Performance Evaluation of Innovation Ecosystem of Sci-Tech Park Based on Two Stage DEA -- a Case Study of National High Tech Zone

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1 Performance Evaluation of Innovation Ecosystem of Sci-ech Park Based on wo Stage DEA -- a Case Study of National High ech Zone JianzhaoYang 12 Xiaodi Li 1 1. School of Economics and Management Harbin Engineering University Harbin Heilongiang 2. Department of Science and echnology Harbin University of Science and echnology Harbin Heilongiang Abstract: High-tech park as the key force in the development of economy and the science and technology in the people's Republic of China needs a set of performance evaluation of innovation ecosystem to guarantee its rapid construction and upgrade. Based on innovation ecosystem structure of high-tech park input and output indicators are designed using two-stage DEA to build science and technology park innovation performance evaluation index of ecological system and models reflects the innovation generation and transformation of the actual process of diffusion more accurately. 29 national high-tech zone in our country are selected as the actual evaluation samples carrying on the comparison to operational efficiency effectiveness analysis and corresponding countermeasures and suggestions are given to promote the sustainable development of high-tech park. Keywords: DEA; innovation ecosystem; performance evaluation 1. Introduction Since 1991 the Beiing City high tech Industrial Development Zone was established it has been made impressive achievements during 3 years the construction of high tech Zone promotes the development of science technology and economy China as the representative of the Sci-ech Park becoming gradually mature in the function and role. It has been continuously innovative and upgrading in the traditional development model and building Sci-ech Park innovation ecosystem has become an important developmental direction of Innovation and upgrading of Sci-ech Park. he construction of innovation ecosystem has important strategic significance: it can speed up the innovation and development of the area where Sci-ech Park is in and optimize the structure of the development of science technology and economy. In the fierce competition of international and domestic Innovation Sci-ech Park as the principal part promoting the regional scientific and echnological development and economic construction should accelerate the construction of innovation ecosystem construction and upgrading. China's Sci-ech Park has become the dominant force in building an innovation oriented country exploring the independent innovative road with Chinese characteristics and promoting the innovative-drive development (Liu Zhi Chun 215) [1]. Sci-ech Park as a gathering area of innovative elements had rich innovative main bodies resources and good innovative environment the convenient information flow capital flow business flow logistics. hese are good basis for cultivation and operation of innovation system. Although the number of Sci- ech Parks in our country has been increasing year by year compared with that in other countries in the world there are still many problems for example there are more Sci-ech Parks gathering together; cluster effect is not obvious park contribution rate needs to be improved etc. hus a set of Sci-ech Park innovation ecosystem performance evaluation system should be established to guide the Sci-ech Park to the direction of Innovation Ecosystem Optimization development and the results of innovation ecosystem performance evaluation are taken as an important basis for evaluation and policy support of the Sci-ech Park development level. Many scholars constructed Sci-ech Park innovation capability and performance evaluation index and methods. Xia Hui (28) connected "3-zone interaction" innovation networks and urban innovation system and put forward the path for connecting [2]. Zhang Zhong De (29) analysized the relationship of the hi tech park innovation system and mechanism [3]. Chen Xiangdong etc. (214) studied high tech Zone Innovation from perspective of innovation ecosystem considered the factors of influencing innovation to provide diagnostic basis for innovation for the high and New echnology Industrial Development Zone[4].Dong Qiuling etc. (26) constructed technological innovation ability evaluation index system of the Sci-ech Park using multilevel grey evaluation method to evaluate.