Abstract
A burgeoning literature is emerging on China's high levels of carbon dioxide (CO2) emission. Yet policies remain elusive in part because of conflictual empirical findings and insufficient attention to China's complex spatial terrain. This paper conducts a spatial analysis of China's CO2 intensity (CEI) based on six major drivers, and shows that region-targetted strategies may be more effective in tackling CEI. Specifically, results from spatial autoregressive models indicate that drivers vary significantly across regions: changing the energy production mix through alternative sources of energy is likely to have a stronger effect on the Northwest and Middle Yangtze River but it is less effective for the South and East Coasts. Changes in population, urbanization, industrial structure and technology are more likely to lead to CEI reduction for South and East Coasts. Moreover at the regional level, spatial effects are more indirect and widespread spilling over to neighboring regions for the Middle Yellow River and Northeast. But they are more direct and contained affecting residents within the region for the Middle Yangtze River, South, North and East Coasts.
| Original language | English |
|---|---|
| Pages (from-to) | 640-651 |
| Number of pages | 12 |
| Journal | Journal of Cleaner Production |
| Volume | 211 |
| DOIs | |
| State | Published - Feb 20 2019 |
Keywords
- Carbon dioxide intensity
- Direct effect
- Indirect effect
- Spatial autoregressive models
- Spatial dependence
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