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This study aims to make a comparative study of the applicability of the purchasing power parity (PPP) in selected less developing countries (LDCs) on one hand and European countries on the other hand.

The research design is empirical and ex post facto. This study uses an assortment of co-integration tests and error correction representation. The chosen approach allows for the consideration of long-run elasticities and the dynamics of the short-run adjustment of exchange rates to changes in domestic and foreign prices. Monthly data are used for the period 1980:1 through 2015:12 (i.e. 432 observations).

Results from long-run co-integration analysis, short-run error correction models and persistence profile analysis overwhelmingly confirm the validity of PPP in these two sets of countries regardless the disparity in their relative exchange rate and price characteristics.

Curiously, several of these empirical studies and still many more, have focused their attention on the experiences of industrialized countries, with a few investigations devoted to LDCs. The evidence is even scarcer in Africa. Clearly, the acceptance of any hypothesis as a credible explanation of economic reality hinges on the robustness of the hypothesis across countries with different economic and institutional frameworks.

Knowledge of the extent to which exchange rate and relative prices can be linked in the long run is important for the design and management of inflation and the implementation of monetary policy. For instance, policy actions aimed at stabilizing the domestic economy can obtain results that are, at best, uncertain in the absence of correct characterization of the PPP dynamics. Moreover, structural and macroeconomic adjustment programs implemented in these countries to achieve economic growth and external competitiveness could be unsuccessful if flawed estimates of PPP exchange rates are retained.

Several empirical studies have been done to prove the validity or otherwise of the PPP. Unlike prior authors, this study makes a comparative study of the applicability of the PPP in selected LDC on one hand and European countries.

This note reports the results of a survey sent to chief financial officers of the 250 largest U.S.‐based multinational types of exchange risk exposures concern CFOs and the techniques they use for hedging exchange rate risks.

Country‐specific information on risk management is increasingly important, not only for investors and decision makers in international markets but also, for those in national and regional markets. This study reports the results of a cross‐sectional survey of risk management practice and derivatives use by a sample of Australian firms. Overall, the results suggest that firm‐specific factors appear to have some influence on risk management practice with the industry of the respondent being the most important, while the degree of international exposure has the least. Larger and more internationally exposed firms are likely to have more frequent reporting of derivatives use, and are more likely to use swaps and options to manage risks than other types of firms. Issues and implications for international firms are discussed.

Centuries of protection have impeded innovation in the textile industry. As these protections elapse, the industry must contend with increasing competition from abroad. This raises the question: will more R&D expenditure enhance competitiveness? To assess this, we measure firm profitability using Tobin's q, the ratio of the stock market valuation of the firm compared to the book value of the firm's assets. Q values are compared to other financial ratios, and then used to assess the impact of research and development (R&D) spending. A Mann‐Whitney rank test indicates firms that conduct R&D are not more profitable, as measured by q, than those that do not conduct R&D.

The purpose of this paper is to identify requirements and tradeoffs on logistics services for enhanced circularity of materials and resources.

Based on multiple case study design and abductive reasoning, the study investigates 13 different product categories. The data were analyzed based on theoretical, a priori codes from the literature review. Inductive, emerging codes were added to the coding scheme during the analysis.

Requirements of logistics services to support slowing of resource flows are categorized with respect to initiator, location of the service, single or multiple actors, and transportation of parts, products and people. Moreover, the study identifies new logistics tradeoffs: material and people, knowledge and people, and information and knowledge. Transportation of product, people and parts can be reduced by increasing local knowledge and improve information sharing.

This review contributes to the understanding of the relationship between logistics services and enhancement of circularity by highlighting requirements on logistics services in the aftermarket supply chain that support slowing of resource flows. To enhance circularity, logistics services must extend the traditional material information flow with the flow of people and knowledge, respectively.

The categorization provides practitioners and researchers with an overview of requirements and tradeoffs on logistics services to enhance circularity of a particular circular cycle. The implications will provide an opportunity to address environmental impact of transportation and improve the utilization of scarce materials.

Variety of tradeoffs in logistics services can enhance slowing and hence circularity of scarce materials.

First, the authors illustrate how traditional tradeoffs in logistics such as flow of materials, resources and people need to be addressed to enhance circularity through slowing. Second, the authors identify two new tradeoffs in logistics services: knowledge flow and degree of customer involvement.

The current paper aims to discuss the implementation of Green Lean Six Sigma (GLSS) in the food industry to improve sustainable practices. The focus is more specifically on dairy processors to ascertain the current state of the literature and aid future research direction.

Utilising a systematic literature review (SLR), the paper addresses various terms and different written forms in the literature. The study characterises the current deployment of GLSS in the food industry and explains the reported benefits of this approach.

