Agricultural market integration in the OECD: A gravity-border effect approach

This paper uses the border effect estimate from a gravity model to assess the level of agricultural market trade integration among 22 OECD countries for the 1994–2003 period. Empirical analysis confirms that the use of a gravity equation derived from theory, in the estimation of border effect, matters. A representative estimate of the border effect shows that crossing a national border within the OECD induces an average trade-reduction effect of a factor 13. This average value masks differences that are quite substantial in market integration, with value for intra-EU trade being higher while that for trade between the Central and Eastern European Countries (CEECs) is lower. The data show a process of strong integration in all the country-trade combinations involving CEECs. However, quite surprisingly, the intra-CEEC and OECD-CEEC integration processes are almost twice as strong as those in the EU-CEEC combination. Finally, the equivalent tariffs implied by the estimated border effects are not implausible compared to the actual range of direct protection measures.     

Explaining National Border Effects in the QUAD Food Trade

Using a ‘structural’ gravity‐like model, this paper first provides estimates of bilateral ‘border effects’ in food trade among the QUAD countries (the US, Canada, Japan and the EU) at the ISIC (International Standard Industrial Classification) four‐digit level (18 food sectors). It then investigates the underlying reasons for border effect, assessing the role played by policy barriers (tariffs, non‐tariff barriers to trade (NTBs) and domestic support) with respect to barriers unrelated to trade policy, such as information‐related costs, cultural proximity and preferences. In contrast to several previous findings, our results show that policy trade barriers, especially in the form of NTBs, are part of the story in explaining national border effects. Interestingly, in all country pair combinations, NTBs significantly dominate the trade reduction effect induced by tariffs. However, results show that elements linked to information‐related costs and consumer preferences matter a great deal in explaining the magnitude of border effects. These findings have implications for the economic and welfare‐related significance of national borders.     

Patterns and Determinants of International Trade Costs in the Food Industry

This paper documents patterns in international trade costs in processed foods for a large cross‐section of developing and developed countries, during the 1976–2000 period. A trade costs index is inferred from a micro‐founded gravity equation that incorporates bilateral ‘iceberg’ trade costs. For 2000, the trade costs, expressed as weighted average tariff equivalent, range from 73% for the north to 134% for the south countries. The time patterns show an average reduction of about 13% in the observed period that rises to 26% for the emerging countries. However, the same does not occur for south countries. On ranking the trade costs determinants, we find that, on average, geographical and historical factors seem to dominate those of infrastructure and institutions. However, trade policy emerges as an important determinant of the trade costs between north and emerging countries.     

Local variety and innovation performance in the EU textile and clothing industry

ABSTRACT

A large body of the literature showed that related variety at local level is more relevant than unrelated variety for explaining the innovation performance of firms. Knowledge relatedness is usually measured by considering activities within the same industry (i.e. the same two-digit code) while activities in different industries are associated with unrelated variety. This approach is challenged by the increasing relevance of transversal technologies, i.e. technologies that are developed and applied in rather different sectors. As a result, between industry variety (i.e. unrelated variety) is expected to be more important than within industry variety (i.e. related variety). We test this hypothesis by examining the innovation activities of firms in the textile and clothing industry. The innovation model of these firms is characterized by low investment in R&D, little capabilities for autonomous innovation and dependence from knowledge suppliers belonging to different sectors. The empirical analysis, carried out over the 1996–2014 period at the EU NUTS2 level, shows that between industry variety has a greater impact than within industry variety for the innovative performance of firms.     

The Impact of Conflict Types and Location on Trade

This article investigates the impact of interstate and intrastate conflict on trade. Analyses rely on a pooled time-series cross-sectional dataset with observations for 134 countries from 1979 to 2000. Results show that intrastate conflict has a larger negative impact on trade than interstate conflict; conflict in the exporting country has a more negative impact on trade than conflict in the importing country; and, finally, conflict's destructive effects go beyond the borders of the countries that directly experience it, as trade flows are also negatively influenced by conflict in neighboring countries.     

