旅游地社会-生态系统成长模式研究——以金寨县为例

旅游引发的自然、社会、物质和人力资本等流量与流向的变化,关系着旅游地社会-生态系统运行的轨迹和可持续状态。基于循环经济相关理论,尝试构建旅游地社会-生态系统“五流”分析框架,以金寨县为案例地,使用PCA-OWA方法,分析2008—2019年旅游地社会-生态系统的资本变化、成长阶段及成长模式,并对其演化轨迹进行情景模拟。结果表明：（1）旅游业通过直接影响人口流动、商品和服务流动、信息流动以及各种资源消耗等“流”因素,使得金寨县旅游地社会-生态系统的物质和人力资本逐步增加,但社会资本仍处于较低水平,自然资本消耗较为明显;（2）12年间金寨县社会-生态系统呈现逐步好转的态势,其成长可划分为2008—2011年低水平匀速增长及2012—2019年快速成长2个阶段;（3）外生模式是金寨县目前持续的运行状态,未来在环境保护与经济发展关系的不断优化下有可能进入内生模式。随着旅游活动的扰动增强,旅游地社会-生态系统内部关系更加复杂,深入探究旅游地社会-生态系统成长的内在机理,可为区域可持续发展的政策制定提供科学参考。     

Spoils from the Spoiled: Strategies for Entering Stigmatized Markets

Stigmatized markets are those where either the products/services, or the consumers, or both, have been collectively, negatively stereotyped and devalued by one or more stakeholder audiences in ways that discredit the overall market. Many stigmatized markets exist, and many flourish, yet little systematic attention has focused on entry into such markets. Our article addresses this gap by conceptualizing various strategies for entering stigmatized markets. We further present propositions regarding the market‐level factors that can influence which of these strategies firms will choose to employ. The contributions include: conceptually clarifying the nature of stigmatized markets; identifying additional types of entry strategies relevant for entering stigmatized markets; theorizing the conditions under which firms would choose one entry strategy over another; and opening up for consideration the effects that market entry may have on stigmatized actors in targeted markets.     

Investigating consumer binge-watching behavior: A valence framework perspective

Binge-watching (BW) behavior has emerged rapidly in recent years. However, a comprehensive understanding of how BW is influenced and how it has changed is lacking. This study uses the valence framework to hypothesize the effects of positive valences (advantages) and negative valences (drawbacks) on consumers' tendency of BW through the mediating effects of consumer attitudes toward BW and tests the role played by consumers' self-control in the association between consumer attitudes toward BW and the tendency of BW. The results from the survey data analysis (N = 454) identify three negative valences (depression, loneliness, and social problems) and four positive valences (enjoyment, passing time, stress relief, and social interaction) that influence consumer attitudes toward BW. In addition, we confirm a U-shaped relationship between consumers' attitudes toward BW and the tendency of BW and find that consumers’ self-control has a moderating effect on this U-shaped association. Theoretically, we extend the valence theory into the study of BW behavior and investigate the specific positive and negative valences in this area. Practically, our findings could help broadcasters design strategies to promote BW.     

Continuous-time multi-cohort mortality modelling with affine processes

Continuous-time mortality models, based on affine processes, provide many advantages over discrete-time models, especially for financial applications, where such processes are commonly used for interest rate and credit risks. This paper presents a multi-cohort mortality model for age-cohort mortality rates with common factors across cohorts as well as cohort-specific factors. The mortality model is based on well-developed and used techniques from interest rate theory and has many applications including the valuation of longevity-linked products. The model has many appealing features. It is a multi-cohort model that describes the whole mortality surface, it captures cohort effects, it allows for observed imperfect correlation between different cohorts, it is shown to fit historical data at pension-related ages very well, it has closed-form expressions for survival curves and we show that it outperforms a number of other commonly used discrete-time mortality models in forecasting future survival curves.     

An empirical analysis on the effects of the inflation targeting framework on monetary policy in South Africa

This article examines the impact of the adoption of an Inflation Targeting (IT) framework in 2000 on the conduct of South Africa’s monetary policy. Taylor rule analysis is used to test empirically whether the implementation of IT in South Africa can be shown to have impacted on the conduct of monetary policy. In particular, the article analyses whether the implementation of the IT framework yields the expected changes when comparing the conduct of monetary policy pre and post the adoption of the IT framework. Thereafter, an analysis of term structure of interest rates, which serve as a proxy variable for market expectations, is used to test whether South Africa’s IT framework has resulted in more predictability and transparency in monetary policy conduct. Lastly, the article analyses the impact of the global financial crisis of 2008–2009, the so‐called Great Recession, on the predictability and transparency of monetary policy in South Africa.     

