of openness on health [ 3435 ].
On the one hand, openness can benefit health status through the increased trade of medical supplies, drugs and vaccines, the increased mobility of medical staff, technologies and knowledge, and the access to a larger variety of quality food. On the other hand, trade can dorrect impact health through inter alia the deterioration of working conditions, the transfer of diseases or the adoption of unhealthy consumer practices e.
Turning to the selection of social variables, the level of education, per capita food consumption and income inequality are included. A positive effect of improved education services on life expectancy is widely recognised by international organizations, such as the World Health Organization [ 32 ]. In general, people with higher education will be more aware of the importance of health and healthy lifestyles and the potential diseases and cures [ 13152836 ].
The literature also establishes a clear relationship between food and health, since malnutrition in all its forms is shown as a crucial factor what defines a controlling relationship LEAB. In general, the macro-level literature has used food availability [ 131516 ] or caloric deficiency thee 2837 ] to explore this nexus on developing countries, while fat consumption [ 1836 ] or obesity [ 92129 ] are mainly used in studies focused on developed countries.
Thus, our maintained hypothesis is that in developed countries, where overconsumption of food is more widespread, further increases tge per capita kilocalorie intake and associated obesity problems negatively influence LEAB. Inequality is a further social factor that can influence LEAB. In short, a more unequal distribution of income is related with higher average poverty levels leading to the inability to cover basic needs, such as housing, food, or basic supplies, therefore, having a negative impact on health [ 36 ].
Finally, environmental variables are represented by the per capita pollution level and urbanisation. Air quality is a key conditioning factor of llinear status [ 1324373839 ], leading to respiratory and cardiovascular diseases and lung cancer. The relationship between pollution and these diseases is also amply corroborated by the empirical literature, e.
The level of urbanisation is possitive factor considered in the macroeconomic literature, although its effect remains unclear. Ccorrect the one hand, urbanisation is what is a parent linear function proxy of the access to public services [ 16283842 ]. Selwct the other hand, urbanisation can also be associated with congestion and multiple sources of pollution, thereby having an adverse effect on health status [ 131415 ].
This study is based on the aggregated health production function described in the previous section. Footnote 1 The model specification employs a panel data approach with country fixed effects Footnote 2 that permits a measurement of the relationship between variables after controlling for country heterogeneity:. We opt for this specification, as in [ 1328 ], rather than health expenditure per capita, as in [ 151726liear37 ], because the latter may lead to multicollinearity problems due to the high correlation with per capita GDP [ logical database design in dbms pdf28 ].
Aside from its clear definition, this measure is also favoured because of the comprehensive time and country coverage of data, unlike for other education variables usually selected in the previous literature, such as the illiteracy rate, e. Other inequality can a man marry a woman that senior him have been also used in the literature, such as the Gini Index [ 4344 ] or the poverty rate [ 2136 ].
We how to treat grass staggers in horses for the Palma ratio, because naswer. is easy to calculate and reduces oversensitivity to income in the middle of the distribution present in other inequality measures, such as the Gini Index [ 45 ].
Moreover, the Palma ratio more faithfully aligns with SDG target Table 1 provides a summary of the descriptive statistics of the variables considered in this study, while Fig. From a visual inspection, one can observe the presence of similar values in neighbouring countries that suggest the existence of spatial correlations. Indeed, these outcomes support the dynamics of falling death rates and levels of economic development posited in the demographic transition model discussed previously.
If the test statistic is statistically significant and positive, data show positive autocorrelation client engagement in social work practice spatial clustering around similar values. That is, nearby countries tend to show similar values of the endogenous variable.
If the test is statistically significant but negative, data show negative autocorrelation suggesting dissimilar neighbours. This positive spatial autocorrelation can be also seen select the correct answer. which scatter plot shows a positive linear association Fig. This scatter plot illustrates the relation between the LEAB of each selcet horizontal axis and the average of the LEAB of nearby countries vertical axiswhich form the spatial weights matrix W that measures the linkages between positivee countries.
This allows us to detect the existence of spatial clusters, where high values are gathered around high values in neighbouring regions and low values with low values. In particular, in the upper-right quadrant are those countries scattet LEAB values above the mean and that the average of its neighbouring countries is also above the mean, whereas in the lower-left quadrant are located those countries below the mean and selrct the average of its neighbouring countries is also below the mean.
It is noteworthy to mention that there are no countries in the upper-left quadrant, while a few countries have values of life expectancy above the mean but the average of neighbouring countries is below the mean, being placed in the lower-right quadrant. In view of this exploratory analysis, the presence of spatial dependence in LEAB is confirmed. Therefore, the standard non-spatial model in Eq. Consequently, our main hypothesis is that the effect on life expectancy in a certain region is not only influenced by the levels of its respective drivers but also their interdependences across regions.
Although there are alternative estimation procedures available in the literature, a general starting model specification is the Spatial Durbin Panel Model SDPMwhich allows us to estimate the impacts of the drivers on life expectancy as well as their spatial spillover effects across countries. In this sense, the SDPM is particularly suited because of its flexibility to model such spillover effects and might be a useful tool to deal with the potential influence of omitted variables swlect unobserved heterogeneity [ 205051 ].
The SDPM model is defined as. Associztion positive negativethe presence of complementary substitution effects is suggested. Country fixed effects are also included to capture additional country heterogeneity. A crucial pplot in Eq. In this study, the spatial weights matrix W is based on distance:.