Search results

This study aims to analyse the structure and the competitiveness of the international coffee market.

To describe the international market structure, this study uses Herfindahl–Hirschman index, net export index (NEI), and to measure export competitiveness revealed symmetric comparative advantage (RSCA). Finally, survival function analyses were developed using the Kaplan–Meier product-limit estimator to characterize the stability and duration of the competitiveness in the international coffee market.

The results reveal that the imports and exports market structure are unconcentrated. NEI shows that several countries are stable in their commercial characteristics (imports, exports and re-exports), nevertheless, NEI also revealed countries transitioning through the commercial characteristics, that the international coffee market structure presents dynamic commercial characteristics. The result for (RSCA shows that Uganda, Ethiopia, Honduras, Brazil, Colombia, Guatemala and Indonesia had the highest values and also resulted in better survival rates along with Italy, India, Mexico and Switzerland. The stability of RSCA indices is investigated by regression analysis, showing a tendency to increase expertise in coffee exports from 2015.

This study provides a comprehensive and recent analysis of the international coffee market structure and competitiveness, contributing to the analysis of the international market of the product.

The purpose of this paper is to propose a semiparametric estimator for the tail index of Pareto-type random truncated data that improves the existing ones in terms of mean square error. Moreover, we establish its consistency and asymptotic normality.

To construct a root mean squared error (RMSE)-reduced estimator of the tail index, the authors used the semiparametric estimator of the underlying distribution function given by Wang (1989). This allows us to define the corresponding tail process and provide a weak approximation to this one. By means of a functional representation of the given estimator of the tail index and by using this weak approximation, the authors establish the asymptotic normality of the aforementioned RMSE-reduced estimator.

In basis on a semiparametric estimator of the underlying distribution function, the authors proposed a new estimation method to the tail index of Pareto-type distributions for randomly right-truncated data. Compared with the existing ones, this estimator behaves well both in terms of bias and RMSE. A useful weak approximation of the corresponding tail empirical process allowed us to establish both the consistency and asymptotic normality of the proposed estimator.

A new tail semiparametric (empirical) process for truncated data is introduced, a new estimator for the tail index of Pareto-type truncated data is introduced and asymptotic normality of the proposed estimator is established.

This paper aims to analyse the wine market in relation to international competitiveness and international market structure.

To describe the international market structure, this paper uses Herfindahl–Hirschman Index and Net Export Index to measure export competitiveness revealed symmetric comparative advantage (RSCA). Finally, survival function analyses were developed using the Kaplan–Meier product-limit estimator to characterise the stability and duration of the competitiveness in the international wine market of each country and after they were grouped into Old and New World wine-exporting countries, and Wilcoxon and the Log-rank tests were used to compare the survivor functions.

The findings have revealed that the import market structure has remained unconcentrated, whereas the export market structure is moderately concentrated. Concerning trade characteristics, France, Italy, Spain, Australia, Chile, New Zealand, Portugal, Argentina, South Africa and Georgia are exporters. Austria is a trader (re-exporter), and the USA, Germany, the UK and the Netherlands are importers with strong domestic consumption. Regarding the RSCA, the New and Old World wine-exporting countries have high scores, specifically France, Italy, Spain, Australia, Chile, New Zealand, Portugal, Argentina, South Africa and Georgia. However, the advantages have weakened for most of the countries analysed. Only a few Old World wine-exporting counties (France, Italy, Spain, Portugal and Georgia) have demonstrated stable comparative advantages over time. However, when grouped into Old World and New World, their survivor functions present little statistical differentiation during the period.

The originality of the paper is that it applies the industrial organisation and comparative advantage approaches to the wine international market, highlighting the top global players. The paper also makes valuable contributions to the wine literature by analysing the duration and stability of comparative advantage in the worldwide wine trade at a country level and comparing them grouped into Old and New World wine-exporting countries.

The purpose of this paper is to describe how one group of ADVANCE Project researchers investigated faculty co-authorship networks to identify relationships between women’s positions in these networks, their research productivity and their advancement at the university – and to make those relationships transparent.

Multiple methods for capturing faculty network data were evaluated, including collecting self-reported data and mining bibliometric data from various web-based sources. Faculty co-authorship networks were subsequently analyzed using several methodologies including social network analysis (SNA), network visualizations and the Kaplan–Meier product limit estimator.

Results suggest that co-authorship provides an important way for faculty to signal the value of their work, meaning that co-authoring with many others may be beneficial to productivity and promotion. However, patterns of homophily indicate that male faculty tend to collaborate more with other men, reducing signaling opportunities for women. Visualizing these networks can assist faculty in finding and connecting with new collaborators and can provide administrators with unique views of the interactions within their organizations. Finally, Kaplan–Meier survival studies showed longitudinal differences in the retention and advancement of faculty based on gender.

Together, these findings begin to shed light on subtle differences that, over time, may account for the significant gender disparities at STEM institutions, patterns which should be investigated and addressed by administrators. Lessons learned, as well as the novel use of SNA and Kaplan–Meier in investigating gender differences in STEM faculty, provide important findings for other researchers seeking to conduct similar studies at their own institutions.

The purpose of this paper is to investigate the determinants of the timing of bank failure in North Cyprus over the period of 1984‐2002 using a discrete‐time logistic survival analysis.

The empirical methodology employed in the paper allows for the determination of the factors that influence the time to bank failure. The model links the time of bank failure to a set of bank‐specific factors and macro‐environment that may have exacerbated the internal troubles of the financial institutions.

