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Spatio‐temporal pattern evolution and spatial spillover effect of green development efficiency: Evidence from Shandong Province, China

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  • Fuyou Guo
  • LianJun Tong
  • Limeng Xu
  • Xiao Lu
  • Yanwen Sheng

Abstract

Improving green development efficiency is urgently required, yet challenging, since it comprehensively reflects the bidirectional evolutionary relationship between regional development and resource and environmental consumption. The issue of regional green development efficiency has become a key topic; however, where the increase in efficiency originates and its spatial spillover effect remains unclear to date. Therefore, the spatial spillover effect of the green development efficiency of Shandong Province was quantified through the slack variable (SBM)‐Undesirable and Spatial Durbin model. The green development efficiency showed clear spatial differentiation in Shandong Province. This was more obvious than the polarized development trend of the provincial capital circle that has Jinan at its core and the eastern coastal region with Qingdao at its core. Green development efficiency has a significant spatial spillover effect. The regression coefficient of the direct effect of the economic development level is positive. The regression coefficient of the indirect effect of the marketization level and government financial support level is negative. Science and technology played a positive role in the promotion of the green development efficiency of local and neighboring cities. This study contributes empirical evidence to the green development efficiency associated with regional development and resource and environment consumption of Shandong Province.

Suggested Citation

  • Fuyou Guo & LianJun Tong & Limeng Xu & Xiao Lu & Yanwen Sheng, 2020. "Spatio‐temporal pattern evolution and spatial spillover effect of green development efficiency: Evidence from Shandong Province, China," Growth and Change, Wiley Blackwell, vol. 51(1), pages 382-401, March.
    • Handle: RePEc:bla:growch:v:51:y:2020:i:1:p:382-401
    DOI: 10.1111/grow.12355
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    Cited by:

    1. Haichao Yu & Shangze Dai & Haiqian Ke, 2024. "Industrial collaborative agglomeration and green economic efficiency—Based on the intermediary effect of technical change," Growth and Change, Wiley Blackwell, vol. 55(2), June.
    2. Wang, Feng & Wu, Min & Wang, Jingcao, 2023. "Can increasing economic complexity improve China's green development efficiency?," Energy Economics, Elsevier, vol. 117(C).
    3. Ning Geng & Zengjin Liu & Xuejiao Wang & Lin Meng & Jiayan Pan, 2022. "Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    4. Siyu Chen & Chong Peng & Mengjie Zhang & Peng Chen, 2022. "Club Convergence and Spatial Effect on Green Development of the Yangtze River Economic Belt in China with Markov Chains Approach," Land, MDPI, vol. 11(1), pages 1-17, January.
    5. Xiaoyan Li & Yaxin Tan & Kang Tian, 2022. "The Impact of Environmental Regulation, Industrial Structure, and Interaction on the High-Quality Development Efficiency of the Yellow River Basin in China from the Perspective of the Threshold Effect," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    6. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Yuanyuan Wu & Zhanhua Jia & Tingting Yu, 2022. "Tourism and Green Development: Analysis of Linear and Non-Linear Effects," IJERPH, MDPI, vol. 19(23), pages 1-22, November.
    8. Bing Rong & Chentao Zhang & Shuhao Yang & Tongyi Liu & Chengjun Chu, 2023. "Spatial Characteristics and Influencing Factors of Green Development Progress Level of Private Enterprises in China: Based on Large Collection Surveys," Sustainability, MDPI, vol. 15(15), pages 1-21, July.

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