Socio-economic Planning Sciences最新文献_第9页

Multi-period capacity utilization measurement using a TOPSIS-DEA approach: A case study of the forestry industry 基于TOPSIS-DEA方法的多期产能利用率测度：以林业为例

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-24 DOI: 10.1016/j.seps.2025.102332

Yan Huang , Hanting Yu , Jiawei Wang , Meiling Li

Excess capacity has emerged as a global challenge, limiting resource allocation efficiency and hindering sustainable industrial development. Accurate measurement of capacity utilization (CU) is therefore essential. To meet this need, we propose a new multi-period CU measurement model that integrates the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and DEA (Data Envelopment Analysis) approaches. The model first constructs positive and negative production possibility sets, integrating the best and worst production states of decision-making units (DMUs) across periods. Using duality theory and multi-objective programming theory, Pareto optimality is proven to be equivalent to DEA efficiency in these sets. This equivalence serves as a foundation for defining benchmarks and ensures their scientific validity. Building on this foundation, positive and negative CU measurement models are developed, integrating the TOPSIS concept of relative closeness to construct a composite CU indicator. To demonstrate its applicability, the model is implemented using forestry sector data from 31 Chinese provinces for the period 2011–2020 and benchmarked against traditional methods. The results show that the efficiency evaluation based on the benchmark improves ranking reliability and allows comparisons across periods. Furthermore, the new CU indicator captures both positive and negative adjustment needs of DMUs, providing a more comprehensive and objective assessment of CU. This study provides a more precise quantitative tool for capacity regulation, offering important theoretical and practical implications for promoting industrial restructuring and sustainable development.

产能过剩已经成为一个全球性的挑战，它限制了资源配置效率，阻碍了工业的可持续发展。因此，准确测量容量利用率（CU）是必要的。为了满足这一需求，我们提出了一种新的多周期CU测量模型，该模型集成了TOPSIS （Order Preference Technique for Order Preference by Similarity To Ideal Solution）和DEA （Data Envelopment Analysis）方法。该模型首先构建正生产可能性集和负生产可能性集，整合决策单元（dmu）在不同时期的最佳和最差生产状态。利用对偶理论和多目标规划理论，证明了Pareto最优等价于DEA效率。这种等效性是定义基准的基础，并确保其科学有效性。在此基础上，建立了正、负CU测量模型，并结合TOPSIS相对接近度概念构建了一个复合CU指标。为了证明该模型的适用性，我们使用了中国31个省份2011-2020年的林业部门数据，并以传统方法为基准进行了验证。结果表明，基于基准的效率评估提高了排名的可靠性，并允许跨时期的比较。此外，新的CU指标同时反映了dmu的正调整和负调整需求，为CU提供了更全面和客观的评估。本研究为产能调控提供了更为精准的量化工具，对促进产业结构调整和可持续发展具有重要的理论和实践意义。

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引用次数: 0

Impact mechanism and contribution measurement of digital transformation on scale expansion of Chinese enterprises 数字化转型对中国企业规模扩张的影响机制及贡献测度

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-22 DOI: 10.1016/j.seps.2025.102331

Meng Tian , Yiwei Wang , Lei Han , Zhuowen Yang

Accelerating digital transformation (DT) and facilitating reasonable enterprise scale expansion (ESE) is critical for integrating the digital and traditional economies. This paper examines the scale expansion characteristics of Chinese A-share listed enterprises and constructs a “two-level, four-category” cost model to analyze the theoretical relationship between DT and ESE. The findings reveal that DT significantly promotes the asymmetrical expansion of the enterprise employee and revenue scales, with revenue scale expansion being more prominent. Heterogeneity tests show that DT has a stronger impact on large enterprises, non-high-tech enterprises, and those in developed regions, leading to increased scale differentiation. Mechanism and economic consequence analysis highlight that DT reduces external transaction costs, facilitating ESE, while enhanced market share improves production efficiency. This paper provides theoretical and empirical insights into evolving corporate growth patterns in the digital economy and suggests policy recommendations for leveraging digital transformation to promote employment growth.

