En este artículo estimamos primero la totalidad de las productividades de los factores específicos de la empresa para industrias manufactureras de dos dígitos, por medio de un algoritmo semi-paramétrico y microdatos para el período 2000–2007. A continuación, para caracterizar las disparidades regionales en China, calculamos la productividad agregada en las categorías de tres tipologías regionales, basadas en criterios de densidad de población, zonas de costa e interior, y zonas rurales y urbanas. Se analizan los diferenciales de productividad entre las categorías de las tipologías mediante la descomposición del nivel de productividad regional y el crecimiento en un efecto de productividad y un efecto de composición industrial. Encontramos pruebas claras de convergencia regional. Además de la densidad de la actividad económica, las políticas recientes y los factores estructurales parecen afectar el nivel de productividad regional y los diferenciales de crecimiento."> En este artículo estimamos primero la totalidad de las productividades de los factores específicos de la empresa para industrias manufactureras de dos dígitos, por medio de un algoritmo semi-paramétrico y microdatos para el período 2000–2007. A continuación, para caracterizar las disparidades regionales en China, calculamos la productividad agregada en las categorías de tres tipologías regionales, basadas en criterios de densidad de población, zonas de costa e interior, y zonas rurales y urbanas. Se analizan los diferenciales de productividad entre las categorías de las tipologías mediante la descomposición del nivel de productividad regional y el crecimiento en un efecto de productividad y un efecto de composición industrial. Encontramos pruebas claras de convergencia regional. Además de la densidad de la actividad económica, las políticas recientes y los factores estructurales parecen afectar el nivel de productividad regional y los diferenciales de crecimiento."> En este artículo estimamos primero la totalidad de las productividades de los factores específicos de la empresa para industrias manufactureras de dos d">
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Regional disparities and productivity in China: Evidence from manufacturing micro data

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  • Marian Rizov
  • Xufei Zhang
Abstract
type="main" xml:lang="es"> En este artículo estimamos primero la totalidad de las productividades de los factores específicos de la empresa para industrias manufactureras de dos dígitos, por medio de un algoritmo semi-paramétrico y microdatos para el período 2000–2007. A continuación, para caracterizar las disparidades regionales en China, calculamos la productividad agregada en las categorías de tres tipologías regionales, basadas en criterios de densidad de población, zonas de costa e interior, y zonas rurales y urbanas. Se analizan los diferenciales de productividad entre las categorías de las tipologías mediante la descomposición del nivel de productividad regional y el crecimiento en un efecto de productividad y un efecto de composición industrial. Encontramos pruebas claras de convergencia regional. Además de la densidad de la actividad económica, las políticas recientes y los factores estructurales parecen afectar el nivel de productividad regional y los diferenciales de crecimiento.

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  • Marian Rizov & Xufei Zhang, 2014. "Regional disparities and productivity in China: Evidence from manufacturing micro data," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 321-339, June.
    • Handle: RePEc:bla:presci:v:93:y:2014:i:2:p:321-339
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    5. Marco Bee & Maria Michela Dickson & Flavio Santi, 2018. "Likelihood-based risk estimation for variance-gamma models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 69-89, March.
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    8. Liu, Yajie & Cui, Lijuan & Xiong, Yanyan & Yao, Xianguo, 2023. "Does the development of the Internet improve the allocative efficiency of production factors? Evidence from surveys of Chinese manufacturing firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 161-174.
    9. Shuo Ding, 2022. "A Comparative Analysis of Vulnerability to Poverty between Urban and Rural Households in China," Economies, MDPI, vol. 10(10), pages 1-28, October.
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