Crime prediction by data-driven Green’s function method

We develop an algorithm that forecasts cascading events, by employing a Green’s function scheme on the basis of the self-exciting point process model. This method is applied to open data of 10 types of crimes happened in Chicago. It shows a good prediction accuracy superior to or comparable to the standard methods which are the expectation–maximization method and prospective hotspot maps method. We find a cascade influence of the crimes that has a long-time, logarithmic tail; this result is consistent with an earlier study on burglaries. This long-tail feature cannot be reproduced by the other standard methods. In addition, a merit of the Green’s function method is the low computational cost in the case of high density of events and/or large amount of the training data.     

Addressing plastic pollution through green consumption: Predicting intentions to use menstrual cups in the Philippines

Plastic pollution is a global environmental crisis that poses a huge threat to the health of people and marine ecosystems worldwide. A significant source of plastic pollution is menstrual hygiene management, and an approach that can help address this crisis is the usage of washable and reusable menstrual cups. Using an extended theory of planned behavior model that includes self-identity and perceived quality, the study predicted intentions to use menstrual cups in the Philippines. Structural equation modeling results showed that perceived quality predicted attitudes towards menstrual cup usage. Moreover, attitudes, perceived behavioral control, and self-identity predicted intentions to use menstrual cups. There were also some differences in the factors and predictors of intentions between non-users and regular users of menstrual cups. Among regular users, perceived behavioral control did not predict intentions. These findings provide empirical support for the extended model, and provides insights for governments, non-government organizations, and corporations in promoting the usage of menstrual cups to address the global plastic pollution crisis.     

房屋土建工程质量监督管理问题与强化建议探究

随着社会经济的快速发展,我国的房屋建筑工程也随之发展起来。建筑施工中无论是技术还是人员的配置都日趋合理,但同时一些问题也逐渐显现出来,如工程施工人员的素质水平不高、建筑市场混乱等,使得工程质量受到了影响,所以我们必须要加强对房屋土建工程的质量监管。     

Price connectedness between green bond and financial markets

We study price connectedness between the green bond and financial markets using a structural vector autoregressive (VAR) model that captures direct and indirect transmission of financial shocks across markets. Using heteroskedasticity to identify the structural VAR model parameters, our empirical findings reveal that the green bond market is closely linked to the fixed-income and currency markets, receiving sizeable price spillovers from those markets and transmitting negligible reverse effects. We also show that, in contrast, the green bond market is weakly tied to the stock, energy and high-yield corporate bond markets. These findings have implications in terms of portfolio and risk management decisions for environmentally aware investors holding positions in green bonds.     

The price of going green: the role of greenness in green bond markets

In this paper, we empirically investigate how greenness information is priced in the green bond market. Our comparison of liquidity-adjusted yield premiums of green bonds versus synthetic conventional bonds indicates that, on average, there is no robust and significant yield premium or discount on green bonds. However, green bonds certified by an external reviewer enjoy a discount of about 6 bps. Furthermore, green bonds that obtain a Climate Bonds Initiative certificate show a discount of around 15 bps. The findings suggest that a universally accepted greenness measure can benefit the development of the green bond market.     

The unexpected effect of frugality on green purchase intention

Frugality is frequently associated with sustainable consumer behavior which contributes to a growing resource saving. In this study, we challenge the prevailing view. Compared to the positive effects of frugality, little work has focused on its negative effects. Thus, this study presents a research model which explores whether and how frugality influence green purchase intention. With data collected from 369 participants, the results report that frugality has a negative effect on green purchase intention. It is significantly mediated by motivation to save. In addition, green concern negatively moderates the relationship between frugality and purchase intention, and that between motivation to save and purchase intention. The study provides a deeper understanding of frugality, and develops an avenue to promote sustainable consumption.     

Pricing,greening, and transparency decisions considering the impact of government subsidies and CSR behavior in supply chain decisions

In this paper, we analytically model different government subsidy strategies in a supply chain manufacturing and selling a green product. We model the interaction between greening degree and transparency level set by a manufacturer and its impact on not only the supply chain, but also consumers and the government. The supply chain is composed of a manufacturer and a retailer. The manufacturer can choose two different strategies. First, he only cares about his production profit; and second, he concerns with CSR in addition to his production profit. We develop a new transparency-based index of consumer satisfaction to model how the market reacts to manufacturer CSR decisions. The government decide three different subsidy strategies. A three-stage Stackelberg game model is developed and solved to analytically derive managerial insights. As a result, if the transparency cost coefficient is sufficiently high, the greening degree and transparency level in CSR concerns strategy are higher than when the manufacturer is not concerned with corporate social responsibility. In addition, when the transparency cost coefficient is sufficiently high, the profit of supply chain members and government are equal in both strategies. We give a real-world example of Iranian brick industry.     

How psychological and contextual factors contribute to travelers’ propensity to choose green hotels?

Despite the growing popularity of green hotels, there remains a dearth of research examining travelers’ intentions to choose green hotels. The study addresses this research gap by developing and testing an integrated model of green hotel behavior in an emerging market of India. We use a sequential approach of SEM and fuzzy set qualitative comparative analysis on 347 responses collected from Indian travelers to gain a more in-depth understanding of the role of biospheric value, green trust, willingness to pay premium, attitude, subjective norms, and perceived behavioral control in determining green hotel intentions. The findings show that presence of green trust is a significant and necessary condition for green hotel choice. Additionally, absence of willingness to pay premium, biospheric value, attitude, and subjective norm were found to deter travelers from choosing green hotels. These findings offer unique insights for managers in developing marketing strategies to enhance travelers’ green hotel adoption.     

Evidence of green signaling in green hotels

Green signaling posits that environment-friendly purchases signal consumers’ pro-sociality and willingness to pay more for societal/environmental well-being, enhancing their social status. Using three scenario-based quasi-experimental studies, we sought evidence of green signaling by guests in green hotels when status motive is activated, consumption condition is manipulated, and hotel price is varied. Results showed that, when status motive is activated, consumers signal the intent to purchase better-quality conventional hotels when green hotels are priced more or equal and when the consumption condition is private. In public consumption condition, when controlling for price, and in private consumption condition, when green hotels are priced lower, no significant difference was found between purchase intentions regarding conventional and green hotels. This represents slight, although inconclusive, evidence of green signaling. Industry practitioners in green hotels should lower prices and make the consumption process public by providing consumers with opportunities to engage more actively via social media.     

Exploring the green image of airlines: Passenger perceptions and airline choice

During the last few years there has been an increasing trend for companies to market their products or services as green or environmentally friendly as part of their corporate social responsibility. Few studies have analyzed the effects of this recent focus on the environment and its impact on airline passengers. Therefore, we examine passengers' general attitudes towards the green image of different airlines, perceived differences in eco-friendliness among these airlines, and effects on airline choice during booking. We also investigate how passengers' recent experiences with an airline affect perceived eco-friendliness of that airline. In addition we compare passenger ratings of airline eco-friendliness to those published by independent 3rd parties. Our findings show that the green image of airlines does influence airline choice during booking. We observed a passenger willingness to pay extra for a green image, however, not as much as their willingness to pay extra for amenities, such as additional legroom.