亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Analysis of regional differences and evolution features for waterway transport efficiency in the Yangtze River Economic Belt considering undesired outputs

长江 环境科学 水资源管理 水文学(农业) 环境资源管理 地理 地质学 中国 岩土工程 考古
作者
Jun Zhu,Ying Zhao,Qiang Yang,Jun Jiang
出处
期刊:Ocean & Coastal Management [Elsevier BV]
卷期号:253: 107122-107122
标识
DOI:10.1016/j.ocecoaman.2024.107122
摘要

Waterway transport plays an increasingly important role in pursuing the sustainable development of the transportation industry and promoting regional economic development. Understanding the regional differences and evolution features of waterway transport efficiency (WTE) is a requisite for formulating waterway transport development policies. However, many studies of transport efficiency mainly focus on road, railway, and air transportation. Few studies have conducted an in-depth analysis of the WTE in the Yangtze River Economic Belt (YREB) from the perspective of considering undesired output. Adopting the Super slack-based measure (Super-SBM) model, Dagum Gini coefficient, and kernel density estimation as an analysis tool, this study explored the WTE's region disparities and dynamic evolution features based on the data from 2011 to 2020 in YREB. The analysis results represent that: (1) there represented a fluctuating and slowly upward trend of waterway transport efficiency during the study period. (2) The midstream region has the highest waterway transport efficiency, followed by the upstream region, and last is the downstream region. (3) The regional disparities in waterway transport efficiency exist in YREB, and the primary source of these differences is the inter-regional difference. And (4) the polarization phenomenon and agglomeration characteristics of waterway transport efficiency in YREB are gradually weakened and decreased, respectively. In the end, this article summarized the implications of this study to improve the waterway transport efficiency and service capabilities in YREB.

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
2秒前
FashionBoy应助鱼肠采纳,获得10
4秒前
温暖的海云完成签到 ,获得积分10
5秒前
聪明的冥茗完成签到 ,获得积分10
13秒前
13秒前
18秒前
宝剑葫芦完成签到 ,获得积分10
20秒前
鱼肠发布了新的文献求助10
23秒前
DMF完成签到,获得积分10
24秒前
27秒前
FashionBoy应助科研通管家采纳,获得10
28秒前
科目三应助科研通管家采纳,获得10
28秒前
酷波er应助xwc采纳,获得10
28秒前
zihang发布了新的文献求助30
31秒前
WWW完成签到 ,获得积分10
44秒前
弱智少年QAQ完成签到,获得积分10
53秒前
SciGPT应助风中的冰淇淋采纳,获得10
55秒前
56秒前
orixero应助zihang采纳,获得10
58秒前
58秒前
HUGGSY发布了新的文献求助10
1分钟前
Shuai发布了新的文献求助10
1分钟前
1分钟前
1分钟前
emmmm发布了新的文献求助10
1分钟前
美丽小凡关注了科研通微信公众号
1分钟前
霍霍完成签到,获得积分10
1分钟前
充电宝应助鱼肠采纳,获得10
1分钟前
打打应助忧郁背包采纳,获得10
1分钟前
忧郁背包完成签到,获得积分10
1分钟前
1分钟前
1分钟前
鱼肠发布了新的文献求助10
1分钟前
忧郁背包发布了新的文献求助10
1分钟前
大力完成签到,获得积分10
1分钟前
寂川发布了新的文献求助10
1分钟前
emmmm完成签到,获得积分10
1分钟前
1分钟前
鱼肠完成签到,获得积分10
1分钟前
1分钟前
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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
LASER: A Phase 2 Trial of 177 Lu-PSMA-617 as Systemic Therapy for RCC 520
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 6381008
求助须知:如何正确求助?哪些是违规求助? 8193322
关于积分的说明 17317265
捐赠科研通 5434397
什么是DOI,文献DOI怎么找? 2874604
邀请新用户注册赠送积分活动 1851385
关于科研通互助平台的介绍 1696148