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  • 标题:A multidimensional analysis of public environmental concern in Canada.
  • 作者:Zhou, Min
  • 期刊名称:Canadian Review of Sociology
  • 印刷版ISSN:1755-6171
  • 出版年度:2013
  • 期号:November
  • 语种:English
  • 出版社:Canadian Sociological Association
  • 摘要:A wealth of cross-national research shows that environmental concern is rooted in a complex combination of social, economic, ecological, political, and demographic factors (Brechin 1999; Brechin and Kempton 1994, 1997; Diekmann and Franzen 1999; Dietz, Stern, and Guagnano 1998; Dunlap and Jones 2002; Dunlap and Mertig 1995, 1997; Dunlap and York 2008; Franzen 2003; Franzen and Meyer 2010; Gelissen 2007; Haller and Hadler 2008; Hayes 2001; Jones and Dunlap 1992; Klineberg, McKeever, and Rothenbach 1998; Knight and Messer 2012; Marquart-Pyatt 2012; Xiao and Dunlap 2007). Still, although considerable attention has been given to cross-national differences in environmental concern, few such studies exist on the Canadian case. The exceptions have focused on environmental activism (McFarlane and Hunt 2006; Tindall, Davies, and Mauboules 2003), on specific environmental behavior (Kennedy et al. 2009), on a single province (McFarlane and Hunt 2006; Tindall, Davies, and Mauboules 2003), on a single geographic area (Wall 1995a, 1995b), or are limited to group comparisons such as urban-rural differences (Huddart-Kennedy et al. 2009) and ethnical group differences (Deng, Walker, and Swinnerton 2006). In contrast, this study systematically examines a wealth of factors associated with Canadians' environmental concerns, including affluence, local and global environmental degradation, education, consumption of mass media, political orientation, gender, and age.
  • 关键词:Canadians;Environment;Environmental degradation;Environmental research

A multidimensional analysis of public environmental concern in Canada.


Zhou, Min


ENVIRONMENTAL DEGRADATION IS recognized as one of the top challenges facing the world today (IPCC 2007; UNDP 2010; World Bank 2010). In Canada, environmental issues have drawn considerable public attention. (1) Recent surveys indicate that 26.5 percent of Canadians view environmental degradation as the most or second most serious problem in today's world and that 70.6 percent of Canadians state that environmental protection is more important than economic growth (WVS 2009). (2) Moreover, 66.0 percent of Canadians think that the government is paying too little attention to the environment (ARPO 2010). This public concern for the environment is important as it provides a much-needed first step toward better environmental protection (Dietz, Dan, and Shwom 2007; Leiserowitz, Kates, and Parris 2006; McCright and Dunlap 2011). As Giddens (2009) has noted, policies designed to solve environmental problems are unlikely to work effectively unless they enjoy broad public support.

A wealth of cross-national research shows that environmental concern is rooted in a complex combination of social, economic, ecological, political, and demographic factors (Brechin 1999; Brechin and Kempton 1994, 1997; Diekmann and Franzen 1999; Dietz, Stern, and Guagnano 1998; Dunlap and Jones 2002; Dunlap and Mertig 1995, 1997; Dunlap and York 2008; Franzen 2003; Franzen and Meyer 2010; Gelissen 2007; Haller and Hadler 2008; Hayes 2001; Jones and Dunlap 1992; Klineberg, McKeever, and Rothenbach 1998; Knight and Messer 2012; Marquart-Pyatt 2012; Xiao and Dunlap 2007). Still, although considerable attention has been given to cross-national differences in environmental concern, few such studies exist on the Canadian case. The exceptions have focused on environmental activism (McFarlane and Hunt 2006; Tindall, Davies, and Mauboules 2003), on specific environmental behavior (Kennedy et al. 2009), on a single province (McFarlane and Hunt 2006; Tindall, Davies, and Mauboules 2003), on a single geographic area (Wall 1995a, 1995b), or are limited to group comparisons such as urban-rural differences (Huddart-Kennedy et al. 2009) and ethnical group differences (Deng, Walker, and Swinnerton 2006). In contrast, this study systematically examines a wealth of factors associated with Canadians' environmental concerns, including affluence, local and global environmental degradation, education, consumption of mass media, political orientation, gender, and age.

Moreover, in this study I treat environmental concern as multifaceted and examine several specific dimensions of this concept (Daniels et al. 2012; Klineberg, McKeever, and Rothenbach 1998). Previous research has tended to both conceptualize environmental concern as a single dimension and to assume that a diverse variety of measures can be used to operationalize that dimension. Researchers' tendency to apply omnibus measures and term various types of perceptions as environmental concern has frequently resulted in misspecification of models. Different dimensions within environmental concern may be related to various factors in different ways. For instance, Diekmann and Franzen (1999) in a cross-national study find that wealth and awareness of environmental threat are negatively correlated, whereas willingness to sacrifice personally to protect the environment is positively associated with wealth. The contradictory findings in the existing literature partly arise from this measurement problem, which "hinders the process of the cumulative development of scientific knowledge" (Ferraro and LaGrange 1987:70). Using the Canadian segment of the 2006 World Values Survey (WVS) data, I examine four dimensions of environmental concern--environmental threat awareness, priority of environmental protection, willingness to pay for environmental protection, and participation in environmental organizations. I consider how key social, economic, ecological, political, and demographic factors shape these aspects of environmental concern in Canada.

THE CORRELATES OF ENVIRONMENTAL CONCERN

In this section, I review the literature on the correlates of environmental concern. Although I specify hypotheses about environmental concern as a general concept, in the analyses I test how it could reflect four different outcomes. The correlates of environmental concern can be roughly grouped into five groups denoting economic (affluence), ecological (local and global environmental degradation), social (education and consumption of mass media), political (political orientation), and demographic (gender and age) characteristics.

Affluence

The level of environmental concern has long been assumed to be higher among those with more income (Diekmann and Franzen 1999; Franzen 2003; Franzen and Meyer 2010; Jones and Dunlap 1992; Klineberg, McKeever, and Rothenbach 1998). This affluence argument is consistent with the postmaterialist thesis developed by Inglehart (1990, 1995, 1997). Those with more wealth are able to value postmaterialist values such as self-expression, individual rights, and quality of life rather than worrying about material economic and physical security. Environmental concern is often cited as a key example of postmaterialism (Inglehart 1995) because with economic security citizens are then able to shift their attention to the quality of the environment. Affluent citizens display more pro-environmental attitudes because of this shift from materialist to postmaterialist values.

H1: Income has a positive effect on the level of environmental concern in Canada.

Local Environmental Degradation

A typical "challenge-response" model suggests that direct experience of environmental problems triggers environmental concern. Citizens become concerned about the environment when they perceive deleterious effects of environmental degradation in their surroundings (Brechin and Kempton 1994; Dunlap and Mertig 1995; Franzen 2003; Knight and Messer 2012; Marquart-Pyatt 2012). Some environmental problems are perceived more directly than others. In general, a cleavage can be observed between local and global environmental degradation. For instance, local water and air pollution are more directly felt than global problems, such as global warming and biodiversity loss. Because local environmental degradation is often directly experienced, environmental concern is therefore affected by the perception of local environmental problems.

