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基于熵权TOPSIS法的沿边地区经济高质量发展水平测度

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以贯彻"新发展理念"为核心,通过构建三级经济高质量发展评价指标体系,应用熵权TOPSIS法测度沿边地区经济高质量发展水平并进行梯度划分.研究表明:创新、开放发展对沿边地区经济高质量发展的贡献最大,协调发展的贡献次之,共享发展、绿色发展的贡献最小;分项指标方面,沿边地区的绿色、共享发展水平较高,协调发展水平中等,创新、开放发展水平较低.沿边地区经济高质量发展水平测度中,辽宁、广西、吉林处于中高水平,位于第一梯队;甘肃、黑龙江处于中等水平,位于第二梯队;内蒙古、云南、新疆、西藏处于较低水平,位于第三梯队.因此,应补足发展短板,推进创新、开放发展;深耕发展优势,推进绿色、共享发展;强化政策协同,推进协调发展.
Measurement of High-Quality Economic Development Level in Border Regions Based on the Entropy Weight TOPSIS Method
Based on the"new development philosophy",this study constructs a three-tiered evaluation in-dex system for high-quality economic development.By applying the entropy weight TOPSIS method,it meas-ures the level of high-quality economic development in border regions and categorize these areas into different gradients.The results indicate that innovation and open-up development contributes the most to high-quality economic development in border regions,coordinated development contributes more weaker,while shared and green development contributes the least.In terms of individual indicators,border regions exhibit high levels of green and shared development,moderate levels of coordinated development,and low levels of innovation and open-up development.Among these regions,Liaoning,Guangxi,and Jilin Province are at a moderately high level of high-quality economic development by falling into the first tier;Gansu and Heilongjiang Province are at a moderate level by falling into the second tier;and Inner Mongolia,Yunnan,Xinjiangand Tibet Province are at a relatively low level by falling into the third tier.Therefore,it is necessary to address development shortcomings and promote the level of innovation and open-up development,profound existing strengths to advance green and shared development,strengthen policy coordination to achieve coordinated development.

border areashigh-quality economic developmententropy-TOPSIS method

韩莹、朱子男

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呼伦贝尔市委政策研究室 内蒙古 海拉尔 021000

满洲里市委政策研究中心 内蒙古 满洲里 021400

沿边地区 高质量发展 熵权TOPSIS法

2024

呼伦贝尔学院学报
呼伦贝尔学院

呼伦贝尔学院学报

影响因子:0.211
ISSN:1009-4601
年,卷(期):2024.32(3)
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