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.     

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.     

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...     

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.     

Managing Perceptions of Technical Competence: How Well Do Auditors Know How Others View Them?*

We investigate factors that influence an auditor's accuracy in knowing how subordinates, peers, and superiors view his or her own technical competence (metaperception). Extant literature on reputation management in auditing contexts depicts preparers of audit workpapers as strategic agents (subordinates) who stylize workpapers and engage in behaviors that enhance their reputations with reviewers (superiors). These superiors, in turn, are represented as strategically engaging in coping behaviors in response to such stylization attempts. One of the necessary conditions for auditors to enhance their reputations on a sustainable basis is accurate metaperception. We report the results of an experiment that investigates determinants of auditors' metaperception accuracy. Our participants comprise teams of audit partners, managers, and seniors who work together in the field. Each auditor performs two tasks of varying complexity and then predicts whether other team members can accurately perform the task and how other team members assess his or her performance on the tasks. Results show that accuracy in knowing what others think of one's technical proficiency (metaperception) is generally high, particularly when the predictor auditors are partners and managers; however, metaperception accuracy is asymmetric and varies depending on the predictor auditor, the target auditor being predicted, and task complexity. Implications are discussed.     

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.     

Viewpoint: An extended class of instrumental variables for the estimation of causal effects

Abstract We examine how structural systems can yield observed variables instrumental in identifying and estimating causal effects. We provide an exhaustive characterization of potentially identifying conditional exogeneity relationships and demonstrate how structural relations determine exogeneity and exclusion restrictions that yield moment conditions supporting identification. This provides a comprehensive framework for constructing instruments and covariates. We introduce notions of conditioning and conditional extended instrumental variables (XIVs). These permit identification but need not be traditional instruments, as they may be endogenous. We distinguish between observed XIVs and proxies for unobserved XIVs. A main message is the importance of sufficiently specifying causal relations governing the unobservables.     

Oil income shocks and economic growth in Iran

The aim of this paper is to study the relationship between oil revenue shocks and output growth in Iran by Adopting an SVAR model over the period 1959–2008. The results indicate that positive and negative oil revenue shocks significantly affect output growth positively and negatively respectively and these effects are asymmetric. While negative oil revenue shocks adversely affect the economic growth, the resource curse impedes the expected positive effects of positive oil shocks. In order to overcome the harmful effects of oil booms and busts, the establishment of oil stabilization and saving funds, diversifying economy, delinking government expenditure from oil revenues and introducing fiscal rules into the budget seems crucial for Iran economy.     

‘No strings attached?’: How attribution of disinterested support affects employee retention

Appearance of disinterestedness is a social norm that has long been recognised by social scientists as essential to the development of social exchange relationships. Despite the predominance of social exchange theory within the field of management, management scholars have so far largely overlooked the role of this norm in their models. This study aims to fill this gap by investigating how employees' attribution of disinterested organisational support (i.e. support perceived by employees as not resulting from an underlying calculation) is related to employee retention. The hypotheses were tested in a longitudinal study of 151 management‐level employees. Results showed that perceptions of disinterested support decrease employee voluntary turnover through enhancing perceptions of organisational support and organisational commitment, and lessening turnover intention.