[5] Lu Xin etc. (212) comprehensively utilizating DEA and other methods didi empirical analysis of small and medium-sized enterprise input and output efficiency in the ZhongguancunSci-ech Park [6]. Liu Jing (213) put forward specific recommendations on the innovation of the high tech Zone performance indicators system in forms and contents [7]. Yuan YuanGu (215) through the empirical study showed that the relationship between the degree of industrial concentration and regional innovation output during the two periods at the beginning of establishing development zone and after the period of cleaning up and local government intervention has a certain impact on the cluster's performance of develpopent zones[8].in the DEA method for innovation performance evaluation Xue Dong Zhu (21) the DEA method for evaluation of innovative enterprises performance [9] Liu Yufen. (21) use DEA model to Western high-tech industries technological innovation performance evaluation [1]. Zhang Ling (212) in Hebei Province Science and technology innovation system the use of two stage DEA method evaluation and analysis of the the province science and technology output efficiency and scientific and technological achievements transformation performance[11]. Visible DEA method from input and output angle of view in terms of innovation performance evaluation has a high applicability. Although scholars designed performance evaluation indicators and methods of Sci-ech Park from different angles the performance evaluation of the Sci-ech Park is still concerned about the scales and economic benefits neglecting the characteristics and abilities of the Sci-ech Park as an innovative ecological system and also does not make a strict distinction between the intermediate and final output. whether the Sci-ech Park has formed innovation ecosystem and whether intermediate results can be quickly and effectively transformed and ultimately the formation of good technical economic social benefits will become the focus of performance evaluation of the Sci-ech Park in the future. 2. Characteristics of the innovation ecosystem of Sci-ech Park he innovation ecosystem of Sci-ech Park has three characteristics. (1)It has the characteristic of system. Sci-ech Park itself is an innovation ecosystem and main bodies of innovation ecosystem have a nonlinear connection also they are interacted with each other constituting network relation meanwhile all kinds of main bodies are operated in the certain environment so they and the environment also have mutual effect. All kinds of information flow capital flow logistics and other elements in the system are processing frequently. hrough the combined action of the internal and external environment of the system he innovation ecosystem of Sci-ech Park can adust itself maintain the basic functions of the system. he best state of development for the innovation ecosystem of Sci-ech Park ecological system is cooperation and competition mutualism. Journal of Residuals Science & echnology Vol. 13 No DEStech Publications Inc. doi: /issn /13/6/2

2 (2) It has the characteristic of phase and cycle. he evolution of innovation ecosystem of Sci-ech Park has the characteristics of stage and cycle. he innovation output of Sci-ech Park is not overnight but in the reasonable innovation investment a large number of scientific and technological achievements are produced and the scientific and technological achievements can be quickly transformed into productivity thus realizing the commercial value of the products. he process can be divided into two stages: from "science and technology innovation investment to scientific and technological achievements generation" and from "scientific and technological achievements transformation to the innovation performance realization. So innovation activities of Sci-ech Park are cyclic processes making Sci-ech Park always maintain a dynamic update and continuous upgrading. (3) It has the characteristic of region. Sci-ech Park innovation ecosystem has characteristic of region. Due to the different geographical positions of different Sci-ech Parks the geographical environment climatic conditions economic levels the levels of science and technology policy environment cultural environment and available resources are different too so the innovation ecosystem of Sci-ech Park essentially has gone beyond the location restrictions of the Sci-ech Park. It takes production and learning resources such as regional colleges and universities scientific research institutions as technical support and regional resource conditions and policy environment as environment support and it has become the core of the regional innovation ecosystem with significant regional dependence and formed Regional industrial characteristics. 3. Performance evaluation index of Sci-ech Park innovation ecosystem based on the two stage of the DEA Considering the systematical dynamic symbiotic characteristics of Sci-ech Park as an innovation ecosystem and the periodic characteristic of the generation and transformation of achievements of Sci-ech Parks based on the thought of two stage DEA assessment in the performance evaluation of innovation ecosystem of Sci-ech Park index system should be established from the three links: input the intermediate output and the final output of. able 1 shows the construction of performance evaluation index of innovation ecosystem in Sci- ech Park. able 1 performance evaluation index of innovation ecosystem in Sci-ech Park DEA operation link index R&D expenditure X 1 R&D Personnel of