Consumers buying behaviour towards agri-food products: A mixed-method approach

This study aims to identify the factors that can influence consumer purchasing behaviour in the context of agri-food. Based on the Stimulus-Organism-Behaviour-Consequence theory, this study proposed a model to explain purchasing behaviour that included environmental factors as well as a set of cognitive processes. This study adopted a mixed method approach and in the first stage, a qualitative analysis was conducted to extract the constructs for the study. In the second stage, the quantitative analysis was performed by means of CB-SEM using 891 responses collected through a survey. This resulted in identifying the factors that influence agri-food purchasing behaviour. According to the findings, health consciousness and food safety concerns in the form of a stimulus have a positive relationship with agri-food image, agri-food label, and agri-food benefits acting as the organism. Similarly, the three organisms have a positive relationship with trust. Ethnocentrism is also found to have positive and significant association with trust. The combination of trust and ethnocentrism has consequences, in the form of agri-food purchase behaviour. The study's findings have significant implications for marketers and marketing strategists.     

金融资产配置与违约风险:蓄水池效应,还是逐利效应？

本文以2007—2016年中国A股上市公司为研究对象,检验了企业金融资产配置对违约风险的影响。实证研究发现:金融资产持有量越多,企业的违约风险越低,金融资产配置的“蓄水池效应”显著;在货币政策宽松时期,金融资产配置导致的代理冲突显现,宽松的货币政策会抑制金融资产投资对违约风险的降低作用。政府规制也会有一定的公司治理作用,将产业政策纳入讨论发现:对于产业政策支持的行业来说,企业金融资产配置能够降低违约风险,但是宽松的货币政策会刺激管理层的短视投资行为,抑制政府规制的公司治理作用。进一步地,本文提出会计稳健性的提升是企业金融资产配置降低违约风险的重要路径。本文的研究结论丰富了企业金融资产配置动机和违约风险影响因素的讨论,能够为政府部门防范经济运行中的内在风险提供有益借鉴。     

Crowdsourcing-based semantic relation recognition for natural language questions over RDF data

ABSTRACT

Natural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods.     

视频业务识别方法综述

视频用户体验的质量要求给网络传输带来了巨大挑战，未来的虚拟现实/增强现实(Virtual Reality/Augmented Reality，VR/AR) 视频业务则对交互时延提出了更高要求。视频业务识别是网络运营商及视频业务提供商对视频进行优先网络资源分配和自适应速率控制的基本前提。综述了业务识别领域的一般研究方法及其对视频业务的具体应用。首先，总结了每种业务识别方法的工作原理，对比了这些方法应用于视频业务时的优缺点及在准确率和召回率指标上的识别性能;然后，特别介绍了可以提升识别准确率和计算性能的特征选择算法;最后，阐述并分析了高吞吐量网络分类速度不够、无成熟视频业务识别平台和样本分布不均衡等视频业务识别面临的挑战，并针对现有业务识别方法存在的问题，给出了引入移动边缘计算、基于端口的方法串联其他识别方法等可能的解决方案。     

Market Access,Labor Mobility,and the Wage Skill Premium: New Evidence from Chinese Cities

Open Economies Review - Labor market reforms in developing economies have causes economic regions to open up, providing greater market access to businesses and leading to urban migration. This...     

Do site visits mitigate corporate fraudulence? Evidence from China

Corporate site visits emerge as an increasingly important means of information acquisition process for analysts and institutional investors. In this study, we test whether and how site visits mitigate corporate fraud risk using a unique dataset of site visits to Chinese listed firms. We find that corporate site visits can substantially reduce the incidence of corporate fraud, which is robust to adding a series of control variables, alternative model specifications and alternative measures of corporate fraud, as well as accounting for endogeneity issue and controlling for firm and time fixed effects. This negative effect is more pronounced for firms with poorer information environment and for firms with weaker corporate governance. Furthermore, we examine the mechanisms underlying the negative association between site visits and corporate fraud. Overall, this paper contributes to the literature by providing complementary evidence that site visits are important venues for analysts and institutional investors to collect firm-specific information and monitor the management of firms in China. Our findings also provide significant practical and policy implications for investors and regulators who seek to promote corporate information disclosure and mitigate the risk of corporate fraud.     

The internal dynamic of Indian economic growth

A stylised fact of India's economic history since 1950 is that the rate of growth of the economy has accelerated periodically and across policy regimes. In this paper we present a theoretical framework that can generate such a pattern due to cumulative causation through positive feedback. The growth process is then investigated using cointegration analysis. We are able to establish the existence of positive feedback which is at the centre of cumulative causation. We are also able to date the onset of this mechanism which has driven growth in India for close to half a century by now. This leads us to conclude that the internal dynamics are at least as important as the policy regimes to understand growth over the long term in this country.     

CEO career concerns and investment efficiency: Evidence from China

This paper investigates the impact of CEO career concerns on a firm's investment efficiency for publicly listed Chinese companies from 2002 to 2009. We use CEO age and appointment of new CEO as proxies for CEO career concerns. For the whole sample, we demonstrate that younger CEOs and newly appointed CEOs are prone to invest less and more efficiently. We divide our sample into state-owned enterprises and non-state-owned enterprises, depending on their ultimate ownership. The age effect seems stronger in state-owned enterprises and the new appointment effect seems stronger in non-state-owned enterprises. Our results indicate that CEOs have long-term career concerns that can improve a firm's investment efficiency even in a transitional economy such as China.     

非对称信息下供应链回购策略的研究

为了解决供应链中下游零售商的成本和需求预测信息是私有信息的情况下,上游供应商的回购决策问题,运用委托-代理模型研究了供应商的最优回购策略,得到了供应商的最优决策方案。利用最小承诺驱使零售商传递真实的需求预测信息,并证明零售商总是传递真实的成本信息。在此基础上进行公式的推导,并进行数值分析与模型验证,得出最终结论。     

内蒙古褐煤分级综合利用

在对比分析目国内外褐煤综合利用的主流技术的基础上,提出内蒙古锡盟褐煤资源分级综合利用方案。技术经济分析结果显示,采用锡盟褐煤分级综合利用方案可缓解褐煤直接燃烧产生的环境污染、热利用率低等问题,可得到多种煤基产品。该方案是实现褐煤资源的分级转化和高附加值利用、最终实现锡盟褐煤资源清洁高效利用的有效途径。