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Low-carbon route optimization model for multimodal freight transport considering value and time attributes 考虑价值和时间属性的多式货运低碳路线优化模型
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-11-10 DOI: 10.1016/j.seps.2024.102108
Xinghui Chen , Xinghua Hu , Haobing Liu
As the international community increasingly focuses on climate change, optimizing low-carbon transportation routes in the multimodal freight transport system has become a pressing issue. However, due to the variability in cargo properties and the influence of various factors on transportation route decisions, formulating a low-carbon and economical multimodal freight transport plan remains a significant challenge. To address the issue, this study considered cargoes with different attributes in terms of both value and time attributes. Triangular fuzzy numbers were employed to represent the uncertain demand for cargo, with confidence levels introduced for clarification. A low-carbon route decision optimization model for multimodal freight transport was established to minimize the combined transportation carbon emission and time costs. The catastrophe adaptive genetic algorithm, based on Monte Carlo sampling, was employed to solve the model using arithmetic examples. Finally, parameter sensitivity analysis revealed that adjustments to carbon tax values and changes in the proportion of electric trucks and green electricity supply had the most significant impact on the low-carbon route decision-making plan for multimodal freight transport. For low value-added and timeliness-strong cargo, a 60 % increase in carbon tax value shifted the mode of transportation from road to railway. When the carbon tax increased by more than 140 %, the transportation mode shifted from railway to waterway. Additionally, when the proportion of electric trucks and green electricity supply both exceeded 80 %, the transportation mode between some city nodes shifted from railway to road. When these proportions increased beyond 90 %, road transportation became the predominant mode.
随着国际社会对气候变化的日益关注,在多式联运货运系统中优化低碳运输路线已成为一个紧迫的问题。然而,由于货物属性的多变性以及各种因素对运输路线决策的影响,制定低碳、经济的多式联运货运计划仍然是一项重大挑战。为解决这一问题,本研究考虑了在价值和时间属性方面具有不同属性的货物。研究采用三角模糊数来表示不确定的货物需求,并引入置信度来加以说明。建立了多式联运货物运输的低碳路线决策优化模型,以最大限度地降低运输碳排放和时间成本。采用基于蒙特卡洛抽样的灾难自适应遗传算法,利用算术实例对模型进行求解。最后,参数敏感性分析表明,碳税值的调整以及电动卡车和绿色电力供应比例的变化对多式联运的低碳路线决策方案影响最大。对于低附加值和时效性强的货物,碳税额增加 60%,运输方式就会从公路转向铁路。当碳税增加 140% 以上时,运输模式从铁路转向水路。此外,当电动卡车和绿色电力供应的比例均超过 80% 时,一些城市节点之间的运输方式由铁路转向公路。当上述比例超过 90% 时,公路运输成为主要运输方式。
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引用次数: 0
Measurement and comparison of different dimensions of renewable energy policy implementation in the agricultural sector 衡量和比较农业部门实施可再生能源政策的不同方面
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-11-09 DOI: 10.1016/j.seps.2024.102106
Somayeh Dehhaghi , Shahla Choobchian , Hossein Azadi
The current research aims to measure the different dimensions of renewable energy policy implementation and compare these dimensions with each other, focusing on Iran's agricultural sector. This analysis makes it possible to identify the strengths and weaknesses in implementing existing policies. The five dimensions include “organizational and institutional”, “incentives”, “investment”, “infrastructure”, and “human resources development”. The statistical population of this research comprised energy policy experts, whose number was 85. The sampling method was random, and 70 persons participated in answering the questionnaire using the Karjesi and Morgan table. A questionnaire was used to collect data. The reliability of the questionnaire was calculated using Cronbach's alpha (0.916). Face validity, content validity ratio (CVR), and content validity index (CVI) were applied to determine validity. In the calculation of CVR, values ≥ 0.33 were considered reasonable and appropriate to confirm each item. All CVI values obtained were higher than 0.79. Multi-criteria analysis was used to analyze the data. The results indicated that organizational and institutional policies were at the highest level of unsustainability. The dimension of investment policies showed less unsustainability than other dimensions. The other three dimensions also showed significant deficiencies. It seems that policy development to eliminate the diversity and interference of organizations, fuel subsidies revision, market policy development, attracting capital, and participation of stakeholders is necessary to reduce unsustainability in this field. The development of the resources of expert forces and attention to educational policies should also be considered.
