The Comparative Study on Bohai Rim Regional Technology Innovation Ability

Zilang, Huang; Zhang, Yaming; Liu, Zhuo

doi:10.1016/j.phpro.2012.05.065

Cited by 4 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regional Innovation Systems can be evaluated through such nonparametric methods as Data Envelopment Analysis-DEA [77][78][79][80][81][82] and Free Disposal Hull-FDH [83] (they also used DEA in their studies) and through parametric methods such as Stochastic Frontier Analysis (SFA) [84], [85] (also they used DEA in their studies) and Thick Frontier Analysis-TFA. In addition, some other statistical methods, mainly factor [86,87], discriminant [88], cluster [89] and regression [78,90], and also normalization methods [66][67][68][69]72,73] and Markov Chains [91][92][93] are used to evaluate regional innovation performances and to classify regions with similar characteristics.…”

Section: Methodsmentioning

confidence: 99%

Regional Innovation Performances in Turkey

Özen

Baycan

2022

Sustainability

View full text Add to dashboard Cite

The purpose of this study is to provide a temporal dynamic analysis of transitions of the regions in Turkey from one state of innovative performance to another by using successive Markov Chains. Regarding the intellectual assets, consisting of the patent, utility model, trademark and design applications, Markov Chains have revealed that there are regional disparities (between i. regions located in the east and west of the country, ii. metropolitan and non-metropolitan regions, iii. high-developed and relatively less-developed regions). Results show that metropolitan regions have higher performances. Innovation leaders which take place in all indicators and time periods in terms of applications are Adana, Ankara, Bursa, Eskişehir, İstanbul, İzmir, Kayseri, Kocaeli, Konya and Manisa regions. It is explicitly distinct that İstanbul leads in the innovation performances for each variable in all time periods. In contrast, regions with the lowest innovation performances are Ağrı, Artvin, Bingöl, Bitlis, Erzincan, Hakkari, Kars, Muş, Siirt, Tunceli, Bayburt, Bartın, Ardahan, Iğdır and Kilis. In addition to having the lowest innovation performances, these regions are identified by state policies as ‘priority regions in development’ or ‘state of emergency regions’.

show abstract

Section: Methodsmentioning

confidence: 99%

Regional Innovation Performances in Turkey

Özen

Baycan

2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…Besides, he puts forward that China's regional technological innovation capability has a certain distribution characteristics of spatial concentration, and interregional differences are greater than regional differences [5] . Moreover, some other scholars have conducted researches on technological innovation capability by using different methods [6][7][8][9][10] . In the course of evaluation those research achievements mainly focus on technology innovation capability's differentiation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of regional technology innovation capability based on R clustering and entropy methods

Liang

Zhang

2013

2013 International Conference on Management Science and Engineering 20th Annual Conference Proceedings

View full text Add to dashboard Cite

Aiming at the problem of index to evaluate the capability of regional technological innovation in a large quantity and the problem of the impact on assessment results caused by the correlation among the indicators, the paper creates the evaluation indicator system from the input, supporting, and the output three aspects based on the analysis of the components of system. Combined with the economic meaning of the indicator, clustering the criterion layer indicators, the regional capabilities of technological innovation of our country's 16 provinces and cities are evaluated comprehensively by utilizing the entropy method. The evaluation results reflect the actual level of various provinces and cities in the technological innovation capability, which verify the validity and scientific of the proposed method.

show abstract

Dynamic Analysis of Regional Scientific and Technological Innovation Capacity—A Case Study in Sichuan Province

Liang

Li³

et al. 2019

Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

View full text Add to dashboard Cite

The Comparative Study on Bohai Rim Regional Technology Innovation Ability

Cited by 4 publications

References 4 publications

Regional Innovation Performances in Turkey

Regional Innovation Performances in Turkey

Evaluation of regional technology innovation capability based on R clustering and entropy methods

Dynamic Analysis of Regional Scientific and Technological Innovation Capacity—A Case Study in Sichuan Province

Contact Info

Product

Resources

About