高技术制造业与高技术服务业协同集聚的经济增长效应

基于中国省级面板数据，利用空间面板模型和面板门槛模型，探究高技术制造业与高技术服务业协同集聚的经济增长效应。结果表明：区域间产业集聚特征差异显著，高协同集聚主要集中在东部沿海地区，低协同集聚主要集中在西部地区。经济增长水平、高技术制造业与高技术服务业协同集聚水平均具有显著空间正相关性，二者协同集聚有助于促进区域经济增长。协同集聚的经济增长效应存在双重门槛，当高技术制造业集聚度和高技术服务业集聚度均介于第一、二门槛之间时，产业协同集聚的经济增长效应最强。仅少部分省域两产业集聚度介于第一二门槛之间，能够有效发挥协同集聚对经济增长的推动作用。     

环境规制科技政策对科技进步与经济增长的影响

基于事件系统理论构建系统性、多层次性和综合性的政策量化分析框架，从政策属性、政策目标和政策工具3个维度对我国1985—2015年制定的198条环境规制科技政策进行量化研究。基于政策评估中的工具理性和价值理性两个层面，从环保科技进步效果和经济增长效应两个维度对环境规制科技政策有效性进行评估。研究发现，我国环境规制科技政策工具及政策工具协同对环保科技进步和经济增长的影响存在显著方向性差异。为此，进一步讨论了我国环境规制科技政策工具及工具协同的政策有效性评估结果，可为我国环境规制科技政策的完善和有效实施提供决策依据。     

后危机视野下福建省经济格局演变及其影响机制

［目的］后危机时代是目前我国各地区经济发展面对的一个巨大变量，也是近年来区域经济发展关注的焦点话题。［方法］选取福建省县域经济的5项指标作为解释变量，利用探索性空间分析方法和地理加权回归模型，对2010—2015年福建省县域经济格局及其驱动机制进行探讨。［结果］（1）总体上看，福建省经济空间格局变化较小，呈现东南高西北低的态势，重心向福州、莆田地区转移，省内发展均质化与极化现象并存；（2）产业结构调整与城镇化水平提升主导省内经济重心在东西方向上的移动，两者的空间格局具有相似性；（3）创新投入与金融零售业的变化主导了经济重心南北向的移动，其与各市县的经济基础和产业调整政策密切相关。［结论］在后危机时代福建省需根据市场特征推进区域协同发展、实现产业结构调整、促进区域共同富裕； 地方经济政策应与自身经济发展特征相适应，实现区域经济可持续发展。     

山东省生态用地变化及驱动因素影响评价

［目的］研究第二次土地利用现状调查以来山东省生态用地变化特点及驱动因素，评价各类驱动因素对生态用地的影响程度，为科学编制区域空间规划，保护和合理利用生态用地提供参考。［方法］文章构建了全省生态用地转移矩阵，归纳了影响生态因素变化的主要驱动因素，提出了驱动力指数计算方法，定量分析和比对了各驱动因素对生态用地的影响。［结果］2009—2017年生态用地共计转出2048万hm2，占生态用地总面积的472%； 转入316万hm2，占生态用地总面积的072%。8年来全省生态用地净减少1732万hm2，占2009年生态用地总面积的400%。生态用地的流向以耕地最多，向城镇村及工矿用地流出次之，向设施农用地的流出也有较大面积。［结论］（1）在影响生态用地变化的六大驱动因素中，耕地开发和城镇村工矿占用的驱动力指数最高，非耕农业占用对生态用地的变化有一定影响。（2）六大因素中城镇村工矿占用对当地生态环境的破坏力最强。     

中国省际区域经济差距演进及协调发展

实现区域协调发展是新时代中国区域高质量发展的必然要求。改革开放以来,中国省际区域经济差距经历了差距拉大—逐渐缩小—缓慢增大—逐渐缩小—维持不变的过程,逐步趋于收敛,其深层原因在于经济发展基础、资本投入、区域要素配置、区域要素使用和制度因素的地区异质性。推进区域经济协调发展,要不断加强对中西部地区的资本投入,优化资源配置,提高全要素生产率,提升开放水平,推进贸易高质量发展,完善与区域协调发展总体战略要求相适应的宏观区域政策和区域管理体制。     

Residential mobility and the local context: Comparing long-term and short-term spatial trends of population movements in Greece

