Is the environment‐friendly factor attractive to customers when purchasing electric vehicles? Evidence from South Korea

In a bid to reduce greenhouse gas emissions, several countries worldwide are implementing policies to promote electric vehicles (EVs). However, contrary to expectations, the diffusion speed of EVs has been rather slow in South Korea. This study analyzes consumer preferences for the technological and environmental attributes of EVs and derives policy and environmental implications to promote market diffusion of EVs in South Korea. We conduct a choice‐based conjoint survey of 1,008 consumers in South Korea and estimate the consumer utility function using a mixed logit model considering consumer heterogeneity. Based on the consumer utility function, we analyze consumers' willingness‐to‐pay (WTP) for EV attributes such as driving range, charging method, charging time, autonomous driving function, carbon dioxide (CO₂) reduction rate, and purchase price. The results indicate that the current low acceptance of EVs is due to their relatively high price and lack of a battery charging technology that satisfies consumers' expectations of the charging method and time. One interesting finding is that Korean consumers have a relatively higher WTP for the CO₂ reduction rate of EVs than consumers in other countries; however, they do not consider CO₂ reduction over other technological attributes when choosing EVs. This implies that the rate of CO₂ reduction of EVs is not an important factor for South Korean consumers when buying EVs. We also calculate the effect of CO₂ reduction with the market penetration of EVs and find that CO₂ reduction through the diffusion of EVs depends on the country's electricity generation mix.     

Reducing High Public Debt Ratios: Lessons from UK Experience*

This paper examines contrasting experiences of the United Kingdom in addressing high public debt to GDP ratios following major wars. A clear message is that interest rate / growth rate differentials were more important than primary budget surpluses for the different outcomes. The debt to GDP ratio fell very rapidly under financial repression following the Second World War but remained stubbornly high despite large budget surpluses with price deflation after the First World War. Implications for policymakers today are that averting price deflation is a high priority and that supply‐side policies that raise growth could play an important part in debt reduction.     

Assessment of land use compatibility and noise pollution at Imam Khomeini International Airport

This study aimed to investigate land use planning around airports, by employing Remote Sensing (RS) and Geographic Information Systems (GIS), in conjunction with an optimization algorithm using an Integrated Noise Model (INM) software, to establish the potential effects of aircraft noise at Imam Khomeini International Airport (IKIA) in Tehran. We also checked for land use compatibility with the noise levels around IKIA and the residents' reaction to the noise. The research was carried out in three stages: a) the establishment of Strategic Noise Map (SNM) scenarios of the airport operation in the years 2011, 2020 and 2030 using the INM software; b) the assessment of the results with emphasis on the study area land uses and application of RS and GIS and the exposure of residents at different levels of environmental noise; and c) the assessment of the intensity of aircraft noise annoyance at various times of day and night. The results indicated that developing IKIA together with the residential development will increase airport noise. Hence proper management and control of noise at IKIA is essential.     

The reduction cost of nonperforming loan: evidence from China’s commercial bank

The nonperforming loans (NPLs) are co-generated by creating the profit in a bank, and this article build a joint production model to measure the reduction cost of nonperforming cost. By using a data set of China’s 13 commercial banks, the conclusions show that the reduction cost of NPLs is lower, which suggests that it is not a good choice for China’s commercial bank to hold the NPLs.     

The role of openness in the fuzzy front-end of service innovation

The early stages of innovation involve high levels of uncertainty, leading to it being labelled as the “fuzzy-front end” (FFE). Although openness has been identified as pivotal to innovation performance in the open innovation literature, little effort has been put into exploring its role in the FFE. Specifically, this study examines ‘openness competence’ within the FFE–i.e., the ability of a FFE team to explore, gather and assimilate operant resources from external sources by means of external searches and inter-organisational partnerships. The aim is to investigate the impact of openness competence on front-end uncertainty reduction and service innovation success. Data were obtained from a survey of 122 IT-based service innovation projects implemented by IT service provider firms in Thailand. The results suggest that openness competence positively influences both the degree of uncertainty being reduced during the FFE and the overall success of service innovations. These findings offer several implications for research on open innovation and the FFE as well as encouragement to managers to apply a more open approach to the FFE of their service innovation projects.     

Balancing the risk of ‘Lazearian’ interrupters and the benefits of educational and social peers: tracing parental preferences for class-size reduction

Using Danish survey data from a choice experiment, parental preferences for class-size reduction are estimated. While parents with children in large classes are willing to pay for class-size reduction, parents with children in small classes are reluctant and even express negative utility for further class-size reduction. We interpret this as parents balancing the risk of ‘Lazearian’ interrupters and the benefits of educational and social peers when forming their preferences for class size.     

Kernel-type estimators for the distortion risk premiums of heavy-tailed distributions

A new kernel-type estimator for the distortion risk premiums of heavy-tailed losses is introduced. Using a least-squares approach, a bias-reduced version of this estimator is proposed. Under suitable assumptions, the asymptotic normality of the given estimators is established. A small simulation study, to illustrate the performance of our method, is carried out.     

节能减排的调控机制创新研究

资源与能源的无节制消耗,致使全球环境污染和资源枯竭。我国对资源和能源的巨大消费受到全球瞩目,能否及时有效地出台节能减排的政策措施,并尽快达到国际节能减排标准,不仅是国际社会的期望,也是关系到我国科学发展的大计。文章从节能减排、资源节约和资源环境保护相互关系的认识入手,提出政府应采取法律、价格、财税、金融相互协调的综合手段和配套措施推进节能减排。     

港口物流机械风载荷计算方法研究

风载荷的研究在港口物流机械的设计和计算中占据着重要的地位,主要是因为它对起重机结构强度和稳定性的影响极其重要。而风载荷的确定通常由风力系数、挡风折减系数、有效迎风面积以及相应条件下的风压确定。