Estimates regarding demographic developments in Romania by quantitative and qualitative assessments

The enlargement of the European Union and the liberalization of the labour market will substantially influence the demographic indicators in New Member States. The paper aims to identify and synthetically present some factors of influence which triggered by the end of the 20th century and the beginning of the 21st century a series of characteristics defining the changes of the demographic model and structure of population on age brackets. Romania＇s population lost in the period 1992-2007 about 1250 thousands persons, which represents more than the population increase effort by restrictive policies （abortion prohibition） during the period 1977-1992. Also, this paper presents the most important factors that determine the demographic decline beginning in the last decade of the 20th century, both at national and regional levels. For Romania, another phenomenon is represented by the demographic dregs due to the emigration of the feminine population of fertile age. The increase of the share of female population in the emigration flows became more noticeable in the period 2002-2007. Supposing that from those women who migrate, less than 2/3 are going to give birth to children abroad, （1.3 represents the fertility rate at present）, we can estimate, for example, that during the period 2000-2007 Romania has lost more than 69,099 persons. The paper presents some theoretic considerations on the Markov-type model, and the results obtained by using it for studying the development of demographic indicators in Romania, and their forecasting as well.     

Option spanning with exogenous information structure

Supplementing a finite state-space static securities market with options written on an injective claim obtains market completeness. This study concludes that options maintain this spanning property in the infinite state-space static securities market models of interest in the extant literature. In addition, underlyers for which options bring about market completeness are shown to be dense.     

A meta-design approach to agroindustrial buildings: A case study for typical Italian wine productions

The study is part of a wider research aiming at defining building design criteria for small and medium-sized wine-growing and producing farms. The goal of this paper is to work out and validate a specific meta-design process, suitable to lead to the definition of possible layout solutions optimized in terms of functional requirements. The production process has been resolved into two macro-phases, in their turn composed of sections consisting of various series of operations and functions. The in-depth analyses performed on the spatial requirement of these operations and functions allowed to define the functional areas and spatial units suitable for building design. Finally, their functional and spatial relations were analysed through flow charts and matrix approach. The results allowed us to outline examples of possible layout solutions.     

Predictive density estimators for daily volatility based on the use of realized measures

The main objective of this paper is to propose a feasible, model free estimator of the predictive density of integrated volatility. In this sense, we extend recent papers by Andersen et al. [Andersen, T.G., Bollerslev, T., Diebold, F.X., Labys, P., 2003. Modelling and forecasting realized volatility. Econometrica 71, 579–626], and by Andersen et al. [Andersen, T.G., Bollerslev, T., Meddahi, N., 2004. Analytic evaluation of volatility forecasts. International Economic Review 45, 1079–1110; Andersen, T.G., Bollerslev, T., Meddahi, N., 2005. Correcting the errors: Volatility forecast evaluation using high frequency data and realized volatilities. Econometrica 73, 279–296], who address the issue of pointwise prediction of volatility via ARMA models, based on the use of realized volatility. Our approach is to use a realized volatility measure to construct a non-parametric (kernel) estimator of the predictive density of daily volatility. We show that, by choosing an appropriate realized measure, one can achieve consistent estimation, even in the presence of jumps and microstructure noise in prices. More precisely, we establish that four well known realized measures, i.e. realized volatility, bipower variation, and two measures robust to microstructure noise, satisfy the conditions required for the uniform consistency of our estimator. Furthermore, we outline an alternative simulation based approach to predictive density construction. Finally, we carry out a simulation experiment in order to assess the accuracy of our estimators, and provide an empirical illustration that underscores the importance of using microstructure robust measures when using high frequency data.     

The importance of technology-based intersectoral linkages for market share dynamics

The Importance of Technology-Based Intersectoral Linkages for Market Share Dynamics. — The paper introduces technology-based intersectoral linkages (or technological spillovers) in an empirical model of international market share dynamics. The Pavitt taxonomy is applied as a yardstick for interpreting the empirical results. Overall, the results appear to be broadly consistent with the criteria behind the taxonomy, on the relative importance of the different factors of competitiveness in the different sectors. In particular, unit labour costs appear to play the largest role in supplier-dominated industries, ‘own sector’ technological activity plays the largest role in science-based industries, upstream linkages in scale-intensive and downstream linkages in specialized-supplier types of industries.