The Measurement Of Hierarchically Spatial Industrial Knowledge Spillover Effects
| Autor: | Qianting Ye |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Knowledge Spillover
Hierarchically Spatial Model GMM Estimation Cobb -Douglas Production Function Industrial production 05 social sciences Cobb–Douglas production function Economic reality Knowledge spillover Spillover effect Autoregressive model 0502 economics and business Econometrics Economics 050207 economics 050205 econometrics Panel data |
| DOI: | 10.5281/zenodo.1299940 |
| Popis: | Based on the “year–region–industry” three - dimensional unbalanced industrial production panel data of Guangdong Province in China from 2005-2013, the relationship between knowledge spillovers and industrial structure is investigated by hierarchically spatial lagged with spatial autoregressive error (HSARAR) model. The empirical results indicate that the impacts of MAR, Jacobs, and Porter spillover on Guangdong's industry economic growth is positive and statistically significant. The industrial HSARAR model considers the hierarchical structure and spatial effect simultaneously, which has a better description on economic reality than the pooled model and SARAR model. |
| Databáze: | OpenAIRE |
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