H2: Perceived local environmental degradation has a positive effect on the level of environmental concern in Canada.

Interaction between Affluence and Local Environmental Degradation

Inglehart (1995, 1997) formulates the "objective problems and subjective values" (OPSV) thesis in order to bridge the affluence thesis and the "challenge-response" model. The OPSV thesis provides an explanation of why there are different sources of environmental concern for people with different levels of wealth (Brechin 1999). Although postmaterialist values generate environmental concern in affluent individuals, for less well-off individuals, environmental concern is a response to harsh local environmental conditions, such as water and air pollution. Therefore, the OPSV thesis is that there is a negative interaction effect between affluence and perceived local environmental degradation. Local environmental problems are a major source of environmental concern among less well-off citizens, but they are less important for affluent citizens who already embrace postmaterialist values.

H3: Income and perceived local environmental degradation have a negative interaction effect on the level of environmental concern in Canada.

Global Environmental Degradation

The world society (or world polity, world culture) perspective emphasizes the construction and diffusion of cultural models in the world society (Boli and Thomas 1997, 1999; Meyer et al. 1997). According to the world society framework, a world model that emphasizes interdependency between human society and the environment has become pervasive, legitimized, and even fashionable across the globe (Frank, Hironaka, and Schofer 2000; Frank, Longhofer, and Schofer 2007; Schofer and Hironaka 2005). The rapid rise in public environmental concern is the result of the expansion of this pro-environmental world model. The diffusion of the environmentalist model is justified and "rationalized" by scientific findings about global environmental problems. Knowledge about global environmental degradation is constructed as the foundation of the world model. If people are aware of problems as global climate change and biodiversity loss then they are more likely to sympathize with and adopt the pro-environmental world model.

H4: Perceived global environmental degradation has a positive effect on the level of environmental concern in Canada.

Social Institutions (Education and Mass Media)

Scholars have long emphasized the importance of social institutions in spreading public concern about the environment. In particular, the expansion of higher education and mass media has greatly extended the cognitive horizons of the public regarding environmental issues (Dalton 1984; Nevitte and Kanji 1995). Citizens become more concerned about the environment "because they are more interested, informed, and educated about the relevant issues" through education and mass media (Nevitte and Kanji 1995:88).

Various studies find that education fosters environmental concern (Dietz, Stern, and Guagnano 1998; Dunlap and Jones 2002; Jones and Dunlap 1992; Kemmelmeier, Krol, and Kim 2002; Klineberg, McKeever, and Rothenbach 1998; Marquart-Pyatt 2012). Schools are considered as major agents that diffuse progressive knowledge. Both the postmaterialist thesis (Inglehart 1990, 1997) and world society theory (Drori 2000; Drori et al. 2003; Schofer, Ramirez, and Meyer 2000) view education, especially higher education, as the conduit through which pro-environmental social ideas are instilled. More education increases an individual's contact with these ideas.

H5: Education has a positive effect on the level of environmental concern in Canada.

The other social institution that has a great impact on public environmental concern is the mass media, including newspapers, television, and the Internet. The mass media spreads scientific findings and popularizes environmentalist ideas among the public. Many environmental problems, especially those global ones, are not easily observed. Knowledge about them is disseminated mainly by mass media. The positive relationship between consumption of mass media and environmentalism has been studied extensively (Ahern 2012; Boykoff and Boykoff 2007; Holbert 2005; Holbert, Kwak, and Shah 2003; Major 2000; Major and Atwood 2004).

H6: Exposure to mass media has a positive effect on the level of environmental concern in Canada.

Political Orientation

Environmental concern implies changing the existing social, political, and economic system, so it is often highly politicized. In particular, a political divide is observable between liberals and conservatives. Conservatives champion small government and free-market capitalism. Their "system-justification tendency" makes them supportive of the existing societal system (Feygina, Jost, and Goldsmith 2010; Jost, Nosek, and Gosling 2008; McCright and Dunlap 2011). In contrast, liberals support the government's role in promoting public goods, providing social services, and regulating markets. Environmental protection typically invites more governmental intervention into free markets, which is inconsistent with conservative values. In contrast, since liberals generally believe that it is a proper role of the government to protect collective welfare, environmental protection should be better embraced by liberals (McCright and Dunlap 2011:160). Hence, environmental concern is related to individuals' political orientation.

A similar ideological division is discernible within the Canadian political landscape. Scholars have observed appreciable and systematic liberal/conservative (or so-called "left/right") differences in the opinions of Canadian citizens (Benoit and Laver 2006; Cochrane 2010; Cross and Young 2002; Nevitte and Cochrane 2007; Nevitte et al. 2000). Self-identified liberals are more likely to express environmental concern than their conservative counterparts (Hamilton 2008, 2011; McCright and Dunlap 2010, 2011; Wood and Vedlitz 2007).

H7: A politically conservative identity has a negative effect on the level of environmental concern in Canada.

Interaction between Political Orientation and Education

Recent scholarship has observed an interesting interplay between political orientation and education in their effects on environmental concern (McCright and Dunlap 2011). Environmental science directly connects to policy formation and regulation of private interests. This regulatory nature of environmental science accounts for conservatives' growing distrust of scientific findings about environmental degradation, particularly given this group's general opposition to government regulation (Gauchat 2012). Better educated conservatives are more suspicious of environmental science's connection with regulatory policies and are more involved in political debates about environmental issues (Gauchat 2012; Yearley 1994). They are more likely to deny environmental problems and are less concerned about the environment. In contrast, education reinforces liberals' beliefs in environmental science (McCright and Dunlap 2011). Hence, education has a positive effect on the level of environmental concern for self-reported liberals, while it has a weaker or negative effect on the level of environmental concern for self-reported conservatives.

H8: There is a negative interaction between education and self-reported political conservativeness on the level of environmental concern in Canada.

Demographics (Gender and Age)

Demographic features including gender and age are considered as relevant predictors of environmental concern. First, there is a gender gap in environmental concern. Gendered socialization theory suggests that men and women experience different socialization processes. Women are socialized to play the role of nurturers and care providers and they value health and safety more than men (Davidson and Freudenburg 1996; Zelezny, Chua, and Aldrich 2000). Thus, women often express stronger concern about the environment than men (Bord and O'Connor 1997; Kemmelmeier, Krol, and Kim 2002; Stern, Dietz, and Kalof 1993; Zelezny, Chua, and Aldrich 2000).

H9: Men have a lower level of environmental concern than women in Canada.

Second, young individuals are more likely to express pro-environmental attitudes than older people (Jones and Dunlap 1992; Kanagy, Humphrey, and Firebaugh 1994; Klineberg, McKeever, and Rothenbach 1998). The postmaterialism thesis contends that, as a result of the postwar era's unprecedented economic and physical security, younger generations are more exposed to postmaterialist values. Younger people are also more influenced by the recent diffusion of the pro-environmental world cultural model. (3)

H10: Age has a negative effect on the level of environmental concern in Canada.

