Social capital,user motivation,and collaborative consumption of online platform services

Collaborative consumption is broadly defined as sharing, obtaining, and giving access to products and services through peer networks online. As it is expected to resolve the societal and environmental problems, quite a few studies investigated consumers’ motivations that lead to positive attitudes and intention for collaborative consumption. This paper aims to study the determinants that motivate participants to perceive a positive attitude towards collaborative consumption focusing on three salient traits of social capital (shared goal, social interaction tie, and norms of reciprocity). The study found that social capital exerts a more substantial influence on intrinsic motivation (enjoyment and sustainability) than extrinsic motivation (economic benefit). The study also found that different social capital traits display different effects on motivation. In particular, the shared goal was a key determinant of both intrinsic and extrinsic motivation. And all three motivations positively affect collaborative consumption attitudes.     

博弈视角下大学生互联网消费信贷决策行为研究

基于博弈论视角,从理论上构建了金融机构与大学生消费信贷决策的动态博弈模型,并引入信誉机制,比较分析了传统金融机构退出大学生信用卡市场而互联网金融大举进入校园信贷市场的深刻原因,同时借助大学生消费信贷调查一手数据实证检验了信誉机制的有效性,研究结果表明:在单次和有限次重复博弈中,“囚徒困境”普遍存在,而在无限次重复博弈中,尽管利率和交易成本下降有利于促进交易,但信息不对称问题却使博弈只能进行有限次,因此要达成长期合作,必须引入具有“社会性惩罚”的信誉机制来抑制大学生的短期投机行为,然信誉机制对于促进传统金融机构与大学生合作的作用有限,更多的是促进互联网金融机构与大学生消费信贷关系的达成,实证结果验证了该结论。由此得到的启示是,充分利用互联网大数据优势、强化互联网金融市场监管、引导大学生树立正确的消费观和责任意识,有助于破解“一放就乱,一管就死”的监管困局,这对于规范互联网金融校园消费信贷市场具有重要现实意义。     

城乡炫耀性消费差异的根源探索

运用中国家庭追踪调查数据,研究发现:农村家庭的炫耀性消费支出比例显著高于城镇家庭,且这一结果随时间变化比较稳健。进一步研究发现,在考虑了家庭参照群体的平均收入之后,城乡炫耀性消费差异不再显著,且参照群体的平均收入对家庭炫耀性消费的影响显著为负。这很可能来源于家庭为寻求社会地位而消费的动机,更高的社会地位意味着更多的财富和带来更高的收益。炫耀性消费充当了家庭社会地位的信号,向其参照群体传递了自身的收入水平状况,参照群体的平均收入越低,消费者寻求社会地位的消费动机越强。农村家庭参照群体的平均收入较低,所以其寻求社会地位的动机更强、炫耀性消费水平更高。因此,寻求社会地位的消费动机是城乡炫耀性消费差异的主要原因。     

Adaptive responses to landscape changes from onshore wind energy development in the Republic of Ireland

Covering 26 years of Irish onshore wind energy development, this article tracks patterns in landscape changes from wind farm construction and identifies adaptive responses in public policy and by stakeholder groups. Wind farms face well-documented challenges with social acceptance due to landscape changes; however, little research has examined interactions between landscape change and social adaptations over the long-term. This article systematically reviews 20 policy documents, undertakes spatio-temporal linear modeling of 212 wind farms using 9 landscape change metrics, and analyzes 5 stakeholder group interviews on adaptive responses to landscape changes. Upward trends occur in turbine height, impact accumulation, placement in agricultural landscapes, construction delays, and new farms built per year. Downward trends occur in the number of turbines per farm, visual disruption of protected areas, and placement in wetlands. Key patterns in stakeholder groups’ adaptations include conflicting interpretations of landscape amenities and evolution, and expanded community outreach, networking, and public participation after exposure to infrastructure. Stakeholders adapt to existing infrastructure separately from adapting strategies to respond to new wind farms. Overall, a mutual relationship emerges wherein landscape changes from wind farms respond to policies and stakeholder activities, while policies and stakeholder groups adapt to the physical realities of landscape change.     

