Effective Management Tools for Solving the Problem of Poverty in Relation to Food Waste in Context of Integrated Management of Energy

: Globally, millions of people suffer from poverty. This paper discusses the problem of poverty especially in relation to food waste. The prevention of food waste can also contribute to global poverty reduction, and the reduction of food waste is a tool for sustainable growth and competitiveness. At present, the number of people at risk of poverty and the amount of food waste are increasing at unsustainable rates. An integrated and efﬁcient tool for the management of food, energy, and water (FEW) resources to improve FEW security via an interdisciplinary approach could help address several of the most signiﬁcant global challenges, such as climate change, and economic, environmental, and social security. The aim of this study was to examine the relationship between the existence of poverty and the treatment of food for sustainable growth. The analysis focused on the EU countries and the main data source was the Eurostat database. Households generally create the largest proportion of food waste. Pareto analysis shows that in households, food and non-alcoholic beverages are among the ﬁrst group of expenses, and in the EU countries they represent approximately 12% of the total expenses. Food and non-alcoholic beverages are a stable, unavoidable, and non-negligible element of total expenses. Paradoxically, enormous amounts of food are wasted. A relatively weak inversely proportional relationship between the amount of food waste per capita and the proportion of the population at risk of poverty among the total population of EU countries was identiﬁed through correlational analysis. A very weak relationship between the share of the population at risk of poverty in the total population and the amount of food waste per capita, excluding the population at risk of poverty, was also found.


Introduction
The global economy appears likely to enter a recession, mainly due to the COVID-19 pandemic. Due to the pandemic, most countries are in lockdown; as a result, most food is currently being consumed within households. This situation is of benefit to farmers and retailers, who are attempting to respond effectively to changing demands and to meet consumers' needs [1].
It is therefore evident that there are many approaches to defining poverty, and that it is not possible to develop a generally accepted definition. However, most of the commonly used definitions of poverty have two common elements, namely, the welfare indicator and the setting of the poverty line. Frequently used welfare indicators include income, consumption and food consumption, the share of food expenditure in total expenditure, caloric intake, health service consumption, and fulfillment of basic needs. The poverty line can be seen as a dividing point that divides individuals into the poor (the individual's wellbeing does not exceed the poverty line) and the not poor (the poverty line is exceeded) [31].
Previous authors [32][33][34][35][36] have stated that the feeling of poverty affects the perception of well-being and can contribute to the reduction of consumption regardless of the actual household income. Uncertainty about future household income can reduce current consumption levels and increase the feeling of poverty in risk-affected households, which are characterized by precarious employment situations and frequent changes.
Considering the facts mentioned above, we approached this phenomenon via managerial tools and statistically evaluated the collected data. We primarily focused on the problem of food waste as one of the welfare indicators. The main goal of the research was to examine the relationship between the existence of poverty and food management using Pareto and correlation analyses. The choice of these tools is explained in the methodological section of the paper. We formulated the following research questions: (RQ1) How important is food expenditure in household expenditure? (RQ2) Is food waste in countries related to the number of people at risk of poverty? Our aim was also to examine the relationship between the percentage of the total population at risk of poverty and the amount of food waste per capita, excluding the population at risk of poverty [37,38].
Relatively little research has been undertaken regarding current food waste. The aim of our study was to contribute to the expansion of this issue, because it has become increasingly relevant, particularly during the current pandemic period. Consumers have realized the importance of food security and the prevention of food waste. Thus, the present study represents an opportunity to fill gaps in the research related to food waste and the overall food security of the population.
This article is divided into sections. The first section consists of a literature search, which we undertook using the available professional publications and studies carried out by domestic and foreign authors. In this part of the study, we relied mainly on indexed citation databases.
In the second section, we describe the methodology and methods used to examine the research related to food waste.
The third section of this article presents the results of our research and a related discussion. The research questions established in this study were statistically verified, and the obtained results are compared with those of existing studies.
In the final section, we present a summary of our research, limitations of the study research, and our future research interests.

