Economic Reform and Corruption: Evidence from Panel Data

The notion that economic reform can reduce corruption remains prevalent in the policy agenda of international financial institutions, especially of the World Bank. Economic reforms have, therefore, been carried out throughout various parts of the world to improve the performance of the economies. Using data from 94 low‐ and middle‐income nations for the period 1996–2015, this study employs static and dynamic panel analysis to examine whether economic reform undertaken in accordance with the World Bank's reform programs negatively affects corruption. Our findings suggest that enhancing government effectiveness (i.e. independence of civil service from political pressure, provision of quality public services, effective policy formulation and the government's commitment to such policies) and improving public rights and civil liberties could be some of the most promising policies in terms of fighting corruption. The role of economic development and growth in real per capita income is also found to be significant in some of the specifications. However, the assertion that economic reform can reduce corruption is rejected in all the specifications. We rather find evidence that economic reforms negatively affect the ability of democracy to fight corruption, although on a slim margin. The central theme of the implications of our findings is that in combating corruption, social, institutional and legal means are far more important than economic means. The finding thus is compatible with the World Bank's effort in the later years to introduce governance and democracy as effective tool against corruption.     

Remittances and output in Bangladesh: an ARDL bounds testing approach to cointegration

Although the relationship between remittances and output is still inconclusive in literature, most studies find that remittances have a positive effect on output in the long run. Contrary to this conventional direction of causality from remittances to output, our study finds that output alone determined long-run movements in remittances in a positive direction in the Bangladesh economy over the last 35 years from 1976 to 2010. We use the autoregressive distributive lag (ARDL) bounds testing approach to cointegration to explore this long-run relationship. Surprisingly, remittances do not appear to be a long-run forcing variable to the explanation of Bangladesh’s output over the same period. While examining the channels of this output–remittance mechanism remains an area of research for the future, we hypothesize that the rise in remittances in response to increased income occurs through higher import demand and greater investment opportunities. This finding implies that Bangladeshi policymakers can influence remittances through national output in the long run.     

Antecedents of importer relationship performance in Latin America

Emerging market importers are increasingly engaging in relationships with foreign suppliers. Nevertheless, characteristics of the institutional and cultural environments of countries may affect relationship behavior. Furthermore, research on relationship marketing primarily focuses on the marketing activities of exporters from developed countries and much less attention is paid to the import side of the exchange process. Thus, the objective of this study is to empirically examine importer relationship performance in a Latin American context. This article proposes and tests a conceptual model that includes the antecedents and outcomes of trust and commitment with a survey of Chilean importers. The model uses confirmatory factor analysis (CFA) to develop the construct measures and structural equation modeling (SEM) to test the model. The findings of this study contribute to a better understanding of the driving forces of trust and commitment and their influence on importing firms' performance in an emerging market context.     

Problem directors on the audit committee and financial reporting quality

The objective of this paper is to examine empirically the consequences for financial reporting quality of having audit committees that include problem directors, that is, directors with prior involvement in corporate bankruptcies, major accounting restatements, or other accounting scandals. An ordinary least squares regression model is used to examine the association between problem directors on the audit committee and financial reporting quality as proxied by accruals and real earnings management. Results reveal that there is a positive association between the presence of problem directors on the audit committee and real earnings management, and this association is more pronounced in cases where those problem directors have been involved in prior instances of accounting restatements and fraudulent reporting practices.     

Measuring consumer understanding and perception of eco‐labelling: Item selection and scale validation

The use of “eco‐labels” by businesses, both as communication and positioning strategies, is increasing. For these eco‐labels to be effective, however, it requires consumers to understand and value what eco‐labels are communicating. Research suggests that there are many factors impeding consumers’ understanding of eco‐labels . Most of these studies have focused on single dimensions of a complex phenomenon and in doing so they have ignored the multifaceted aspects of the construct, suggesting that a more integrated representation is warranted. The work herein undertakes four studies to empirically test and validate a multidimensional measure that can be used to assess how consumers psychometrically understand and perceive eco‐labelling. The four‐study process involves qualitative interviews to extend the issues identified within the literature, followed by two studies using principal component analysis, confirmatory factor analysis and structural equation modelling analysis, each using separate samples, to test the reliability and validity of the proposed eight‐dimensional 27‐item ECOLSCALE. Another study is then undertaken to assess the nomological validity of the scale regarding to consumers’ environmental orientation. The ECOLSCALE developed in this work can be used to assist marketers, policy makers and researchers to evaluate the impact of eco‐labelling schemes on consumers’ understanding of eco‐labels, thereby enabling consumers to make more environmentally informed decisions.     