目前的研究旨在衡量可再生能源政策实施的不同方面,并将这些方面相互比较,重点是伊朗的农业部门。通过分析,可以找出现有政策实施的优缺点。这五个方面包括 "组织和制度"、"激励措施"、"投资"、"基础设施 "和 "人力资源开发"。本研究的统计对象包括能源政策专家,人数为 85 人。抽样方法为随机抽样,共有 70 人参与了问卷调查,采用的是卡尔杰西和摩根表格。问卷用于收集数据。问卷的可靠性使用 Cronbach's alpha(0.916)进行计算。面效度、内容效度比(CVR)和内容效度指数(CVI)用于确定效度。在计算 CVR 时,≥ 0.33 的值被认为是合理和适当的,可以确认每个项目。所有 CVI 值均高于 0.79。数据分析采用了多重标准分析法。结果表明,组织和机构政策的不可持续性水平最高。与其他维度相比,投资政策维度的不可持续性较低。其他三个维度也显示出明显的不足。看来,要降低该领域的不可持续性,必须制定政策以消除组织的多样性和干扰、修订燃料补贴、制定市场政策、吸引资本和利益相关者的参与。此外,还应考虑开发专家资源和关注教育政策。
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引用次数: 0
A Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes 基于 Kansei 工程的多维属性离线医疗服务质量评价决策方法
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-11-01 DOI: 10.1016/j.seps.2024.102100
Yujia Liu , Xinru Ren , Feixia Ji , Changyong Liang , Jian Wu
The evaluation of doctors’ offline medical service quality plays a vital role in evaluating hospital performance. There are two challenges that need to be addressed: (1) Currently, telephone follow-up and questionnaire surveys are the main methods for evaluating the quality of offline (mainly outpatient and inpatient) medical services in hospitals. However, these methods suffer from drawbacks such as low efficiency and resource consumption. (2) There are certain limitations to determining attribute dimensions and weighting patient evaluation attributes based solely on word frequency. To this end, this study proposes a Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes. First, this study constructs a medical Kansei lexicon based on speed and cosine similarity. Second, a concept of Kansei utility values is been defined to represent attribute values in medical service quality evaluation. Additionally, this study builds upon the Kano model to obtain the Kano classification of each attribute. On that basis, a novel approach to obtaining the implicit importance of the attributes is proposed. Thus, the weight vector of the attributes can be calculated as the combination of explicit and implicit importance. Finally, the evaluation result is obtained by using the multiattribute decision-making method. The effectiveness of the proposed method is verified through an analysis of online reviews from Haodf.com. The case study reveals that offline patients consider medical ethics and communication skills as the ”must-be” dimension of attributes, medical competence as a one-dimensional attribute, and medical advice and prescriptions as the attractive dimension of attributes. A comparative analysis with the traditional method is conducted to demonstrate the importance of dimensional analysis for offline medical service quality evaluation. The main contributions of this study include the following: (1) A medical Kansei lexicon is constructed based on Kansei engineering, and (2) a novel decision-making framework for medical service evaluation based on both appearance and implicit importance is constructed.
医生线下医疗服务质量评价在医院绩效评价中起着至关重要的作用。需要解决的难题有两个:(1)目前,电话随访和问卷调查是评价医院线下(主要是门诊和住院)医疗服务质量的主要方法。然而,这些方法存在效率低、资源消耗大等缺点。(2) 仅根据词频确定属性维度和患者评价属性权重存在一定的局限性。为此,本研究提出了一种基于康熙工程学的多维属性离线医疗服务质量评价决策方法。首先,本研究构建了基于速度和余弦相似度的医疗 Kansei 词库。其次,定义了 Kansei 实用价值的概念,以表示医疗服务质量评价中的属性值。此外,本研究以 Kano 模型为基础,获得了每个属性的 Kano 分类。在此基础上,提出了一种获取属性隐含重要性的新方法。因此,属性的权重向量可以计算为显性和隐性重要性的组合。最后,使用多属性决策方法得出评估结果。通过分析 Haodf.com 上的在线评论,验证了所提方法的有效性。案例研究显示,线下患者认为医德和沟通技巧是 "必须的 "属性维度,医疗能力是一维属性,而医疗建议和处方则是有吸引力的属性维度。通过与传统方法的对比分析,证明了维度分析法在线下医疗服务质量评价中的重要性。本研究的主要贡献包括以下几点:(1) 基于 Kansei 工程学构建了医疗 Kansei 词库;(2) 构建了基于外观和隐含重要性的新型医疗服务评价决策框架。
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引用次数: 0
Investigating water sustainability towards indicators: An empirical illustration using country-level data 调查水资源可持续性指标:使用国家级数据进行实证说明
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-28 DOI: 10.1016/j.seps.2024.102102
Riccardo Ievoli , Rosa Vinciguerra , Adriana Bruno
This paper contributes to the academic debate on the construction of synthetic indices with respect to water-based sustainability analysis. In this regard, the United Nations Sustainable Development Goal (SDG) 6.4 specifically considers the progress on water-use efficiency within the target of ensuring access to water and sanitation (SDG 6). Our contribution investigates the levels of water sustainability reached by countries around the world considering a suitable measure of the goal obtained by aggregating variables available at the national level, i.e. water efficiency (SDG 6.4.1) and stress (SDG 6.4.2).
