Methodology for measuring triple helix performance
Methodology for measuring triple helix performance
Author(s): Satyendra Nath ChakrabarttySubject(s): Sociology, Social development, Social Theory, Economic development
Published by: MedCrave Group Kft.
Keywords: Triple Helix; I-distance method; Normal distribution; Geometric mean; Sustainable Development Goals JEL Classification O11 · O38 · C44;
Summary/Abstract: Successes of a country at global or local levels depend heavily on the level of collaboration between Government, Industry, and Academia. The Triple Helix (TH) concept is a shift from industry-government dyad in the Industrial Society to growing relationship among university- industry-government in the Knowledge Society. Major dimensions of Tripple helix are lifelong learning, triple transition (climate, digital, demographic), gender equality and the future of employment. Despite huge volume of literature, there is still no single comprehensive methodology for measuring TH performance. The paper proposes two methods to measure TH-performance as composite index (CI) reflecting TH-performance of a country at a given year by arithmetic aggregations where scores of Likert items are transformed to continuous, equidistant and monotonic scores, following Normal distribution (Method-1) and using multiplicative aggregation of ratio of raw score of an indicator at current year Xic and the same for the base year ( Xi0 ) and define 0 ic i i X CI X = ∏ (Method -2). Both methods satisfy desired properties including quantification of changes over time, relative importance of dimensions/components, no bias to developed or under-developed countries and finding TH-performance at world level by aggregating country-wise THscores. While arithmetic aggregation is more appealing, the multiplicative aggregation has additional features like time-reversal test, formation of chain indices, and distance from targets.
Journal: Sociology International Journal
- Issue Year: 8/2024
- Issue No: 5
- Page Range: 208-215
- Page Count: 8
- Language: English