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On education as a risky asset: Should the government help the working students? 教育作为一种风险资产:政府应该帮助打工学生吗?
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-22 DOI: 10.1016/j.seps.2025.102388
Corrado Andini , Pedro Telhado Pereira
One of the most important fields of government intervention in the economy is the field of education. In most countries, the government directly manages the provision of education up the secondary level and strongly finances higher-education activities, a policy that is seen as being useful to stimulate growth. Thus, a crucial issue from a socio-economic planning perspective is how to allocate the budget resources efficiently. A key argument in favour of government expenditure is that more education in a society today leads to higher income and tax receipts tomorrow. It follows that the initial public investment is somehow recovered at a later point in time. This argument, however, is typically based on the empirical evidence regarding the average wage returns for individuals who behave like in a standard human-capital model, i.e. individuals who stop schooling and start working. An understudied issue is whether it holds for working students that nowadays represent a significant share of the student population. This paper fills this gap in the literature by providing an economic rationale for government support to working students (e.g. special rights for these students while in higher education). It does so by performing a novel investigation of the return-risk link in education. The way in which it accounts for uncertainty due to pure individual luckiness is unique in the literature.
政府干预经济的最重要领域之一是教育领域。在大多数国家,政府直接管理中学以上教育的提供,并大力资助高等教育活动,这一政策被视为有助于刺激经济增长。因此,从社会经济规划的角度来看,一个关键问题是如何有效地分配预算资源。支持政府支出的一个关键论点是,今天社会中更多的教育将导致明天更高的收入和税收收入。由此可见,最初的公共投资会在稍后的时间点以某种方式收回。然而,这一论点通常是基于对行为符合标准人力资本模型的个人(即停止学业开始工作的个人)的平均工资回报的经验证据。一个未被充分研究的问题是,它是否适用于如今占学生总数很大一部分的在职学生。本文通过为政府支持在职学生(例如,这些学生在接受高等教育期间的特殊权利)提供经济依据,填补了文献中的这一空白。它通过对教育中的回报-风险联系进行一项新颖的调查来做到这一点。它解释纯粹的个人运气带来的不确定性的方式在文献中是独一无二的。
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引用次数: 0
Firms’ disclosure of university ties on their website: An explorative analysis of its role for innovation performance 企业在其网站上披露大学关系:其对创新绩效作用的探索性分析
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-22 DOI: 10.1016/j.seps.2025.102387
Bastian Krieger , Stefania Scrofani , Linus Strecke
This paper explores a novel web-based indicator to examine how firms' disclosure of university ties on their websites shapes their innovation performance. First, using data from the German Community Innovation Survey 2023 and the Tenders Electronic Daily database, combined with firms' disclosure of university ties on their website provided by ISTARI.AI, we investigate the indicator's properties by comparing the most frequently disclosed types of university ties: innovation collaborations, university customers, and employee education, with firms' survey responses and their procurement contracts. Second, we analyze how website disclosure of university ties relates to firms' revenues from new or significantly improved products or services, applying Ordinary Least Squares, a Control Function, and a Lewbel Instrumental Variable approach. In sum, the website disclosure of ties with universities is significantly associated with their related survey items and procurement contracts. Moreover, website disclosures show no consistent association with revenues from innovations new-to-the-firm. A consistent statistically significant relationship emerges only for small firms, where website disclosures are associated with higher revenues from market novelties. These findings suggest that our web-based indicator captures ties between firms and universities and that disclosing these ties on firms' websites may influence the market success of their novel products.
