The costs of non-tariff barriers to trade: Evidence from New Zealand

The Costs of Non-Tariff Barriers to Trade: Evidence from New Zealand. — Recent work on trade policy with imperfect competition indicates that the adverse effects of non-tariff barriers to trade exceed those suggested by traditional theory. With market power in foreign supply, setting a restrictive non-tariff barrier will induce foreign exporters to raise their supply prices. The authors use the experiment provided by the comprehensive New Zealand economic reforms of the mid-1980s. Using panel data on export unit values from Germany and the United States to several destinations including New Zealand, they find some evidence for decreased export prices to New Zealand as a result of the dismantling of non-tariff barriers to trade.     

Measuring Integrated Market and Credit Risk in Bank Portfolios: An Application to a Set of Hypothetical Banks Operating in South Africa

The banking crises of the ‘90s emphasize the need to model the connections between financial environment volatility and the potential losses faced by financial institutions resulting from correlated market and credit risks. Due to the number of variables that must be modeled and the complexity of the relationships an analytical solution is not feasible. We present here a numerical solution based on a simulation model that explicitly links changes in the relevant variables that characterize the financial environment and the distribution of possible future bank capital ratios. This forward looking quantitative risk assessment methodology allows banks and regulators to identify potential risks before they materialize and make appropriate adjustments to bank portfolio credit qualities, sector and region concentrations, and capital ratios on a bank by bank basis. It also has the potential to be extended so as to assess the risks of correlated failures among a group of financial institutions (i.e., systemic risk analyses). This model was applied by the authors to the study of the risk profile of the largest South African Banks in the context of the Financial System Stability Assessment program undertaken by the IMF in 1999. In the current study, we apply the model to various hypothetical banks operating in the South African financial environment and assess the correlated market and credit risks associated with business lending, mortgage lending, asset and liability maturity matches, foreign lending and borrowing, and direct equity, real estate, and gold investments. It is shown to produce simulated financial environments (interest rates, exchange rates, equity indices, real estate price indices, commodity prices, and economic indicators) that match closely the assumed parameters, and generate reasonable credit transition probabilities and security prices. As expected, the credit quality and diversification characteristics of the loan portfolio, asset and liability maturity mismatches, and financial environment volatility, are shown to interact to determine bank risk levels. We find that the credit quality of a bank's loan portfolio is the most important risk factor. We also show the risk reduction benefits of diversifying the loan portfolio across various sectors and regions of the economy and the importance of accounting for volatility shocks that occur periodically in emerging economies. Banks with high credit risk and concentrated portfolios are shown to have a high risk of failure during periods of financial stress. Alternatively, banks with lower credit risk and broadly diversified loan portfolios across business and mortgage lending are unlikely to fail even during very volatile periods. Asset and liability maturity mismatches generally increase bank risk levels. However, because credit losses are positively correlated with interest rate increases, banks with high credit risk may reduce overall risk levels by holding liabilities with longer maturities than their assets. Risk assessment methodologies which measure market and credit risk separately do not capture these various interactions and thus misestimate overall risk levels.     

Strategic Commitment and Timing of Internationalization from Emerging Markets: Evidence from China,India, Mexico,and South Africa

In a study of 257 new ventures from China, India, Mexico, and South Africa, we find support for the mediating effect of strategic early internationalization on international sales intensity. We argued that when new ventures from emerging markets internationalize early and with commitment, the legitimacy they acquire helps them overcome liabilities of newness and foreignness. We develop a typology of international new ventures that, based on strategic intent and timing of internationalization, distinguishes strategic early internationalizers from persistent, serendipitous, and long‐term internationalizers. We show that strategic early internationalization accounts for over half of the explained variance in international sales intensity and either fully or partially mediates the effects of managerial knowledge and market orientation on international sales intensity.     

Reflections on discriminant validity: Reexamining the Bove et al. (2009) findings

Bove, Pervan, Beatty and Shiu (2009) develop and test a latent variable model of the role of service workers in encouraging helpful behaviors by customers towards the service business (OCBs). Farrell (2010) questions these findings due to an incorrect application of the Fornell and Larcker (1981) discriminant validity test. The authors respond to Farrell's criticism by discussing the options available for assessing discriminant validity, the current use of these options in top journals, the underlying assumptions of these assessments, and the appropriateness of the alternative assessments under different types of situations. Finally, the authors address the specific concerns raised in Farrell (2010) in regard to Bove et al. (2009).     

