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1.
This paper investigates not only the question of whether there is exchange rate pass‐through (ERPT) but also the extent to which the pass‐through is asymmetric or state‐dependent in the BRICS countries. Using monthly data from 1999:M1 to 2019:M12 and non‐linear smooth transition vector autoregressive (STVAR) model, our results provide evidence of period‐specific ERPT between the upper and lower regime periods, governed by the selected transition variables. The results further suggest that the pass‐through of exchange rate is higher when the economy is experiencing large appreciations and expansions as well as large depreciations and recessions. Theimplication for these findings is that ERPT is strongly affected by the state of the economy. 相似文献
2.
An Internet nickname is essential in facilitating online interpersonal interactions. It is a pivotal element of interaction that provides other users with an initial impression and affects the decisions and behaviors of users during their online interactions. Although the existing literature has found that nicknames are relevant to users’ psychology and behavior, direct research on the motivation for and the effect of choosing a particular Internet nickname has been very limited. Borrowing from relevant theories on avatars, this paper summarizes the motivations behind Internet nickname choices in terms of three aspects: virtual exploration, social navigation and contextual adaptation. Moreover, from the perspective of collective self-esteem (CSE) and group identification, this research explores the influence mechanism between the motivations underlying Internet nickname choices and users’ online social interactions. A total of 394 samples were obtained from online communities in China to test our research model. We found that virtual exploration, social navigation and contextual adaptation are three motivations for creating Internet nicknames, and they have direct effects on the online social interactions of users. CSE has a full mediating effect between virtual exploration and online social interaction and acts as a mediated variable between social navigation and online social interaction. Group identification fully mediates the relationship between social navigation and online social interaction as well as that between contextual adaptation and online social interaction. The conclusion of this paper provides not only a new perspective for the study of Internet nicknames but also a potentially feasible way to stimulate users’ online social interactions. 相似文献
3.
Mohammad Shokri 《Journal of Relationship Marketing》2019,18(2):124-145
The present research aims at examining the role of consumer-brand identification (CBI) in attitude toward brand extension regarding the congruency between the values of consumers and brands. In this way, the benefits of CBI to consumers and brand managers are outlined. This research has been conducted through designing a survey and collecting data through a questionnaire. For data mining and investigating the model, the SEM approach is implemented. According to the findings, high levels of CBI lead to positive attitudes toward the brand extension, and that value congruity positively impacts this relationship. The results outline that CBI impacts fit and tie in separate ways, so that CBI effect on fit is more substantial. Furthermore, according to the results, in comparison to the role of tie, the role of fit is more significant in predicting attitudes toward brand extension. The sample from university students is appropriate for testing theory, but limits generalizing the results of the research. In addition, this research has studied one product category and is limited in this perspective. The findings have remarkable recommendations for implementing brand extension as they emphasize the role of perceived fit. Moreover, by reexamining CBI in a less known market, the research has outlined its positive outcomes for firms. This research has used perceived tie in a brand extension context and, similar to perceived fit, has implemented it as another factor to predict attitude toward brand extension. In addition, this research is unique, as it has investigated CBI in a new context. 相似文献
4.
关于健全独立董事制度的若干思考 总被引:4,自引:0,他引:4
入世给我国中小企业的发展带来了机遇与挑战。培育核心竞争力是其抓住机遇 ,应对挑战 ,走向成功的关键所在。文章在分析了我国中小企业面临困境的基础上 ,提出了培育我国中小企业核心竞争力 ,促进我国中小企业发展的方法和措施。 相似文献
5.
We consider the effect on the degree of exchange rate pass‐through of the exchange rate regime in operation. We test the hypothesis that pass‐through will be lower under a float as firms may be reluctant to pass appreciations or depreciations on to their customers when there is a strong chance that they will be subsequently reversed. Taylor’s hypothesis that pass‐through will be lower in a low‐inflation environment is also considered. Both hypotheses are assessed in relation to the price of manufactured imports into New Zealand and we find that, whereas the shift to a float dramatically lowered the degree of pass‐through, the later shift to a low‐inflation regime has no significant additional effect on the pass‐through relationship. 相似文献
6.
The underidentification of linear models with measurement error does not necessarily extend to panel data models, as has been shown by GAiliches and Hausman (1986). We discuss and extend some of their results for a simple case and address particular issues concerning identification and asymptotic variances. 相似文献
7.
文章阐述了核心竞争力和企业自生能力的内涵及其特征,总结了企业核心竞争力识别的方法,对企业如何解决自生能力进行了论述,并提出围绕主导产业,培植企业核心竞争能力和构筑企业自生能力的方法,同时给出了比较详细的实现途径,希望对现代企业的运作能起到一定的指导作用。 相似文献
8.
于光 《石家庄经济学院学报》2007,30(5):107-110
江泽民同志指出,人才是科技进步和经济社会发展最重要的资源,国家科技和经济的大发展必须靠知识,靠人才。本文从江泽民人才思想的发展、人才在实施科教兴国战略中的地位和作用、新形势下培养人才的标准以及人才的选拔和使用等方面对江泽民人才思想的核心内容进行重点解读,以期为新世纪社会主义人才队伍建设和管理工作提供一定的理论参考。 相似文献
9.
市场结构、汇率转嫁与出口 总被引:1,自引:0,他引:1
汇率变化是影响出口贸易的重要因素。在传统的国际贸易理论中,虽然对汇率变化影响出口贸易的机制进行了详细分析,但它没有考虑到市场结构的影响。本文从市场结构的角度出发,分析在不完全竞争的市场结构下,拥有市场势力的企业的决策怎样影响到汇率的变动和产品的出口。本文的研究结果表明,在不完全竞争的市场结构下,汇率转嫁是不完全的,因此,只有大的持久的汇率贬值或升值才会对出口贸易量产生明显的效应。 相似文献
10.
Moumita Saha Anirban Santara Pabitra Mitra Arun Chakraborty Ravi S. Nanjundiah 《International Journal of Forecasting》2021,37(1):58-71
The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon. 相似文献