Search results

The purpose of this paper is to explore the main features of the Vietnamese economic transition and industrial development pattern analyzing the evolution of the industrial policy formulation in the light of the changes in the country’s productive specialization and competitive position in the international division of labor. The authors also aim at stressing the role exerted by different external paradigm of influence on the Vietnamese policy making and the function of selectivity as an instrument to upgrade the competitiveness of the Vietnamese production system.

The paper provides a descriptive analysis of the Vietnamese recent economic trends and structural transformation dynamics. It realizes a literature review concerning the academic debate on the role and the effects of industrial policy in Vietnam identifying a categorization between different theoretical perspectives. In addition, it implements an in-depth analysis of the main industrial planning strategies promoted by the government investigating the evolution of the lines of the country’s economic policy agenda. On the basis of the previous analyses, the paper draws out some conclusions about the application of selective criteria in Vietnamese industrial policy interventions.

An in-depth examination of the planning prescriptions suggests that the Vietnamese government has undertaken a pronounced paradigm change in the course of last 15 years. The Vietnamese planning approach displays a shift toward a systematic and extended vision concerning the role of industrial policy, which result to be in clear discontinuity with respect to the market-friendly approach supported by Washington institutions. Nevertheless, this configuration outlines several limits characterizing the Vietnamese planning activity, connected to the lack of transparency and efficiency of the governance mechanisms that risk to undermine the effectiveness of the upgrading policies.

The paper focuses on Vietnam, an emerging economy in transition whose development trajectory has been characterized by peculiar economic and policy dynamics. The hybrid character of the government policy-making approach makes it difficult to identify univocal interpretations concerning the country’s industrial development dynamics and the resulting policy implications. In this perspective, the analysis has shed light on the mechanisms conditioning the formulation of industrial policy in Vietnam, focusing on the external influences exerted on its definition and on the domestic interactions associated to its implementation.

The purpose of this paper is to analyse the development and evolution of industrial innovation ecosystems of Around-Tongji Knowledge Economy Circle from the three levels mentioned above, focusing on knowledge-producing populations, core populations and service-supporting populations, and to further develop this research framework by combining with the latest developments.

Based on the five-helix theory and economic census statistical data, this paper adopts geographic information system technology and examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji knowledge economy circle.

The knowledge product populations lead the development of industries in Around-Tongji Knowledge Economy Circle. It contributes political capital output for the government. It innovates community cooperation and governance mode, and it improves the natural ecological environment. In the face of the changes and challenges in the development environment, the future development must be recognised from the height of the iterative development of the interaction mode between university knowledge production and economic and social development.

Based on the five-helix theory and economic census statistical data, this paper examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji Knowledge Economy Circle. It further expands the research framework used to develop a synergistic evolution model, which reveals the interactive and synergistic relationship among the populations and the evolution characteristics of the entire industrial innovation ecosystem. This paper also provides useful perspectives for the study of the industrial innovation ecosystem.

This chapter focuses on the analysis of sectoral structure of the economy of the Republic of Belarus as well as on its structure by forms of ownership. The role of industry in national economy is highlighted. Dynamics and problems of its development are analyzed. It is shown that the share of services in GDP increases, while the share of manufacturing declines. Absolute size and share of the manufacturing employment trends down. The ongoing process of ownership structure transformation and the growing share of private and foreign ownership are featured. State-owned enterprises along with private enterprises with a state share comprise two-thirds of total industrial output, but this share is gradually shrinking. The industrial policy is viewed as an enabling factor of the country's economic development. Considerable attention is paid to the analysis of industrial policy of the Republic of Belarus, its goals and instruments as well as regulations. It is noted that the role of government in regulating the industrial structure of the economy is significant.

The purpose of this paper is to analyze the determinants of the performance of regional industrial technology development programs among the regional strategic industrial development program that the central government and Daegu metropolitan city jointly promoted between 2004 and 2012. Specifically, in this research, the authors are trying to identify the effects of R&D capabilities and technical development tasks on technological and managerial performance.