加快数字化转型，促进企业规模合理扩张，对数字经济与传统经济的融合至关重要。本文考察了中国a股上市企业的规模扩张特征，构建了“两层四类”成本模型，分析了DT与ESE之间的理论关系。研究发现，DT显著促进了企业员工规模和收入规模的不对称扩张，其中收入规模扩张更为突出。异质性检验表明，DT对大型企业、非高新技术企业和发达地区企业的影响更大，导致规模分化加剧。机制和经济后果分析表明，DT降低了外部交易成本，促进了ESE，而市场份额的提高提高了生产效率。本文对数字经济中不断变化的企业增长模式提供了理论和实证见解，并提出了利用数字化转型促进就业增长的政策建议。

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引用次数: 0

Resolving stakeholder conflicts in high-speed railway route planning: An overlapping network and evolutionary game approach 解决高速铁路线路规划中的利益相关者冲突：一个重叠网络和进化博弈方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-20 DOI: 10.1016/j.seps.2025.102330

Fengting Zhang , Pengcheng Xiang , Dan Wang , Jiafu Su

The planning of high-speed railway corridors in ecologically sensitive areas faces significant challenges. Stakeholder conflicts arising from multi-objective conflict often induce decision-making impasses and project delays. Effectively identifying pivotal decision makers and facilitating consensus constitutes a critical challenge. This study first applied the Lancichinetti–Fortunato method to stakeholder relationship networks, detecting overlapping communities that revealed two distinct decision-maker categories: overlapping and non-overlapping decision makers. Subsequently, the most conflicted subgroup pairs and decision-maker dyads were identified using decision maker weights and community weights. To resolve decision conflicts during the consensus-building, a two-party evolutionary game model was constructed to examine strategic interactions between overlapping and conflicting decision makers. Finally, a consensus adjustment method based on the decision makers of the largest conflict is proposed to determine the final solution choice. Sensitivity analysis of the evolutionary game revealed that public attention significantly drives strategic shifts for both overlapping decision makers and conflicting decision makers. In contrast, moral hazard losses only regulate strategy evolution speed without altering direction. Additionally, the conflict intensity between construction and ecological spaces exerts opposing regulatory effects on the two groups’ strategic choices. This study provides theoretical foundations for managing non-cooperative behavior and achieving consensus equilibrium among heterogeneous subgroups.

生态敏感区高速铁路廊道规划面临重大挑战。多目标冲突引发的干系人冲突往往会导致决策陷入僵局和项目延误。有效地确定关键决策者和促进协商一致是一项重大挑战。本研究首先将Lancichinetti-Fortunato方法应用于利益相关者关系网络，发现重叠社区揭示了两种不同的决策者类别：重叠决策者和非重叠决策者。随后，使用决策者权重和社区权重确定冲突最严重的子群体对和决策者二对。为了解决共识构建过程中的决策冲突，本文构建了一个两方演化博弈模型来考察重叠和冲突的决策者之间的战略互动。最后，提出了一种基于最大冲突的决策者共识调整方法来确定最终的解决方案选择。进化博弈的敏感性分析表明，公众关注对重叠和冲突决策者的战略转移都有显著的驱动作用。相反，道德风险损失只调节策略演化的速度，而不改变策略演化的方向。此外，建筑与生态空间的冲突强度对两个群体的战略选择产生了相反的调节作用。本研究为管理非合作行为和实现异质子群体间的共识均衡提供了理论基础。

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引用次数: 0

SLEP-less in Santiago: The effect of local educational services in Chile 圣地亚哥的睡眠不足：智利当地教育服务的影响

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-17 DOI: 10.1016/j.seps.2025.102329

Rómulo A. Chumacero , Leonardo Letelier S

This paper presents a newly conducted evaluation of a reform to the educational system in Chile, implemented in 2018. The reform created school districts known as Local Education Services (SLEP), marking a shift away from the decentralized spirit of the voucher system instituted in 1981. We conduct several econometric exercises to evaluate its effects on standardized test scores (SIMCE) taken by 4th-grade students. The results consistently show no significant effect. Robustness checks—including the inclusion of covariates, changes in control group composition, and tests of the parallel trends assumption—confirm the validity of these findings. We extend the analysis to 8th- and 10th-grade students and obtain similar results. Taken together, the evidence indicates that the SLEP reform has not led to measurable improvements in academic achievement.

