基于混合比较多属性决策模型的绿色交易合规绩效评价

IF 5.4 2区 经济学 Q1 ECONOMICS
Mehmet Karadag , Muhammet Gul , Melih Yucesan , Miguel Ortiz-Barrios , Alessio Ishizaka , Jehangir Khan
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引用次数: 0

摘要

由《欧洲绿色协议》发起的环境和经济转型不仅影响着欧盟成员国,也影响着与欧盟有贸易往来的其他国家。这一转变要求农业、工业、交通、能源和金融等部门向可持续实践转变。遵守《绿色协议》对各国来说越来越重要,尤其是那些与欧盟有重要商业关系的国家。然而,不同的发展水平导致不同程度的实施。虽然存在关于欧盟成员国绿色协议合规的研究,但对具有大量贸易关系的欧盟候选成员国 rkiye的评估将解决文献中的重大空白。本研究引入了一种新的混合比较多属性决策模型,该模型结合了主观(最佳最差法及其衍生物)和客观(熵)加权,以确定“减少”气候变化的影响、“保护”地球和健康以及“实现”绿色公正过渡这三个主要标准下14个子标准的相对重要性。利用比率产品模型(RPM)对2017年至2021年期间 rkiye公司的绿色交易合规性进行了评估。进行敏感性分析以验证研究结果的稳健性,并使用各种多属性决策模型(包括SAW、TOPSIS和VIKOR)以及与欧盟国家的基准进行比较。标准权重来源于主观和客观方法的结合,突出了“减少”标准在所有方法中的主导重要性。根据不同的方法,“启用”和“保护”标准的重要性略有不同。RPM结果显示,2021年是新西兰在绿色协议合规方面表现最好的一年,而2017年表现最差。尽管2018年至2019年期间出现了一些波动,但总体而言,t rkiye取得了重大进展。该研究不仅改进了评估《绿色协议》合规性的方法,而且为政策制定者和行业利益相关者提供了可操作的见解,从而实现更明智的决策。通过强调 rkiye的发展轨迹,研究结果为非欧盟国家提供了战略指导,旨在与绿色协议目标保持一致,促进可持续发展并加强与欧盟的经济联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of Green Deal compliance performance with a hybrid comparative multi-attribute decision model

Evaluation of Green Deal compliance performance with a hybrid comparative multi-attribute decision model
The environmental and economic transformation initiated by the European Green Deal is influencing not only EU member states, but also other countries engaged in trade with the EU. This transformation mandates a shift towards sustainable practices in sectors such as agriculture, industry, transportation, energy, and finance. Compliance with the Green Deal is increasingly crucial for countries, particularly those with significant commercial ties to the EU. However, differing levels of development lead to varying degrees of implementation. While studies on the Green Deal compliance of EU member states exist, an evaluation of Türkiye—a candidate EU member with substantial trade relations—would address a significant gap in the literature. This study introduces a novel hybrid comparative multi-attribute decision model that combines subjective (Best Worst Method and its derivatives) and objective (Entropy) weighting to determine the relative importance of 14 sub-criteria under three main criteria: “Reducing” the impacts of climate change, “Protecting” the planet and health, and “Enabling” a green and just transition. Using the Ratio Product Model (RPM), Türkiye's Green Deal compliance from 2017 to 2021 was evaluated. Sensitivity analysis was conducted to validate the robustness of the findings, and comparisons were made using various multi-attribute decision models, including SAW, TOPSIS, and VIKOR, as well as benchmarking against EU countries. The criteria weights, derived from a combination of subjective and objective methods, highlighted the dominant importance of the “Reducing” criterion across all methods. The “Enabling” and “Protecting” criteria showed slight variations in importance depending on the method. The RPM results indicated that 2021 was Türkiye's best-performing year in terms of Green Deal compliance, while 2017 showed the weakest performance. Despite some fluctuations between 2018 and 2019, Türkiye demonstrated significant progress overall. The study not only advances the methodology for evaluating Green Deal compliance but also provides actionable insights for policymakers and industry stakeholders, enabling more informed decision-making. By highlighting Türkiye's trajectory, the findings offer strategic guidance for non-EU countries aiming to align with Green Deal objectives, fostering sustainable development and strengthening economic ties with the EU.
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来源期刊
Socio-economic Planning Sciences
Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
9.40
自引率
13.10%
发文量
294
审稿时长
58 days
期刊介绍: Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.
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