The dependent variables of this study are technical and economic performance. Technical performance, product and process innovation, economic performance, sales and export increases were measured using five-point Likert scales. The authors added the contribution of sales through technology development to economic performance. The independent variable is the company’s R&D capability, measured by the number of R&D staff compared to the average total number of employees from 2004 to 2012. The characteristics of the technology development tasks were measured by technical characteristics, market characteristics and collaborative research types. The technological characteristics were measured by seven factors, including technological change, technical difficulty, potential in commercialization, competition between domestic and foreign competitors, difficulty in introducing overseas technology and the technological gap. Market characteristics were largely divided into complexity, dynamics and competitiveness. The types of collaborative research were divided into whether or not there were collaborative research with the participation of large corporations. The control variables are firm size (number of employees) and firm age. Regression analysis was used to analyze the determinants of performance, and a difference analysis was conducted to determine the effect of collaborative research on performance.

The main determinants of the regional industrial technology development program performance are the characteristics of the technology development task rather than the internal R&D capability; moreover, the technical characteristics, complexity of the developed product market and participation of large corporations had significant effects on R&D capability. The R&D capacity of firms in internal R&D capacity had a significant effect only on the improvement of technology development ability. Therefore, R&D capacity, which is the main determinant of technology innovation, did not have a significant effect on the performance of short-term technology development tasks. Technological change, technological difficulty, competition between domestic and foreign competitors and the technological gap had positive effects on performance, excluding sales contributions. In addition, the complexity of the developed product market such as the diversification of demand, competitive product and sales distribution channels had positive influences on the performance of technology development programs, unlike dynamics and competitiveness. In this study, the authors cannot confirm the effect of collaborative research on the performance of the technology development programs, but they confirmed that collaborative research involving large corporations had a positive influence on performance.

The results of the analysis of the determinants of regional industrial technology development programs suggest some implications in the future evaluation of these regional industrial technology development programs. It is necessary to review the application qualification and merit, advance review of the business plans and confirmation, an examination of the research results and performance of the applicants and a review of the technology and market situation of the project. For this, the authors suggest that the written review from the relevant technical experts be submitted to the evaluation committees. Also, when establishing regional industrial development programs, they should be evaluated thoroughly, including detailed information and contents about the technical and market characteristics of the local industry.

This research is one of the first to investigate the achievements of R&D support programs among regional industrial development programs in Korea. The results of this study can substantially contribute to the development and implementation of the R&D support policies of the central and local governments. Furthermore, the findings suggest guidelines for improving the performance of R&D support programs in the future. A theoretical model for enhancing the efficiency of government R&D support programs may be established, and an empirical analysis may be conducted to provide practical and academic implications for further research.

The purpose of this paper is to survey and analyse the literature emanating from less developed countries (LDCs) and international agencies and dealing with their perception of the needs of LDCs for scientific and technical information (STI) in relation to social and economic development.

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects.

Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored.

The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect.

Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators.

In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated.

The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated.

Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.

The integration of the digital economy and the real economy has been a key focus in promoting digital economic development. It denotes a comprehensive digital transformation of national economic activities regarding technological infrastructure and production modes, which is crucial for establishing a modern economic system, advancing industrial infrastructure and modernizing industrial chains.

Firstly, the study delves into the internal logic behind the emergence of the new development dynamic resulting from digital technology's evolution. Secondly, it explores the mechanism of mutual promotion and support between the new development dynamic and the digital economy based on China's shift in focus from international engagement to the domestic economy during different stages of industrialization. Subsequently, it analyzes the characteristics and critical factors of digital economy development and examines the macro-, meso- and micro-level constraints on these factors. Finally, the paper explores approaches to promoting digital economy development while constructing the new development dynamic and provides relevant policy suggestions.