The construction of a composite index for SDG 6.4 is discussed through the usual steps of normalization, aggregation, and weighting, also highlighting the pros, cons and issues encountered in each step. Fundamental issues faced in the construction of synthetic indices are also discussed: different methods for performing the above steps are compared, and uncertainty analysis is carried out to understand which methods could be reasonably suitable to measure the synthetic indicator of the entire target. As a further theoretical contribution, we illustrate some arguments in favor of the application of categorical scales for normalization, even if the results of some countries seem to be particularly sensitive to the choice of weights in the aggregation phase.
Results, obtained after examining univariate and multivariate descriptive statistics, show that the best performances can be observed in small and medium European countries and sub-Saharan African nations (such as Congo, Gabon, and Angola), while the lowest levels appear to be located in Central Asia, the Middle East, and North Africa.
A natural implication of this research is its contribution to valorizing the social capital of a regional area, stimulating new approaches to environmental issues, informing public debate, and influencing policy-making.
本文为有关构建以水为基础的可持续性分析合成指数的学术讨论做出了贡献。在这方面,联合国可持续发展目标(SDG)6.4 特别考虑了在确保获得水和卫生设施(SDG 6)的目标范围内提高用水效率的进展情况。我们的贡献调查了世界各国所达到的水资源可持续性水平,考虑了通过汇总国家层面可用的变量(即用水效率(可持续发展目标 6.4.1)和用水压力(可持续发展目标 6.4.2))获得的目标的适当衡量标准。我们通过归一化、汇总和加权等常规步骤讨论了可持续发展目标 6.4 综合指数的构建,还强调了每个步骤中遇到的利弊和问题。我们还讨论了构建合成指数所面临的基本问题:比较了执行上述步骤的不同方法,并进行了不确定性分析,以了解哪些方法可合理地适用于衡量整个目标的合成指标。作为进一步的理论贡献,我们说明了支持采用分类标度进行归一化的一些论点,即使某些国家的结果似乎对汇总阶段的权重选择特别敏感。在对单变量和多变量描述性统计进行研究后得出的结果表明,欧洲中小国家和撒哈拉以南非洲国家(如刚果、加蓬和安哥拉)的表现最好,而中亚、中东和北非的表现似乎最低。
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引用次数: 0
What about QR codes on wine bottles? A statistical analysis of technology's influence on purchase decisions among Italian wine consumers 酒瓶上的二维码如何?技术对意大利葡萄酒消费者购买决策影响的统计分析
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-24 DOI: 10.1016/j.seps.2024.102088
Nino Adamashvili, Alessia Spada, Mariantonietta Fiore, Caterina Tricase
The growing significance of information availability about products for consumers represents a pivotal dimension in contemporary consumer behavior and decision-making processes. In the context of an ever-evolving global marketplace characterized by a huge number of choices, rapid technological advancements and increased consumer awareness, access to comprehensive product information has emerged as a fundamental factor affecting consumers' preferences, choices, and satisfaction levels. There is a significant scientific gap on Italian wine consumers' readiness to adopt emerging technologies. Therefore, the research objective is to investigate whether Italian wine consumers trust and are willing to use emerging technologies such as Quick Response (QR) code and Blockchain Technology (BCT) and to identify the factors influencing their acceptance. By examining and evaluating several crucial aspects in the context of wine purchases in Italy using an online survey, this work seeks to fill the gap in the literature. These crucial elements include customers' propensity for novelty, information-seeking behaviors, faith in new technology, and the intention to use them during wine purchasing. What can be derived is the positive interconnection between consumers novelty-seeking, information-seeking, intention to use the QR code and trust in emerging technologies. With other words, consumers' information-seeking and novelty-seeking is interconnected and they positively determine consumers trust in technologies and their adoption. The implications of this study are twofold. Firstly, it enriches consumer behavior theory by providing new insights into how information availability and emerging technologies influence consumers’ decision-making processes, particularly in the context of the Italian wine market. Secondly, businesses can leverage these insights to enhance consumer trust and satisfaction, enabling them to make more effective marketing strategies, improve product transparency, and gain a competitive edge in the increasingly competitive wine market.
