Jianlong Wang
Biographic Data
| ID | 6196301 |
|---|---|
| NAME | Jianlong Wang |
| GIVEN NAMES | Jianlong |
| FAMILY NAME | Wang |
| SIGNATURE | WANG J |
| AFFILIATIONS | Sichuan University |
| ORCID | 0000-0002-4360-6585 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Impacts of extreme high temperatures on the energy transition
Grid Partition-Based Dynamic Spatial–Temporal Graph Convolutional Network for Large-Scale Traffic Flow Forecasting
Accurate forecasting of city-level large-scale traffic flow is crucial for efficient traffic management and effective transport planning. However, previously proposed traffic flow prediction methods model dynamic spatial correlations across entire traffic networks, leading to high computational complexity, elevated memory usage, and model overfitting. Therefore, a novel grid partition-based dynamic spatial–temporal graph convolutional network was…
Corporate green technology innovation under external pressure
The presence of external environmental constraints has the potential to impact corporate decision-making behavior regarding production and spur innovative activities. This study focuses on a sample of Chinese A-share-listed corporations to investigate the influence of public environmental concerns (PEC) on corporate green technology innovation (GTI) within the framework of public participation in environmental governance. Moreover, this study exp…
Can the digital economy address the loss of green development efficiency due to resource mismatch? Evidence from China’s land transaction markets
Land is the driving force of economic growth, but the proliferation of industrial land has resulted in wasted land resources, impaired economic efficiency, and ecological damage in China. Currently, the digital economy is transforming China’s economic growth model. Exploring the corrective mechanisms of the digital economy for land resource mismatch can contribute to efficient economic growth. Using a sample of Chinese prefecture-level cities fro…
Health welfare in the digital era
Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China
The impact of the new energy demonstration city policy on the green total factor productivity of resource-based cities
The new energy demonstration city policy (NEDC), an essential economic system aiming to implement innovative development strategies and energy structure transformations in China, is crucial for solving the current plight of resource-based cities. This paper studies the effect of the implementation of the NEDC on the green total factor productivity (GTFP) of resource-based cities in China; understanding this relation is of great significance for t…
Effects of Chinese-style fiscal decentralization on carbon emissions
Fiscal decentralization is the source of China’s rapid economic growth, but inevitably leads to a surge in total carbon emissions. We verify whether the intermediary mechanism of real estate development and the urban construction investment bonds (UCIB) can share the fiscal pressure of local governments to provide empirical support to clarify and solve the realistic decentralization dilemma. This study conducted a spatial analysis of panel data f…
Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China
The spatial spillover effect of urban sprawl and fiscal decentralization on air pollution
The spatial spillover effect of urban sprawl and fiscal decentralization on air pollution
The impact of the new energy demonstration city policy on the green total factor productivity of resource-based cities
The new energy demonstration city policy (NEDC), an essential economic system aiming to implement innovative development strategies and energy structure transformations in China, is crucial for solving the current plight of resource-based cities. This paper studies the effect of the implementation of the NEDC on the green total factor productivity (GTFP) of resource-based cities in China; understanding this relation is of great significance for t…
Effects of Chinese-style fiscal decentralization on carbon emissions
Fiscal decentralization is the source of China’s rapid economic growth, but inevitably leads to a surge in total carbon emissions. We verify whether the intermediary mechanism of real estate development and the urban construction investment bonds (UCIB) can share the fiscal pressure of local governments to provide empirical support to clarify and solve the realistic decentralization dilemma. This study conducted a spatial analysis of panel data f…
Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China
Health welfare in the digital era
Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China
Grid Partition-Based Dynamic Spatial–Temporal Graph Convolutional Network for Large-Scale Traffic Flow Forecasting
Accurate forecasting of city-level large-scale traffic flow is crucial for efficient traffic management and effective transport planning. However, previously proposed traffic flow prediction methods model dynamic spatial correlations across entire traffic networks, leading to high computational complexity, elevated memory usage, and model overfitting. Therefore, a novel grid partition-based dynamic spatial–temporal graph convolutional network was…
Corporate green technology innovation under external pressure
The presence of external environmental constraints has the potential to impact corporate decision-making behavior regarding production and spur innovative activities. This study focuses on a sample of Chinese A-share-listed corporations to investigate the influence of public environmental concerns (PEC) on corporate green technology innovation (GTI) within the framework of public participation in environmental governance. Moreover, this study exp…
Can the digital economy address the loss of green development efficiency due to resource mismatch? Evidence from China’s land transaction markets
Land is the driving force of economic growth, but the proliferation of industrial land has resulted in wasted land resources, impaired economic efficiency, and ecological damage in China. Currently, the digital economy is transforming China’s economic growth model. Exploring the corrective mechanisms of the digital economy for land resource mismatch can contribute to efficient economic growth. Using a sample of Chinese prefecture-level cities fro…
Impacts of extreme high temperatures on the energy transition
Energy, Environment, Economic Growth (7 works) · Economics (6 works) · Business (5 works) · Computer Science (5 works) · China (4 works) · Environmental economics (3 works) · Geography (3 works) · Political science (3 works) · COVID-19 Pandemic Impacts (2 works) · Decentralization (2 works)