Abstract
Science and Technology Park (STP) is one of the most important innovation policies to develop the regional economy. To manage the STPs successfully, a standard evaluation system as a reference is needed. However, there is no consensus about the definition of successful STPs due to their different goals and regions. Hence, it is necessary to establish a reference framework to evaluate the success of different STPs and it is essential to assess their main goals as the competitive advantage by a set of innovation indicators. This study developed a research model to evaluate the competitiveness of STPs by analyzing the impact of innovation subjective externalities based on the Global Innovation Index (GII) and approach to the eco-innovation key indicator. This STP evaluation model is adopted and tested by two different fuzzy analyzing and examines the survey forms and questionnaires that have been filled by some STP experts and as a case study all the evidence has been gathered and analyzed from “Caohejing Hi-Tech Park” in Shanghai and the results evaluated the competitive advantage via innovation policies and performances and the rating rank contents some innovation main dimensions, key indicators and factors and also the important result as eco-innovation development and diffusion.
Highlights
The Science and Technology Park (STP), is a powerful complex to develop the regional innovation to be set up as a techno-polis.(Wikipedia, n.d.-b) In recent years a good number of researches involved in evaluating the STPs to find the best way willing to compare different STPs structures
Some weakness of Global Innovation Index (GII) includes indicators that go beyond the traditional measures of innovation (GII, 2015) and it cannot make a strong relationship among indicators representing input and output.(Sohn, Kim, & Jeon, 2016) we have decided to add ―eco-innovation development‖ in the output as one of the main new STP goals of eco-system and make a strong chain between innovation input and output by fuzzy Analytic Hierarchy Process (AHP) process and Data Envelopment Analysis (DEA) process
The hypothesis of this study was undertaken to design a multi-criterion reference framework to measure the effectiveness of the key indicators to achieve the eco-STP system
Summary
The Science and Technology Park (STP), is a powerful complex to develop the regional innovation to be set up as a techno-polis.(Wikipedia, n.d.-b) In recent years a good number of researches involved in evaluating the STPs to find the best way willing to compare different STPs structures. Many factors extend on a large set of dimensions affecting the STPs and this feature makes STPs difficult to be properly evaluated or compared. This research aims to capture a multi-dimensional evaluation model by discussing the nature of STP according to the innovation measurement. This innovation large scale, based on global innovation index (GII) is obtained to evaluate the effectiveness both of the innovation policies and innovation performances. This model as a comprehensive framework measures the innovation input to output growth upon improving the eco-innovation development as a strong competitive advantage. The feedbacks of an STP in Shanghai - China as the case study considered the effectiveness of innovation output on STPs competitiveness
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