Papers in Regional Science最新文献

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Navigating change: Residential relocation, commuting behaviours, and built environments 导航变化：住宅搬迁、通勤行为和建筑环境

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-12-01 Epub Date: 2025-11-02 DOI: 10.1016/j.pirs.2025.100128

Conor O’Driscoll

Amid the growing enthusiasm to use land-use and transport policy measures to encourage greater sustainable travel, the need to understand the nuance of where such interventions are effective, how they work, and who they impact is essential. Yet, the relative importance of who we are and where we live in shaping travel behaviours remains contested. This paper examines this relationship more closely by studying the relative importance of built environment characteristics, life-stage transitions, and selection mechanisms in shaping commuting behaviours across the UK. To do this, linear probability models are used to investigate how these variables impact the probability of switching commute mode. Individual-level longitudinal data capturing the period immediately before relocation and multiple periods post-relocation are paired with highly disaggregated spatial data. I find that life-events and selection mechanisms exert greater influence over the probability of switching commute mode than static built environment measures, while dynamic measures appear more prominent (especially when considering the probability of switching to public transport), implying that commute mode choices depend less on where people live than on how easily they can move. The probability of switching to cars is linked to life disruptions and socioeconomic pressures, particularly among low-income individuals. The probability of switching to active modes is highly individualised, especially among high-income individuals. Mid-income individuals respond dynamically to a broad range of triggers, appearing sensitive to cost and convenience. From a policy standpoint then, interventions targeting accessibility and socioeconomic constraints may be more effective in shaping travel behaviour than static land-use strategies.

随着人们越来越热衷于利用土地利用和交通政策措施来鼓励更大程度的可持续旅行，了解这些干预措施在何处有效、如何起作用以及影响何人的细微差别至关重要。然而，我们是谁和我们住在哪里在塑造旅行行为方面的相对重要性仍然存在争议。本文通过研究建筑环境特征、生命阶段转变和选择机制在塑造全英国通勤行为中的相对重要性，更密切地考察了这种关系。为此，使用线性概率模型来研究这些变量如何影响切换通勤模式的概率。个人层面的纵向数据捕获搬迁前的一段时间和搬迁后的多个时期，与高度分解的空间数据配对。我发现生活事件和选择机制对通勤模式切换概率的影响比静态建筑环境措施更大，而动态措施显得更突出（特别是在考虑切换到公共交通工具的概率时），这意味着通勤模式的选择与其说取决于人们住在哪里，不如取决于他们移动的容易程度。转向汽车的可能性与生活中断和社会经济压力有关，尤其是在低收入人群中。转向主动模式的可能性是高度个性化的，尤其是在高收入人群中。中等收入人群对各种诱因的反应是动态的，对成本和便利性显得很敏感。因此，从政策角度来看，针对可达性和社会经济限制的干预措施可能比静态土地利用战略更有效地塑造旅行行为。

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引用次数: 0

Difference-in-differences with endogenous externalities: Model and application to climate econometrics 内生性外部性的差中差：模型及其在气候计量经济学中的应用

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-12-01 Epub Date: 2025-10-24 DOI: 10.1016/j.pirs.2025.100125

Sandy Dall'erba , André Chagas , William Ridley , Yilan Xu , Lilin Yuan

The difference-in-difference (DID) framework is now a well-accepted method in quasi-experimental research. However, DID does not consider treatment-induced changes to a network linking treated and control units. The endogenous network DID methodology we offer here (ENDID) controls for the direct and indirect role of the treatment on any network member. In addition, we control for the sensitivity of the network to the treatment and its endogeneity on the outcome variable. Monte Carlo simulations and a three-step process combining a gravity model with a 2SLS estimation demonstrate the performance of our new estimator. We apply it to the case where drought impacts global wheat trade and, in turn, wheat production. The results show that a DID that disregards the network and its changes leads to significant underestimates of overall treatment effects.

