International competition and globalization challenging the Brazilian automotive industry

Includes bibliography

Industrial location and sectoral linkages: the case of the Brazilian automotive industry

The aim of this article is to analyse the spatial distribution of the automotive industry in Brazil in terms of its various economic categories between 1995 and 2011, and to shed light on its sectoral linkages through inter-regional input-output matrices. By calculating the coefficient of localization (QLij) for that period, it was found that the third wave of investments, which began in the second half of the 1990s, actually caused a slight spatial deconcentration of this sector in the national economy. The coefficient of geographic association (CAik)calculated for different years revealed a slight reduction, while maintaining a high level of concentration, which suggests that vehicle production is closely integrated with other economic activities. This integration was corroborated particularly in terms of input purchases (backward linkages) in all of the analysed regions.

The Brazilian biofuels industry

Ethanol is a biofuel that is used as a replacement for approximately 3% of the fossil-based gasoline consumed in the world today. Most of this biofuel is produced from sugarcane in Brazil and corn in the United States. We present here the rationale for the ethanol program in Brazil, its present 'status' and its perspectives. The environmental benefits of the program, particularly the contribution of ethanol to reducing the emission of greenhouse gases, are discussed, as well as the limitations to its expansion.

Collaborative enterprise governance : sustainable management of inter-firm R&D relationships in the German car industry

This research reports on the appropriate governance, i.e. design and management, of inter-firm R&D relationships in order to achieve sustainable competitive success for the whole partnership as well as its individual members. An exploratory study in the German automotive industry using inductive Grounded Theory was conducted. This involved data collection via 28 semi-structured interviews with 16 companies in order to form a set of 35 tentative propositions that have been validated via a questionnaire survey receiving 110 responses from 52 companies. The research has resulted in the consolidation of the validated propositions into a novel concept termed Collaborative Enterprise Governance. The core of the concept is a competence based contingency framework that helps decision makers in selecting the most appropriate governance strategy (i.e. sourcing strategy) for an inter-firm R&D relationship between a buyer and its supplier. Thereby, the concept does not draw on whole company-to-company connectivity. It rather conceptualises an inter-firm relationship to be composed of autonomous cross-functional units of the individual partner companies that contribute value to a particular joint R&D project via the possession of task specific competencies. The novel concept and its elements have been evaluated in a focus group with industrial experts of the German automotive industry and revealed positive effects on the sustainable competitive success of the whole partnership and the individual partner companies. However, it also showed that current practice does not apply the right mechanisms for its implementation and hence guidelines for practitioners and decision makers involved in inter-firm R&D collaboration in the automotive industry are offered on how to facilitate the implementation and usage of the Collaborative Enterprise Governance philosophy.

The relationship between the level of domestic demand in Britain an dthe exports of the British motor car industry

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A long-term energy efficiency prediction model for the Brazilian automotive industry

According to law number 12.715/2012, Brazilian government instituted guidelines for a program named Inovar-Auto. In this context, energy efficiency is a survival requirement for Brazilian automotive industry from September 2016. As proposed by law, energy efficiency is not going to be calculated by models only. It is going to be calculated by the whole universe of new vehicles registered. In this scenario, the composition of vehicles sold in market will be a key factor on profits of each automaker. Energy efficiency and its consequences should be taken into consideration in all of its aspects. In this scenario, emerges the following question: which is the efficiency curve of one automaker for long term, allowing them to adequate to rules, keep balancing on investment in technologies, increasing energy efficiency without affecting competitiveness of product lineup? Among several variables to be considered, one can highlight the analysis of manufacturing costs, customer value perception and market share, which characterizes this problem as a multi-criteria decision-making. To tackle the energy efficiency problem required by legislation, this paper proposes a framework of multi-criteria decision-making. The proposed framework combines Delphi group and Analytic Hierarchy Process to identify suitable alternatives for automakers to incorporate in main Brazilian vehicle segments. A forecast model based on artificial neural networks was used to estimate vehicle sales demand to validate expected results. This approach is demonstrated with a real case study using public vehicles sales data of Brazilian automakers and public energy efficiency data.