Do Trees Grow with the Economy? A Spatial Analysis of the Determinants of Forest Cover Change in Sichuan, China
文献类型：SCI/SSCI论文
| 作者 | Zhao H. X. ; Uchida E. ; Deng X. Z. ; Rozelle S. |
| 发表日期 | 2011 |
| 关键词 | China Economic growth Environmental Kuznets Curve Forest resources Remote sensing Spatial econometrics environmental kuznets curve population-growth land-use deforestation quality emissions satellite imagery tests rise |
| 英文摘要 | This paper aims to identify the relationship between economic growth and forest cover change in Sichuan, China. Using a set of panel land use data based on Landsat TM/ETM digital images, we show that during the late 1980s and 1990s, Sichuan's forest cover initially decreased and then rose. We also note that the rising and falling trends occurred at the same time that Sichuan's economy was going through a period of rapid and sustained growth. We use multivariate analysis to identify the determinants of forest cover change. In addition to using a first-differenced estimator, we also utilize spatial error and spatial lag models to obtain consistent and efficient estimates of the determinants of forest cover. Our analysis demonstrates the importance of economic growth on the forest cover change; the results show that there is a U-shaped relationship between forest cover and GDP per capita. However, despite the nature of the empirical relationship between forest cover and income, the high turning point of the U-shaped relationship suggests that there is no evidence for the existence of the Environmental Kuznets Curve for forests in Sichuan Province. Hence, policy interventions may be necessary to stop the decrease of forests. |
| 出处 | Environmental & Resource Economics |
| 卷 | 50 |
| 期 | 1 |
| 页 | 61-82 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0924-6460 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22295]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zhao H. X.,Uchida E.,Deng X. Z.,et al. Do Trees Grow with the Economy? A Spatial Analysis of the Determinants of Forest Cover Change in Sichuan, China. 2011. |
入库方式： OAI收割
来源：地理科学与资源研究所
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