差分差分（DID）框架是目前准实验研究中被广泛接受的一种方法。然而，DID没有考虑到治疗引起的连接治疗和控制单元的网络的变化。我们在这里提供的内源性网络DID方法（ENDID）控制了治疗对任何网络成员的直接和间接作用。此外，我们控制了网络对治疗的敏感性及其对结果变量的内生性。蒙特卡罗模拟和重力模型与2SLS估计相结合的三步过程证明了我们的新估计器的性能。我们将其应用于干旱影响全球小麦贸易并进而影响小麦生产的情况。结果表明，忽视网络及其变化的DID会导致对整体治疗效果的严重低估。

引用次数: 0

Dynamic spatio-temporal modelling of tourism impact on income inequality and polarization: Inbound and domestic flows in the EU 旅游对收入不平等和两极分化影响的动态时空模型：欧盟的入境和国内流量

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-12-01 Epub Date: 2025-10-16 DOI: 10.1016/j.pirs.2025.100122

Carmen María Llorca-Rodríguez , Amalia Cristina Casas-Jurado , Rosa María García-Fernández , Jorge Chica-Olmo

Concern about income distribution has spread worldwide owing to its connections with social unrest and conflict. For this reason, the European Union (EU) pays special attention to its Cohesion Policy, thus fulfilling its commitment to equity and ensuring its own economic, social and political sustainability. This paper aims to assess the impact of tourism on income inequality and polarization with a view to guiding income distribution policies, particularly the EU Cohesion Policy. Specifically, we control for spatial dependence to determine the impact of tourism both in destinations and their neighbouring regions. We also consider non-linear relationships to detect possible changes over time in the effects of tourism on income distribution. Additionally, we contrast inbound and domestic tourism since the characteristics of these flows can have differential effects on the results. Dynamic Spatio-temporal estimations are applied to EU NUTS-1 data using spatial lag of X (SLX) models. Our estimations indicate that total tourism hinders income distribution in destinations showing an inverted-U-shaped relationship with income inequality and polarization. We find that inequality and polarization increase with inbound tourism but decrease with domestic tourism. Moreover, the two typologies improve income distribution in regions neighbouring tourism destinations. Both types of tourism cause direct, indirect and induced effects of different intensity. Policy actions applicable to other geographical contexts are proposed targeting the tourism supply structure, labour market regulation and structural competitiveness jointly with measures to effectively manage the transition to a knowledge-based economy and strengthen social protection systems, particularly in education, health, unemployment and retirement.

由于收入分配与社会动荡和冲突的关系，对收入分配的关注已经蔓延到世界各地。因此，欧洲联盟特别重视其凝聚力政策，从而履行其对公平的承诺，并确保其自身的经济、社会和政治可持续性。本文旨在评估旅游业对收入不平等和两极分化的影响，以期指导收入分配政策，特别是欧盟凝聚力政策。具体来说，我们控制了空间依赖性，以确定旅游对目的地及其邻近地区的影响。我们还考虑了非线性关系，以检测旅游对收入分配的影响随时间的可能变化。此外，我们对比了入境旅游和国内旅游，因为这些流量的特征可能对结果产生不同的影响。利用X （SLX）模型的空间滞后对欧盟NUTS-1数据进行了动态时空估计。研究表明，旅游总量对旅游目的地收入分配的影响与收入不平等和两极分化呈倒u型关系。研究发现，不平等和两极分化随着入境旅游的增加而增加，而随着国内旅游的减少而减少。此外，这两种类型改善了旅游目的地周边地区的收入分配。两种类型的旅游产生的直接效应、间接效应和诱导效应强度不同。提出了适用于其他地理情况的政策行动，目标是旅游供应结构、劳动力市场管制和结构性竞争力，同时采取措施有效管理向知识型经济的过渡，并加强社会保护制度，特别是在教育、保健、失业和退休方面。

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引用次数: 0

The dynamics of household location preferences in Germany 德国家庭地理位置偏好的动态

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-12-01 Epub Date: 2025-10-14 DOI: 10.1016/j.pirs.2025.100121

Uwe Neumann , Christoph M. Schmidt

Inspired by the literature on social polarisation and residential segregation we draw on a probabilistic approach to pursue the evolution of household location preferences. Using microdata from the German Socio-Economic Panel (SOEP) for the period 1984–2020 we demonstrate that structural economic change was accompanied by an increasing preference for residence in compact housing close to urban centres. Our analysis outlines that during the past two decades, intra-urban and urban-rural disparities by age and skills have begun to rise. Even for Germany, where segregation is moderate, any scenario suggesting neighbourhood-level convergence of living standards seems unlikely.

