سنجش ضریب کارایی تجاری سازی در پارک های علم و فناوری ایران با توجه به ظرفیت صنعتی و نوآوری منطقه ای (مقاله علمی وزارت علوم)
درجه علمی: نشریه علمی (وزارت علوم)
آرشیو
چکیده
این مطالعه با استفاده از رویکرد تحلیل پوششی داده های بوت استرپ نهاده محور با استفاده از الگوریتم LSW، به تخمین مقادیر کارایی تورش اصلاح شده کارایی فنی، مدیریتی و مقیاس مراکز فناوری با تأکید بر پارک های علم و فناوری در ایران پرداخته است. پرسش محوری این مقاله آن است که ظرفیت صنعتی و ظرفیت نوآوری منطقه ای در هر استان چگونه بوده و ماتریس ارتباط بین ضریب تجاری سازی و ضریب صنعتی و نوآوری هر منطقه به چه صورت است. نتایج به دست آمده از این مطالعه حاکی از آن است که نمره ابَرکارایی در مراکز فناوری کشور (بازده متغییر نسبت به مقیاس) 97/2، نمره کارایی 94/0 و نمره کارایی با استفاده از روش بوت استرپ، 85/0 است. همچنین یافته های تحقیق نشان دهنده آن است که مهم ترین عامل در ارتقای کارایی فنی پارک های علم و فناوری کشور، ارتقای کارآمدی مدیریتی است. براساس یافته های تحقیق، تنها 5 پارک از میان 15 پارک علم و فناوری با کارایی تجاری سازی بالا دارای نوآوری بالا هستند که سه مورد از آن ها در مناطق صنعتی و دو مورد دیگر در مناطق نیمه صنعتی مستقر هستند. ازجمله دلایل موفقیت آن ها، می توان به وجود صنایع پیشران، وجود ارتباط مؤثر دانشگاه و مؤسسات پژوهشی با صنعت، شبکه بندی مرتبط با نوآوری و مواردی از این قبیل اشاره کرد. از سوی دیگر با نگاهی به 4 منطقه غیرنوآور که کارایی تجاری کمتری دارند، مشخص می شود که آن ها در مناطق نیمه صنعتی و ضعیف مستقر هستند و ازجمله مهم ترین موانع نوآوری آن ها، می توان به عدم خوشه بندی های دانشی، تأکید بر مهارت های نظری مطلق، عدم هماهنگی لازم میان سازمان های تخصصی و عدم تأکید بر نوآوری اشاره کرد.Measuring the Efficiency of Commercialization in Science and Technology Parks of Iran According to Industrial Capacity and Regional Innovation
Using the input-oriented bootstrap data envelopment analysis approach, using the LSW algorithm, this study estimated the corrected bias efficiency values of the technical, managerial and scale efficiency of technology centers with an emphasis on science and technology parks in Iran. The central question of this article is what is the industrial capacity and regional innovation capacity in each province and what is the matrix of the relationship between the commercialization coefficient and the industrial and innovation coefficient of each region. The results obtained from this study indicate that the super-efficiency score in the technology centers of the country (variable return to scale) is 2.97, the efficiency score is 0.94, and the efficiency score using the bootstrap method is 0.85. Also, the findings of the research show that the most important factor in improving the technical efficiency of science and technology parks in the country is the improvement of managerial efficiency. According to the research findings, only 5 of the 15 science and technology parks with high commercialization efficiency have high innovation, three of them are located in industrial areas and the other two are located in semi-industrial areas. Among the reasons for their success, we can mention the existence of driving industries, the existence of effective communication between universities and research institutions with industry, networking related to innovation, and such things. On the other hand, looking at 4 non-innovative regions that have less commercial efficiency, it is clear that they are located in semi-industrial and weak regions, and among the most important obstacles to their innovation, we can mention the lack of knowledge clusters, emphasis on absolute theoretical skills, lack of necessary coordination between organizations He pointed out specialization and lack of emphasis on innovation. Introduction The growth centers of technology units and science and technology parks can play a unique role in the commercialization of knowledge and the growth and development of the regional economy, and from the functional point of view, the parks cultivate and apply knowledge in a targeted manner and in creating knowledge-based employment, the rapid growth of the income of the local community. and creating wealth, increasing the level of specialized competition, creating influential business networks, creating the capacity to access other markets, improving the level of education and market-oriented skills, defending a cooperative and competitive knowledge business culture, and providing creative and innovative public services. In Iran, like the member states of the European Union, various science and technology parks are active in different provinces of the country. Now the central question is how successful these parks have been in commercializing ideas? Also, another central question is what is the industrial capacity and regional innovation capacity in each province, and what is the matrix of the relationship between the commercialization coefficient and the industrial and innovation coefficient of each region? The answer to each of the above questions can help to examine the state of regional innovation and commercialization development or industrial lock-in and commercialization in each province. Case Study Modified bias efficiency of technical, managerial and scale efficiency of technology centers with emphasis on science and technology parks in Iran. Materials and Methods In this research, the bootstrap approach has been used. First, he explained the general process of data generation and bootstrap, and then, in the second section, we introduced the method of evaluating the efficiency, i.e. data envelopment analysis, and finally, this section ends with the introduction of algorithms for estimating the data generation process (DGP) in the third part. Discussion and Results The Results of the research confirm that among the types of parks and according to the required infrastructure, it is possible to make the country's science and technology parks mission-oriented according to the coordinates of the advanced technology park, innovation and entrepreneurship park, university park, virtual park and business park. The central mission of the parks based on which model is defined requires a detailed analysis of the structure of human capital, the state of universities in each province, the evaluation of the local economy according to the structure of the macro economy, the business environment, analysis of the local, regional and extra-regional market, the structure of investment and sources of supply. Finance depends on the local economic cycle, local capabilities and talents, entrepreneurial infrastructure, and the state of technology in each province. In this article, the results and achievements of the commercialization of science and technology parks have been examined and quantified. Conclusion The regional science and technology park, as a market support institution, together with universities and industry, can create a regional innovation ecosystem. The regional science and technology park should balance local and extra-regional facilities and needs. By examining the institutional structure of science and technology parks in the world, it can be seen that the parks do not have the same structure and countries have adopted different goals and diverse operational models depending on the development goals and university structure and industrial and technology structure according to regional requirements; Therefore, developed and developing countries have followed different development patterns according to their needs.
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