Technical Change and Total Factor Productivity Growth for Chinese Provinces: A Panel Data Analysis
Alice Shiu () and
Almas Heshmati ()
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Alice Shiu: Hong Kong Polytechnic University, Postal: School of Accounting and Finance, The Hong Kong Polytechnic University, Room M805, Li Ka Shing Tower, Hung Hom, Kowloon, Hong Kong
No 98, Ratio Working Papers from The Ratio Institute
Abstract:
We present in this paper the panel econometrics estimation approach of measuring the technical change and total factor productivity (TFP) growth of 30 Chinese provinces during the period of 1993 to 2003. The random effects model with heteroscedastic variances has been used for the estimation of the translog production functions. Two alternative formulations of technical change measured by the single time trend and the general index approach are used. Based on the measures of technical change, estimates of TFP growth could be obtained and its determinants were examined using regression analysis. The parametric TFP growth measure is compared with the non-parametric Solow residual. TFP has recorded positive growth for all provinces during the sample period. Regional breakdown shows that the eastern and central regions have higher average TFP growth when compared with the western region. Foreign direct investment (FDI) and information and communication technology (ICT) investment are found to be significant factors contributing to the TFP difference. While these two factors are found to have significant influence on TFP, their influence on production is relatively small compared to traditional inputs of production.
Keywords: technical change; TFP growth; provinces; China; ICT; FDI; infrastructure (search for similar items in EconPapers)
JEL-codes: C23 D24 E22 O18 O47 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2006-05-12
New Economics Papers: this item is included in nep-cna, nep-dev, nep-eff and nep-sea
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Citations: View citations in EconPapers (14)
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Working Paper: Technical Change and Total Factor Productivity Growth for Chinese Provinces: A Panel Data Analysis (2006) 
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