The evolution of world trade from 1995 to 2014: A network approach

This paper employs network analysis to study world trade from 1995 to 2014. We focus on the main connective features of the world trade network (WTN) and their dynamics. Results suggest that countries’ efforts to attain the benefits of trade have resulted in an intertwined network that is increasingly dense, reciprocal, and clustered. However, these features do not correspond to a linear aggregation of the characteristics of its constituents (trade sectors). Trade linkages are distributed homogeneously among countries, but their intensity (i.e. their value) is highly concentrated in a small set of countries. The main connective features of the WTN were not affected by the 2007–2008 international financial crisis. However, we find that the crisis marks a turning point in the evolution of the WTN from a two-group (led by the US and Germany) to a three-group (led by the US, Germany, and China) hierarchical structure.     

Competition and Appraisal Inflation

The Journal of Real Estate Finance and Economics - In mortgage debt contracts, real property serves as collateral and the terms of mortgage financing are largely conditional on the certification of...     

Effects of investor tax heterogeneity on stock prices and trading behaviour around the ex-dividend day: the case of Australia

Using a sample of Australian stocks during the 1996–2014 period, this study examines how tax heterogeneity between domestic and foreign investors affects trading behaviour and stock prices around the ex-dividend day. Domestic investors prefer dividends and tend to buy stocks cum-dividend and sell them ex-dividend whereas foreign investors tend to trade in the opposite direction. Abnormal trading turnover increases with tax heterogeneity. Moreover, stocks with a larger domestic investor base are associated with a higher price drop-off ratio on the ex-dividend day and higher market value of franking credits. Overall, our findings support the dynamic dividend clientele hypothesis.     

Assessing Systemic Importance With a Fuzzy Logic Inference System

Three metrics are designed to assess Colombian financial institutions' size, connectedness and non-substitutability as the main drivers of systemic importance: (i) centrality as net borrower in the money market network; (ii) centrality as payments originator in the large-value payment system network; and (iii) asset value of core financial services. An aggregated systemic importance index is calculated based on expert knowledge by using a fuzzy logic inference system. We use principal component analysis to calculate a benchmark index for comparison purposes. Overall similarities between both indexes put forward that expert knowledge aggregation is consistent with that based on a purely quantitative standard approach. Specific non-negligible differences concur with the nonlinear features of an approach whose intention is to replicate human reasoning. Both indexes are complementary and provide a comprehensive relative assessment of each financial institution's systemic importance in the Colombian case, in which the choice of metrics pursues the macroprudential perspective of financial stability. Copyright © 2015 John Wiley & Sons, Ltd.     

Information on sellers and buyers characteristics: added value to explain price formation at primary fish markets in managed French scallop fisheries

The aim of this article is to explore, through a hedonic approach, the factors that might explain the price variability for the French-managed fishery of scallop at primary fish markets. In addition to factors classically identified in the current literature like intrinsic product characteristics or markets situation, the characteristics of operators are tested. The relationships of loyalty between sellers and buyers, and market assiduity are notably considered.     

Production Technology Estimates and Balanced Growth

Capital‐labour substitution and total factor productivity (TFP) estimates are essential features of many economic models. Such models typically embody a balanced growth path. This often leads researchers to estimate models imposing stringent prior choices on technical change. We demonstrate that estimation of the substitution elasticity and TFP growth can be substantially biased if technical progress is thereby mis‐specified. We obtain analytical and simulation results in the context of a model consistent with balanced and near‐balanced growth (i.e. departures from balanced growth but broadly stable factor shares). Given this evidence, a constant elasticity of substitution production function system is then estimated for the US economy. Results show that the estimated substitution elasticity tends to be significantly lower using a factor‐augmenting specification (well below one). We are also able to reject conventional neutrality forms in favour of general factor augmentation with a non‐negligible capital‐augmenting component. Our work thus provides insights into production and supply‐side estimation in balanced‐growth frameworks.     

Dimensions of entrepreneurial orientation and small and medium enterprise performance in emerging economies

The removal of trade barriers has encouraged the entry of new competitors into formerly protected markets. This situation creates pressure on many small and medium enterprises (SMEs) in emerging economies such as Tanzania. Using a survey method and cross-sectional research design, the research examines three dimensions of entrepreneurial orientation (EO), namely: pro-activeness, risk-taking and competitive aggressiveness. Understanding their relationships and variance may help to improve our ability to explain SME performance. The findings contribute to how SME performance in emerging economies can be enhanced to enable SMEs to face challenges posed by competitor influx in the context of an open market economy. The findings indicate a strong relationship between EO dimensions and performance, with risk-taking and competitive aggressiveness moderating the effect of pro-activeness. The proposed model could predict 72% of the variance explained in SME performance.     

Tourist Satisfaction and Destination Image of Vietnam's Ha Long Bay

Although considerable work has been done on destination image as a whole, far less research has investigated the differences in destination image assessments for domestic versus international visitors in developing countries. This study offers findings that illustrate the differences in perception of destination image, satisfaction attributes, and intention among domestic and international visitors to Ha Long Bay, a United Nations Educational Scientific and Cultural Organization World Heritage Site in Vietnam. The results of a survey on 650 tourists suggest that international visitors to the Ha Long Bay region have higher standards and are more critical in their evaluation of services than domestic visitors when judging this destination. Destination image is a common factor determining the level of satisfaction of both groups. Basic and augmented services were found to influence international visitors’ future intention toward the destination. This finding implies that the destination managers of Ha Long Bay need to improve current standard of augmented services to yield higher visitors’ propensity to recommend and return to the destination.