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Convergence, technological interdependence and spatial externalities: a spatial dynamic panel data analysis

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  • Shengrong Lu
  • Yanwu Wang

Abstract

This study adopts a spatial dynamic panel data approach and spatial quasi-maximum likelihood to re-estimate the speed of growth convergence in 91 countries based on technological interdependence and spatial externalities. We perform a conditional Lagrange multiplier test for spatial error dependence and find some differences to previous studies. First, the switch from a cross-sectional to a dynamic panel data framework enables the estimated rate of conditional convergence to be higher, more accurate and more appropriate for realistic and theoretical expectations. Second, the spatial Durbin model (SDM) is a general form of simplified model that considers spatial error correlation, and its likelihood ratio test for the theoretical model of 'learning by doing' effect provides further evidence. Finally, statistical tests find that spatial correlation not only occurs in each variable, but also appears in the error term. Thus, the SDM does not exist in the assumptions associated with the spatial error, which are not necessarily correct.

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  • Shengrong Lu & Yanwu Wang, 2015. "Convergence, technological interdependence and spatial externalities: a spatial dynamic panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 47(18), pages 1833-1846, April.
  • Handle: RePEc:taf:applec:v:47:y:2015:i:18:p:1833-1846
    DOI: 10.1080/00036846.2014.1000523
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    Cited by:

    1. Dimitris KALLIORAS & Nickolaos TZEREMES & Panayiotis TZEREMES & Maria ADAMAKOU, 2021. "Technological Change, Technological Catch-Up And Market Potential: Evidence From The Eu Regions," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 135-151, June.
    2. Xianbo Wu & Xiaofeng Hui, 2021. "Economic Dependence Relationship and the Coordinated & Sustainable Development among the Provinces in the Yellow River Economic Belt of China," Sustainability, MDPI, vol. 13(10), pages 1-15, May.
    3. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    4. Shigeno, Hidenori & Bunno, Teruyuki & Abu Taher, Sheikh & Tsuji, Masatsugu, 2020. "R&D and ICT in the Innovation Process of Japanese Innovative SMEs: Panel Data Analysis Based on Firm-Level Survey Data," ITS Conference, Online Event 2020 224875, International Telecommunications Society (ITS).

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