Participants. This study uses survey data collected by the Netquest polling company between October and November 2021. We targeted respondents from 7 countries in Latin America (Argentina, Brazil, Chile, Colombia, Ecuador, Peru, and Mexico) representing over 80% of greenhouse gas emissions (GHG) in the region. The survey was conducted with nationally diverse samples of these countries using online panels of respondents. Netquest builds its online panels through an opt-in recruitment method, where respondents are randomly selected for survey invitation, using population quotas to produce nationally diverse samples. Netquest is certified with ISO 26362, an international high-quality standard for online panels, and complies with the European Society for Opinion and Market Research (ESOMAR). In general, this means that Netquest engages in a number of quality control steps, including the exclusion of speeders or preventing duplicate responders. Additional information on data quality and sampling is available in Netquest technical information reports.
We chose Netquest because it provides comprehensive national panels in Latin America, which allow us to relatively approximate the national representativeness of the participating countries. In this study, respondents were recruited to match the demographic composition, particularly of gender, age, and education, laid out by the national census of each country surveyed. The final sample comprises 5.400 participants, with all respondents above 18 years of age. Each country surveyed had roughly 830 respondents. The only exception was Ecuador, where just 421 respondents were interviewed due to panel coverage constraints. For demographic information broken for each of the countries, see Supplementary Table 1. Overall, the sample of each country is balanced with respect to gender, approximating closely to their respective official statistics. Moreover, one main concern of online samples is that their respondents tend to be more educated than the general population, a tendency that can be exacerbated in low and middle-income countries. In general terms, our sample is well-distributed in terms of education, with the overrepresentation of educated participants more pronounced in Ecuador and Peru (Supplementary Table 1). However, even when we controlled for education the overall interpretation of our results remained unaltered. Finally, our country samples are all broadly diverse in other important demographic indicators, including race, religion, and socio-economic status (Supplementary Table 1), which are known to correlate with important dimensions of climate change perceptions.
Materials. Questionnaires were first elaborated in Portuguese and then translated into Spanish by a native speaker and taking into account translation/back-translation procedures. Concerns about comprehension and translatability were addressed by testing and piloting of questionnaires in all seven countries contemplated in the survey.
Dependent measures (climate change perceptions). Building on previous research, we measure climate change beliefs by focusing on the critical dimensions of its existence, its causes, and its consequences.- To measure the belief about the existence of climate change- participants were asked, “You may have heard the idea that the world’s climate is changing due to increases in average temperatures over the past 150 years. What’s your personal opinion on this? Do you think that the world’s climate is changing?” Respondents could then choose one of the following responses: “Yes (1), No (0), Don’t know.” Respondents who answered “yes” or “no” were then asked: “How sure are you that climate change is [not] happening?” (0 = not sure at all, 3 = extremely sure). Responses to these questions were recoded to create an eight-point certainty scale (0 = extremely sure global warming is not happening, 4 = don’t know, 8 = extremely sure global warming is happening). The belief about the causes of climate change was assessed with the question, “Assuming climate change is happening, do you think it is….” Respondents selected one of the four options: “Caused mostly by human activities, Caused by human activities and natural changes, Caused mostly by natural changes in the environment, Neither because global warming isn’t happening.” Following standard practice, respondents who answered “caused mostly by human activities” were coded as 1, while all others as 0._ Finally, we measure the perception of the impacts of climate change with the standard question used in the literature: “How good or bad do you think the impact of climate change will be on people across the world?” The question was measured using an 11-point scale, ranging from 0 (extremely bad) to 10 (extremely good).
Independent variables
Psychological variables
Knowledge about climate change was measured using one question that embraces participants’ subjective perception of their own expertise (subjective knowledge), and another that focuses on respondents’ knowledge about the human causes of climate change (objective knowledge). We measured subjective knowledge by asking respondents the following question: “How much do you feel you know about climate change?” Participants rated their perceived amount of knowledge on a four-point scale (1 = nothing, 2 = a little, 3 = a moderate amount, 4 = a lot) but with a fifth option for people who “don’t know”. Objective knowledge was measured by asking participants, “Indicate whether you think each of the following is a major cause of climate change, or not a cause at all.” Six items were adopted from Guy et al., which include three true causes (“Pollution/emissions from business and industry”, “People driving their cars”, “Destruction of tropical forests”) and three false causes (“Use of aerosol spray cans”, “Use of chemicals to destroy insect pests”, and “Nuclear power generation”). Responses of items were coded as correct (1) or incorrect (0) and summed to create a total score ranging from 0 to 6.
