Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-23T20:54:30.110Z Has data issue: false hasContentIssue false

Social and environmental protection: the effects of social insurance generosity on the acceptance of material sacrifices for the sake of environmental protection

Published online by Cambridge University Press:  23 January 2024

Sverker Sjöstrand*
Affiliation:
Department of Government, Uppsala University, Uppsala, Sweden.
Rights & Permissions [Opens in a new window]

Abstract

Studies on climate change mitigation and environmental degradation suggest that lifestyle changes in high-income countries can help promote environmental sustainability. Such changes may include material sacrifices on the part of the individual. Yet, accepting material sacrifices can be a challenging task for both individuals and countries. Can publicly provided economic protection facilitate the acceptance of such sacrifices? This study examines whether social insurance generosity is likely to make people more willing to accept material sacrifices for the sake of environmental protection. Using multilevel regression modelling to analyse data on social insurance programmes and attitudes towards material sacrifices in nineteen high-income countries, the results of the study suggest that social insurance generosity has a positive effect on attitudes towards accepting material sacrifices, with some variation across programmes and social groups.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

Introduction

Climate change and biodiversity loss represent some of the great environmental challenges of the twenty-first century. Reports and studies on climate change mitigation and ecosystem vitality suggest that reductions in the consumption of fossil fuels and other natural resources in high-income countries can benefit environmental sustainability (Chan et al., Reference Chan and Brondízio2019; Dubois et al., Reference Dubois2019; IPCC, Reference Shukla2023; Ivanova et al., Reference Ivanova2020). Such reductions may include reducing consumption levels or living standards among the public in order to protect the environment. However, gaining support for policies that may require material sacrifices on the part of the individual, or is conceived of as a threat to the material welfare of the population, can be challenging. Recent experimental studies (Armingeon & Bürgisser, Reference Armingeon and Bürgisser2021; Beiser-McGrath & Bernauer, Reference Beiser-McGrath and Bernauer2020) also suggest that, when environmental protection is pitted against economic concerns, individuals tend to prioritise the latter.

But what if the economic risks are managed? One of the main responsibilities of the welfare state is the managing of economic risks through the provision of social insurance programmes (Bonoli, Reference Bonoli2005; Esping-Andersen, Reference Esping-Andersen1990; Korpi & Palme, Reference Korpi and Palme1998). With research suggesting that economic concerns shape attitudes towards environmental issues, it seems reasonable that the generosity of social insurance programmes may also affect environmental attitudes. Yet, the relationship between social insurances and environmental attitudes has only been sparsely explored in research. Focusing on issues such as economic development and the quality of government (Davidovic et al., Reference Davidovic, Harring and Jagers2020; Fairbrother, Reference Fairbrother2013; Gelissen, Reference Gelissen2007; Harring, Reference Harring2013; Lo, Reference Lo2016), previous comparative research on attitudes towards material sacrifices for the sake of environmental protection has paid limited attention to specific welfare state policies in shaping attitudes. When welfare states have been analysed in relation to attitudes, it has mostly been done using broad country comparisons (Fritz & Koch, Reference Fritz and Koch2019; Marquart-Pyatt et al., Reference Marquart-Pyatt2019; Otto & Gugushvili, Reference Otto and Gugushvili2020; Sivonen & Kukkonen, Reference Sivonen and Kukkonen2021), and when social insurance schemes have been considered (Parth & Vlandas, Reference Parth and Vlandas2022), it has been done using empirical indicators that cover limited aspects of the provision of social insurances, leaving the issue of how social insurance generosity effects attitudes towards material sacrifices largely unexplored.

This study addresses this gap by examining how social insurance generosity affects environmental attitudes using multidimensional and comprehensive empirical indicators on the provision of social insurances. The study’s overarching research question is: does social insurance generosity have a positive effect on attitudes towards accepting material sacrifices for the sake of environmental protection?

The study tests the theory that the generosity of social insurance programmes has a positive effect on individual willingness to accept material sacrifices for the sake of environmental protection. The mechanism behind this can be referred to as the assurance effect of social insurances. By providing economic protection, social insurances provide assurance regarding material conditions. The assurance provided by social insurance system is likely to make individuals more willing to accept the risk involved in accepting material sacrifices for the sake of environmental protection. The degree of the assurance provided is likely to vary according to the generosity of the insurance programmes and extend beyond those who are directly in receipt of support.

The argument is tested by examining three specific social insurance programmes that are particularly relevant for the regulation of individual risks: unemployment insurance, sickness insurance, and pension insurance. They are regarded as key welfare state programmes (Bonoli, Reference Bonoli2005; Esping-Andersen, Reference Esping-Andersen1990; Korpi & Palme, Reference Korpi and Palme1998) that cover large shares of the population and make up the bulk of social spending in developed democracies (Scruggs & Ramalho Tafoya, Reference Scruggs and Ramalho Tafoya2022). The analysis is carried out using individual-level data on attitudes from the International Social Survey Project (ISSP) and country-level social insurance data from the Comparative Welfare Entitlements Project (CWEP). Using multilevel modelling, the association between the combined generosity of all three social insurance programmes and the attitudes of the general public is analysed, and the association between the generosity of each individual insurance programme and the attitudes of the working population, the unemployed and retirees. Data used refers to the year 2010, with a total of 26,510 individual-level observations from nineteen high-income countries.

The results show that social insurance generosity is positively associated with attitudes towards accepting material sacrifices for the sake of environmental protection among the general public, the working population and the unemployed. The association is found across different social insurance systems and social groups, with the exception of pension and retirees. The results indicate that social insurance generosity does not have a stronger effect on the attitudes of low-income households compared to other households. The findings suggest that policies that require material sacrifices from the public in order to protect the environmental may have an easier time gaining acceptance if accompanied by policies of economic protection.

Using comprehensive and multidimensional empirical indicators to measure the generosity of key welfare state programmes, the study provides one of the first comprehensive accounts of the effects of welfare state generosity on environmental attitudes. Focusing on the interplay between social and environmental protection, the study contributes to the growing field of research examining the relationship between welfare state systems and environmental sustainability (Fritz & Koch, Reference Fritz and Koch2019; García-García et al., Reference García-García, Buendía and Carpintero2022; Hirvilammi et al., Reference Hirvilammi2023; Koch & Fritz, Reference Koch and Fritz2014).

