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Institutional bibliometric analyses compare as a rule the performance of different institutions. The purpose of this paper is to use a statistical approach which not only allows a comparison of the citation impact of papers from selected institutions, but also a comparison of the citation impact of the papers of these institutions with all other papers published in a particular time frame.

The study is based on a randomly selected cluster sample (n=4,327,013 articles and reviews from 2000 to 2004), which is drawn from a bibliometric in-house database including Web of Science data. Regression models are used to analyze citation impact scores. Subsequent to the models, average predictions at specific interesting values are calculated to analyze which factors could have an effect on the impact scores-the journal impact factor (JIF), of the journals which published the papers and the number of affiliations given in a paper.

Three anonymous German institutions are compared with one another and with the set of all other papers in the time frame. As an indicator of institutional performance, fractionally counted PP_{top 50%} on the level of individual papers are used. This indicator is a normalized impact score whereas each paper is fractionally assigned to the 50 percent most frequently cited papers within its subject category and publication year. The results show that the JIF and the number of affiliations have a statistically significant effect on the institutional performance.

Fractional regression models are introduced to analyze the fractionally counted PP_{top 50%} on the level of individual papers.

The purpose of this paper is to analyse the effect of attitudes and socio-demographics on wine consumers’ real purchase behaviour for organic wine.

This study is based on GfK household panel data, a real market data source of high population coverage. A two-part fractional model was applied as two distinct categories of wine buyers were observed. The first part of the two-part fractional model consisted of a standard binary choice model and defined the likelihood of belonging to the group of organic wine buyers. The second part of the model only took organic wine buyers into account and described their purchase intensity.

Preferences for organic products and sustainability concerns (e.g. environmental and social concerns) drive organic wine purchases. Proving a causal relation between attitudes and purchase behaviour gives evidence that stated preferences are a reliable indicator to predict consumer behaviour. However, the weak relation between attitudes and behaviour confirms the existence of an attitude-behaviour gap.

Quality benefits of organic wine production need to be communicated to attract new customers. Stronger focus should be put on sustainability issues with the aim of encouraging organic customers to also increase their expenditures for organic wine.

The influence of sustainability concerns on purchase behaviour is still controversial and no study, so far, has analysed real purchase data for organic wine. The results provide new insights on why attitudes do not fully transform into purchase behaviour.

The purpose of this paper is to empirically assess the efficiency (transaction efficiency, intermediation efficiency and profit efficiency) of the retail branches of a large bank and identify the driver parameters of the same.

The authors use the non-parametric data envelopment analysis approach to analyze the financial performance of 247 branches in 2014, spread over 14 states of a country. After checking for possible misspecification bias, the authors use the fractional regression approach in the second stage of the analysis to assess possible drivers of the efficiency of bank branches in terms of the size of business, funding mix, per employee contribution to business and profit and business per transaction. In addition, the authors included spatial parameters like economic condition and competitive position of branches in their analysis.

The authors find that on an overall basis, there might be a deliberate initiative of the top management of the bank to over-branch in order to improve the output at the aggregate level which is above the level of cost minimization. The study clearly indicates to the top management that low-cost deposit is a significant driver of branch efficiency apart from business per transaction, income per employee. Moreover, it is found that branches located in areas of high branch concentration are more efficient, and local economic condition does drive efficiency of branches.

The authors address the dilemma faced by the top management of banks in arriving at an appropriate scientific benchmark to assess the performance of branches based on the drivers of efficiency and initiate suitable strategic interventions to improve their efficiency.

The integrated assessment of the efficiency of bank branches and arriving at the drivers of efficiency using the fractional regression model framework are likely to prove beneficial in the benchmarking exercise of the performance of bank branches.

The purpose of this paper is to measure profitability and marketability efficiencies as well as examine the efficiencies’ determinants of listed manufacturing firms in Vietnam.

This study employs a bootstrap two-stage data envelopment analysis (DEA) approach to investigate the profitability and marketability efficiencies of 102 listed manufacturing firms on Vietnam stock market from 2007 to 2018. The study also applies fractional regression models (FRM) to identify the determinants of Vietnam manufacturing firms’ efficiencies.