Theoretical Background
The author of [39] states that poverty is understood to be a situation in which a person's basic functioning is affected by their difficult circumstances, and their opportunities for a better life are considerably limited. Poverty and social exclusion are closely linked, and affect the social relationships of the individual within society. Poverty is defined in economic and material terms, and is a multidimensional construct in relation to the different characteristics of the poor [40]. The Economic Cooperation and Development Committee (OECD) has issued guidelines on poverty reduction and established a Development Assistance Committee (DAC) [41]. The document has been periodically updated to reflect changing factors, and the current DAC document reflects the problems caused by the current pandemic [42]. This committee defines poverty as a situation without economic, human, protective, political and socio-cultural capacities.
Poverty varies depending on the country, region, or group of people being compared.
Poverty is one of the most significant current global challenges, and addressing this problem is an important consideration in several strategic documents. Bringing an end to poverty is the first topic of the UN 2030 Agenda for Sustainable Development, and the fight against poverty and social exclusion is one of the European Union's main objectives, as expressed in the Europe 2020 strategy [43].
Food waste is a global problem. Although most consumers are opposed to food waste, significant food waste takes place [44,45]. The authors of [46] focus on the factors that prevent waste. Empirical data reveal factors that have a significant impact on food and waste prevention practices. The first, "individual/interpersonal interest", has a strong relationship with these routines, whereas the second, "global interest", has no significant relationship with them. For policy makers and managers seeking to reduce food waste at the household level, this research provides recommendations that influence food waste behavior through individual and interpersonal factors (such as economic problems, the importance of food, and education in food areas).
The author of [47] states that food waste threatens food security, and that research programs must be established by researchers from developed and developing countries to help contribute to food recycling and food security.
The attitudes and behavior of the population towards food waste have changed as a result of the COVID-19 pandemic. Residents are trying to use food more efficiently due to the pandemic, which may occur again [48].
In an existing study [49], the authors conducted research on food waste. Although the results showed an increase in overall food purchases and a slight decrease in the generation of food waste due to the pandemic, the links between these results and basic behavior were complex. For example, reduced food waste from households was significantly correlated with an increase in behaviors such as meal planning, food preservation, and the use of food scraps and storage-stable products. Conversely, self-sufficiency behavior, including bulk purchasing and stockpiling, was significantly correlated with increased food purchases, which in turn led to increased waste.
Food waste is a significant problem for humanity. Approximately one-third of all food produced for human consumption is lost. Food waste can not only contaminate large quantities of fresh water and soil, and require a large amount of labor, but it is also detrimental to the environment and the climate. The greatest impact of food waste in developed countries is on infrastructure; however, in developing countries, this impact is on consumer levels. Reducing food waste can reduce global greenhouse gas emissions [50,51].
Food waste is one of the most significant global environmental problems. Waste and losses are generated at each stage of the food supply chain. Several waste management methods have been developed for the disposal of food waste, but these involve a number of challenges, such as high costs, the formation of toxic by-products, and environmental pollution. The problem of food waste has recently attracted increased interest, leading to the development of new products as potentially sustainable and environmentally friendly solutions [52][53][54].
The objective concept of poverty seeks to define poverty through factors that do not depend on the personal opinion and feelings of the individual. It is based on analyses of socio-economic information relating to households or sets of households [55]. Food systems, and their resources, structures, and policies that enable food to travel from farms to consumers, have been destroyed and will take a long time to recover [56].

Poverty in the European Union
In the EU, the issue of poverty also encompasses problems related to inequality of people and their access to various social goods [57,58]. In the European Union, people whose equivalent disposable income is below 60% of the national median equivalent income, or who are materially disadvantaged, are considered to have severely reduced living conditions and are at risk of material deprivation. As a result, they cannot afford at least four of nine items-payment of rent, mortgage, or electricity expenses; maintenance of Energies 2021, 14, 4245 5 of 18 household warmth; unexpected expenses; consumption of meat, fish, or equivalent proteins every other day; weekly vacation away from home; car ownership; washing machine; phone; or color television. The final group at risk of poverty comprises households with very low labor intensity. Information published by Eurostat showed that in 2017, 22.4% of the population, or 112.974 million people, were at risk of poverty or social exclusion in the EU. The level of risk of this poverty varied between EU countries, ranging from 12.2% (Czech Republic) to 38.9% (Bulgaria). In Slovakia, this rate was 16.3%, which was among the lower-ranked countries. The manifestations of poverty that affect people, particularly in developed countries such as those of the EU, are manifold and largely related to social exclusion.