Data mining in road crash analysis: the context of developing countries

The recent advancements in the field of data mining have made vast progress in extracting new information and hidden patterns from large datasets which are often overlooked by the traditional statistical approaches. These methods focus on searching for new and interesting hypothesis which were previously unobserved. Road safety researchers working with the crash data from developed world have seen encouraging success in obtaining new insight into crash mechanism through data mining. An attempt was made in this study to apply these advance methods and evaluate their performance in manifesting crash causes for Bangladesh. The study applies hierarchical clustering to identify hazardous clusters, random forest to find important variables explaining each of these clusters, and classification and regression trees to unveil their respective crash mechanisms for the road crash data of Bangladesh. The results identified several new interesting relationships and acknowledged issues related to quality of data.     

Impact of funding sources on innovation: evidence from Brazilian software companies

This paper aims to investigate the impacts of different sources of innovation funding on company performances in the context of an emerging economy. Brazilian software companies are selected as a case for this investigation. Data – related to the types of funding support received and eight types of company performances measured in binary scales – was collected through an online survey from 188 companies located across Brazil. A multivariate probit model was estimated to assess the impacts of different funding schemes on company performances – controlling for other confounding effects. The findings confirmed the critical importance of public innovation funding, and revealed that companies that: (1) Used public funds were more likely to become nationally competitive; (2) Used loans from commercial banks were less likely to become nationally and internationally competitive; (3) Reinvested revenues were more likely to gain market share, and help in increasing the number of employees; (4) Not aware of public funding schemes were less likely to invest on research, development, and innovation. The overall findings suggest the positive impacts of innovation funds on company performance. They can serve as a policy guide to develop targeted performance strategy to determine which funding scheme would be effective to foster what outcomes.     

Evaluation of risk communication for rural water supply management: a case study of a coastal area of Bangladesh

Consumption of safe drinking water is an important public health issue. In this study, we considered the risk communication topic of human health concerns related to unsafe water consumption in rural coastal areas of Bangladesh, where potable water is scarce. Our objective was to investigate the level of knowledge that rural residents had concerning safe water consumption and to evaluate the effects of risk communication on knowledge and behavior changes. We considered four rural villages of southwest coastal areas of Bangladesh as sample. This study was based on the results of a questionnaire survey administered before and after risk communication. The pre- and post-survey were conducted during August 2009 and March 2010, respectively. Data were collected from 120 women aged 18–60 years. Two format presentations, with and without water quality information, were used to convey the risk messages. In the present study, indicator bacterial (Escherichia coli) contamination levels in drinking water sources were considered as water quality information since absence of E. coli is the safety margin for the detection of disease-causing organisms. Analysis of the survey data revealed that risk communication can be vital to changes in water consumption knowledge and behavior. Overall general knowledge scores were almost same in the pre-survey for without- (mean score 3.16) and with-information (mean score 3.10) villages. However, after risk communication, there were detectable increases in the mean scores (mean scores, 3.54 and 3.64, respectively, on a 4 point scale) for both groups. Furthermore, risk communication with water quality information appears to be a more effective method of risk communication. Dissemination of risk messages was also higher in with-information villages. Seventy four percent of the participants from with-information villages reported that they had discussed the risk messages with family members and neighbors, compared to 59% of those from without-information villages. The results of this study revealed that age, education, and distance of water sources influence changes in consumption and maintenance behavior. These findings suggest that, in addition to installation of water supply facilities, there is a need to address the low levels of knowledge about safe water consumption in rural coastal communities of Bangladesh. Location specific water quality information may be more useful to convey health risk messages concerning unsafe drinking water consumption.     

Maximum penalized quasi-likelihood estimation of the diffusion function

We develop a maximum penalized quasi-likelihood estimator for estimating in a non-parametric way the diffusion function of a diffusion process, as an alternative to more traditional kernel-based estimators. After developing a numerical scheme for computing the maximizer of the penalized maximum quasi-likelihood function, we study the asymptotic properties of our estimator by way of simulation. Under the assumption that overnight London Interbank Offered Rates (LIBOR), the USD/EUR, USD/GBP, JPY/USD, and EUR/USD nominal exchange rates, and the 1-month, 3-month Treasury bill yields, and 30-year Treasury bond yields are generated by diffusion processes, we use our numerical scheme to estimate the diffusion function.     

Did the regulatory changes of 1999 and 2001 affect income smoothing behavior of US banks?

This study examines the impact of the regulatory changes introduced by the Federal Financial Institutions Examination Council (FFIEC) in 1999 and by the Securities and Exchange Commission and FFIEC in 2001 on the income smoothing approaches and mechanisms employed by the United States (US) banking industry. We find that the relationship between previous quarter charge-offs and current quarter recoveries that was prevalent in the 1990’s to be insignificant for homogeneous loans but for heterogeneous loans the relationship became significant in the years following the regulatory changes. Recoveries are positively and significantly associated with the surprise net interest margin or return on assets which implies recoveries are primarily determined by the economic realities of the charged-off loans. The regulatory changes have strengthened the relationship between current quarter recoveries from heterogeneous loans and current quarter charge-offs but for homogeneous loans this relationship weakened insignificantly. The new regulations reduced the surprise gross loan charge-offs suggesting that the enforcement improved the accuracy of the provision as a predictor of next quarter’s gross loan charge-offs.