本文探索了一种新的基于网络的指标,以检验企业在其网站上披露大学关系如何影响其创新绩效。首先,使用来自德国社区创新调查2023和招标电子日报数据库的数据,结合ISTARI提供的公司在其网站上披露的大学关系。通过比较最常披露的大学关系类型:创新合作、大学客户和员工教育,以及企业的调查回应和采购合同,我们调查了该指标的属性。其次,我们运用普通最小二乘法、控制函数和卢贝尔工具变量方法,分析了网站披露大学关系与公司从新的或显著改进的产品或服务中获得的收入之间的关系。综上所述,网站披露与高校的关系与其相关的调查项目和采购合同有着显著的相关性。此外,网站披露的信息显示,与公司的创新收入没有一致的联系。一个一致的统计显著的关系只出现在小公司,网站披露与更高的收入来自市场的新奇。这些发现表明,我们的基于网络的指标捕捉到了企业与大学之间的联系,而在企业网站上披露这些联系可能会影响其新产品的市场成功。
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引用次数: 0
Robust optimization of emergency resource location and coupling allocation considering multiple uncertainties 考虑多不确定性的应急资源配置与耦合分配鲁棒优化
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-20 DOI: 10.1016/j.seps.2025.102391
Jingwen Li , Xiang Zhang , Fengxin Dai , Liang Tang , Sitong Liu
Emergency resource location decision is strategic due to its high cost and long-lasting implications. There exist multiple potential uncertainties in disaster events that could lead to the current optimal location decision becoming suboptimal in the future, so it is crucial to consider possible emergency resource allocation as recourse decisions. This paper addresses the emergency resource location and allocation issue under uncertain demand, uncertain transportation cost, and disruption risk and proposes a two-stage robust framework. Especially, we categorize emergency resources into personnel and materials and consider their coupling relationship. The two-stage robust framework is reformulated utilizing duality, Karush-Kuhn-Tucker condition, and linearization methods. In addition, we develop an improved column-and-constraint generation algorithm to solve the proposed models. The experiments illustrate that the developed two-stage framework surpasses the established single-stage robust framework, and the presented improved column-and-constraint generation algorithm exhibits superior performance in comparison to the benders-dual cutting plane algorithm. Furthermore, the results reveal that increased fixed costs of opening supply points and uncertainty levels lead to higher total costs and computational time for the proposed seven models considering combinations of different uncertainties, with disruption risk significantly impacting model performance. To enhance resilience, it is recommended that emergency logistics decision-makers prioritize investments in transportation infrastructure and storage capacities at key supply points while adjusting uncertain budget parameters and disturbance ratios to optimize location and resource allocation, ensuring timely delivery of essential resources to disaster-affected areas.
应急资源选址决策由于其高成本和长期影响而具有战略意义。灾害事件中存在多种潜在的不确定性,这些不确定性可能导致当前的最优选址决策在未来成为次优决策,因此将可能的应急资源分配作为追索权决策来考虑至关重要。研究了不确定需求、不确定运输成本和不确定中断风险下的应急资源定位与分配问题,提出了一个两阶段鲁棒框架。特别地,我们将应急资源分为人员和物资两类,并考虑它们之间的耦合关系。利用对偶性、Karush-Kuhn-Tucker条件和线性化方法重新制定了两阶段鲁棒框架。此外,我们开发了一种改进的列约束生成算法来求解所提出的模型。实验结果表明,所开发的两阶段鲁棒框架优于已建立的单阶段鲁棒框架,改进的列约束生成算法与弯管-双切割平面算法相比具有优越的性能。此外,研究结果表明,考虑不同不确定性的组合,开放供应点的固定成本和不确定性水平的增加导致所提出的七个模型的总成本和计算时间增加,中断风险显著影响模型的性能。建议应急物流决策者优先考虑关键供应点的交通基础设施和存储能力投资,同时调整不确定的预算参数和干扰比,优化位置和资源配置,确保关键资源及时送达灾区。
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引用次数: 0
Are European regions on the right track to achieve the 2030 strategic education and training targets? A comprehensive performance assessment 欧洲地区在实现2030年教育培训战略目标方面是否走在正确的轨道上?全面的绩效评估
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-20 DOI: 10.1016/j.seps.2025.102390
Maria João Durães , Flávia Barbosa , Giovanna D’Inverno , Ana S. Camanho
This paper focuses on the comprehensive assessment of regional performance in attaining the 2030 Strategic Framework for Education and Training (ET2030) established by the European Union. To this end, we propose a composite indicator framework based on robust Benefit-of-the-doubt models empirically validated through an extensive analysis of data spanning 32 countries and 101 NUTS-I level regions for 2019. We integrate contextual variables into a robust conditional model to ensure an equitable evaluation among regions grappling with distinct circumstances. Specifically, the unemployment rate and the percentage of the population holding national citizenship are considered. Moreover, the research identifies best practices from high-performing regions that can serve as benchmarks for underperforming areas. Analyzing regional-level data is crucial for understanding disparities between European regions and within countries.
