Editorial introduction: Social and sustainability sciences in South East Asia

Nelles, Wayne; Vize, Susan; Wun'gaeo, Surichai

doi:10.1111/issj.12096

Cited by 2 publications

(1 citation statement)

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“…Examples are: garbage classification, water and electricity conservation, recycling, participating in activities about environmental protection publicity or making suggestions about these issues, social media activism on environmental topics, green consumption choices, preference towards sustainable advertising messages, volunteering for corporate sustainability initiatives, commuting by green vehicles, being willing to pay a premium for green goods, etc. (Reich, 2005; Pahl‐Wostl et al., 2008; Nelles et al., 2014; Mi et al., 2020; Jain et al., 2021). The public's willingness to be involved and to be responsible has ensured that governments have put in place legislations that ensure compliance for green sourcing, green production, fair labour practices, sustainable foreign direct investments, etc.…”

Section: Introductionmentioning

confidence: 99%

Societal practices as predictors of sustainable outcomes: Evidence across 57 countries

Das

2022

Int Social Sci J

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The purpose of this paper is to present evidence that cultural factors account for sustainability-based outcomes at the national level. Instead of subjective and perception-based measure of sustainable propensity of individuals as used in previous research, this paper uses the directly and objectively captured sustainability scores from the Environmental Performance Index report. The test sample is comprised of 57 countries. Bayesian regression modelling is adopted. One important theoretical contribution is that sustainable competitiveness may be conceptualised as a higher-order concept consisting of two first-order constructs, namely primary resources and derivative capabilities. Cultural determinants vary substantially in the way they are related to these two components. Four cultural characteristics are related to derivative capabilities, while none have any predictive relationship with respect to primary resources. Researchers may use the findings of this study to similarly model the normative or soft factors embedded in hard environmental performance metrics, in the future. Country clusters may exhibit variations and nuances which warrant further investigation.

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