受社会两极分化和居住隔离文献的启发，我们采用概率方法来追求家庭区位偏好的演变。利用1984-2020年期间德国社会经济小组（SOEP）的微观数据，我们证明了结构性经济变化伴随着越来越多的人倾向于居住在靠近城市中心的紧凑型住房中。我们的分析表明，在过去二十年中，城市内部和城乡之间的年龄和技能差距已经开始扩大。即使在种族隔离较为温和的德国，任何表明生活水平趋同的情景似乎都不太可能。

引用次数: 0

Skills and regional dynamics 技能和区域动态

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-12-01 Epub Date: 2025-10-02 DOI: 10.1016/j.pirs.2025.100120

Gustavo Henrique Leite de Castro , Carlos Roberto Azzoni

This paper examines the conditional convergence of cognitive, social, and motor skills among manufacturing occupations in Brazil from 2003 to 2019. Using a spatial panel econometric approach, we analyze whether less industrialized regions are catching up in terms of workforce sophistication and how spatial spillovers influence this process. The study introduces a skill-based framework that moves beyond traditional education-based human capital measures, incorporating an index that captures occupational skill complexity. Our results indicate evidence of conditional skill convergence, with social skills exhibiting the fastest convergence rate, followed by cognitive and motor skills. Spatial spillover effects are significant, reinforcing the role of geographic proximity in skill development dynamics. These findings contribute to understanding how industrial labor markets evolve in developing economies and provide relevant information for regional policy design aimed at reducing skill disparities.

本文研究了2003年至2019年巴西制造业职业的认知、社会和运动技能的条件收敛。利用空间面板计量经济学方法，我们分析了工业化程度较低的地区在劳动力成熟度方面是否正在迎头赶上，以及空间溢出效应如何影响这一过程。该研究引入了一个基于技能的框架，超越了传统的基于教育的人力资本衡量标准，纳入了一个衡量职业技能复杂性的指数。我们的研究结果显示了条件技能收敛的证据，其中社交技能表现出最快的收敛速度，其次是认知和运动技能。空间溢出效应显著，强化了地理邻近性在技能发展动态中的作用。这些发现有助于理解发展中经济体的工业劳动力市场如何演变，并为旨在减少技能差距的区域政策设计提供相关信息。

引用次数: 0

Threshold effects of agglomeration on local business taxation: Evidence from Spain 集聚对地方企业税收的门槛效应：来自西班牙的证据

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-12-01 Epub Date: 2025-09-25 DOI: 10.1016/j.pirs.2025.100117

Jesús López-Rodríguez , Diego Martínez-López , Brais Pociña-Sánchez

In the foot-loose capital (FC) models, it is predicted that agglomeration forces create rents for the mobile factor (capital), which can be easily taxed, and therefore higher equilibrium tax rates are expected. In this paper, a highly flexible econometric specification (P-Spline spatial autoregressive model, PS-SAR) is used to examine the relationship between tax rates and agglomeration economies in Spain over the period 2013–2020. The existence of a minimum level of agglomeration economies required for taxable agglomeration rents, in a context of non-linearities, is found. A reassessment of the linear FC models is therefore necessary in order to disentangle the mechanisms that might lead to this fact.

在自由资本（FC）模型中，预计集聚力为流动要素（资本）创造租金，可以很容易地对其征税，因此预计会有更高的均衡税率。本文采用一种高度灵活的计量经济学规范（p样条空间自回归模型，PS-SAR）对2013-2020年西班牙税率与集聚经济之间的关系进行了研究。在非线性的背景下，发现了应税集聚租金所需的最低集聚经济水平的存在。因此，有必要对线性FC模型进行重新评估，以便理清可能导致这一事实的机制。

引用次数: 0

Regional institutions and the urban digital divide 区域机构和城市数字鸿沟

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-12-01 Epub Date: 2025-09-16 DOI: 10.1016/j.pirs.2025.100118

Andrea Caragliu , Chiara F. Del Bo

The digital divide represents one of the many facets of socio-economic inequalities, creating a wedge between citizens with the means and ability to reap the benefits related to modern information and communication technologies (ICTs) and those who lack these resources and skills. Among its determinants at the individual and more aggregate level, space-specific factors, including the quality of regional institutions, may affect its geographical breakdown. In this paper we exploit data covering 181 European cities for the period 2008–2017, examining the spatial distribution of the within-city digital divide and how this relates to several local characteristics. In particular, we focus on the interplay between geographic variables and institutional quality at the local level, measured with the University of Gothenburg’s Quality of Governance dataset. Within-city digital divide is computed using individual-level data on European citizens, thus controlling for individual traits that the literature has identified as relevant determinants. These include gender, age, education level, and occupational information, among others. Our paper sheds light both on the individual level determinants of the within-city digital divide, and considers how the uneven spatial distribution of the urban digital divide is related to local institutional, economic and social characteristics. Implications of our work can help inform local policy makers, who increasingly rely on digital solutions in urban policy planning, to consider the existence of a local digital divide among citizens and adopt corrective measures to help achieve digital urban policies’ full potential. Our empirical results document a negative association between the quality of local institutions and the within-city digital divide. Results are robust to a number of alternative specifications, as well as to the use of historical instruments.