The results reveal that Vietnam manufacturing firms obtain higher average profitability efficiency scores (0.888) than marketability efficiency scores (0.527) from 2007 to 2018. The high-tech firms achieve better profitability and marketability efficiencies than the traditional (resource-intensive and labour-intensive) Vietnam manufacturing firms in recent years (2016–2018). Further, the financial and non-financial factors have heterogeneous impacts on Vietnam manufacturing enterprises’ profit and market valuation efficiencies.

Due to the nature of DEA technique that requires every decision-making unit to have available data of all inputs and outputs, the listed Vietnam manufacturing firms that have incomplete data or go public after 2007 are not included in the data set.

This study provides a reference for Vietnam manufacturing managers to position their firms competitively in the market as well as make wise operating, financing and management decisions.

This is the first study that attempts to combine bootstrap two-stage DEA and FRM, which are considered advantageous methods for DEA scores’ measurements and determinant evaluations in the current literature.

The study aims to investigate the profitability and marketability efficiency scores and determinants of 899 listed manufacturers in six Southeast Asian countries: Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam.

The study employs the bootstrap two-stage data envelopment analysis (DEA) to measure profitability and marketability efficiencies of Southeast Asian manufacturers. The study uses the panel-data fractional regression model (FRM), which is an advantageous method that is suitable for the fractional response variables and applicable to time-differing heterogeneity, to investigate the determinants of Southeast Asian manufacturers' efficiencies.

The study demonstrates that listed manufacturers in Indonesia and Singapore achieve the highest average profitability and marketability efficiencies among the six Southeast Asian countries. The study also shows that the cash ratio, institutional ownership, headcount and technology-application positively affect Southeast Asian-listed manufacturers' profitability and marketability efficiencies at different levels of significance.

The current study is the first assessment of the listed manufacturers' profitability and marketability efficiencies in Southeast Asian countries, which consist of different market levels (developed, emerging and frontier markets). The study is a reference source for regional investors, manufacturers' managers and governments to make appropriate decisions in investing, managing and enhancing the development of the Southeast Asian manufacturing sector.

The study examines the impact of income diversification on cost efficiency of Vietnamese commercial banks over the period 2005–2017.

Income diversification indicators are designed based on measures of diversifying loan portfolio. Besides the traditional model, we use the Fractional Regression to estimate the model with dependent variables defined on the unit interval.

Through the two-stage DEA analysis, we find that the income diversification has a positive impact on the cost efficiency of banks. In addition, this impact is stronger for unlisted banks and in the phase of banking system ongoing restructuring.

The use of a variety of income diversification measures and estimation methods for models with bounded dependent variable has provided a reliable empirical evidence of the advantages of implementing a strategy on structural diversity of both interest and non-interest income in the emerging banking markets such as Vietnam.

The purpose of this paper, based on first-hand data from 255 chairmen of planting cooperatives in Sichuan province, is threefold: to understand their social network heterogeneity; to understand the significance for members of marketing innovation in farmers' cooperatives and to understand the effects of chairmen's social network heterogeneity on cooperative marketing innovation.

The research employs an empirical survey of the chairmen of planting cooperatives in rural Sichuan province. The researchers use the ordinary least squares method to conduct regression on the data and the generalized linear model to process the data and avoid errors in the model setting. In the study, the following two hypotheses are examined: (1) The heterogeneity of chairmen's social networks has positive effects on cooperative marketing innovation; (2) The effects of heterogeneous external and internal social networks on cooperative marketing innovation are different.

The results show that both external and internal social network heterogeneity has positive effects on cooperative marketing innovation, and the effects of internal heterogeneity are greater than that of external heterogeneity.

This paper contributes to improving the income of farmers, the innovation of farmers' cooperatives and the development of agriculture in China. It provides a new way of managing and serving members to enable the long-term sustainable development of farmers' cooperatives.

The purpose of this paper is to investigate the extent of voluntary climate change disclosures in the Turkish banking industry and explore the factors explaining the extent of such disclosures.

