Environmental practices in the wine industry: An empirical application of the theory of reasoned action and stakeholder theory in the United States and New Zealand

Industry transformation related to environmental stewardship has received significant scholarly attention over the past decade. However, limited theoretical and empirical work examines the motivations for improving environmental performance in an industry in different countries. In this paper, we develop a set of hypotheses, based in the theory of reasoned action and stakeholder theory, regarding drivers of the adoption of environmental practices in the wine industries of New Zealand and the United States. We test our hypotheses using data from survey questionnaires collected in each country. Our findings suggest that subjective norms and internal stakeholder pressures are common drivers of the adoption of environmental practices in these two countries. However, managerial attitudes and external stakeholder pressures are not significant drivers. We also find that managerial attitudes and export dependence are stronger determinants of environmental practice adoption in New Zealand compared to the U.S.     

Estimating Differential Dynamic Merger Effects on Market Structure and Entry in Related Markets

The U.S. and EU merger guidelines emphasize “ease of entry” arguments but little is known about the dynamic impact of realized mergers on market structure. This study provides insights on this topic with the use of detailed firm-level data on the memory chip market. Our estimation results provide evidence for differential merger effects on market structure. These effects depend on whether the mergers are dominated by market-power or efficiency gains. While efficiency-dominated mergers cause exit, market-power-dominated mergers attract entrants, and these effects are increasing over time. We also find that market-power mergers have a larger effect on entry than efficiency mergers have on exit. Our results show that mergers can reduce the number of potential entrants into related product markets and serve as an instrument to “reduce the likelihood of entry”.

     

What is not beautiful should match: how attractiveness similarity affects consumer responses to advertising

This study introduces the concept of attractiveness similarity, empirically examines its main effect and whether it moderates the effect of endorser attractiveness on consumer responses to advertising. The results show a positive main effect of attractiveness similarity over and above the mere effect of endorser attractiveness. In addition, a consistent moderating effect of attractiveness similarity on the effect of endorser attractiveness emerges: attractiveness similarity buffers against the less positive effects of lower levels of endorser attractiveness (i.e., it compensates for lower levels of endorser attractiveness). Overall, these findings reveal attractiveness similarity as a new variable in endorser advertising, which has important managerial implications. Advertising campaigns employing averagely attractive endorsers should pay special attention to attractiveness similarity.     

The causality examination between demand uncertainty and hotel failure: A case study of international tourist hotels in Taiwan

The hotel business is highly sensitive to economic cycles, as the industry faces high frequency and high fluctuation of uncertainty over the demand for lodging services. Without a thorough consideration on the issue, hotels may undergo a business crisis. This research therefore investigates the influence of demand uncertainty on hotel failure by using the operation data of international tourist hotels in Taiwan during 1995–2008. The analysis applies two stages of estimation. The first stage employs a first-order autoregressive model, AR(1), to model lodging demand uncertainty. The second stage estimates the likelihood of hotels’ failure by using a logit model. The results are supportive to determine that the demand uncertainty causes hotel failures.     

Empirical of the Taiwan stock index option price forecasting model – applied artificial neural network

This work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors. Out of different approaches to estimating volatility in the option pricing model, this study uses backpropagation neural network to forecast prices for Taiwanese stock index options. The ability to develop accurate forecasts of grey prediction volatility enables practitioners to establish an appropriate hedging strategy at in-the-money option.     

ERM crisis in retrospect: What if a European central bank had been in existence before 1992?

This paper explores whether policy coordination or a single monetary policy implemented earlier would have kept the U.K. in the process of European monetary integration. On the basis of the pre-ERM crisis empirics by Douven and Plasmans (1996), a counterfactual game simulation approach is used, and five scenarios are established for comparison with the actual historical records. The final answer is negative.