在当代消费者行为和决策过程中,产品信息对消费者的重要性日益凸显。在选择繁多、技术进步迅速、消费者意识增强的不断发展的全球市场背景下,获取全面的产品信息已成为影响消费者偏好、选择和满意度的基本因素。关于意大利葡萄酒消费者采用新兴技术的准备情况,在科学上还存在很大差距。因此,本研究旨在调查意大利葡萄酒消费者是否信任并愿意使用快速反应代码(QR)和区块链技术(BCT)等新兴技术,并确定影响其接受程度的因素。通过使用在线调查对意大利葡萄酒购买中的几个关键方面进行研究和评估,这项工作力图填补文献空白。这些关键因素包括顾客的新奇倾向、信息搜索行为、对新技术的信心以及在购买葡萄酒时使用这些技术的意愿。可以得出的结论是,消费者的新奇寻求、信息寻求、使用二维码的意向和对新兴技术的信任之间存在正相关。换句话说,消费者的信息寻求和新奇感寻求是相互关联的,它们积极地决定了消费者对技术的信任和采用。本研究有两方面的意义。首先,它丰富了消费者行为理论,提供了关于信息可用性和新兴技术如何影响消费者决策过程的新见解,特别是在意大利葡萄酒市场的背景下。其次,企业可以利用这些见解来提高消费者的信任度和满意度,从而制定更有效的营销策略,提高产品透明度,在竞争日益激烈的葡萄酒市场中获得竞争优势。
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引用次数: 0
Intergenerational transmission of disadvantages in the Italian labour market 意大利劳动力市场劣势的代际传递
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-24 DOI: 10.1016/j.seps.2024.102097
Elena Fabrizi , Isabella Sulis , Annalisa Busetta , Giancarlo Ragozini
The equity of a country is commonly assessed by examining the distribution of economic resources, access to higher education, and positions of societal influence relative to family socio-economic background. This study investigates the mechanisms perpetuating inequalities in the Italian labour market by analysing how family background influences educational attainment and subsequent labour market outcomes. Using the innovative AdSilc database, which integrates administrative and survey data on socio-economic backgrounds, we employed Generalized Path Analysis to explore complex relationships among exogenous, mediating, and endogenous variables. Incorporating the Heckman selection model addressed potential biases related to labour market participation. Additionally, we utilized generalized latent variable models for ordinal data to define family socio-economic status. Our findings underscore a pronounced intergenerational transmission of inequalities and a persistent wage gap across all cohorts analysed. Growing up in an advantaged family not only enhances educational attainment but also influences divergent labour market outcomes observed upon entry and after ten years of career progression.
一个国家的公平性通常是通过考察经济资源的分配、接受高等教育的机会以及相对于家庭社会经济背景的社会影响地位来评估的。本研究通过分析家庭背景如何影响教育程度和随后的劳动力市场结果,调查意大利劳动力市场不平等现象的长期存在机制。利用创新的 AdSilc 数据库(该数据库整合了有关社会经济背景的行政和调查数据),我们采用了广义路径分析来探索外生变量、中介变量和内生变量之间的复杂关系。结合赫克曼选择模型解决了与劳动力市场参与相关的潜在偏差。此外,我们还利用了针对序数数据的广义潜变量模型来定义家庭社会经济地位。我们的研究结果表明,在所分析的所有组群中,不平等现象代代相传,工资差距持续存在。在条件优越的家庭中长大不仅能提高教育程度,还能影响入职时和职业发展十年后劳动力市场的不同结果。
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引用次数: 0
Evaluating the effects of digital finance on urban poverty 评估数字金融对城市贫困的影响
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-22 DOI: 10.1016/j.seps.2024.102099
Zhimin Duan , Fangjie Yuan , Zhengjie Tian
This study examines the impact of digital financial services development on urban poverty. Utilizing the vicious cycle of poverty theory, we established a multidimensional poverty measurement index to assess the poverty status of urban households and propose strategies for leveraging digital finance to address urban poverty. Through empirical research based on a comprehensive dataset from China covering the period from 2012 to 2020, we evaluated the moderating effect of digital financial growth on urban poverty. Our analysis, which categorized poor urban households into five groups—laid-off workers, unemployed individuals, migrants, the elderly, and disabled persons—revealed that only the unemployed and migrants experience significant benefits from digital financial development. Lastly, we explore the underlying mechanisms and emphasize the role of investment, financing, and entrepreneurship in utilizing digital finance for poverty alleviation.