full-time equivalent X 2 Number of enterprise X 3 input Middle output Proportion of enterprises above designated size X 4 Number of S& public service platforms X 5 Funds derived from government X 6 Energy consumption per RMB 1 productionx 7 Ecological park construction investment X 8 Patent application number in current year X 9 Number of invention patents X 1 Proportion of innovative enterprises X 11 Amount of technology contract deal X 12 S& proects number of industry-university collarationx 13 Number of reduction or exemption of enterprise tax X 14 otal income X 15 Sales revenue of new products X 16 Growth rate of the number of enterprises X 17 Proportion of high and new technology production to total production X 18 otal exports X Input indexes Input indexes includes the following eight indexs: funding investment for R & D and R & D personnel equivalent number of enterprises proportion of Enterprises above designated size the number of science and technology in public service platform obtaining the amount of government funds energy consumption of unit GDP investment of eco industrial park construction. (1) R&D expenditure. It refers to the expenditure of Sci-ech Park enterprises to carry out R & D activities basic researches applied researches and experimental development and the unit is million yuan. R&D funding is fund guarantee for Continuing to carry out technology research and development activities ongoing research and development funding and the basis for innovation ecological system of Sci-ech Park continuously upgrading (2)R&D Personnel of full-time equivalent. It refers to the R & D personnel nondairy full-time R & D personnel according to the workload of the conversion for full time staff of the sum the unit is peson; R & D personnel provides personnel security for innovation activities of enterprises and Sci-ech Park. (3) the number of enterprises refers to the total number of enterprises settled in the Sci-ech Park. he more the enterprises are the stronger the breeding function of Sci-ech Park incubator is the more attractive the enterprise is and the higher possibility the industrialization is. (4) proportion of Enterprises above designated size refers to the proportion of main business in Sci-ech Park and the unit is %. he higher the proportion of Enterprises above designated size is the stronger ability science and technology industrial parks and enterprises have. (5) the number of science and technology in public service platform refer to the science and technology public service platform with the characteristics of basic openness and of public welfare (including platform of basic condition public technical service platform) and the unit is a; the more platform of science and technology in public service the stronger support the Sci-ech Park will provide for the study of the high-tech enterprises in the park technological innovation science and technology innovation and entrepreneurship and to integrate internal and external resources activities. (6) obtaining the amount of government funds refers to all the total funds received by the Sci-ech Park and park enterprises from the government including funds for construction tech proects special fund for science and technology incubator Fund Awards of science and technology and the unit is million yuan. he more financial support Science and technology park and its enterprises get from the government the more conducive the construction of science and technology park to promote enterprise sustainable innovation investment conditions. Journal of Residuals Science & echnology Vol. 13 No DEStech Publications Inc. doi: /issn /13/6/2

3 (7) energy consumption per RMB 1 turnover is the consumed energy of per million yuan output value namely output value of energy consumption of million yuan is equal to otal energy consumption (tons of standard coal / value (1 yuan) and the unit is ton of standard coal. his index reflects energy consumption and saving energy and reducing consumption the enterprise development of Sci-ech Park. he higher the index value is the higher efficiency the energy use is. (8) investment of eco industrial park construction refers to the input investment for the construction of the Eco Park including construction of the recycling system the park the construction of pollution control system greening power systems construction of industrial ecological chain etc. and the unit is million yuan. he higher Ecological park construction investment is the more perfect the park's ecological circulatory system is. 3.2 Output index he input-output model of science and technology park innovation ecosystem is shown in figure 1. R&D expenditure X1 R&D Personnel of full-time equivalent X2 Number of enterprise X3 Proportion of enterprises above designated size X4 Number of S& public service platforms X5 Funds derived from government X6 Energy consumption per RMB 1 productionx7 Patent application number in current year X9 Number of invention patents X1 Proportion ofinnovative enterprises X11 Amount of technologycontract dealx12 S& proects number of industryuniversity collarationx13 Number of reduction or exemption of enterprise taxx14 otal income X15 Sales revenue of new products X16 Growth rate of the number of enterprises X17 Proportion of highand new technologyproductionto total production X18 otal exports X19 Figure. 