Employing structural topic modelling to explore perceived service quality attributes in Airbnb accommodation

This study employs the structural topic model to extract service quality attributes from 242,020 Airbnb reviews in Malaysia. 22 service related topics were extracted from the corpus and four topics have not appeared in previous Airbnb studies. A widely used modified SERVQUAL questionnaire (MSQ) is cross-validated in this study by comparing its service quality attributes with the results of the topic modelling, which indicates that this MSQ can cover general Airbnb service quality attributes. This study also examines the different preferences of Malaysian and international Airbnb users and the changing patterns of the top six service quality attributes during a five-year period. The findings reveal that Malaysian Airbnb users care more about the appearance and location of the property, and international Airbnb users pay more attention to whether the property can accommodate a group of people. In addition, communication with the host is found to play an increasingly important role in Airbnb users’ lodging experiences.     

Early labor market outcomes of university graduates: Does time to degree matter?

Using university administrative and survey data drawn from the AlmaLaurea Consortium, we analyze the effect of time to degree on the early labor market performance of Italian graduates. The empirical strategy allows identifying separately the impact of elapsed time to degree on the transition from university to work and on earnings from other determinants specific to the academic path completed. Findings suggest that delayed graduation reduces the employment probability (0.8% points for each year of delay), and this effect is still persistent five years after graduation. Once employed, graduates not completing their degree within the minimum period are also penalized in their net monthly earnings, even five years after graduation. The most penalized groups are women and graduates in non-scientific fields.     

劳动异质情况下的产业结构偏离及其影响因素分析——基于2006～2013年全国产业行业数据

本文充分考虑劳动异质性，利用产业人力资本结构，重新核算三次产业结构偏离度，发现第一产业和第三产业结构偏离程度均被高估，第二产业结构偏离被低估，进而指出“民工荒”、大学生就业难等现象产生的原因是第一产业可转出人力资本减少，第二产业需求旺盛，而第三产业由于发展不足陷入低水平均衡状态。最后通过系统的影响因素分析发现，解决我国结构偏离和就业问题的重点在于优化需求结构、合理规划产业发展路径以及全面推进城镇化和市场化进程，关键更在于释放农村消费市场巨大潜力和全面加快第三产业发展。     

Non-linear exchange rate relationships: An automated model selection approach with indicator saturation

This paper examines whether the explanatory power of exchange rate models can be improved by allowing for cross-country asymmetries and non-linear effects of fundamentals. Both appear to be crucial. The samples include the USD versus pound and yen from 1982:10 to 2013:10, and automated model selection is conducted with indicator saturation. Several non-linear effects are significant at 1%. Further, many of the indicators present in the linear models are eliminated once allowing for non-linearities; suggesting some of the structural breaks found in previous work were an artifact of the misspecified linear functional form. These conclusions are robust to estimation using principal components.     

政府质量、市场化程度与现金—现金流敏感性——来自后金融危机时期的经验证据

在中国式经济增长进程中,政府作为"幕后推手"日益引发各界关注。政府的质量取决于政府所提出的制度安排,而企业行为是对政府所制定的制度的反应。本文以2009—2011年我国上市公司经验数据为样本,检验政府质量、市场化程度与现金—现金流敏感性间的关系。实证结果发现,随着政府质量的提升,企业运用内部现金流积累现金的倾向减弱,表现为现金—现金流敏感性降低。同时发现,这种变化在不同市场化程度地区的企业中会呈现不同的特征。具体而言,伴随政府质量的提升,市场化程度较低地区的企业受惠于制度环境的优化,其现金—现金流敏感性显著降低,而市场化程度较高地区的企业这一变化并不明显。本文为解释地方政府推出制度优化经济环境的微观机制提供了经验证据。     

市场化程度对花卉产业组织影响实证分析

以刘易斯市场规模分析框架为基础,采用2008—2014年中国各省区市花卉产业的面板数据,对市场化进程与花卉产业组织的关系进行实证分析,结果表明:市场化程度对企业数量、小企业数量和小企业比例具有正向影响作用,市场化是促进花卉产业组织演化的重要因素,有利于优化花卉产业组织的规模和结构。因此,政府应该从市场组织与制度完善角度维护好市场竞争秩序,企业应该提升核心竞争力而不是简单扩大规模。     

审视新结构经济学:一个多维视角

要素禀赋论又被称为要素比例理论,被誉为国际贸易理论的一大柱石. 新结构经济学以要素禀赋理论为基础,将一国的产业结构变迁归因于要素禀赋结构的变化.本文的分析表明:新结构经济学忽视了某些重要的历史因素和现实因素;如果按照新结构经济学的建议来制定一国的发展战略,企业在要素使用结构上将会高度一致,从而可能导致一国经济在面临外部冲击时产生巨大波动.     

Global imbalances and dynamics of international financial markets

We provide an overview of the special issue “Global Imbalances and dynamics of international financial markets”. This special issue, which is associated with the 7th International Finance Conference, features research papers dealing with the impact of global imbalances, market complexity, and the impact of the recent global financial crisis on the conduct of monetary policies, financial market dynamics, financial stability, and risk management models.     

A theory of supplier network-based innovation value

To understand how a supplier helps a buying company create value through innovations, studies have focused on a supplier's internal resources or its relationship with a buying company. Building upon this body of literature, we develop a theory of supplier network-based innovation value in this conceptual paper. This theory explains how a supplier's upstream and downstream value network can be a source of competitive advantage for a buying company. Specifically, it proposes that the levels and types of supplier innovation value is contingent on the configuration of a dual-ego value network, characterized by the locus and degree of buyer-supplier structural equivalence. This theory also explains how a supplier's ties with a buying firm's competitors can pose both opportunity and risk to buying company innovation. This theory contributes to the literature by showing when “seemingly undesirable” suppliers, due to a lack of technical capability or strong relationship with a buying company, might still be valuable to a buying company's innovation.     

Cointegration in China's log import demand: Price endogeneity and structural change

The monthly data of China's log import from January 2000 to December 2013 are used to estimate the import demand elasticities, with the consideration of possible price endogeneity due to China's large share of the international log market, and structural break caused by global financial crisis in 2008. To address the possible structural break, cointegration tests allowing for a deterministic shift in the level of the variables are employed, and a two-stage estimation with top-down sequential elimination algorithm is performed on the restricted subset VECM. The results demonstrate that there exists a long-run cointegration relationship between China's log import and the explanatory variables. The import elasticities of macroeconomic development and import price are around 0.76 and −0.81, respectively. Other things being equal, the structural break would induce a 29.6% decline in China's log import. All the above parameters are significant at the 1% risk level. Furthermore, the contribution decomposition analysis suggests that China's macroeconomic development plays a dominant role in determining its log import, which implies that China's log import would not increase as quickly as before, given that its economy is shifting into the “New Normal State”. This conjecture is supported by our simulations, which indicate that, by 2020, the growth rate of China's log import will be lower than it has been in the past and the import volume would be approximately 1.1–1.6 times greater compared to imports in 2013.