Quantifying the impact of the COVID-19 pandemic on US airline stock prices

This paper uses data at the trading day frequency and the method of local projections to quantify the dynamic responses of U.S. airline stock prices to a COVID-19 shock. We show that airline stock prices decline immediately by 0.1 percentage point in response to a 1% COVID-19 shock. In addition, the effect of the shock persists beyond the day on which it occurs, with most airline stock prices falling by as much as 0.6 percentage points after fifteen days. This negative response of airline stock prices to a COVID-19 shock is not explained by a COVID-19-induced increase in airlines’ variable costs, but rather by a COVID-19-induced decrease in air travel, which, in turn decreases revenues, profitability, and stock prices of U.S. airlines.     

基于神经网络的建筑业碳排放强度预测——以京津冀为例

通过统计分析得出影响建筑业碳排放强度的13个影响因素,基于收集的京津冀相关数据,运用逐步回归分析找出其中6个关键因素.借鉴五折交叉验证解决数据稀缺问题,采用神经网络对京津冀建筑业碳排放强度进行预测.利用敏感性分析简化模型,筛选出4个核心因素.结果表明,此模型预测精度高达99％,同时根据挖掘出的核心因素和关键因素,提出建筑业节能减排的建议.     

Why Do People Leave? a Study Of Nonsupervisory Restaurant Employees’ Polychronic Time Use Preference and Turnover Intention

ABSTRACT

The purpose of the study was to present a comprehensive view on the associations among polychronicity, job satisfaction, work engagement, and turnover intention within a restaurant context. Using a sample of 252 servers in full-service restaurants, structural equation modeling results found that polychronicity positively linked with job satisfaction, work engagement, and turnover intention. An indirect effect from polychronicity to job satisfaction to turnover intention was found. Results can assist restaurant managers in selecting candidates that best fit their organization. It will also assist employees in determining which career path best matches their personality traits.     

Digital competency evaluation of low-cost airlines using an integrated IVIF AHP and IVIF VIKOR methodology

Recently, low-cost airline (LCA) companies have become more attractive. However, emerging digital technologies have transformed the passengers’ profiles. Digital competency has become a crucial matter to capture digital passenger expectations. Hence, the purpose of the study is to introduce a new digital competency evaluation (DCE) model. The proposed model comprises technology transformation & implementation, and also transformation & adaptation management dimensions, with ten criteria and thirty sub-criteria. Criteria weights are calculated using the IVIF AHP method. The results show that the most significant dimension is transformation and adaptation management. The most digitally competent airline is selected through the IVIF VIKOR method. A case study concerning the LCAs is conducted in Turkey to verify the validity of the proposed model.     

An exploratory study on factors contributing to job dissatisfaction of retail employees in India

The study aimed to explore factors contributing to job dissatisfaction among frontend retail employees in India. It broadly contributes to the problem of talent retention and employee turnover which is one of the biggest challenges of the Indian retail industry. The study adopted mixed-method approach to inductively identify the contextual factors leading to job dissatisfaction. Qualitative data were analyzed using grounded theory approach followed by a survey based quantitative study, using exploratory factor analysis, confirmatory factor analysis and structural equation modeling to validate the qualitative findings. Qualitative study revealed seven factors-customer aggression, abusive supervision, perceived job image, perceived unethical climate, lack of autonomy, work exhaustion and inter-role conflicts contributing to job dissatisfaction. Findings of quantitative study showed all factors except lack of autonomy were significantly related to job dissatisfaction. Theoretical contributions, managerial implication, limitations, and scope for future work are discussed.     

我国水稻产业供给侧结构性改革的思考

[目的]文章在供给侧改革视角下对水稻供需的结构性矛盾等方面进行梳理,分析基于供给侧改革战略的关键环节、实施路径和未来发展趋势,以期为制定我国水稻供给侧改革战略提供参考。[方法]采用文献分析法和调查研究法,从我国水稻生产供求结构、价格"天花板"和成本"地板"双重挤压、水稻生产的资源环境、市场调节等方面分析了我国水稻产业供给侧的现状和存在的问题;通过日本、泰国、中国五常大米政策特点和经验教训的启示,提出了我国水稻产业供给侧结构性改革的策略。[结果]在分析我国水稻产业供给侧现状的基础上,总结得出水稻产业供给侧改革措施:优化水稻产业空间和功能布局,以项目带动水稻产业结构调整,提高和优化稻米品种品质结构、审定标准向抗性优质专用水稻品种倾斜,因地制宜调减水稻生产面积,调整国家收储稻米标准,延长水稻全产业链等。[结论]加速我国水稻产业供给侧改革,能促进稻米产业结构快速升级,有效破解稻米产业的结构性矛盾,增强我国稻米产业可持续发展能力和国际竞争力。     

Understanding the dynamics of the quality of airline service attributes: Satisfiers and dissatisfiers

This research aims to determine the relationship between the quality of airline service attributes and overall satisfaction. Although a number of relevant studies have reported a linear relationship (or symmetric effect) between the two concepts, this work suggests that attribute quality exerts heterogeneous effects on satisfaction or dissatisfaction. A total of 157,035 consumer data from online reviews have been analyzed to achieve the research objective. In accordance with Herzberg, Mausner, and Snyderman’s (1959) two-factor theory, the findings of this research have determined that the quality of certain service attributes, such as cleanliness, food and beverages, and in-flight entertainment, affects the variations of positive ratings as a satisfier. Other airline service attributes, such as customer service and check-in and boarding, influence the deviations of negative ratings as a dissatisfier. Apart from airline attributes, the individual features and types of airline products have been estimated to improve the understanding of such relationships. In this regard, this study provides important implications to customer-centric marketing in an airline marketplace.     

基于人工神经网络的互联网公司估值方法研究

资本市场认为互联网公司市值的驱动因素应包括盈利因子、运营因子、流量因子和协同因子。将协同效应指标考虑到公司估值体系中,意图构造互联网公司优化估值模型。使用美股上市的互联网企业数据建立了评价指标体系,通过因子分析实现了二级指标降维,通过实证分析确认了四个因子与公司市值的相关关系,最后构建了基于人工神经网络BP算法的互联网公司估值模型,通过预测数据的检验发现模型的准确度较高。随着2018年互联网公司美股上市潮的持续,该模型能有效为资本市场估值提供参考。     

产业集聚、市场集中对区域创新能力的作用——基于京津冀、长三角两大经济圈制造业的比较

产业集聚和市场集中是影响区域创新能力的重要因素。本文考察了京津冀、长三角两大经济圈制造业产业集聚与市场集中对区域技术创新能力的作用。实证分析结果表明：两大经济圈制造业集聚与市场集中均在一定程度上促进了区域创新能力的提升，但由于两大区域体制机制条件、创新环境、产业组织形态等不同，制造业产业集聚影响区域技术创新的程度、特征与路径也存在一定差别。两大经济圈应采取差异化集群发展方式，加快推进制造业集群升级，特别是应抢抓第四次工业革命发展机遇，提升制造业智能化水平，提升区域创新能力水平。     

Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.