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Research on the Ecological Innovation Efficiency of the Zhongyuan Urban Agglomeration: Measurement, Evaluation and Optimization

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  • Yang Yang

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Simo Li

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Zhaoxian Su

    (School of Public Administration, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Hao Fu

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Wenbin Wang

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Yun Wang

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

The objective of carbon peaking and carbon neutralization put forward higher requirements for the intensive use of energy and resources, and green and efficient development has become an essential part of high-quality development. Ecological innovation focuses on resource preservation and application and the improvement of the ecological environment while driving economic development through innovation; therefore, ecological innovation has become a solution to balance resource conservation, environmental protection, and efficient development effectively and has received widespread attention. This research takes 30 cities of the Zhongyuan Urban Agglomeration as research subjects and constructs an urban agglomeration’s evaluation index system to measure ecological innovation efficiency. By utilizing the entropy-weight TOPSIS model and super-efficiency SBM-DEA model, the ecological innovation performance of the Zhongyuan Urban Agglomeration is measured and evaluated from 2006 to 2020; then, redundancy analysis is applied to analyze the correlation between ecological innovation inputs and outputs. The final results illustrate that: (1) The overall ecological innovation performance level of the Zhongyuan urban agglomeration is relatively low, and the ecological innovation ability of some cities is inadequate; (2) From the temporal perspective, the temporal evolution of the Zhongyuan urban agglomeration showed a less obvious U-shaped trend, and the innovation output benefits of the core development region are considerably superior to those of the co-development region, and the ecological innovation transformation efficiency of the Zhongyuan urban agglomeration shows a fluctuating trend; (3) From the spatial perspective, there are eight cities at the “high output and high efficiency” level but 19 cities at the “low output and low efficiency” level, and the ecological innovation performance of most cities in the north is obviously better than that in the south from the perspective of spatial distribution. Therefore, to further improve the ecological innovation ability and performance of the Zhongyuan urban agglomeration, relevant policies should be fully practiced and implemented, such as building Nanyang as a sub-central city, constructing an efficient ecological economy demonstration area in the south of Henan province, effectively integrating Zhengzhou and Kaifeng, and the innovative radiation of Zhengzhou as a national central city to other cities.

Suggested Citation

  • Yang Yang & Simo Li & Zhaoxian Su & Hao Fu & Wenbin Wang & Yun Wang, 2023. "Research on the Ecological Innovation Efficiency of the Zhongyuan Urban Agglomeration: Measurement, Evaluation and Optimization," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14236-:d:1248189
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    References listed on IDEAS

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    1. Xu Dong & Wensi Fu & Yali Yang & Chenguang Liu & Guizhi Xue, 2022. "Study on the Evaluation of Green Technology Innovation Efficiency and Its Influencing Factors in the Central Plains City Cluster of China," Sustainability, MDPI, vol. 14(17), pages 1-24, September.
    2. Yaguai Yu & Zanzan Xu & Panyi Shen & Lening Zhang & Taohan Ni, 2022. "Efficiency Evaluation and Influencing Factors of Green Innovation in Chinese Resource-Based Cities: Based on SBM-Undesirable and Spatial Durbin Model," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    3. Junhong Bai, 2013. "On Regional Innovation Efficiency: Evidence from Panel Data of China's Different Provinces," Regional Studies, Taylor & Francis Journals, vol. 47(5), pages 773-788, May.
    4. Ling Bai & Tianran Guo & Wei Xu & Kang Luo, 2022. "The Spatial Differentiation and Driving Forces of Ecological Welfare Performance in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    5. Feng Wu & Xiaopeng Fu & Ting Zhang & Dan Wu & Stavros Sindakis, 2022. "Examining Whether Government Environmental Regulation Promotes Green Innovation Efficiency—Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(3), pages 1-14, February.
    6. Tong Zhao & Haihua Zhou & Jinde Jiang & Wenyan Yan, 2022. "Impact of Green Finance and Environmental Regulations on the Green Innovation Efficiency in China," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    7. Jun-liang Du & Yong Liu & Wei-xue Diao, 2019. "Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China," IJERPH, MDPI, vol. 16(6), pages 1-23, March.
    8. Jian Song & Jing Wang & Zhe Chen, 2022. "How Low-Carbon Pilots Affect Chinese Urban Energy Efficiency: An Explanation from Technological Progress," IJERPH, MDPI, vol. 19(23), pages 1-30, November.
    9. García-Granero, Eva M. & Piedra-Muñoz, Laura & Galdeano-Gómez, Emilio, 2018. "Eco-innovation measurement: A review of firm performance indicators," MPRA Paper 119905, University Library of Munich, Germany.
    10. Lihua Chen & Yuan Ma, 2023. "How Do Ecological and Recreational Features of Waterfront Space Affect Its Vitality? Developing Coupling Coordination and Enhancing Waterfront Vitality," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    12. Haisen Wang & Gangqiang Yang & Jiaying Qin, 2020. "City Centrality, Migrants and Green Inovation Efficiency: Evidence from 106 Cities in the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    13. Yongrok Choi & Yanni Yu & Hyoung Seok Lee, 2018. "A Study on the Sustainable Performance of the Steel Industry in Korea Based on SBM-DEA," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
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