Patterns of external insertion in global value chains: a comparative analysis between Brazil and China

ABSTRACT The international trade literature has shown the benefits of the international fragmentation of production for developing countries. However, there are considerations about the hierarchy and control in Global Value Chains (GVCs). Thus, this research aims to evaluate the Brazilian and Chinese international insertion in GVCs by proposing an index about technological sophistication in exports (qtech) by technological intensity for 2005-2015. The results pointed out that the integration in GVCs and technological sophistication have been directed towards technological clusters in which Brazil has revealed comparative advantages, while China has been moving towards technological clusters with dynamic comparative advantages.

The dynamics of industrial geographic distribution: evidence from Brazil (2002-2014)

ABSTRACT The geographical distribution of Brazilian industries changed between 2002 and 2014, and it was more significant for some industries. Based on Dumais et al. (2002), we explore the dynamics of these changes by a decomposition of the employment variation and concentration index for manufacturing industries grouped by technological intensity, and we identify the direction of the locational movements of the firms among microregions. In general., the results indicate that between 2002 and 2014, there was a trend of convergence among the microregions’ participation in industrial employment, contributing to industrial deconcentration in the country, with the exception of the group of high-technology industries, which became more concentrated. Components of the life cycle of industries, especially the growth of employment generated by new industries in non-metropolitan microregions, are identified as main propelling of this evidence. In general., the results are consistent with the importance of agglomeration economies over historic accidents to explain the industrial concentration in Brazil between 2002 and 2014.

Intellectual Capital, Technological Intensity and Firm Performance: The Case of Emerging Countries

While neglecting the importance of technological intensity, most of the prior studies documented the positive contribution of intellectual capital (IC) to corporate financial performance. This study aims at analyzing the relation between IC and corporate financial performance addressing the technological intensity in different sectors from 17 emerging countries. The impact of IC, which is measured by Value Added Intellectual Coefficient (VAIC) and its components; Capital Employed Efficiency (CEE), Human Capital Efficiency (HCE), and Structural Capital Efficiency (SCE), on corporate financial performance will be evaluated using panel data analysis for the period between 2009-2019. Accordingly, IC and its components are found to be significant drivers of financial performance being higher for sectors that are more technology intensive. Moreover, human and physical capital are the main components, which boost finance performance for all groups irrespective of technological intensity in the emerging market context.

Radical innovation, incremental innovation, and competitive advantage, the moderating role of technological intensity: evidence from the manufacturing sector in Jordan

Purpose The purpose of this paper is to identify the effect of radical innovation and incremental innovation on the competitive advantage of Jordanian industrial companies and identify the moderating role of technological intensity. Design/methodology/approach For this study’s purposes, 303 questionnaires from employees of 30 manufacturing firms were analysed. Convergent validity and discriminant validity tests were performed through structural equation modelling in the Smart-PLS programme. Data reliability was confirmed. A bootstrapping technique was used to analyse the data. Multi-group analysis was performed to investigate the moderating role of technological intensity. Findings Empirical results showed that both radical innovation and incremental innovation explain 60.2% of the variance in competitive advantage and that both constructs have a statistically significant effect on competitive advantage. The results also revealed that the relationship between radical innovation and competitive advantage is modified through the high-tech industries. Meanwhile, the relationship between incremental innovation and competitive advantage is modified through the low-tech industries. Research limitations/implications This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalization of its results and the results are limited to one country, Jordan. Practical implications This study promotes the idea of focusing on radical and incremental innovation to enhance competitive advantage in the Jordanian manufacturing sector and knowing the effect of technological intensity in this relationship. Originality/value This study has important implications for leaders in the Jordanian manufacturing sector in general, as the study highlights the importance of radical innovation and incremental innovation to enhance the competitive advantage, especially in light of the technological intensity in this sector, and thus, increase the innovative capabilities of this firms, which leads to an increase in the level of competitive advantage.

