摘要
The most important aggregate measure of the long run health of the productive component of the agricultural economy is agricultural total factor productivity (TFP). Between 1948 and 2011, average annual input growth in US agriculture averaged approximately 0.07% while annual average output growth averaged roughly 1.5%. That translates into an annual average agricultural TFP growth rate of approximately 1.43%. That growth has led to a remarkable expansion of the productive ability of the US agricultural sector. However, climate change poses unprecedented challenges to U.S. agricultural production because of the sensitivity of agricultural productivity and costs to changing climate conditions. Some studies have examined the effect of climate change on U.S. agriculture. But none has investigated how climate affects the overall U.S. agricultural productivity. This study intends to find out climate change impacts on U.S. agricultural TFP change (TFPC). By correlation analysis with data in 1979-2005, we found that precipitation and temperature had significant positive or negative correlations with U.S. agricultural TFPC. Those correlation coefficients ranged from-0.8 to 0.8. And significant correlations, whether positive or negative, existed in different regions and different seasons. This is important information for policy-makers in decisions to support U.S. agriculture sustainability.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Remote Sensing and Modeling of Ecosystems for Sustainability XII |
| 编辑 | Ni-Bin Chang, Wei Gao |
| 出版商 | SPIE |
| ISBN(电子版) | 9781628417760 |
| DOI | |
| 出版状态 | 已出版 - 2015 |
| 已对外发布 | 是 |
| 活动 | Remote Sensing and Modeling of Ecosystems for Sustainability XII - San Diego, 美国 期限: 11 8月 2015 → 12 8月 2015 |
出版系列
| 姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 9610 |
| ISSN(印刷版) | 0277-786X |
| ISSN(电子版) | 1996-756X |
会议
| 会议 | Remote Sensing and Modeling of Ecosystems for Sustainability XII |
|---|---|
| 国家/地区 | 美国 |
| 市 | San Diego |
| 时期 | 11/08/15 → 12/08/15 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 2 零饥饿
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可持续发展目标 13 气候行动
指纹
探究 'Climate change impacts on the U.S. agricultural economy' 的科研主题。它们共同构成独一无二的指纹。引用此
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