本文介绍了对2018年实施的智利教育体系改革的最新评估。这项改革创建了被称为地方教育服务（SLEP）的学区，标志着1981年建立的代金券制度的分散精神的转变。我们进行了几个计量经济学练习来评估其对四年级学生标准化考试成绩（SIMCE）的影响。结果一致显示无显著效果。稳健性检查——包括协变量的纳入、对照组组成的变化和平行趋势假设的检验——证实了这些发现的有效性。我们将分析扩展到八年级和十年级的学生，得到了类似的结果。综上所述，有证据表明，SLEP改革并没有导致学业成绩的显著提高。

引用次数: 0

Modeling socio-spatial resilience of public engagement with urban spaces 建立公众参与城市空间的社会空间弹性模型

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-16 DOI: 10.1016/j.seps.2025.102327

Qianqi Guo, Yuliang Wang

As urbanization continues to advance, Public Open Spaces (POS) have become an essential part of daily life. In the face of increasingly frequent crises such as natural disasters, pandemics, and socioeconomic upheavals, these spaces play a crucial role in maintaining the basic functions of cities and enhancing the well-being of urban residents. However, the current research on how the public perception of POS affects urban resilience rarely involves the analysis of the resistance and recovery capabilities of public in the face of disasters. Using geotagged social media big data, this paper focuses on investigating the visitation frequency, sentiment analysis, and Cultural Ecosystem Services (CES) in Western China accross the COVID-19 pandemic era and its recovery. Based on the analysis, we calculated sentiment scores and created a CES dictionary to characterize public perception. We thenemployed a PLS-SEM model to analyze the social, economic, and environmental factors influencing public sentiment toward POS. The results show that public crises lead to significant declines and fluctuations in visitation frequency and sentiment, and also alter public CES behavioral patterns. Moreover, the sentiment recovery capacity enhances the sentiment resistance capacity. High-quality urban ecological and cultural environments, healthcare infrastructure, and active social media discussions contribute to public resilience, while higher urbanization rates and population densities have the opposite effect. Additionally, during the pandemic, public interest in recreational CES was stronger than in other periods. Such public-based research provides a more comprehensive understanding of urban resilience, and offers opportunities to improve resilience policies and enhance public well-being.

随着城市化进程的不断推进，公共开放空间（POS）已成为人们日常生活中不可或缺的一部分。面对日益频繁的自然灾害、流行病和社会经济动荡等危机，这些空间在维护城市基本功能和提高城市居民福祉方面发挥着至关重要的作用。然而，目前关于公众对POS的认知如何影响城市韧性的研究很少涉及公众面对灾害的抵抗和恢复能力的分析。利用地理标记社交媒体大数据，对新冠肺炎疫情及其恢复期间中国西部地区的访问频率、情感分析和文化生态系统服务（CES）进行了研究。在此基础上，我们计算了情绪得分，并创建了一个CES词典来描述公众的看法。运用PLS-SEM模型分析了社会、经济和环境因素对公共服务满意度的影响。结果表明，公共危机导致公共服务的访问频率和情绪显著下降和波动，并改变了公共服务的行为模式。此外，情绪恢复能力增强了情绪抵抗能力。高质量的城市生态和文化环境、卫生保健基础设施和活跃的社交媒体讨论有助于提高公众的复原力，而较高的城市化率和人口密度则会产生相反的效果。此外，在大流行期间，公众对娱乐性消费电子产品的兴趣比其他时期更强烈。这种基于公众的研究提供了对城市韧性更全面的理解，并为改善韧性政策和提高公众福祉提供了机会。

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引用次数: 0

Trickle-down or siphon: The spillover effects of the digital economy on green innovation from the perspective of the circular economy 涓滴或虹吸：循环经济视角下数字经济对绿色创新的溢出效应

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-16 DOI: 10.1016/j.seps.2025.102328

Yi Qiu , Cong Gao , Na Song

In addition to the transformations driven by digitalization and sustainability, the digital economy has opened new paths and revitalized the advancement of green innovation. As a key driving force of the circular economy system, green innovation can effectively promote sustainable development and high-quality economic growth. This study employs a panel dataset encompassing 108 cities at and above the prefectural-level within the Yangtze River Economic Belt from 2011–2021 to investigate the spillover impacts and transmission mechanisms of the digital economy on green innovation through the Spatial Durbin Model through empirical observations. The findings reveal an uneven distribution of the digital economy and green innovation within the Yangtze River Economic Belt, with the downstream area exhibiting more significant levels than the middle and upper sections. While the digital economy enhances green innovation in local cities, it also has a trickle-down effect on neighboring cities, which remains robust through various tests. The spillover effects of the digital economy on green innovation are pronounced in downstream regions, which are cities with high concentrations of human capital and green innovation. Mechanistic testing shows that the digital economy advances local green innovation levels by facilitating the flow of R&D staff, R&D capital, and industrial structure upgrading. The positive transmission effect in neighboring areas is driven primarily by the movement of R&D staff. This study offers valuable empirical insights for guiding green transformation efforts and promoting coordinated regional development.