As stated by [59], poverty is no longer a problem of only Third World countries because all countries can admit to the existence of poor individuals and families. That said, in Slovakia, the home nation of the authors, the concept of poverty does not have a comprehensive legal definition. Within the consciousness of society, terms such as socially disadvantaged individuals, low-income households, and people living in material deprivation, can be considered to be synonyms for populations affected by poverty.
As part of the analysis of poverty in Slovakia, the authors present data from the Statistical Office of the Slovak Republic. The annual poverty line in Slovakia in 2017, which was set by the EU at 60% of the median national equivalent disposable income, was calculated to be EUR 4310 for a one-member household and EUR 9051 for a household with two adults and two children. Within the household category, the most at-risk are one-member households with a person under 65 years old without dependent children (25.8%) and single-parent households with at least one dependent child (37.3%). According to the status of economic activity, the risk of poverty in non-working people is up to 2.6 times higher than that of working people. Poverty, as mentioned above, has entered the official documents and guidelines of the social policies of the EU Member States as an object of intervention. Poverty can be examined from several perspectives. One of the challenges is the view of poverty in connection with food waste. The OECD has issued a waste hierarchy that provides guidance on how to reduce, recycle, and reuse foods that have fallen out of the food chain [60].

Materials and Methods
Food waste occurs at every stage of the food supply chain. This is not only confined to food that is not sold by shops, consumed by restaurants, or sold by producers (for example, due to poor storage). The most significant problem does not relate to retail chains or catering establishments, because households make the greatest contribution to the production of food waste. This remains a global problem, for which a solution is increasingly needed. Therefore, the main goal of the research was to examine, using managerial tools, the relationship between the existence of poverty and food waste.
Based on this, we formulated the following research questions: RQ1: How important is food expenditure in household expenditure? RQ2: Is food waste in countries related to the number of people at risk of poverty?
To elaborate the subject matter and determine answers to these research questions, we used general methods (analysis, synthesis, and comparison), and the managerial tools and methods of one-dimensional and two-dimensional descriptive statistics.
As a managerial tool, Pareto analysis can be used to analyze gaps and potential opportunities for poverty reduction. A Pareto diagram is a method applied to one-dimensional descriptive statistics in the form of a bar graph to express the frequency of discrete nonnumeric data. It allows the impact of individual input factors on the monitored parameter to be determined, and helps efforts for improvement to be targeted appropriately. We analyzed household expenditure and identified the groups of products or services that account for the largest share of this expenditure. This analysis drew attention to a major current phenomenon-food waste as a causes of poverty-and we examined whether food expenditure is one of the major groups of total household expenditure. We used the Pareto Energies 2021, 14, 4245 6 of 18 80:20 principle to divide household expenditure into groups. The Pareto diagram was supplemented by the Lorenz cumulative curve. In the current study, this curve expresses the cumulative significance of household expenditure up to 80%, and we considered all categories listed to the left of this point to be significant. The main data source was Eurostat data on household expenditure in the countries of the EU in 2017.
Correlation analysis is a method of two-dimensional descriptive statistics that is used to examine the relationship between two variables. The strength or tightness of the linear dependence of two variables is represented by the correlation coefficient. The result is a value within the interval <−1,1>, where the sign indicates the direction of the dependence (a positive sign represents a direct dependence and a negative sign represents an indirect dependence). The dependence is considered to be stronger the closer the obtained absolute value is to 1. Based on the Pearson correlation coefficient, we identified the degree of dependence of the population at risk of poverty on the amount of food waste in the EU, assuming that the values representing the number of people at risk of poverty and the amount of food waste come from a normal probability distribution. First, we examined the dependence of the population at risk of poverty on the total amount of food waste. Results of greater informative value were provided by the study of the dependence between the amount of food waste per capita and the percentage of the population at risk of poverty in the total population of individual countries. To illustrate the situation, we also examined the relationship between the percentage of the population at risk of poverty in the total population and the amount of food waste per capita, excluding the population at risk of poverty. As a first step in determining the dependence between the two rows of values, we used a scatterplot, and we interpolated this dependence with a straight line. The data for the calculation of dependencies were taken from Eurostat databases. These data present the state of food waste in 2012, when the study on the amount of food waste was undertaken for the first time. This study collected and, for the first time, provided comprehensive data on the amount of food waste in Europe. The values presenting the number of people at risk of poverty in these countries were also taken from 2012 for the sake of comparability.

