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R&D status and the performance of domestic firms in China's coal mining industry

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  • Sun, Sizhong
  • Anwar, Sajid

Abstract

Coal use accounts for a very large proportion of electricity production in China. Using a recently developed coarsened exact matching (CEM) technique, this paper examines the impact of research and development (R&D) activities on the performance of firms in China's coal mining industry. Our empirical results reveal that firms in China's coal industry that conduct R&D are more productive and their sales are higher. However, as far as the firm profitability and market shares are concerned, whether or not a firm in China's coal industry conducts R&D makes no difference. We find that foreign direct investment in China's coal mining industry leads to a significant decrease in the market share of domestic firms and its impact on productivity, sales and profitability of domestic firms is insignificant. The empirical results presented in this paper suggest that policies that encourage domestic firms in China's coal mining industries to conduct R&D can increase domestic production thereby reducing reliance on imports. Furthermore, productivity gains arising from R&D activities can also help Chinese mining firms to improve their competitive position in the international market. However, there is a need for restricting foreign direct investment in China's coal mining industry.

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  • Sun, Sizhong & Anwar, Sajid, 2015. "R&D status and the performance of domestic firms in China's coal mining industry," Energy Policy, Elsevier, vol. 79(C), pages 99-103.
  • Handle: RePEc:eee:enepol:v:79:y:2015:i:c:p:99-103
    DOI: 10.1016/j.enpol.2015.01.004
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    2. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2018. "Coal miners’ livelihood vulnerability to economic shock: Multi-criteria assessment and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 301-314.
    3. Laura Cabeza-García & Esther B. Brío & Carlos Rueda, 2021. "The moderating effect of innovation on the gender and performance relationship in the outset of the gender revolution," Review of Managerial Science, Springer, vol. 15(3), pages 755-778, April.
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    5. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    6. Dzonzi-Undi, Junice & Li, Shixiang, 2016. "Safety and environmental inputs investment effect analysis: Empirical study of selected coal mining firms in China," Resources Policy, Elsevier, vol. 47(C), pages 178-186.
    7. Wang, Delu & Ma, Gang & Song, Xuefeng & Liu, Yun, 2017. "Energy price slump and policy response in the coal-chemical industry district: A case study of Ordos with a system dynamics model," Energy Policy, Elsevier, vol. 104(C), pages 325-339.
    8. Imen Tebourbi & Irene Wei Kiong Ting & Hanh Thi My Le & Qian Long Kweh, 2020. "R&D investment and future firm performance: The role of managerial overconfidence and government ownership," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1269-1281, October.
    9. Yixiao Zhou & Runyang Zhang & Ligang Song, 2019. "How Funding Structure Affects Efficiency Of R&D Investment By Large- And Medium-Sized Industrial Firms In China? Evidence From Province-Level Panel Data," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 921-938, September.
    10. Lubing Xie & Xiaoming Rui & Shuai Li & Xiaozhao Fan & Ruijing Shi & Guohua Li, 2018. "A Critical Analysis on Influential Factors on Power Energy Resources in China," Modern Applied Science, Canadian Center of Science and Education, vol. 12(2), pages 1-1, February.
    11. Sun, Sizhong & Anwar, Sajid, 2019. "R&D activities and FDI in China’s iron ore mining industry," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 47-56.
    12. Rafiq, Shuddhasattwa & Salim, Ruhul & Smyth, Russell, 2016. "The moderating role of firm age in the relationship between R&D expenditure and financial performance: Evidence from Chinese and US mining firms," Economic Modelling, Elsevier, vol. 56(C), pages 122-132.
    13. Wu, Yunna & Xiao, Xinli & Song, Zongyun, 2017. "Competitiveness analysis of coal industry in China: A diamond model study," Resources Policy, Elsevier, vol. 52(C), pages 39-53.

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