Trans‐Tasman Transmission of Government Spending Shocks

This paper investigates the international transmission of fiscal shocks between two closely‐linked, open economies. We estimate impulse response functions using a semi‐structural vector auto regressive (VAR) model and quarterly data from Australia and New Zealand for the period 1973:3–2008:4. We compare our empirical results with impulse response functions from a calibrated two‐country international real business cycle model with habit formation and adjustment costs to investment. We show that a positive shock to Australian government consumption leads to an increase in Australian output initially and then to a decline in the medium term, while the New Zealand output is negatively affected both in the short and medium term. This result is in line with the recent literature that reports beggar‐thy‐neighbour effect of positive government spending shocks.     

Mobility of public researchers, scientific knowledge transfer, and the firm's innovation process

The present study provides evidence on the mobility effects of researchers from the public R&D system with regard to firm's innovation process. This issue is particularly novel and important as these researchers contribute to the production and transfer of knowledge previously developed and accumulated in the public R&D system. The findings confirm that scientific knowledge which public researchers provide has a positive influence on both inputs and outputs of the firms' innovation process. The fact that firms have access to additional knowledge which is complementary to that they already hold represents a spur for exploiting and applying this new knowledge. The firms in this study continually increased their in-house R&D investments. As a result of these investments firms create new knowledge of a unique and valuable type. The study draws two important conclusions geared to providing a greater efficiency in human resource management and to improve the design of technology policies.     

Estimation of investment costs in fish processing plants

Investment costs for fish processing plants are hereby presented along with a detailed analysis of different types of processes in relation to economies of scale.The cost-capacity factor for fish industry is estimated as 0.84, except for fish meal plants where the cost-capacity factor is 0.61.It is also discussed how technology, capacity and location in developed and developing countries can affect investment costs for fish processing plants, while cost-capacity factors remain unchanged.The concept of minimum limit for industrial capacity is included. Investment costs for minimum size plants or plants below minimum size are even greater than what would correspond to the correlation line. This is due to the need to incorporate one or more oversized pieces of equipment.     

Real Exchange Rates, Valuation Effects and Growth in Emerging Markets

We compare the relationship between net capital inflows, real exchange rate movements and growth for twenty emerging markets and twelve developed countries over the period 1985–2004. In developed countries low real exchange rates are associated with faster growth, but in emerging markets depreciations depress growth, even outside crisis periods, and are closely correlated with declines or reversals in net capital inflows. To investigate valuation effects of currency movements, we construct debt-weighted real exchange rate indices for emerging markets, which are more closely correlated with growth than trade-weighted indices.     

Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP*

In this article, we merge two strands from the recent econometric literature. First, factor models based on large sets of macroeconomic variables for forecasting, which have generally proven useful for forecasting. However, there is some disagreement in the literature as to the appropriate method. Second, forecast methods based on mixed‐frequency data sampling (MIDAS). This regression technique can take into account unbalanced datasets that emerge from publication lags of high‐ and low‐frequency indicators, a problem practitioner have to cope with in real time. In this article, we introduce Factor MIDAS, an approach for nowcasting and forecasting low‐frequency variables like gross domestic product (GDP) exploiting information in a large set of higher‐frequency indicators. We consider three alternative MIDAS approaches (basic, smoothed and unrestricted) that provide harmonized projection methods that allow for a comparison of the alternative factor estimation methods with respect to nowcasting and forecasting. Common to all the factor estimation methods employed here is that they can handle unbalanced datasets, as typically faced in real‐time forecast applications owing to publication lags. In particular, we focus on variants of static and dynamic principal components as well as Kalman filter estimates in state‐space factor models. As an empirical illustration of the technique, we use a large monthly dataset of the German economy to nowcast and forecast quarterly GDP growth. We find that the factor estimation methods do not differ substantially, whereas the most parsimonious MIDAS projection performs best overall. Finally, quarterly models are in general outperformed by the Factor MIDAS models, which confirms the usefulness of the mixed‐frequency techniques that can exploit timely information from business cycle indicators.