Results and Discussion
This section includes an analysis aimed at finding answers to research questions resulting from the stated objective. Briefly, RQ1 refers to the determination of the importance of food expenditure in total household expenditure. RQ2 refers to the determination of the relationship between food waste and the number of people at risk of poverty.

Pareto Analysis
Food waste is closely related to the amount of food that individual entities purchase or produce. Because households account for the largest percentage of total food waste we monitored the expenditure of this particular entity with the intention of identifying the share of expenditure on food and non-alcoholic beverages in total expenditure. Household expenditure is significantly influenced by state policy. The share of expenditure on nonessential goods and services also illustrates the overall standard of living in society. Table 1 shows the purposes of spending by European households in 2017. The total household expenditure in 2017, which amounted to EUR 8,362,260.4, was used for various groups of goods or services.  Table 1 shows that, for 2017, the first group of expenditure consists of housing costs, transport, food and non-alcoholic beverages, miscellaneous goods and services, restaurants and hotels, and recreation and culture; this group represents 50% of all items, but represents 78.1% in terms of the total amount of expenditure.
Based on Figure 1, 78.10% of household expenditure is caused by only 50% of items that relate to this expenditure. In our case, in particular, 78.10% of the household expenditure arises as a result of expenditure on housing, water, electricity, gas and other fuels, transport, food and non-alcoholic beverages, miscellaneous goods and services, restaurants and hotels, and recreation and culture.
The percentage of household expenditure does not change significantly from year to year. To illustrate this observation, in 2016, within the first group, household expenditure on housing, water, electricity, gas and other fuels represented 24.5%, transport 12.9%, food and non-alcoholic beverages 12.2%, miscellaneous goods and services 11.5%, restaurants and hotels 8.6%, and recreation and culture 8.5%. In total, the first group of items represented 78.2% of household expenditure [62].
In 2018, within the first group, household expenditure on housing, water, electricity, gas, and other fuels represented 24.0%, transport 13.2%, food and non-alcoholic beverages 12.1%, miscellaneous goods and services 11.4%, restaurants and hotels 8.7%, and recreation and culture 9.1%. In total, the first group of items in 2018 represented 78.5% of household expenditure [62].
When comparing the data for 2017 with the previous and subsequent years, it can be seen that these are comparable values both within individual items, and cumulatively. The first groups of expenditure items in the analyzed years represented 50% of all items and, in terms of total expenditure, represented 78.2% in 2016, 78.1% in 2017, and 78.5% in 2018. Based on the results of individual years, we can state that a significant portion of European household expenditure is absorbed by only half of the group of items representing household expenditure.
As mentioned above, the first group, which affects a large proportion of household expenditure, also includes expenditure on food and non-alcoholic beverages. During the three years that were analyzed, household expenditure on food and non-alcoholic beverages in countries of the EU represented 12.2% of total household expenditure in 2017, 12.2% in 2016, and 12.1% in 2018. However, the share of expenditure on food and non-alcoholic beverages varies from country to country. Figure 2 therefore presents the amount of expenditure that households in the individual European countries spend on food and non-alcoholic beverages. The data are presented as a percentage of expenditure within the total amount of household expenditure. three years that were analyzed, household expenditure on food and non-alcoholic beverages in countries of the EU represented 12.2% of total household expenditure in 2017, 12.2% in 2016, and 12.1% in 2018. However, the share of expenditure on food and non-alcoholic beverages varies from country to country. Figure 2 therefore presents the amount of expenditure that households in the individual European countries spend on food and non-alcoholic beverages. The data are presented as a percentage of expenditure within the total amount of household expenditure. It can be said that the structure of private consumption is one of the relative measures of a population's living standards. However, the largest share of household expenditure is represented by expenditure on food and non-alcoholic beverages, and this share is particularly high in the countries that are among the "poorer" countries within the EU. This is also indicated by a comparison of household expenditure on food and non-alcoholic beverages in the EU in 2016, 2017, and 2018 ( Figure 2), from which it is clear that the highest shares of expenditure on food and non-alcoholic beverages during these years were observed in Romania, Lithuania, and Estonia. On the contrary, the lowest shares of expenditure on food and non-alcoholic beverages were observed in the United Kingdom, Luxembourg, and Austria.
