Tourism development and environmental degradation in the United States: evidence from wavelet-based analysis

The recent literatures indicate that the tourism development (TD) has significant influence over the environmental degradation of both high-tourist-arrival and low-tourist-arrival countries. This study investigates the empirical influence of TD on environmental degradation in a high-tourist-arrival economy (i.e. United States), using the wavelet transform framework. This new methodology enables the decomposition of time-series at different time–frequencies. In this study, we have used maximal overlap discrete wavelet transform (MODWT), wavelet covariance, wavelet correlation, continuous wavelet power spectrum, wavelet coherence spectrum and wavelet-based Granger causality analysis to analyse the relationship between TD and CO₂ emission in the United States by using the monthly data from the period of 1996(1) to 2015(3). Results indicate that TD is majorly having the positive influence over CE in short, medium and long run. We find the unidirectional influence of TD on CE in short run, medium and long run in the United States.     

Blockchain technology in the smart city: a bibliometric review

Quality & Quantity - Blockchain can function as a foundational technology with numerous applications in smart cities. The objective of this paper is twofold. First, it provides a detailed...     

Is There a Size Effect in the Pricing of Stocks in the Chinese Stock Markets?: The Case of Bull Versus Bear Markets

Size effect studies generally suggest that a return premium exists for small firms. While the size effect has mostly disappeared in recent years in mature markets (e.g., US and UK), it remains mostly strong in developing markets. The purpose of this paper is to examine the relationship between firm size and excess stock returns in the Chinese stock markets, and to examine this effect in both a bull and bear market. No studies have previously examined these relationships in the Chinese markets. The results of the study indicate that a size effect exists in the Chinese stock markets over the 6-year period from 1998 to 2003. We find small firms have significantly greater excess returns than large firms. Moreover, small firms are found to have a stronger reaction to the direction of the market than large firms. Small firms have significantly greater positive excess returns than large firms during the bull market. However, small firms have significantly greater negative returns (using total market value), or no significant difference in returns (using float market value) during the bear market period.     

Islamic financing and bank risks: The case of Malaysia

We examine whether Islamic financing can explain three important bank risks in a country with a dual banking system: credit risk, interest‐rate risk, and liquidity risk. Using Malaysian data, we find that commercial banks with Islamic financing have significantly lower credit and liquidity risks but significantly higher interest‐rate risk than banks without Islamic financing. There is also evidence that bank size is significantly related to credit risk; the proportion of loan sales to total liabilities and bank size are significant determinants of interest‐rate risk; and off‐balance‐sheet financing, the extent of securitization, loan volatility, bank capital, and bank size are statistically significantly related to liquidity risk. © 2005 Wiley Periodicals, Inc.     

Measuring Nonprofit Incubator Performance: Toward an Adapted Balanced Scorecard Approach

The number of business incubators in the world has risen dramatically, with many regions promoting nonprofit incubators. Yet declines in public funding have brought to the fore a key question about how well they perform. Both policymakers and incubator managers therefore stand to benefit from reliable tools to monitor performance. In this paper, we present a scale to measure incubator performance based on the research literature on incubator performance and management control. We used the balanced scorecard as a basis for thought about how best to develop a model of nonprofit incubator performance. Data collected from 121 incubator managers show that performance can be assessed along four constructs: local development performance, incubatee satisfaction, incubation processes, and learning. This tool comprises a broad range of performance indicators and, perhaps more importantly, may help incubator managers to better run their organizations and regional policymakers to better evaluate their entrepreneurship policies.     

Output volatility,composition of trade,and transmission of economic shocks across countries

In this paper we investigate how supply and demand shocks in one country affect output volatility in other countries. While the evidence for cross‐country transmission of demand shocks is mixed, we find that volatile supply in one country leads to larger imports and output volatility in other countries. As a result, the effect of trade openness on output volatility is highly heterogeneous across countries and depends on the composition of their trade. Those countries whose imports originate in economies with volatile supply experience a greater impact of trade on output volatility.     

Can Benefits in Recreational Parks in Malaysia Be Transferred? A Choice Experiment (CE) Technique

This paper analyses benefit transfer in the case of recreational parks using the choice experiment (CE) technique. The CE was employed because it allows different changes in recreational park attributes to be taken into account. The analyses were performed in terms of transferability of valuation function and willingness to pay (WTP) values. The results for the valuation function suggest that the estimated coefficients between the two sites are not transferable. However, the estimated WTP values can be transferred. The results suggest the suitability of using the CE approach in analysing benefit transfer if the objective is to transfer the WTP values rather than the valuation function. Copyright © 2014 John Wiley & Sons, Ltd.     

E-Alliance: A Negotiation Infrastructure for Virtual Alliances

In this paper we provide an overview of E-Alliance, a software infrastructure we are developing to support negotiation activities in concurrent inter-organisational alliances. Our baseline is to offer a collaboration framework which fully preserves the autonomy of organisations grouped in an alliance, while enabling concurrency of their activities, flexibility of their negotiations and dynamic evolution of their environment. We propose to support negotiation between the partners within such alliances by combining different technologies, such as software engineering techniques, middleware-level coordination facilities and multiagent systems support. We present our approach in the context of a sample scenario of an alliance where partners are printshops capable of (out/in) sourcing print jobs among them to better accomplish their customers' requests.     

The inoperability extended multisectoral model and the Role of Income Distribution: A U.K. Case Study

In this paper, an effort is made to enrich the current input–output (I–O) methodologies employed for studying disruptive events, by extending the I–O framework and including all the phases of the circular flow of income into the overall disaster impact. In this respect, the Inoperability Extended Multisectoral Model is created and implemented in order to estimate the higher‐order effects in terms of value added and disposable income. The social accounting matrix, referred to the United Kingdom, is constructed and proposed as a starting point for assessing the effects of a system perturbation related to the eruption of the Volcano Eyjafjallajökull, in mid‐April 2010, which affected air transport services due to the full closure of the U.K.'s airspace for several days. Finally, the ranking of those commodities and institutional sectors which are badly affected can provide guidance to policymakers in order to minimize the overall impact on the economy.