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Technical Change and Total Factor Productivity Growth for Chinese Provinces: A Panel Data Analysis

Author

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  • Shiu, Alice

    (Hong Kong Polytechnic University)

  • Heshmati, Almas

    (Jönköping University)

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.

Suggested Citation

  • Shiu, Alice & Heshmati, Almas, 2006. "Technical Change and Total Factor Productivity Growth for Chinese Provinces: A Panel Data Analysis," IZA Discussion Papers 2133, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp2133
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    2. Abolfazl Shahabadi & Fatemeh Kimiaei & Mohammad Arbab Afzali, 2018. "The Evaluation of Impacts of Knowledge-Based Economy Factors on the Improvement of Total Factor Productivity (a Comparative Study of Emerging and G7 Economies)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 896-907, September.
    3. Dong Guo & Sandy Dall’erba & Julie Le Gallo, 2013. "The Leading Role of Manufacturing in China’s Regional Economic Growth," International Regional Science Review, , vol. 36(2), pages 139-166, April.
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    5. Khaled Elmawazini, 2014. "FDI Spillovers, Efficiency Change and Host Country Labor Productivity: Evidence from GCC Countries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(4), pages 399-411, December.
    6. Wang, Lan-Hsun & Liao, Shu-Yi & Huang, Mao-Lung, 2022. "The growth effects of knowledge-based technological change on Taiwan’s industry: A comparison of R&D and education level," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 525-545.
    7. Khaled Elmawazini & Elias G. Saleeby & Ahmed Ibn el Farouk & Bashayer AL-Naser, 2018. "Tripartite decomposition of labor productivity growth, FDI and human development: evidence from transition economies," Economic Change and Restructuring, Springer, vol. 51(2), pages 153-171, May.
    8. Heshmati, Almas & Davis, Rhona, 2007. "The Determinants of Foreign Direct Investment Flows to the Federal Region of Kurdistan," IZA Discussion Papers 3218, Institute of Labor Economics (IZA).
    9. Galymkair Mutanov & Aziza Zhuparova & Dinara Zhaisanova, 2020. "Measuring the Knowledge-Based Performance Efficiency in the Oil-Exported Countries," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 16(3), pages 109-122.
    10. Almas Heshmati & Sun Peng, 2012. "International Trade And Its Effects On Economic Performance In China," China Economic Policy Review (CEPR), World Scientific Publishing Co. Pte. Ltd., vol. 1(02), pages 1-26.
    11. Chen, Ku-Hsieh & Huang, Yi-Ju & Yang, Chih-Hai, 2009. "Analysis of regional productivity growth in China: A generalized metafrontier MPI approach," China Economic Review, Elsevier, vol. 20(4), pages 777-792, December.
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    More about this item

    Keywords

    technical change; TFP growth; provinces; China; ICT; FDI; infrastructure;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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