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R&D Efforts, Total Factor Productivity, and the Energy Intensity in China

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  • Xiaobo Shen
  • Boqiang Lin
  • Wei Wu

Abstract

This paper first measures the levels and growths of regional TFP in China using a panel dataset of China’s 30 provinces from 1978–2014. It then estimates the effects of R&D on regional TFP and its growth further explores the impact of TFP on China’s energy intensity. We find no evidence that R&D has innovation and spillover effects on TFP and its growth in China’s provinces. Nevertheless, R&D can promote growth in regional TFP by helping to absorb new technologies embodied in FDI and foreign trade. The results indicate that TFP plays a significant role in the decline of China’s energy intensity.

Suggested Citation

  • Xiaobo Shen & Boqiang Lin & Wei Wu, 2019. "R&D Efforts, Total Factor Productivity, and the Energy Intensity in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(11), pages 2566-2588, September.
    • Handle: RePEc:mes:emfitr:v:55:y:2019:i:11:p:2566-2588
    DOI: 10.1080/1540496X.2019.1579709
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    Cited by:

    1. Shen, Zhiyang & Wu, Haitao & Bai, Kaixuan & Hao, Yu, 2022. "Integrating economic, environmental and societal performance within the productivity measurement," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Feng, Yanchao & Zhang, Juan & Geng, Yong & Jin, Shurui & Zhu, Ziyi & Liang, Zhou, 2023. "Explaining and modeling the reduction effect of low-carbon energy transition on energy intensity: Empirical evidence from global data," Energy, Elsevier, vol. 281(C).
    3. Santosh Kumar Sahu & Prantik Bagchi & Ajay Kumar & Kim Hua Tan, 2022. "Technology, price instruments and energy intensity: a study of firms in the manufacturing sector of the Indian economy," Annals of Operations Research, Springer, vol. 313(1), pages 319-339, June.
    4. Halkos, George & Moll de Alba, Jaime & Todorov, Valentin, 2021. "Analyzing manufacturing sector and selected development challenges: A panel data analysis," Energy, Elsevier, vol. 235(C).
    5. Zhaodan Wu & Yi Zhang & Yu Hua & Quanliang Ye & Lixiao Xu & Shiqi Wang, 2020. "An Improved System Dynamics Model to Evaluate Regional Water Scarcity from a Virtual Water Perspective: A Case Study of Henan Province, China," Sustainability, MDPI, vol. 12(18), pages 1-35, September.
    6. Lin, Boqiang & Guan, Chunxu, 2023. "Evaluation and determinants of total unified efficiency of China's manufacturing sector under the carbon neutrality target," Energy Economics, Elsevier, vol. 119(C).
    7. Kamalova Mariyakhan & Elyas Abdulahi Mohamued & Muhammad Asif Khan & József Popp & Judit Oláh, 2020. "Does the Level of Absorptive Capacity Matter for Carbon Intensity? Evidence from the USA and China," Energies, MDPI, vol. 13(2), pages 1-18, January.
    8. Bhattacharya, Mita & Okafor, Luke Emeka & Pradeep, V., 2021. "International firm activities, R&D, and productivity: Evidence from Indian manufacturing firms," Economic Modelling, Elsevier, vol. 97(C), pages 1-13.
    9. Zhang, Dongyang, 2021. "Green credit regulation, induced R&D and green productivity: Revisiting the Porter Hypothesis," International Review of Financial Analysis, Elsevier, vol. 75(C).
    10. Shaohua Zhang & Tzu-Pu Chang & Li-Chuan Liao, 2020. "A Dual Challenge in China’s Sustainable Total Factor Productivity Growth," Sustainability, MDPI, vol. 12(13), pages 1-17, July.
    11. Khanna, Rupika & Sharma, Chandan, 2021. "Do technological investments promote manufacturing productivity? A firm-level analysis for India," Economic Modelling, Elsevier, vol. 105(C).

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