A Multilevel Analysis of the Determinants of Recycling Behavior in the European Countries

Guérin, Daniel; Crête, Jean; Mercier, Jean

doi:10.1006/ssre.2000.0694

Cited by 122 publications

(89 citation statements)

References 32 publications

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“…However, like Guerin et al (2001), we found that socio-demographic variables had a modest relationship with recycling behaviour and explained only a small percentage of the variance compared with other motivational variables such as selfefficacy and satisfaction with the quality of the service, such that these significant relationships disappeared when other variables were inserted into the models. This modest effect was also found in the correlational analysis, in which age, but not educational level, was significantly associated with recycling behaviour.…”

Section: Discussionmentioning

confidence: 54%

“…In relation to this, Guerin et al (2001) found that global environmental concern had a positive impact on individual propensity to recycle. Studies on the effects of social norms (Cialdini et al, 2006;Cialdini et al, 1990) have shown that making participants focus on the frequency of a behaviourd eg.…”

Section: Satisfaction With Recycling Service Qualitymentioning

confidence: 98%

“…Schultz et al (2013) recently argued that it is necessary to use multilevel analysis to study ERB, investigating both personal and contextual determinants. Using a multilevel perspective, Guerin et al (2001) analysed the social and institutional factors that interacted with a series of individual variables to influence recycling behaviour in different countries. Gelissen (2007) also argued that it is necessary simultaneously to assess the effects of individual and contextual variables on ERB.…”

Section: The Importance Of Recycling In Communitiesmentioning

confidence: 99%

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A multilevel perspective to explain recycling behaviour in communities

Tabernero

Hernández

Cuadrado

et al. 2015

Journal of Environmental Management

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a b s t r a c tPrevious research on the motivation for environmentally responsible behaviour has focused mainly on individual variables, rather than organizational or collective variables. Therefore, the results of those studies are hardly applicable to environmental management. This study considers individual, collective, and organizational variables together that contribute to the management of environmental waste. The main aim is to identify, through the development of a multilevel model, those predictive variables of recycling behaviour that help organizations to increase the recycling rates in their communities. Individual (age, gender, educational level, self-efficacy with respect to residential recycling, individual recycling behaviour), organizational (satisfaction with the quality of the service provided by a recycling company), and collective (community recycling rates, number of inhabitants, community efficacy beliefs) motivational factors relevant to recycling behaviour were analysed. A sample of 1501 residents from 55 localities was surveyed. The results of multilevel analyses indicated that there was significant variability within and between localities. Interactions between variables at the level of the individual (e.g. satisfaction with service quality) and variables at the level of the collective (e.g. community efficacy) predicted recycling behaviour in localities with low and high community recycling rates and large and small populations. The interactions showed that the relationship between self-efficacy and recycling is stronger in localities with weak community efficacy beliefs than in communities with strong beliefs. The findings show that the relationship between satisfaction with service quality and recycling behaviour is stronger in localities with strong community efficacy beliefs than in communities with weaker beliefs and a smaller population. The results are discussed accordingly in relation to theory and possible contribution to waste management. Those findings may be incorporated in national and international environmental policies in order to promote environmentally responsible behaviour in citizenship.

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Section: Discussionmentioning

confidence: 54%

Section: Satisfaction With Recycling Service Qualitymentioning

confidence: 98%

Section: The Importance Of Recycling In Communitiesmentioning

confidence: 99%

See 1 more Smart Citation

A multilevel perspective to explain recycling behaviour in communities

Tabernero

Hernández

Cuadrado

et al. 2015

Journal of Environmental Management

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“…Gamba and Oskamp [25] submitted that in some previous studies, researchers have included some demographic characteristics, environmental awareness, knowledge, attitudes, and concerns for environmental conservation variables. Some previous studies have therefore hypothesized the role of socio-demographic variables in explaining waste recycling behavior, although many have come up with inconclusive [26] and contradictory results. In some other studies, some weak correlations were found between recycling and some included socio-demographic variables [25,[27][28][29].…”

Section: Analytical Frameworkmentioning

confidence: 99%

“…This is as a result of the expectation that educated people would have better values for environmental conservation. Samdahl and Robertson [30] and Guerin et al [26] found positive association between attainment of higher education and waste recycling. Also, Sidique et al [31] found that education had a statistically significant impact on the rate of waste recycling, although that was before controlling for endogeneity of some policy variables in the estimated econometric models.…”

Section: Analytical Frameworkmentioning

confidence: 99%

Factors Explaining Households’ Cash Payment for Solid Waste Disposal and Recycling Behaviors in South Africa

Oyekale

2015

Sustainability

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Environmental safety is one of the top policy priorities in some developing countries. This study analyzed the factors influencing waste disposal and recycling by households in South Africa. The data were collected by Statistics South Africa in 2012 during the General Household Survey (GHS). Analysis of the data was carried out with the Bivariate Probit model. The results showed that 56.03% and 31.98% of all the households disposed waste through local authority/private companies and own refuse dump sites, respectively. Limpopo and Mpumalanga had the highest usage of own refuse dump sites and dumping of waste anywhere. Littering (34.03%) and land degradation (31.53%) were mostly perceived by the households, while 38.42% were paying for waste disposal and 8.16% would be willing to pay. Only 6.54% and 1.70% of all the households were recycling and selling waste respectively with glass (4.10%) and papers (4.02%) being most recycled. The results of the Bivariate Probit model identified income, access to social grants, Indian origin, and attainment of formal education as significant variables influencing payment for waste disposal and recycling. It was inter alia recommended that revision of environmental law, alleviating poverty, and gender sensitive environmental education and awareness creation would enhance environmental conservation behaviors in South Africa.

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