A Resource-Centred Interpretation of Export Performance

Consistent with Mahoney and Pandian's (1992) vision of the resource-based view as the emergent language for conversations within strategic management, this paper has employed a resource-based framework in integrating and interpreting identified influences on export performance. Aggregate evidence suggests the critical importance of several resource-related factors, including having top management staff with relevant experiential, orientational and attitudinal resources; ‘co-locating’ within resource-supporting clusters; possessing organisational-wide capabilities in export-related knowledge development and planning, product innovation, and quality service delivery; and leveraging strategically-relevant resources embodied in external partners. The theoretical, managerial, policy, and future research implications of these findings are discussed.     

Trade Agreements and Trade Opportunities: A Flexible Approach for Modeling Australian Export and Import Elasticities

Patterns of trade have changed enormously over the last 30 years, particularly due to the economic emergence of several Asian countries. With the increasing international tendency for bilateral preferential trade agreements, it is important for countries to be aware of trade substitution possibilities. This paper estimates import and export price elasticities for Australia and its major trading partners in Europe and Asia, 1958 to 2002, using a fully flexible version of the Symmetric Normalized Quadratic aggregator function. Imports and exports are disaggregated into six regions, covering 17 countries. Our results illuminate the (changing) substitution and complementarity patterns for Australian foreign trade, highlighting trading opportunities in the face of a changing international environment.     

A simple model of coalitional bidding

Summary. We analyze a model of coalitional bidding in which coalitions form endogenously and compete with each other. Since the nature of this competition influences the way in which agents organize themselves into coalitions, our main aim is to characterize the equilibrium coalition structure and the resulting bids. We do so in a simple model in which the seller may have good reason to allow joint bidding. In particular, we study a model in which the agents are budget constrained, and are allowed to form coalitions to pool their finances before engaging in the first price auction. We show that if the budget constraint is very severe, the equilibrium coalition structure consists of two coalitions, one slightly larger than the other; interestingly, it is not the grand coalition. This equilibrium coalition structure is one which yields (approximately) the maximum expected revenue. Thus the seller can induce the optimal (revenue maximizing) degree of cooperation among budget constrained buyers simply by permitting them to collude. Received: June 25, 1999; revised version: November 13, 2000     

Uncertainty shocks and asymmetric dynamics in Korea: a non-linear approach

This study investigates the impact of uncertainty shocks on macroeconomic activity in Korea. For this purpose, a Smooth Transition VAR model is employed to document the state-dependent dynamics of two distinct types of uncertainty shocks, namely, financial market based and news-based. When non-linearity is allowed to play a role in our model, quantitatively very different asymmetric dynamics are observed. Following inflation targeting, the responses tend to be smoother and less pronounced. Our empirical results support the view that the link between uncertainty and macroeconomic activity is clear over both recessions and expansions. Furthermore, the impact of uncertainty shocks is more pronounced when economic activity is depressed especially after shocks originate from the financial market, and not from news-based policy uncertainty in Korea.     

Does confidence data help forecast business cycles? New evidence from Canada

This paper assesses the contribution of confidence – or sentiment – data for predicting Canadian economic slowdowns. A probit framework is applied to an indicator of the status of the Canadian business cycle produced by the OECD. Explanatory variables include all available Canadian data on sentiment (from four distinct surveys) as well as macroeconomic and financial data. Sentiment data are introduced either as individual variables, as simple averages (such as confidence indices) and as confidence factors extracted from larger datasets containing all available sentiment data. Results indicate that the full potential of confidence data for forecasting Canadian business cycles obtains when factor models are used and all confidence data are utilized.     

