• Energy Research

Illegal waste dumping has become a threat to human health and the global environment. In Hong Kong, the government has proposed a quantity-based municipal solid waste charging scheme to reduce waste. However, individuals may still dispose of waste improperly, even if such a scheme has been implemented. In this study, the neutralization theory was adopted and an online survey with 273 respondents was conducted to examine the reasons for improper dumping intentions. A principal component analysis identified two types of neutralization: intrinsic neutralization (including denial of responsibility, denial of injury, and defense of necessity) and extrinsic neutralization (including condemnation of the condemners and appeal to higher loyalties). A regression analysis showed that intrinsic neutralization and gender were significant factors for illegal waste dumping intentions when attitude toward illegal waste dumping was controlled.

Total waste from human activities, including waste plastics, is huge in Hong Kong. In particular, as a result of the prevention and control measures implemented during the COVID-19 pandemic, take-away meals increased tremendously in Hong Kong, generating disposable plastic tableware (DPT). Although Hong Kong has a charging scheme for plastic bags, it does not have a scheme for plastic tableware. Therefore, this study aimed to understand the attitudes and behavior of people in Hong Kong toward DPT. Our study focused on undergraduate students in Hong Kong, given that they will play a significant role in the future of environmental sustainability. The attitudes and behavior of Hong Kong undergraduate students toward DPT were examined through an online survey with 385 respondents. A multiple stepwise regression was conducted to investigate whether cognitive attitude formation factors could explain the sustainable attitudes formed by undergraduate students in Hong Kong. The survey results revealed that most undergraduates considered DPT to be one of the major causes of environmental damage in Hong Kong; however, many of them, particularly those who strongly agreed with this statement, said that the problem of DPT did not affect their quality of life. The regression analysis showed that imposing a DPT charge would be the most significant driver to reduce its use. The research findings identified gaps between attitudes and behavior regarding the use of DPT and the factors influencing sustainable DPT consumption.

Most authors apply the Granger causality-VECM (vector error correction model), and Toda–Yamamoto procedures to investigate the relationships among fossil fuel consumption, CO 2 emissions, and economic growth, though they ignore the group joint effects and nonlinear behaviour among the variables. In order to circumvent the limitations and bridge the gap in the literature, this paper combines cointegration and linear and nonlinear Granger causality in multivariate settings to investigate the long-run equilibrium, short-run impact, and dynamic causality relationships among economic growth, CO 2 emissions, and fossil fuel consumption in China from 1965–2016. Using the combination of the newly developed econometric techniques, we obtain many novel empirical findings that are useful for policy makers. For example, cointegration and causality analysis imply that increasing CO 2 emissions not only leads to immediate economic growth, but also future economic growth, both linearly and nonlinearly. In addition, the findings from cointegration and causality analysis in multivariate settings do not support the argument that reducing CO 2 emissions and/or fossil fuel consumption does not lead to a slowdown in economic growth in China. The novel empirical findings are useful for policy makers in relation to fossil fuel consumption, CO 2 emissions, and economic growth. Using the novel findings, governments can make better decisions regarding energy conservation and emission reductions policies without undermining the pace of economic growth in the long run.

This article examines the occurrences of four types of unethical employee information security behavior—misbehavior in networks/applications, dangerous Web use, omissive security behavior, and poor access control—and their relationships with employees’ information security management efforts to maintain sustainable information systems in the workplace. In terms of theoretical contributions, this article identifies and develops reliable and valid instruments to measure different types of unethical employee information security behavior. In addition, it investigates factors affecting different types of such behavior and how such behavior can be used to predict employees’ willingness to report information security incidents. In terms of managerial contributions, the article suggests that information security awareness programs and perceived punishment have differential effects on the four types of unethical behavior and that certain types of unethical information security behavior exert negative effects on employees’ willingness to report information security incidents. The findings will help managers to derive better security rules and policies, which are important for business continuity.

The coronavirus disease 2019 (COVID-19) pandemic has affected educational institutions and instructors in an unprecedented way. The majority of educational establishments were forced to take their courses online within a very short period of time, and both instructors and students had to learn to navigate the digital array of courses without much training. Our study examined factors that affect students’ attitude toward online teaching and learning during the COVID-19 pandemic. It is different from other online learning studies where online courses are mostly a method of choice, with suitable support from institutions and expectation from instructors and students, rather than a contingency. Under this specific environment, we utilized an online survey to collect students’ feedback from eleven universities across Hong Kong. Using partial least squares for analysis on the 400 valid samples we received, we found that peer interactions and course design have the most salient impact on students’ attitude, whereas interactions with instructors has no effect at all on students’ attitude. Furthermore, we also provide suggestions on using the existing technologies purchased during COVID-19 for a more sustainable learning environment going forward.