本文侧重于对实现欧盟制定的2030年教育和培训战略框架(ET2030)的区域绩效进行综合评估。为此,我们提出了一个基于稳健的怀疑无罪模型的综合指标框架,该模型通过对2019年32个国家和101个nut - i级别区域的数据进行广泛分析进行了实证验证。我们将上下文变量整合到一个稳健的条件模型中,以确保在面临不同情况的地区之间进行公平评估。具体来说,失业率和持有本国国籍的人口比例被考虑在内。此外,该研究还确定了表现优异地区的最佳做法,这些做法可以作为表现不佳地区的基准。分析区域一级的数据对于了解欧洲区域之间和国家内部的差异至关重要。
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引用次数: 0
Mapping research achievements on urban air mobility: A systematic literature review 城市空中交通制图研究成果:系统文献综述
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-20 DOI: 10.1016/j.seps.2025.102392
Margarida R. Santos , Sofia Kalakou , Fernando A.F. Ferreira
Urban Air Mobility (UAM) is a promising component of future mobility systems. To ensure its smooth and viable implementation, it is crucial that authorities, organizations, public services and stakeholders in general consider not only economic aspects but also environmental, safety and socio-economic factors through a holistic approach. However, the current literature primarily focuses on specific subtopics of UAM individually, failing to address the topic in an integrated and comprehensive manner. This study aims to overcome this limitation by conducting a Systematic Literature Review (SLR) on UAM, analyzing a database of 129 articles published between 2017 and 2023. Specifically, a bibliographic coupling analysis and a Multiple Correspondence Analysis (MCA) were performed. The results include a list of 150 indicators used to assess environmental, safety and socio-economic impacts of UAM, as well as the identification of four core thematic clusters: (1) UAM Technology and its Sustainability; (2) Environmental Assessment; (3) Traffic Management for the Airspace Industry; and (4) Passenger Transport and Demand Management. The findings of this research complement existing literature and contribute to the development of the field by shedding light on UAM’s key stakeholders, impacts and the indicators used to assess these impacts.
城市空中交通(UAM)是未来交通系统的一个有前途的组成部分。为了确保其顺利可行的实施,至关重要的是,当局、组织、公共服务和一般利益攸关方不仅要考虑经济方面,还要通过整体方法考虑环境、安全和社会经济因素。然而,目前的文献主要侧重于UAM的具体子主题,未能以综合和全面的方式解决该主题。为了克服这一局限性,本研究分析了2017年至2023年发表的129篇论文的数据库,对UAM进行了系统性文献综述(SLR)。具体来说,进行了文献耦合分析和多重对应分析(MCA)。结果包括用于评估UAM的环境、安全和社会经济影响的150个指标清单,以及四个核心专题集群的确定:(1)UAM技术及其可持续性;(2)环境评价;(三)空域行业交通管理;(4)旅客运输与需求管理。这项研究的发现补充了现有的文献,并通过阐明UAM的主要利益相关者,影响和用于评估这些影响的指标,为该领域的发展做出了贡献。
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引用次数: 0
Firm-level evidence on AI-driven output expansion and productivity in China 中国人工智能驱动的产出扩张和生产率的企业层面证据
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-19 DOI: 10.1016/j.seps.2025.102389
Quan Sun, Minjie Huang
Artificial intelligence (AI) has the potential to transform productivity across industries, yet firm-level empirical evidence remains limited in emerging economies. This paper examines the impact of AI adoption on firm-level output growth and total factor productivity, using data from Chinese listed companies between 2009 and 2021. We measure AI investment through firm-level spending on software, cloud services, intellectual property, and advanced digital technologies disclosed in financial statements. This measurement approach reflects AI’s role as a general-purpose technology increasingly embedded in digital infrastructure and business processes—features that are not well captured by traditional proxies such as industrial robot usage. To address endogeneity, we employ a nonparametric production function estimation with instrumental variables, using regional variation in digital economy policy as an exogenous source. Results show that AI investment significantly boosts output, particularly in light manufacturing, chemicals, and high-tech sectors. While intermediate materials remain the primary input, AI’s contribution to aggregate output growth has steadily increased. AI adoption also enhances firms’ resilience during downturns, though the benefits are uneven—large firms gain substantially, whereas small and medium enterprises see more modest effects. Further analysis reveals short-run implementation costs that can temporarily reduce productivity, though persistent AI adoption yields divergent long-run outcomes across industries. Quantile regressions show that lower-productivity firms often realize initial gains that fade or reverse, while frontier firms enjoy sustained improvements. Finally, we identify strong positive spillovers: AI investments by nearby firms generate external productivity gains, highlighting the importance of innovation clusters. Overall, our findings position AI as a key driver of output and productivity in emerging economies, and emphasize the need for targeted, inclusive policy frameworks to support its widespread and equitable adoption.
