Lu Cui
Biographic Data
| ID | 3758798 |
|---|---|
| NAME | Lu Cui |
| GIVEN NAMES | Lu |
| FAMILY NAME | Cui |
| SIGNATURE | CUI L |
| AFFILIATIONS | Guangdong Urban & Rural Planning and Design Institute |
| ORCID | 0000-0003-1484-6042 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Does industrial digital transition improve urban land use efficiency? Evidence from Chinese cities
Economic and institutional forces are considered as key determinants of urban land use efficiency (ULUE), while the role of technological change has received insufficient attention. This study examines whether industrial digital transition (IDT) enhances ULUE across 281 prefecture-level cities in China. We measure both IDT and ULUE and employ spatial Durbin and mediation models to identify the effects of IDT on ULUE. The results indicate that bot…
Domesticating sustainability transitions
GLOBAL-Local DRIVING Forces of CHINA'S GREENING of INDUSTRY
The greening of industry is an inevitable path for developing economies to achieve sustainability transition. However, the specific roles of global and local driving forces are still not substantially understood. This study develops a three-dimensional framework, which includes coercive pressures, normative pressures, and technology acquisition to analyze the influence of global and local drivers on China’s greening of industry. We measure the in…
Vegetation Coverage Prediction for the Qinling Mountains Using the CA–Markov Model
The Qinling Mountains represent the dividing line of the natural landscape of north-south in China. The prediction on vegetation coverage is important for protecting the ecological environment of the Qinling Mountains. In this paper, the data accuracy and reliability of three vegetation index data (GIMMS NDVI, SPOT NDVI, and MODIS NDVI) were compared at first. SPOT, NDVI, and MODIS NDVI were used for calculating the vegetation coverage in the Qin…
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Vegetation Coverage Prediction for the Qinling Mountains Using the CA–Markov Model
The Qinling Mountains represent the dividing line of the natural landscape of north-south in China. The prediction on vegetation coverage is important for protecting the ecological environment of the Qinling Mountains. In this paper, the data accuracy and reliability of three vegetation index data (GIMMS NDVI, SPOT NDVI, and MODIS NDVI) were compared at first. SPOT, NDVI, and MODIS NDVI were used for calculating the vegetation coverage in the Qin…
Domesticating sustainability transitions
GLOBAL-Local DRIVING Forces of CHINA'S GREENING of INDUSTRY
The greening of industry is an inevitable path for developing economies to achieve sustainability transition. However, the specific roles of global and local driving forces are still not substantially understood. This study develops a three-dimensional framework, which includes coercive pressures, normative pressures, and technology acquisition to analyze the influence of global and local drivers on China’s greening of industry. We measure the in…
Does industrial digital transition improve urban land use efficiency? Evidence from Chinese cities
Economic and institutional forces are considered as key determinants of urban land use efficiency (ULUE), while the role of technological change has received insufficient attention. This study examines whether industrial digital transition (IDT) enhances ULUE across 281 prefecture-level cities in China. We measure both IDT and ULUE and employ spatial Durbin and mediation models to identify the effects of IDT on ULUE. The results indicate that bot…
Geography (3 works) · China (2 works) · Ecology (2 works) · Economic geography (2 works) · Energy, Environment, Economic Growth (2 works) · Physical geography (2 works) · Sustainable Industrial Ecology (2 works) · Archaeology (1 works) · Biology (1 works) · Business (1 works)