Developing and validating a Chinese cultural value scale in tourism

Chinese cultural values are important in understanding Chinese tourists’ behaviour. However, the literature is void of a relevant scale measuring Chinese cultural values in tourism. This research aims to develop and validate a Chinese cultural values scale in tourism (abbreviated as CCV-T). Following a rigorous scale development procedure and applying multi-stage studies, the research identified a 5-factor measurement scale of CCV-T, composed of 17 items with sufficient reliability and validity. The five Chinese cultural value factors are Leisure and Life Enjoyment (LLE), Filial Piety and Relationship (FPR), Self-fulfilment, Righteousness, and Humanity. The CCV-T scale provides a simplified and holistic structure measuring tourism-related Chinese cultural values. This research provides a solid base to further understand the relationships between Chinese cultural values and tourist behaviour.     

经济开放与货币需求:国际金融风险及持币成本的测度

在中国开放经济体制下的基准货币需求模型中,本文将源于国际金融市场的持币成本设为遗漏潜变量,并构建特定的国际金融综合指数(CIFI)作为该潜变量的测度。借鉴机器学习与测度理论,本文利用对数误差修正模型提出了分步降维的CIFI构造算法,构造了长期CIFI和短期CIFI。结果表明,CIFI构造中的无监督降维步骤有助于减少高维金融数据中的冗余信息。实证分析发现,国际机会成本对中国货币需求具有规律性的前导影响,而在2007至2008年国际金融危机期间,央行的应急措施对长期CIFI所代表的非均衡冲击起到明显的阻截效果,对短期CIFI的影响基本是持续不变的。通过综合指数构造与宏观货币需求模型的算法连接,可以利用CIFI的构成结构从前导时间与影响强度两方面追踪冲击货币需求的国际金融风险的具体来源,这为宏观决策者监测国际金融市场提供了颇有规律的信息。在方法论上,本研究为如何利用模型监测国际金融市场影响宏观经济开辟了一条新路。     

Exploring the male Chinese tourists’ motivation for commercial sex when travelling overseas: Scale construction and validation

Sex and tourism has long been understudied. Little is known about tourists' motivations for consuming commercial sex while travelling, and even less, if indeed anything, is known about that of Chinese outbound tourists in particular. Based on twenty interviews and two surveys with a sample of 534 male Chinese tourists who had engaged in commercial sex when travelling overseas in the previous 12 months, this study aimed first to explore why male Chinese tourists travelled overseas and purchased commercial sex, and second to construct a comprehensive scale for measuring male tourists’ motivations for overseas commercial sex. With acceptable reliability and validity, the measurement scale yielded in this study consisted of eight motivation dimensions labelled as socialisation, relaxation and escape, travel-related novelty, sexual desire fulfillment/excitement seeking, sex-related learning, sexual mastery, social prestige, and business/pragmatic purpose. Both the theoretical and methodological implications related to the developed scale are also discussed.     

Development and validation of a firm-level vertical and horizontal internationalization metric

The lack of valid and reliable measures of firm-level vertical and horizontal internationalization is impeding the development and testing of hypothesized relationships between these respective dimensions of internationalization and a range of important MNE characteristics, actions, and effects. Through a series of qualitative and quantitative studies using data collected from senior MNE executives (total N?=?3,146), we develop and validate a scale to measure both vertical and horizontal firm-level internationalization. Subscales for each type of internationalization prove to be unidimensional, reliable, temporally stable, and to have predictive, cross-cultural, cross-sectoral, and discriminant validity.     

Farm size and productivity growth in the United States Corn Belt

In recent decades, agricultural production in the U.S. has continued to shift to large-scale operations, raising concerns about the economic viability of small and midsized farms. To understand whether economies of size provided an incentive for the consolidation of production, the study estimates the total factor productivity (TFP) of five size classes of grain-producing farms in the U.S. Heartland (Corn Belt) region. Using quinquennial Agricultural Census data from 1982 to 2012 the study also compares TFP growth rates across farm sizes to gain insight into whether observed productivity differences are likely to persist. The finding of a strong positive relationship between farm size and TFP suggests that consolidation of production has contributed to recent aggregate productivity growth in the crop sector. The study estimates the extent to which sectoral productivity growth can be attributed to structural change versus other factors including technological change. The study also explores some tradeoffs associated with policies that raise the productivity of small versus large farms.     