DATA AND METHOD

I use the 2006 Canadian data from the recent wave of the WVS, the WVS Wave 5, collected by the World Values Survey Association. (4) A total of 2,164 individuals were asked to state their opinions and attitudes about environmental issues.

Dependent Variables: Environmental Concern

I examine four variables, each of which is designed to indicate a particular dimension of environmental concern. The first dimension, environmental threat awareness, captures citizens' awareness of the severity of environmental problems in today's world. It is measured by a binary variable denoting whether an individual views environmental degradation as a top threat for the world as a whole. The second dimension, priority of environmental protection, asks respondents to consider the trade-off between economic growth and environmental protection. It is measured by a binary variable denoting whether an individual considers environmental protection more important than economic growth. The third dimension, willingness to pay for environmental protection, measures citizens' willingness to make personal financial sacrifices in order to protect the environment. It is measured by an interval variable about an individual's willingness to give part of the income or pay more taxes for environmental protection. The fourth dimension, participation in environmental organizations, looks into direct engagement in environmentalist activities. It is measured by a binary variable denoting whether an individual is a member of environmental organizations. The first two dimensions cover the cognitive aspect of environmental concern, whereas the third and fourth dimensions capture its behavioral aspect. Table 1 provides a summary of variables used to measure each of the four dimensions.

Table 2 presents descriptive statistics and correlations among the four dimensions. Twenty-seven percent of Canadians view environmental pollution as the top challenge facing the world. Seventy-one percent of Canadians consider environmental protection more important than economic growth. Canadians on average show modest willingness to pay for environmental protection. The average score is 3.46 on a 7-point scale that ranges from strong unwillingness (0) to strong willingness (6). Only 15 percent of Canadians have ever participated in any environmental organizations. The correlations among these dimensions are positive but moderate indicating that the dimensions are conceptually different.

Independent Variables

The explanatory variables used in the analysis include age, gender, the level of education, the level of income, perceived environmental degradation, mass media usage, and political orientation. Table 3 displays the measurement for each variable.

Table 4 shows basic descriptive statistics and correlations of these variables. None of the correlations are alarmingly high, indicating that multicollinearity is not a concern in the regression analysis. (5)

Method

Two types of models are used in the analysis, depending on the nature of the dependent variables. Environmental threat awareness, priority of environmental protection, and participation in environmental organizations are binary variables and are analyzed using logistic regression models. I define p as the probability of the binary dependent variable equal to 1 (in this case, the probability that the respondent expresses environmental concern) and let p be modeled using a logit link function. The model is specified as follows:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], (1)

where LEnvi and GEnvi stand for perceived local and global environmental degradation, respectively, and Poli denotes political orientation. Other variables are self-explanatory, [beta] is the coefficient and [epsilon] is the error term.

Willingness to pay for environmental protection is measured on a 7-point scale from 0 (strong unwillingness) to 6 (strong willingness), so I use the ordinary least squares (OLS) model. I define Y as the level of willingness to pay, and specify the model as follows. The explanatory variables are the same as those in Equation (1).

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (2)

To ascertain the best fitting model, I estimate a series of nested models and then use stepwise (forward) modeling to select the final model. (6) I also use the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) as the indicator of the goodness of fit across models (Akaike 1974; Raftery 1995) where smaller values of the information criterion indicate a better fit to the data.

RESULTS

I apply regression models to the four dimensions of environmental concern individually and present the results in four separate tables. The model specification follows a similar procedure. For all four dimensions, I begin with the baseline Model 1 that only includes individuals' basic sociodemographic characteristics--age, gender, education, and income. Building on Model 1, Model 2 investigates the effects of perceived local and global environmental degradation. Model 3 incorporates mass media consumption into the modeling. Then, political orientation is added into Model 4, which is a complete model containing all explanatory variables except interaction terms. Models 5 and 6 further bring in the interaction between income and local environmental degradation and the interaction between education and political orientation, respectively. Finally, I use the stepwise (forward) model selection procedure to select significant explanatory variables into the model while dropping insignificant variables. Model 7 shows the final model resulting from this selection procedure. For all dimensions, Model 7 generates the smallest AIC and BIC values, suggesting the best model fit. (see Tables 5-8)

Environmental Threat Awareness

What types of Canadians are more likely to view environmental problems as a serious threat? The results from a series of logistic models designed to answer this question are provided in Table 5. Among all explanatory variables, age, gender, perceived global environmental degradation, and conservative orientation are significantly associated with the level of environmental threat awareness. Specifically, younger people and men are more likely to recognize environmental problems as a serious problem facing the world. More knowledge about global environmental degradation tends to make people more aware of the seriousness of environmental threat. Self-identified conservatives are less likely to report environmental threat awareness than their liberal counterparts.

Priority of Environmental Protection (Environment-Economy Trade-Off)

What types of Canadians are more likely to choose the environment when facing the potential trade-off between environmental protection and economic growth? The results from logistic models designed to answer this question are shown in Table 6. Among all explanatory variables, education, local and global environmental degradation, and political conservativeness have significant effects on priority of environmental protection.

Specifically, more educated individuals are more likely to choose environmental protection over economic growth. People who perceive local environmental problems actually prefer economic growth to environmental protection. This result contradicts the "challenge-response" model. Bad local environmental conditions do not necessarily make environmental protection more appealing than economic growth. It is possible that people living in bad local environmental conditions actually see more need for economic development and thus tolerate environmental degradation in their local communities. Knowledge about global environmental problems helps people attach higher priority to environmental protection relative to economic growth. Self-reported conservatives are more apt to give higher priority to economic growth when facing the environment-economy trade-off.

Willingness to Pay for Environmental Protection

What types of Canadians are more willing to make financial sacrifices (income or tax) for the purpose of environmental protection? Table 7 presents the OLS models examining what variables affect people's willingness. Significant effects are found in such variables as gender, education, perceived global environmental degradation, political conservativeness, and the interaction between education and political conservativeness.

Specifically, men are more willing to make financial sacrifices for environmental protection than women, and more educated people express a higher level of willingness. Knowledge about global environmental problems promotes this willingness. Self-reported conservatives are less willing to make financial contributions to environmental protection in comparison with self-reported liberals. Moreover, the effect of education is contingent on the political orientation of the respondent. Education promotes environmental concern more effectively among liberals than among conservatives. Although the effect of education decreases for conservatives, it has a consistently positive effect overall. Even for those stalwart conservatives (with a score of 10 in conservativeness), the effect of education remains positive (i.e., .301 - .026 x 10 = .041 in Model 6, or .304 - .026 x 10 = .044 in Model 7).