Previous research

The willingness to accept material sacrifices for environmental causes has been studied from different theoretical perspectives and operationalised in various ways. Among the more common ways of operationalising it are measures of attitudes towards accepting different economic costs, such as paying higher taxes, prices (e.g. Franzen & Vogl, Reference Franzen and Vogl2013; Harring & Jagers, Reference Harring and Jagers2013; Davidovic et al., Reference Davidovic, Harring and Jagers2020), or accepting cuts to one’s living standard for the sake of environmental protection (Harring, Reference Harring2013). The following research overview will focus on studies that have examined the determinants behind such attitudes cross-country and comparatively.

Previous studies have analysed attitudes towards material sacrifices as part of a generalized ‘environmental concern’ (Dunlap & York, Reference Dunlap and York2008; Fairbrother, Reference Fairbrother2013; Franzen & Meyer, Reference Franzen and Meyer2010; Franzen & Vogl, Reference Franzen and Vogl2013; Lo, Reference Lo2016), drawing on Ronald Inglehart’s post-materialism thesis to examine how environmental concern vary within and across countries. Inglehart (Reference Inglehart1995) argued that environmental attitudes are linked to a sense of existential security that arises from having physical and economical security. When provided with such security, individuals shift their attention from ‘materialistic’ concerns to ‘post materialistic’ concerns such as environmental sustainability (Inglehart, Reference Inglehart1995, Reference Inglehart2008). Economic development and the welfare state are key elements in this process. While economic development provide resources for economic security, the level of security provided in a society is mediated by the welfare state (Inglehart, Reference Inglehart2008, pp. 132–133). Yet, when examining Inglehart’s claim, researchers have commonly focused on the relationship between economic development and attitudes, analysing how country wealth, measured as gross domestic product (GDP) per capita, relate to attitudes towards accepting material sacrifices for environmental causes (Dunlap & York, Reference Dunlap and York2008; Fairbrother, Reference Fairbrother2013; Franzen & Vogl, Reference Franzen and Vogl2013; Lo, Reference Lo2016). However, compared to welfare state generosity – the degree of economic protection welfare states provide citizens with – GDP per capita is less suitable as an indicator of the level of economic security provided in a country, as welfare state generosity can be thought to impact citizens sense of economic security more directly than general levels of economic affluence (see Scruggs & Allan, Reference Scruggs and Allan2006). Yet, so far, no study has examined how welfare state generosity affects attitudes towards accepting material sacrifices for the sake of the environment.

Another strand of the literature has emphasised the importance of political trust and the quality of state institutions in shaping attitudes. While people may value environmental protection, political distrust and poor quality of government are likely to make them less willing to make economic sacrifices in the form of paying higher taxes and prices (Harring, Reference Harring2013; Davidovic et al., Reference Davidovic, Harring and Jagers2020; Fairbrother, Reference Fairbrother2022). Harring (Reference Harring2013) finds a positive individual-level effect of political trust on attitudes towards accepting material sacrifices for the sake of the environment and Fairbrother (Reference Fairbrother2016) on attitudes both at the individual and country level. Davidovic et al. (Reference Davidovic, Harring and Jagers2020) find that the quality of government moderates support for environmental taxes at the country level, with a greater willingness to pay higher taxes in countries with high levels of governmental quality. Yet, largely missing from the literature on political trust and attitudes towards accepting sacrifices is a consideration of the effects of welfare state generosity on attitudes. While empirical studies are limited, research suggest that welfare state generosity has a positive and causal effect on political trust (Kumlin & Haugsgjerd, Reference Kumlin, Haugsgjerd, Zmerli and van der Meer2017; Kumlin et al., Reference Kumlin, Stadelmann-Steffen, Haugsgjerd and Uslaner2018).

When welfare state characteristics have been examined in relation to environmental attitudes, it has often been done by comparing countries according to Esping-Andersen’s (Reference Esping-Andersen1990) welfare state regime typology. A common finding has been that people in countries associated with the social democratic welfare state regime are more willing to accept material sacrifices compared to people in liberal and conservative welfare states, either by paying for environmental protection (Jones et al., Reference Jones2009), accepting higher taxes on fossil fuels (Marquart-Pyatt et al., Reference Marquart-Pyatt2019; Otto & Gugushvili, Reference Otto and Gugushvili2020; Sivonen & Kukkonen, Reference Sivonen and Kukkonen2021) or accepting cuts in their level of living standard (Koch & Fritz, Reference Koch and Fritz2014). However, by analysing countries according to welfare state regimes, studies have not provided detailed examinations of the effect of specific welfare state programmes on attitudes.

One study, by Parth and Vlandas (Reference Parth and Vlandas2022), has examined how variations in specific social policy measures relate to environmental attitudes. Referencing Inglehart, Parth, and Vlandas argue that generous welfare states make people safer by providing economic security and satisfying short-term material needs, which in turn enable individuals to focus on ‘post-material’ environmental concerns. However, they do not elaborate on the supposed mechanism behind this effect. Empirically, they examine 2019 Eurobarometer public opinion survey data and country-level indicators of welfare state generosity in 22 European countries. They operationalise pro-environmental behaviour using measures of individual considerations and actions regarding energy consumption, carbon footprint, waste recycling, and consumption. Welfare state generosity is operationalised as percentage of social expenditures of GDP and income replacements rates for unemployment and pension insurances. Parth and Vlandas find that welfare state generosity is positively associated with attitudes towards pro-environmental action among members of the working class. The opposite is found for the elderly, who are less likely to support environmental action when pension generosity is high. However, their study provides only a limited assessment of welfare state generosity. As emphasized in the literature on comparative welfare state research (e.g. Esping-Andersen, Reference Esping-Andersen1990; Kangas & Palme, Reference Kangas, Palme, Clasen and Siegel2007; Scruggs, Reference Scruggs2008; Sjöberg, Reference Sjöberg2010), a comprehensive assessment of welfare state generosity requires taking several aspects of the provision of welfare state support into account.Footnote 1 With regards to social insurances, this entails making a combined assessment of different insurance programme characteristics: in addition to income replacement levels, one also need to consider duration periods, programme coverage levels and eligibility criteria. A social insurance programme may well offer generous replacement rates, but if only provided to a small number of recipients or for a limited duration, the overall generosity may still be limited (Esping-Andersen, Reference Esping-Andersen1990, p. 49).

In addition to large scale survey studies, experimental studies have recently sought to examine the relationship between individual economic circumstances and attitudes. A study in Switzerland found that, when faced with the choice of supporting policies of either environmental protection or income redistribution, short-term individual economic interests was the main determinant of individual choice (Armingeon & Bürgisser, Reference Armingeon and Bürgisser2021). Similarly, a survey experiment on German and American respondents found that acceptance of carbon taxation was first and foremost determined by individual economic concerns (Beiser-McGrath & Bernauer, Reference Beiser-McGrath and Bernauer2020). Such findings suggest that individual economic concerns play an important role in shaping attitudes towards environmental policies and material sacrifices. More generally, research also suggests that support for material sacrifices in the form of carbon taxation or increased fossil fuel costs may increase when revenues are recycled to benefit particularly exposed households or social groups (Beiser-McGrath & Bernauer, Reference Beiser-McGrath and Bernauer2019; Gaikwad et al., Reference Gaikwad, Genovese and Tingley2022; Klenert et al., Reference Klenert2018).

