Technological Spillover & Efficiency in Central Karoo
Explore the analysis of technological spillover and technical efficiency among informal and formal innovators in the Central Karoo district. The study delves into innovation, innovation landscape in South Africa, innovation knowledge spillovers, methodology applied, DEA results, truncated regression results, and policy recommendations. Key findings include the mean technical efficiency, frequency distribution, and policy suggestions to enhance innovation activities.
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Presentation Transcript
Technological spillover and technical efficiency of informal and formal innovators in the Central Karoo district Bulagi Mushoni
introduction What is innovation? The technological spillovers and innovation. Innovation landscape in South Africa Innovation knowledge spillovers
methodology Central Karoo region The sample size of 162 innovators using snowball sampling procedure. Both the Data Envelopment Model and Truncated models were applied. Descriptive statistics of innovators.
DEA Results Frequency (%) < 20 20 - 40 40 - 60 60 - 80 80 - 99 100 Technical Efficiency 31 20 21 35 42 13 Mean Standard deviation Minimum Maximum 76 0.25 0.29 1
truncated regression results Variable Estimate Standard Error Pr(>ltl) Confidence Networking 0.113 0.068 0.099 0.348 Registration -0.022 0.013 0.008 0.213 Labour 0.005 0.022 0.815 0.240 Education -0.028 0.022 0.216 0.207 Gender 0.021 0.025 0.001 0.256 Funding 0.062 0.021 0.006 0.297 Collaboration 0.029 0.039 0.412 0.264
policy recommendation Formal and informal funding to encourage expansion on innovation activities. Investment in R&D to improve productivity and increase technological spill overs. Introduction and involvement of women in innovation activities.
