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The purpose of this paper is to analyze the historical development and characteristics of the globalizing Chinese automobile industry.

This study is positioned as an exploratory case study, using data triangulation techniques based on archival research and published reports of statistical agencies both at central government and single industry level.

China's automobile industry represents an extraordinary case of a development path toward globalization in a transitional economy. One of the obvious characteristics of the auto industry is that it necessitates technology transfer and innovative learning, which can be regarded as an important aspect of maintaining competitiveness in industrialization and global competition. The automobile industry in China is also characterized by state intervention and industrial regulations. The state initiated open-door reform has led to a mixed regulatory mechanism including both market-based competition and the legacy of a command economy. Other major features are demonstrated as follows: state-owned auto enterprises have been gradually given more freedom in the decision-making processes; the Chinese auto industry has shown phenomenal growth in the country's economic development with an average annual rate of about 9 percent. This achievement combined with the increasing impacts of globalization of production and market expansion has undoubtedly led to the increasing inflows of foreign direct investment in the form of international partnerships between the auto-producing MNCs and major local Chinese firms as per the industrial policies in the Chinese automobile industry.

This paper addresses an important topic, the historical development path of the Chinese automobile industry, but to date, it has received very little research attention. It advances the institution-based perspective and therefore develops a better understanding of changes in China's automobile industry over the past decades since 1949 and concludes that the combination of the influences of foreign technology, China's industrial policies and institutional dynamic processes has resulted in a unique dynamic development path for the globalizing Chinese automobile industry.

This paper aims to quest the strategies and paths of Chinese automobile firms for being world class. It analyzes their strengths and potentials in comparison with the development experience of the global examples and provides policy recommendations for cultivating world-class automobile firms.

The authors apply the analytic hierarchy process method to evaluate the competitiveness of automobile firms with multiple indicators.

The evaluation results suggest that Chinese automobile firms still lagged behind their world-class peers. Especially, Chinese domestic firms developed unevenly so that they could not make progress in the core parametric dimensions. Nevertheless, Chinese firms could achieve world class, at least in some niche segments, supported by its accumulated technological capacity and tremendous market size.

This research is the first scholarly work to evaluate the competitiveness of Chinese automobile firms and provides insightful comments on its industrial policies in the automobile industry. This may be valuable for policymaking in the automobile sector of China and other developing economies.

The purpose of this paper is to exhibit the influencing factors on and the process of internationalization with regard to Chinese automobile companies.

The author adopts an explorative approach to investigate the 12 major Chinese automobile manufacturers in terms of sales for the year 2010. Concentrating on the automobile industry in China, the author provides context and comparability.

The findings show that the internationalization of Chinese automobile companies cannot be explained by one theoretical model only and challenge previous internationalization research. Nevertheless, in retrospect, some patterns can be seen. Until the year 2000, technology was absorbed through domestic joint ventures with Western manufacturers. Up to 2010, internationalization involving exports may be viewed as having been a “test” phase, becoming a strategic goal defined by the Chinese government. Different internationalization attributes are aggregated into a comprehensive ranking of the case‐study companies. The ranking is analyzed with regard to managerial and company influences, as well as to incentivizing factors that potentially generate internationalization. As an incentivizing factor, the governmental environment plays a crucial role, having designated the automobile industry as one of China's pillar industries.

The paper gives new insights into internationalization processes on an industry level. In particular the Chinese strategic approach to internationalization is exhibited and discussed for the automobile industry.

International business

Undergraduate/graduate/executive education.

China has become the world's largest producer of automobiles, surpassing the USA and Japan. The Chinese auto industry differs quite significantly from those countries though. While the industry exhibits a substantial degree of concentration in the USA and Japan in early 2011, it remained highly fragmented in China. The Chinese Central Government had announced a desire for consolidation, yet it remained unclear whether a significant shakeout would occur in the near term.

Like many Chinese automakers, Chang'an partnered with well-known global auto makers to develop, produce, and distribute its products. In the coming years, Chang'an hoped to develop more independence from its foreign partners, including the production and distribution of self-branded cars. However, the company grappled with how it could strive for independence while managing its existing joint ventures. Executives worried too about how to compete with foreign automakers who had achieved global economies of scale.