1 Input-output model of science and technology park innovation ecosystem. From Figure 1 it can be seen that the output (output) of the first phase is the investment of second stage which is because part of scientific and technological achievements is not the outcome facing market. hese scientific and technological achievements need further transformation to produce the final output for example intermediate outputs patent needs further to be transformed into the new products support by patent and makes the enterprise get more profits and this embodies economic and social value of Sci-ech Park Innovation Ecosystem. First stage output (the second stage input) has six indexes including the number of patent applications the number of invention patents the proportion of innovation oriented enterprises trading volume of technical contracts the number of Production science and technology plan proect and the number of corporate taxes deductions. (1) the number of patent applications refers to all the number of patents applied by all the Sci-ech Park enterprises including domestic patent and PC patent and the unit is item; the more the number of patent applications is the more frequent activities of enterprise innovation are and the greater possibility for getting independent intellectual property rights is. (2) the number of invention patents is the total number of invention patent number of science and technology enterprises in the park and invention patent equivalent can be calculated for example invention patent equivalent is 1.5 PC invention patent number plus domestic invention patent number[12]; the more invention patent number is the more possibly the patent technology products will be generated. (3) the proportion of innovation oriented enterprises refers to the proportion of the total number identified by relevant government departments in the Sci-ech Park total number of enterprises and the unit is %. he higher the proportion is the stronger the innovation and innovation strength of enterprise in Sci-ech Park will be and the more contribution to regional science and technology innovation will be. (4) trading volume of technical contracts is the total amount of the technical contract transaction and the unit is million yuan. he larger the technical contract transaction amount is the higher the degree of the enterprise cooperation and technology transformation will be. (5) the number of Production science and technology plan proect refers to the number of production education and research proects by Sci-ech Park enterprise and the unit is item; the more the number is science and technology the higher the association of production education and research proects of Sci-ech Park will be the more fruits of cooperation may be and the stronger industrial cooperation innovation ability will be. (6) the number of corporate taxes deductions refers to the amount of taxpayers' tax reduction or exemption of the Sci-ech Park enterprise according to the tax law regulations the unit is million yuan; he higher the number is the more frequent the enterprise innovation activities and business behavior will be and more likely they will carry out innovative investment and achieve good economic benefits. he second stage output (final output) is the ultimate manifestation of the Sci-ech Park innovation ecosystem performance reflecting the ability the Sci-ech Park has to transform technological achievements to productivity. he output key in this stage is reflected the economic effect obtain ed by the Sci-ech Park. he indexes include total income the income of new product sales growth rate of the number of enterprises proportion of New and high technology production to total output value and total exports. (1) total income refers to the total income obtained by the Sci-ech Park enterprise including the main business income and other business income and operating income and the unit is million yuan; the larger the number is the more obvious the economic benefit will be. (2) the income of new product sales refers to the total income of Enterprises in Sci-ech Park in the main business income and other business income by saling new products the unit is million yuan; the more sales of new products are the more ability Sci-ech Park has to continuously develop new products realize their market price value continuously innovate and obtain high returns. (3) growth rate of the number of enterprises is changes in numbers of Sci-ech Park enterprises. Its calculation formula is growth rate of the number of enterprises[(the number of enterprises at the end of the year- the number of enterprises at the end of last year) / the Journal of Residuals Science & echnology Vol. 13 No DEStech Publications Inc. doi: /issn /13/6/2