Although the overall structure of household expenditure may change in individual periods and for various reasons, expenditure on food and non-alcoholic beverages rep-  It can be said that the structure of private consumption is one of the relative measures of a population's living standards. However, the largest share of household expenditure is represented by expenditure on food and non-alcoholic beverages, and this share is particularly high in the countries that are among the "poorer" countries within the EU. This is also indicated by a comparison of household expenditure on food and non-alcoholic beverages in the EU in 2016, 2017, and 2018 (Figure 2), from which it is clear that the highest shares of expenditure on food and non-alcoholic beverages during these years were observed in Romania, Lithuania, and Estonia. On the contrary, the lowest shares of expenditure on food and non-alcoholic beverages were observed in the United Kingdom, Luxembourg, and Austria.
Although the overall structure of household expenditure may change in individual periods and for various reasons, expenditure on food and non-alcoholic beverages represents the necessary expenditure of each household. Based on the facts above, it can be stated in relation to RQ1 that expenditure on food and non-alcoholic beverages is a stable item within the structure of household expenditure, and belongs to the group that significantly absorbs total household expenditure. resents the necessary expenditure of each household. Based on the facts above, it can be stated in relation to RQ1 that expenditure on food and non-alcoholic beverages is a stable item within the structure of household expenditure, and belongs to the group that significantly absorbs total household expenditure.
Note: Data for Ireland not available; data for Greece in 2018 not available

Correlation Analysis
Although food expenditure is a significant item of total expenditure, statistics indicate that enormous wastage of food takes place. However, this problem is not limited to households. The reasons for food waste vary according to the position in the supply chain. Business entities (producers, processors, retailers) make decisions to maximize profits, which often means wasting food, despite not aiming to generate food waste. By comparison, consumers have reasons other than achieving satisfaction, either in terms of meeting their nutritional needs or in other respects (quantity, surplus, price) [63]. cate that enormous wastage of food takes place. However, this problem is not limited to households. The reasons for food waste vary according to the position in the supply chain. Business entities (producers, processors, retailers) make decisions to maximize profits, which often means wasting food, despite not aiming to generate food waste. By comparison, consumers have reasons other than achieving satisfaction, either in terms of meeting their nutritional needs or in other respects (quantity, surplus, price) [63]. Figure 3, therefore, shows the percentage share of individual actors in the supply chain (producers, processors, wholesale and retail, food services, households) in relation to the total amount of food waste in 2012. Further analysis is based on data for this year. Food waste is also partially influenced by lifestyle. Current lifestyles remain a threat, thus providing justification for addressing the problem of food waste. Similarly, the conclusions of FUSIONS (2016) suggest that there is a relationship between food waste and poverty. In our study, we examined the relationship between the existence of the phenomenon of poverty and food waste. Table 2 presents the values of the variables that were used to examine the individual relationships.   Food waste is also partially influenced by lifestyle. Current lifestyles remain a threat, thus providing justification for addressing the problem of food waste. Similarly, the conclusions of FUSIONS (2016) suggest that there is a relationship between food waste and poverty. In our study, we examined the relationship between the existence of the phenomenon of poverty and food waste. Table 2 presents the values of the variables that were used to examine the individual relationships.  First, we assessed the dependence of the population at risk of poverty on the total amount of food waste, as shown in Figure 4. The value of the Pearson correlation coefficient in this case is 0.868. On this basis, it can only be stated that, in countries with a higher number of people at risk of poverty, the amount of food waste is also growing. It should also be noted, however, that our analysis is based on absolute numbers (people at risk of poverty in thousands and food waste in thousands kg) and, therefore, the high number of people at risk of poverty is naturally proportional to the population of each country (the greater the population, the greater the number of people at risk of poverty). Based on this finding, no conclusions can be drawn that would be relevant to tackling poverty. First, we assessed the dependence of the population at risk of poverty on the total amount of food waste, as shown in Figure 4. The value of the Pearson correlation coefficient in this case is 0.868. On this basis, it can only be stated that, in countries with a higher number of people at risk of poverty, the amount of food waste is also growing. It should also be noted, however, that our analysis is based on absolute numbers (people at risk of poverty in thousands and food waste in thousands kg) and, therefore, the high number