Effects of hiring former employees of multinationals in the absorptive capacity of local firms

The attraction of foreign direct investment seeks, among other things, to increase the productivity of local companies through knowledge spillovers. However, the empirical evidence in this regard is contradictory. One influential factor is the absorptive capacity of the local companies. This article analyzes the effect of the presence of former employees of multinational corporations as employees of local companies, on the absorptive capacity of said companies. The study was done in Costa Rica, a country known for its successful strategy in the subject matter. The data come from a survey applied to 1167 companies by the Observatorio Costarricense de las Pymes in 2011. It was found that the hiring of former employees of multinational corporations by local companies has a positive effect on the index of absorptive capacity of companies in all productive sectors. Specifically, this hiring of former employees increases the index of absorptive capacity by nine percentage points, with differences by sector and the size of the company.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

To post or not to post: social media sharing and sporting event performance

Social networks are becoming increasingly important for consumers, especially in the context of sport, where the service experience is highly intense. Few studies have combined subjective event performance variables and social network variables to analyze social network content sharing by sports practitioners. This article investigates the use of social networks in relation to sporting events. An empirical study examined the role of social network variables and sporting event performance variables in social media use. The sample consisted of 410 triathletes (72.2% male) aged between 18 and 66 years (mean 37.03 ± 8.62). Four analyses were performed using fuzzy‐set qualitative comparative analysis to examine the causes of sharing comments through social media, sharing photos and videos on social media, participant satisfaction, and word‐of‐mouth (WOM). The event's general image was a necessary condition in all cases. The combination of participants’ satisfaction and positive event image and the combination of social network use and positive event image lead to social network content sharing by athletes. The combination of positive event image and participant satisfaction leads to a positive WOM.     

From Financial Repression to External Distress: The Case of Venezuela

Recent work suggests a connection between domestic debt and external default. We examine potential linkages for Venezuela, where the evidence reveals a nexus among domestic debt, financial repression, and external vulnerability. The financial repression tax (as a share of GDP) is similar to OECD economies, in spite of higher debt ratios in the latter. The financial repression “tax rate” is higher in years of exchange controls and legislated interest rate ceilings. We document a link between domestic disequilibrium and a weakening of the net foreign asset position via private capital flight. We suggest these findings are not unique to Venezuela.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

Modelling user perception of bus transit quality

This article evaluates how bus users perceive the quality of their public transport service. In particular it looks at how perception of quality varies according to the available information. The experiment compares an overall evaluation of service quality before and after making passengers reflect on the importance of certain fundamental system variables which they may not have previously considered.Focus groups were used to individualise the most relevant variables. A quality survey was carried out both on-board buses and at bus stops and the overall service quality was related to the aforementioned variables using ordered probit models. The perception of quality is shown to change with the category of user and that there tends to be more criticism towards variations in overall quality until the users are stimulated into thinking more deeply about other influential variables. The application of this methodology may provide operating companies with valuable information for planning marketing policies aimed at different categories of user, in order to improve the service quality and attract more passengers to using public transport.     

增值税转型对我国微观经济的影响

增值税的全面转型是振兴经济的一大利好消息，力度大、范围广，对企业来说，不仅能够直接减轻税收负担，改善生存环境，更能够增加流动资金，扩大企业固定资产投资需求，因而有利于促进企业的设备更新改造和高新技术企业的发展，促进利润的提升和产业升级。在这种经济背景下，文章论述了增值税转型后给企业带来的一系列影响以及应采取的相应对策。     

Building internal business scenarios based on real data from a performance measurement system

This paper presents a new methodology to build internal business scenarios from the data gathered by some key performance indicators (KPIs) defined within a performance measurement system. The application of the principal components analysis technique leads to the identification of latent relationships between KPIs that underlies some important business aspects. Further, this methodology allows to represent not only the temporal evolution of the organisation as a function of these business aspects but also the definition and determination of internal business scenarios, being therefore the source of meaningful managerial information. At the end of the paper, results of a practical application are presented and discussed, as well as their importance for the organisation from a decision making point of view.     

浅析互动式教学法在《食品安全性》教学中的应用

相对于传统的单向式教学法而言,互动式教学法不失为一种很好的教学方法,它能在教学过程中充分发挥教师和学生双方的主观能动性,通过师生之间、学生与学生之间、学生与消费群体之间的对话、讨论等多种方式,以达到思想、理论和信息的交流与启发,提高学生的学习热情,注重个性发展,培养学生的综合素质。本文详细论述了互动式教学法在《食品安全性》课程教学中的应用。