It is worth noting that after including the interaction term between education and political conservativeness, the main coefficient of political conservativeness does not reach statistical significance (as seen in Models 6 and 7). It does not mean that political conservativeness has no significant effect, however. It simply indicates that when education is zero, the effect of political conservativeness is not significant. This is not a meaningful interpretation, since education cannot take the value of zero in the current scale (it is measured on a scale from 1 to 9). I further estimate Model 8 that uses the centered education and political conservativeness variables. Through centering (i.e., subtracting the mean value from the original value) the two variables, the main coefficients of education and political orientation become more interpretable. Now the main coefficient of education is the effect of education for people with the average political orientation, and the main coefficient of political conservativeness is its effect for those with the average educational level. According to Model 8, gender, education, perceived global environmental degradation, political conservativeness, and the interaction between education and political conservativeness all have significant effects on willingness to pay for the environment. (7)

Participation in Environmental Organizations

What types of Canadians are more likely to participate in environmental organizations? Results from logistic models are shown in Table 8. Education, income, and local and global environmental degradation have significant effects on civic participation. Specifically, more educated and affluent citizens are more likely to join environmental organizations. If people perceive local or global environmental problems, they are more likely to join environmental organizations in hopes of making a difference for the environment.

DISCUSSION

Table 9 summarizes the hypotheses and actual results regarding the effects of various variables on environmental concern along four dimensions. These hypotheses receive different degrees of support from the empirical evidence. Most of the hypotheses do not apply to all dimensions of environmental concern, but can only explain particular dimensions. Below, I discuss how each variable and its related hypothesis perform for each dimension of environmental concern.

H1 (income): The affluence and postmaterialist theories stress the positive effect of wealth, as affluent individuals are assumed to be more concerned about the quality of the environment. The evidence from Canadian society is mixed. Income has no relationship to environmental threat awareness, and affluent individuals are hot necessarily more willing to sacrifice economically for the environment. Nevertheless, affluent citizens are more likely to participate in environmental organizations. Even though wealth does not matter for people's awareness and willingness, it facilitates actual action, such as participation in environmentalist activities.

H2 (local environmental degradation): The "challenge-response" model predicts that local environmental degradation increases environmental concern. This prediction receives support only in the case of engagement in environmental organizations. Local environmental problems generate more participation in environmentalist civic activities. Contrary to the hypothesis, local environmental degradation has a negative effect on the priority of environmental protection relative to economic growth. People living in places with local environmental problems emphasize economic growth even more. In places with local environmental degradation, people see their rate as more tied to economic development regardless of environmental consequences, and they fear unemployment more than local environmental problems. Local environmental degradation has no effect on environmental threat awareness and willingness to pay for environmental protection.

H3 (interaction between income and local environmental degradation): The "OPSV" thesis indicates a negative interaction effect between income and local environmental degradation. However, this hypothesis gets no support from any of the four dimensions. Contrary to the "OPSV" thesis, the effect of local environmental conditions does not differ between affluent and less well-off individuals.

H4 (global environmental degradation): The world society perspective suggests that knowledge of global environmental degradation is constructed as the foundation of the environmentalist world model. Thus, perceived global environmental degradation should have a positive effect on environmental concern. This hypothesis is supported by empirical evidence from all four dimensions. Perceived global environmental degradation is a consistent predictor of environmental concern across all four dimensions.

H5 (education): Both the postmaterialist thesis and world society theory view education as the institutional link between broader pro-environmental social values and individual environmental concern. The results here echo the importance of education. It matters for three of the four dimensions, except for environmental threat awareness. More education does not necessarily make people more likely to view environmental degradation as a top threat facing the world. However, education significantly elevates the importance of environmental protection relative to economic growth, and increases people's willingness to make material commitments to environmental protection. More educated people are more willing to make financial contributions and more likely to directly engage in environmentalist activities.

H6 (mass media): Consumption of newspapers, television, and the Internet is supposed to spread environmental concern. However, this hypothesis is not supported for any of the four dimensions. (8) Frequent access to mass media does hot necessarily generate more concern, but may produce apathy about environmental issues (Shanahan and McComas 1997; Shanahan, Morgan, and Stenbjerre 1997). The content of the media nowadays is multifaceted. Environmentalist messages may be inundated or even offset by the massive amount of information carried in the media. For instance, consumerism is prevalent in the content of today's mass media (Good 2007). Those who are more exposed to mass media can become more materialistic, an attitude that inhibits the development of environmental concern.

H7 (political orientation): Environmental concern calls for changes to the current societal system and more governmental involvement. As a result, environmental concern is often politicized. This politicization thesis argues that compared with liberals, conservatives are less likely to develop environmental concern due to their opposition to regulatory policies and a greater role of the government. This hypothesis is found to be true for environmental threat awareness, priority of environmental protection over economic growth, and willingness to pay for environmental protection. Self-reported conservatives are less likely to consider today's environmental problems as a major threat. They also tend to prefer economic growth over environmental protection, and are less willing to make financial contributions to environmental protection. Nevertheless, in terms of participation in environmental organizations, conservatives and liberals do not differ.

H8 (interaction between education and political orientation): The politicization thesis further argues that the effect of education varies, depending on whether the person is liberal or conservative. While more education makes liberals develop a higher level of environmental concern, the effect of education is weaker or even negative for conservatives. The findings here suggest that this negative interaction effect applies to the willingness to pay for environmental protection, but not the other dimensions. While more education makes liberals more willing to make financial contributions to environmental protection, this willingness-promoting effect of education is not so salient among conservatives. Nevertheless, although education has a smaller effect on conservatives, its effect is generally positive, even for those staunch conservatives. Hence, it is not well-educated conservatives who are the most resistant to environmental concern. If is actually poorly educated conservatives who demonstrate particularly low concern.

H9 (gender): Gendered socialization theory implies that women are more environmentally concerned than men. The results here, however, indicate that in Canada it is men who are more aware of environmental threat and more willing to make financial sacrifices for environmental protection. Nevertheless, when it comes to the trade-off between environmental protection and economic growth, men are not more likely to choose environmental protection. There is no significant gender gap in participation in environmental organizations either.

H10 (age): Both the postmaterialist thesis and world society theory propose that young people are more environmentally concerned than older people. The results show that this age difference only applies to environmental threat awareness. While young citizens are indeed more aware of the danger of environmental problems, they are not more willing to sacrifice economic growth or financial resources for environmental protection than older people. Nor are they more active in participation in environmental organizations. In other words, more awareness among young people does not translate into more actual commitment to environmental protection.

CONCLUSION

This study leads us to two important conclusions. First, it reveals which Canadians are most concerned about the environment. Second, it confirms that environmental concern in Canada is multidimensional. I elaborate on the two conclusions below.

Which Canadians are most concerned about the environment? The existing literature is mainly based on cross-national studies and finds that affluence, perceptions of local and global environmental degradation, education, consumption of mass media, political orientation, gender, and age are all potentially related to environmental concern (Brechin 1999; Brechin and Kempton 1994, 1997; Diekmann and Franzen 1999; Dietz, Stern, and Guagnano 1998; Dunlap and Jones 2002; Dunlap and Mertig 1995, 1997; Dunlap and York 2008; Franzen 2003; Franzen and Meyer 2010; Gelissen 2007; Haller and Hadler 2008; Hayes 2001; Jones and Dunlap 1992; Klineberg, McKeever, and Rothenbach 1998; Knight and Messer 2012; Marquart-Pyatt 2012; Xiao and Dunlap 2007). Canada's public concern for the environment displays interesting patterns, some of which deviate from those revealed in cross-national settings.