of people at risk of poverty is naturally proportional to the population of each country (the greater the population, the greater the number of people at risk of poverty). Based on this finding, no conclusions can be drawn that would be relevant to tackling poverty. For a more objective analysis of the data, the amount of food waste per capita of each country was calculated. In addition, the share of the population at risk of poverty in the total population of the countries was expressed as a percentage. Subsequently, the relationship between these two variables was examined, as shown in Figure 5. The value of the Pearson correlation coefficient in this case is −0.252. It is therefore an inversely proportional relationship, although with a relatively low correlation. We can state that in the For a more objective analysis of the data, the amount of food waste per capita of each country was calculated. In addition, the share of the population at risk of poverty in the total population of the countries was expressed as a percentage. Subsequently, the relationship between these two variables was examined, as shown in Figure 5. The value of the Pearson correlation coefficient in this case is −0.252. It is therefore an inversely proportional relationship, although with a relatively low correlation. We can state that in the countries with a larger amount of food waste per capita, there is a lower share of the population at risk of poverty in the total population. We can assume that a larger amount of food waste per capita (e.g., Belgium 343 kg/per capita and the Netherlands 539 kg/per capita) is related to a higher standard of living in the country, and this is reflected in a lower share of the population at risk of poverty in the total population (e.g., Belgium 21.15% and the Netherlands 14.85%, as can be seen in Table 2). On the contrary, less food waste per capita may be associated with a lower standard of living, which is reflected in a higher share of the total population at risk of poverty (e.g., Bulgaria with food waste 106 kg/per capita and 49.71% of the population at risk of poverty, or Greece with food waste 81 kg/per capita and 34.49% of the population at risk of poverty, as can be seen in Table 2).
higher share of the total population at risk of poverty (e.g., Bulgaria with food wa kg/per capita and 49.71% of the population at risk of poverty, or Greece with food 81 kg/per capita and 34.49% of the population at risk of poverty, as can be seen in 2).
In the industrialized countries, significantly more food is wasted per capita t developing countries. According to [66Error! Reference source not found.], food per capita in Europe and North America is 95-115 kg/year. In developing count sub-Saharan Africa and South-East Asia, food waste per capita is only 6-11 kg/yea However, this is not the case in general. In our case, for example, countries ex have a lower percentage of the population at risk of poverty and that are, simultane among the countries with the lowest amounts of food waste per capita. These a Czech Republic, with 81 kg of food waste per capita and 15.02% of the population of poverty; Denmark, with 145 kg of food waste per capita and 17.22% of the popu at risk of poverty; and Germany, with 149 kg of food waste per capita and 19.76% population at risk of poverty (as shown in Table 2). For this reason, the negative c tion coefficient is relatively low. This means that the phenomenon of poverty is a complex problem and depends on a number of other factors. Tackling this probl reducing food waste is not simple and requires a transnational perspective (count which a large amount of food is wasted per capita could help by transporting this f other countries in which the percentage of the population at risk of poverty is high It can also be assumed that food waste does not involve the population at poverty, but only the remainder of the population. Therefore, the relationship be the share of the population at risk of poverty in the total population and the amo food waste per capita, excluding the population at risk of poverty, was determin shown in Figure 6. The value of the Pearson correlation coefficient in this case is  In the industrialized countries, significantly more food is wasted per capita than in developing countries. According to [66], food waste per capita in Europe and North America is 95-115 kg/year. In developing countries in sub-Saharan Africa and South-East Asia, food waste per capita is only 6-11 kg/year. However, this is not the case in general. In our case, for example, countries exist that have a lower percentage of the population at risk of poverty and that are, simultaneously, among the countries with the lowest amounts of food waste per capita. These are the Czech Republic, with 81 kg of food waste per capita and 15.02% of the population at risk of poverty; Denmark, with 145 kg of food waste per capita and 17.22% of the population at risk of poverty; and Germany, with 149 kg of food waste per capita and 19.76% of the population at risk of poverty (as shown in Table 2). For this reason, the negative correlation coefficient is relatively low. This means that the phenomenon of poverty is a highly complex problem and depends on a number of other factors. Tackling this problem by reducing food waste is not simple and requires a transnational perspective (countries in which a large amount of food is wasted per capita could help by transporting this food to other countries in which the percentage of the population at risk of poverty is higher).
