Migration and imperfect labor markets: Theory and cross-country evidence from Denmark,Germany and the UK

We investigate the labor market effects of immigration in Denmark, Germany and the UK, three countries which are characterized by considerable differences in labor market institutions and welfare states. Institutions such as collective bargaining, minimum wages, employment protection and unemployment benefits affect the way in which wages respond to labor supply shocks, and, hence, the labor market effects of immigration. We employ a wage-setting approach which assumes that wages decline with the unemployment rate, albeit imperfectly. We find that the wage and employment effects of immigration depend on wage flexibility and the composition of the labor supply shock. In Germany immigration involves only moderate wage, but large unemployment effects, since immigrants are concentrated in labor market segments with low wage flexibility. The reverse is true for the UK and Denmark.     

Personalized ads on Facebook: An effective marketing tool for online marketers

A growing number of researchers have examined the effects of personalized advertising in traditional media, however, little has been known about personalized advertising on Facebook. The primary objectives of this research are threefold: (1) Develop a comprehensive model that captures the effects of perceived personalized ads on Facebook on customer attitudinal and behavioral reactions (ad credibility, ad avoidance, ad skepticism, ad attitude, and behavioral intention) to the ad; (2) Test hypothesized relationships using two data sets collected through an online survey; and (3) Develop appropriate customer segments based on personal views of personalized ads on Facebook. The paper reveals that eleven out of thirteen hypotheses are supported and that three market segments are identified including Ad Lovers, Ad Accommodators, and Ad Haters. The paper concludes with conclusion and discussions highlighting managerial and research implications.     

The impact of flood dynamics on property values

There is evidence that environmental amenities and dis-amenities may be nonlinearly related to property valuation. This would bring inconsistency in estimating environmental variables of the hedonic price model. To explore the linearity of the relationship this study analyses spatial and temporal variation impacts of the 2011 Brisbane flood on property markets using semi-parametric estimation. The results show that most environmental variables impacts on property values nonlinearly, and in particularly distance to the river, indicating that the amenity value of being close to a river outweighs the flood risks. The estimation of the combined impact of elapsed time and neighbourhood income indicates that the flood risk impact on property markets disappears over time.     

基于关联理论解读有意沉默

为了研究有意沉默在会话中的语用意义,以英汉会话语段中的有意沉默为研究对象,依据Sperber和Wilson的关联理论,从有意沉默的信息意图和交际意图,以及有意沉默的关联性与语境效果两点入手对有意沉默进行认知语用分析.对有意沉默进行认知语用解读和分析的目的在于帮助我们进一步理解有意沉默,并在以后的会话中能更好地领会并运用有意沉默,使交际能够顺利进行.     

The determinants of credit spreads changes in global shipping bonds

This paper investigates whether bond, issuer, industry and macro-specific variables account for the observed variation of credit spreads’ changes of global shipping bond issues before and after the onset of the subprime financial crisis. Results show that conclusions as to the significant variables of spreads depend significantly on whether two-way cluster-adjusted standard errors are utilized, thus rendering results in the extant literature ambigious. The main determinants of global cargo-carrying companies’ shipping bond spreads are found in this paper to be: the liquidity of the bond issue, the stock market’s volatility, the bond market’s cyclicality, freight earnings and the credit rating of the bond issue.     

An extended peer communities’ knowledge sharing approach for environmental governance

This paper is devoted to propose an approach to implement the idea of extended peer knowledge to environmental governance by means of engaging the «extended peer communities». Socially robust knowledge relies on transparency and citizen participation. These two underlying elements take the form of both assessment and post-assessment decision support systems. Initially, during the assessment process citizens and stakeholders are engaged in the framing, proposal of alternatives, and evaluation criteria. Then the analysts assessed the alternatives proposed by means of DSS. Then, in a second stage, the analysts inspired in the idea of transparency, gave back the assessment result to the «extended peer community» who were able to give their opinion regarding the results and suggest potential parametric changes that were used for sensitivity analyses. The authors explore the proposed extended peer communities’ knowledge sharing for environmental governance assessment using a case study applied to a sustainable mobility planning process carried out in Tenerife (Canary Islands). The results gathered highlight that this approach is of use for guaranteeing the robustness of complex environmental decisions under high levels of uncertainty.     