Residential mobility is a key dimension of population dynamics shaping urban growth and rural development at different spatio-temporal scales. Assuming spatial mobility as increasingly dependent on the intrinsic characteristics of local contexts, the present study investigates long-term and short-term population movements in a European country (Greece), in light of regional urbanization processes and socioeconomic development. A multidimensional analysis of indicators of residential stability and background variables was carried out with the aim at evaluating the influence of local contexts on more general processes of population mobility. Different typologies of spatial mobility associated to factors (directly or indirectly) dependent on demographic dynamics, economic performances and urban cycles were identified. The empirical findings of this study evidence (more or less traditional) paths of internal migration and a latent process of population relocation across metropolitan regions, together with more recent international migrations at both working and retirement age. While short-range population movements were the ultimate result of late suburbanization in Greece, medium- and broad-range mobility consolidated the country's divide in urban and rural areas, evidencing the attractive role of Athens. Spatial direction and intensity of population movements reflect complex socioeconomic transformations, whose knowledge provides innovative visions for a better understanding of future demographic dynamics in Mediterranean Europe.     

Does Airbnb have a homogenous impact? Examining Airbnb’s effect on hotels with different organizational structures

Although a number of studies have examined Airbnb’s impact on hotels, previous studies have yielded mixed results and are limited in their geographical scope. Additionally, the impact of Airbnb on hotels with different organizational structures has not been previously analyzed. Accordingly, the purpose of this study is threefold: 1) to add to our understanding of the impact of an increase of Airbnb inventory by clarifying previously inconclusive results; 2) to examine the extent to which Airbnb listings affect hotel performance measures in the overall U.S. hotel market; and 3) to investigate the influence of Airbnb on key hotel metrics by elaborating the effect of Airbnb on hotels operated under different organizational forms- chain-managed, franchised, and independent. Our results show an adverse impact of Airbnb on hotel RevPAR and ADR metrics across different organizational structures. However, interestingly, Airbnb listings did not negatively affect occupancy numbers. Theoretical and practical implications are discussed.     

The non-inclusive nature of ‘all inclusive’ economics: Paradoxes and possibilities of the resort complex

The ‘All Inclusive’ (AI) concept has revolutionized package hospitality services and captured the attention of many industry stakeholders. Scholars have mostly investigated AI from the marketing perspective, whereas the economic ramifications of this type of product, for both hospitality operators and local communities, are still a barren landscape. Using a mixture of quantitative analysis techniques, including a two-step cluster analysis and econometric modeling, the study aims to enhance our conceptual capital pertaining to the economic impact of AI for local communities. The study focuses on overall tourists' spending, both within and outside their accommodation, with expenditure segmented into seven study-specific categories that highlight the economic specificities of AI. Findings, of interest to industry stakeholders, revealed the problematic and ambiguous status of AI provision in Cyprus, whereas actions, espousing the principles of cluster theories, that could maximize the economic contribution of AI to local economies are suggested.     

Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China

This study explores the spillovers between economic policy uncertainty (EPU) and stock market realized volatility (RV). The monthly index of Chinese and US EPU and RV are used to analyze the pairwise directional spillovers. We find that RV is a net receiver that is more vulnerable to shocks from U.S. EPU than to shocks from Chinese EPU. We further decompose the RV into good and bad volatility to test the asymmetric spillover effect between the stock market and EPU. The results suggest that EPU has a bigger effect on bad volatility in the stock market throughout most of the sample period. However, we find that good volatility spillovers become larger during periods of stimulated reform, whereas bad volatility spillovers become larger during periods of international disputes. We show that Chinese stock market volatility is sensitive to both U.S. and Chinese EPU and that the spillover is asymmetric in different periods.     

Uncovering the global network of economic policy uncertainty

This study uncovers the static and dynamic network of economic policy uncertainty (EPU) across 17 developed and emerging economies. We build a centrality network using the minimal spanning tree (MST) as well as a dependency network using partial correlations. Results from the MST show that EPU exhibits some degree of geographical connections with EPUs in seven countries in the sample directly linked to the US EPU. Evidence from dynamic time-varying MST reveals that the nature and dominance of the EPU network have changed significantly over time. Further, the US and German EPUs dominate a close-knit global policy uncertainty network with the highest net (To and From) transmitter of information flow in the dependency network. Greece, Russia, and Brazil are the top three net receivers of information in the global network of EPU. The policy implication of these results relates to the renewed and ongoing international debate on policy coordination.