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.     

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.     

Does high‐speed rail connection really promote local economy? Evidence from China’s Yangtze River Delta

High‐speed rail (HSR) has led to a transportation revolution in China. This paper uses the county‐level panel data of China’s Yangtze River Delta to investigate the effect of HSR connection on local economy. To address the issue of endogenous HSR route placement, we use a straight‐line strategy to construct potential HSR connection variables as instrumental variables of the actual HSR connection. Both the difference‐in‐differences and instrumental variable methods show that HSR connection impedes local economy, especially in peripheral regions. The impediment effect is channeled through population reallocation from peripheral to core areas and the restructuring of industries.     

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.     

NOMINAL GDP TARGETING AND CENTRAL BANK CONSERVATIVENESS

In the literature on monetary economics, there is the ‘inflationary bias’ result which predicts that the rate of inflation will be biased towards a higher level under discretionary monetary policy than under a rule‐based policy regime. It is established that a credible nominal target can eliminate this ‘inflationary bias’. In this paper, we examine the case of nominal GDP targeting, which is a rule‐based monetary regime. Depending on the degree of conservativeness by the central bank, we show in a stylized model the choice of different combination of inflation and real GDP targets can still result in an ‘inflationary bias’, and there also exists the possibility of a ‘dis‐inflationary bias’.