Learning processes and knowledge transfer in the upward spiral model: an empirical assessment of springboard multinational enterprises

Purpose The springboard theory for multinational enterprises and the upward spiral model address the expansion of emerging countries’ multinational enterprises (MNEs) abroad as a set of resource-building stages. This paper aims to analyze this model by qualifying knowledge flows in three domains: learning effects, transfer flows and global connections. Design/methodology/approach The authors use 2018 data from the ORBIS database to identify evidence concerning the springboard MNE (SMNE) phenomenon. The authors select MNE firms from 93 emerging economies with presence in 71 developed and 93 developing countries. In addition, the authors differentiate between the levels of technological intensity of emerging market MNEs’ sectors. Findings The results highlight the existence of learning processes taking place in subsidiaries and feeding back into parent firms, as well as the existence of capability transfer from home to host units. Originality/value The main contribution is the addition of empirical evidence on the SMNE and specifically the upward spiral model, considering the micro-level and the productivity differences between parent firm and subsidiaries.

Performance Dissimilarities in European Union Manufacturing: The Effect of Ownership and Technological Intensity

Our paper addresses the relevance of a set of continuous and categorical variables that describe industry characteristics to differences in performance between foreign versus locally owned companies in industries with dissimilar levels of technological intensity. Including data on manufacturing sector performance from 20 European Union member countries and covering the 2009–2016 period, we used the random forests methodology to identify the best predictors of EU manufacturing industries’ a priori classification based on two main attributes: ownership (foreign versus local) and technological intensity. We found that EU foreign-owned businesses dominate locally owned ones in terms of size, which gives them an edge in obtaining higher profits, cash flow and investments and coping with higher personnel costs. Furthermore, ownership is a more important differentiator of performance at the industry level than the industry’s technological level. The performance of foreign-owned high-tech manufacturing industry units across the EU is the most heterogeneous compared to the other four categories, indicating particularities linked to technological level, ownership, and even location. Our findings suggest that multinational enterprises in high-tech industries transfer to eastern EU countries’ activities and processes with lower technological intensity and higher labour intensity, but also that locally owned businesses, even within high-tech industries, have lower technological levels.

The impact of smart specialization strategies on sub-cluster efficiency: simulation exercise for the case of Mexico

Purpose This paper aims to evaluate whether the integration of smart specialization strategies (S3) into clusters significantly impacts their efficiency for countries that still do not implement this policy. This study tests three effects: whether the kind of policies envisaged through an S3 strategy impacts cluster’s efficiency; whether this impact changes with the technological intensity of the clusters; to determine which S3 is more suitable for sub-clusters at different levels of technological intensity. Design/methodology/approach The Mexican economy is taken as case of study because it has a proper classification of its industries intro Porter’s cluster’s definition but still does not adopt the S3 policy. Through data envelopment analysis (DEA), this study evaluates the cluster’s efficiency increment when variables representing the S3 elements are included. Findings The results show that strategies following the S3 had a significant impact in all clusters, but when clusters were classified by technological intensity, the impact on efficiency is higher in clusters in the medium low-tech group. Practical implications According to the results in the DEA, it can be concluded that these S3 strategies have the potential to increase the clusters’ productivity significantly. These results make convenient the adoption of the S3 policy by countries that already count with a properly cluster definition. Originality/value These findings contribute to the lack of studies that analyze the join implementation of S3 on clusters.

TFP determinants in the manufacturing sector: the case of Ecuadorian firms

Purpose Using a large firm-level data set, this paper examines total factor productivity (TFP) and its determinants in the Ecuadorian manufacturing sector in the period 2007–2018. Design/methodology/approach I analyze the role played by traditional TPF determinants, including internal firm characteristics, international trade activities, financial constraints and competition intensity. I contribute to the literature by presenting quantile regression results. Moreover, I analyze industry patterns, distinguishing between industries according to their technological intensity (following the organisation for economic co-operation and development classification). Findings My results confirm that firm age is positively related to TFP level but negatively related to TFP growth. I also find that being an exporter and an importer at the same time is associated with higher TFP levels and that this effect is higher than when being only an exporter or an importer. Additionally, l find that credit is positively related to TFP levels. Finally, I find that more competition is positively related to productivity in lower quantiles of output. Practical implications The results are the source of tools to propose policy recommendations, which are stated in the present document. Originality/value This paper aims to reopen the debate of firm productivity determinants in a developing country such as Ecuador. The authors use a set of covariates less analyzed in this issue.