When does comparability better enhance relevance? Policy implications from empirical evidence

This study investigates the user-specific contexts under which comparability better enhances relevance of accounting information. We first confirm the intuition in the FASB’s (2010) current conceptual framework by documenting that the short-window earnings response coefficient (ERC) is positively associated with the pre-determined level of comparability. Using the cross-sectional variation in the positive relation between ERC and comparability, we show that the link between ERC and comparability is more pronounced for firms with higher investor sophistication and lower information asymmetry among investors. We further support our predictions using analysts’ earnings forecast revisions and various alternative measures of earnings informativeness. In sum, our paper shows that comparability improves information users’ ability to identify similarities and differences across different firms to a greater extent when investor base is more sophisticated and private information is less prevalent. These results suggest that standard setters, regulators, and practitioners should devote more attention to the role of comparability in firms whose investors are less sophisticated and information environment is more opaque.     

Path dependencies versus efficiencies in regulation: Evidence from “old” and “new” broadband markets in the EU

This paper examines the determinants of sector-specific regulation imposed on broadband markets related both to efficiency objectives of regulators and to those of narrowly defined interest groups. We test hypotheses derived from the normative and positive theoretical literature employing recent panel data on 27 European Union member states taking into account endogeneity of the underlying regulation and market structure variables. Our empirical specification employs three different estimators based on instrumental variables in order to identify causal effects. We find evidence supporting both regulators pursuing normative objectives and inefficiencies related to regulatory path dependence, bureaucracy goals and an inadequate consideration of competition from mobile broadband networks. Our results call for adjustments in the institutional design of the decision-making process under the current European Union regulatory framework.     

Do Vendor Cues Influence Purchase Intention of Online Shoppers? An Empirical Study Using S-O-R Framework

The purpose of the current research is to understand the influence of vendor cues like brand reputation. Brand familiarity and offline presence on trust and attitude of online shoppers and consequently on online purchase intention. Data was collected through a web based survey. The findings of the study reported that vendor offline cues have a strong and positive impact on the online purchase intentions of the shoppers. Further, this study also contributed by proving that the trust has a strong relationship with purchase intention as compare to attitude.     

Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis

Sharing of fake news on social media platforms is a global concern, with research offering little insight into the motives behind such sharing. This study adopts a mixed-method approach to explore fake-news sharing behaviour. To begin with, qualitative data from 58 open-ended essays was analysed to identify six behavioural manifestations associated with sharing fake news. Thereafter, research model hypothesizing the association between these behaviours was proposed using the honeycomb framework and the third-person effect hypothesis. Age and gender were the control variables. Two data sets obtained from cross-sectional surveys with 471 and 374 social media users were utilized to test the proposed model. The study results suggest that instantaneous sharing of news for creating awareness had positive effect on sharing fake news due to lack of time and religiosity. However, authenticating news before sharing had no effect on sharing fake news due to lack of time and religiosity. The study results also suggest that social media users who engage in active corrective action are unlikely to share fake news due to lack of time. These results have significant theoretical and practical implications.     

Multicriteria framework for selecting a process modelling language

The choice of process modelling language can affect business process management (BPM) since each modelling language shows different features of a given process and may limit the ways in which a process can be described and analysed. However, choosing the appropriate modelling language for process modelling has become a difficult task because of the availability of a large number modelling languages and also due to the lack of guidelines on evaluating, and comparing languages so as to assist in selecting the most appropriate one. This paper proposes a framework for selecting a modelling language in accordance with the purposes of modelling. This framework is based on the semiotic quality framework (SEQUAL) for evaluating process modelling languages and a multicriteria decision aid (MCDA) approach in order to select the most appropriate language for BPM. This study does not attempt to set out new forms of assessment and evaluation criteria, but does attempt to demonstrate how two existing approaches can be combined so as to solve the problem of selection of modelling language. The framework is described in this paper and then demonstrated by means of an example. Finally, the advantages and disadvantages of using SEQUAL and MCDA in an integrated manner are discussed.