The construction of the new development dynamic and the development of the digital economy are inextricably linked, and only by mutually reinforcing each other can they provide an inexhaustible impetus for China's high-quality economic development.

The new development dynamic and the digital economy development form an indivisible whole. The new development dynamic creates the necessary conditions for digital economy development and promotes the formation of digital production modes. In turn, the development of the digital economy should strive to improve the mainstay position of the domestic economy, enhance the synergy between the domestic economy and international engagement, upgrade value chains while improving the supply and the industrial chains in China and ensure a parallel increase in labor income alongside improved productivity.

This study aims to test the relationship between city industrial diversity and enterprises development in an urban region, in order to investigate the effect of diversified urban environment on the development of urban enterprises and its changing trends.

The research adopts a quantitative approach and the data are from a data bank of industrial censuses which contains data of all firms in Beijing for three years. All data concerning diversities were counted.

The main findings of this research are that industrial differences in entrepreneurship activities were mainly related to industrial diversities. Different from the relationship of development of regional enterprises based on the development of regional economy growth, the enterprises development of different industries lies in the intra‐ and inter‐industrial diversities.

Intra‐ and inter‐industrial diversities can contribute to entrepreneurship activities in a region. It is therefore argued that one of the effective ways to boost entrepreneurship is to advance the industrial diversities of a region.

The originality of this research is two‐fold. A modified conceptual framework is proposed to test the relationship between entrepreneurship and diversified industrial structure; it is the first empirical study concerning regional industrial diversities and enterprises in China.

This chapter explores how state–business relations (SBR) in the Arab world influence public policy on industrial clusters and the resulting economic benefits from these clusters on innovation and productivity. The main SBR actors are identified as the state, big capitalists (or tycoons), and small and medium business managers and owners (entrepreneurs). The framework used here focuses on interactors' power relations. Such power relations are reflected in the ability/inability of the state to enforce its will with less consultation with and/or favorite treatment to nonstate actors. It is also reflected in the ability/inability of nonstate actors to act individually or organize in order to defend their interests and influence government policy formulation and implementation. Such power relations are reflected in the ability of nonstate actors to organize – especially entrepreneurs – and the level of favoritism provided by state officials to tycoons. The power dynamics in SBR lead to different SBR modes and different economic outcomes, one of which is the development of industrial clusters and how efficient they are in fostering innovation and productivity in Arab countries. This chapter suggests that the development of industrial clusters in the Arab world necessitates institutional reform, addressing the power relations governing SBR in the region. A more open political system allowing the independence and growth of broad-based business associations and curbing favoritism is necessary for realizing the benefits from implementing recommended policies, leading to cluster development and reaping the economic benefits from such development. Using statistical and regression analysis, empirical evidence supporting these arguments is provided.

This study aims to illustrate the developmental and modernizational state management policies in the early Turkish Republic in the 1930s through the establishment of state-owned cotton textile factories in underdeveloped regions of the country. It analyzes the state’s industrial-cum-social engineering policies and their micro-level role in Turkish economic development.

To illustrate the government’s role in regional industrialization and modernization, this study uses an in-depth case analysis conducted in a sample of textile plants based on a microhistorical approach.

Turkey is considered among late developing countries. Following the War of Independence at the beginning of the 20th century, the new government focused on regional industrialization and social transformation through state-owned universal banks[1] acting as state agents of industrialization and modernization. Primary among them, Sümerbank constructed industrial plants in underdeveloped towns which subsequently became the nuclei of growing industrial centers of private enterprise. Sümerbank plants were also micro-level tools of westernization-based modernization of the society under the social engineering objectives of the new government.

This study uses a specific industrial policy measure (establishment of industrial plants) in explaining the state’s role in industrialization, regional development and social engineering. It sheds new light on the literature on state-led industrial-cum-modernization policies during earlier phases of economic development. It contributes to the international literature on the history of state management of economic and social development.