除了数字化和可持续发展推动的变革外，数字经济还开辟了新的道路，为绿色创新的发展注入了新的活力。绿色创新作为循环经济体系的关键驱动力，能够有效促进经济的可持续发展和高质量增长。本文采用2011-2021年长江经济带108个地级及以上城市的面板数据集，通过实证观察，运用空间德宾模型探讨了数字经济对绿色创新的溢出效应及其传导机制。研究结果表明，长江经济带数字经济和绿色创新的分布不均衡，下游地区比中上游地区表现出更显著的水平。虽然数字经济促进了当地城市的绿色创新，但它也对邻近城市产生了涓滴效应，通过各种测试，这种效应仍然强劲。数字经济对绿色创新的溢出效应在下游地区较为明显，这些地区是人力资本和绿色创新高度集中的城市。机制检验表明，数字经济通过促进研发人员流动、研发资金流动和产业结构升级，提升了地方绿色创新水平。在邻近地区的正向传播效应主要是由研发人员的流动驱动的。本研究为指导绿色转型、促进区域协调发展提供了有价值的实证见解。

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引用次数: 0

An evolutionary multi-stage public-private cooperation framework for emergency supply reserves with corporate reputation considerations 考虑企业声誉的应急物资储备多阶段公私合作演进框架

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-13 DOI: 10.1016/j.seps.2025.102325

Langyu Zhou , Jing Zhang , Jing Gong , Chaoyong Zhang , Huige Xing

The timely supply of emergency supplies is a critical safeguard for disaster response and post-disaster recovery. With the increasing post-disaster demand for supplies, relying solely on government reserves has become insufficient to meet emergency needs, making collaboration with enterprises an essential solution. However, the specific mechanisms of government-enterprise collaboration in emergency supplies reserves require further investigation. This study employs evolutionary game theory (EGT), integrates corporate social responsibility (CSR), and incorporates reputational benefits into the analysis. A two-stage dynamic game model is constructed to systematically analyze the strategic evolution process and stabilization mechanisms between governments and enterprises during collaboration. The Collaboration Intention Formation (CIF) stage focuses on enterprise participation willingness and its determinants, while the Collaboration Deepening and Optimization (CDO) stage examines the dynamic evolution of government incentive strategies and enterprise cooperation patterns during sustained collaboration. The findings reveal that enterprise participation is directly driven by cost-benefit tradeoffs and indirectly influenced by internal and external factors. Stable and in-depth collaboration depends on the interaction of strategic choices and behavioral feedback mechanisms. Through model-based analysis and numerical simulations, this study identifies key variables influencing equilibrium stability and proposes policy recommendations to optimize emergency supply reserve systems. These results provide theoretical and practical guidance for enhancing the efficiency of government-enterprise collaboration in emergency management.

及时提供应急物资是应对灾害和灾后恢复的重要保障。随着灾后物资需求的增加，仅仅依靠政府储备已不足以满足应急需求，与企业合作成为必不可少的解决方案。然而，应急物资储备中政企合作的具体机制有待进一步研究。本研究运用演化博弈论（EGT），整合企业社会责任（CSR），并将声誉利益纳入分析。构建了一个两阶段动态博弈模型，系统分析了政府与企业在合作过程中的战略演化过程和稳定机制。合作意向形成（CIF）阶段关注的是企业参与意愿及其决定因素，而合作深化与优化（CDO）阶段关注的是政府激励策略和企业合作模式在持续合作过程中的动态演变。研究发现，企业参与受成本效益权衡的直接驱动，内外部因素的间接影响。稳定而深入的合作依赖于战略选择和行为反馈机制的相互作用。通过模型分析和数值模拟，确定了影响均衡稳定性的关键变量，并提出了优化应急供应储备系统的政策建议。研究结果为提高政府与企业在应急管理中的协作效率提供了理论和实践指导。