To sum up, while previous research has made considerable headway in understanding how attitudes towards material sacrifices for environmental protection are shaped, the importance of welfare state programmes, and social insurances in particular, have not been examined in-depth. When these institutions have been examined, analyses have relied on empirical measures that do not fully capture the multidimensional nature of social insurance generosity. Furthermore, previous research has not attempted to provide an elaborate theoretical account regarding the relationship between social insurance generosity and support for environmental protection. This study seeks to address these gaps in the following way. Firstly, it presents a theoretical argument regarding the effect of social insurance generosity on attitudes. Secondly, it analyses the effect of social insurance generosity on attitudes towards material sacrifices using comprehensive measures on the provision of social insurances.

Theory and hypotheses

Drawing on Inglehart’s notion of existential security, I propose that social insurance generosity increases individual economic security, which in turn facilitates greater willingness to accept material sacrifices for the sake of environmental protection.Footnote 2 The mechanism behind this is risk reduction. Through the provision of income insurances, welfare states reduce the risk of not being able to maintain a sufficiently high level of material living conditions, thereby making people more willing to accept material sacrifices for the sake of environmental protection.

Protection against social risks is a central theme in social policy theorising. Protection against risks such as unemployment, sickness, and old-age are considered key tasks of the welfare state (e.g. Bonoli, Reference Bonoli2005; Esping-Andersen, Reference Esping-Andersen1990; Korpi & Palme, Reference Korpi and Palme1998). Esping-Andersen (Reference Esping-Andersen1990) famously identified welfare state regimes according to the degree to which they granted citizens’ social rights offering protection against such risks. By providing social insurance protection that allowed citizens to make their living standards independent of pure market forces, welfare states provided citizens with protection against social risks; a process which he called decommodification (Esping-Andersen, Reference Esping-Andersen1990, p. 3). According to Esping-Andersen (Reference Esping-Andersen1990), the degree of protection offered in different welfare states in turn reflected different political histories and the balance of power between economic classes. As others have noted, this approach to analysing welfare states (Esping-Andersen, Reference Esping-Andersen1990; Korpi & Palme, Reference Korpi and Palme1998) essentially relies on a consideration of the generosity and universalism of social insurance programmes (Scruggs, Reference Scruggs2007).

Social insurances play a central role in the regulation of individual risks. As insurances, they provide direct support to those in need, but also protection against economic uncertainty and assurance regarding future material conditions. As argued by Sjöberg (Reference Sjöberg2010), social insurance systems have effects that extend beyond those who directly utilise them, providing assurance to those who currently may not be in receipt of support. The mere knowledge that public insurance systems exist and that they provide some degree of economic protection can provide assurance regarding future material conditions for a wider population: sickness and unemployment insurances provide assurance regarding economic conditions in case of unemployment or sickness, and pension insurances in case of old age or early retirement.

The assurance provided by social insurance schemes can also be thought to effect environmental attitudes. When the generosity of social insurance systems is low, individuals are more likely to consider their own material possessions as potential means of economic insurance in case of a loss of income. With no or low levels of income protection, individuals must rely mainly on private means, such as savings and other material possessions, to secure their subsistence following a loss of earnings. Under such circumstances, individuals are less likely to accept material sacrifices for environmental causes, as it poses a greater risk to their own means of subsistence in case of a loss of income.

Conversely, when generous economic protection is provided through social insurance systems, individuals are less likely to be concerned about securing their own means of economic protection following a loss of income. Knowing that one will not need to rely solely or mainly on private means, individuals are more likely to be willing to accept material sacrifices for environmental protection, as such sacrifices are less likely to be considered a risk to their future subsistence. Thus, by lessening the risks associated with the acceptance of material sacrifices, greater social insurance generosity is likely to make people more inclined to accept material sacrifices than they otherwise would be. This can be referred to as the assurance effect of social insurance generosity.

As protection is provided in the form of insurances, the assurance effect is likely to extend beyond those who are in direct receipt of support, with the overall level of social insurance generosity in a society having an effect on the attitudes of the general population.

  • Hypothesis 1a: the overall level of social insurance generosity is positively associated with attitudes towards accepting material sacrifices for the sake of environmental protection among the general population.

Furthermore, the assurance effect of individual social insurance programmes can also be thought to affect the attitudes of social groups who are most likely to use them for support in case of a loss of earnings. For sickness insurance schemes, this concerns the working population. For unemployment insurance schemes, the working population and the unemployed.

  • Hypothesis 1b: sickness insurance generosity is positively associated with attitudes towards accepting material sacrifices for the sake of environmental protection among the working population.

  • Hypothesis 1c: unemployment insurance generosity is positively associated with attitudes towards accepting material sacrifices for the sake of environmental protection among the working population.

  • Hypothesis 1d: unemployment insurance generosity is positively associated with attitudes towards accepting material sacrifices for the sake of environmental protection among the unemployed.

Another relevant social group are retirees. Many retirees are likely to be senior citizens. It is possible that they, because of their age, may be less inclined to accept material sacrifices for protecting the environment than others. Investments in environmental protection are generally paid for by currently living generations. Yet, the benefits of these investments may only arise many years into the future. Due to their shorter remaining life spans, senior citizens may profit less from these future benefits. It is therefore possible that retirees may value their own material conditions over environmental protection, regardless of the level of social insurance generosity provided to them. Yet, it is also possible that pension insurance generosity may affect the attitudes of retirees in the same way as it is thought to effect other social groups, namely by providing them with a form of assurance that make them more willing to accept sacrifices. Thus, in line with the general theoretical argument of the study, it is hypothesised that the generosity of pension insurances will have a positive effect on the attitudes of retirees.

  • Hypothesis 1e: pension insurance generosity is positively associated with attitudes towards accepting material sacrifices for the sake of environmental protection among retirees.

Furthermore, it is possible that the generosity of social insurance programmes has a distinct effect on the attitudes of low-income households. As low-income households may experience a greater increase in their relative economic margins with higher levels of social insurance generosity, they may also experience a stronger sense of assurance compared to other households. Based on this, the following hypothesis if formulated.

