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1.
Showrooming, a phenomenon in which customers use brick-and-mortar stores to assess products and then purchase them from online retailers (o-retailers) for lower prices, is considered a great threat to traditional retailers (t-retailers). To combat showrooming, many t-retailers have executed price matching which enables customers to pay o-retailers' lower prices for the identical product. To avoid direct competition with t-retailers who execute price matching, many o-retailers have begun to sell differentiated products from t-retailers, which weakens the information advantage to customers from practicing showrooming. Motivated by these observations, we construct a duopoly game, where a t-retailer and an o-retailer sell products in a same category, to study the profitabilities of product differentiation and price matching in the context of showrooming. The results show that in the scenario without price matching, the o-retailer is likely to benefit from product differentiation only when the o-retailer's differentiated product is more popular with customers than the t-retailer's product. However, in the price matching scenario, the o-retailer also has the opportunity to benefit from product differentiation when the o-retailer's differentiated product is less popular with customers than the t-retailer's product, and product differentiation can be a win-win strategy for the two retailers under certain conditions. Considering the o-retailer's product differentiation decision, the t-retailer is only likely to execute price matching if the non-digital attributes of the product category sold by two retailers are not very obvious.  相似文献   
2.
The increase in weather and climate disasters in recent years has prompted an interest in analyzing their consequences and the mitigation and adaptation measures that can help minimize their potentially large impacts on individuals’ welfare. We match thirty-one billion-dollar disasters with individual survey data from the Behavioral Risk Factor Surveillance System to estimate the effect of extreme weather events on the subjective well-being of U.S. residents. Our results indicate that natural disasters have a negative and robust impact on subjective well-being in the affected communities, and that, on average, this impact peaks 6 months after the event, and then decays over time. We then investigate the attenuating impact of health care access, flood insurance, and governmental assistance programs and find a partial compensating role for risk-transfer and relief measures. We also find that stronger emotional and social support mitigates the negative impact of natural disasters.  相似文献   
3.
ABSTRACT

The purpose of this research is to analyze whether the Brazilian economy behaved under a wage-led or profit-led regime between 1960 and 2011, considering a Post-Kaleckian model in a context of external constraints. The time span is limited by data availability (i.e., 2011). To answer the question of whether the Brazilian economy works under a wage-led or profit-led regime, we propose a simple Post-Kaleckian model. The model suggests that a profit-led regime is more probable for Brazil. Moreover, a wage-led regime occurs when a balance of payments constrained growth model is taken into consideration. Likewise, the real exchange rate has a positive impact on economic growth through the export channel. This result is a novelty in the recent literature about the relationship between real exchange rate and economic growth within a Post-Kaleckian model. The Brazilian economy was chosen as it is one of the biggest economies in Latin America.  相似文献   
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5.
Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.  相似文献   
6.
This study explores the conditional version of the capital asset pricing model on sentiment to provide a behavioural intuition behind the value premium and market mispricing. We find betas (β) and the market risk premium to vary over time across different sentiment indices and portfolios. More importantly, the state β derived from this sentiment-scaled model provides a behavioural explanation of the value premium and a set of anomalies driven by mispricing. Different from the static β–return relation that gives a flat security market line, we document upward security market lines when plotting portfolio returns against their state βs and portfolios with higher state βs earn higher returns.  相似文献   
7.
立足众创时代特征,运用文献计量对1999—2018年间1701篇国内外众创文献挖掘分析,探寻众创经济特点主题,探析众创发展知识基础,探求众创研究演进脉络,并获取众创经济视域下核心语句和高频词语,运用扎根理论对抽取的126篇的众创文献样本进行三级编码,进而构建众创研究的整合性理论框架,探究众创研究的系统性发展图景。研究表明,众创理论假说大量问世,众创文献热点主题包括六类,众创经济研究存在两种演进趋势,众创经济治理系统理论具有三个维度;未来应关注众创主体思辨性、众创要素系统性和众创技术本土化等专题研究。  相似文献   
8.
[目的]通过充分发挥移动互联时代消费者对于价值链、创新链、产业链构建的作用,实现价值共创视角下乡村旅游价值链的重构,解决乡村旅游产业中消费者需求和产业供给不平衡不充分之间的矛盾,推动乡村旅游高效、有序、协调、综合发展。[方法]基于价值共创理论,通过文献研究法和系统论方法,探索性重构乡村旅游价值链。[结果](1)价值共创引导下的乡村旅游价值链是由基本价值活动、辅助价值活动和价值共创活动共同组成,通过虚拟价值链和传统价值链的互动与融合,实现乡村旅游价值链的新价值创造。(2)价值共创活动是以虚拟价值链为基本特征,以“产消者”创新社区为表现形式,依托移动互联网时代的先进技术,创新性赋予旅游者产品生产者和旅游消费者的“产消者”双重属性,通过将消费者从传统价值链的幕后拉向幕前,实现乡村旅游价值链重构和价值增值。[结论]价值共创引导的乡村旅游价值链需要依托平台思维、共享思维和创新思维进行建设,以消费者需求为导向形成的价值链的开放和互动对于实现乡村旅游供给侧结构性改革具有重大意义。  相似文献   
9.
近年海洋经济的高速发展及海洋资源的不合理开发利用,给广东省的海洋资源与环境带来了一系列问题,有必要对海洋环境污染损失的货币价值进行估算,以更好地进行环境的投入与产出比较,将环境保护纳入经济核算体系。通过比较并应用各种货币化计量方法,分别算出珠江入海口海域的海洋渔业价值、水质净化价值等,对珠江入海口海域的生态系统经济价值进行评估,在此基础上,结合计量模型对海洋环境污染损失进行货币化综合计量,得到海洋环境污染造成的经济损失量的保守估计范围为 87.4~106.9 亿元/年。最后,提出广东省应充分使用财政资金的金融手段,建立多渠道、多层次和全方位的海洋环境保护体系,最终达到保护海洋生态环境和资源的目的。  相似文献   
10.
随着产业链与供应链的深入与完善,以品牌认同为引领的价值创造再一次引起关注,基于"生产商-经销商-终端商"三位一体的价值共创思维是重塑品牌形象强化品牌认同的关键.研究认为:经销商层面中人口基数、人均可支配收入、配送能力等是实现价值增值的因素,生产商层面中市场费用支持、分销政策支持、品牌战略提升是促进价值提升的关键,终端商层面中客情维护、货龄管理、品牌维护是保障价值实现的途径.  相似文献   
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