An empirical examination of the results on survival analysis reveal that the three variables, namely: low asset quality (total loan as a percentage of total assets), low liquidity (total liquid asset as a percentage of total assets), and high credit extended to the private sector (ratio of the private credit to gross domestic product) are the main factors that explain the survival time of banks in North Cyprus.

For further research this paper may better distinguish time to bank failure if it extends the time period and if it uses exchange pressure from Turkey that may have a direct effect on bank failure in North Cyprus.

Nowadays bank failure is an important problem in the world. Using time technique to investigate bank failure will help to learn the factors that determine time to bank failure, which will further help to take precautions and prevent the cost of bank failure.

The analysis would appear to be the first to provide evidence and investigate the time to bank failure in the North Cyprus banking sector.

The purpose of this study is to analyse the whisky market in relation to international competitiveness and international market structure.

The study uses Herfindahl–Hirschman index and net export index to describe the international market structure, and revealed symmetric comparative advantage (RSCA) index to measure export competitiveness. In addition, it was developed this stability and duration through regression analysis, and used Kaplan–Meier estimator to characterize the competitiveness survival in international whisky market.

The results reveal that imports market structure remained unconcentrated and, on the other hand, exports market structure is highly concentrated. Concerning the trade characteristics, UK and Ireland have a strong tendency to export; Australia, France, Japan and Spain have a strong position on import and consumption; and Latvia, The Netherlands and Singapore to re-export. About the RSCA, UK, Ireland and Latvia have highest values. UK and Ireland are totally stable during the period analysed, and other countries such as USA, Singapore and Latvia also have a greater survival rate of RSCA.

This study provides a comprehensive and current analysis of the international whisky market structure and competitiveness, contributing to the analysis of the international market for products that have differentiation and focus appeal, such as whisky.

The role of a reliability analysis for improving the performance of libraries and information services has become extremely crucial. The research question considered here is simple and can be summarized as follows: “How reliable is your library?”. Indeed, reliability considerations go beyond the issue of quality since they incorporate the dimension of time, i.e. they involve a number of different activities and operations that take place throughout the life‐cycle of a library system or service. This paper seeks to address these issues.

Inference modelling techniques based on both parametric and nonparametric methods are reviewed and presented together with illustrative examples. From a wide number of non‐parametric methods that have been made available for reliability estimation, the ones examined here are the Kaplan‐Meier and the Cumulative‐hazard methods. Furthermore, parametric methods and applications, which are based on the Weibull distributional model, are examined.

The nonparametric reliability modelling methods presented are simple to use and suitable for estimating the reliability of information systems and services directly from the available life data. The Weibull analysis is quite useful for a wide range of library management methods, financial applications, for modelling user behaviour within many library settings and systems i.e. digital information systems.

This is among the first implementations of reliability analysis in libraries and information services. This paper provides essential insight to library management researchers and practitioners on how they might incorporate into the library management agenda reliability considerations. The reliability modelling techniques presented can be employed with all types of information services, and not just libraries.

Banks in India have started opening their branches in different areas to make sure that their customers get a high-touch experience and they see them as a premier brand. This could be ensured only if the banks show a stable physical presence in the market as well as provide the recent high-tech services to their customers as per the population group. The purpose of this study is to examine the survival rates of the commercial banks in India across the four population groups along with the differences that exist in their survival rates in all the population groups.

The analysis is based on the quarterly data of the number of functioning offices of the commercial banks in India as per the four population groups from March 2006 to December 2019. The survival is estimated using the Kaplan–Meier estimator.

From the analysis, it is revealed that survival of the banks changes as per the population group. In addition to this, it is found that the survival time of each category of the bank varies in each population group.

This study focuses only on the commercial banks of India; a similar research could be done for other categories of Indian banks. Also, the results would have been different if the variables such as the size of the bank, bank risk, etc. are included and studied. Moreover, this study is done using the Kaplan–Meier estimator, i.e. time-to-event. Further, an advance study could be done after considering the financial parameters of banks using the Cox’s regression model, which explores the relationship between various predictors and the time-to-event.

Due to the changes in the preferences of societies, the banks should also adopt different strategies to ensure that their products are understood and accepted by their customers. This will eventually increase the survival rate of the banks.

The work made in this study is completely new.

Comparative advantage is an important indicator in the analysis of international trade flow; however, in empirical studies on agriculture it is often neglected. The purpose of this paper is to analyse global comparative advantage in the European Union (EU) wine industry and to test the duration and stability of trade indices.

The paper applies the theory of comparative advantages by using the Balassa indices to European wine trade (based on the 16 biggest producers) data from the period 2000-2013. Moreover, it applies stability and duration analysis on comparative advantages calculated.

Results suggest that Bulgaria, Cyprus, France, Greece, Italy, Portugal, and Spain are the highest ranked European wine producers in the world market and have the largest comparative advantages. However, duration and stability tests indicate that trade advantages have weakened for the majority of these countries. The paper discusses a number of reasons for this downturn, including changes to Common Agricultural Policy wine regulation, economic crisis, and the rise of New World wine producers.

The originality of the paper is that it applies the theory of comparative advantage to top wine exporters in the EU. The paper also makes valuable contributions to the wine literature by analysing the duration and stability of comparative advantage in the global wine trade. Moreover, the identification of industry-specific causes for changing patterns in comparative advantage in the EU might be important to the wine industry.