The research sample is based upon 24 banks that had been continuously operating in Turkey over the seven-year period from 2010 to 2016. The study uses a disclosure index to investigate the extent of voluntary climate change-related disclosures made in their annual and sustainability reports by banks. The study also investigates factors impacting the extent of disclosures by using multiple regression and fractional regression analysis.

The findings of the research reveal that while the number of banks providing voluntary information on their climate change-related practices substantially increased from 2010 to 2016, there remains a significant number of banks that have not incorporated climate change-related issues into their lending policies or corporate strategies. Further, with regard to the regression analysis, the study documents the significant and positive impacts of bank size, profitability, bank age and listing status upon the extent of the climate change disclosures, in line with political cost and legitimacy theory.

The banking sector crucially impacts climate change indirectly, since banks provide financial backing to companies operating in environmentally sensitive industries. This paper presents empirical evidence of the factors impacting the extent of climate change disclosures by these banks, which might then be referred to by regulatory bodies when developing policies to promote environmentally responsible business practices within the banking industry.

Several parties, which include governments, companies, financial institutions and non-governmental organizations (NGOs) must work together to fight climate change. In this sense, the NGOs and green activists have a crucial role in raising public awareness about climate change, which might then inspire financial institutions to incorporate climate change-related issues into their policies, operations and strategies.

The study extends the prior literature in two ways. This study has concentrated on environmental reporting practices in the banking sector which have been investigated in very few prior studies. Since prior research has focused on developed countries, this paper adds to the current literature by examining the environmental disclosure practices of commercial banks operating in Turkey, which is a rapidly developing country.

The aim of this paper is to examine the impact of three main technologies on converting browsers into customers: impact of review rating (location rating and service rating), recommendation and search listings.

This paper estimates conversion rate model parameters using a quasi-likelihood method with the Bernoulli log-likelihood function and parametric regression model based on the beta distribution.

The results show that a high rank in search listings, a high number of recommendations and location rating have a significant and positive impact on conversion rates. However, service rating and star rating do not have a significant effect on conversion rate. Furthermore, room price and hotel size are negatively associated with conversion rate. It was also found that a high rank in search listings, a high number of recommendations and location rating increase online hotel bookings. Furthermore, it was found that a high number of recommendations increase the conversion rate of hotels with low ranks.

The findings show that hotels’ location ratings are more important than both star and service ratings for the conversion of visitors into customers. Thus, hotels that are located in convenient locations can charge higher prices. The results may also help entrepreneurs who are planning to open new hotels to forecast the conversion rates and demand for specific locations. It was found that a high number of recommendations help to increase the conversion rate of hotels with low ranks. This result suggests that a high numbers of recommendations mitigate the adverse effect of a low rank in search listings on the conversion rate.

This paper contributes to the understanding of the drivers of conversion rates in online channels for the successful implementation of hotel marketing.

Little econometric evidence exists on the determinants of nonfarm participation among ethnic minorities in Vietnam. The purpose of this paper is to examine the intensity of nonfarm participation and its correlates among ethnic minority households in Northwest Mountains – the poorest region of Vietnam.

Factors affecting the level of nonfarm participation were examined by using a fractional logit model. In addition, regression analysis using analysis of variance models were used to compare the mean of household characteristics and assets between households with and without nonfarm employment.

The study found that households depended heavily on agriculture for subsistence and their access to nonfarm employment is very limited. Households with nonfarm employment had much higher levels of education, income, assets and a much lower level of poverty than those without nonfarm participation. The intensity of nonfarm participation is positively associated with education levels, proportion of male working members and fixed assets but negatively correlated with the size of annual crop land and water surface for aquaculture. Also, the presence of nonfarm opportunities and paved roads in a commune increases the intensity of nonfarm participation for households living in that commune.

The findings suggest that any poverty alleviation policies should aim at improving the access of ethnic minorities to education and nonfarm job opportunities.

The study offers the first evidence of factors affecting the intensity of nonfarm participation among ethnic minorities in the study area.