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

A contribution to explaining economic growth in China: New time seriesand econometric tests of various models
Authors: Long, Zhiming; Herrera, Rémy;

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

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).

Supported by new statistical series on stocks of physical capital and of human capi-tal built for the occasion, this article attempts to improve the explanation of China’s economicgrowth in the long term. It begins by presenting the original databases that will be used later, emphasising the construction methods of different stocks of physical capital (Part 1) and stocksof human capital (Part 2) for China in the period from 1952 to 2012. It then offers econometricestimates made within the framework of a broad range of theoretical models, ranging fromstandard or augmented Solowian specifications until more or less sophisticated linearised for-malisations of endogenous growth, with research-and-development (R&D) indicators, in orderto clarify the question of the factors that contribute to the long-term Chinese GDP growth (Part 3).

Countries
Spain, France
Keywords

and Organizing Macroeconomic Data • Data Access, China, JEL: E - Macroeconomics and Monetary Economics/E.E1 - General Aggregative Models/E.E1.E13 - Neoclassical, JEL: O - Economic Development, 330, Estimating, Crecimiento, Economía, JEL: N - Economic History/N.N1 - Macroeconomics and Monetary Economics • Industrial Structure • Growth • Fluctuations/N.N1.N15 - Asia including Middle East, JEL: J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J24 - Human Capital • Skills • Occupational Choice • Labor Productivity, and Growth/O.O1 - Economic Development/O.O1.O11 - Macroeconomic Analyses of Economic Development, I&D, Innovation, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Capital humano, Saving, JEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C22 - Time-Series Models • Dynamic Quantile Regressions • Dynamic Treatment Effect Models • Diffusion Processes, Production, Labor Markets, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Technological Change, and Growth/O.O5 - Economywide Country Studies/O.O5.O53 - Asia including Middle East, and Informal Economy/E.E2.E22 - Investment • Capital • Intangible Capital • Capacity, JEL: C - Mathematical and Quantitative Methods/C.C8 - Data Collection and Data Estimation Methodology • Computer Programs/C.C8.C82 - Methodology for Collecting, Investment, Econometría, JEL: E - Macroeconomics and Monetary Economics/E.E2 - Consumption, Capital físico

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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