  • Hypothesis 2: social insurance generosity is positively associated with attitudes towards accepting material sacrifices for the sake of environmental protection, particularly among low-income households.

Data

The hypotheses presented above are tested with individual-level data from the ISSP 2010 Environment module III, data file version 3.0.0 (ISSP Research Group, 2019) and country-level data on social insurance programme generosity from CWEP, version 2022-01 (Scruggs, Reference Scruggs2022a). The ISSP Environment module is a cross-national social survey focusing on individual-level attitudes towards environmental issues. Data is collected at the household level with adults as the target population. Data for the Environment module III was collected between 2010 and 2012 using self-completion questionnaires, face-to-face interviews, or both. Respondents were chosen using a systematic multistage random sampling procedure, with no two respondents from the same household in the same sample. The full sample contains 26,510 individual observations from nineteen countries (listed below in Table 1). Information on the number of individual-level observations per country can be found in Table S1 in Appendix. Survey data for the United Kingdom refers to the area of Great Britain. Although relatively dated, the ISSP Environment module III offers one of the most comprehensive international survey datasets on attitudes towards material sacrifices which also include extensive background information on respondents.

CWEP contains cross-country comparative information on the provision of rights-based national social insurance benefit programmes in advanced industrialised countries. It contains information on a variety of institutional characteristics related to the provision of social insurances, including multidimensional measures specifically designed to capture the generosity of insurance programmes. Originally developed to replicate the indicators on decommodification used by Esping-Andersen (Reference Esping-Andersen1990), it is considered a primary source of data on quantified legislated social rights (Bolukbasi & Öktem, Reference Bolukbasi and Öktem2018; Scruggs, Reference Scruggs2007; Scruggs & Ramalho Tafoya, Reference Scruggs and Ramalho Tafoya2022). It offers state-of-the-art tools for analysing social insurance characteristics and has been widely used in empirical research on social inequality and welfare states (CWED, 2017; Scruggs, Reference Scruggs2022b; Scruggs & Ramalho Tafoya, Reference Scruggs and Ramalho Tafoya2022).

CWEP data with sufficient coverage and quality is available for the following nineteen countries: Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Japan, the Netherlands, New Zealand, Norway, Portugal, South Korea, Spain, Sweden, Switzerland, the United Kingdom and the United States. Data refers to the year 2010. While the inclusion of additional countries in the analysis would be desirable, the given selection include high-income countries with high living standards and social insurance systems that vary in terms of generosity (see Figure 1), making them interesting and relevant cases to study.

Figure 1. Social insurance generosity index values for countries included in the study.

Source: Scruggs (Reference Scruggs2022a)

The study also include data on country level economic conditions sourced from the World Bank database (World Bank, 2022), described below. Descriptive statistics for the variables included in the study can be found in Table S2 in Appendix.

Operationalisation of variables

Willingness to accept material sacrifices for environmental protection

Willingness to accept material sacrifices for the sake of environmental protection is measured using a survey item from the ISSP. The measure is constructed from the survey question: ‘And how willing would you be to accept cuts in your standard of living in order to protect the environment?’. Responses are captured on a five-point Likert scale with values ranging from 1 to 5: (1) very willing, (2) fairly willing, (3) neither willing nor unwilling, (4) fairly unwilling, and (5) very unwilling. The original values have been reversed so that a higher value indicates a greater willingness. Table 1 shows descriptive statistics for the dependent variable.

Table 1. Willingness to accept cuts in one’s living standard in order to protect the environment. Number of observations, mean value and standard deviation, per country. Variable values range from (min) 1 to (max) 5

Source: ISSP Research Group (2019). Missing values not included.

Prior studies on attitudes towards material sacrifices have mainly focused on attitudes towards accepting higher taxes or consumer prices for environmental protection (e.g. Fairbrother, Reference Fairbrother2013, Reference Fairbrother2016, see also Fairbrother, Reference Fairbrother2022; Davidovic et al., Reference Davidovic, Harring and Jagers2020). Less is known about attitudes towards other forms of sacrifices, including reductions in living standards. Still, the survey item has been used in previous research as an indicator on willingness to accept economic or material sacrifices for the sake of environmental protection (e.g. Harring, Reference Harring2013; Lo, Reference Lo2016; Franzen & Meyer, Reference Franzen and Meyer2010). Admittedly, the measure is problematic as an indicator on the willingness to accept material sacrifices; the survey question does not make clear if ‘standard of living’ concerns solely material aspects, and respondents may interpret it as referencing also intangible aspects. Furthermore, the nature and the size of the cuts are not specified, leaving it up to the respondent to make their own assumptions as to what it may entail. Moreover, the survey question does not make explicit if it involves coercive or voluntary measures. Yet, as the question contains no reference to legislative or other regulatory measure, it seems likely that respondents will primarily consider it voluntary in nature. This distinguishes it from other forms of sacrifices, such as environmental taxes, which impose specific and compulsory regulation and imply high levels of state intervention (see Jones et al., Reference Jones2009).

Social insurance generosity

Social insurance generosity is measured using information from CWEP (Scruggs, Reference Scruggs2022a) on the provision and structure of three social insurance cash benefit programmes, provided at the country level: unemployment insurance, sick pay insurance, and pension insurance. The generosity of the three social insurance programmes is measured in the form of cross-country comparative indices: the unemployment insurance generosity index, the sick pay insurance generosity index, and the pension insurance generosity index. The indices combine information on payment levels, duration periods, qualifications criteria, and the share of the population covered by the different insurance programmes in each country, respectively.

In addition to providing programme specific indices, CWEP also provides a cross-country comparative index measuring the total social insurance generosity of each country, the total social insurance generosity index. The total social insurance generosity index is produced by adding together the values of each of the three programme specific indices for each country. All four indices will be used in this study as indicators on social insurance generosity. The total social insurance generosity index will be used as a measure of overall social insurance generosity. For all indices, a higher value indicates greater generosity. For additional information on the indices and CWEP data, see Table S3 and Notes on CWEP data in Appendix. Figure 1 shows the generosity index values for the countries included in the study.

The insurance programmes in this study have considerable reach: they constitute the bulk of welfare spending in developed democracies and their beneficiaries represent the more than 75% of the eligible population (Scruggs & Ramalho Tafoya, Reference Scruggs and Ramalho Tafoya2022). However, it should be noted that other types of welfare state support may also be of importance for people’s sense of assurance, including social assistance, family benefits and various non-cash benefits and services (Jensen, Reference Jensen2008; Kautto, Reference Kautto2002).

