Measuring regional innovation: A critical inspection of the ability of single indicators to shape technological change

Hauser, Christoph; Siller, Matthias; Schatzer, Thomas; Walde, Janette; Tappeiner, Gottfried

doi:10.1016/j.techfore.2017.10.019

Cited by 42 publications

(33 citation statements)

References 57 publications

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“…However, the application of such composite indices for measuring innovation performance and their utility in directing innovation policy has also been discussed in [1,[23][24][25][26][27][28], mainly due to the problems related to the varying statistical and mathematical methods utilised for aggregating the indicators into a composite indicator [29]. Thus, the lack of one-best-way to construct a composite innovation index has led to open a methodological debate on the theoretical framework to develop the final composite index [30,31].…”

Section: Composite Innovation Indices: a Literature Reviewmentioning

confidence: 99%

“…Innovation is considered one of the key factors behind regional growth and lies at the centre of a huge number of studies trying to identify the driving forces of innovation [1][2][3][4]. Thus, the importance of measuring innovation is widely acknowledged by policy-makers and researchers in order to identify general trends, determine performance targets and set policy priorities.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain

2020

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The evaluation of regional innovation performance through composite innovation indices can serve as a valuable tool for policy-making. While discussion on the best methodology to construct composite innovation indices continues, we are interested in deepening the use of reference levels and the aggregation issue. So far, additive aggregation methods are, largely, the most widespread aggregation rule, thus allowing for full compensability among single indicators. In this paper, we present an integrated assessment methodology to evaluate regional innovation performance using the Multi-Reference Point based Weak and Strong Composite Indicator (MRP-WSCI) approach, which allows defining reference levels and different degrees of compensability. As an example of application to the Regional Innovation Scoreboard, the proposed technique is developed to measure the innovation performance of Spain’s regions taking into account Spanish and European reference levels. The main features of the proposed approach are: (i) absolute or relative reference levels could be previously defined by the decision maker; (ii) by establishing the reference levels, the resulting composite innovation index is an easy-to-interpret measure; and (iii) the non-compensatory strong composite indicator provides an additional layer of information for policy-making (iv) a visualization tool called Light-Diagram is proposed to track the specific strengths and weaknesses of the regions’ innovation performance.

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Section: Composite Innovation Indices: a Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain

2020

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“…In Murashova (2020) two groups of indicators, namely: "innovation potential" and "innovation performance", are developed. Hauser et al (2018) offer three aggregate innovation indexes and six innovation indicators. Bianchini and Pellegrino (2019) suggested a synthetic indicator of innovation sustainability at the level of a firm with the prospect of scaling to higher levels of management.…”

Section: Problem Statementmentioning

confidence: 99%

Impact Analysis And Prospects For Innovation Development In Russia

Tokarev¹

2021

Global Challenges and Prospects of the Modern Economic Development Proceedings of Global Challenges and Prospects of the Modern

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“…Barra believed that regional knowledge innovation is conducive to improving regional innovation capacity and promoting regional economic development [20]. Hauser et al pointed out that the development of finance contributes to the technological innovation of middle and small-sized enterprises [21]. Li et al studied the direct and indirect effects of research institution behavior on regional innovation performance [22].…”

Section: Theoretical Research On Regional Innovation Performancementioning

confidence: 99%

Identification of Influencing Factors for Sustainable Development: Evaluation and Management of Regional Innovation Performance in Heilongjiang, China

Xia

Yin

2020

Sustainability

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Although the innovation factor endowment of Heilongjiang province is relatively rich, many innovation resources cannot effectively promote the sustainable development of innovation-driven performance. The combined drift degree evaluation method and grey-DEMATEL model were used to study regional innovation performance in Heilongjiang province and the key factors influencing it. The results of this study show that the overall trend of regional innovation performance is slowly rising. Compared with other regions, the level of science and technology output is in the forefront, and the level of economic output and social effect is at the end. The innovation performance level of enterprises and research institutions is at the end position, showing a trend of slow rise and then slow decline. The innovation performance level of universities is in the middle position, showing a trend of rising first, then falling and then rising. The degree of marketization, the financial environment, the intellectual property system, the transformation of scientific and technological achievements and the level of human capital are the core factors that affect the regional innovation performance. The dominant position and leading role of regional enterprises and the cooperation between industry, university and research institutes should be strengthened through government policies.

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Measuring regional innovation: A critical inspection of the ability of single indicators to shape technological change

Cited by 42 publications

References 57 publications

A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain

A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain

Impact Analysis And Prospects For Innovation Development In Russia

Identification of Influencing Factors for Sustainable Development: Evaluation and Management of Regional Innovation Performance in Heilongjiang, China

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