The pricing of European airbnb listings during the pandemic: A difference-in-differences approach employing COVID-19 response strategies as a continuous treatment

The COVID-19 pandemic has been a major shock to the global tourism industry. Given its peculiarity, this paper analyzes one of the most intriguing questions in the Airbnb literature – the pricing of Airbnb listings – by taking advantage of a difference-in-differences methodology that largely draws on variations in country-level policy responses to the pandemic. Relying on a dataset containing weekly information from 130,999 continuously active listings across 27 European countries from 2019 to 2020, this study first investigates the exogenous impact of response policies (proxied by the COVID-19 Stringency Index) on demand. Secondly, accounting for the endogeneity of both demand and prices, this research analyzes pricing responses to demand variations. Results show that: i) increases in the COVID-19 Stringency Index cause significant declines in Airbnb demand; ii) increases in demand cause, on average, increases in Airbnb prices; and iii) pricing strategies between commercial and private hosts differ substantially.     

Estimating the duration of different seasons and their impact on hotel room prices

The purpose of the study is to accurately measure the span of different seasons and its effect on the fluctuation of the occupancy rate and the average room rates in the hospitality sector. While prior studies have concentrated on measuring seasonality using calendar months, this study takes a different approach by measuring seasons in terms of the date count so that the exact starting and ending date of a season can be identified. This step involves adopting a non-parametric methodology that split the time scale into several small parts to obtain a better fit of the relationship and that can detect the starting and end of the season when given specific dates.     

Effect of Price Change Alert on Perceptions of Hotel Attribute-based Room Pricing (ABP) versus Traditional Room Pricing (TRP)

Aside from marketing information on traditional room rates, hotels and online travel agents (OTAs) are trying a new pricing technique based on the attributes of guestrooms. This research investigates how attribute-based room pricing (ABP) differs from traditional room pricing (TRP) in influencing consumer reactions when consumers receive a price change alert before (vs. after) sales. Through a series of experiments, we found that TRP and ABP result in similar alert attitude, brand attitude, and visit intention for presale price change alert. However, ABP leads to more favorable results for postsale price change alert. We examined the underlying mechanism and found that perceived fairness mediates the effect of pricing strategy on brand attitude, price alert attitude, and visit intention for postsale alert only. This research provides hotel managers and OTA marketers with guidance on when to send either type of price change message to consumers.     

Regional tourism competitiveness using the PROMETHEE approach

The competitiveness of tourism destinations is a key issue because it enables destinations to know their position with regard to their competitors. The aim of this paper is threefold: (1) to address the measurement of the competitiveness of tourism destinations at the regional level, (2) to show the suitability of using multi-criteria techniques to measure competitiveness, and (3) to apply the PROMETHEE and GAIA methods within a competitiveness study of eight tourist destinations located in the Northern Region of Portugal. The Metropolitan Area of Porto is the first in the ranking, followed by Cávado and Douro. The results of such an analysis show the comparative strengths and weaknesses of destinations, and allow them to identify their true competitors as well as those other destinations that are most similar to them.     

A game theoretic approach for analyzing the competition between national and store brands by considering store loyalty

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Price and quality decisions in a vertically-differentiated supply chain with an “Online-to-Store” channel

Because of the prevalence of “Online-to-Store (OS)” channel, customers can purchase differentiated products online and pick up in-store. We develop a Stackelberg game-theoretic model to study the impact of an OS channel on quality levels, demands, prices, and profits of a manufacturer and a retailer in a supply chain. We assume that the retailer acts as a Stackelberg leader, and the manufacturer acts as a Stackelberg follower. The manufacturer produces and sells two products with vertically-differentiated quality levels to the retailer who in turn sells the products to customers through a Store channel, an Online channel, or an OS channel. The retailer incurs a handing cost if the OS channel is available, and consumers bear a shipping cost and a transaction cost when the products are purchased from the Online and Store channels, respectively. We find that the manufacturer should reduce both products’ quality levels and wholesale prices, whereas the retailer can increase the selling prices for a relatively small shipping cost and a not too small handling cost. When the products are available both online and in-store, however, the quality levels, wholesale prices and selling prices might increase for a small shipping cost and a not too small handling cost. Compared to the case in which both products are available online only with the OS channel, adding the Store channel is always beneficial for both parties. The intuition behind these results hinges on the trade-off between the handling cost and the increased market demand for the retailer. Moreover, the quality levels, the wholesale prices of both products, and the selling price of the low-quality product would decrease, while the selling price of the high-quality product increases for a sufficiently low transaction cost and a not too small shipping cost.     