4 number of enterprises at the end of last year]1% and the unit is %; the higher the rate is the higher attraction of the perfect environment to enterprises will be and the faster the enterprises will grow. (4) proportion of New and high technology production to total output value refers to the proportion of Sci-ech Park high-tech output value to total output value and the unit is %; he higher the proportion is the stronger the innovation ability of Sci-ech Park will be and the more competitive the high technology will be and of and the more prominent the leading role of the Sci-ech Park will be. (5) total exports is the total amount of the Sci-ech Park enterprises from home to abroad and the unit is million dollars. he greater the total amount of exports is the higher the international competitiveness and the higher the degree of exteriorization of the Sci-ech Park will be. 4 Construction of innovation ecosystem performance evaluation model based on based on the two stage of the DEA Sci-ech Park 4.1 method selection basis Now there are many evaluation methods for the performance but because the Sci-ech Park innovation ecosystem performance is a phased output the DEA evaluation method can be used. DEA method was proposed by the Charneset al in 1978.DEA as a method combining science planning and statistical analysis can identify the optimal efficiency of decision making units (DMUs) and decide the relatively ineffective decisions making unit and it can also proect decision making units to efficient production frontier. he basic idea of DEA is to put each region as a DMU and then constitute a DMU Evaluation group. hrough the analysis of ratio between input and output With the weight of each DMU input and output indicators as the variables to evaluate and calculate to determine the efficient production frontier and according to the distance of the front face of each DMU and effective production to determine whether each DMU is effective.dea as a method of multi input multi output and Evaluation of the same type unit does not need to set the steps of weight or standard. It is obective and statistical data have both absolute index and relative index. herefore DEA method is an alternatively effective method. Combining LINGO and DEAP the Sci-ech Park innovation ecosystem performance evaluation model is solved and two kinds of tools both have their respective advantages. he advantage of LINGO is that the of decision variables can be in the form of an integer and it can generate model language which can provide Mathematical function for the users and it can also receive other data files. DEAP is a model of software for solving the DEA and it can calculate many numerical values the users need such as value of the efficiency slack variables and it can also quickly solve the proection on the surface of the decision making units in the production frontier. 4.2 he DEA model for performance evaluation of science and technology park innovation ecosystem On the evaluation of the innovation effect of science and technology park innovation ecosystem it is necessry to see each phase as an input-output process. he two stages can be regarded as formation stage and transformation stage of science and technology achievements then a two-stage DEA model can be set up according to the two stages in which each phase are calculated by using DEA-C 2 R model. he performance evaluation DEA-C 2 R model of science and technology park innovation ecosystem are constructed as follows. aking each science and technology park innovation ecosystem in all stages as a decision-making unit which has m type of the input and s type of output and there are totally n science and technology park namely n decision-making units of the same type. he no. science and technology park innovation ecosystem is DMU 12 n. x is recorded as no. i type input in the performance evaluation system of no. science and technology park innovation ecosystem i x i > i 12 m. y is recorded as no. r type output in the performance evaluation system of no. science and technology park innovation ecosystem y r > i 12 r. he input and output variables of x y DMU are: ( x x x x ) i m n ( y y y y ) 1 2 i s 12 n v Assuming i is the weight coefficient of no. i type input indicator and ur is the weight coefficient of no. r type output indicator then the two weight vectors are respectively as follows. v v v ) ( 1 2 ( u1 u2 u ) In order to investigate the efficiency of input and output the efficiency evaluation index is introduced. v m u s When taking certain values for v and u it makes efficiency evaluation index h 1 12 n. aking the efficiency index of each decision-making unit as the calculation target it is in demand of constraining the efficiency index. Combining with the above formula 1 the formula 2 CCR( C 2 R ) model can be constructed. (1) Journal of Residuals Science & echnology Vol. 13 No DEStech Publications Inc. doi: /issn /13/6/2

