美国高科技产业融资模式及其启示

美国为代表的资本市场主导型模式是创新的、开放的、积极的的融资模式,促进了该国风险投资与高科技产业的良性互动。我国处于三期叠加的新常态期,美国高科技产业融资模式对我国经济发展的创新驱动具有借鉴意义。

国务院关于同意哈尔滨、大庆、齐齐哈尔高新技术产业开发区建设国家自主创新示范区的批复

一、同意哈尔滨、大庆、齐齐哈尔3个高新技产业开发区建设国家自主创新示范区,区域范围为国务院有关部门公布的开发区审核公告确定的四至范围。要以习近平新时代中国特色社会主义思想为指导,全面贯彻党的十九大和十九届历次全会精神,按照党中央、国务院决策部署,完整、准确、全面贯彻新发展理念,加快构建新发展格局。

Spatial Evolution and Locational Determinants of High-tech Industries in Beijing

Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.

Industrial Spatial Agglomeration Using Distance-based Approach in Beijing, China

To study the difference of industrial location among different industries, this article is to test the spatial agglomeration across industries and firm sizes at the city level. Our research bases on a unique plant-level data set of Beijing and employs a distance-based approach, which considers space as continuous. Unlike previous studies, we set two sets of references for service and manufacturing industries respectively to adapt to the investigation in the intra-urban area. Comparing among eight types of industries and different firm sizes, we find that： 1） producer service, high-tech industries and labor-intensive manufacturing industries are more likely to cluster, whereas personal service and capital-intensive industries tend to be randomly dispersed in Beijing; 2） the spillover of the co-location of finns is more important to knowledge-intensive industries and has more significant impact on their allocation than business-oriented services in the intra-urban area; 3） the spatial agglomeration of service industries are driven by larger establishments, whereas manufac- turing industries are mixed.

The Role of China's High-Tech Zones in Its Regional Economic Development

National high-tech industrial development zones represent a major strategy of the Chinese government in developing high-tech industries and spurring regional economic growth. The effect of this policy is yet to be proven. Based on the panel data of 283 Chinese cities between 1984 and 2012, this paper investigates the effect of high-tech zones on regional economic development. Empirical results suggest that first, national hightech zones have remarkably enhanced regional GDP and per capita GDP growth, and this conclusion still holds true after multiple rounds of robustness test; second, the economic effect of national high-tech zones is subject to diminishing marginal return and compared with higher-tier cities, lower-tier cities benefited more from the creation of national hightech zones. This paper concludes that national high-tech zones where special policies are experimented and offered not only drive economic development but, if properly distributed across regions, may help reduce regional economic disparities as well. The results of this study provide important implications for the future distribution of national high-tech zones and the creation of other relevant policies.

Re-measuring Status of China＇s High-Tech Industries in International Division of Labor： Applying a Non-Competitive Input-Output Model

Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the index of＂ weighted value-added productivity ＂ by compiling non-competitive input-output tables which distinguish high-tech industries from traditional industries. The new method effectively avoids ＂statistical illusion＂ which stems from a biased focus on gross exports under intra-product specialization. The empirical study shows that since 1995, the status of China＇s high-tech industries has grown quickly as a result of enhanced labor productivity, but still lags behind those of major developed countries. In addition, the study also suggests that the status of China＇s high-tech industries has been over-estimated using the traditional gross export statistical method.

Research on the statistics index system and evaluation method of high and new technology industry development

During the evolution of the global economic, high and new technology industry has become the main driver to impel the global economy growth via technological advancement, and the main means to guarantee the sustainable development of the global economy. In the view of China’s situation, this article analyzes the experiences of OECD in high and new technology industry and gives a statistics index system along with the evaluation method to estimate the development of high and new technology industry.

Innovative Development and Commercialization of Technologies： Experience of Technopark ＂Novosibirsk＂

This article is concerned with analyzes of experience of Technopark ＂Novosibirsk＂ as an important part of the innovation infrastructure of the Novosibirsk region. In this article the authors are formulated priorities for the development of an innovative economy： The promotion of investment growth in production infrastructure and innovation, increasing the orientation of research institutions to the needs of the real economy, the development of entrepreneurship in all sectors of the economy and the creation of necessary conditions. The article considers the key elements of innovation infrastructure. Also program ＂Development of high-tech industry and which Technopark ＂Novosibirsk＂ implements the this article is given a brief description of the complex target innovation in the industry to the city of Novosibirsk in 2020＂, in concept of technopark of distributed type, when the Technopark is built in the form of structural and autonomous innovation and technology centers established by the territorial-branch principle in conjunction with partner organizations. The analysis of the stories of success （and failure） of residents of Technopark is described in this article. Based on this analysis, which highlights the main factors contributing to the achievement of commercially meaningful results. These include training as an essential component of the innovation infrastructure. Describes the international educational programs implemented by the Innovative Technology Center ＂Education＂ at the Novosibirsk State University of Economics and Management. It is noted that the most important result of the operation of Technopark ＂Novosibirsk＂ was working out a model of public-private partnership that has allowed Technopark flourish, creating a network of specialized centers of innovation and technology. Finally the authors conclude that at the present time in Russia on almost all the basic elements of support for innovative entrepreneurship are created. At the same time a significant part of the difficulties cause problems originating from the external environment of business innovation