GLSS, a concept that has yet to be fully explored in the food industry, as in other sectors, holds significant potential to enhance the food industry’s sustainability practices. The dairy sector, a subsector of the food industry known for its high greenhouse gas emissions, is a prime candidate for the application of GLSS. In instances where it has been applied, GLSS has demonstrated its effectiveness in improving sustainability, reducing waste, lowering greenhouse gas emissions and minimising water usage. However, the specific tools used and the model for GLSS implementation are areas that require further study, as they have the potential to revolutionise food industry operations and reduce their environmental impacts.

Benchmarking of this research by the food industry sector and by academics can aid understanding of the practical application of GLSS tools and aid implementation of these practices to evolve the dairy processing sector in the next decade as sustainability champions in the sector.

This study extensively analyses GLSS in the food industry, with a particular focus on dairy processors.

This project aims to optimise a secondary agricultural company’s reporting and data lifecycle by providing self-help business intelligence at an optimal price point for all business users.

A design for Lean Six Sigma approach utilising the define, measure analyse, design and verify methodology was utilised to design a new reporting and data product lifecycle.

The study found that this approach allowed a very structured delivery of a complex program. The various tools used assisted greatly in delivering results while balancing the needs of the team.

This study demonstrates how improving data analysis and enhanced intelligence reporting in agribusinesses enable better decision making and thus improves efficiencies so that the agribusiness can leverage the learnings.

Improving data analysis increases efficiency and reduces agrifood food wastage thus improving sustainability and environmental impacts.

This paper proposes creating a standardised approach to deploying Six Sigma methodology to correct both the data provisioning lifecycle and the subsequent business intelligence reporting lifecycle. It is the first study to look at process optimisation across the agricultural industry’s entire data and business intelligence lifecycle.

This paper seeks to evaluate the research records of scholars contributing articles to the two premier financial education journals – Journal of Financial Education (JFED) and Financial Practice and Education (FPE) – as a means by which to obtain indirect evidence about the quality of the articles appearing in these education journals. The implicit assumption is that authors who publish in the best finance research journals will apply the same standards of excellence and rigor when preparing manuscripts for financial education journals.

The names of all authors appearing in the JFED and FPE during the 1972‐2010 period – and the number of such appearances – were summarized directly from the journals' table of contents. The number of appearances by each author in a set of 23 high‐impact finance journals was identified by reference to the table of contents of these journals.

The majority of the authors appearing in the two education journals have also penned one or more high‐impact article, with an average of over three high‐impact appearances.

The identification of a unique set of the 23 “best” journals in any academic field is an inherently subjective task. The exclusion of additional high‐quality journals from this list (especially those from the related fields of accounting and economics) might short change the research records of some education authors.

Evidence about the average quality of articles appearing in education journals could be useful to university administrators when evaluating faculty research records for purposes of tenure, promotion, and merit awards.

This paper aims to make an attempt to identify the determinants of dividend policy by analyzing 125 real estate companies, which are selected on the basis of consistent dividend distribution throughout the study period. Most of these companies either listed with Bombay Stock Exchange or National Stock Exchange.

This paper applies three alternative methods to verify and validate the results obtained from each other method, namely, fully modified ordinary least square (FMOLS), dynamic ordinary least square and generalized method of moments (GMM). Data collected of the selected companies’ post-recession period i.e. 2009-2017. The selected companies have age either 5 years old or more when data are retrieved from the above-mentioned sources. Due to much volatility in the recession period in the real estate firms at the global level, no data have been taken of the firms before March 2009. Moreover, for arriving at good analysis and an adequate number of observations for the study more recent data have been taken.

Empirical findings of this research paper depict that firm previous dividend, firm risk and liquidity are strong predictors of future dividend payout ratios (DPRs). The results indicate that firm risk as measured through price-earnings ratio (PE ratio) has a positive association with a DPR of selected real estate firms. Lagged DPR used in the GMM test as an exogenous variable is showing positive significant association with DPR. Firm’s growth is found significant in FMOLS and GMM techniques. On the other firm’s size is found significant according to cointegration techniques.

The present study shall be useful to different stakeholders of real estate companies. Various significant determinants as identified can be used by management for designing optimum dividend policy and providing maximum benefits to existing shareholders. Similarly existing and prospective shareholders may predict the future payment of dividend and accordingly they may take investment decisions in these firms, as the future fund’s requirement of a firm depends upon dividend payment and retention ratio.

As per the authors’ knowledge, there is no single study carried in the post-recession period to predict determinants of dividend policy of real estate sector using three alternatives of methods to verify and validate the results obtained from each other method. The study is carried out after exploring determinant from a diverse range of period of studies (oldest one to latest one).