As described in the section on prior research, measuring the generosity of social insurance programmes requires a combined assessment of income replacement levels, duration periods, programme coverage levels, and eligibility criteria. The CWEP indices are highly suitable for this purpose. Yet, as aggregate measures, the indices do not provide information on the effect specific programme characteristics may have on attitudes. This should be kept in mind.

Working, unemployed, and retirees

In order to assess the relationship between social insurance programmes and the attitudes of specific segments of the population, I divide the sample into subpopulations based on respondent’s self-reported labour market status in the ISSP data: working, unemployed or retired.Footnote 3

Household income

The ISSP contains information on respondent’s net household income reported in country specific currency. In order to obtain a cross-country comparative measure of income, the income measure has been transformed in the following ways. First, the income measure has been adjusted to account for the number of household members by dividing each observation by the square root of the number of household members, providing a representative measure of net household income adjusted for household size. Second, the measure has been z-standardised. Z-standardisation produces a series of z-scores that describe a respondent’s income position relative to the country mean income, thereby providing a cross-country comparable measure of the respondent’s relative income. Third, since z-standardisation produces negative values for respondents whose income fall below the country mean, the standardised values have been transformed into positive values (leaving the relative differences in income levels intact), allowing for the values to be logarithmised. Fourth, the income values have been logarithmised to account for outliers. Lastly, the income measure has been divided into quintiles. The first income quintile, the 20% of the households with the lowest income, are considered low-income households in the analysis.

Control variables

I control for country level economic conditions using two measures (see Gelissen, Reference Gelissen2007; Harring, Reference Harring2013) – GDP per capita in 2010 (in constant 2017 international dollars), and the average annual GDP per capita growth for the five preceding years (2004–2009). I control for economic growth because perceptions of general economic conditions are likely to be effected by economic trends (De Vries et al., Reference De Vries, Hobolt and Tilley2018; Okolikj & Hooghe, Reference Okolikj and Hooghe2022). The measure of GDP per capita has been logarithmised. Data on GDP per capita for 2010 and average annual GDP per capita growth for 2004–2009 have been sourced from the World Bank database (World Bank, 2022).

According to the literature, gender, age, and education are likely to be relevant individual-level control variables (Gelissen, Reference Gelissen2007; Harring, Reference Harring2013; Jones et al., Reference Jones2009). I control for these using ISSP data. Gender is coded as either (0) male or (1) female. Age is measured in years, with the sample restricted to individuals 18 years of age or older.Footnote 4 I also include a measure of age as a squared variable. Education is measured by the respondent’s highest educational degree, values ranging from 1 to 4: (1) no formal education or still in school, (2) primary education, (3) secondary education, and (4) university education.

Method

I test the study’s hypotheses using multilevel regression analysis (Gelman & Hill, Reference Gelman and Hill2006), examining the association between social insurance generosity and attitudes towards accepting material sacrifices for the sake of environmental protection across different social groups.

As a method, multilevel regression modelling has the advantage of allowing regression parameters to vary across countries, making it possible to assume that countries have different mean values when it comes to the willingness to accept material sacrifices for environmental protection (random intercepts) and that the effects of different predictors (the generosity of social insurance systems) may vary cross-nationally (random slopes). I use cross-level interactions to analyse the association between the generosity of social insurance programmes (at the country level) and the attitudes of low-income households (at the individual level). Design weight and weights intended to adjust for non-response bias provided in the ISSP data file has been applied in the analysis in order to make country samples more representative.

See Notes on method in Appendix for additional methodological information.

Results

The results of the regression analysis are presented in Tables 2 and 3. Model 1 in Table 2 shows the results for the association between total social insurance generosity and the attitudes of the total population towards accepting material sacrifices for the sake of environmental protection. According to the study’s hypothesis 1a, we should expect to find a positive association between total insurance generosity and the attitudes of the general public. And this is also what the results show: there is a statistically significant and positive association between generosity levels and attitudes (p < 0.05, model 1) towards accepting material sacrifices for environmental protection. The estimate implies that the difference between a country with the lowest (13.4, South Korea) and the highest (44.3, Norway) level of total social insurance generosity equals a change in 0.4 units on the dependent variable, whose values range from 1 (very unwilling) to 5 (very willing). This may be compared to the estimated association between education and attitudes towards accepting material sacrifices (Model 2, Table S4 in Appendix). Moving from the lowest level of education to the highest level of education is associated with an increase in 0.48 units on the dependent variable. In other words, a move between the endpoints of total social insurance generosity corresponds to a change in the dependent variable of similar magnitude as a shift between the endpoints in education.

Table 2. Willingness to accept material sacrifices for the sake of environmental protection. Total social insurance generosity, sickness insurance generosity, and unemployment insurance generosity; total and working population. Weighted data

Standard errors in parentheses. Dependent variable: willingness to accept cuts to one’s level of living standard in order to protect the environment (0-5).

p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001.

Table 3. Willingness to accept material sacrifices for the sake of environmental protection among unemployed and retirees. Unemployment insurance generosity and pension insurance generosity; unemployed population and retired population. Weighted data

Standard errors in parentheses. Dependent variable: willingness to accept cuts to one’s level of living standard in order to protect the environment (0-5).

p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001.

Similar results are also found for other insurance programmes, confirming the study’s hypotheses 1a–1d. There is a positive association between the generosity of sickness (p < 0.01, model 3) and unemployment insurances (p < 0.05, model 5) on the attitudes of the working population. Moreover, there is also a positive association between the generosity of the unemployment insurance and the attitudes of the unemployed (p < 0.10, Table 3, model 1). The estimate suggests that the average difference in attitude for a worker in a country with the lowest level of sickness insurance generosity compared the highest level is about 0.4 units on the dependent variable. For unemployment insurance the difference is slightly smaller for the same population, about 0.35 units on the dependent variable. Taken together, these results suggest that there is a positive effect of the total level of social insurance generosity in a society on the attitudes of the general population, and of the generosity of sickness and unemployment insurance programmes on the attitudes of workers and the unemployed.

However, not all results are in line with the study’s expectations; hypotheses 1e and 2 are not supported by the results. The results show no significant association between the generosity of the pension insurance and attitudes of retirees (Table 3, model 3). Additionally, in general, there does not appear to be a stronger positive effect of insurance generosity on the attitudes of low-income households. Although the results show a stronger positive association between unemployment insurance generosity and the attitudes of low-income working households compared to medium-high income households (Table 2, model 6), this result is not found for other measures of insurance generosity (Table 2, models 2 and 4; Table 3, model 4).Footnote 5 Figure 2 show the marginal effects of social insurance generosity on the attitudes of medium-high- and low-income households. As seen there, the differences in effect size across households are small.

Figure 2. Average marginal effects of social insurance generosity for medium-high- and low-income households, with 95% CI.