Beliefs about science were measured through a question about scientific consensus around climate change (“consensus heuristic”), and another about trust in scientists (“source heuristic”). These two measures comprise the two main heuristics about science and climate change that have been implicated in the existing literature. In the case of scientific consensus about climate change, participants were asked, “Which comes closest to your own view?” The response options were: “Most scientists think global warming is happening”, “A lot of disagreement among scientists about whether or not global warming is happening”, “Most scientists think global warming is not happening”, and “I do not know enough to say.” Respondents who answered “Most scientists think global warming is happening” were coded as 1, and all other answers as 0. We measured trust in scientists by asking, “How much do you trust scientists as a source of information about climate change?” Participants rate their level of trust on a four-point scale (1 = strongly distrust; 4 = strongly trust).
Environmental values. To measure environmental values, we use a 4-item revised version from the New Ecological Paradigm scale based on previous research. The items include “Humans are severely abusing the environment”, “The so-called ‘ecological crisis’ facing humankind has been greatly exaggerated”, “The earth is like a spaceship with very limited room and resources”, and “If things continue on their present course, we will soon experience a major ecological catastrophe.” Items were responded to on a four-point scale (1 = strongly disagree; 4 = strongly agree). There was also a fifth option for people who “don’t know”. The participants who chose the “don’t know” option were treated as missing values on this scale. The NEP scale was constructed by taking the mean scores across these 4 items. The original scale showed poor internal reliability across the whole sample (α = 0.37), which a closer analysis revealed to be driven by the answers to the second item, “The so-called ‘ecological crisis’ facing humankind has been greatly exaggerated”. Consequently, we conducted the analyses just on the three positively worded items, which provides an improved reliability on the scale. However, this measure continues to carry limitations, given its alpha (0.53) did not exceed the conventional 0.60 criteria. While it is common that the reliability of psychological measures may be lower in the non-Westerners contexts, we suggest caution in interpreting the results based on the NEP scale.
Cultural worldviews. Values were measured using the individualism and egalitarianism cultural worldviews derived from cultural cognition theory. We operationalized Individualism worldview scale with 5 items based on previous studies. Items include “If the government spent less time trying to fix everyone’s problems, we’d all be a lot better off”, “Our government tries to do too many things for too many people. We should just let people take care of themselves”, “The government interferes too much in our everyday lives”, “Government regulation of business usually does more harm than good”, and “People should be allowed to make as much money as they can, even if it means some make millions while others live in poverty.” All items were responded to a four point-scale (1 = strongly disagree; 4 = strongly agree). The individualism scale is constructed by taking the mean scores across these 5 items, which together showed acceptable internal reliability (α = 0.67). Note that the individualism scale has been reported in other studies in the Global South with similar internal consistency, underscoring the reliability of this measure in our study.
Egalitarianism worldview is also a composite measure with 5 items. Items include: “The world would be a more peaceful place if its wealth were divided more equally among nations,” “In my ideal society, all basic needs (food, housing, health care, education) would be guaranteed by the government for everyone,” “I support government programs to get rid of poverty,” “Discrimination against minorities is still a very serious problem in our society.” All items were responded to a four point-scale (1 = strongly disagree; 4 = strongly agree). As in the case of the individualism scale, the scale of egalitarianism was created by taking the mean scores across these 5 items. The scale showed relatively strong internal reliability across the overall sample (α = 0.72).
Personal experience with extreme weather events. This measure was assessed by asking respondents to recall how often in the last five years they experienced extreme weather events (e.g., severe heat waves, droughts, freak storms, flooding etc.) while residing in their home country. Following previous studies, items were measured on a five-point scale (1 = never, 2 = once, 3 = twice, 4 = more than three, 5 = can’t remember) and responses were combined and dichotomized to form a dummy describing personal experience (0 = no experience, 1 = experience).
