2012
DOI: 10.1016/j.techfore.2011.08.005
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Productivity in China's high technology industry: Regional heterogeneity and R&D

Abstract: This paper analyzes the impact of Research and Development (R&D) on the productivity of China's high technology industry. In order to capture important differences in the effect of R&D on output that arise from geographic and socioeconomic differences across three major regions in China, we use a novel semiparametric approach that allows us to model heterogeneities across provinces and time. Using a unique provincial level panel dataset spanning the period 2000-2007, we find that the impact of R&D on output va… Show more

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Cited by 67 publications
(38 citation statements)
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References 31 publications
(48 reference statements)
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“…Next to each density distribution plot is the 45°plot that shows the statistical significance of these estimates. As a complementary graphical tool to the density distribution, the 45°plot conveys rich statistical information about coefficient estimates (Zhang et al, 2012;Henderson et al, 2012). The black dots that form a 45°line in the graph represent the estimated coefficients for all observations.…”
Section: Heterogeneous Coefficient Estimatesmentioning
confidence: 99%
“…Next to each density distribution plot is the 45°plot that shows the statistical significance of these estimates. As a complementary graphical tool to the density distribution, the 45°plot conveys rich statistical information about coefficient estimates (Zhang et al, 2012;Henderson et al, 2012). The black dots that form a 45°line in the graph represent the estimated coefficients for all observations.…”
Section: Heterogeneous Coefficient Estimatesmentioning
confidence: 99%
“…This model follows the approach of Li et al (2002) and Zhang et al (2012) where a number of environmental variables included in Z affect the firm's ability to transform inputs into outputs. If the shift in production function is neutral these environmental factors can be introduced in the intercept parameter and if non-neutral they influence productivity via all other covariates as in (1).…”
Section: Econometric Modelmentioning
confidence: 99%
“…In addition it requires smaller sample size to obtain reliable estimation compared to its nonparametric counterpart. The issue of regional heterogeneity and impact of R&D on productivity of high tech industry at the provincial level in China is investigated by Zhang et al (2012) using a semiparametric approach. In their model the impact of R&D on output is found to vary across different regions.…”
Section: Introductionmentioning
confidence: 99%
“…Ako príklad podobnej aplikácie je možné uviesť analýzu vykonanú v podmienkach Čínskej ľudovej republiky (ČLR), prostredníctvom ktorej bol identifi kovaný efekt úrovne vedecko-technického pokroku na celkovú produktivitu troch hlavných čínskych regió-nov (Zhang et al 2012). Autori pri odhade modelu fi xných efektov využili panelovú štruktúru dát pre 11 provincií západnej Číny, 8 provincií strednej Číny a 10 provincií východnej Číny počas rokov [2000][2001][2002][2003][2004][2005][2006][2007].…”
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“…Pre uvedený test homogenity bol použitý model panelových dát s fi xnými efektmi (podobne ako bol použitý v práci Zhang et al, 2012), ktorý implicitne predpokladá rovnaké parametre pre všetky prierezové jednotky. Rozdiely hodnôt absolútneho člena odhadnuté prostredníctvom fi xných efektov je možné interpretovať ako regionálne rozdiely v úrovni celkovej produktivity faktorov.…”
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