5 (2) xbecause the formula 2 model is a fraction form it should be changed. Let: t 1 w tv µ tu v x 1 According to t w x 1 the formula 2 can be transferred into a linear programming model. v x Making a dual transformation to formula 3 then the dual programming 4 is created. min θ n 1 λ x θx (3) θ unconstrained he expansion of the model is: n s.t. 1 λ y y (4) λ 12 n i minθ x11λ1 x12λ2 x1nλn θx1 x21λ2 x22λ2 x2nλn θx2 xm1λ1 xm2λ2 xmnλn θx y11λ1 y12λ2 y1nλn y1 y21λ1 y22λ2 y2nλn y2 ys1λ1 ys 2λ2 ysnλn ys m (5) Linear programming 3 and dual programming 4 have the same optimal value that is h θ then the efficiency value h of the decisionmaking unit can be achieved by calculating the value of θ. hrough the above transformation the fractional form of the C 2 R model is converted into linear programming form the corresponding dual programming can be solved and the efficiency value can be achieved at last. Introducing relaxation variables into the dual programming. Input s _ s s ) ( 1 2 s m Output s s s ). ( 1 2 So the DEA- C 2 R model finally generated is as shown in formula 6. min θ n 1 n s.t. 1 λ x s θx s m λ y s y (6) λ 12 n s s _ θ unconstrained Journal of Residuals Science & echnology Vol. 13 No DEStech Publications Inc. doi: /issn /13/6/2

6 (1) he effectiveness evaluation basis of the performance of science and technology park innovation ecosystem. When θ 1 s and s it means decision-making unit for DEA is valid and the efficiency and scale of decision-making unit are commonly effective. When θ 1 and s (or s ) it means decision-making unit for DEA is weakly efficient and decision-making unit is not commonly best for the efficiency and the scale. When θ < 1 it means decision-making unit is not efficient for DEA and the activity is not of the best efficiency and the best scale. (2) he scale returnudgement for performance of science and technology park innovation ecosystem. If ( 1 2 ) λ n and λ 1 DMU scale remains unchanged. If λ < 1 that means DMU increases progressively. If λ > 1 the conclusion is that DMU is decreasing [13]. (3) he significance of slack variable. In the input and output process of science and technology park innovation ecosystem the slack variables inputed are spending too much and the slack variables outputed have insufficient output. hus the conclusion can be drawn that s means input factors for science and technology park innovation ecosystem are not of full use and s shows that production are insufficient or too much which do not reach equilibrium. 5. Performance evaluation of innovation ecosystem in national high tech zone of China 5.1 Data sources he actual evaluation samples state-level high-tech Industrial Development Zone of our country from 211 to 213 are chosen including 29 provinces and cities. Data sources are mainly from the books High echnology Industries in China Statistical Yearbook and Science and echnology of China Statistical Yearbook orch high tech Zone Planning and Statistics and Statistical Yearbook of some provinces and High-tech Zones. some other part of the index such as the input of ecological park construction Research study science and technology proects the number of such data are obtained by calculating the comprehensive indexes or by consulting administrative staff. Analysisall the index data of the state-level high-tech development zones two stages are formed: generation and conversion of technological achievements of scientific and technological achievements and the wo-stage DEA model is used to evaluate the performance of high tech Zone Innovation Ecosystem. 5.2 Evaluation results and implications Using the wo-stage DEA method the results are obtained through DEAP which are shown in able 2 and table 3. On the whole the performance of transformation stage in high-tech zones of our country science and technology achievements and output performance of input stage of scientific and technological achievements is relatively low indicating that the investment level of park enterprise R & D is relatively good and on behalf of a large number of scientific and technological achievements to patent but the transformation and utilization ability of achievements is relatively low. herefore the key to improve the Sci-ech Park innovation ecosystem performance is not the input and knowledge output link but achievements as part of product. able 2 he output of the first stage of scientific and technological achievements decision package technical efficiency pure technical Scale efficiency Scale income efficiency Beiing ianin irs Hebei irs Shanxi irs Liaoning irs Jilin irs Heilongiang irs Shanghai Jiangsu irs Zheiang drs Anhui irs Fuian drs Jixangxi irs Shandong irs Henan irs Hubei irs Hunan irs Guangdong Guangxi irs Hainan irs Chongqing irs Sichuan irs Guizhou irs Yunnan irs Shanxi irs Gansu irs Qinghai irs Ningxia irs Xiniang irs able 3 Second stage of scientific and technological achievements conversion table Journal of Residuals Science & echnology Vol. 13 No DEStech Publications Inc. doi: /issn /13/6/2

