SARS-CoV-2, a serious threat to sustainable development prospects, is spreading within countries at varying speeds, among other things depending on their population density, behavioural responses, cultural factors, personal hygiene practices and habits. This has led to significant variation in countries’ policy responses aimed at stemming the proliferation of the virus. Using crisp-set qualitative comparative analysis, we conducted a comparative study at the European level to study the performance of different combinations of COVID-19 containment measures along with the response speeds. A set of configurations for two different scenarios (above- and below-median death rates) helps to illustrate how specific containment measures in each examined European country are related to the number of deaths. The main observation arising from the analysis is that the speed of response along with the decision to suspend international flights might determine the epidemic outbreak’s impact on fatality. The results also imply that several different combinations of containment measures are associated with death rates across Europe. The outcome of this analysis can assist in identifying which set of containment measures in the event of an epidemic outbreak is beneficial/detrimental.
Purpose – The purpose of this paper is to explore causal complexity in the relationship between environmental proactivity and firm performance. Using data collected from 27 Australian firms and controlling for the organizational life cycle, type of industry and external contingencies, the study empirically examines environmental proactivity in high-performing firms from polluting industries. Design/methodology/approach – The data were analyzed using fuzzy-set qualitative comparative analysis. Findings – In general, the results of the analysis imply that environmental proactivity is not always associated with high firm performance, and that environmental proactivity is not as important as the other causal conditions for high-performing firms in highly polluting industries. Research limitations/implications – The study addresses the relationship between environmental and firm performance more holistically by including a number of the firm’s external and internal factors identified as important in past research. Second, it offers a new perspective on the relationship with its systematic comparative analysis of complex cases. Next, it identifies different combinations of conditions (paths) leading to a high firm performance and, finally, the core complementary model allows an exploration of which factors are essential and which are less important or even irrelevant to high-performing firms. Practical implications – Based on the findings, firms from highly polluting industries can determine in which circumstances, if any, the adoption of environmental proactivity will result in a positive firm performance. Originality/value – The study is valuable because it contains a rich set of measures of the firm’s external and internal environment, thus allowing a more holistic examination of the relationship between environmental proactivity and firm performance.
The growing unpredictability of energy poverty requires a different policy approach. Yet studies focus on the microlevel drivers, leaving the roles of macroeconomic perspective and climate understudied. Studying the latter is important though, because well‐planned policies can fail if the causes of energy poverty and their interrelations remain unclear. This research submits data collected from 28 EU member states to fuzzy‐set qualitative comparative analysis and offers new evidence concerning the relationship between energy poverty and macrolevel drivers. Our results suggest that states with a mild climate, low or average GDP, and high energy prices have high levels of energy poverty. Likewise, states located in colder climates with low or average GDP, the energy‐policy focus, and nonhigh energy prices tend to be energy poor. Moreover, the results show that two configurations lead to absence of energy poverty. To develop and implement effective policies, it is vital to understand these configurations.
PurposeThe diversity of perspectives means that one can find many factors and models of proenvironmental behavior. However, they typically suffer from limitations and varying degrees of validity in specific contexts, suggesting that today the prime goal should be to learn and improve the models which have been already developed. In this study, the authors build on the model for predicting proenvironmental behavior developed by Oreg and Katz-Gerro (2006), namely one of the most comprehensive cross-national proenvironmental behavior models and one of the few not to be limited to either a local or single-country context or specific proenvironmental behavior.Design/methodology/approachBy using the statistical matching technique, the authors merged data from two existing databases without common identifiers – the International Social Survey Program (environmental module) and the European Social Survey (Round 5). The resulting multinational data concerning 9,710 observations enabled a replication with extensions of Oreg and Katz-Gerro's (2006) proenvironmental behavior model that incorporates newly added Schwartz's theory of human values. To achieve the study's main objective, that is, to present improvements to the original model of proenvironmental behavior, the authors used structural equation modeling (SEM) procedures to estimate four competing models in the R program.FindingsThis study implies that Schwartz's individually measured motivational types of values (benevolence [BE], universalism [UN], self-direction [SD]) are predictors of people's proenvironmental behavior, while his conceptualization of post-materialism yields a better model fit than Inglehart's country-level post-materialism scores. The results also corroborate previous findings that post-materialist values can stimulate proenvironmental behaviors through attitudes, perceived behavioral control and intentions. The present study reveals that proenvironmental attitudes did not change substantially in the 10-year period, even though the world's environmental and sustainability challenges have largely increased. Surprisingly, the mean value of several of the perceived threat variables even decreased.Originality/valueThe authors externally validate one of the most comprehensive proenvironmental behavior models by reproducing it using new multinational large-sample data with nearly 10,000 observations collected 10 years later. The most significant addition to the original model introduced in the current study is the inclusion of Schwartz's motivational types of values, which are measured at the individual level, namely BE, UN and SD. The authors also extend the model by adding proenvironmental behavior measures and group the construct into three latent variables: saving natural resources, green purchasing and environmental activism.
In today's dynamic environment, it is extremely important to study the circumstances in which environmental management contributes to a firm's competitiveness. Relying on the dynamic capabilities view, this study empirically examines the relationships between environmental proactivity, organizational life cycle stages, competitive advantage, and industry on a sample of 155 Australian firms. The results of a regression analysis show that the construct of the organizational life cycle is significantly related to environmental proactivity. The results also confirm the well-established positive impact of environmental proactivity on competitive advantage. Surprisingly, we found environmental proactivity was positively related to competitive advantage not only in the innovative stages but also in the conservative ones. Our findings reveal the complex nature of environmental proactivity and help better understand the relationship between environmental proactivity and competitive advantage.
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