本研究探讨了数字金融服务发展对城市贫困的影响。利用贫困恶性循环理论,我们建立了多维贫困测量指数来评估城市家庭的贫困状况,并提出了利用数字金融解决城市贫困问题的策略。通过基于中国 2012 年至 2020 年综合数据集的实证研究,我们评估了数字金融增长对城市贫困的调节作用。我们将城市贫困家庭分为五类--下岗职工、失业人员、流动人口、老年人和残疾人--分析表明,只有失业人员和流动人口从数字金融发展中获得了显著收益。最后,我们探讨了数字金融扶贫的内在机制,并强调了投资、融资和创业在数字金融扶贫中的作用。
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引用次数: 0
Are outstanding researchers also top teachers? Exploring the link between research quality and teaching quality 杰出的研究人员也是一流的教师吗?探索研究质量与教学质量之间的联系
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-18 DOI: 10.1016/j.seps.2024.102098
Paolo Coccorese , Roberto Dell’Anno , Marialuisa Restaino
We investigate the research-teaching relationship within a medium-sized department of an Italian university. Relying on a large number of student questionnaires over the period from 2017 to 2022, we find that instructors who are active in publishing journal articles are deemed by students to be more clear during lectures, but this perception worsens when professors achieve higher research quality (as measured via international journal rankings) and are used to publishing with many coauthors. Overall, our results point to a positive association between research productivity and teaching quality but also show that teachers pursuing greater research quality may be compelled to neglect teaching, thus highlighting a trade-off between them.
我们调查了意大利一所大学一个中等规模系内的研究与教学关系。根据2017年至2022年期间的大量学生问卷调查,我们发现,学生认为那些积极发表期刊论文的教师在讲课时思路更清晰,但当教授取得更高的研究质量(通过国际期刊排名衡量)并习惯于与许多共同作者一起发表论文时,这种看法就会恶化。总之,我们的研究结果表明,科研生产率与教学质量之间存在正相关,但同时也表明,追求更高的科研质量的教师可能会被迫忽视教学,从而突出了两者之间的权衡。
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引用次数: 0
An optimization framework to provide volunteers with task selection autonomy and group opportunities 为志愿者提供任务选择自主权和小组机会的优化框架
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-18 DOI: 10.1016/j.seps.2024.102095
Milan Preet Kaur , Jennifer A. Pazour , Rosemonde Ausseil
Nonprofit Organizations (NPOs) rely on volunteers to support community needs but struggle with making strategic volunteer-to-task assignments to enable volunteer satisfaction, and completion of complex tasks. Creation of volunteer groups and their assignment to NPO tasks can help achieve these goals by providing volunteers with opportunity for networking, collaboration, and peer learning. However, strategically creating ideal assignments is challenging because (i) there are exponentially many ways a set of volunteers can be assigned in groups; and (ii) NPOs tend to have limited and uncertain data concerning volunteers' personal preferences, availabilities, and motivations to participate. To address these challenges, this research contributes by introducing an integer programming framework to offer volunteers a menu of tasks to choose from and then based on volunteers' willingness information, creates ideal homogenous volunteer group assignments. These groups are created such that the group collectively meet a task's skill requirements and groups of volunteers of similar skill and affinity levels are prioritized. We apply the developed methodology to a case study based on a partner NPO that works with remote volunteers from multiple countries to produce online educational content. The menu creation method can improve NPO and volunteer-based performance metrics, where the most improvement is observed when a NPO is faced with very picky volunteers. Presenting volunteers with larger menus of tasks also leads to an improvement in ideal group creations. Implementing the group creation methodology helps obtain a statistically significant increase in ideal group creations but results in a tradeoff of decreased benefits to volunteers and the NPO. Finally, implementing a minimum desired group size does not severely impact most KPIs and would be beneficial for an NPO to implement as it encourages the creation and assignment of volunteer groups to tasks.