The results here show that not all these individual-level characteristics are consistently associated with environmental concern in Canada. Education, knowledge about global environmental problems, and political orientation are three most reliable predictors. More education and knowledge of global environmental reality raise public concern. Environmental concern in Canada is also politicized, and is associated with people's political orientation. Liberals are more concerned about the environment than conservatives. These findings confirm the general applicability of world society theory (Frank, Hironaka, and Schofer 2000; Frank, Longhofer, and Schofer 2007; Schofer and Hironaka 2005) and the politicization perspective (Hamilton 2008, 2011; McCright and Dunlap 2010, 2011; Wood and Vedlitz 2007) to environmental concern in Canada. Taken together, they reflect two important forces that impel Canadian society to confront environmental degradation--scientific knowledge and liberal politics. Accordingly, in order to promote public environmental concern, we need to better inform people of environmental science and promote liberal policies. On the other hand, lack of environmental knowledge and conservative politics remain two obstacles toward a more environment-friendly society emerging in Canada.

Instead of employing a general measure of environmental concern, I distinguish four distinctive dimensions in the analysis. They capture both cognitive and behavioral components of environmental concern, and also reflect differing aspects of commitment to environmentalism. The results show that the four dimensions are shaped by different combinations of variables, and that some variables are only associated with certain dimensions. They generate more nuanced understanding of existing theories about environmental concern. First, the affluence argument derived from postmaterialist theory (Diekmann and Franzen 1999; Franzen 2003; Franzen and Meyer 2010; Inglehart 1995; Jones and Dunlap 1992; Klineberg, McKeever, and Rothenbach 1998) only applies to participation in environmental organizations. While wealth facilitates environmentalist civic activities, affluent people do not show more awareness of environmental threat or more willingness to pay for environmental protection. Second, the "challenge-response" model (Brechin and Kempton 1994; Dunlap and Mertig 1995; Franzen 2003; Knight and Messer 2012; Marquart-Pyatt 2012) performs well only for participation in environmental organizations. Local environmental degradation does not stimulate more demand for environmental protection, although it does generate more participation in environmentalist activities. Third, the age or generation effect implied by postmaterialist theory (Jones and Dunlap 1992; Kanagy, Humphrey, and Firebaugh 1994; Klineberg, McKeever, and Rothenbach 1998) only holds for the awareness of environmental threat. Young people indeed show more awareness of environmental threat than older people, but they are not more likely to take actions for environmental protection. Last, gendered socialization theory (Bord and O'Connor 1997; Kemmelmeier, Krol, and Kim 2002; Stern, Dietz, and Kalof 1993; Zelezny, Chua, and Aldrich 2000) does not explain well gender differences of environmental concern in Canada. On average it is actually Canadian men who display a higher level of environmental threat awareness and willingness to pay for environmental protection than women. Nevertheless, there is no gender gap in participation in environmentalist activities.

In light of the revealed differences among different dimensions, we should avoid making sweeping theoretical claims about environmental concern in general. Environmental concern is multidimensional and must be approached through a multidimensional lens. Future studies should pay attention to the nuances among different dimensions and more precisely theorize the mechanisms underpinning various dimensions of environmental concern.

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MIN ZHOU

University of Victoria

Min Zhou, Department of Sociology, University of Victoria, Cornett Building A359, 3800 Finnerty Road, Victoria, BC, Canada V8W 3P5. E-mail: [email protected] or [email protected]

(1.) Environmental concern can be defined as "the awareness or insight of individuals that the natural state of the environment is threatened through resource overuse and pollution by humans" (Franzen and Meyer 2010:220). It is "a suite of values, worldviews, attitudes, and behaviors that reflect respondents' concern for the environment" (Huddart-Kennedy et al. 2009:311).

(2.) Table 1 provides the survey questions and response categories. The strong support for environmental protection shown by Canadians might reflect concerns about Canada's abandonment of the country's commitment to the Kyoto Protocol in 2006. In January of that year, when the Conservative government took office, it announced that Canada would no longer abide by its Kyoto obligations.

(3.) Some scholars, however, contend that the relationship between age and environmental concern takes on an inverted-U shape (Franzen and Meyer 2010). Levels of concern related to public affairs are usually the highest during middle age, whereas young people and the elderly are more concerned with private affairs. I used the squared age variable in the analysis and found no evidence that there is a curvilinear relationship.

(4.) Available at http://www.wvsevsdb.com]wvs/WVSData.jsp (retrieved July 15, 2012).

(5.) Correlations above .6 are cause for concern about multicollinearity. None of the correlations in the data were above .5. Also, the correlation between perceived global environmental degradation and environmental threat awareness is very weak at. 12. This indicates that these two variables capture different concepts and that perception of global environmental degradation does not necessarily imply a sense of serious threat.

(6.) The stepwise modeling was conducted with StataCorp's (2011) sw logit, pe(.05) and sw reg, pe(.05) commands.

(7.) Centering does hot change the estimated results substantively, and Model 8 is essentially the same as Model 7. It only makes the main coefficients of the variables used in the interaction term more interpretable. Centering is only necessary for models with significant interaction terms, so it is not necessary for the other three dimensions whose models do not have significant interaction terms.

(8.) The influence of mass media on environmental concern is complex. Although consumption of mass media shows no significant effect in this study, mass media may have a less direct impact on environmental concern via, for example, public discourse, agenda setting, and issue attention cycles (Boykoff 2009; Downs 1972; Soroka 2002).
Table 1
Measurement of Environmental Concern by the World Values Survey
(WVS): Four Dimensions

Dimension                           Survey question
                                          (1)
Environmental      Indicate which of these problems you consider the
  threat               most and the second most serious problem for
  awareness            the world as a whole
                     1. People living in poverty and need
                     2. Discrimination against girls and women
                     3. Poor sanitation and infectious diseases
                     4. Inadequate education
                     5. Environmental pollution
                                          (2)
Priority of        Here are two statements people sometimes make
  environmental        when discussing the environment and economic
  protection           growth. Which of them comes closer to your own
                       point of view?
                     1. Protecting the environment should be given
                       priority, even if it causes slower economic
                       growth and some loss of jobs
                     2. Economic growth and creating jobs should be
                       the top priority, even if the environment
                       suffers to some extent
                                          (3)
Willingness to     Can you tell me whether you strongly agree
  pay for              (point 1), agree (point 2), disagree (point 3),
  environmental        or strongly disagree (point 4) with these
  protection           statements?
                     1. I would give part of my income if I were
                       certain that the money would be used to
                       prevent environmental pollution
                     2. I would agree to an increase in taxes if the
                       extra money were used to prevent environmental
                       pollution.
                     I create a summated 7-point willingness-to-pay
                       scale by combining the two items. The scale
                       reliability coefficient Cronbach's a is .747.
                       Then, I adjust the original 2-8 scale into a
                       0-6 scale by subtracting 2
                                          (4)
Participation in   Could you tell me whether you are a member of
  environmental      environmental organizations?
  organizations

Dimension                         Measurement

Environmental      Binary variable:
  threat             1: Yes (if the respondent chooses
  awareness            "environmental pollution" as either
                       the most or the second most serious
                       problem)
                     0: No (if the respondent does not
                       choose "environmental pollution")
Priority of        Binary variable:
  environmental      1: Protecting the environment is more
  protection           important
                     0: Economic growth is more important
Willingness to     Interval variable (a):
  pay for            7-point scale from 0 (strong
  environmental        unwillingness) to 6 (strong
  protection           willingness)
Participation in   Binary variable:
  environmental      1: Yes (b)
  organizations      0: No

(a) I reversed the order of the answers in the original survey so
that a larger number indicates a higher degree of willingness to
pay for environmental protection.

