Medium-sized High-tech Enterprises Research Articles

Research on enterprise financing credit based on soft and hard information under the background of blockchain

Under "accelerating the formation of a new development pattern of domestic circulation and domestic and internationaldouble circulation mutually promoting", high-tech enterprises, as an important role in promoting scientific and technological innovation and economic development, are facing the dilemma ofdifficult and expensive financing. This paper establishes acharacteristic evaluation and credit guarantee systembased on big data credit model to explore the difference ofsoft and hard informationon financing of high-tech enterprises in Anhui Province under the background of double circulation. Taking 131 high-tech enterprises in Anhui Province as samples, this paper analyzes the influence of unstructured soft information and structured hard information on credit evaluation and its intensity byhierarchical linear regression model. The results show that soft and hard information indexes have significant positive effects on credit risk of high-tech enterprises, and soft information has more obvious effects on small and medium-sized high-tech enterprises.

Analiz teoreticheskih aspektov formirovaniya mekhanizma vnedreniya innovacij v deyatel'nost' MSP

The article analyzes the theoretical aspects of the formation of the mechanism of innovation in small and medium-sized high-tech enterprises (SMEs). The analysis is carried out and precise definitions of the concepts: innovation, innovation activity, innovative development of SMEs are given. The task of domestic economic science is to find mechanisms for the implementation of modern innovation development management in the practice of SMEs in the Russian Federation, systematizing and developing its methodology.

Venture Risk of Small- and Medium-Sized Sci-Tech Enterprises Based on Markov Model

Small- and medium-sized enterprises are an important part of my country’s national economy. Among the small- and medium-sized enterprises, scientific and technological small- and medium-sized enterprises account for a considerable proportion and play an extremely important role. Compared with large enterprises, technology-based small- and medium-sized enterprises have small scale and weak financial strength. In R&D activities, they will encounter external environmental risks such as market change risks and government policy restrictions. At the same time, the internal technical strength and management ability of enterprises will also affect the development effect of enterprise R&D work. Therefore, this paper will study the risk of small- and medium-sized high-tech enterprises in the start-up period through Markov model and design and experiment the feasibility and accuracy of the risk prediction model. Markov model is a probabilistic model about time series, which is used in many fields such as speech and behavior recognition and fault diagnosis. The risk prediction in this paper can play a key role. In the experiment, the accuracy of environmental risk assessment and analysis reached 74.4%, which will greatly help enterprises make reasonable development strategies to deal with the pressure from different periods and places.

Research on the Mechanism of Innovation Driven Growth of Small and Medium Sized High Tech Enterprises

"Innovation driven" is the party's eighteen put forward in the new period development strategy, small and medium-sized high-tech enterprises is an important carrier of "innovation driven", how to use innovation to drive its growth has attracted much attention. The enterprises based on the perspective of ecology, starting from the characteristics of driving the growth of small and medium-sized high-tech enterprises innovation, analyzes the small and medium-sized high-tech enterprises innovation driven growth of four mechanisms (innovation needs a mechanism, supply mechanism of innovation and innovative cooperation mechanism and innovation mechanism of Catalysis), by issuing questionnaires and collected data to the 197 in small and medium-sized high-tech enterprises, and the use of structural equation model to carry out an empirical test.

Reflections on Tax Preferential Policies for R&D Innovation of Small and Medium-sized High-tech Enterprises

Under the background of accelerating the upgrading of national industrial structure and promoting the transformation of economic structure, a series of effective regulation and control measures must be adopted to support small and medium-sized high-tech enterprises. Tax preference is an effective measure for the state to intervene in the economy and carry out macro-control. At present, the tax preferential laws for small and medium-sized high-tech enterprises in China are complicated and scattered, and there are some problems such as unclear legislative authority and imperfect specific preferential methods. Through the analysis of the problems existing in China's small and medium-sized high-tech enterprises, this paper puts forward specific solutions. Small and medium-sized high-tech enterprises are the key industrial enterprises supported by the state, the important force to promote economic restructuring, and the effective way to improve the overall quality of the national economy. Strengthening the research on tax preferences for small and medium-sized high-tech enterprises and providing better tax support can play the role of macro-guidance and regulation of the state to the industry.

Applying grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries

Purpose– For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations in the measures of industrial characteristics and using traditional statistical techniques. The purpose of this paper is to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries using grey system theory. The research results show that grey system theory is suitable to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.Design/methodology/approach– This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises. First, based on the data on Chinese large and medium-sized high-tech enterprises for the period of 2011-2013, this paper applies grey relational analysis to identify the relatively most important indexes on affecting innovation capabilities of Chinese high-tech enterprises. Second, based on the results from grey relational analysis, this study draws a ranking of the five Chinese high-tech industries in terms of innovation capabilities by grey decision making. Finally, based on the results from grey decision making, this study applies GM (0,N) model to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.Findings– The results of this study show that in the evaluation indexes system of innovation capabilities of high-tech enterprises, personnel in R & D institutions, R & D personnel, internal expenditure on R & D, expenditure on new product development, expenditure on technology imports, expenditure on technology renovation, and expenditure on technology assimilation and absorption are relatively most important elements affecting innovation capabilities of Chinese high-tech enterprises. In addition, the two top ranking on innovation capabilities are manufacture of electronic equipment and communication equipment, and manufacture of medicines. At last, the findings indicate that in the measures of industrial characteristics, the three top ranking on affecting innovation capabilities of Chinese high-tech enterprises are R & D intensity, technology absorption intensity of indigenous high-tech enterprises and foreign-invested enterprises size. The opening level is in the middle position. Technology intensity, market concentration, and state-owned enterprises size are the three bottom ranking on affecting innovation capabilities of Chinese high-tech enterprises.Research limitations/implications– This study has some limitations. First, this study is limited to Chinese high-tech industries. The findings may not be applicable to other countries’ high-tech industries. Further studies with other countries’ high-tech industries could be extended and examined how industrial characteristics affect innovation capabilities of the firms in these industries. Second, the measures of industrial characteristics proposed in this study are somewhat theoretically weak. In the future, the authors will further improve the current analysis, and develop the measures of industrial characteristics. Finally, with the advent of the more data with the consistent statistical coverage released by China’s National Bureau of Statistics during the more continuous years, other methods, such as panel data regression model in econometrics could be used to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. By then, the scholars can compare the results from grey system theory and those from panel data regression model in econometrics.Practical implications– Appropriate industrial environment is favorable for Chinese high-tech enterprises to feed their innovation capabilities. Scientific evaluation on the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries is of great significance for Chinese high-tech enterprises in exerting technological catch-up and promoting their competitive advantage. The purposed measures of industrial characteristics and innovation capabilities of high-tech enterprises in this paper, and combined methodology based on grey system theory could be applied to evaluate the relationship between industrial characteristics and innovation capabilities of Chinese high-tech enterprises.Originality/value– This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises, and uses grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.

