Admitted to PhD Programme: 2016-02-01
Assistant supervisor:Markus Grillitsch
Ongoing research projects
What kind of related variety for long-term regional growth? (with Mikhail Martynovich)
We investigate the evolution of relatedness linkages between Swedish industries during five sub-periods between 1991 and 2010. Distinguishing between the stable ties (present in all sub-periods) and non-stable ties (emerging, disappearing, etc.), we demonstrate that the relatedness linkages change considerably over time. Furthermore, we show that the changes in the relatedness matrix matter for the impact of related variety on regional employment growth. We argue, therefore, that the relatedness linkages have a ‘best before date’ and that the choice of what relatedness indicator to apply and how deserves more consideration than it is usually given.
I teach quantitative methods and GIS on several bachelor and master level courses at the Department. In addition, I teach an introductory quantitative methods course to master students at Graduate School at the Faculty of Social Sciences.
SGEA23 Human Geography, Level 2 (Quantitative Methods, B-thesis course coordinator)
SGEK03 Human Geography: Bachelor Thesis (Quantitative Methods)
UTVC24 Development Studies: Theory of Science and Research Methods: An Introduction (Quantitative Methods)
SGEL34 GIS: Theoretical and Practical Applications within Planning
SGER43 GIS: Geographical Information System for the Social Sciences
SGER44 GIS: Geographical Information System for the Social Sciences, Advanced Applications
SIMM16 Introduction to Quantitative Methods
SIMM29 Evaluation Research - Theories and Methods
Kuusk, K. and Martynovich, M. (forthcoming)Dynamic Nature of Relatedness, or What Kind of Related Variety for Long‐Term Regional Growth. Tijdschrift voor Economische en Sociale Geografie
Kuusk, K. and Martynovich, M. (2018)What kind of related variety for long-term regional growth?Papers in Evolutionary Economic Geography No 18.34
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