| The information industry in Liaoning province has made obvious progress in the past ten years, but its industry scale, industry structure and development level have a big gap in many aspects compared with the developed provinces and cities in our country. With the speeding-up of the economic globalization and industrial transfer phase through One Belt and One Road economic circle, how to grasp the opportunity of the current mode change of the information industry development and make information technology create more economic value and social value, is an effective way to enhance the regional advantages of Liaoning province.Under the background of industrial convergence, information industry is beginning to embrace the important opportunity of breakthrough development. Internal convergence development of information industry continues to deepen. The mutual convergence between information industry and other industries has also become much more closely, and the demand for information technology and information industry keeps maintaining a strong growth momentum. It is crucial to conduct the research on how to carry out the informatization construction in order to better adapt to the economic new normal,In this paper, we integrate various theories and methods of industry convergence. Based on economic growth theory, production theory and the information industry economics, we carry out an empirical research with the methods of econometrics and statistics. From the macro and micro level, we analyze the current situation of information industry and the relationship between the information industry convergence and economic growth, measure and evaluate the total factor productivity of the information industry, the convergence degree between information industry and manufacturing industry, the logistics industry, the convergence quality and efficiency between informatization and industrialization in Liaoning province. The more developed eastern regions of Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong and Guangdong are researched as one unit in comparison with Liaoning. Based on the actual available data, we establish the appropriate economic model, try to make comprehensive use of quantitative analysis method, network analysis and empirical analysis to evaluate scientifically the current situation of information industry in Liaoning province. In doing so, we are able to give the practical route of the information industry development in Liaoning province under the convergence background. The main contents and conclusions of this paper are as follows:1. Calculate the multiplier effect, the feedback effect and the spillover effect between the electronic and telecommunication equipment manufacturing industry and other industries, information transmission, computer services, software industry and other industries and analyze the situation of information industry. Studies have shown that the spillover effects, feedback effects of the two industries are increasing, while the multiplier effects are decreasing. According a cooperation agreement between Dalian, Huludao, Dandong, Yingkou, Panjin, Jinzhou, Liaoyang, Anshan signed in 2008, the eight cities are designed to develop as a whole part. The intensity of economic link shows that the collaboration based on the regional industry cluster network will be helpful to the development of the industry convergence and the improvement of the regional information industry. Through the calculation of the economy strength of the eight cities, it will be conducive to the improvement of the regional information industry, the propulsion of industry convergence based on the regional industry cluster network collaboration.2. Respectively using the Malmquist index method and the stochastic frontier parameter (SFA) model, TFP of information industry in Liaoning province has been calculated based on the data of the electronic and communication equipment manufacturing industry and electronic computer and office equipment manufacturing industry. We also calculate the information technology’s contribution to the TFP of Liaoning province through the combing of the growth accounting and the econometric model. Main conclusions are as follows:the TFP index and TECH index of industry is less than 1; the contribution of technological progress to the development of electronic and communications equipment manufacturing and electronic computer and office equipment manufacturing industry is not obvious; the technical efficiency, technological progress and scale efficiency does not achieve growth at the same pace; TFP growth in Liaoning province and IT has no significant causal relation with the growth rate of fixed assets. The main reason is that information technology investment to total investment ratio is low and it is difficult to estimate the effects on TFP. To change the above situation, it is the best to accelerate technological progress, enhance industrial competitiveness through improving self-directed innovation capability, increase the proportion of the investment in the information industry, and strengthen the application of information technology in the non-information technology industry, thus promoting industrial convergence.3. This article evaluates Liaoning’s internal market convergence degree of the information manufacturing industry and software industry using the Hector fanta’s index and the convergence degree between the information industry, the manufacturing industry and the logistics industry using the input-output table. On the whole, compared with the national average, the internal convergence degree of the information industry in Liaoning is higher and the convergence degree between the information industry, the manufacturing industry and the logistics industry manufacturing industry is lower. But the convergence degree of the information industry and chemical industry, general special equipment manufacturing industry, instrumentation and cultural office machinery manufacturing industry of alignment is higher than the national average level, especially the convergence degree between information industry and the general and special equipment manufacturing industry, as a capital-intensive industry, is much higher than the national average. The convergence degree of information industry and the logistics industry in Liaoning is lower than most of the provinces, although the output value of the logistics industry in the province in China is relatively high. It means the informationization level of the logistics industry in Liaoning must be further improved.4. In the