(b) It includes both active and inactive membership.

Table 2
Descriptive Statistics for Four Dimensions within Environmental
Concern and Their Correlations

Variables                          Mean      SD     Minimum   Maximum

Environmental threat awareness      .265     .441      0         1
Priority of environmental
  protection                        .706     .456      0         1
Willingness to pay for
  environmental protection         3.461    1.393      0         6
Participation in environmental
  organizations                     .151     .358      0         1

                                   (1)      (2)       (3)       (4)
1. Environmental threat
  awareness                         1
2. Priority of environmental
  protection                      .121 *     1
3. Willingness to pay for
  environmental protection        .112 *   .281 *      1
4. Participation in
  environmental organizations     .042     .083 *   .160 *       1

Note: From two-tailed tests.
* p <.05.

Table 3

Measurement of Independent Variables

Variable                                 Survey question

Age                         You are-years old
Gender                      Code the respondent's sex by observation
Education                   What is the highest educational level
                              that you have attained?
Income                      Please specify your annual income,
                              counting all wages, salaries, pensions,
                              and other incomes
Perceived environmental     Please tell me how serious you consider
    degradation               each one of the following: (1) poor
  1. Local environmental      water quality, (2) poor air quality,
    degradation               and (3) poor sewage and sanitation, to
  2. Global environmental     be here in your own community. Is it
    degradation               very serious, somewhat serious, not
                              very serious, or not serious at all?
                            Please tell me how serious you consider
                              each one of the following: (1) global
                              warming or the greenhouse effect, (2)
                              loss of plant or animal species or
                              biodiversity, and (3) pollution of
                              rivers, lakes, and oceans, to be for
                              the world as a whole. Is it very
                              serious, somewhat serious, not very
                              serious, or not serious at all?
Consumption of mass         For each of the following sources, please
    media                     indicate whether you used it last week
                              to obtain information:
  1. Newspaper reading        1. Daily newspaper
  2. TV viewing               2. News broadcasts on radio or TV
  3. Use of the Internet      3. Internet, email
Political orientation       In political matters, people talk of "the
                              left" and "the right." How would you
                              place your views on this scale,
                              generally speaking?

Variable                                   Measurement

Age                         Measured in years
Gender                      Binary variable:
                              1: Male
                              0: Female
Education                   9-point scale: 1, no formal education; 2,
                              incomplete primary school; 3, complete
                              primary school; 4, incomplete secondary
                              school (technical and vocational type);
                              5, complete secondary school (technical
                              and vocational type); 6, incomplete
                              secondary school (university-
                              preparatory type); 7, complete
                              secondary (university-preparatory
                              type); 8, some university-level
                              education (without a degree); 9,
                              university-level education (with a
                              bachelor's degree)
Income                      11-point scale from 1 (annual income
                              under 12,500 Canadian dollars) to 11
                              (annual income above 150,000 Canadian
                              dollars)
Perceived environmental     10-point composite scale from 1 (not
    degradation               serious at all) to 10 (very serious)
  1. Local environmental      that combines the seriousness of (1)
    degradation               water pollution, (2) air pollution, and
  2. Global environmental     (3) poor sewage and sanitation in the
    degradation               respondent's own community. (a)
                            10-point composite scale from 1 (not
                              serious at all) to 10 (very serious)
                              that combines the seriousness of (1)
                              global warming or the greenhouse
                              effect, (2) loss of plant or animal
                              species or biodiversity, and (3)
                              pollution of rivers, lakes, and
                              oceans. (a)
Consumption of mass         All three are binary variables:
    media                     1: The respondent used it last week
                              0: The respondent did not use it last
  1. Newspaper reading        week
  2. TV viewing
  3. Use of the Internet
Political orientation       10-point scale from 1 (very left/liberal)
                              to 10 (very right/conservative)

(a) For both local and global environmental degradation, I add up
each respondent's answers to the three questions, which results
in a 10-point scale ranging from 3  (all three are very serious)
to 12 (all three are not serious at all). I adjust the scale into
a 10-point scale ranging from 1 to 10 (by deducting 2 from the
original scale),  and then reverse the coding so that 1 indicates
"not serious at all" while 10 is "very serious."

Table 4
Descriptive Statistics for Various Predictors and Their
Correlations

Variable                 Mean    SD     minimum   Maximum

Age                     48.21   17.80      16        94
Gender (male)             .42     .49       0         1
Education                6.17    2.01       1         9
Income                   5.63    2.95       1        11
Local environmental      5.17    3.12       1        10
  degradation
Global environmental     8.98    1.39       1        10
  degradation
Newspaper                0.72     .45       0         1
TV                       0.95     .21       0         1
Internet                 0.53     .50       0         1
Political orientation    5.43    1.88       1        10
  (conservative)

                      (1)       (2)       (3)       (4)       (5)

(1) Age                1
(2) Gender (male)    .054        1
(3) Education       -.259 *   -.020        1
(4) Income          -.211 *    .84 *     .436 *      1
(5) Local           -.056 *    .009     -.066 *   -.046        1
  environmental
  degradation
(6) Global          -.044     -.069 *   -.011     -.062 *    .146 *
  environmental
  degradation
(7) Newspaper        .57 *    .072 *     .152 *    .195 *   -.042 *
(8) TV               .110 *   .034       .014      .044 *   -.051
(9) Internet        -.392 *   .035 *     .408 *    .339 *    .020
(10) Political       .096 *   .015      -.117 *    .020     -.050
  orientation
  (conservative)

                          (6)      (7)      (6)      (9)     (10)

(1) Age
(2) Gender (male)
(3) Education
(4) Income
(5) Local
  environmental
  degradation
(6) Global                 1
  environmental
  degradation
(7) Newspaper           -.037       1
(8) TV                  -.001     .167 *     1
(9) Internet             .008     .131 *   .023       1
(10) Political          -.127 *   .060     .067    -.053       1
  orientation
  (conservative)

Note: From two-tailed tests.

* p < .05.

