IDEAS home Printed from https://ideas.repec.org/a/cud/journl/v41y2018i115p1-18.html
   My bibliography  Save this article

Una contribución a la explicación del crecimiento económico en China. Nuevas series temporales y pruebas econométricas de varios modelos

Author

Listed:
  • Zhiming Long

    (Centre d’Économie de la Sorbonne, Maison des Sciences Economiques, Université de Paris, París, Francia)

  • Rémy Herrera

    (Centre National de la Recherche Scientifique, Centre d’Économie de la Sorbonne, Maison des Sciences Economiques, Université de Paris, París, Francia)

Abstract

Apoyándose en nuevas series estadísticas de stocks de capital físico (o instalado) y de capital humano, totalmente reconstruidas, este artículo tratará de contribuir a la mejora de las explicaciones del crecimiento económico de China en el largo plazo. Se inicia con la presentación de nuestras bases de datos originales que utilizamos más tarde, haciendo hincapié en los métodos de construcción de varios stocks de capital físico (parte 1) y de capital humano (parte 2) sobre el período de 1952 a 2012. Luego se ofrecen estimaciones econométricas, teniendo en cuenta los cambios institucionales que han caracterizado esta trayectoria de crecimiento, y llevadas a cabo en el marco de una larga gama de modelos teóricos que van desde especificaciones solowianas estándar o aumentadas hasta formalizaciones linealizadas de crecimiento endógeno, incluyendo indicadores de investigación y desarrollo (I&D) para aclarar la cuestión de las contribuciones factoriales al crecimiento del PIB de China en el largo plazo (parte 3).

Suggested Citation

  • Zhiming Long & Rémy Herrera, 2018. "Una contribución a la explicación del crecimiento económico en China. Nuevas series temporales y pruebas econométricas de varios modelos," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 41(115), pages 1-18, Enero.
  • Handle: RePEc:cud:journl:v:41:y:2018:i:115:p:1-18
    as

    Download full text from publisher

    File URL: https://repositorio.uam.es/bitstream/handle/10486/690814/CE_41_115_1.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Econometría; Crecimiento; Capital físico; Capital humano; I&D; China;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • N15 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Asia including Middle East
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cud:journl:v:41:y:2018:i:115:p:1-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Erick Tinsson (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.