Estimating the Effects of Climatic Change on Grain Production: Spatial versus Non-spatial Models
文献类型：会议论文
| 作者 | Huang W. ; Deng X. Z. ; Zhan J. Y. ; Lin Y. Z. |
| 出版日期 | 2009 |
| 关键词 | spatial model spatial lag spatial error spatial econometrics non-spatial model OLS agriculture impacts china |
| 页码 | 2187-2190 |
| 英文摘要 | This paper aims to estimate the effects of climatic change on grain production in China by doing a cross-sectional analysis based on county-level dataset with variables measuring the total output of grain production, climate, and other economic and geographical data for over 2200 counties of China in the year of 2000. A non-spatial model, using Ordinary Least Squares(OLS) approach, was firstly built to measure the effects of climatic change on grain production, and then a spatial econometric model including the spatially weighted values of the explained and the explanatory variables to obtain more consistent and efficient estimates was developed by using the Maximum Likelihood Estimation approach. We find that spatial lag and spatial error models built on the rationale of spatial econometrics might be serving as an alternative to capture the effects from the dependent variables as well as the independent variables when we explore the impacts of climate change on the grain production in China. |
| 收录类别 | CPCI |
| 会议录出版者 | Ieee |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-4133-4 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25135]  |
| 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 | Huang W.,Deng X. Z.,Zhan J. Y.,et al. Estimating the Effects of Climatic Change on Grain Production: Spatial versus Non-spatial Models[C]. 见:. |
入库方式： OAI收割
来源：地理科学与资源研究所
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