The Empirical Analysis of Technological Innovation Efficiency of Small and Medium-Sized High-Tech Enterprises in Xi'an High-Tech Zone Based on DEA

The study did an empirical analysis of technological innovation efficiency through a case study of high-tech SMEs of Xi'an High-tech Zone of 1999-2004 by DEA. Empirical analysis shows that it is generally good to technological innovation efficiency of high-tech SMEs of Xi'an High-tech Zone in the case of variable returns to scale. Under the same circumstances scale efficiency, the technology innovation efficiency of aerospace manufacturing is lower, which explained that aerospace industry is mainly affected by scale efficiency. However, Computer and office equipment industry’s pure technical efficiency and scale efficiency are slightly related to other industries. Finally, for empirical analysis of high-tech SMEs of Xi'an Hi-tech Zone provid some suggestions.

Greater Boston׳s industrial ecosystem: A manufactory of sectors

This paper examines the sources of the emergence in greater Boston of a large population of technology differentiating enterprises and the systemic processes by which new opportunities for innovation are both created and enacted in the form of emerging, co-adapting, and growing high tech sectors. I argue that Greater Boston׳s population of small- and medium-sized high-tech enterprises offers a systemic form of opportunity creation and enacting processes for industrial innovation. But they do not do so alone. The population of enterprises is embedded in a regional industrial ecosystem that facilitates ongoing reshuffling of the region׳s expertise, technology capabilities and financial resources for not only a single company but for a cluster of companies to grow fast. The concept of a regional industrial ecosystem suggests a locality analogous to Darwin׳s ‘small area׳ in which a ‘manufactory of species׳ is active but applied to the emergence, coadaptation, and growth of diverse sectors.

Государственная финансовая поддержка инноваций за рубежом

In today's world innovation plays a key role in securing a country’s economic and technological leadership. It encourages governments to increase investment in innovative areas and look for ways to improve the efficiency of science and innovation funding in order to increase the economic benefits of R&D budget allocation. Despite vast differences of measures used by countries to promote innovative activity, it is possible to identify some common approaches to restructuring the budget support mechanisms for science and business innovation, which have been applied in recent years by a growing number of states. One of the most important trends, which has achieved global scale, is to expand the practice of project finance for fundamental and applied research while reducing the share of the traditional budgeted funding of research institutions and universities. In many countries, the transition to the project-oriented support of R&D stimulated institutional restructuring of the public science funding system, with a marked increase of the importance of authorized government agencies (foundations, research councils, etc.) involved in the assessment, selection and allocation of grants for scientific projects and programs. In a number of states, increased role of tax incentive tools for corporate R&D, larger financing of small and medium-sized high-tech enterprises and broader public procurement of domestic innovative products are among the main reform areas of state support to corporate innovation. According to the authors, despite the growing popularity of these approaches on a global scale, it would be wrong to speak of them as cure-all solutions suitable for all countries to enhance efficiency of state innovation. First of all, the experience accumulated by countries implement appropriate varies seriously and is not positive everywhere. Besides, the ongoing profound differences in the organization of innovative systems in certain countries make it difficult to use even those foreign developments in management science that have proven their productivity, requiring serious adaptation and adjustment to the specifics of national economies, and scientific and technological environment.

Analysis of managerial innovation flow on the small and medium it sized enterprises

The purpose of this paper is to develop a diagram flow of strategic decisions on small and medium-sized high-tech enterprises and explains how it can be used to transform a innovate idea into a competitive output in the market. These enterprises are characterized, by their ability to create value, employ highly skilled workers, and use high technology in their internal processes. These firms face some problems like weak strategies of IT management and limited human and financial resources. The approach suggested in this paper offers small and medium-sized firms an opportunity to innovate or create newer outputs and increase the competitive effectively with others companies. Additionally, this paper can be used as a guide to building innovation as strategic competitiveness on the small and medium IT sized enterprises, denoted SMET at this paper.

The Business of Survival: Small and Medium-Sized High-Tech Enterprises in Japan

This article reports the results of surveys of forty-three small and medium-sized firms in three industrial areas: Tokyo’s Ota ward, the southern technology corridor of Kyoto, and Higashi Osaka. They reveal that the main institutions of Japan’s industrial policy inhibit innovation in small firms. But those firms that have avoided becoming enmeshed in the traditional keiretsu structure have flourished.