Assessment of blockchain applications in travel and tourism industry

Quality & Quantity - Blockchain technology (BCT) is a network-based system, which is developed to create secure, smart and transparent distributed ledgers. Recently, BCT has been gaining more...     

Parental Income and Continuing Education of Second Generation Immigrants in Sweden

Understanding the economic integration of minority ethnic communities requires an analysis of the educational process. This paper examines second‐generation immigrant youths’ educational attainments in comparison with those of similarly aged native Swedes. Binomial‐logit, grouped‐regression and multinomial‐logit models are applied to longitudinal data, 1991–1996. The results give evidence for socioeconomic determinants of post‐compulsory education and for parental influence on educational choices. Parental income affects second‐generation immigrants’ post‐compulsory education and Swedes’ choice of level of education. In general, the stronger the labour market positions of the parents, the higher the probability of the children continuing education. It is also found that the geographical origin of second‐generation immigrants matter, with youths of Asian origin having a higher probability of continuing their education. We suggest policy changes on different levels based on the evidence of the paper, as short‐run, long‐run and in general.     

Exogenous information and input-output updating: An evaluation

Input-output coefficients' intertemporal instability, costs, and time lags involved in the construction of survey-based tables necessitate employment of nonsurvey updating techniques. Analysts, however, may want to include exogenous information in the updating process. The issue, then, is whether this inclusion ameliorates or aggravates the results. This paper attempts to assess the wisdom of incorporating exogenous information into the updating procedure. First, using the naive, RAS, and LaGrangian techniques, the 1966 table of the former Soviet Union was updated to 1972. Next, treating the top 10 percent largest 1972 coefficients as exogenous estimates, the remaining coefficients were updated via the same three methods. Comparison of the results indicates that exogenous determination of the largest coefficients does not change the methods' rankings while yielding substantial improvements in the forecasts. This paper was presented at the Forty-Sixth International Atlantic Economic Conference, Boston, MA, October 8–11, 1998.     

Is corporate environmental disclosure associated with firm value? A multicountry study of Gulf Cooperation Council firms

Several studies have found a relationship between corporate social and environmental disclosure and firm value (FV) or accounting profitability. Where environmental disclosure has been the focus, though, only single-country studies have been published, and most of the previous research concerns the developed world. This study examines the association between corporate environmental disclosure (CED) and FV in the Gulf Cooperation Council (GCC) countries, where CED has been increasing from its previous low base. Findings from a multicountry sample of 500 firm-year observations using a 55-item unweighted environmental disclosure index suggest that CED is significantly and positively related to FV as measured by Tobin's Q (TBQ). The relationship is robust to using a weighted version of the disclosure index, individual countries and environmental disclosure subindices. Some evidence of a positive relationship between CED and return on assets is also found, but even where statistically significant, the relationship is much weaker than in the case of TBQ. For empirical and theoretical reasons, we recommend that future studies pay greater attention to market-based proxies, if possible, when investigating the value relevance of CED in both developed and developing countries. Our results suggest that both managers and policymakers in GCC countries should take a positive view of expanded CED.     

Mandatory disclosure,greenhouse gas emissions and the cost of equity capital: UK evidence of a U-shaped relationship

This paper examines the effects of disclosing greenhouse gas (GHG) information mandatorily on the cost of equity capital (COC) using a longitudinal unbalanced panel database of the United Kingdom's FTSE 350 firms for the period 2011–2016. We use a nonlinear panel quantile regression (PQR) model to examine the relationship between GHG disclosure (GHGD) and COC in the United Kingdom. This technique was supplemented by conducting a two-step generalised method of moment (GMM) estimation to address any concerns related to the potential existence of endogeneity problems. Our findings suggest that high-level GHGD appeared to be negatively associated with COC up to a certain level, which is known as the turning point; then, any increase in GHGD is likely to increase the COC. This means that the nonlinear association between GHGD and COC is evidenced in our study and takes a U shape. Likewise, our findings are associative of a moderating effect of the 2013 carbon disclosure regulation (CDR) on the GHGD–COC nexus. We argue that mandatory GHGD and GHG risk are linked so that those companies that are associated with higher GHG risk have a tendency to be better disclosers. Consequently, we urge regulators to design GHGD regulations in a way that mirrors corporate environmental risk and leads to a lower COC in order to align the interests of corporations with those of the society at large.     

Disaggregation and consolidation of imperfect quality shipments in an extended EPQ model

We consider a standard economic production quantity (EPQ) model. Due to manufacturing variability, a fraction P of the produced inventory will have imperfect quality, where P is a random variable with a known distribution. We consider a 100% inspection policy and further assume that the inspection rate is larger than that of production. Thus, all imperfect quality items will be detected by the end of the production cycle. For such an augmented EPQ model, we first derive the new optimal production quantity assuming that the imperfect quality items are salvaged once at the end of every production cycle. Then, we extend this base model to allow for disaggregating the shipments of imperfect quality items during a single production run. Finally, we consider aggregating (or consolidating) the shipments of imperfect items over multiple production runs. Under both scenarios we derive closed-form expressions for both the economic production quantity and the batching policy, and show that our desegregation/consolidation schemes can lead to significant cost savings over the base model.     

Forecasting technology diffusion: a new generalisation of the logistic model

The present research proposes a new generalisation of the logistic model aiming at technology diffusion forecasting. Regarding criticisms and failures reported in the literature to apply logistic function for long-term forecasting, in our work we focused on short-term accuracy of forecast. To formulate the model, based on mathematical approximation, at first the differential equation governing the diffusion process is found and then by solving the derived differential equation, the forecast function is obtained. In all steps, mathematical tools from numerical analysis are used. We compared the New Generalized Logistic Model with eight of the most renowned models in the literature. The model led to more accurate fits and forecasts than those obtained from other models we applied for comparison.     

House Prices and Inflation

The present paper examines the long-run impact of inflation on homeowner equity by investigating the relationship between house prices and the prices of nonhousing goods and services, rather than return series and inflation rates as in previous empirical studies on the inflation hedging ability of real estate. There are two reasons for this methodological departure from prior practice: (1) while the total return on housing cannot be accurately measured, the total return on housing is fully reflected in housing prices, and (2) given that using returns or differencing a time series leads to a loss of long-run information contained in the series, valuable long-run information can be captured by using prices. Also, unlike previous related studies, we exclude housing costs from goods and services prices to avoid potential bias in estimating how inflation affects housing prices. Monthly data series are collected for existing and for new house prices as well as the consumer price index excluding housing costs for the period 1968–2000. Based on both autoregressive distributed lag (ARDL) models and recursive regressions, the empirical results yield estimated Fisher coefficients that are consistently greater than one over the sample period. Thus, we infer that house prices are a stable inflation hedge in the long run.     

An Investigation into Restaurant Attributes: A Basis for a Typology

This article has the aim of presenting the basis for a new, clearer classification of restaurant attributes. The research followed an interpretive approach with a systematic review of the literature, compared and contrasted with the findings of six focus group interviews. A new model was devised with seven categories of restaurant attributes. This article presents a model that needs to be tested. Also, follow-up articles with more detail about the attributes under each category will be presented. This article organizes the disparate literature on restaurant attributes and looks into the relationship between attributes, particularly its influence on perceived consumer value.