科技服务业产出测算：指标确立、数据收集与未来预测

科技服务业产出测算是对科技服务业产出数据的统计与分析，加强科技服务业产出数据的规范统计和应用分析可为我国政府调整产业政策提供重要数据支撑。以科技服务业产出测算为研究对象，结合学者观点、国家标准及各级政府相关产业政策，提出将分支产业作为初始指标的横向统计思路，构建科技服务业产出测算指标体系。在数据收集方面，强调要做好“收”与“填”两个基本工作；在指标确立和数据收集基础上，进一步提出未来预测的两种方法，以此作为科技服务业产出数据预测的初步探索；提出应从统一数据统计标准、完善数据调查与公开制度、加强数据资源开发3个方面建立健全我国科技服务业产出数据测量与管理体制机制。     

农民工教育与职业的匹配及其工资效应——基于城市规模视角

农民工教育与职业的匹配状况对提高劳动力资源利用、增加劳动供给质量具有重要意义。本文使用中国流动人口动态监测调查2011~2016年微观数据,基于城市规模视角分析了农民工教育与职业的匹配状况对工资效应的差别。研究发现:人口规模越大的城市,农民工教育与职业的错配比例越高;中小城市农民工教育过度对工资的影响呈现工资嘉赏效应,大城市农民工教育过度对工资的影响以工资惩罚为主;而教育不足对农民工工资则普遍存在负向影响。农民工教育与职业不匹配对工资影响的理论机制表明,中小城市支持人力资本理论模型,而大城市和特大城市则支持分配理论模型。这意味着,农民工在中小城市表现出学历越高人力资本回报越高的特点;而在大城市,教育与职业适配则更为重要。因此,改善城市层面的教育-职业的适配性,让农民工在城市劳动力市场上自由流动和工作转换,进一步增强城市间劳动力资源的流动是相关政策调节的重点。     

Five scale challenges in Ecuadorian forest and landscape restoration governance

The forest and landscape restoration (FLR) targets set as part of the Bonn Challenge draw attention to the governance arrangements required to translate national FLR targets into local action. To achieve the targets, actors at multiple levels of the governance scale aim to influence relevant processes on the ecological scale. In this article, we focus on the scale challenges relating to the implementation of Ecuador’s restoration targets, by analysing the implementation of the 2014–2017 National Forest Restoration Plan in the montane Chocó Andino and Bosque Seco landscapes. From 54 semi-structured interviews, a document review, and geographical data analysis, we identified two temporal (i, ii) and three spatial scale challenges (iii, iv, v): i) Political cycles mismatch with FLR timelines; ii) Planning horizons mismatch with FLR timelines; iii) National restoration objectives mismatch with decentralised land use planning realities; iv) The governance level of existing FLR efforts mismatches with the level receiving restoration funds; and v) Tensions exist between the spatial dimensions of biodiversity and water-related restoration efforts. The findings highlight that more attention must be given to scale-sensitive governance to make the process in which national FLR targets are translated into local action more effective.     

Is heterogeneous capital depreciation important for estimating firm-level productivity? Evidence from Chinese manufacturing firms

This paper contributes to the existing literature on estimating firm-level production functions. Using Chinese manufacturing survey data, we employ the firm-level heterogeneous capital depreciation rate to measure firms’ investment and assess its role using Olley and Pakes (1996) (OP) production function estimation technique. Although there is some ongoing debate on the econometric soundness of the OP technique, we argue quantitatively that the heterogeneous depreciation rate muffles the measurement error associated with the key input demand investment. In our sample, it significantly narrows the gap of total factor productivity (TFP) estimates between the OP technique and a state-of-the-art estimation method that works without investment. We further reveal that the improved performance primarily originates from the dynamic evolution in the distribution of the capital depreciation rate.     

Effects of Booking.com's new scoring system

Booking.com provides a massive database compiling millions of reviews about thousands of accommodations worldwide that hotel managers and academics have extensively consulted during the past decade. In 2019–2020, however, the famous website changed several aspects of its methods of calculating hotel scores, the most important one being a change from its peculiar 2.5–10 scale to a more conventional 1–10 scale. Such novelties may cause changes in hotel scores that do not reflect changes, if any, in customer satisfaction. This article offers an initial investigation into the nature and consequences of those changes that professionals and academics should consider to avoid errors in future studies that involve using Booking. com's database.