Table 5
Logistic Regression of Environmental Threat Awareness in Canada, 2006

Variable           Model 1       Model 2       Model 3       Model 4

Age                -.012 ***     -.011 **      -.013 ***     -.012 **
                 (-3.78)       (-3.32)       (-3.57)       (-2.90)
Male                .457 ***      .473 ***      .485 ***      .548 ***
                  (4.17)        (4.18)        (4.25)        (4.21)
Education           .018          .016          .031          .004
                   (.58)         (.50)         (.95)         (.11)
Income             -.032         -.021         -.012         -.010
                 (-1.55)        (-.98)        (-.57)        (-.42)
LEnvi                             .018          .019          .022
                                 (.99)        (1.02)        (1.07)
GEnvi                             .245 ***      .252 ***      .303 ***
                                (5.10)        (5.19)        (5.35)
Newspaper                                       .006          .019
                                               (.04)         (.12)
TV                                             -.068          .090
                                              (-.25)         (.28)
Internet                                       -.236         -.164
                                             (-1.77)       (-1.08)
Political                                                    -.113 **
  conservative
                                                           (-3.23)
Income x LEnvi

Education x
  Poli
Constant           -.539 *      -2.961 ***    -2.905 ***    -2.886 ***
                 (-1.98)       (-5.48)       (-4.94)       (-4.04)
Model fit
  statistics
Akaike            2,036.5        1,912.9       1,914.9       1,880.7
  information
  criterion
  (AIC)
Bayesian          2,063.9        1,950.9       1,955.0       1,937.5
  information
  criterion
  (BIC)

Variable         Model 5       Model 6       Model 7

Age                 -.012 **      -.012 **      -.010 **
                  (-2.90)       (-2.93)       (-2.64)
Male                 .548 ***      .547 ***      .540 ***
                   (4.21)        (4.20)        (4.19)
Education            .004         -.147
                    (.11)       (-1.50)
Income              -.017         -.011
                   (-.38)        (-.46)
LEnvi                .015          .023
                    (.35)        (1.12)
GEnvi                .303 ***      .307 ***      .310 ***
                   (5.35)        (5.40)        (5.53)
Newspaper            .019          .027
                    (.13)         (.17)
TV                   .091          .107
                    (.28)         (.33)
Internet            -.164         -.170
                  (-1.08)       (-1.12)
Political           -.113 **      -.304 *       -.112 **
  conservative
                  (-3.22)       (-2.52)       (-3.23)
Income x LEnvi       .001
                    (.18)
Education x                        .029
  Poli                           (1.66)
Constant           -2.851 ***    -1.934 *      -2.959 ***
                  (-3.84)       (-2.12)       (-4.96)
Model fit
  statistics
Akaike              1,882.6       1,880.9       1,871.7
  information
  criterion
  (AIC)
Bayesian            1,944.6       1,941.9       1,897.5
  information
  criterion
  (BIC)

Notes: LEnvi, local environmental degradation; GEnvi, global
environmental degradation; Poli, political conservativeness.

Numbers in parentheses are z-scores; from two-tailed tests,
* p < .05; **p  < .01; *** p < .001.

Table 6
Logistic Regression of Priority of Environmental Protection
(Environment-Economy Trade-Off) in Canada, 2006

Variable             Model 1       Model 2       Model 3       Model 4

Age                 -.006         -.004         -.003         -.001
                  (-1.92)       (-1.22)        (-.75)        (-.26)
Male                -.008          .012          .035          .106
                   (-.07)         (.10)         (.30)         (.78)
Education            .134 ***      .121 ***      .118 **       .096 *
                   (4.38)        (3.71)        (3.46)        (2.44)
Income               .014          .028          .031          .033
                    (.69)        (1.26)        (1.37)        (1.24)
LEnvi                             -.073 ***     -.072 ***     -.059 **
                                (-3.86)       (-3.76)       (-2.66)
GEnvi                              .348 ***      .356 ***      .385 ***
                                 (8.46)        (8.58)        (8.12)
Newspaper                                       -.267         -.186
                                              (-1.92)       (-1.14)
TV                                               .190          .359
                                                (.68)        (1.08)
Internet                                         .142          .055
                                               (1.05)         (.35)
Political                                                     -.149 ***
  conservative
                                                            (-4.13)
Income x LEnvi

Education x
  Poli

Constant             .297        -2.483 ***    -2.710 ***    -2.290 ***
                   (1.08)       (-5.14)       (-5.00)       (-3.48)
Model fit
  statistics
Akaike             2,018.2        1,821.1       1,821.3       1,785.9
  information
  criterion
  (AIC)
Bayesian           2,045.4        1,858.8       1,859.1       1,842.5
  information
  criterion
  (BIC)

Variable           Model 5       Model 6       Model 7

Age                 -.001          -.001
                   (-.25)         (-.26)
Male                 .109           .106
                    (.80)          (.78)
Education            .097 *         .088          .118 **
                   (2.45)          (.81)        (3.47)
Income               .010           .033
                    (.22)         (1.24)
LEnvi               -.082 *        -.059 **      -.060 **
                  (-2.01)        (-2.66)       (-2.71)
GEnvi                .385 ***       .386 ***      .379 ***
                   (8.13)         (8.12)        (8.07)
Newspaper           -.185          -.186
                  (-1.14)        (-1.14)
TV                   .364           .359
                   (1.09)         (1.08)
Internet             .055           .055
                    (.35)          (.35)
Political           -.149 ***      -.158 ***     -.146 ***
  conservative
                  (-4.11)        (-2.36)       (-4.08)
Income x LEnvi       .004
                    (.57)
Education x                         .001
  Poli
                                   (.08)
Constant           -2.179 **      -2.237 *      -1.969 ***
                  (-3.18)        (-2.44)       (-3.72)
Model fit
  statistics
Akaike             1,787.5       1,787.8       1,778.7
  information
  criterion
  (AIC)
Bayesian           1,849.3       1,849.6       1,804.4
  information
  criterion
  (BIC)

Notes: LEnvi, local environmental degradation; GEnvi, global
environmental degradation; Poli, political conservativeness.

Numbers in parentheses are z-scores; from two-tailed tests,
* p < .05; ** p < .01; *** p < .001.