人工智能(AI)有可能改变各行各业的生产率,但在新兴经济体,企业层面的经验证据仍然有限。本文利用2009年至2021年中国上市公司的数据,考察了人工智能采用对企业层面产出增长和全要素生产率的影响。我们通过财务报表中披露的企业在软件、云服务、知识产权和先进数字技术方面的支出来衡量人工智能投资。这种测量方法反映了人工智能作为一种通用技术的角色,越来越多地嵌入到数字基础设施和业务流程中,而传统的代理(如工业机器人的使用)无法很好地捕捉到这些特征。为了解决内生性问题,我们采用了带有工具变量的非参数生产函数估计,将数字经济政策的区域差异作为外生来源。结果显示,人工智能投资显著提高了产出,特别是在轻工业、化工和高科技领域。虽然中间材料仍然是主要投入,但人工智能对总产出增长的贡献已经稳步增加。人工智能的采用也增强了企业在经济低迷时期的抗风险能力,尽管收益并不均衡——大公司收益显著,而中小企业的影响则较为温和。进一步的分析表明,短期的实施成本可能会暂时降低生产率,尽管持续采用人工智能会在各个行业产生不同的长期结果。分位数回归表明,生产率较低的公司通常会实现最初的收益,但这些收益会逐渐消退或逆转,而前沿公司则享有持续的改善。最后,我们发现了强大的正向溢出效应:附近企业的人工智能投资产生了外部生产率收益,凸显了创新集群的重要性。总体而言,我们的研究结果将人工智能定位为新兴经济体产出和生产力的关键驱动力,并强调需要有针对性的包容性政策框架,以支持其广泛和公平的采用。
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引用次数: 0
Delivering fresh produce during a lockdown: The post-pandemic pickup and distribution problem with time constraints 在封锁期间运送新鲜农产品:大流行后的采摘和分配问题与时间限制
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-14 DOI: 10.1016/j.seps.2025.102383
Tianyang Cai, Yusen Ye
Motivated by the logistical challenges of distributing fresh produce during prolonged, government-enforced lockdowns, we investigate a novel problem: the Post-Pandemic Pickup and Distribution Problem with Time Constraints (PP-PDPTC). In the post-pandemic phase, supply and demand stabilize, yet food distribution remains constrained by rigid time windows and institutional rules. This setting requires a careful balance of effectiveness (demand fulfilment), equity (fair distribution), and efficiency (timely delivery). We propose two models for equity-aware food allocation. The first assumes that decision-makers possess prior knowledge of acceptable inequality levels (e.g., a maximum Gini coefficient) and treats equity as a constraint; the second embeds equity directly in the objective function, enabling dynamic trade-offs. We further devise a Transfer and Deprivation strategy that reallocates surplus food from overserved areas or trims excess allocations to improve equity. Coupled with an Adaptive Large Neighborhood Search algorithm for routing, this yields a two-stage heuristic framework. We test the models on a real-world case from Shanghai's Omicron lockdown in March 2022. Results reveal key trade-offs: pursuing equity can raise food waste under oversupply, increasing fleet size chiefly boosts effectiveness, whereas expanding vehicle capacity benefits equity. The heuristic consistently surpasses commercial solvers in solution quality and runtime, offering a practical tool for post-pandemic fresh-produce distribution under institutional constraints.