It can also be assumed that food waste does not involve the population at risk of poverty, but only the remainder of the population. Therefore, the relationship between the share of the population at risk of poverty in the total population and the amount of food waste per capita, excluding the population at risk of poverty, was determined, as shown in Figure 6. The value of the Pearson correlation coefficient in this case is −0.032. There is a very weak relationship between these two variables. Thus, in each country, the amount of food waste per capita, excluding the population at risk of poverty, is not related to the percentage of the population at risk of poverty. This may indicate that the presence of people at risk of poverty in individual countries and regions is linked to other factors. However, this does not mean that food waste, particularly in countries with a higher standard of living, does not need to be eliminated. This shows the importance of examining means of reducing food waste in one country (region) that can help tackle poverty in other countries (regions).
Energies 2021, 14, x FOR PEER REVIEW 1 There is a very weak relationship between these two variables. Thus, in each countr amount of food waste per capita, excluding the population at risk of poverty, is n lated to the percentage of the population at risk of poverty. This may indicate th presence of people at risk of poverty in individual countries and regions is linked to factors. However, this does not mean that food waste, particularly in countries w higher standard of living, does not need to be eliminated. This shows the importan examining means of reducing food waste in one country (region) that can help poverty in other countries (regions). Efforts to prevent food waste can also contribute to global poverty reduction. B on the results above, it can be stated in relation to RQ2 that there is a connection bet the amount of food waste and the number of people at risk of poverty; however, be this is an indirect connection, the issue is more complicated.
In addition to the moral, economic, social, and environmental dimensions of t forts undertaken to prevent food waste, it is important to mention, as an exam finding of the Dutch bank Rabobank. According to the Champions 12.3 research, 9 companies that have invested in food waste prevention have achieved a positive r on investment, and half of the 1200 companies that participated in the research ach a return on investment of 1400% or higher. The companies that achieved the highes of return were mainly restaurants, hotels, catering companies, and food retailers. companies recorded revenues ranging from 5% to 10% [67,68].
As previously mentioned, 88 million tonnes of food worth EUR 143 billio thrown away in the EU each year. The countries of the EU should reduce food was 30% before 2020 and by 50% before 2030. The goal of reducing food waste by half i of the "Circular Economy Package" presented by the European Commission as a to sustainable growth. To make this goal binding on the Member States, it must be p by the European Parliament and be approved by the Ministers of Environment of a Member States [69].
Slovakia is lagging regarding the issue of food waste prevention. However, va strategies have been adopted to improve this situation. The Waste Prevention Progr the Slovak Republic for the years 2019-2025, and the Environmental Strategy 203 dress this issue in more detail. An activist from the civic association Free Food (wh involved with addressing the issue of food waste) also notes that this issue is pai attention than numerous other environmental issues, such as slow fashion, eco d waste sorting, plastics, biodiversity loss, and deforestation. The problem of food Efforts to prevent food waste can also contribute to global poverty reduction. Based on the results above, it can be stated in relation to RQ2 that there is a connection between the amount of food waste and the number of people at risk of poverty; however, because this is an indirect connection, the issue is more complicated.
In addition to the moral, economic, social, and environmental dimensions of the efforts undertaken to prevent food waste, it is important to mention, as an example, a finding of the Dutch bank Rabobank. According to the Champions 12.3 research, 99% of companies that have invested in food waste prevention have achieved a positive return on investment, and half of the 1200 companies that participated in the research achieved a return on investment of 1400% or higher. The companies that achieved the highest rate of return were mainly restaurants, hotels, catering companies, and food retailers. These companies recorded revenues ranging from 5% to 10% [67,68].
As previously mentioned, 88 million tonnes of food worth EUR 143 billion are thrown away in the EU each year. The countries of the EU should reduce food waste by 30% before 2020 and by 50% before 2030. The goal of reducing food waste by half is part of the "Circular Economy Package" presented by the European Commission as a tool for sustainable growth. To make this goal binding on the Member States, it must be passed by the European Parliament and be approved by the Ministers of Environment of all the Member States [69].
