已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Environmental response to growth in the marine economy and urbanization: A heterogeneity analysis of 11 Chinese coastal regions using a panel vector autoregressive model

城市化 自回归模型 计量经济学 面板数据 经济地理学 地理 经济 经济增长
作者
Qinglong Shao,Junjie Guo,Peng Kang
出处
期刊:Marine Policy [Elsevier BV]
卷期号:124: 104350-104350 被引量:13
标识
DOI:10.1016/j.marpol.2020.104350
摘要

Abstract The effect of urbanization on the environment in coastal regions has been extensively examined in previous studies, but neither the reverse effect nor the role of the marine economy has been investigated. To address this gap, this study uses a panel vector autoregressive model to further explore the interactions between marine economic growth, marine pollution, and urbanization in 11 Chinese coastal provinces/municipalities from 2000 to 2016. The per capita gross ocean product (GOP) and the per capita volume of industrial wastewater discharged directly into the sea decreased during the research period, whereas the urbanization rate increased. The spatial pattern of the main polluted areas showed a shift from north to south. Marine economic growth had a single-direction influence on marine pollution and urbanization in coastal regions, implying that urban expansion did not increase the ocean output. Consistent with previous findings, urban expansion aggravated environmental damage to the ocean. According to both impulse response analysis and variance decomposition, urbanization had a significant role in explaining variation in the three factors examined in this study. In addition, according to heterogeneity analysis, the three factors were most affected in the mid-income regions and southern coastal areas, while the areas with more developed marine services could better resist the negative effects of marine pollution and urban expansion. The policy implications of increasing the proportion of the marine economy and of controlling the acceleration of urbanization are explored.

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
晚意完成签到 ,获得积分10
1秒前
缱绻发布了新的文献求助10
4秒前
4秒前
StevenWu1发布了新的文献求助10
4秒前
依山观澜完成签到,获得积分10
5秒前
嘻嘻哈哈发布了新的文献求助80
5秒前
業業完成签到,获得积分10
6秒前
7秒前
晴空万里完成签到 ,获得积分10
7秒前
123发布了新的文献求助10
7秒前
FOX完成签到 ,获得积分10
9秒前
小代关注了科研通微信公众号
10秒前
省级中药饮片完成签到 ,获得积分10
14秒前
李子敬完成签到,获得积分10
18秒前
严明完成签到,获得积分0
19秒前
淡定从霜完成签到 ,获得积分10
21秒前
Aloha完成签到,获得积分0
23秒前
23秒前
瘦瘦的黄蜂完成签到,获得积分10
24秒前
111完成签到,获得积分10
25秒前
26秒前
应三问发布了新的文献求助10
27秒前
123发布了新的文献求助10
28秒前
CipherSage应助科研通管家采纳,获得10
28秒前
28秒前
28秒前
星辰大海应助科研通管家采纳,获得10
28秒前
29秒前
爆米花应助科研通管家采纳,获得10
29秒前
Vincy完成签到,获得积分10
29秒前
29秒前
不能随便完成签到,获得积分10
30秒前
今后应助Flamin采纳,获得10
31秒前
Lucky发布了新的文献求助10
31秒前
过时的沛白完成签到 ,获得积分10
32秒前
小代发布了新的文献求助10
32秒前
GingerF应助承乐采纳,获得100
33秒前
33秒前
Vincy发布了新的文献求助10
34秒前
fx完成签到 ,获得积分10
34秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(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
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
The Immune System (Fifth Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6569806
求助须知:如何正确求助?哪些是违规求助? 8348820
关于积分的说明 17886583
捐赠科研通 5698123
什么是DOI,文献DOI怎么找? 2944591
邀请新用户注册赠送积分活动 1920474
关于科研通互助平台的介绍 1797442