Environmental Regulation Influences Urban Land Green Use Efficiency: Incentive or Disincentive Effect? Evidence from China

Overview

Journal Heliyon

Specialty Social Sciences

Date 2024 May 3

PMID 38699048

Authors

Shouchao He

Xuyun Gong

Jin Ding

Lindong Ma

Affiliations

Soon will be listed here.

Abstract

China's crude economic development has led to high pollution and inefficiency of urban land use. Environmental regulation () is crucial for governments to promote green growth and efficient land use. Using a dataset of 271 cities in China from 2011 to 2020, this paper investigates the threshold effect of green innovation in science and technology and industrial structure optimization on impacts of urban land green use efficiency (). The results show that (1) positively affects . (2) There is a threshold effect of green innovation in science and technology () and industrial structure upgrading () in affecting , and the force decreases as the threshold value increases. (3) Within the examination of heterogeneity, the impact of on is more significant in eastern, high levels of urbanization and large cities, but the force of action is smaller. Based on the nonlinear force of , it is crucial to maximize the effectiveness of green land use by giving full play to the interactive synergistic effect of the "combination box" and dynamically and flexibly adjusting the intensity of according to the time, place, and state of urban development.

References

Luo Y, Salman M, Lu Z . Heterogeneous impacts of environmental regulations and foreign direct investment on green innovation across different regions in China. Sci Total Environ. 2020; 759:143744. DOI: 10.1016/j.scitotenv.2020.143744. View

Wu H, Fang S, Zhang C, Hu S, Nan D, Yang Y . Exploring the impact of urban form on urban land use efficiency under low-carbon emission constraints: A case study in China's Yellow River Basin. J Environ Manage. 2022; 311:114866. DOI: 10.1016/j.jenvman.2022.114866. View

Roy S, Basak D, Bose A, Roy Chowdhury I . Citizens' perception towards landfill exposure and its associated health effects: a PLS-SEM based modeling approach. Environ Monit Assess. 2022; 195(1):134. DOI: 10.1007/s10661-022-10722-4. View

Gao D, Li G, Li Y, Gao K . Does FDI improve green total factor energy efficiency under heterogeneous environmental regulation? Evidence from China. Environ Sci Pollut Res Int. 2021; 29(17):25665-25678. DOI: 10.1007/s11356-021-17771-1. View

Wei Y, Xu D, Zhang K, Cheng J . Research on the innovation incentive effect and heterogeneity of the market-incentive environmental regulation on mineral resource enterprises. Environ Sci Pollut Res Int. 2021; 28(41):58456-58469. DOI: 10.1007/s11356-021-14788-4. View

Cheng Z, Li X, Zhang Q . Can new-type urbanization promote the green intensive use of land?. J Environ Manage. 2023; 342:118150. DOI: 10.1016/j.jenvman.2023.118150. View

Yang W, Wang M . Environmental regulation and green technology innovation: incentive or disincentive effect? New evidence from resource-based cities in China. Environ Sci Pollut Res Int. 2022; 30(12):34440-34459. DOI: 10.1007/s11356-022-24185-0. View

Zhang J, Li S . The Impact of Human Capital on Green Technology Innovation-Moderating Role of Environmental Regulations. Int J Environ Res Public Health. 2023; 20(6). PMC: 10049096. DOI: 10.3390/ijerph20064803. View

Wang C, Liu T, Zhu Y, Lin M, Chang W, Wang X . Digital Economy, Environmental Regulation and Corporate Green Technology Innovation: Evidence from China. Int J Environ Res Public Health. 2022; 19(21). PMC: 9656565. DOI: 10.3390/ijerph192114084. View

10.

Cai X, Zhu B, Zhang H, Li L, Xie M . Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies. Sci Total Environ. 2020; 746:140810. DOI: 10.1016/j.scitotenv.2020.140810. View

11.

Qiao L, Li L, Fei J . Can "new infrastructure" reverse the "growth with pollution" profit growth pattern? An empirical analysis based on listed companies in China. Environ Sci Pollut Res Int. 2022; 29(20):30441-30457. DOI: 10.1007/s11356-021-17898-1. View

12.

Li C, Gao X, Wu J, Wu K . Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China. Environ Monit Assess. 2019; 191(7):412. DOI: 10.1007/s10661-019-7547-4. View

13.

Xiu J, Zang X, Piao Z, Li L, Kim K . China's low-carbon economic growth: an empirical analysis based on the combination of parametric and nonparametric methods. Environ Sci Pollut Res Int. 2022; 30(13):37219-37232. DOI: 10.1007/s11356-022-24775-y. View