非营利组织(NPO)依赖志愿者来支持社区需求,但却很难对志愿者任务进行战略性分配,从而使志愿者满意并完成复杂的任务。创建志愿者小组并将其分配到非营利组织的任务中,可以为志愿者提供交流、合作和同伴学习的机会,从而帮助实现这些目标。然而,在战略上创建理想的任务分配是一项挑战,因为 (i) 一组志愿者可以以指数级的方式分配到不同的小组;(ii) 非营利组织对志愿者的个人偏好、可利用性和参与动机的数据往往有限且不确定。为了应对这些挑战,本研究引入了整数编程框架,为志愿者提供任务菜单供其选择,然后根据志愿者的意愿信息,创建理想的同质志愿者小组分配。在创建这些小组时,要确保小组集体满足任务的技能要求,并优先考虑技能和亲和力水平相似的志愿者小组。我们将所开发的方法应用到一个案例研究中,该案例基于一个与来自多个国家的远程志愿者合作制作在线教育内容的 NPO 合作伙伴。菜单创建方法可以改善 NPO 和志愿者的绩效指标,当 NPO 面对非常挑剔的志愿者时,该方法的改善效果最为明显。为志愿者提供更多的任务菜单也能提高理想的小组创建率。实施小组创建方法有助于在统计上显著提高理想小组创建率,但同时也会降低志愿者和 NPO 的收益。最后,实施最低理想小组规模并不会严重影响大多数关键绩效指标,而且对 NPO 来说也是有益的,因为它可以鼓励创建志愿者小组并将其分配到任务中。
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引用次数: 0
Exploring the role of governance in determining public-private investment in energy: New empirical insights from ASEAN 探索治理在决定能源领域公私投资中的作用:来自东盟的新经验见解
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-18 DOI: 10.1016/j.seps.2024.102096
Dong Peng , Umar Farooq , Mohammad Mahtab Alam , Khurshid Khudoykulov
The energy sector plays a pivotal role in driving economic growth and enhancing social welfare. However, the mobilization of sufficient investment including public and private remains crucial for advancing energy infrastructure development. Against this backdrop, this study aims to explore the role of governance in determining public-private investment in energy (PPE). The empirical analysis leverages a comprehensive dataset spanning 25 years from 1998 to 2022 and covering ASEAN nations. The study employs the CS-ARDL (cross-sectionally augmented autoregressive distributed lag) model for regression analysis to assess governance dimensions' long-term and short-term effects on PPE. Additionally, the study conducts robustness analysis by using the FMOLS (fully modified ordinary least square) model and an alternative proxy of governance i.e. EFI (economic freedom index) to validate the findings. The analysis reveals that governance exerts a significant and positive effect on PPE. Specifically, the dimensions of governance such as corruption control (COC), government effectiveness, political stability (POS), regulatory quality, etc. demonstrate robust positive associations with PPE. This positive relationship indicates that stronger governance institutions foster transparency, efficiency, and stability in the energy sector, attracting private-sector investments. The findings of this study have significant policy implications for policymakers, investors, and stakeholders seeking to promote sustainable energy transitions and socio-economic development within the ASEAN region. Specifically, it is essential to strengthen governance institutions, enhance regulatory frameworks, and foster public-private partnerships for energy investment. This study contributes to the existing literature by providing novel insights into the governance-energy investment nexus within the ASEAN region.
能源部门在推动经济增长和提高社会福利方面发挥着举足轻重的作用。然而,调动足够的投资(包括公共投资和私人投资)对于推动能源基础设施的发展仍然至关重要。在此背景下,本研究旨在探讨治理在决定能源领域公共-私人投资(PPE)中的作用。实证分析利用的是 1998 年至 2022 年 25 年间的综合数据集,涵盖东盟国家。研究采用 CS-ARDL(横截面增强自回归分布滞后)模型进行回归分析,以评估治理维度对 PPE 的长期和短期影响。此外,研究还使用 FMOLS(完全修正的普通最小二乘法)模型和治理的替代指标 EFI(经济自由度指数)进行稳健性分析,以验证研究结果。分析表明,治理对 PPE 有显著的积极影响。具体而言,治理的各个维度,如腐败控制(COC)、政府效率、政治稳定性(POS)、监管质量等,都与 PPE 呈稳健的正相关关系。这种正相关关系表明,更强有力的治理机构能够提高能源行业的透明度、效率和稳定性,从而吸引私营部门的投资。本研究的结论对政策制定者、投资者和利益相关者促进东盟地区可持续能源转型和社会经济发展具有重要的政策意义。具体而言,必须加强治理机构、强化监管框架并促进公私合作,以促进能源投资。本研究通过对东盟地区治理与能源投资关系的新见解,为现有文献做出了贡献。
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Socio-economic Planning Sciences
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