Unconventional monetary policy announcements and information shocks in the U.S.

We study unconventional policy shocks and information shocks associated with central bank announcements in the U.S. While unconventional policy shocks capture the direct influence of announced monetary policy actions, information shocks are associated with central bank information conveyed with the announcement. To disentangle these two types of shocks, we impose sign restrictions on high frequency changes in interest rates and stock prices around announcements. We find that information shocks lead to persistent declines in the 10-year government bond yield, whereas the actual unconventional policy shock induces only small interest rate responses. We also find that expansionary output effects of unconventional monetary policy are to some extent counteracted by the information shock.     

重大水利工程项目决策社会稳定风险评估中公众参与成熟度的影响路径

重大水利工程项目决策社会稳定风险评估中,公众是重要的参与主体,个体间生活环境、知识背景及心理素质的差异性会直接影响稳评结果。公众参与成熟度是公众参与的衡量要素,由能力成熟度和心理成熟度两个方面构成。从能力与心理两个角度设计调查问卷,运用结构方程模型,探究内部影响路径。结果表明,公众参与心理成熟度直接影响能力成熟度,而能力成熟度又通过参与意愿影响着心理成熟度,两者间存在相互影响的关系。政府可以通过开展道德素质教育,改善公众参与动机,以提高公众参与心理成熟度及能力成熟度,最终整体提高公众参与成熟度,保证稳评工作的质量,提升重大水利工程项目决策科学性。     

劳动力价格、信息不对称与农户精细管理技术投入——基于质量识别能力差异的视角

近年来,劳动力价格的快速上涨已然成为中国农业生产所必须面对的内在挑战。对于机械作业难度相对较大的劳动密集型作物而言,在缓解劳动力约束瓶颈的同时,更应通过精细化的果园管理,以提高产品质量,进而提高其市场价格。然而,由于农产品具有典型的经验品属性,在信息不对称的外部约束下,农户通常难以获得应有的"质量溢价"。基于此,本文通过构建理论分析框架,以果品质量关键环节的精细管理技术作为研究对象,系统分析在劳动力价格上涨背景下农户精细管理技术投入的决策机制,以及在不同农产品质量识别程度中,劳动力成本变化对其影响的异质性,并基于全国18个省份农户的调研数据进行实证研究。研究结果表明:农户交易对象质量识别能力的提高,能够缓解农户与购买者之间存在的信息不对称性,将农产品质量信息传递给购买者,使农户获得更高的销售价格,进而在有效提高农户精细管理技术投入水平的同时,能够弱化劳动力价格对其所产生的负面影响。     

服务业内部结构异质性演化与行业发展差距研究——基于全要素生产率视角下的分析

基于1990—2017年行业面板数据，采用超越对数生产函数对服务业各细分行业TFP增长率进行分解和测度，揭示我国服务业内部结构生产率演化进程及其异质性现象，并采用可导性对数方差分解法、VAR协整模型和误差修正模型（VECM）考察TFP及其构成部分对服务业行业发展差距的贡献度，评估其异质性作用于行业发展差距的长短期效应。研究发现，在服务业内部结构演化过程中，TFP、技术进步和技术效率改进呈逐步下降趋势，其中技术进步是推动TFP增长的核心，规模效率改进发展水平一直滞后，配置效率改进在服务业发展初期较为滞后，但水平逐步提升；生产性和生活性服务业行业间TFP及构成部分异质性在演化过程中呈下降趋势，且生活性服务业行业间异质性程度要小于生产性服务业，行业间异质性变化幅度最大的是规模效率改进，技术效率改进异质性波动程度最小；TFP异质性是造成行业间发展差距扩大的主要原因，其中技术效率改进是主导因素，且该效应的发挥只有在长期具有显著性。     

社会资本视角下农村基础设施管护效果影响因素分析——基于甘肃省9个市县的实证研究

以甘肃省9个县市的调查数据为基础,将社会资本划分为社会参与、社会规范、互惠网络三个维度,运用结构方程模型,来探讨三个维度对农村基础设施管护效果的影响。结果表明:(1)社会规范对农村基础设施管护效果显正向影响。(2)互惠网络对农村基础设施管护效果显负向影响。(3)社会参与对农村基础设施管护效果的直接影响不显著,但通过社会规范及互惠网络间接产生影响。(4)就总效应而言,社会规范对农村基础设施管护效果的影响要大于社会参与及互惠网络产生的影响。     

Vicarelli’s Keynes and the New-Keynesian analytical method

This article provides a critical review of the foundations of the new Keynesian apparatus, to evaluate the actual strength of the Keynesian inheritance. As a reference of the Keynesian vision, Fausto Vicarelli’s recognition of the Keynesian message is adopted. The critical recognition of the new Keynesian methodology focuses on its analytical foundations, the recent extensions and on the criticality of its empirical performances and controls. The new Keynesian construction is shown to lack truly Keynesian roots in at least three key theoretical features: the role of the microfoundations, the stability of equilibrium, and expectations formation. The directions of an ongoing research narrowing the new Keynesian theoretical fracture from Keynesian economics are addressed.     

Interpretive structural modeling of quality factors in both medical and hospitality services in the medical tourism industry

This study aims to theoretically integrate quality factors of both medical and hospitality services in medical tourism. Medical tourism comprises both medicine and tourism. Although the core product in medical tourism is medical treatment, attractive hospitality and travel options are also essential. Despite the dual nature of medical tourism, the two aspects of this concept have not been integrated in a unique framework. This study attempts to fill this gap using interpretive structural modeling (ISM). According to ISM, although factors of medical services and hospitality services are independent from each other, these factors have vital impacts on perceived value, satisfaction, and loyalty.     

Green human resource management: Development of a valid measurement scale

The objective of the study was to develop a valid measurement scale for green human resource management (HRM). Even though the common practices of green HRM have been presented in much of the literature, the previous studies focused only on a small number of functions in integrating environmental management with HRM. Additionally, the measurement of green HRM practices still calls for empirical validation. The two‐stage methodology of structural equation modeling in AMOS was employed for data analysis. Exploratory factor analysis revealed seven dimensions of the construct measured by 28 items. Confirmatory factor analysis confirmed the factor structure. The measuring instruments revealed convergent and discriminant validity. Several model fit indices indicated the model fitness. The study provided supplementary evidence on the underlying structure of the construct that can be valuable to researchers and practitioners in this area.     

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.     

Dual consumer–organisation identification in international alliances and partnerships: consumers’ supportive intentions towards local and foreign firms

This study investigates whether firms that are evaluating potential partners might benefit from considering how consumers view these organisations, specifically the extent to which consumer identification with local and foreign partners influences consumer satisfaction with a co-branded product and consumers’ post purchase/consumption supportive intentions towards each partner. Data came from institutions of higher education in Hong Kong and Sri Lanka that operate in collaboration with a foreign partner. A conceptual model was developed and then tested using structural equation modelling. Dual consumer–organisation identification was found to be a significant predictor of consumer satisfaction with the co-branded product and consumers’ supportive intentions towards each partner. Furthermore, the perceived identity attractiveness of each partner was significantly related to the consumers’ identification with each partner. The results suggest that organisations which indulge in collaborative arrangements with foreign firms should recognise that each partner plays a significant and distinct role in generating consumer satisfaction and positive post-purchase/consumption behaviours.