7 decision package technical efficiency pure technical Scale efficiency Scale income efficiency Beiing ianin drs Hebei irs Shanxi irs Liaoning drs Jilin Heilongiang drs Shanghai Jiangsu drs Zheiang drs Anhui drs Fuian drs Jixangxi irs Shandong drs Henan Hubei drs Hunan irs Guangdong Guangxi irs Hainan irs Chongqing Sichuan drs Guizhou irs Yunnan irs Shanxi drs Gansu irs Qinghai irs Ningxia irs Xiniang irs From a regional perspective overall operation of high tech Zone Innovation Ecosystem is effective including Beiing Guangdong Shanghai with comprehensive efficiency 1 indicating it is effective; efficiency in ianin is above.85; however the efficiency value in Hebei Shaanxi Gansu Ningxia and other high-tech zones is less than 1 indicating that the DEA is invalid. he high efficiency value of these areas is low indicating that these regional innovation performance and technology utilization achievement conversion rate are relatively low. China Eastern high tech Zone Innovation Ecosystem performance level are higher than that in the central and western regions for the main reason that it is influenced by regional characteristics especially in the Far West high tech Zone being lack of resources causing the ability of achievements transformation and market operation is weak. In Beiing and other developed regions with geographical advantages scientific and technological achievements transformation mechanism and the market environment are more perfect thus with high technology innovation ability and the achievement transformation ability. Some areas invested a lot of resources but output is rather less indicating the low efficiency of resource uses so for these areas to improve the performance level of innovation ecosystem could not blind to the increase of investment in innovation but should pay attention to the rational allocation of resources and its efficient use. In addition the data in the slack variables can also show some problems for example Heilongiang Anhui Gansu appear the phenomenon of excessive input and insufficient output. Concerning this situation appropriate adustment should be carried on in order to maintain the balance between input and output. DEA in Hebei is invalid from the calculation results it can be seen that output and the transformation of scientific and technological achievements are unbalanced which is similar as science and technology innovation performance evaluation results of 11 cities for Hebei province by Zhangling(212). For these provinces in order to improve the ability of echnology innovation not only the ability of technology transformation stage should be improved but ability of achievements should also be improved. echnical efficiency values in Shanxi and Gansu is less than 1 indicating is invalid which is in accordance with the results of high and new technology industry technology innovation performance evaluation in the western region by Liu Yufen(21) and the funds investment should be adusted in Shanxi and Gansu provinces. Efficiency value in Ningxia is less than 1 and scale returns are increasing and Science and the ability of technology innovation is insufficient. his conclusion is in accordance with the results by Hukai (29) based on DEA method for the first stage of China's regional innovation performance evaluation reflecting that if investment of science and technology innovation is increased the output of scientific and technological achievements will be increased too and the region belongs to less-developed areas. he uniqueness of this article is that the process of science and technology park innovation ecosystem and the performance of the production is divided into two stages which is good for reflecting the actual process of innovation generation and transformation more accurately; meanwhile the slack variable to view each phase of the input and output of science and technology park can be achieved by slack variable relations and be adusted which is good for finding problems of each science and technology park to find out the key influencing factors of the performance of innovation ecosystem of science and technology park in order to have better adustment and optimization. 6. Conclusion Considering Characteristics Innovation Ecosystem in Sci-ech Park and stages of characteristics of innovation output using DEA method in the performance of Sci-ech Park innovation ecosystem scientific reference for performance evaluation of Sci-ech Park is provided. State system performance evaluation index and evaluation model of Sci-ech Park innovation are established in order to guide Sci-ech Park Innovation Ecosystem input-output process to be more reasonable and make science and technology management department performance evaluation in China and control of various Sci-ech Park more scientific and to promote the sustainable development of Sci- ech Park. Acknowledgements Journal of Residuals Science & echnology Vol. 13 No DEStech Publications Inc. doi: /issn /13/6/2

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