THE IMPACT OF THE EU EMISSIONS TRADING SYSTEM ON COMPETITIVENESS AND CARBON LEAKAGE: THE ECONOMETRIC EVIDENCE

This paper carefully surveys the econometric literature that tests for competitiveness effects and related carbon leakage caused by the EU Emissions Trading System (EU ETS). The results of this literature tell us that to date there is no evidence of the EU ETS having had widespread negative or positive effects on the competitiveness of regulated firms, nor is there evidence of significant carbon leakage. However, the paper also identifies three important caveats to this general conclusion. Firstly, the evidence we have still largely refers to the first two trading periods, namely Phases I (2005–2007) and II (2008–2012). Secondly, some heterogeneity of estimated effects is observed, but patterns, notably sectoral patterns, hardly emerge. Thirdly, very little explored is whether the EU ETS has had long-term effects on the economy via investment leakage or firm dynamics. Further empirical studies investigating these long-term effects are particularly desirable.     

The effect of specific discount pattern in terms of price promotions on perceived price attractiveness and purchase intention: An experimental research

This study aims to investigate consumer perceptions and reactions in terms of specific discount patterns (fixed price, 40% discount, discount from 500 TL to 300 TL and 20% + 25% discount) in price promotion. According to the results, specific discount patterns in price promotion have a significant effect on perceived price attractiveness and purchase intention. When the specific discount patterns in price promotion and gender interaction were analyzed in terms of perceived price attractiveness, the scenario of the “discount from TL 500 to TL 300” significantly differentiated from both the control scenario (fixed price) and experimental scenarios for female. For males, no significant difference was found between the control and experimental scenarios. In terms of purchase intention, a significant difference was found between the fixed price scenario and the discount scenario from 500 TL to 300 TL and between the fixed price and 20% + 25% discount scenario. The theoretical managerial implications of the study were discussed, and future research suggestions were presented.     

Sustainability implementation in restaurants: A comprehensive model of drivers,barriers, and competitiveness-mediated effects on firm performance

This study examines sustainability implementation in restaurants by theorizing and testing a comprehensive model of antecedents and effects. It represents positive and negative pressures toward sustainability respectively by entrepreneurs’ attitude and barriers to sustainability, while hypothesizing that customer satisfaction and competitiveness mediate effects of these practices on firm performance. Covariance-based structural equation modeling is used to analyze survey data on 334 restaurants in North Italy. Results show that sustainability attitude exerts pressure toward sustainability, while barriers in terms of costs, fear of regulation or skepticism about benefits have negative, but lower, effects. Sustainability implementation positively contributes to firm performance, but only via two intermediate measures of business success: competitiveness and customer satisfaction. The study fills a gap in the literature by presenting a whole construct of sustainability, by testing two mediating effects not yet hypothesized and by highlighting in the same model the role of factors enabling and deterring sustainability.     

中国货币政策利率传导效率研究:2008-2017

随着利率市场化进程的不断推进以及商业银行利率定价机制的发展,中国货币政策利率的传导效率也不断提高。基于2008年1月-2017年6月的宏观时间序列数据和微观调研数据,本文检验了中国货币政策利率对银行贷款利率的传导效率。总体而言,基准利率是影响金融机构贷款加权平均利率的主要因素。分时间段看,贷款利率浮动限制放开之后,货币市场利率对金融机构贷款利率的传导效率显著提升;基准利率对金融机构贷款利率的影响略有下降,但仍然占主导。对商业银行贷款利率定价的微观机制进行探讨后,本文发现贷款利率定价机制的变化是中国利率传导效率出现变化的主要原因。进一步的分析表明,资金来源和市场利率波动均是影响货币市场利率传导效率的重要因素。最后,本文就如何提高货币政策利率传导效率提出了政策建议。本文研究对完善价格型货币政策体系以及中国货币政策框架转型具有重要的实践意义。