Evaluating grain virtual water flow in China: Patterns and drivers from a socio-hydrology perspective

虚拟水 流出 人均 环境科学 流入 人口 水文学(农业) 水资源 水资源管理 缺水 地理 地质学 岩土工程 生态学 人口学 生物 社会学 气象学
作者
Jingxin Sun,Shikun Sun,Yali Yin,Yubao Wang,Xining Zhao,Pute Wu
出处
期刊:Journal of Hydrology [Elsevier]
卷期号:606: 127412-127412 被引量:13
标识
DOI:10.1016/j.jhydrol.2021.127412
摘要

To ensure regional grain security, the grain is transferred from grain surplus provinces to grain deficient provinces in China, then water embedded in grain (virtual water) flows accordingly, which promotes the spatial redistribution of water resources. To explore the influencing factors of virtual water flow, this study first obtained the inter-provincial virtual water flow pattern, and then constructed a virtual water flow trade gravity model based on socio-hydrology theory and estimated the model with multiple regression methods. And the impulse response function was used to analyze the response trajectory of virtual water flow under the shock of other endogenous variable fluctuation. The results show that from 1997 to 2014, the quantity of inter-provincial grain virtual water flow increased from 73 billion m3to 124.64 billion m3. The positive driving effect of the population and per capita GDP in virtual water inflow areas is significant, and the negative suppression effect of the grain output per unit in inflow-areas and the population in outflow-areas is significant. Heilongjiang is the province with the largest outflow of virtual water, and the outflow is more sensitive to the shock of local per capita water resources fluctuation. Guangdong is the province with the largest inflow, and the inflow is more sensitive to the local per capita GDP fluctuation. Chinese Mainland’s grain virtual water flow pattern and trend will continue to exist in the future. In addition to the endowment of water resources, social and economic factors also need to be considered during the process of water resources management.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ALDXL完成签到,获得积分10
1秒前
傲娇谷秋完成签到,获得积分10
2秒前
2秒前
3秒前
难过龙猫发布了新的文献求助10
4秒前
ym发布了新的文献求助10
4秒前
华仔应助蟹鱼橙子采纳,获得10
4秒前
4秒前
123完成签到,获得积分10
4秒前
澜冰完成签到,获得积分10
5秒前
5秒前
5秒前
科研通AI6.2应助0812采纳,获得10
5秒前
6秒前
6秒前
852应助iiiorange采纳,获得10
7秒前
爆米花应助大佬采纳,获得10
7秒前
傲娇谷秋发布了新的文献求助10
7秒前
肉脸小鱼发布了新的文献求助10
8秒前
8秒前
王大侠关注了科研通微信公众号
8秒前
赘婿应助张靖松采纳,获得10
9秒前
东南方应助kiyo采纳,获得10
10秒前
东南方应助kiyo采纳,获得10
10秒前
10秒前
逸尘发布了新的文献求助10
11秒前
隐形曼青应助潇洒寒烟采纳,获得10
11秒前
13秒前
顾矜应助hyodong采纳,获得10
13秒前
我是老大应助山屿采纳,获得10
14秒前
小蘑菇应助dl采纳,获得10
14秒前
15秒前
BowieHuang应助曾经的凌青采纳,获得10
15秒前
刘十三发布了新的文献求助10
16秒前
16秒前
17秒前
17秒前
家欣发布了新的文献求助10
19秒前
111发布了新的文献求助10
19秒前
张靖松发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
The Social Psychology of Citizenship 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5912187
求助须知:如何正确求助?哪些是违规求助? 6831436
关于积分的说明 15785215
捐赠科研通 5037204
什么是DOI,文献DOI怎么找? 2711599
邀请新用户注册赠送积分活动 1661950
关于科研通互助平台的介绍 1603905