What might explain these results? As previously suggested, it is possible that retirees value their own material conditions over environmental protection regardless of the level of social insurance generosity provided to them. Yet, the results for both retirees and low-income households might also be explained by the conditionality of social insurance programmes and the role they play for different groups. The qualifying criteria for most insurance programmes are tied to employment history, and benefits are often provided at rates below that of the insureds’ previous income. Sickness and unemployment insurances mainly function as temporary sources of income for people who are out of work. However, for many retirees, pension benefits are likely to serve as a permanent source of income, yet with benefits provided at a rate below that of their pre-retirement earnings level. Combined with the limited prospects of supplementing pension benefits with additional labour income, pension insurances may not provide retirees with a sense of assurance strong enough to affect their willingness to accept material sacrifices. Similarly, the results for low-income households might also be explained by the conditions pertaining to social insurance programmes. For households with irregular or low income, social insurances may not provide sufficiently high levels of economic protection to provide them with a particularly strong sense of assurance compared to other households.

When applying appropriate tests, there are no evident problems of multicollinearity.Footnote 6 Additional analysis using unweighted data and logarithmised household income as a control variable confirm the results for the main effects in Tables 2 and 3.Footnote 7

Concluding discussion

By and large, the results of this study suggest that publicly provided social insurance can promote the acceptance of material sacrifices for the sake of environmental protection among citizens in high-income countries. The study’s analysis reveals a positive association between the overall level of social insurance generosity and the attitudes of the general public towards accepting material sacrifice, as well as between the generosity of specific social insurance programmes and the attitudes of workers and the unemployed. However, the findings also suggest that the effect of social insurance generosity on attitudes vary across social groups and insurance programmes. The generosity of the pension insurance does not appear to have an effect on the attitudes of retirees, nor does the generosity of insurance programmes appear to have a distinct positive effect on the attitudes of low-income households in general.

In comparison to previous research on the relationship between welfare state generosity and environmental attitudes (Parth & Vlandas, Reference Parth and Vlandas2022), this study has provided comprehensive indicators on the provision of major social insurance programmes to measure welfare state generosity. Within comparative social policy research, this is widely considered an ideal approach for studying welfare state generosity (Scruggs, Reference Scruggs2008). Moreover, while previous studies have examined attitudes towards environmentally friendly behaviour in general (Parth & Vlandas, Reference Parth and Vlandas2022), this study has focused on attitudes towards accepting personal costs to protect the environment. By doing so, the study provides one of the first comprehensive accounts of the effects of welfare state generosity on attitudes towards accepting individual costs for environmental protection.

The analysis provided in this study is closely related to the concept of decommodification (Esping-Andersen, Reference Esping-Andersen1990), and the results suggest that decommodification may facilitate the acceptance of material sacrifices for environmental causes. This is a potentially important finding for policy making; the results indicate that environmental policies requiring material sacrifice may have an easier time gaining acceptance if accompanied by policies of decommodification. By focusing on the interplay between social and environmental protection, the study contributes to the growing field of research examining the relationship between welfare state systems and environmental sustainability (Fritz & Koch, Reference Fritz and Koch2019; García-García et al., Reference García-García, Buendía and Carpintero2022; Hirvilammi et al., Reference Hirvilammi2023; Koch & Fritz, Reference Koch and Fritz2014).

The study has some limitations. First, it is uncertain how respondents interpret the survey question used as the dependent variable regarding accepting cuts to one’s level of living standard. Second, the study uses cross-sectional data fielded at one particular point in time and from a limited number of countries. This limits the possibility of empirically assessing the causal relationship between welfare state generosity and attitudes. Future research may want to explore the relationship using longitudinal data and larger sets of cases. Scholars may also want to consider using alternative methods, such as qualitative interviews or survey experiments, to further investigate the connection between assurance and the willingness to accept sacrifices. Moreover, the argument presented in this study represent an attempt at formulating a theory on the relationship between welfare state generosity and attitudes towards material sacrifices for environmental causes. I encourage other scholars to engage with the argument presented in this paper in order to further establish its validity.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S004727942300065X

Acknowledgements

I would like to thank Marcus Österman, Katrin Uba, Joakim Palme, Johan Wejryd, Per Adman, Sten-Åke Stenberg and two anonymous reviewers for valuable comments on earlier drafts of this paper. I would also like to thank Simon Hjalmarsson, Sebastian Sirén, and participants at the Climate Politics seminar and the Higher Seminar at the Department of Government, Uppsala University, for helpful comments and suggestions.

Competing interests

The author declares none.

Footnotes

1 As described by Scruggs (Reference Scruggs2008) public spending data reveal little about the level of social protection provided against social risks. When social spending is measured in relation to the size of the economy (e.g. as portion of GDP), such measures typically do not account for the size of the dependent population, which risks obscuring the extent and level of the protection provided.

2 According to Inglehart, so called post materialistic values have gradually replaced materialistic values in advanced industrial societies (Inglehart, Reference Inglehart2008). The aim of this article is not to evaluate Inglehart’s argument regarding value change, and space does not allow for a review of empirical research dealing with Inglehart’s claim.

3 Working refer to respondents who reported being in paid work as an employee, self-employed, or working for his/her own family’s business. Unemployed refer to respondents who reported being unemployed and looking for a job. Respondents who at the time of the survey were temporarily not working because of temporary illness/parental leave/vacation/strike etc., were instructed to report their normal work situation.

4 The sample population has been restricted to respondents age 18 or older (n younger than 18 = 119).

5 Contrary to expectations, the association between unemployment insurance generosity and the attitudes of low-income unemployed households is negative (Table 3, model 2).

6 Except for age and age square, all variables have variance inflation factor (VIF) values below 5. Apart from age and age square, the variable with the highest VIF value is the unemployment insurance generosity index, which has a value of 1.82.