Chinese Economy under the New Dual Circulation Strategy: Challenges and Opportunities—A Summary of the Annual SUFE Macroeconomic Report (2020–2021)

Entering year 2020, the Chinese economy was struck by the COVID-19 outbreak. The unprecedented pandemic, entangled with the already elevated complexities in the nation’s internal environment and external surroundings, aggravated its economic outlook. Internal factors including severe education mismatch in China’s labor force, its vanishing demographic dividend, the declined purchasing power of its middle-income groups, risen leverage ratio of households and enterprises, and soared local government debt reinforced to weaken China’s domestic demand. External factors, especially uncertainty in the China-US relation in the face of the re-shaping global value chain, dragged world economic recovery and thus China’s exports and imports. This summary report highlights some major challenges and opportunities faced by the nation under its new development strategy that stresses internal circulation of domestic economy aided by its interaction with the globe. Our analyses based on IAR-CMM model provide a unified framework for addressing China’s short-, medium-, and long-term issues in an internally coherent manner. Looking into year 2021, our benchmark projection reports an 8.4% annual real GDP growth rate. Alternative scenario analyses and policy simulations are conducted to assess the impacts of potential downside risks and the corresponding policy options for ensuring implicit targets. Through the lens of these analyses, we conclude that a refocus on effective management of internal demand, while deepening structural reforms on supply side and advancing orderly opening up, can help smooth the internal and external circulations of the Chinese economy to achieve high-quality development.     

Returns to basic skills in central and eastern Europe

This article uses semi-parametric econometric techniques to investigate the relationship between basic skills and earnings in three post-communist countries: the Czech Republic, Hungary and Slovenia, using the International Adult Literacy Survey dataset. It finds that including a measure of basic skills in a Mincer model reduces the returns to education. In addition, using a partially linear model, in which log earnings is linear in education but is an arbitrary function of basic skills, it finds that this relationship is not well described by the common assumption of linearity at the tails of the distribution.     

Elections, exchange rates and reform in Latin America

In this paper, we study the link between real exchange rate (RER) depreciation and elections in Latin America. Our contribution is threefold. First, we employ a statistical model that takes into account the pervasive conditional heteroskedasticity found in financial data and includes a wide range of macroeconomic variables as regressors. Second, we test whether the wave of central bank reform that swept the region has had any effect on the existence or strength of the electoral cycle in exchange rates. Third, we test an additional hypothesis, namely, that financial liberalization may also be an important variable explaining changes in electoral effects on the real exchange rate. In a panel of 9 Latin American countries with available macroeconomic data and a history of exogenous election dates, we confirm the previous findings that real depreciation intensifies after elections even when modeling the significant conditional heteroskedasticity in these data. We also show, for the first time in the literature, that post-election exchange rates are significantly less predictable. We go on to test whether central bank reform has influenced the way in which elections affect the RER in Latin America. If reform has been effective at reducing political manipulation of the exchange rate, then any relationship we see between elections and the RER before central bank reform should be mitigated in the post-reform era. We find that the relationship disappears after reform and that post-reform real exchange rates are also significantly less volatile. Finally, we show that financial liberalization seems to have a stronger effect on the conditional variance of the RER than does central bank reform, but reform has a stronger impact on the conditional mean.     

Indigenous entrepreneurship as a research field: developing a definitional framework from the emerging canon

This study defines Indigenous entrepreneurship as a distinct disciplinary field of science and charts for it a pre-paradigmatic framework. A strategy of literature search and examination was utilized to argue that Indigenous entrepreneurship is sufficiently distinguished from both mainstream entrepreneurship and other social and management sciences to constitute a legitimate, well-defined sub-field of research in its own right. The study provides both a formal definition of the field and diagrammatic framework to describe it.     

Realising the future: forecasting with high‐frequency‐based volatility (HEAVY) models

This paper studies in some detail a class of high‐frequency‐based volatility (HEAVY) models. These models are direct models of daily asset return volatility based on realised measures constructed from high‐frequency data. Our analysis identifies that the models have momentum and mean reversion effects, and that they adjust quickly to structural breaks in the level of the volatility process. We study how to estimate the models and how they perform through the credit crunch, comparing their fit to more traditional GARCH models. We analyse a model‐based bootstrap which allows us to estimate the entire predictive distribution of returns. We also provide an analysis of missing data in the context of these models. Copyright © 2010 John Wiley & Sons, Ltd.