A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

Mitigating panic buying behavior in the epidemic: An evolutionary game perspective

The panic buying behavior under public health emergencies will lead to many adverse consequences, such as material waste, price fluctuation and uneven distribution of epidemic prevention materials, which will pose a threat to the social stability and economic development. In this paper, we construct a tripartite game model to explore the strategic choices of the public, merchants and the government in order to effectively respond to the panic buying behavior in the epidemic. The results demonstrate that: (1) Eight evolutionary stable strategies emerge in the panic buying events. The worst scenario can be improved by adjusting some relevant parameters. (2) The probability of the public choosing the strategy of “not involving in panic buying” depends on the potential benefits and losses of snapping up, rather than the extent of price rising. (3) The probability of merchants choosing the strategy of “not bid up price” depends on the intangible benefits. (4) The probability of the government choosing the strategy of “active supervision” depends on the supervision costs and government credibility, rather than the amount of fines. In addition, strategic suggestions to mitigate panic buying behavior are put forward from the perspective of each stakeholder.     

Exploring the influence of tourists’ happiness on revisit intention in the context of Traditional Chinese Medicine cultural tourism

Based on how tourists interpret the destination experience and on attachment theory, this study investigates the influencing mechanism of tourists' happiness on revisit intention for traditional Chinese medicine (TCM) cultural tourism destinations. Three tourist samples confirm the three dimensions of tourists' happiness: positive emotions, engagement, and meaning. Two surveys were conducted to test the direct and indirect influence of tourists' happiness on revisit intention and the moderating role of tourists' health consciousness. The results show that tourists' happiness promotes memorable tourism experience and place attachment, in turn stimulating revisit intention. The results also support health consciousness as a significant moderator between happiness, place attachment, and revisit intention. The findings enrich theoretical understanding of tourists’ happiness and provide marketing and management advice for TCM cultural tourism destinations.     

Can information and communication overload influence smartphone app users' social network exhaustion,privacy invasion and discontinuance intention? A cognition-affect-conation approach

Thanks to the expansion of network technologies and the coupling of smartphone hardware, younger generations have unparalleled access to a diverse range of information and interactive communication opportunities. Despite voluminous research on the causes of social network exhaustion and privacy invasion, limited academic attention has been devoted to understanding the driving forces and contributing factors for discontinuing usage of smartphone app. Drawing on the cognition-affect-conation paradigm, the present research proposes a conceptual research model to examine how information overload and communication overload effect social network exhaustion, privacy invasion, and ultimately, smartphone app users' intentions to discontinue usage. The study evaluates data from 442 smartphone app users, employing statistical analyses to demonstrate that both information overload and communication overload significantly impact users' exhaustion and privacy invasion. Additionally, social network exhaustion and privacy invasion are two major predictors of smartphone app discontinuance intention. By identifying the influential factors and causes of younger generations' discontinuous usage intention of smartphone app, this study meets the need for a thorough assessment of the social network exhaustion and privacy invasion phenomena. The findings may potentially enhance comprehension of the discontinuation intention phenomenon in the context of cognitive overload. Furthermore, they may provide novel insights for practitioners regarding effective strategies conducive to managing mobile social network adoption behavior, as well as the preservation of engagement levels among young users in mobile-saturated societies.     

Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study

This paper explores the importance of incorporating the financial leverage effect in the stochastic volatility models when pricing options. For the illustrative purpose, we first conduct the simulation experiment by using the Markov Chain Monte Carlo (MCMC) sampling method. We then make an empirical analysis by applying the volatility models to the real return data of the Hang Seng index during the period from January 1, 2013 to December 31, 2017. Our results highlight the accuracy of the stochastic volatility models with leverage in option pricing when leverage is high. In addition, the leverage effect becomes more significant as the maturity of options increases. Moreover, leverage affects the pricing of in-the-money options more than that of at-the-money and out-of-money options. Our study is therefore useful for both asset pricing and portfolio investment in the Hong Kong market where volatility is an inherent nature of the economy.     

China’s international trade development and opening-up policy design over the past four decades

ABSTRACT

China’s opening-up in the past four decades has gone through three waves: the extensive margin of opening-up (1978–2001), the intensive margin of opening-up (2001–2017), and all-around opening-up (since 2017). This paper explores these three stages of the country’s economic reform. China’s gains from trade have been inspired by different economic factors. Before the turn of the century, the large trade volume was due to the realization of comparative advantage based on the country’s factor endowment. However, after its accession to the World Trade Organization, China’s gains from trade have been due, in large part, to the realization of economic scale effects associated with the larger market.     

Open innovation/integration versus disintermediation/disintegration

Supply chain disintegration is considered, due to its importance as an enabler for the management of technology innovation. This research is urgent as it is relevant to a wide range of other occurrences outside of technology innovation management, including: major policy or regulatory changes, industrial actions, economic sanctions, trade wars, trade realignment – such as Brexit, natural disasters, civil disorder and conflict, and financial crises. Disintegration is the re-alignment of partners and coordination within a supply chain to enhance customer value. This process is driven by one of more of the following: introduction of new technology or input, elimination of existing technology or input, change in customer requirements, and/or change in other external factors. The interdisciplinary nature and intellectual foundations of disintegration are considered. Finally, areas of research need are offered.     

Is energy consumption sensitive to foreign capital inflows and currency devaluation in Pakistan?

This study investigates the relationship between foreign capital inflows and energy consumption by incorporating economic growth, exports and currency devaluation in energy demand function for the case of Pakistan. The long-run and short-run effects are examined via ARDL bounds testing procedure. Foreign capital inflows and currency devaluation (economic growth and exports) decrease (increase) energy consumption in long-run. The results confirm a feedback effect between foreign capital inflows and energy consumption. These findings would be helpful to policy makers in designing comprehensive economic and energy policies for utilizing foreign capital inflows as a tool for optimal use of energy sources to enhance economic development in long run.     

Farm size and productivity growth in the United States Corn Belt

In recent decades, agricultural production in the U.S. has continued to shift to large-scale operations, raising concerns about the economic viability of small and midsized farms. To understand whether economies of size provided an incentive for the consolidation of production, the study estimates the total factor productivity (TFP) of five size classes of grain-producing farms in the U.S. Heartland (Corn Belt) region. Using quinquennial Agricultural Census data from 1982 to 2012 the study also compares TFP growth rates across farm sizes to gain insight into whether observed productivity differences are likely to persist. The finding of a strong positive relationship between farm size and TFP suggests that consolidation of production has contributed to recent aggregate productivity growth in the crop sector. The study estimates the extent to which sectoral productivity growth can be attributed to structural change versus other factors including technological change. The study also explores some tradeoffs associated with policies that raise the productivity of small versus large farms.     

Droughts,conflict, and the African slave trade

Historians have frequently suggested that droughts helped facilitate the African slave trade. By introducing a previously unused dataset on 19th century rainfall levels in Africa, I provide the first empirical examination of this hypothesis. I find a strong negative relationship between rainfall shocks and the number of slaves exported from a given region. I also find that extreme temperature shocks in either direction increase slave exports. Building on the detailed qualitative work of Dias (1981), Miller (1982), and others, I provide quantitative evidence for interethnic group conflict and more localized forms of violence being likely mechanisms through which these additional slaves were acquired. These results contribute to our understanding of the underlying economic conditions of the African slave trade.