The case provides a rich description of the evolution of the Chinese auto industry, and it documents how the Chinese industry differs from other global markets. Readers can analyze the extent to which they believe scale economies provide foreign firms an advantage over smaller Chinese rivals, and they can evaluate the conventional wisdom regarding the industry's minimum efficient scale. The case also provides a detailed account of Chang'an's rise to prominence. The case concludes by offering an in-depth description of the firm's key rivals, and it presents the key questions being considered by Chang'an executives in 2011.

Enables students to examine how and why an industry's structure can differ substantially across geographic markets.

Enables students to examine whether the need to achieve economies of scale may cause substantial consolidation in the Chinese auto industry.

Provides an opportunity to evaluate the pros and cons of the joint venture strategies employed in China.

Provides an opportunity to examine how a relatively small firm can position itself against large multinationals in a high-growth emerging market.

Teaching notes.

China is currently developing and promoting an industrial cluster policy at the government level. By enacting the ‘Opinion on promoting industrial cluster development’, China is supporting the development of industrial clusters. Building an industrial cluster is done by using a single factor but requires many additional factors like regional characteristics, competitiveness factors are also diversified. To evaluate the competitiveness of the Chinese automobile industry cluster, a competitiveness element index should be developed and a competitiveness evaluation method is needed to evaluate the importance of each element. To accomplish this objective, this research applied the analytic hierarchy process (AHP) and focused on the importance of the competitiveness elements.

This research investigated the character is tics regarding cases of clusters and also analyzed the competitiveness of the Changchun automobile cluster located in northeastern China. The purpose of this research is to help Korean enterprises who enter China in the hopes that Korea will emerge as a top automobile production country.

The purpose of this paper is to investigate recent labor unrest in China's automobile industry and the implications for the debate on the future of the country's labor relations and cost competitiveness.

Using data between 1999 and 2007, the authors examine how differences in work organizations in China, Germany, Japan and the USA affect wages in the automobile industry.

It is found that market forces play a more prominent role in Germany and the USA than in China and Japan and the difference is attributed to cultural, economic, political, and regulatory factors in each country.

This paper is one of the first that uses systematic data to conduct comparative analysis of labor relations in the automobile industry.

The purpose of this study is that on the basis of the competitive edge theory, source mechanism and evaluation approaches of industrial cluster competitiveness, combined with international trends in the automobile industry and the features of Chinese automobile industrial cluster development, an evaluation index system about cluster competitiveness of auto industry is built with comprehensive consideration of factors such as cluster development environment, external scale effect and internal competitiveness from the perspective of value chain of automobile industry.

An evaluation index system for automobile industrial cluster competitiveness was realized by integrating current strengths and future growth capacities with multidimensional, dynamic and comprehensive characteristics, which included 3 second-level, 10 third-level and 16 fourth-level indices. In the light of evaluation methods, a group intelligence optimization algorithm – (cuckoo search) – and traditional methods of complex decision-making system – analytic hierarchy process (AHP) – were combined to propose the cuckoo-AHP evaluation method. It was applied for the calculation and optimization of weight values in an automobile industrial cluster competitiveness evaluation index for the purpose of obtaining better scientific and more reliable results.

The research might further enrich the evaluation theory of automobile industrial cluster competitiveness and also can be useful for showing how traditional evaluation methods can be combined with intelligent algorithms to carry out better automobile industrial cluster competitiveness evaluations. In addition, studies of channels for kick-starting Chinese auto industrial cluster competitiveness are expected to provide references for how to enhance the cluster competitiveness of the Chinese automobile industry.

Changsha and Liuzhou, the Guangxi automobile industrial clusters as the two empirical analysis objects selected for this paper, are geographically adjacent to each other. The automobile industries of the two cities are local pillar industries with the strong support of the local government. Both clusters have their own advantages and weak points with different characteristics of cluster development, and they enjoy a representative significance amongst China’s numerous auto industrial clusters that are taking shape. Comparative analysis of both clusters serves as a good reference for the objective evaluation of the competitiveness of Chinese automobile clusters in terms of their real and practical developments and in respect of the success of reasonable scientific and industrial cluster policies.

Multidimensional, dynamic, integrated evaluation index systems are constructed around automobile industrial cluster competitiveness, which has taken into account developments in current strengths and future growth capacity. The cuckoo-AHP evaluation method has been formed by combining the traditional decision-making method known as AHP with a new meta-heuristic optimization algorithm called “cuckoo search”. Both have been used in evaluations of automobile industrial cluster competitiveness in Liuzhou and Changsha, which will be beneficial for enriching automobile industrial cluster competitiveness evaluation theory and new evaluation methods that will enable better evaluations of automobile industrial cluster competitiveness.