7 See tables S6, S7, S8 and S9 in Appendix.

References

Armingeon, K., & Bürgisser, R. (2021). Trade-offs between redistribution and environmental protection: The role of information, ideology, and self-interest. Journal of European Public Policy, 28(4), 489509. https://doi.org/10.1080/13501763.2020.1749715 CrossRefGoogle Scholar
Beiser-McGrath, L. F., & Bernauer, T. (2019). Could revenue recycling make effective carbon taxation politically feasible? Science Advances, 5(9), eaax3323. https://doi.org/10.1126/sciadv.aax3323 CrossRefGoogle ScholarPubMed
Beiser-McGrath, L. F., & Bernauer, T. (2020). How do pocketbook and distributional concerns affect citizens’ preferences over costly policies? Evidence from experiments on support for carbon taxation. Preprint. SocArXiv. https://doi.org/10.31235/osf.io/cuwzs CrossRefGoogle Scholar
Bolukbasi, H. T., & Öktem, K. G. (2018). Conceptualizing and operationalizing social rights: Towards higher convergent validity in SCIP and CWED. Journal of European Social Policy, 28(1), 86100. https://doi.org/10.1177/0958928717700565 CrossRefGoogle Scholar
Bonoli, G. (2005). The politics of the new social policies: providing coverage against new social risks in mature welfare states. Policy & Politics, 33(3), 431449. https://doi.org/10.1332/0305573054325765 CrossRefGoogle Scholar
Chan, K. M. A., et al. (2019). Chapter 5. Pathways towards a Sustainable Future. In Brondízio, E. S., et al. (Eds.), Global assessment report of the intergovernmental science-policy platform on biodiversity and ecosystem service. (pp. 767–874). Bonn: IPBES secretariat. https://doi.org/10.5281/ZENODO.3832099 CrossRefGoogle Scholar
CWED. (2017). Scientific works and publications using CWED data as of October 5, 2017. http://cwed2.org/Data/citelist.pdf Google Scholar
Davidovic, D., Harring, N., & Jagers, S. C. (2020). The contingent effects of environmental concern and ideology: institutional context and people’s willingness to pay environmental taxes. Environmental Politics, 29(4), 674696. https://doi.org/10.1080/09644016.2019.1606882 CrossRefGoogle Scholar
De Vries, C. E., Hobolt, S. B., & Tilley, J. (2018). Facing up to the facts: What causes economic perceptions? Electoral Studies, 51, 115122. https://doi.org/10.1016/j.electstud.2017.09.006 CrossRefGoogle Scholar
Dubois, G., et al. (2019). It starts at home? Climate policies targeting household consumption and behavioral decisions are key to low-carbon futures. Energy Research & Social Science, 52, 144158. https://doi.org/10.1016/j.erss.2019.02.001 CrossRefGoogle Scholar
Dunlap, R. E., & York, R. (2008). The globalization of environmental concern and the limits of the postmaterialist values explanation: Evidence from four multinational surveys. The Sociological Quarterly, 49(3), 529563. https://doi.org/10.1111/j.1533-8525.2008.00127.x CrossRefGoogle Scholar
Esping-Andersen, G. (1990). The three worlds of welfare capitalism. Cambridge: Polity Press.Google Scholar
Fairbrother, M. (2013). Rich people, poor people, and environmental concern: Evidence across nations and time. European Sociological Review, 29(5), 910922. https://doi.org/10.1093/esr/jcs068 CrossRefGoogle Scholar
Fairbrother, M. (2016). Trust and public support for environmental protection in diverse national contexts. Sociological Science, 3, 359382. https://doi.org/10.15195/v3.a17 CrossRefGoogle Scholar
Fairbrother, M. (2022). Public opinion about climate policies: A review and call for more studies of what people want. PLOS Climate, 1(5). https://doi.org/10.1371/journal.pclm.0000030 CrossRefGoogle Scholar
Franzen, A., & Meyer, R. (2010). Environmental attitudes in cross-national perspective: A multilevel analysis of the ISSP 1993 and 2000. European Sociological Review, 26(2), 219234. https://doi.org/10.1093/esr/jcp018 CrossRefGoogle Scholar
Franzen, A., & Vogl, D. (2013). Acquiescence and the willingness to pay for environmental protection: A comparison of the ISSP, WVS, and EVS*: Willingness to pay for environmental protection. Social Science Quarterly, 94(3), 637659. https://doi.org/10.1111/j.1540-6237.2012.00903.x CrossRefGoogle Scholar
Fritz, M., & Koch, M. (2019). Public support for sustainable welfare compared: Links between attitudes towards climate and welfare policies. Sustainability, 11(15), 4146. https://doi.org/10.3390/su11154146 CrossRefGoogle Scholar
Gaikwad, N., Genovese, F., & Tingley, D. (2022). Creating climate coalitions: Mass preferences for compensating vulnerability in the world’s two largest democracies. American Political Science Review, 116(4), 11651183. https://doi.org/10.1017/S0003055422000223 CrossRefGoogle Scholar
García-García, P., Buendía, L., & Carpintero, Ó. (2022). Welfare regimes as enablers of just energy transitions: Revisiting and testing the hypothesis of synergy for Europe. Ecological Economics, 197, 107434. https://doi.org/10.1016/j.ecolecon.2022.107434 CrossRefGoogle Scholar
Gelissen, J. (2007). Explaining popular support for environmental protection: A multilevel analysis of 50 nations. Environment and Behavior, 39(3), 392415. https://doi.org/10.1177/0013916506292014 CrossRefGoogle Scholar
Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Leiden: Cambridge University Press.CrossRefGoogle Scholar
Harring, N. (2013). Understanding the effects of corruption and political trust on willingness to make economic sacrifices for environmental protection in a cross-national perspective. Social Science Quarterly, 94(3), 660671. https://doi.org/10.1111/j.1540-6237.2012.00904.x CrossRefGoogle Scholar
Harring, N., & Jagers, S. (2013). Should we trust in values? Explaining public support for pro-environmental taxes. Sustainability, 5(1), 210227. https://doi.org/10.3390/su5010210 CrossRefGoogle Scholar
Hirvilammi, T., et al. (2023). Social policy in a climate emergency context: Towards an ecosocial research agenda. Journal of Social Policy, 123. https://doi.org/10.1017/S0047279422000721 CrossRefGoogle Scholar
Inglehart, R. (1995). Public support for environmental protection: Objective problems and subjective values in 43 societies. PS: Political Science and Politics, 28(1), 57. https://doi.org/10.2307/420583 Google Scholar
Inglehart, R. (2008). Changing values among western publics from 1970 to 2006. West European Politics, 31(1–2), 130146. https://doi.org/10.1080/01402380701834747 CrossRefGoogle Scholar
IPCC. (ed.) (2023). Climate Change 2022 - Mitigation of Climate Change: Working Group III Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge:. Edited by Shukla, P. R., et al. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781009157926 Google Scholar