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引用次数: 0

Two stages method-based on Africa smart irrigation system assessment for willingness to pay: A case of Ghana Northern Region 基于两阶段法的非洲智能灌溉系统支付意愿评估：以加纳北部地区为例

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-11 DOI: 10.1016/j.seps.2025.102318

Tamimu Mohammed Gadafi , Decui Liang , Adjei Peter Darko

In northern Ghana, irregular rainfall poses a significant challenge for farmers. This research aims to investigate the readiness and ability of farmers in this area to invest in a smart irrigation system to tackle this problem and improve agricultural output. The research is motivated by the adverse effects of unpredictable rainfall patterns and droughts on agricultural yields in the area. To identify the key factors influencing farmers’ willingness to pay (WTP) and their maximum WTP for the smart irrigation system, the study utilizes the contingent valuation method (CVM). An integrated Bonferroni mean (BM), best-worst method (BWM) and technique for order preference by similarity to the ideal solution (TOPSIS) have been developed to evaluate these factors and rank the smart irrigation system options. A two-stage approach was proposed to account for the interrelationships among the WTP factors by integrating the Bonferroni mean (BM). Primary data was collected through a thorough survey involving 375 respondents from 125 households and 5 agricultural experts. The findings reveal that the maximum WTP for the smart irrigation system in Zabzugu District was GHS 628. Among the key factors of WTP, income level is the most significant factor and market condition is the least important factor. The effectiveness of the proposed method is demonstrated by ranking various smart irrigation system options. Weathermatic smartline was identified as the preferred choice and Galcon smart irrigation controllers as the least option. This study contributes to Ghana’s existing irrigation system literature and provides valuable insights for policymakers concerning sustainable agriculture.

在加纳北部，不规律的降雨给农民带来了巨大的挑战。本研究旨在调查该地区农民投资智能灌溉系统以解决这一问题并提高农业产量的意愿和能力。这项研究的动机是不可预测的降雨模式和干旱对该地区农业产量的不利影响。为了确定影响农民对智能灌溉系统的支付意愿（WTP）和最大WTP的关键因素，本研究采用条件估值法（CVM）。开发了综合邦费罗尼平均值（BM）、最佳-最差法（BWM）和通过与理想溶液相似度排序偏好技术（TOPSIS）来评估这些因素并对智能灌溉系统选项进行排序。通过积分Bonferroni均值（BM），提出了一种两阶段的方法来解释WTP因子之间的相互关系。主要数据是通过对125户家庭的375名回答者和5名农业专家的全面调查收集的。结果表明，沙布祖古区智能灌溉系统的最大WTP为GHS 628。其中，收入水平影响最大，市场条件影响最小。通过对各种智能灌溉系统方案进行排序，证明了所提出方法的有效性。Weathermatic智能生产线被认为是首选，而Galcon智能灌溉控制器被认为是最差的选择。本研究为加纳现有的灌溉系统文献做出了贡献，并为政策制定者提供了有关可持续农业的宝贵见解。

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引用次数: 0

Agriculture-service integration and agricultural green total factor productivity: A case study of China 农业服务一体化与农业绿色全要素生产率：以中国为例

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-08 DOI: 10.1016/j.seps.2025.102326

Yaoyao Song, Weiyin Zhu, Yuelin Yang, Erdou Su

The integration of agriculture and service industries plays an important role in promoting the modernization and green transformation of agriculture industry. However, few literatures examined the impact of this industrial integration on the sustainable development in agriculture. This paper constructs an agriculture-service integration (ASI) index and estimates the agricultural green total factor productivity (AGTFP) to discuss the influence of ASI on AGTFP for 30 Chinese provinces. Empirical results indicate that ASI significantly contributes to the improvement of AGTFP, which still holds after controlling endogeneity and conducting robustness tests. Specifically, every 1% increase in the ASI leads to 0.1609% improvement of the AGTFP. Mechanism analysis illustrates that ASI can improve AGTFP through promoting the agricultural technical progress. Additionally, the effect of this integration varies regionally, and it is more pronounced in provinces with high proportion of land circulation, located in the main grain-producing areas, and with strong agro-environmental regulations. This paper verifies the stimulation of the ASI on agricultural green development and provides insights for the formulation and implementation of Chinese agricultural development policies.