Probabilistic wind forecasting up to three months ahead using ensemble predictions for geopotential height

We develop a method for forecasting the distribution of the daily surface wind speed at timescales from 15-days to 3-months in France. On such long-term timescales, ensemble predictions of the surface wind speed have poor performance, however, the wind speed distribution may be related to the large-scale circulation of the atmosphere, for which the ensemble forecasts have better skill. The information from the large-scale circulation, represented by the 500 hPa geopotential height, is summarized into a single index by first running a PCA and then a polynomial regression. We estimate, over 20 years of daily data, the conditional probability density of the wind speed at a specific location given the index. We then use the ECMWF seasonal forecast ensemble to predict the index for horizons from 15-days to 3-months. These predictions are plugged into the conditional density to obtain a distributional forecast of surface wind. These probabilistic forecasts remain sharper than the climatology up to 1-month forecast horizon. Using a statistical postprocessing method to recalibrate the ensemble leads to further improvement of our probabilistic forecast, which then remains calibrated and sharper than the climatology up to 3-months horizon, particularly in the north of France in winter and fall.     

An empirical investigation of water consumption forecasting methods

Many regions on earth face daily limitations in the quantity and quality of the water resources available. As a result, it is necessary to implement reliable methodologies for water consumption forecasting that will enable the better management and planning of water resources. This research analyses, for the first time, a large database containing data from 2 million water meters in 274 unique postal codes, in one of the most densely populated areas of Europe, which faces issues of droughts and overconsumption in the hot summer months. Using the R programming language, we built and tested three alternative forecasting methodologies, employing univariate forecasting techniques including a machine-learning algorithm, with very promising results.     

Non-stationary additive utility and time consistency

Within a continuous time life cycle model of consumption and savings, I study the properties of the most general class of additive intertemporal utility functionals. They are not necessarily stationary, and do not necessarily multiplicatively separate a discount factor from “per-period utility”. I prove rigorously that time consistency holds if and only if the per-period felicity function is multiplicatively separable in $t$, the date of decision and in $s$, the date of consumption, or equivalently, if the Fisherian instantaneous subjective discount rate does not depend on $t$. The model allows to explain “anomalies in intertemporal choice” even when the agents are time consistent and various empirical regularities. On the other hand, the model allows to characterize mathematically the “effective consumption profile” of naive, time-inconsistent agents.     

Environmental policies,national culture,and stock price crash risk: Evidence from renewable energy firms

This study investigates the impact of country‐level environmental performance and national culture on the stock price crash risk of renewable energy firms. Employing a large sample of 626 renewable energy firms across 31 countries, we find a significant nonlinear relationship between country‐level environmental performance and crash risk. National culture dimensions are found to strongly predict the crash risk of renewable energy firms, particularly after the global financial crisis. On the contrary, national culture dimensions and environmental policies are observed to not exert any significance in explaining the crash risk of fossil fuel firms. Our results are robust with respect to alternative measures of stock price crash risk and the endogeneity of national culture dimensions. Overall, the findings of this paper contribute to the environmental economics literature by providing new evidence regarding the role of societal and environmental factors in explaining the stock price crash risk of energy firms.     

新能源汽车价格补贴政策的绩效分析和改善建议--以J新能源汽车公司为例

新能源汽车是我国汽车行业重要的发展方向,笔者通过研究我国新能源汽车的发展历程、价格补贴政策存在的问题,提出完善新能源汽车价格补贴政策的对策,以期为我国新能源产业的科学发展和我国汽车产业的转型升级提供参考。     

体验型产品在线评论与消费意愿及销量的关系——以价格为调节变量

随着网络在线交易的迅猛发展,在线评论等网络口碑传播的重要性日益凸显。以体验型产品为研究对象,以信号理论和"刺激-反应"理论为指导,建立"在线评论-消费意愿-在线销量"模型分析三个要素之间的关系机理,并采用中介效应检验和调节效应检验进行验证,结果显示:在线评论作为一种信息刺激,其数量对体验型产品在线销量具有显著的正向影响,但在线评论质量效价评分对体验型产品在线销量的影响不显著,这与产品的类型有关;在线评论一是直接对在线销量产生影响,一是通过中介变量(即作为消费意愿替代变量的收藏量)传递影响,对在线销量产生作用;商品价格在在线评论和在线销量的直接和间接关系中都起到了正向调节作用,这与体验型产品交易过程中价格质量信号功能强于促销功能有关。实践中,企业可通过一些激励设计提高消费者在线评论参与度;进行更加科学化的网页设计,完善收藏功能,以方便消费者进行筛选和比较;注意防止盲目降价行为给消费者带来的负面影响,发挥好价格的信号作用。