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Threshold Effect of Industry Heterogeneity on Green Innovation Efficiency: Evidence From China

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  • Congjia Huo
  • Lingming Chen
  • Peipei Dong

Abstract

We scientifically evaluate the efficiency of green innovation in the industry, analyze its changes and development, and study the impact of industry heterogeneity on it. Which will help us grasp the efficiency of green innovation at the industry level, also provides a scientific basis for formulating relevant environmental regulations. Based on industry heterogeneity and green innovation efficiency, this first analyzes industry panel data from 2005 to 2014 in China for 35 industries. It then uses the entropy weight method to calculate the industry heterogeneity and green innovation efficiency of the industry in China. Then, environmental regulations are taken as threshold variables to empirically analyze the correlation between industry heterogeneity and green innovation efficiency. The study found a significant twofold threshold effect that links industry heterogeneity and green innovation efficiency, showing an “inverted N-type†result. Industry heterogeneity negatively impacts green innovation efficiency when the environmental regulation strength is at a higher interval rank and a lower level. However, industry heterogeneity negatively affects the intermediate level of green innovation efficiency.

Suggested Citation

  • Congjia Huo & Lingming Chen & Peipei Dong, 2022. "Threshold Effect of Industry Heterogeneity on Green Innovation Efficiency: Evidence From China," SAGE Open, , vol. 12(2), pages 21582440221, June.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:2:p:21582440221105478
    DOI: 10.1177/21582440221105478
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    1. Edmund Merem & Bennetta Robinson & Joan M. Wesley & Sudha Yerramilli & Yaw A. Twumasi, 2010. "Using GIS in Ecological Management: Green Assessment of the Impacts of Petroleum Activities in the State of Texas," IJERPH, MDPI, vol. 7(5), pages 1-30, May.
    2. Han Jia & Andrea Appolloni & Yunqi Wang, 2017. "Green Travel: Exploring the Characteristics and Behavior Transformation of Urban Residents in China," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
    3. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    4. Lingming Chen & Wenzhong Ye & Congjia Huo & Kieran James, 2020. "Environmental Regulations, the Industrial Structure, and High-Quality Regional Economic Development: Evidence from China," Land, MDPI, vol. 9(12), pages 1-22, December.
    5. Nasierowski, W. & Arcelus, F. J., 2003. "On the efficiency of national innovation systems," Socio-Economic Planning Sciences, Elsevier, vol. 37(3), pages 215-234, September.
    6. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    7. Ying Qu & Ying Yu & Andrea Appolloni & Mengru Li & Yue Liu, 2017. "Measuring Green Growth Efficiency for Chinese Manufacturing Industries," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    8. Ebru Alpay & Joe Kerkvliet & Steven Buccola, 2002. "Productivity Growth and Environmental Regulation in Mexican and U.S. Food Manufacturing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 887-901.
    9. 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.
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    Cited by:

    1. Tianjun Xu & Gangmin Weng & Wei Guo & Yidan Cao, 2023. "Spatio-Temporal Differentiation of Regional Innovation Chain: Evidence From Beijing-Tianjin-Hebei Region," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Tian, Jinfang & Sun, Siyang & Cao, Wei & Bu, Di & Xue, Rui, 2024. "Make every dollar count: The impact of green credit regulation on corporate green investment efficiency," Energy Economics, Elsevier, vol. 130(C).

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