Analysis of Green Economic Efficiency and Influencing Factors: Based on the Innovation Output and Spatial Spillover Perspective

被引:0
|
作者
Wang, Xiaotong [1 ]
Luo, Gongli [1 ]
Wang, Lu [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Econ & Management, Qingdao 266590, Peoples R China
关键词
Innovation output; Green economic efficiency; Dynamic evolution; Spatial spillover effect; Super-SBM model with undesirable outputs; SLACKS-BASED MEASURE; ENVIRONMENTAL-REGULATION; GROWTH; PRODUCTIVITY; INDUSTRY; MODEL;
D O I
10.1007/s13132-023-01726-7
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper uses the Super-SBM model with undesirable outputs to calculate provincial green economic efficiency and characterize its dynamic evolution using kernel density estimation. Then, we analyze the overflow effects of innovation output on green economic efficiency by the spatial Dubin model. The green economic efficiency is rising, with the spatial feature of high in the east and south and lower in the west and north. The kernel density distribution curve is moving to the right on the whole, suggesting an improvement in green economy efficiency. The peak value first rises and then decreases, indicating that the growth rate has gone through a process of fast to slow. The double peak state is evident, indicating that the efficiency differences between provinces are increasing. The influence of innovation output on green economic efficiency is significantly positive, with an apparent spillover effect. The spatial spillover effects of economic level, industry structure, environmental regulation, openness, and government support are also significant.
引用
收藏
页码:15161 / 15175
页数:15
相关论文
共 50 条
  • [21] Spatial Evolution Characteristics and Influencing Factors of Urban Green Innovation in China
    PENG Wenbin
    SU Xinyi
    TANG Yueliang
    Chinese Geographical Science, 2025, 35 (02) : 234 - 249
  • [22] Spatial and Temporal Differences in the Green Efficiency of Water Resources in the Yangtze River Economic Belt and Their Influencing Factors
    Huang, Chong
    Yin, Kedong
    Liu, Zhe
    Cao, Tonggang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (06) : 1 - 18
  • [23] Efficiency Evaluation and Influencing Factors of Green Innovation in Chinese Resource-Based Cities: Based on SBM-Undesirable and Spatial Durbin Model
    Yu, Yaguai
    Xu, Zanzan
    Shen, Panyi
    Zhang, Lening
    Ni, Taohan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
  • [24] Spatial Spillover Effect of Strategic Emerging Industry Agglomeration and Green Economic Efficiency in China
    Zeng, Gang
    Geng, Chengxuan
    Guo, Haixia
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2020, 29 (05): : 3901 - 3914
  • [25] Does digital economy agglomeration promote green economy efficiency? A spatial spillover and spatial heterogeneity perspective
    Yu, Hongyang
    Wang, Jinchao
    Xu, Jiajun
    Ding, Binghao
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, : 7379 - 7406
  • [26] Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China
    Li, Guangqin
    Li, Xiaoge
    Huo, Lingzhi
    HELIYON, 2023, 9 (01)
  • [27] Spatial spillover and threshold effects of digital economy on green innovation efficiency-based on provincial level data in China
    Zhang, Zhiwei
    Cheng, Yunhe
    Zhang, Jin
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2023, : 6733 - 6755
  • [28] Green development efficiency measurement and influencing factors analysis in the Yangtze River economic Belt, China
    Peng, Shiyi
    Yu, Yajing
    ECOLOGICAL INDICATORS, 2024, 162
  • [29] Analysis of Spatial-Temporal Evolution and Its Influencing Factors of Cities' Green Economic Efficiency: A Case Study of Shandong Province, China
    Zhang, Meixia
    Li, Fang
    Li, Ying
    Yan, Jiale
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2024, 33 (05): : 5473 - 5483
  • [30] Spatiotemporal pattern evolution and influencing factors of green innovation efficiency: A China?s city level analysis
    Wang, Ke-Liang
    Zhang, Fu-Qin
    Xu, Ru-Yu
    Miao, Zhuang
    Cheng, Yun-He
    Sun, Hua-Ping
    ECOLOGICAL INDICATORS, 2023, 146