A space-time analysis of knowledge production
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DOI: 10.1007/s10109-011-0151-y
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Cited by:
- Dongwoo Kang & Sandy Dall’erba, 2016. "Exploring the spatially varying innovation capacity of the US counties in the framework of Griliches’ knowledge production function: a mixed GWR approach," Journal of Geographical Systems, Springer, vol. 18(2), pages 125-157, April.
- Iris Wanzenböck & Philipp Piribauer, 2018.
"R&D networks and regional knowledge production in Europe: Evidence from a space‐time model,"
Papers in Regional Science, Wiley Blackwell, vol. 97(S1), pages 1-24, March.
- Iris Wanzenböck & Philipp Piribauer, 2015. "R&D networks and regional knowledge production in Europe. Evidence from a space-time model," Department of Economics Working Papers wuwp207, Vienna University of Economics and Business, Department of Economics.
- Wanzenböck, Iris & Piribauer, Philipp, 2015. "R&D networks and regional knowledge production in Europe. Evidence from a space-time model," Department of Economics Working Paper Series 207, WU Vienna University of Economics and Business.
- Rodrigo Perez-Silva & Mark D. Partridge & William E. Foster, 2019. "Are foreign-born researchers more innovative? Self-selection and the production of knowledge among PhD recipients in the USA," Journal of Geographical Systems, Springer, vol. 21(4), pages 557-594, December.
- repec:elg:eechap:14395_24 is not listed on IDEAS
- Neves, Pedro Cunha & Sequeira, Tiago Neves, 2018. "Spillovers in the production of knowledge: A meta-regression analysis," Research Policy, Elsevier, vol. 47(4), pages 750-767.
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More about this item
Keywords
Spatial correlation; Dynamic panels; MCMC estimations; Knowledge production function; C11; C21; C23; O31; R11;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
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