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Addressing environmental challenges, such as climate change, requires integrating consumers' social behavior and personality traits. This study examined how corporate social responsibility (CSR) influences employees' energy-specific proenvironmental behavior in the hospitality sector,
considering the mediating role of green self-efficacy and employee happiness, and the moderating role of altruistic values. Using structural equation modeling of data from a survey of 418 employees in Pakistan, this study found that CSR had a positive impact on energy-specific proenvironmental
behavior, with green self-efficacy and employee happiness acting as mediators, and altruistic values acting as a moderator. The findings suggest that CSR initiatives tailored to consumers' social behavior and personality traits can effectively promote sustainable energy consumption behavior
among employees.

AbstractThe paper aims to investigate the influencing factors that drive the temporal and spatial differences of CO2 emissions for the transportation sector in China. For this purpose, this study adopts a Logistic Mean Division Index (LMDI) model to explore the driving forces of the changes for the transport sector's CO2 emissions from a temporal perspective during 2000–2017 and identifies the key factors of differences in the transport sector's CO2 emissions of China's 15 cities in four key years (i.e., 2000, 2005, 2010, and 2017) using a multi-regional spatial decomposition model (M-R). Based on the empirical results, it was found that the main forces for affecting CO2 emissions of the transport sector are not the same as those from temporal and spatial perspectives. Temporal decomposition results show that the income effect is the dominant factor inducing the increase of CO2 emissions in the transport sector, while the transportation intensity effect is the main factor for curbing the CO2 emissions. Spatial decomposition results demonstrate that income effect, energy intensity effect, transportation intensity effect, and transportation structure effect are important factors which result in enlarging the differences in city-level CO2 emissions. In addition, the less-developed cities and lower energy efficiency cities have greater potential to reduce CO2 emissions of the transport sector. Understanding the feature of CO2 emissions and the influencing factors of cities is critical for formulating city-level mitigation strategies of the transport sector in China. Overall, it is expected that the level of economic development is the main factor leading to the differences in CO2 emissions from a spatial-temporal perspective.