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It seems to be well understood that the simultaneous import and export of goods which have different production functions, but which are aggregated into the same industry in classification schemes such as the SITC, is quite consistent with the standard trade theory of the Heckscher‐Ohlin‐Samuelson (HOS) model. For example, Grubel and Lloyd (1975, p.87) admit that two‐way trade in products such as wood and metal furniture, or nylon and wool yarn, which have similar end uses but different input requirements, can be explained readily by the HOS model (1979, p. 88). Gray explicitly distinguishes between “categorical aggregation” which occurs when there is two‐way trade in goods with different production functions and is consistent with the HOS model, and “true intra‐industry trade” which occurs when a country imports and exports “goods with virtually identical production functions”.

This article modifies a framework developed in industrial organisation analysis to identify the nature of the gains associated with pure intra‐industry exchange, and to isolate the factors which may influence their magnitude. The analysis suggests that since the magnitude of any gains is dependent on a number of variables no general statements can be made about the gains from intra‐industry exchange relative to inter‐industry exchange.

The author invokes the concept of strategic adaptation to first specify the evolutionary as well as the strategic character of the causal mechanism (“intra-industry exit”), and second to explain its effect on the evolution of firms' within-industry geographic scope. The author reconciles the two competing logics for firm behavior – strategic choice and environmental selection – that underpin alternate explanations for the relationship between intra-industry exit and the evolution of geographic scope. This paper contributes to both theory and empirics concerning the dynamics of firms' competitive scope, in general, and within-industry geographic scope, in particular.

The US long-distance telecom services industry during the period 1984–1996, which satisfies the empirical requirements of a geographically fragmented industry characterized by demand-side heterogeneity across the submarkets, provides the research setting and panel data to test the empirical hypotheses.

The author finds that while the firms' overall performance influences their intra-industry exit decisions, it is the firm-in-market performance that influences their decision to exit a specific submarket. The author also finds that intra-industry exit decision, when influenced by firm performance, does lead to reduction in geographic scope.

This context-specific theory, which conceptualizes the dynamics of firms' geographic scope as an evolutionary process, explains the temporal change in the geographic scope of firms during the latter part of the demand growth stage of a geographically fragmented industry.

This analysis of the demand-side dynamics of firms' within-industry geographic scope focuses on the hypothetical causal effect of intra-industry exit, a pervasive business phenomenon. First, the demand-side analysis of the evolution of geographic scope is grounded in a theoretical framework that melds firm dynamics with submarket dynamics and industry dynamics. Second, this analysis explicates the demand-side underpinnings of the strategic adaptive mechanism.

This paper aims to explore how intra-industry entrepreneurial experience and failure entrepreneurial experience affect novelty-centered business model design in a new venture. Moreover, the authors also consider whether the contingent value of entrepreneurial experience may differ according to competitive intensity.

A survey via questionnaire was conducted with 290 entrepreneurs and top managers from Chinese new ventures that provided the research data. Hierarchical regression analysis was used to test the proposed theoretical hypotheses.

The empirical results indicate that intra-industry entrepreneurial experience has an inverted U-shaped effect on novelty-centered business model design, whereas failure entrepreneurial experience has a negative effect on novelty-centered business model design. Furthermore, the authors also find that competitive intensity weakens the inverted U-shaped effect of intra-industry entrepreneurial experience on novelty-centered business model design.

This study offers new insights into the effects of intra-industry entrepreneurial experience and failure entrepreneurial experience on novelty-centered business model design and provides useful suggestions for new ventures to promote business model design.

The purpose of this paper is to analyze to what extent spending on innovation activities and collaboration at the industry level affects the relationship between firm innovation and performance.

A conceptual model was proposed and empirically tested using multiple linear regression. The data were obtained from the Community Innovation Survey 2012, composing a sample of 890 Italian manufacturing firms.

The results provided full support for the positive moderating effect of intra-industry innovation spending and partial support for the positive moderating effect of intra-industry collaboration, both regarding the relationship between firm innovation spending and performance. Knowledge spillovers derived from intra-industry innovation spending and intra-industry collaboration affect firm performance. While this finding corroborates other studies that have found that the intra-industry R&D spending influences firms’ innovation and performance, it also contributes to improve the understanding about the complementarity of internal innovation activities and knowledge spillovers.

This study contributes to theory by filling a gap concerning the complementarity of internal innovation activities and the effect of knowledge spillovers to improve firm performance. Our findings suggested that intra-industry openness to collaboration and innovation spending, as proxies of knowledge spillovers, plays an important role in complementing firm level innovative efforts, even in the case of firms that spend less on innovation and have a lower degree of collaboration. This is especially relevant for small and medium enterprises, which can take advantage of access to the necessary information to overcome their internal resource constraints for R&D and innovation. The originality of these findings adds value in terms of furthering the understanding of this phenomenon.

