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The performance of green innovation: From an efficiency perspective

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  • Zhao, Nan
  • Liu, Xiaojie
  • Pan, Changfeng
  • Wang, Chenyang

Abstract

In this new stage of global economic development, we hope to achieve both economic development and environmental improvements via innovation. Green innovation aims to meet the dual goals of economic development and ecological protection. The scientific evaluation of the performance of China's green innovation appears to be quite meaningful. Some studies have evaluated the performance of green innovation, but are limited by the use of a single efficiency measurement method. To fill this research gap, this article uses a combination of two methods to evaluate green innovation efficiency, which provides a more precise evaluation of efficiency. Specifically, this article uses the vertical-and-horizontal scatter degree method to construct a pollutant index and then sets that index as the undesirable output in a slacks-based measure (SBM) model to evaluate efficiency. To further study the regional differences in green innovation efficiency, this article uses a convergence model. Most existing convergence analyses ignore spatial elements. Focusing on the influence of spatial factors, this article introduces a spatial econometric model into the convergence analyses. This article draws the following main conclusions. (i) The efficiency of green innovation in the country as a whole has been increasing each year, and green innovation efficiency in the central and western regions has increased significantly. (ii) Regional differences have narrowed each year. (iii) Green innovation efficiency is significantly positively spatially correlated, which is reflected in the spatial agglomeration of regions with the same efficiency level. (iv) Green innovation efficiency exhibits σ-convergence and spatial conditional β-convergence. (iv) Spatial factors accelerate the convergence of green innovation efficiency.

Suggested Citation

  • Zhao, Nan & Liu, Xiaojie & Pan, Changfeng & Wang, Chenyang, 2021. "The performance of green innovation: From an efficiency perspective," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
  • Handle: RePEc:eee:soceps:v:78:y:2021:i:c:s0038012121000549
    DOI: 10.1016/j.seps.2021.101062
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    5. Huang, Fei & Ren, Yuheng, 2024. "Harnessing the green frontier: The impact of green finance reform and digitalization on corporate green innovation," Finance Research Letters, Elsevier, vol. 66(C).
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    7. Wu, Jiaxi & Wang, Shali & Zhang, Rui & Zhao, Meilin & Sun, Xialing & Qie, Xiaotong & Wang, Yue, 2025. "Measurement of green innovation efficiency in Chinese listed energy-intensive enterprises based on the three stage Super-SBM model," International Review of Economics & Finance, Elsevier, vol. 97(C).
    8. Ying Jiang & Jin Xu & Guofei Wang, 2024. "Trade in green patents: How do green technologies flow in China?," The Journal of Technology Transfer, Springer, vol. 49(3), pages 823-856, June.
    9. Yihao Cao & Ehsan Elahi & Zainab Khalid & Ping Li & Pengsheng Sun, 2023. "How Do Intellectual Property Rights Affect Green Technological Innovation? Empirical Evidence from China," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    10. Jiao Feng & Nannan Wang & Guoshuai Sun, 2022. "Measurement of Innovation-Driven Development Performance of Large-Scale Environmental Protection Enterprises Investing in Public–Private Partnership Projects Based on the Hybrid Method," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
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    13. Li, Lanbing & Zhao, Jiawei & Yang, Yuhan & Ma, Dan, 2025. "Artificial intelligence and green development well-being: Effects and mechanisms in China," Energy Economics, Elsevier, vol. 141(C).
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    15. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    16. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    17. Xiaoli Hao & Qingyu Sun & Ke Li & Yan Xue & Haitao Wu, 2025. "Can CSR effectively promote corporate green innovation efficiency?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(7), pages 17525-17555, July.
    18. Weisong Mi & Kaixu Zhao & Pei Zhang, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Green Innovation in China," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    19. Sohail Ahmad Javeed & Xiang Cai & Rashid Latief, 2025. "Driving sustainable growth by unlocking the power of digital finance functions: the moderation of environmental regulations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(4), pages 8525-8555, April.

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