Modem Information Technology （IT）： Factor for Business Efficiency and Business Driver

In conditions of high-tech industries, Information Technology （IT） is expected to help solve complex problems by expediting corporate operations and provide more efficient business processes. IT is one of the main factors to improve business efficiency. The new technologies such as virtualisation, consolidation, cloud computing, and software-based solutions are great ways to minimise resource use while maximising the business value of information systems. Technologies and innovations are necessary to ride the inevitable tide of change. Most of enterprises are striving to reduce their computing costs through the means of virtualization. This demand of reducing the computing cost has led to the innovation of cloud computing. Cloud technology offers better computing through improved utilization and reduced administration and infrastructure costs. Cloud computing is the sum of Software as a Service （SaaS） and utility computing. Cloud computing represents a fundamental change in the way computing power is generated and distributed, transforming the delivery of IT tools and products into elastic, on demand services characterized by flexible ＂pay as you go＂ payment models. More than half of European Union （EU） businesses and consumers already use some kind of cloud services. The diffusion of cloud computing is expected to generate substantial direct and indirect impacts on economic and employment growth in the EU, thanks to the migration to a new IT paradigm enabling greater innovation and productivity. The cost of using digital technologies, such as information service providers, decreases as the number of users increases. All of these factors work together to promote a rapid growth in the demand for, and supply of, IT products and services.

Optimization and competition promotion of industrial structure in Blue Shandong Peninsula Economic Zone

Blue economic zone is a typical regional economic mode,which is specially characterized by marine economy and has multiple economic types coexisting and interacting through integrating marine and land resources.With the continuous progress of science and technology,marine economy as a strategy to promote economic development is approved in many countries.The Blue Shandong Peninsula Economic Zone(BSPEZ) reflects the local demands of economic development,and its upgrading and enhancing competitiveness of the industrial structure is also of obvious significance for enhancement of the development of eastern China and the national marine economy.This paper thinks that the BSPEZ has many advantages,such as unique marine economy,growing high-tech industries,more and more mature industrial system,advancing technological innovation,and outstanding big enterprises,large projects and regional bright brands,but it is also facing problems of low industry cluster,similar industrial structure with each other,still weak technological innovation.So we put forwards the basic approaches to upgrade and enhance the industrial structure:transforming and upgrading the traditional marine industries with advantages,accelerating the development of new marine industries and high-tech industries,integrating marine and land industry,and promoting the rational system arrangements.

Empirical Study on the Measurement of the High-Tech Industry Efficiency in China--Based on the Data of China＇s 31 Provinces （Including Municipalities and Autonomous Regions）

To evaluate the relative effectiveness of the input and output of the high-tech industry in China＇s 31 provinces （including municipalities and autonomous regions）, DEA evaluation model was constructed using data envelopment analysis （DEA）, and DEA evaluation model was solved using Deap2.1 software, for the purpose of obtaining the DEA efficiency and the non-DEA efficiency in all the provinces （including municipalities and autonomous regions）. Then, the comprehensive efficiency, technical efficiency, scale efficiency, scale return, and projection analysis were analyzed. Finally, the provinces of the non-DEA efficiency are sorted according to three efficiencies, and also a goal of improvement is proposed for the purpose of expanding technology investment in the provinces of the DEA efficiency.

China’s Imports Technology Structure and Its Relationship with Trade Partners:1995-2011

This paper uses the latest data to analyze the historical patterns and the current situation of the technology structure of China＇ commodities imports, the structure of China＇s commodities imports from 19 countries and regions, and China＇s interdependent relationship with its trade partners on the basis of studying 230 kinds of manufactured products categorized by their technological intensity. The results show that during the period of 1995-2011, the share of low technology （low-tech） products and medium technology （medium-tech） products declined,＂ the share of primary products, resource- based products, and high technology （high-tech） products increased; high-tech products had taken the largest share, bypassing low-tech and medium-tech products, as early as 2000; different types of countries exported different kinds of commodities to China and had different positions in China＇s imports; China had relatively high interdependent relations with Japan, South Korea and China＇s Taiwan; China had relatively low interdependent relations with the United States, Germany, France and the Netherlands; China＇s import dependence on major developing countries and emerging developing countries was less than these countries＇ export dependence on China; China was the leading export destination for major developing countries and emerging developing countries. Generally speaking, the development of China＇s import trade is inclusive, and China shares its growth with other countries. It not only promotes developing countries＇exports but also enhances developed countries＇ exports.

Discussion on Existing Problems and the Development Trend of Electrical Automation Monitoring System

With the continuous improvement of industrial automation in our country and the use of high technology, promoted the scientific content of traditional industry. The development of electric automation control system inevitably turn towards a systematic, comprehensive development direction. This article first analyze the present problems in electrical automation monitoring system, analyzes its future development trends, so as to provide some reference for the effective application of electrical automation in the future monitoring system, fundamentally realize the resources sharing.