文献类型: 外文期刊
作者: Nie, Ying 1 ; Liu, Qingjie 2 ; Liu, Rong 3 ; Ren, Dexiao 4 ; Zhong, Yao 1 ; Yu, Feng 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Inst Data Sci & Agr Econ, Beijing 100097, Peoples R China
2.Beijing Normal Univ, Belt & Rd Sch, Beijing 100875, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Guangzhou Coll Technol & Business, Sch Management, Guangzhou 510850, Peoples R China
关键词: FDI; CO2 emissions; Belt and Road countries; PSTR model; threshold effect
期刊名称:INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH ( 影响因子:4.614; 五年影响因子:4.798 )
ISSN:
年卷期: 2022 年 19 卷 6 期
页码:
收录情况: SCI
摘要: Under the background of the global "carbon neutrality" goal, it is of great significance to study the environmental effect of FDI in rapid economic development. This paper proposes an original framework to determine the relative influence of five factors on the Belt and Road countries with a strong FDI-CO2 association. Based on the panel smooth transition regression (PSTR) model, we establish country-specific and time-specific FDI-CO2 coefficients for 59 Belt and Road countries during 2003-2018. These coefficients are assumed to change smoothly as a function of five threshold variables, considered the most important in the literature devoted to the FDI-CO2 correlations. The results show that the degree of GDP per capita, industrialization, openness, and total factor productivity significantly influences the FDI-CO2 relationship. However, they showed obvious heterogeneity. The coefficient of elasticity of the environmental effects of FDI smoothly transitions between the different intervals, the relationship between GDP per capita and FDI-CO2 coefficient shows a bell-shaped change, the relationship between degree of trade openness and FDI-CO2 coefficient also shows a bell-shaped change, the relationship between industrialization level and FDI-CO2 coefficient shows an inverted N-shaped change, the change of a country's technological level shows a bell-shaped relationship with the FDI-CO2 coefficient. The results indicate that PSTR model can be used to study the threshold effect on FDI's influence on carbon dioxide emissions and the individual and time differences in coefficients of elasticity, to provide a new research perspective and new conclusions on the environmental effect of FDI in rapid economic development.
- 相关文献
作者其他论文 更多>>
-
Advancements of UAV and Deep Learning Technologies for Weed Management in Farmland
作者:Zhang, Jinmeng;Yu, Feng;Zhang, Qian;Wang, Ming;Yu, Jinying;Tan, Yarong;Yu, Feng
关键词:unmanned aerial vehicle; convolutional neural network; deep learning; weed detection; weed management
-
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
作者:Yu, Feng;Xiao, Jun;Yu, Feng;Wang, Ming;Zhang, Qian;Zhang, Jinmeng;Liu, Xin;Ping, Yang;Luan, Rupeng
关键词:remote sensing images; visible light images; machine learning; deep learning; biomass; yield calculation
-
Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles
作者:Yu, Feng;Xiao, Jun;Yu, Feng;Zhang, Qian;Ma, Yuntao;Wang, Ming;Luan, Rupeng;Liu, Xin;Ping, Yang;Nie, Ying;Tao, Zhenyu;Zhang, Hui
关键词:convolution neural network; crop classification; crop recognition; whole crop growth cycle
-
Research on the Evaluation Method of Eggshell Dark Spots Based on Machine Vision
作者:Wang, Chunshan;Zhou, Ji;Wang, Chunshan;Wu, Huarui;Chunjiang, Zhao;Wang, Chunshan;Wu, Huarui;Chunjiang, Zhao;Li, Jiuxi;Liu, Rong
关键词:Object segmentation; Image segmentation; Manuals; Clustering algorithms; Production; Lighting; eggshell; dark spot; evaluation; machine vision; K-means
-
Monitoring and Diagnosis of Vegetable Growth Based on Internet of Things
作者:Zhang, Qian;Yu, Feng;Fu, Rong;Li, Gang
关键词:Internet of Things;Vegetable Growth;Two-way Video;Remote Diagnosis
-
Agricultural SWOT analysis and wisdom agriculture design of chengdu
作者:Zhang, Qian;Chen, Xiangyu;Yu, Feng;Gong, Jin;Du, Shaoming;Yin, Guowei;Liu, Guicai;Han, Fujun
关键词:
-
Agricultural Information Service Based on WeChat Platform in Beijing
作者:Zhang, Qian;Yu, Feng;Fu, Rong;Liu, Xin;Zhang, Jun-feng
关键词:WeChat;agricultural information service;agricultural technician;agricultural extension