Slovakia is lagging regarding the issue of food waste prevention. However, various strategies have been adopted to improve this situation. The Waste Prevention Program of the Slovak Republic for the years 2019-2025, and the Environmental Strategy 2030, address this issue in more detail. An activist from the civic association Free Food (which is involved with addressing the issue of food waste) also notes that this issue is paid less attention than numerous other environmental issues, such as slow fashion, eco design, waste sorting, plastics, biodiversity loss, and deforestation. The problem of food waste simultaneously has ecological, economic, and ethical dimensions, and nearly all people contribute to the problem without realizing the impact of this waste [70]. However, the paradox is that a large amount of food is produced in countries in which people do not have enough food for themselves.

Conclusions
Poverty is caused or exacerbated by numerous factors. The available relevant publications or research sources indicate that poverty can be reduced using appropriate tools. Several possible measures exist to tackle this problem [71,72].
However, the traditional tools are implemented by government bodies in individual countries. In this paper, we noted the possibilities of using managerial and statistical tools. We analyzed poverty and identified potential solutions that could contribute to reducing the problem. By using the managerial tool of Pareto analysis, we discovered the items that account for a large portion of the expenditure of the population. Within European households, food was the third largest (12, 20%) item of expenditure. Data on the amount of food waste indicated that significant amounts of food are being thrown away across the European Union, and most of this food is still usable. Food belongs to the first group of expenditures of the Pareto analysis (which represents 78.1% of expenditures). An interesting finding is that only 21.9% of household expenditure relates to the second group of expenditure items, e.g., furnishings, household equipment, clothing, footwear, health, alcoholic beverages. It follows that this management tool is also relevant and makes a significant contribution to identifying opportunities to tackle the causes of poverty in terms of reducing unnecessary expenditure.
The correlational analysis undertaken in this study was based on three assumptions regarding the EU countries. First, we examined the relationship between the number of populations at risk of poverty and the total amount of food waste per country. Although a relatively strong relationship was found, it was not possible to draw relevant conclusions. To obtain more relevant results, we examined the relationship between the amount of food waste per capita and the proportion of the total population at risk of poverty in a country. In this case, a relatively weak inversely proportional relationship was identified. Finally, we considered the assumption that food waste is not caused by people at risk of poverty. Hence, we examined the relationship between the share of the population at risk of poverty in the total population and the amount of food waste per capita, excluding the population at risk of poverty. A very weak relationship was found. Thus, studies should be undertaken of other factors that are related to the number of populations at risk of poverty. These results show that correlation analysis is also an important and relevant tool, which, unlike Pareto analysis, also reveals the interrelationships between the chosen variables. The selection of variables for the correlation analysis in relation to tackling poverty can be made on a broad basis, which allows for more detailed results.
In this paper, we note the paradox that has arisen, in which food resources are in constant decline while a substantial amount of food is being thrown away, despite increasing expenditure on food by European households. This indicates the potential to improve the use of these resources, in which management also plays a significant role. The information obtained show that poverty reduction can also be addressed via other non-traditional solutions, such as prevention of food waste [73]. Although this solution will not contribute to a significant shift in the poverty rate curve, it has huge significance from moral, environmental, economic, and, in relation to poverty, social perspectives.
In its EU Action Plan, the European Commission [74] set out a harmonized approach for the quantification of food waste. This Action Plan is a tool for the economy that will allow for better prioritization and prevention of food waste. This plan will also allow data to be shared between European countries. The Action Plan will contribute to greater interest in exploring the relationship between energy, food, and water, and will allow measures to be taken to help address global challenges.
The limitations of our research include the potential to examine several factors in addition to those related to the food security of the population. These factors consist of the division of individual foods according to importance, in contrast to the current study, in which we examined foods in general. The research sample also represents a limitation. We focused on examining food waste in the European Union, i.e., a collection of developed countries. A focus on developing countries would be likely to achieve different results.
In the future, we would like to focus on examining food security and food waste in developing countries, and compare the results with those of countries of the European Union.
By discussing the characteristics of poverty, its relationships, and potential means of reducing it, this paper contributes to the expansion of the knowledge acquired in previous studies.