Table 7
OLS Regression of Willingness to Pay for Environmental
Protection in Canada, 2006

Variable                     Model 1       Model 2       Model 3

Age                          .002          .003          .003
                            (.85)        (1.51)        (1.42)
Male                         .141 *        .149 *        .140 *
                           (2.13)        (2.25)        (2.10)
Education                    .172 ***      .171 ***      .166 ***
                           (9.45)        (9.30)        (8.67)
Income                       .007          .009          .006
                            (.55)         (.74)         (.50)
LEnvi                                      .015          .014
                                         (1.40)        (1.30)
GEnvi                                      .191 ***      .189 ***
                                         (7.88)        (7.76)
Newspaper                                                .142
                                                       (1.84)
                                                        -.273
                                                      (-1.69)
Internet                                                 .031
                                                        (.40)
Political conservative

Income x LEnvi

Education x Poli

Constant                    2.242 ***     .382           .592
                          (13.67)       (1.35)         (1.88)
Model fit statistics
Akaike information        5,909.1       5,531.6       5,488.6
  criterion (AIC)
Bayesian information      5,936.4       5,569.4       5,542.5
  criterion (BIC)

Variable                    Model 4      Model 5       Model 6

Age                         .003          .003          .003
                          (1.10)        (1.11)        (1.13)
Male                        .154 *        .150 *        .161 *
                          (2.06)        (2.02)        (2.16)
Education                   .162 ***      .162 ***      .301 ***
                          (7.52)        (7.52)        (5.33)
Income                      .006          .039          .007
                           (.40)        (1.53)         (.47)
LEnvi                       .011          .047          .011
                           (.90)        (1.81)         (.88)
GEnvi                       .192 ***      .191 ***      .191 ***
                          (6.99)        (6.98)        (6.97)
Newspaper                   .149          .150          .142
                          (1.68)        (1.69)        (1.61)
                           -.080         -.086         -.076
                          (-.43)        (-.46)        (-.41)
Internet                   -.017         -.017         -.017
                          (-.20)        (-.20)        (-.20)
Political conservative     -.077 ***     -.078 ***      .088
                         (-3.90)       (-3.97)        (1.35)
Income x LEnvi                           -.006
                                       (-1.57)
Education x Poli                                       -.026 **
                                                     (-2.65)
Constant                    .944 *        .773 *        .039
                          (2.52)        (1.98)         (.08)
Model fit statistics
Akaike information        5,215.1       5,215.6       5,210.0
  criterion (AIC)
Bayesian information      5,271.8       5,276.5       5,271.1
  criterion (BIC)

Variable                  Model 7       Model 8

Age

Male                        .182 *        .182 *
                          (2.48)        (2.48)
Education                   .304 ***      .163 ***
                          (5.47)        (8.74)
Income

LEnvi

GEnvi                       .192 ***      .192 ***
                          (7.09)        (7.09)
Newspaper

Internet

Political conservative      .094         -.066 **
                          (1.44)       (-3.35)
Income x LEnvi

Education x Poli           -.026 **      -.026 **
                         (-2.69)       (-2.69)
Constant                   0.231         1.746 ***
                          (0.50)        (7.01)
Model fit statistics
Akaike information        5,203.6       5,203.6
  criterion (AIC)
Bayesian information      5,234.5       5,234.5
criterion (BIC)

Notes: OLS, ordinary least squares; LEnvi, local environmental
degradation; GEnvi, global environmental degradation; Poli,
political conservativeness.

Numbers in parentheses are t-scores; from two-tailed tests,
* p < .05; ** p < .01; *** p < .001.

Table 8
Logistic Regression of Participation in Environmental Organizations
in Canada, 2006

Variable         Model 1       Model 2       Model 3        Model 4

Age                -.009         -.007         -.007        -.005
                 (-1.88)       (-1.57)       (-1.41)       (-.95)
Male                .190          .222         0.223         .186
                  (1.41)        (1.59)        (1.58)       (1.17)
Education           .121 **       .133 **       .119 **      .148 *
                  (3.18)        (3.39)        (2.87)       (3.14)
Income              .056 *        .071 **       .063 *       .040 *
                  (2.21)        (2.71)        (2.36)       (2.05)
LEnvi                             .051 *        .050 *       .038 *
                                (2.26)        (2.18)       (1.98)
GEnvi                             .228 ***      .240 ***     .262 ***
                                (3.78)        (3.90)       (3.70)
Newspaper                                       .246         .213
                                              (1.40)       (1.05)
                                               -.052         .177
                                              (-.15)        (.41)
Internet                                        .179         .191
                                              (1.06)       (1.00)
Political                                                   -.064
  conservative
                                                          (-1.52)
Income x LEnvi

Education x
  Poli

Constant          -2.478 ***    -5.115 ***   -5.354 ***    -5.485 ***
                 (-7.25)       (-7.47)       (-7.10)       (-5.97)
Model fit
  statistics
Akaike             1,494.4       1,389.6       1,391.9       1,392.5
  information
  criterion
  (AIC)
Bayesian           1,521.8       1,434.9       1,435.8       1,447.8
  information
  criterion
  (BIC)

Variable          Model 5       Model 6       Model 7

Age                -.005         -.005
                  (-.95)        (-.95)
Male                .186          .192
                  (1.17)        (1.20)
Education           .148 **       .368 *        .134 ***
                  (3.14)        (2.94)        (3.68)
Income              .034          .043 *        .082 **
                   (.61)        (2.12)        (3.15)
LEnvi               .031          .036 *        .054 *
                   (.52)        (2.01)        (2.43)
GEnvi               .262 ***      .260 ***      .226 ***
                  (3.70)        (3.69)        (3.77)
Newspaper           .212          .205
                  (1.05)        (1.02)
                    .178          .156
                   (.41)         (.36)
Internet            .190          .199
                   (.99)        (1.04)
Political          -.064          .227
  conservative
                 (-1.51)        (1.45)
Income x LEnvi      .001
                   (.13)
Education x                      -.042
  Poli
                               (-1.92)
Constant          -5.446 ***   - 7.017 ***   -5.412 ***
                 (-5.65)       (-5.69)       (-8.77)
Model fit
  statistics
Akaike           1,392.9       1,391.3       1,385.6
  information
  criterion
  (AIC)
Bayesian         1,454.9       1,451.3       1,406.3
  information
  criterion
  (BIC)

Notes: LEnvi, local environmental degradation; GEnvi, global
environmental degradation; Poli, political conservativeness.

Numbers in parentheses are z-scores; from two-tailed tests,
* p < .05; ** p < .01; *** p < .001.

Table 9
The Correlates of Environmental Concern: Hypotheses and Results

                                        Dimension 1     Dimension 2
                                       Environmental    Priority of
                                          threat       environmental
Variable                  Hypothesis     awareness      protection

H1: Income                   (+)
H2: Local                    (+)                            (-)
    environmental
    degradation
H3: Interaction              (-)
    between income
    and local
    environmental
    degradation
H4: Global                   (+)            (+)             (+)
    environmental
    degradation
H5: Education                (+)                            (+)
H6: Mass media               (+)
H7: Political
    orientation
    (conservativeness)
H8: Interaction
    between education
    and political
    conservativeness
H9: Gender (male)            (-)            (+)
H10: Age

                             Dimension 3         Dimension 4
                          Willingness to pay   Participation in
                          for environmental     environmental
Variable                      protection        organizations

H1: Income                                           (+)
H2: Local                                            (+)
    environmental
    degradation
H3: Interaction
    between income
    and local
    environmental
    degradation
H4: Global                       (+)                 (+)
    environmental
    degradation
H5: Education                    (+)                 (+)
H6: Mass media
H7: Political
    orientation
    (conservativeness)
H8: Interaction
    between education
    and political
    conservativeness
H9: Gender (male)                (+)
H10: Age

Blank cell, no significant effect; (+), positive effect; (-),
negative effect.
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