The dominant paradigm of world trade patterns posits two principal features. Trade between North and South arises due to traditional comparative advantage. Trade within the North, largely intra-industry trade, is based on economies of scale and product differentiation. The paradigm specifically denies an important role for endowment differences in determining North–North trade. We demonstrate that trade in factor services among countries of the North is systematically related to endowment differences and large in economic magnitude. Intra-industry trade, rather than being a puzzle for a factor endowments theory, is instead the conduit for a great deal of this factor service trade.

This paper proposes to use changes in intra‐industry specialization indicators over the period 1996‐2008 to assess the potential for factor adjustment pressures that may arise in the USA if the proposed USA‐Colombia Trade Promotion Agreement (TPA) is implemented. Results show that there is considerable scope for intra‐industry specialization between Colombia and the USA. The TPA should result in a larger increase in US exports to Colombia than US imports from Colombia, because Colombian exporters face much lower tariffs in the USA market than do US exporters in the Colombian market. Given the tariff asymmetry, scope for intra‐industry specialization, the relatively large size of the US market, and the small number of US industries that are likely to encounter factor adjustment pressures, the USA should ratify the agreement immediately.

Changes in intra‐industry specialization indicators are used to identify US industries that may face factor adjustment pressures as a result of the proposed USA‐Colombia TPA.

There is considerable scope for intra‐industry specialization between Colombia and the USA. Few US industries will be candidates for factor adjustment pressures.

The USA should ratify the TPA.

A new methodology is used to assess potential factor adjustment pressures associated with a TPA.

The purpose of this paper is to examine the relationship between trade integration and intra-regional business cycle synchronization using value-added trade data. Most empirical studies analyzing the relationship between trade integration and business cycle synchronization use gross trade data which suffer from double-counting. Double-counting distorts the empirical results on the estimated relationship between trade integration and business cycle synchronization. This paper explores the relationship using value-added trade data to be free from distortions caused by double-counting.

Gross trade data on exports and imports are decomposed into sub-categories following Koopman et al. (2014). Then, value-added data on exports and imports without double-counted terms are built to measure value-added bilateral trade intensity and value-added intra-industry trade intensity. Using this value-added trade intensities, the author run panel regressions for Europe and East Asian countries to examine how value-added trade intensities are correlated with output co-movements.

The paper finds that for European countries, the positive association between trade and business cycle co-movements is more evidently observed and the role of intra-industry trade increasing the business cycle synchronization is also more clearly revealed by value-added trade data. On the other hand, for East Asian countries, value-added trade data reveal that it is very uncertain whether increased trade contributes to stronger synchronization of business cycles and intra-industry trade is truly the major factor which deepens the business cycle co-movements.

First, the paper examines the relationship only by running static panel regression. There is a need to employ different methodologies such as instrumental variable regression or dynamic panel regression. Second, financial integration and policy coordination within a region are also other relevant factors which influence the intra-regional business cycle synchronization. There is a need to examine the relationship using value-added trade data with the variables measuring the degree of financial integration and policy coordination. Third, value-added trade data used in this paper has limited coverage of East Asian countries. There is also a need to extend the value-added data set to cover more countries and industries.

Most empirical literature studying the relationship between trade integration and business cycle synchronization rely on gross trade data. This paper would be the first attempt to study the relationship using value-added trade data. Duval et al. (2014) also use value-added data, but their value-added data are not supported by a solid accounting framework which decomposes a country’s gross exports into various value-added components by source and additional double-counted terms. Value-added data in this paper computed based on Koopman et al. (2014) are the total domestic value exports that are ultimately consumed abroad via final and intermediate exports. The author believes that value-added data in this paper are most relevant in estimating the relationship between trade integration and business cycle synchronization.

The paper aims to examine the nature of competition within an industry by proposing and examining three separate sources of competitive heterogeneity: the strategies that industry members use, the performance that they obtain, and how effectively the strategies are utilized to obtain such performance results.

To do so, a restricted latent structure finite mixture model is devised that can quantify the contribution of these three potential sources of heterogeneity in the formulation of latent competitive groups within an industry. The paper illustrate this modeling framework with respect to COMPUSTAT strategy and performance data collected for public banks in the USA.

The paper shows how traditional conceptualizations via strategic or performance groups are inadequate to fully represent intra‐industry heterogeneity.

This research paper proposes a new class of restricted finite mixture‐based models, which fit a variety of alternative forms/models of heterogeneity. Information heuristics are developed to indicate “best model.”