受长期政府强制封锁期间配送新鲜农产品的后勤挑战的激励,我们研究了一个新问题:大流行后的时间限制拾取和配送问题(PP-PDPTC)。在大流行后阶段,供需趋于稳定,但粮食分配仍然受到严格的时间窗口和体制规则的限制。这种设置需要对有效性(满足需求)、公平性(公平分配)和效率(及时交付)进行仔细的平衡。我们提出了两个公平的粮食分配模型。第一种假设决策者拥有可接受的不平等水平(例如,最大基尼系数)的先验知识,并将公平视为一种约束;第二种方法将公平直接嵌入到目标函数中,从而实现动态权衡。我们进一步设计了一项转移和剥夺战略,从供应过剩的地区重新分配剩余粮食或削减超额分配以提高公平性。结合自适应大邻域搜索路由算法,这产生了一个两阶段启发式框架。我们在2022年3月上海欧米克隆封锁的现实案例中测试了这些模型。结果揭示了关键的权衡:在供应过剩的情况下,追求公平会增加食物浪费,增加车队规模主要是为了提高效率,而扩大车辆容量则有利于公平。该启发式算法在解决方案质量和运行时间方面始终优于商业求解器,为疫情后在制度约束下的新鲜农产品分销提供了实用工具。
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引用次数: 0
Designing an agricultural waste collection and transport network based on robust optimization 基于鲁棒优化的农业废弃物收集运输网络设计
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-14 DOI: 10.1016/j.seps.2025.102375
Yanju Chen , Yan Liu , Yuhan Wang
Agricultural waste, a widely available resource, has long been plagued by issues of dispersion and inefficient collection. Its improper handling poses serious threats to human health, ecological environment, and economic development. Waste collection and recycling are among the effective measures currently being implemented in many regions to promote sustainable and green development. Waste management is a complex planning issue in an uncertain environment. Designing a more comprehensive and practical agricultural waste collection and transport (AWCT) network is crucial for effective agricultural waste management. This location–allocation–routing problem (LARP) aims to optimize the locations of collection centers (CCs) and processing centers (PCs), effectively allocate waste collected demands, and determine the optimal vehicle routes. This paper focuses on designing a robust AWCT network which can deal with the challenge of uncertainty due to incomplete distribution information. Firstly, two ambiguity sets are proposed to characterize the amount of agricultural waste collected and the operating cost of CC under partial distribution information. Then a distributionally robust optimization (DRO) model is proposed and transformed into a computable mixed-integer linear programming (MILP) form equivalently. Furthermore, a Benders decomposition (BD) algorithm is developed for solving the MILP model. Finally, this method is applied to a case in Shenyang, Liaoning Province, China, to demonstrate the effectiveness of the proposed model and algorithm. The main experimental results show that: (1) The network designed by the proposed model can withstand the influence of uncertainty in the amount of agricultural waste collected and the operating cost of CC at a relatively small robustness price; (2) Managers can adjust the parameters according to their own preferences to achieve a balance between total cost and robustness. The proposed AWCT network design model has certain application prospects. It can provide practical decision-making support for formulating targeted policies and strategies, so as to promote sustainable development and resource utilization, and offer a comprehensive framework for agricultural waste management practices.
农业废弃物是一种广泛利用的资源,长期以来一直存在着分散和低效收集的问题。处置不当对人类健康、生态环境和经济发展构成严重威胁。垃圾收集和回收利用是目前许多地区正在实施的有效措施之一,以促进可持续和绿色发展。在不确定的环境下,废物管理是一个复杂的规划问题。设计一个更全面和实用的农业废物收集和运输网络对于有效的农业废物管理至关重要。定位-分配-路径问题(LARP)旨在优化收集中心(cc)和处理中心(pc)的位置,有效分配废物收集需求,并确定最优车辆路线。设计了一种鲁棒的AWCT网络,该网络能够处理由于分布信息不完全导致的不确定性挑战。首先,提出了两个模糊集来表征部分分布信息下的农业废弃物收集量和CC运行成本;然后提出了分布鲁棒优化(DRO)模型,并将其等效转化为可计算的混合整数线性规划(MILP)形式。在此基础上,提出了求解MILP模型的Benders分解算法。最后,将该方法应用于辽宁省沈阳市的一个案例,验证了该模型和算法的有效性。主要实验结果表明:(1)该模型设计的网络能够以较小的鲁棒性价格承受农业废弃物收集量和CC运行成本不确定性的影响;(2)管理者可以根据自己的偏好调整参数,以达到总成本和鲁棒性之间的平衡。所提出的AWCT网络设计模型具有一定的应用前景。它可以为制定有针对性的政策和战略提供切实可行的决策支持,从而促进可持续发展和资源利用,并为农业废弃物管理实践提供一个综合框架。
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引用次数: 0
A review on multi-criteria decision-making in passenger transportation: Trends, methods, and future directions 客运多准则决策研究进展:趋势、方法及未来发展方向
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-13 DOI: 10.1016/j.seps.2025.102384
Eren Kamber, Buse Yücel, Mehmet Gümüş
This study provides a systematic review of the application of Multi-Criteria Decision-Making (MCDM) methods in passenger transportation. Analyzing 74 studies published between 2009 and 2025, the review classifies research based on transportation modes, methodological approaches, and sustainability dimensions. The findings reveal an increasing preference for fuzzy-based MCDM methods such as Fuzzy-AHP, TOPSIS, VIKOR, and DEMATEL to manage uncertainties in complex decision problems. Although sustainability principles are included in many studies, only a minority treat sustainability as the primary focus. The literature emphasizes service quality evaluation, passenger satisfaction, and system efficiency, with notable gaps in comprehensive sustainability-focused models and underexplored domains like maritime passenger safety. Keyword and research area analyses confirm the interdisciplinary nature of the field, linking transportation with engineering, computer science, environmental sciences, and economics. The study concludes with specific future research directions, including user-friendly hybrid MCDM frameworks, real-time data integration, and expanded focus on social and environmental sustainability. These recommendations aim to guide researchers and practitioners toward more inclusive, practical, and sustainable transportation decision-making models.