paper, vector autoregressive models have been established to analyze the interactive relationship of industrialization and informatization. The impulse response and variance decomposition are used to analyze the model. The results show that the informatization and industrialization in Liaoning province are Granger reasons, and the informationization level and industrialization level have mutual influence on each other. The impact of industrialization level on informationization will gradually play a leading role; and the impact of informationization level on industrialization is limited.5. The paper evaluates the convergence quality of information industry and industrial industries in the eastern regions in the past 11 years using the nonparametric fixed effects models, which points feasible paths to the convergence development of industrialization and informatization in Liaoning province.. The results show that convergence has a different degree of influence to the transformation of the economic growth and the industrial structure adjustment of the eastern regions. The path of industrialization improving informationization is more noticeable, and we should strengthen the path of industrialization improving industrialization.6. The convergence efficiency of informatization and industrialization in Liaoning province is analyzed from the angle of the coordinated development. First, calculate convergence degree of the informatization and industrialization based on coordination degree model; then calculate the cross efficiency of industrialization and informatization using DEA kind efficiency; lastly calculate the convergence efficiency of the two. The research results show that the convergence degree and convergence efficiency of informatization and industrialization since 2003 has presented a gradual increase trend, but a downward trend has appeared since 2010; industrialization and information convergence in Liaoning province is still faced with serious challenges, and expanding the size of the electronic information industry and increasing its proportion in the national economy is still the main development direction in the future.7. We establish the econometric model to analyze the relationship between the information industry convergence and economic growth. Firstly, analyze the relationship between informatization and the economic growth by establishing two sector models. Apply panel unit root and panel GRANGER causality to test the relationship between information and economic growth in the eastern regions. The results show that the development of informatization and economic growth are the GRANGER cause and effect. Based on the variable parameter models, through Kalman filter method as well as using the stock of science and technology, the paper inspects the technology integration level dynamic impact on the level of economic development under the effects of the economic structure change and institutional transition and other factors in the growth process of economy. Based on the dynamic analysis, technology convergence has an obvious promoting effect on the economic development. However, there are still a lot of problems to be solved in regards to the technology convergence. Especially under the premise of deepening the market economy system, the government should strengthen the guide and incentive of technology convergence. On the basis of technology convergence, the government should promote market convergence and product convergence, namely, to promote the process of the commercialization, industrialization of the technology innovation achievements.By doing so, industry convergence can become the main power of sustained economic growth in china. Finally, the total factor productivity of the eastern provinces and Liaoning has been calculated by the use of the Malmquist index method. The results show that the main power of accelerating development of manufacturing industry of Liaoning province comes from the technical progress and technical efficiency improvement. On the basis of the introduction of industrialization and related theories of information industry integration, the empirical analysis between the industrial convergence degree and the Malmquis Index has been conducted, and the results of the study show that there is a significant positive correlation between the informatization and industrialization.Research shows that the contribution of most of the information industry to TFP is not obvious in Liaoning province; most of the information industry have vulnerabilities, such as redundant construction, lack of creativity, etc. And the convergence degree is low between the industries. Most of the industry convergence still stays in the primary stage. The path of informationization driving industrialization is not obvious. The convergence efficiency shows a downward trend. Compared with the other developed eastern provinces, there is still a gap in terms of independent innovation ability. The development of core technology and key equipment had no fundamental breakthrough. The transformation and upgrading of information industry still has a long way to go. Based the actual situation of the information industry clusters in Liaoning province, the paper puts forward the following suggestions:(1) Give full play to the Dalian radiation effect, promote the development of the northeast old industrial base, and promote the in-depth convergence between the information technology and manufacturing industry in order to realize coordinated development of the two paths of industrialization promoting informatization and informatization driving industrialization. (2) Construct industrial innovation network, improve the industrial chains, strengthen information industrial clusters, and support cluster innovation development. (3) Use internet creative thinking to construct informatization and better adapt to the economic new normal. (4) Change the mode of information infrastructure construction and use. Through the purchase and use of cloud services, construct the department informatization. (5) Develop the modern service industry, and at the same time promote "four industries convergence" between the manufacturing industry, software industry, operation industry and content service industry. (6) Perfect the policy environment of the information service outsourcing and software trade and cultivate information industry related service agencies, such as industry associations and industry alliances. (7) Speed up the implementation of talent project to create a reserve of advantageous talents.
|
PDF Full Text Request