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Meta-Frontier Analysis of Disclosing Sustainable Development Information: Evidence from China’s AI Industry

Author

Listed:
  • An-Chi Liu

    (College of Business Administration, Fujian Business University, Fuzhou 350016, China)

  • Junyi Wang

    (New Huadu Business School, Minjiang University, Fuzhou 350108, China)

  • Yiting Zhan

    (New Huadu Business School, Minjiang University, Fuzhou 350108, China)

  • Chien-Jung Li

    (Department of Finance, Tunghai University, Taichung 407224, Taiwan)

  • Yang Li

    (Department of International Business, National Taiwan University, Taipei 10617, Taiwan)

Abstract

China currently adopts voluntary principles to disclose sustainable development information, and so considerable numbers of listed companies have chosen not to disclose such information. Since disclosure and non-disclosure groups face different production opportunities, this research uses the meta-frontier framework to completely analyze sustainable development practices of China’s artificial intelligence (AI) industry. Empirical results show that the disclosure group outperforms the non-disclosure group in operating scales, efficiencies, and technologies, while the superior efficiency of state-owned enterprises (SOEs) comes entirely from the non-disclosure group. Hence, the government should mandate or actively encourage capable corporations, especially SOEs, to disclose sustainable development information, as doing so improves the overall sustainable development of society and also enhances these firms’ performance. Finally, the authority can formulate a nationwide disclosure policy regardless of the existing differences in regional development.

Suggested Citation

  • An-Chi Liu & Junyi Wang & Yiting Zhan & Chien-Jung Li & Yang Li, 2021. "Meta-Frontier Analysis of Disclosing Sustainable Development Information: Evidence from China’s AI Industry," Energies, MDPI, vol. 14(19), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6139-:d:643947
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    References listed on IDEAS

    as
    1. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    2. Matthew W. Sherwood & Julia L. Pollard, 2018. "The risk-adjusted return potential of integrating ESG strategies into emerging market equities," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 8(1), pages 26-44, January.
    3. Gunnar Friede & Timo Busch & Alexander Bassen, 2015. "ESG and financial performance: aggregated evidence from more than 2000 empirical studies," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 5(4), pages 210-233, October.
    4. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    5. Li Liu & Gary Gang Tian, 2021. "Mandatory CSR disclosure, monitoring and investment efficiency: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 595-644, March.
    6. Graff Zivin Joshua & Small Arthur, 2005. "A Modigliani-Miller Theory of Altruistic Corporate Social Responsibility," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-21, May.
    7. Li Cai & Chaohua He, 2014. "Corporate Environmental Responsibility and Equity Prices," Journal of Business Ethics, Springer, vol. 125(4), pages 617-635, December.
    8. Chen, Ying-Hsiu & Lai, Po-Lin & Piboonrungroj, Pairach, 2017. "The relationship between airport performance and privatisation policy: A nonparametric metafrontier approach," Journal of Transport Geography, Elsevier, vol. 62(C), pages 229-235.
    9. Saeidi, Sayedeh Parastoo & Sofian, Saudah & Saeidi, Parvaneh & Saeidi, Sayyedeh Parisa & Saaeidi, Seyyed Alireza, 2015. "How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction," Journal of Business Research, Elsevier, vol. 68(2), pages 341-350.
    10. Ting, Pi-Hui, 2021. "Do large firms just talk corporate social responsibility? - The evidence from CSR report disclosure," Finance Research Letters, Elsevier, vol. 38(C).
    11. Remmer Sassen & Anne-Kathrin Hinze & Inga Hardeck, 2016. "Impact of ESG factors on firm risk in Europe," Journal of Business Economics, Springer, vol. 86(8), pages 867-904, November.
    12. Jun Xie & Wataru Nozawa & Michiyuki Yagi & Hidemichi Fujii & Shunsuke Managi, 2019. "Do environmental, social, and governance activities improve corporate financial performance?," Business Strategy and the Environment, Wiley Blackwell, vol. 28(2), pages 286-300, February.
    13. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    14. Shih-wei Wu & Fengyi Lin & Chia-ming Wu, 2014. "Corporate Social Responsibility and Cost of Capital: An Empirical Study of the Taiwan Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(S1), pages 107-120.
    15. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    16. Yang Li & Yi-Kai Chen & Feng Sheng Chien & Wen Chih Lee & Yi Ching Hsu, 2016. "Study of optimal capital adequacy ratios," Journal of Productivity Analysis, Springer, vol. 45(3), pages 261-274, June.
    17. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    18. C-W Huang & C-T Ting & C-H Lin & C-T Lin, 2013. "Measuring non-convex metafrontier efficiency in international tourist hotels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(2), pages 250-259, February.
    19. B. Charumathi & Latha Ramesh, 2020. "Impact of Voluntary Disclosure on Valuation of Firms: Evidence from Indian Companies," Vision, , vol. 24(2), pages 194-203, June.
    20. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    21. Scott Jeffrey & Stuart Rosenberg & Brianna McCabe, 2018. "Corporate social responsibility behaviors and corporate reputation," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 15(3), pages 395-408, October.
    22. Pham, Hanh Song Thi & Tran, Hien Thi, 2020. "CSR disclosure and firm performance: The mediating role of corporate reputation and moderating role of CEO integrity," Journal of Business Research, Elsevier, vol. 120(C), pages 127-136.
    23. Shih-wei Wu & Fengyi Lin & Chia-ming Wu, 2014. "Corporate Social Responsibility and Cost of Capital: An Empirical Study of the Taiwan Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1S), pages 107-120, January.
    24. SeHyun Park, 2017. "Corporate social responsibility, visibility, reputation and financial performance: empirical analysis on the moderating and mediating variables from Korea," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 13(4), pages 856-871, October.
    25. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    26. Ahreum Hong & Daeho Lee & Junseok Hwang, 2011. "Metafrontier Production Function Analysis of Horizontal and Vertical Integration in Korea's Cable TV Industry," Journal of Media Economics, Taylor & Francis Journals, vol. 24(4), pages 221-236, November.
    27. Li, Yang, 2020. "Analyzing efficiencies of city commercial banks in China: An application of the bootstrapped DEA approach," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    28. Carlos Barros & Fernando Alves, 2004. "Productivity in the tourism industry," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 10(3), pages 215-225, October.
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    Cited by:

    1. Jin-Li Hu, 2022. "Green Energy Economies Are Continually On-Going," Energies, MDPI, vol. 15(13), pages 1-3, June.

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