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P. 74

Global Health Economics and
            Sustainability
                                                                                      Climate change and quality of life



            Table 1. Independent variables (climate change)
            Variable                                  Definition               Scale   Type   Example  Control
            Methane emissions (kt of CO   2  Total weight of methane gas emission measured in kt of CO    Ratio  Numerical  16222  No
                                                                            2
            equivalent)               equivalent
            PM2.5 air pollution, mean exposure   Average concentration of particulate matter smaller than   Ratio  Numerical  52  No
            (micrograms per cubic meter)  2.5  microns in the air
            CO  emissions (metric tons per capita) Average emissions of CO  per person measured in metric tons Ratio  Numerical  0.6  No
              2                                       2
            Annual water withdrawals (% of   Percentage of country’s available water resources used per   Ratio  Numerical  1%  No
            internal resources)       year
            Country name              The name of a sovereign state or territory  Nominal Categorical  Bolivia  No
            Year                      Calendar year for which the data applies  Interval  Categorical  2015  No
            Inflation, consumer prices (annual %) Annual percentage change in the cost of goods and services  Interval  Numerical  3.2%  Yes
            Population total          Total number of people living in a specific area such as a   Ratio  Numerical  1246847  Yes
                                      country
            Access to electricity (% of population) Proportion of the population with access to electricity  Ratio  Numerical  95%  No



            Table 2. Dependent variables (quality of life)
            Variable                                          Definition                 Scale  Type  Example
                                                                                                        (%)
            School enrollment secondary (% net)  Percent of children enrolled in secondary education  Interval Numerical  77
            Unemployment, total (% of total labor force)  Proportion of the labor force that is jobless but seeking employment Interval Numerical  4.4
            GDP growth (annual %)          Yearly percentage increase in national economic output  Interval Numerical  1.8
            Mortality rate, under i (per 1,000 live births)  Annual deaths of children under five per 1000 live births  Interval Numerical  4
            Access to electricity (% of population)  Proportion of the population with access to electricity  Ratio  Numerical  95
            Immunization, measles (% of children aged   Proportion of children between 12 and 23 months who received the  Ratio  Numerical  88
            12 – 23 months)                measles vaccine
            Food production index (2014 – 2016=100)  Measuring food production relative to the base period 2014 – 2016  Interval Numerical  110
            Abbreviation: GDP: Gross domestic product.
            Excel (Microsoft Corporation, United States of America)   1983; Tukey, 1977). This approach is extremely useful in
            was utilized for reviewing and organizing the refined   comprehending  a  phenomenon  in-depth  (Keim,  2001;
            dataset, reducing the number of variables to a relevant and   Keim et al., 2008; Kohlhammer et al., 2011; Raghupathi &
            manageable number. On this dataset, Tableau (Salesforce   Raghupathi, 2020; Thomas & Cook, 2005). Visualization
            Inc., United States of America), a visualization tool, was   provides a solution for the issue of information overload
            utilized primarily to develop a series of interactive charts,   by transforming and presenting key highlights that can be
            applying the method of visual analytics to illustrate the   used for insightful decisions (Keim, 2001; Thomas & Cook,
            relationships between multiple variables.          2005; Wong & Thomas, 2004). Descriptive analytics is a
                                                               data-driven approach that analyzes data as-is with no pre-
            3.4. Visual analytics                              conceived notions (Kohlhammer et al., 2011; Thomas &

            The current study  is empirical and data-driven and   Cook, 2005). Information is presented using visual graphs
            utilizes descriptive analytics as the visualization approach   and charts, adopting the techniques of categorization,
            (Börner  et al., 2019; Sun  et al., 2013) to obtain insight   characterization, and aggregation (Raghupathi  et al.,
            into climate change and quality of life. As an analytic   2023). The following section discusses the results of the
            approach, visualization facilitates the analysis of large   analyses.
            data sets in real-time (Keim, 2001; Keim  et al., 2008;
            Kohlhammer et al., 2011; Raghupathi & Raghupathi, 2020;   4. Results and analysis
            Thomas & Cook, 2005; Wong & Thomas, 2004), enabling   The series of charts below collectively provide a descriptive
            identification of new patterns and insights (Kohlhammer   story of the association between climate change and quality
            et al., 2011; Thomas & Cook, 2005, Tufte & Graves-Morris,   of life.


            Volume 3 Issue 2 (2025)                         66                       https://doi.org/10.36922/ghes.5018
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