Nondiscretionary residential water use: the impact of habits and water‐efficient technologies

Several studies published in the last few decades have demonstrated a low price‐elasticity for residential water use. In particular, it has been shown that there is a quantity of water demanded that remains constant regardless of prices and other economic factors. In this research, we characterise residential water demand based on a Stone‐Geary utility function. This specification is not only theory‐compatible but can also explicitly model a minimum level of consumption not dependent on prices or income. This is described as minimum threshold or nondiscretionary water use. Additionally, the Stone‐Geary framework is used to model the subsistence level of water consumption that is dependent on the temporal evolution of consumer habits and stock of physical capital. The main aim of this study is to analyse the impact of water‐saving habits and water‐efficient technologies on residential water demand, while additionally focusing attention on nondiscretionary uses. This is informed by an empirical application using data from a survey conducted among residents of Brisbane City Council, Australia. The results will be especially useful in the design of water tariffs and other water‐saving policies.     

Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data

We utilize the Internet search data from Google Trends to provide short-term forecasts for the inflow of Japanese tourists to South Korea. We construct the Google variable in a systematic way by combining keywords to minimize mean squared or mean absolute forecasting errors. We augment the Google variable to the standard time-series forecasting models and compare their forecasting accuracies. We find that Google-augmented models perform much better than the standard time-series models in terms of short-term forecasting accuracy. In particular, Google models show better out-of-sample forecasting performance than in-sample forecasting.     

Investigating first‐stage exchange rate pass‐through: Sectoral and macro evidence from euro area countries

In this paper, we evaluate the first‐stage pass‐through, namely the responsiveness of import prices to the exchange rate changes, for a sample of euro area (EA) countries. Our study aimed to shed further light on the role of microeconomic factors versus macroeconomic factors in influencing the extent of the exchange rate pass‐through (ERPT). As a first step, we conduct a sectoral analysis using disaggregated import prices data. We find a much higher degree of pass‐through for more homogeneous goods and commodities, such as oil and raw materials, than for highly differentiated manufactured products, such as machinery and transport equipment. Our results confirm that cross‐country differences in pass‐through rates may be due to divergences in the product composition of imports. The higher share of imports from sectors with lower degrees of pass‐through, the lower ERPT for an economy will be. In a next step, we investigate for the impact of some macroeconomics factors or common events experienced by EA members on the extent of pass‐through. Using the system generalised method of moments within a dynamic panel‐data model, our estimates indicate that decline of import‐price sensitivity to the exchange rate is not significant since the introduction of the single currency. Our findings suggest instead that the weakness of the euro during the first 3 years of the monetary union significantly raised the extent of the ERPT. This outcome could explain why the sensitivity of import prices has not fallen since 1999. We also point out a significant role played by the inflation in the Eurozone, as the responsiveness of import prices to exchange rate fluctuations tends to decline in a low and more stable inflation environment. Overall, our findings support the view that the extent of pass‐through is comprised of both macro‐ and microeconomic aspects that policymakers should take into account.     

What about people in cycle network planning? applying participative multicriteria GIS analysis in the case of the Athens metropolitan cycle network

The bicycle is gaining ground as an inexpensive, fast, healthy, and enjoyable mode of transport, but the development of cycle infrastructures appears to be a necessary prerequisite for supporting further growth in cycling rates. Thus far, few studies have developed comprehensive methodologies for the prioritisation of cycling infrastructure investments, and the role of end users has been underestimated in this process. The unique relationship that cyclists develop with the bicycle itself, their co-cyclists, bicycle facilities, and the urban environment as a result of sensory, kinaesthetic, symbolic, or even political reasons can assist in designing cycle facilities that are more efficient and closer to fulfilling the needs and desires of users. We propose a comprehensive four-step methodology for cycle network planning, which both accounts for the city structure and the zones in which higher cycling demand is possible and uses participative multicriteria GIS processes to incorporate cyclists’ views with regard to choosing the cycle network segments. Our case study is Athens, Greece, where cycling facilities are few and heavily fragmented, although cycling demand has recently grown. This methodology may be useful for cities attempting to introduce and prioritise cycling infrastructures because it focuses on determining where cyclists would prefer to cycle to make such investments more successful in attracting users.