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Granger causality test on R&D spatial spillovers and productivity growth

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  • Wen-Cheng Lu
  • Jong-Rong Chen
  • Chia-Ling Wang

Abstract

This paper uses panel data of Taiwanese electronics firms to investigate the Granger causality relationship between R&D and productivity growth, while taking into account the effect of R&D spatial spillovers. Unlike previous studies, the R&D spatial spillover effect is calculated by a geographic formula of longitude and latitude. Before determining the direction of causality between the TFP growth and R&D effort, we execute the panel unit root test to examine the stationarity of the data. Results indicate that all variables in the model are stationary, and that R&D stock and R&D spatial spillovers Granger cause productivity growth.

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  • Wen-Cheng Lu & Jong-Rong Chen & Chia-Ling Wang, 2006. "Granger causality test on R&D spatial spillovers and productivity growth," Applied Economics Letters, Taylor & Francis Journals, vol. 13(13), pages 857-861.
    • Handle: RePEc:taf:apeclt:v:13:y:2006:i:13:p:857-861
    DOI: 10.1080/13504850500425360
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    References listed on IDEAS

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    1. Chihwa Kao & Min‐Hsien Chiang & Bangtian Chen, 1999. "International R&D Spillovers: An Application of Estimation and Inference in Panel Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 691-709, November.
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    1. Claudio Bravo Ortega & Álvaro García Marín, 2008. "Exploring the Relationship Between R&D and Productivity: A Country-Level Study," Working Papers Central Bank of Chile 472, Central Bank of Chile.
    2. Jenn-Hong Tang & Cheng-Chung Lai & Eric Lin, 2009. "Military Expenditure And Unemployment Rates: Granger Causality Tests Using Global Panel Data," Defence and Peace Economics, Taylor & Francis Journals, vol. 20(4), pages 253-267.
    3. Zhenhua Chen & Kingsley B. Haynes, 2014. "Regional Economic Output and Public Surface Transportation Infrastructure: A Spatial Granger Approach," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 263-279, Winter.
    4. Khaled Elmawazini, 2014. "FDI Spillovers, Efficiency Change and Host Country Labor Productivity: Evidence from GCC Countries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(4), pages 399-411, December.
    5. Marcella Nicolini & Alessia Paccagnini, 2011. "Does Trade Foster Institutions?," Open Access publications 10197/7587, School of Economics, University College Dublin.
    6. Marcella Nicolini & Alessia Paccagnini, 2011. "Does Trade Foster Institutions? An Empirical Assessment," Review of Economics and Institutions, Università di Perugia, vol. 2(2).
    7. Feng, Ping & Ke, Shanzi, 2016. "Self-selection and performance of R&D input of heterogeneous firms: Evidence from China's manufacturing industries," China Economic Review, Elsevier, vol. 41(C), pages 181-195.
    8. Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).
    9. Bravo-Ortega, Claudio & García Marín, Álvaro, 2011. "R&D and Productivity: A Two Way Avenue?," World Development, Elsevier, vol. 39(7), pages 1090-1107, July.

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