In recent decades many emerging markets (EMFs) have undertaken entrepreneurial transformations to adapt to institutional transition and industrial change. Corporate entrepreneurship (CE) provided EMFs viable ways to revitalize, reconfigure, and transform successfully with the dynamic environment. Although previous research examined government roles on EMFs' CE activities, little is known about the mechanisms of how government exerts influence on CE activities. To fully understand CE of EMFs, we propose a stage model to explore specific roles governments play that affect CE activities over time. In particular, we investigate how governments' grabbing hand, helping hand, and invisible hand roles affected Chinese auto firms' CE activities at different stages from 1980 to 2016. Government involvement is summarized and the advantages and disadvantages of these roles are analyzed.

This paper aims to make a systematic study on the factors that hinder the development of China’s intelligent automobile manufacturing industry; based on comprehensive understanding of these obstacles and by optimization means, ultimately, the healthy and sustainable development of intelligent automobile manufacturing industry in China can be promoted.

Based on a questionnaire survey of intelligent automobile manufacturing listed companies in China, first, fuzzy semantic scale was adopted to collect respondents’ choices, the fuzzy score function is used to calculate the fuzzy score value and these data are used as the basis for subsequent model analysis. Then, structural equation modeling (SEM) was adopted to analyze the causal relationship between influencing factors to explore the main hinder factors.

It is found that, in the short term, the backwardness of technological industrialization is the main reason leading to low permeability of intelligent automobile; in the medium term, the imperfect industrial R&D ability and the insufficiency of infrastructure are major causes for high manufacturing cost and low competitiveness of intelligent automobile manufacturing industry; in the long term, the lack of national policy and industrial strategic planning is the main factors affect intelligent automobile manufacturing cost and the industry competitiveness.

The research conclusion has important policy implications for promoting intelligent automobile manufacturing sustainable development. In recent years, China’s intelligent automobile manufacturing industry has gradually stepped out of breeding period; therefore, the role of government should be gradually transformed from participants to managers and regulators. Considering the fact that intelligent automobile cost is very high, and still higher than the cost of fuel vehicle, government should focus on the issues such as improving R&D capabilities, infrastructure construction, policy framework system, legal system and technological industrialization. Specifically, in short-term planning, improving technological industrialization level is the key to development; in medium-term planning, policymakers should focus on the improvement of R&D capabilities and infrastructure; considering the long-term development, establishing appropriate national policies and dealing with the adverse impact of imperfect strategic planning are the most sensible choice.

This paper analyzes the factors that hinder the development of China’s intelligent automobile manufacturing industry for the first time, and provides the basic logic of integration factors at different levels with the development of intelligent automobile to reveal the uniqueness and facts of China’s economic development.

China has become the world’s largest vehicle market, because of the strong governmental support to boost car sales and particularly because of the establishment of joint ventures between state-owned enterprises and world-class automakers. However, because many Sino-foreign joint ventures have performed unsatisfactorily in terms of creating indigenous brands, the purpose of this paper is to explore the cause-and-effect relationships among governmental policy support, Sino-foreign joint ventures and own-brand innovation in China’s passenger-car industry.

After briefly introducing the development history of the Chinese auto industry and reviewing relevant literature, first, the analytic hierarchy process method is used to create a unique, context-specific equation to measure the degree of policy support in China. This paper then uses the hierarchical multiple regression method to process the 2014 public data set.

The findings show that the degree of policy support increases the preference of the firms for producing foreign-brand cars, while such a relationship is fully mediated by the establishment of Sino-foreign joint ventures.

The research brings greater and deeper insights into the interplay among governmental policy, the conduct of own-brand strategy and international joint ventures in China’s auto market, showing that policy support may not always be beneficial, but sometimes be detrimental to indigenous innovation.

This paper can be seen as an exciting step that adds to a better understanding of the role of political support in shaping the strategic choices of firms in terms of brand innovation in the Chinese automobile industry. The proposed novel, context-specific approach for evaluating the degree of policy support embodies the distinctive institutional complexity and intricate social network embedded in the local car market during the period of China’s socio-economic transformation – an approach that is original in this field.