农业与服务业的融合对促进农业产业现代化和绿色转型具有重要作用。然而，很少有文献研究这种产业整合对农业可持续发展的影响。本文构建了农业服务整合指数（ASI），估算了农业绿色全要素生产率（AGTFP），探讨了农业服务整合对中国30个省区农业绿色全要素生产率的影响。实证结果表明，ASI对AGTFP的提高有显著贡献，在控制内生性并进行稳健性检验后仍然成立。具体来说，ASI每增加1%，AGTFP就会提高0.1609%。机理分析表明，ASI通过促进农业技术进步来提高AGTFP。此外，这种整合的效果因地区而异，在土地流转比例高、位于粮食主产区、农业环境法规较强的省份更为明显。本文验证了ASI对农业绿色发展的激励作用，为我国农业发展政策的制定和实施提供了启示。

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引用次数: 0

Institutional variables and power firms’ productivity: Micro panel estimation with time-invariant variables 制度变量与电力企业生产率：含时不变变量的微观面板估计

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-06 DOI: 10.1016/j.seps.2025.102323

Simona Bigerna, Maria Chiara D’Errico, Paolo Polinori

Enhancing the productivity of power firms is essential for reducing energy resource consumption while improving sectoral performance. This objective aligns with circular economy (CE) principles, which emphasize not only reducing raw material use and minimizing waste, but also promoting systemic efficiency through infrastructure sharing, resource recovery, and cross-sectoral integration, particularly crucial in network-based sectors like electricity. Nonetheless, the productivity of electricity firms is influenced by multiple factors, some of which fall beyond their direct control. Among these, institutional frameworks play a significant role. Indeed, internal and external institutions define the environment in which companies operate, conditioning firms’ decision-making processes and productivity. This study investigates the role of institutional determinants in driving productivity changes in electricity companies across 15 European countries between 2010 and 2016, with a particular focus on environmental and market regulatory policies. In sectors like electricity, where long asset lifecycles, infrastructure interdependencies, and resource intensity prevail, CE goals cannot be achieved without institutional conditions that enable long-term investment, coordination, and adaptive capacity. Using the firm-level ORBIS dataset, we estimate productivity changes over time using the bootstrap Malmquist index, then a dynamic panel linear model is applied to investigate how internal and external institutional variables affect the dynamics of the Malmquist index. The internal institutional variables are time-invariant; therefore, we employ the procedure proposed by Kripfganz and Schwarz (2019) to consistently identify the effects of time-invariant variables. This novel approach provides valuable robustness to false assumptions about the exogeneity of instruments. Interaction variables capture the interplay between external and internal institutional variables. The results highlight the importance of matching environmental regulations with firm-specific internal characteristics in order to avoid detrimental effects on firm performance in the power generation sector.

提高电力公司的生产力对于减少能源消耗和改善行业表现至关重要。这一目标与循环经济（CE）原则相一致，循环经济原则不仅强调减少原材料使用和最大限度地减少浪费，还强调通过基础设施共享、资源回收和跨部门整合提高系统效率，这在电力等基于网络的行业尤为重要。然而，电力公司的生产率受到多种因素的影响，其中一些因素超出了它们的直接控制范围。其中，制度框架发挥着重要作用。事实上，内部和外部制度决定了公司的运营环境，制约了公司的决策过程和生产力。本研究调查了2010年至2016年期间15个欧洲国家电力公司的制度决定因素在推动生产力变化中的作用，特别关注环境和市场监管政策。在电力等行业，资产生命周期长、基础设施相互依赖、资源强度大，如果没有能够实现长期投资、协调和适应能力的制度条件，就无法实现节能减排目标。本文利用企业层面的ORBIS数据集，利用自提马尔姆奎斯特指数（bootstrap Malmquist index）估计生产率随时间的变化，然后采用动态面板线性模型研究内部和外部制度变量对马尔姆奎斯特指数动态的影响。内部制度变量是时不变的；因此，我们采用Kripfganz和Schwarz（2019）提出的程序来一致地识别时不变变量的影响。这种新颖的方法为关于工具外生性的错误假设提供了有价值的鲁棒性。相互作用变量捕捉外部和内部制度变量之间的相互作用。结果强调了将环境法规与企业特定的内部特征相匹配的重要性，以避免对发电部门的企业绩效产生不利影响。

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引用次数: 0