Political ideology variables. Political ideology was measured using two different questions. First, respondents were asked to rate how right or left they are on a ten-point scale (1 = left, 10 = right). Second, respondents were asked to choose the option that better characterizes their political values in a conservative-progressive dimension. The response options were rated on a five-point scale (1 = very progressive, 5 = very conservative). We opted to use the word “progressive” rather than “liberal” because “liberal” in Latin America can be associated with the orthodox economic policy preferences of the political right. “Progressive” (progresista in Spanish or progressista in Portuguese) provides a better characterization of what the existing literature labels as “liberal” in this context.
Socio-Demographics variables. The demographic variables include gender (binary: male or female), age (in years), education level (ordinal: elementary (primary) or less; high school or equivalent; and undergraduate or more), religion (Evangelical Christian/Traditional; Evangelical Protestant; Evangelical Pentecostal; Evangelical Neo-Pentecostal; Other Evangelical denominations; Catholic; Kardecist/Spiritualist; Jewish; Agnostic; Atheist; Other Religion.), race (White; Black or Pardo); Indigenous; Other. In all countries (except for Brazil), we also include “Mestizo” as an option choice, given that it is a racial classification present in these countries), income-based on minimum wages (from 1 to 10 minimum wages or more).
Statistical Analysis
To evaluate what factors determine climate change beliefs in Latin America we estimated the following equation by ordinary least squares for each country and our whole sample:
$${y}_{i}= {\beta }_{0}+ {Psychological Variables}_{i}^{{\prime }}\gamma + {Political Ideology Variables}_{i}^{{\prime }}\alpha +{SocioDemographic Variables}_{i}^{{\prime }}\mu +{\epsilon }_{i}$$
where \({y}_{i}\) is one of our three dependent variables (belief about the existence of climate change, belief about the causes of climate change, and perception about the impacts of climate change) for individual \(i\); \({Psychological Variables}_{i}\) is a vector of eight psychological variables of individual \(i\); \(Political Ideology Variables\) is a vector of two political ideology variables of individual \(i\); and \({SocioDemographic Variables}_{i}\) is a vector of six population-related characteristics of individual \(i\). Reference baseline for education is “elementary (primary) or less”, for religion is “atheist” and for income is “0–1 minimum wages”. Standard errors presented in the results are robust to heteroscedasticity and all estimations include sample weights.
For belief about the existence of climate change, the vector of parameters of interest, \(\gamma ,\) \(\alpha\) and \(\mu\), can be interpreted as changes in the climate change belief scale (0–8) given a unit increase in the covariates. For belief about the causes of climate change, each parameter of the vectors \(\gamma ,\) \(\alpha\) and \(\mu\) multiplied by one hundred can be interpreted as percentage point changes in the probability of believing climate change is mainly caused by human activity given a unit increase in the binary covariates. For perception about the impacts of climate change, \(\gamma ,\) \(\alpha\) and \(\mu\) multiplied by one hundred can be interpreted as percentage point changes in the probability of believing climate change impacts will be negative given a unit increase in the binary covariates.
To gauge the robustness of our ordinary least squares estimates we performed several tests by employing alternative methods to estimate the parameters of our main equation. First, we estimated three multilevel (hierarchical) models, one for each dependent variable, with a random intercept specified at the country-level (Supplementary Table 10). Second, we estimated three fixed-effects models, one for each dependent variable, by including country-level effects (Supplementary Table 11). Both of these approaches allow us to control for possible time-invariant unobserved heterogeneity between respondents of each country. Third, we used an ordinal logistic model to regress belief about the existence of climate change on the three vectors of predictors (Supplementary Table 12). Finally, we estimated two binary logistics models regressing the belief about the causes of climate change and perception about the impacts of climate change also on the three vectors (Supplementary Tables 13 and 14). Overall, the results are substantially similar irrespective of the alternative specifications of our main equation.
Ethics Statement
This study was approved by the Ethical Review Committee of the Fundação Getulio Vargas (FGV) (Ethics no. 053/2021). All participants informed voluntary consent with an IRB-approved consent protocol before being allowed to proceed to the full questionnaire. The survey did not collect identifying information about respondents and/or use any type of deception. The panel provider modestly compensated the respondents with points they accumulate and then exchange for goods or cellphone minutes.
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