ISSP Research Group. (2019). International Social Survey Programme: Environment III – ISSP 2010. Köln: GESIS Data Archive. https://doi.org/10.4232/1.13271 CrossRefGoogle Scholar
Ivanova, D., et al. (2020). Quantifying the potential for climate change mitigation of consumption options. Environmental Research Letters, 15(9), 093001. https://doi.org/10.1088/1748-9326/ab8589 CrossRefGoogle Scholar
Jensen, C. (2008). Worlds of welfare services and transfers. Journal of European Social Policy, 18(2), 151162. https://doi.org/10.1177/0958928707087591 CrossRefGoogle Scholar
Jones, N., et al. (2009). The influence of social capital on environmental policy instruments. Environmental Politics, 18(4), 595611. https://doi.org/10.1080/09644010903007443 CrossRefGoogle Scholar
Jones, N., Malesios, C., & Botetzagias, I. (2009). The influence of social capital on willingness to pay for the environment among european citizens. European Societies, 11(4), 511530. https://doi.org/10.1080/14616690802624168 CrossRefGoogle Scholar
Kangas, O., & Palme, J. (2007). Social rights, structural needs and social expenditure: a comparative study of 18 OECD countries 1960-2000. In Clasen, J. & Siegel, N. A. (Eds.), Investigating welfare state change: the ‘dependent variable problem’ in comparative analysis (pp. 106129). Cheltenham, UK; Northampton, MA: Edward Elgar Publishing.Google Scholar
Kautto, M. (2002). Investing in services in West European welfare states. Journal of European Social Policy, 12(1), 5365. https://doi.org/10.1177/0952872002012001636 CrossRefGoogle Scholar
Klenert, D., et al. (2018). Making carbon pricing work for citizens. Nature Climate Change, 8(8), 669677. https://doi.org/10.1038/s41558-018-0201-2 CrossRefGoogle Scholar
Koch, M., & Fritz, M. (2014). Building the eco-social state: Do welfare regimes matter? Journal of Social Policy, 43(4), 679703. https://doi.org/10.1017/S004727941400035X CrossRefGoogle Scholar
Korpi, W., & Palme, J. (1998). The paradox of redistribution and strategies of equality: Welfare state institutions, inequality, and poverty in the western countries. American Sociological Review, 63(5), 661687. https://doi.org/10.2307/2657333 CrossRefGoogle Scholar
Kumlin, S., & Haugsgjerd, A. (2017). The welfare state and political trust: bringing performance back in. In Zmerli, S. & van der Meer, T. (Eds.), Handbook on political trust (pp. 285–302). Edward Elgar Publishing. https://doi.org/10.4337/9781782545118 CrossRefGoogle Scholar
Kumlin, S., Stadelmann-Steffen, I., & Haugsgjerd, A. (2018). Trust and the welfare state. In Uslaner, E. M. (Ed.), The Oxford handbook of social and political trust (pp. 385408). New York: Oxford University Press.Google Scholar
Lo, A. Y. (2016). National income and environmental concern: Observations from 35 countries. Public Understanding of Science, 25(7), 873890. https://doi.org/10.1177/0963662515581302 CrossRefGoogle ScholarPubMed
Marquart-Pyatt, S. T., et al. (2019). Climate change views, energy policy preferences, and intended actions across welfare state regimes: Evidence from the European social survey. International Journal of Sociology, 49(1), 126. https://doi.org/10.1080/00207659.2018.1560979 CrossRefGoogle Scholar
Okolikj, M., & Hooghe, M. (2022). Is there a partisan bias in the perception of the state of the economy? A comparative investigation of European countries, 2002–2016. International Political Science Review, 43(2), 240258. https://doi.org/10.1177/0192512120915907 CrossRefGoogle Scholar
Otto, A., & Gugushvili, D. (2020). Eco-social divides in Europe: Public attitudes towards welfare and climate change policies. Sustainability, 12(1), 404. https://doi.org/10.3390/su12010404 CrossRefGoogle Scholar
Parth, A.-M., & Vlandas, T. (2022). The welfare state and support for environmental action in Europe. Journal of European Social Policy, 33(5), 531547. https://doi.org/10.2139/ssrn.4122539 CrossRefGoogle Scholar
Scruggs, L. (2007). Welfare state generosity across space and time. In J. Clasen & N. Siegel (Eds.), Investigating welfare state change. The ‘dependent variable problem’ in comparative analysis (pp. 133165). Edward Elgar Publishing. https://doi.org/10.4337/9781847206916.00017 Google Scholar
Scruggs, L. (2008). Social rights, welfare generosity, and inequality. In P. Beramendi & C. J. Anderson (Eds.), Democracy, inequality, and representation in comparative perspective (pp. 6290). Russell Sage Foundation. http://www.jstor.org/stable/10.7758/9781610440448.7 Google Scholar
Scruggs, L. (2022a). Comparative Welfare Entitlements Project Data Set, Version 2022-01. http://cwep.us/ Google Scholar
Scruggs, L. (2022b) cwep.us, Publications. https://www.cwep.us/home/analysis Google Scholar
Scruggs, L., & Allan, J. P. (2006). The material consequences of welfare states: Benefit generosity and absolute poverty in 16 OECD countries. Comparative Political Studies, 39(7), 880904. https://doi.org/10.1177/0010414005281935 CrossRefGoogle Scholar
Scruggs, L. A., & Ramalho Tafoya, G. (2022). Fifty years of welfare state generosity. Social Policy & Administration, 56(5), 791807. https://doi.org/10.1111/spol.12804 CrossRefGoogle Scholar
Sivonen, J., & Kukkonen, I. (2021). Is there a link between welfare regime and attitudes toward climate policy instruments? Sociological Perspectives, 64(6), 11451165. https://doi.org/10.1177/0731121421990053 CrossRefGoogle Scholar
Sjöberg, O. (2010). Social insurance as a collective resource: Unemployment benefits, job insecurity and subjective well-being in a comparative perspective. Social Forces, 88(3), 12811304. https://doi.org/10.1353/sof.0.0293.CrossRefGoogle Scholar
Figure 0

Figure 1. Social insurance generosity index values for countries included in the study.Source: Scruggs (2022a)

Figure 1

Table 1. Willingness to accept cuts in one’s living standard in order to protect the environment. Number of observations, mean value and standard deviation, per country. Variable values range from (min) 1 to (max) 5

Figure 2

Table 2. Willingness to accept material sacrifices for the sake of environmental protection. Total social insurance generosity, sickness insurance generosity, and unemployment insurance generosity; total and working population. Weighted data

Figure 3

Table 3. Willingness to accept material sacrifices for the sake of environmental protection among unemployed and retirees. Unemployment insurance generosity and pension insurance generosity; unemployed population and retired population. Weighted data

Figure 4

Figure 2. Average marginal effects of social insurance generosity for medium-high- and low-income households, with 95% CI.

Supplementary material: PDF

Sjöstrand supplementary material

Sjöstrand supplementary material
Download Sjöstrand supplementary material(PDF)
PDF 233.5 KB