Guangyue Xu
Biographic Data
| ID | 7569350 |
|---|---|
| NAME | Guangyue Xu |
| GIVEN NAMES | Guangyue |
| FAMILY NAME | Xu |
| SIGNATURE | XU G |
| AFFILIATIONS | Henan University |
| ORCID | 0000-0003-0140-5926 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Research on the Spatial-Temporal Differentiation Characteristics of Green Total Factor Productivity in China’s Regions
As the global climate crisis intensifies, the transition toward green and sustainable development has become a central pillar of global development. This study employs the Super-Efficiency SBM model to calculate the Green Total Factor Productivity (GTFP) of 30 provincial-level administrative regions in China from 2003 to 2022. It further analyzes the spatial agglomeration effects, regional spatiotemporal differentiation patterns, and spatial spil…
Climate Disasters and Farmers’ Income in China
Study on stochastic convergence of China’s carbon emission efficiency
Carbon emission efficiency (CEE) and its stochastic convergence are important indicators for achieving the strategic goal of carbon peaking and carbon neutrality. Thus, this paper firstly estimates the CEE of 30 provinces in China from 1995 to 2019 with the super efficiency of the SBM model. Then the panel unit root test method is adopted to test its stochastic convergence. The results show that the overall CEE has not reached the effective level…
Predicting China’s carbon intensity through 2050
Carbon intensity is one of the key indexes in the process of decarbonizing development. Therefore, our paper investigates possible pathways of China’s carbon intensity to 2050 depending on China’s development stage and trends. We first investigate the major influence factors of carbon intensity based on the Kaya identity, and then forecast China’s future carbon intensity with a generalized regression neural network model coupled with a scenario a…
Rural financial development and achieving an agricultural carbon emissions peak
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Rural financial development and achieving an agricultural carbon emissions peak
Predicting China’s carbon intensity through 2050
Carbon intensity is one of the key indexes in the process of decarbonizing development. Therefore, our paper investigates possible pathways of China’s carbon intensity to 2050 depending on China’s development stage and trends. We first investigate the major influence factors of carbon intensity based on the Kaya identity, and then forecast China’s future carbon intensity with a generalized regression neural network model coupled with a scenario a…
Study on stochastic convergence of China’s carbon emission efficiency
Carbon emission efficiency (CEE) and its stochastic convergence are important indicators for achieving the strategic goal of carbon peaking and carbon neutrality. Thus, this paper firstly estimates the CEE of 30 provinces in China from 1995 to 2019 with the super efficiency of the SBM model. Then the panel unit root test method is adopted to test its stochastic convergence. The results show that the overall CEE has not reached the effective level…
Research on the Spatial-Temporal Differentiation Characteristics of Green Total Factor Productivity in China’s Regions
As the global climate crisis intensifies, the transition toward green and sustainable development has become a central pillar of global development. This study employs the Super-Efficiency SBM model to calculate the Green Total Factor Productivity (GTFP) of 30 provincial-level administrative regions in China from 2003 to 2022. It further analyzes the spatial agglomeration effects, regional spatiotemporal differentiation patterns, and spatial spil…
Climate Disasters and Farmers’ Income in China
Energy, Environment, Economic Growth (4 works) · Environmental Impact and Sustainability (4 works) · Carbon fibers (3 works) · China (3 works) · Economics (3 works) · Environmental Science (3 works) · Geography (3 works) · Econometrics (2 works) · Efficiency Analysis Using DEA (2 works) · Mathematics (2 works)