数字鸿沟是社会经济不平等的诸多方面之一，它在有手段和能力从现代信息通信技术中获益的公民与缺乏这些资源和技能的公民之间制造了一道鸿沟。在个别和更总体一级的决定因素中，包括区域机构质量在内的特定空间因素可能影响其地理分布。在本文中，我们利用2008-2017年期间覆盖181个欧洲城市的数据，研究了城市内部数字鸿沟的空间分布及其与几个地方特征的关系。我们特别关注地理变量与地方机构质量之间的相互作用，用哥德堡大学的治理质量数据集来衡量。城市内部的数字鸿沟是使用欧洲公民的个人层面数据计算的，从而控制了文献中确定为相关决定因素的个人特征。这些信息包括性别、年龄、教育程度和职业信息等。本文揭示了城市内部数字鸿沟的个体层面决定因素，并考虑了城市数字鸿沟的不均匀空间分布与地方制度、经济和社会特征之间的关系。在城市政策规划中越来越依赖数字解决方案的地方政策制定者，我们的工作可以帮助他们考虑到当地公民之间存在的数字鸿沟，并采取纠正措施，以帮助实现数字城市政策的全部潜力。我们的实证结果证明，地方机构的质量与城市内部的数字鸿沟之间存在负相关关系。结果对许多替代规格以及历史仪器的使用都是可靠的。

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引用次数: 0

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-11-05 DOI: 10.1016/j.pirs.2025.100124

Qiang Cao

引用次数: 0

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-10-29 DOI: 10.1016/j.pirs.2025.100123

Monika Kot, Kateryna Zabarina

引用次数: 0

A novel method for estimating multiregional input-output tables using data at different aggregation levels 一种利用不同聚集水平的数据估计多区域投入产出表的新方法

IF 2.3 3区经济学 Q2 ECONOMICS

Papers in Regional Science

Pub Date : 2025-10-01 Epub Date: 2025-08-20 DOI: 10.1016/j.pirs.2025.100111

Jonas Westin

Estimating MRIO tables is often hindered by limited access to regional data. The paper presents a novel method for estimating interregional trade matrices based on a gravity-RAS approach using survey and non-survey data at different aggregation levels. The new aggregate-disaggregate-aggregate RAS method combines estimation of à priori matrices using aggregated survey data with RAS balancing using disaggregated non-survey data for multiple commodities. The paper uses data from the Swedish Commodity Flow Survey to showcase the method's potential to improve estimations of multiregional trade matrices, highlighting trade-offs between aggregation bias and sampling errors. The performance of the method is evaluated using Monte Carlo simulation in an approach that simulates both trade matrices comprised of multiple commodities and a data sampling process for collecting CFS data. Simulation results indicate that RAS balancing at a disaggregated level can significantly improve model accuracy compared to both aggregated and disaggregated methods, highlighting the effectiveness of disaggregate-level RAS balancing. The method is demonstrated using a case study based on Swedish Commodity Flow Survey data, which also illustrates common challenges in MRIO construction under real-world data constraints.

估计MRIO表往往受到区域数据获取有限的阻碍。本文提出了一种利用不同聚集水平的调查和非调查数据，基于重力- ras方法估算区域间贸易矩阵的新方法。新的聚合-分解-聚合RAS方法将使用聚合调查数据的先验矩阵估计与使用多个商品的分解非调查数据的RAS平衡相结合。本文使用来自瑞典商品流量调查的数据来展示该方法在改进多区域贸易矩阵估计方面的潜力，突出了汇总偏差和抽样误差之间的权衡。采用蒙特卡罗模拟方法对该方法的性能进行了评估，该方法模拟了由多种商品组成的交易矩阵和收集CFS数据的数据采样过程。仿真结果表明，与聚合和分解方法相比，分解水平的RAS平衡可以显著提高模型的精度，突出了分解水平RAS平衡的有效性。该方法通过基于瑞典商品流量调查数据的案例研究进行了演示，该案例研究也说明了在现实数据约束下MRIO建设中的常见挑战。

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