Local environmental spending spillover effects on green innovation: evidence from cities in China

被引:0
|
作者
Liu, Min [1 ]
Liu, Weijiang [2 ]
机构
[1] Jilin Univ, Sch Business & Management, Changchun, Peoples R China
[2] Jilin Univ, Ctr Quantitat Econ Res, Changchun 130000, Peoples R China
关键词
Local environmental spending; green innovation; spatial Durbin model; spatial spillover effects; moderating effect; EXPENDITURE;
D O I
10.1080/09640568.2023.2297916
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
As the crucial force in achieving harmonious development of the economy and environment, green innovation has been extensively valued. Based on data from Chinese prefecture-level cities from 2007-2019, this research investigates the influence of environmental spending on green innovation, further examining the moderating effect of the urban research and development (R&D) environment. Employing the spatial econometric model, we discover that local environmental spending significantly boosts native green innovation, positively affecting green innovation in nearby cities. Meanwhile, environmental spending's green innovation effect for different city clusters presents heterogeneous characteristics. Additionally, the urban R&D environment significantly moderates the relationship between environmental spending and green innovation. With the improved urban R&D environment, the incentive effect of environmental spending on green innovation strengthens. Therefore, local governments should appropriately adjust environmental spending policies while also creating a favorable R&D environment, thus stimulating green innovation.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China
    Li, Guangqin
    Li, Xiaoge
    Huo, Lingzhi
    [J]. HELIYON, 2023, 9 (01)
  • [32] Fiscal decentralization, local government environmental protection preference, and regional green innovation efficiency: evidence from China
    Wang, Mingjin
    Zhang, Hongxiang
    Dang, Dingyu
    Guan, Jing
    He, Yujie
    Chen, Yiting
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (36) : 85466 - 85481
  • [33] Is there a ripple effect in environmental regulation in China? - Evidence from the local-neighborhood green technology innovation perspective
    Dong, Zhiqing
    He, Yongda
    Wang, Hui
    Wang, Linhui
    [J]. ECOLOGICAL INDICATORS, 2020, 118
  • [34] Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities
    Shang, Hua
    Jiang, Li
    Pan, Xianyou
    Pan, Xiongfeng
    [J]. ENERGY ECONOMICS, 2022, 114
  • [35] Fiscal decentralization, local government environmental protection preference, and regional green innovation efficiency: evidence from China
    Mingjin Wang
    Hongxiang Zhang
    Dingyu Dang
    Jing Guan
    Yujie He
    Yiting Chen
    [J]. Environmental Science and Pollution Research, 2023, 30 : 85466 - 85481
  • [36] Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China
    Zhao, Songqin
    Peng, Diyun
    Wen, Huwei
    Wu, Yizhong
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (34) : 81896 - 81916
  • [37] Effects of civilized cities commendation on urban green innovation: evidence from a quasi-natural experiment in China
    Zhang, Mengfan
    Hong, Yuxiang
    [J]. APPLIED ECONOMICS, 2023, 55 (35) : 4060 - 4077
  • [38] The Effects of Foreign Direct Investment on Green Technology Innovation: New Evidence from China's 278 Cities
    Yan, Yunfeng
    Li, Zongqi
    Zhang, Yutong
    Wu, Jie
    Zhang, Yun
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2024,
  • [39] Learn to be green: FDI spillover effects on eco-innovation in China
    Wu, Lichao
    Wang, Lili
    Lin, Lan
    [J]. INDUSTRIAL AND CORPORATE CHANGE, 2023, 32 (05) : 1192 - 1216
  • [40] Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China
    Songqin Zhao
    Diyun Peng
    Huwei Wen
    Yizhong Wu
    [J]. Environmental Science and Pollution Research, 2023, 30 : 81896 - 81916