本文对多准则决策(MCDM)方法在客运决策中的应用进行了系统综述。分析了2009年至2025年间发表的74项研究,该综述根据交通方式、方法方法和可持续性维度对研究进行了分类。研究结果表明,越来越多的人倾向于基于模糊的MCDM方法,如Fuzzy-AHP、TOPSIS、VIKOR和DEMATEL,以管理复杂决策问题中的不确定性。虽然许多研究都包括可持续性原则,但只有少数研究将可持续性作为主要焦点。文献强调服务质量评价、旅客满意度和系统效率,在以综合可持续性为重点的模型和海上旅客安全等未充分探索的领域存在显著差距。关键词和研究领域分析证实了该领域的跨学科性质,将交通运输与工程学、计算机科学、环境科学和经济学联系起来。研究总结了未来的具体研究方向,包括用户友好型混合MCDM框架、实时数据集成以及扩大对社会和环境可持续性的关注。这些建议旨在指导研究人员和实践者建立更具包容性、实用性和可持续性的交通决策模型。
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引用次数: 0
Research on the efficiency of technology transfer in Chinese universities from the perspective of supply and demand 供求视角下的中国高校技术转移效率研究
IF 5.4 2区 经济学 Q1 ECONOMICS Pub Date : 2025-11-13 DOI: 10.1016/j.seps.2025.102382
Shiqing Liu , Minyi He , Qian Zhou , Jun Ma , Zhen Zhao
The primary challenge in China's university technology transfer ecosystem lies in the misalignment between technological achievement supply and market demand. Compounded by regional economic disparities across China's vast territory, significant variations exist in technology transfer performance among universities in different geographical areas. This study employs DEAP2.1 software to implement both the BCC model and the Malmquist index method, enabling comprehensive static and dynamic efficiency evaluations of decision-making units (DMUs) - an innovative approach that addresses current research gaps. Focusing on 31 Chinese mainland regions categorized into four economic zones (eastern, central, western, and northeastern), our analysis reveals the eastern region demonstrates superior supply-demand matching efficiency, while central and western regions exhibit suboptimal resource allocation and lagging technological advancement. Most regions require substantial improvement in technological innovation capacity on the demand side. These findings suggest the need for region-specific policy interventions: Eastern regions may benefit from optimization strategies, whereas central and western regions require transformative policies emphasizing resource reallocation and innovation enhancement. This research contributes both theoretical and practical insights for improving China's technology transfer effectiveness, while offering valuable implications for other economies facing similar developmental challenges.
中国大学技术转移生态系统面临的主要挑战是技术成果供给与市场需求的错位。在中国广袤的土地上,由于地区经济差异,不同地理区域的大学之间的技术转移绩效存在显著差异。本研究采用DEAP2.1软件实现了BCC模型和Malmquist指数方法,实现了决策单元(dmu)的静态和动态综合效率评估,这是一种解决当前研究空白的创新方法。以中国大陆31个地区为研究对象,将其划分为东部、中部、西部和东北四大经济区,结果表明,东部地区的供需匹配效率较高,而中西部地区则表现为资源配置次优和技术进步滞后。大多数区域需要大幅度提高需求端的技术创新能力。研究结果表明,东部地区可能受益于优化策略,而中西部地区则需要注重资源再配置和创新的变革性政策。该研究为提高中国的技术转移效率提供了理论和实践见解,同时也为面临类似发展挑战的其他经济体提供了宝贵的启示。
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引用次数: 0
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Socio-economic Planning Sciences
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