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Measurement and Difference Analysis of Total Factor Productivity of Strategic Emerging Enterprises in China

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  • Lipeng Huang
  • Xiangyan Geng
  • Chuanming Liu

Abstract

Improving the total factor productivity of strategic emerging enterprises is of great significance for promoting the optimization and upgrading of the industrial structure and achieving high-quality economic development. Based on the data of 2,760 strategic emerging enterprises of China a-share listed companies from 2014 to 2016, this study uses Levinsohn and Pertrin(LP) method to measure the total factor productivity of China's strategic emerging enterprises, and analyzes regional differences in total factor productivity of strategic emerging enterprises. The results showed that during the sample study period, the total factor productivity of China's strategic emerging enterprises decreases first and then increases. From the perspective of different regions, the total factor productivity of strategic emerging enterprises in the four regions showed a "stepwise distribution", the total factor productivity of strategic emerging enterprises in the East, Central and Western regions showed a downward trend, and the total factor productivity of strategic emerging enterprises in the central region showed a downward trend and then an upward trend. From the perspective of regional heterogeneity, Beijing, Shanghai, Guangdong, Shandong, Jiangsu and other provinces have higher total factor productivity of strategic emerging enterprises. However, the total factor productivity of strategic emerging enterprises in Xinjiang, Gansu, Guangxi, Yunnan, Shaanxi and other provinces and cities is low. In order to promote the total factor productivity of strategic emerging enterprises, we can increase R&D investment, link financing constraint and pay attention to regional development differences.

Suggested Citation

  • Lipeng Huang & Xiangyan Geng & Chuanming Liu, 2022. "Measurement and Difference Analysis of Total Factor Productivity of Strategic Emerging Enterprises in China," International Business Research, Canadian Center of Science and Education, vol. 15(5), pages 1-78, May.
    • Handle: RePEc:ibn:ibrjnl:v:15:y:2022:i:5:p:78
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    References listed on IDEAS

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    1. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    2. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2014. "Challenges of working with the Chinese NBS firm-level data," China Economic Review, Elsevier, vol. 30(C), pages 339-352.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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