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The non-observed economy (NOE) is a pervasive phenomenon worldwide, especially in developing countries, but the size of the NOE and its contributions to the overall economy are usually unknown. This paper presents an estimation of the average size of the NOE for the 31 provincial regions in China between 1992 and 2013.

This study uses the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data combined with 11 existing surveys on or measurements of NOE for 191 countries or regions throughout the world, to measure the size of the NOE.

The results show that the NOE share is unevenly distributed among China's provincial regions, with the smallest being 3.19% for Beijing and the largest being 69.71% for Ningxia. The national average is 43.11%, while the figures for the eastern region, middle region, northeastern region and western region are 39.3%, 47.6%, 44.7% and 43.6%, respectively. The NOE estimates are negatively correlated with the measured gross domestic product (GDP) and GDP per capita, which suggests that developed regions tend to have less NOE.

The nighttime lights are used to measure the NOE for China's provincial regions. Compared with traditional databases, one of the prominent features of nighttime lights is its objectivity, as there is little human interference; therefore, it can be used to achieve more accurate results.

The purpose of this paper is to extend existing theories of b2b networks over non‐profit networks.

The paper sheds light on the network organisational forms recently implanted in the academic community. the analytic induction method is used to extend b2b network concepts to a non‐profit context. The concepts of b2b networks are critically analysed and applied to explorative case studies of networks in academia. The paradox of open knowledge exchange in these networks is revealed and an attempt is made to elucidate it.

B2b network concepts should be modified before being extended to non‐profits. Propositions are suggested to adapt b2b network concepts to explain non‐profit networks. Questions to address in further research are developed.

The main conclusions are only applicable to specific types of networks. Only academic networks are reviewed. The case study approach does not allow for generalizing the findings and deriving a set of concepts for non‐profit networks, and thus, calls for further research.

There may be space for achieving excellence in research by facilitating interpersonal rather than interorganisational research networks. This is important, since by facilitating interpersonal networks one can escape from organisational bureaucracy.

The study reports networking between the non‐profits, an issue largely neglected by marketing researchers, and contributes to its understanding in the frame of existing b2b network concepts.

Examines career management, development and performance as proposed in the career management research by Noe, which was defined for studying individual career management. Reviews the organizational career management program and the outcomes of organizational development and performance. Applies the Noe model to measure outcomes and determine if there is a direct relationship between career management programs, performance and development. The study involved three different organizations in the IT sector and HRPs as the respondents. A questionnaire was developed using Burack’s career management audit, and selected measures from various sources for development and performance. The results do not prove that the relationships exist. However, recommendations for future study involve performance as a precursor to career management and development. Recommendations for organizations include a review of career paths, development moves, retirement planning, and a research oriented human resources database.

Prior studies document that managers engaged in shifting of non-operating revenue to operating revenue (revenue shifting) and shifting of operating expenses to non-operating expenses (expense shifting (ES)) within income statement to report inflated operating profits of firms. This study aims to identify the factors affecting revenue shifting and ES.

The operating revenue model (Malikov et al., 2018) and the core earnings expectation model (McVay, 2006) are used for measuring revenue shifting and ES, respectively. The panel data regression models are used to analyze the data for this study.

The study results show that large and old firms are engaged in revenue shifting, whereas small and young firms prefer ES over revenue shifting for reporting inflated operating profits. These results imply that firms choose the shifting strategy based on relative advantage and ease in execution. The results are robust after controlling for accruals earnings management, real earnings management and endogeneity bias.

It suggests investors minutely investigate the operating performance metrics of initial public offering firms that are relatively small and young while buying their shares. Besides, findings suggest accounting standard setters make more mandatory disclosure requirements for recording expense and revenue items in the income statement to curb this corporate misfeasance of classification shifting.

This is among the earlier attempts to identify firm-specific factors that incentivize firms to prefer one form of shifting over another. Second, the study jointly examines both forms of shifting by taking a uniform sample of firms over the same period. Most of the prior studies have examined one form at a time.

The study aims at examining the relationship between the forms of misclassification practices, namely expense shifting and revenue shifting. In particular, the study aims at identifying the form of shifting that has been preferred by firms to meet the industry average profitability.

Core earnings and operating revenue expectation models are used to measure expense shifting and revenue shifting, respectively. The panel fixed-effects models are used to control for unobserved heterogeneity across industries and time.

Based on a sample of Bombay Stock Exchange-listed firms, the author finds that firms prefer expense shifting over revenue shifting to meet industry average profitability, implying that firms choose the shifting tool based on the relative advantage. Further, the findings deduced from the empirical results demonstrate that firm life cycle and mandatory adoption of International Financial Reporting Standards (IFRS) moderates the relationship between shifting forms and industry average profitability. However, the negative impact of IFRS on shifting practices is found to be less pronounced among BigN audit firms.

The study is among the pioneering attempt to document the substitution relationship between shifting forms. It is the first study that examines a form of classification shifting, where gross profit and core earnings both change as an effect of misclassification.

The purpose of this paper is to demonstrate empirically that corruption causes significant and sizeable macroeconomic costs to countries in terms of economic activity and economic growth. The authors modeled corruption building on the endogenous growth literature and finally estimated the baseline (bribes paid to public officials) macroeconomic cost of corruption using Argentina 2004-2015 as a case study.

The authors laid the foundations of a new methodology to account corruption losses using data from the national accounts and judiciary investigations within the framework of the Organisation for Economic Cooperation and Development (OECD) non-observed economy (NOE) instead of subjective indicators as in the earlier literature. They also suggested a new method to compute public expenditures overruns, including but not limited to public works.

The authors found the costs stand at a minimum accumulated rate of 8 per cent of gross domestic product (GDP) or 0.8 per cent yearly. These findings provided a corruption cost floor and were consistent with earlier research on world corruption losses estimated at 5 per cent by the World Economic Forum and with the losses estimated at between a yearly rate of 1.3 and 4 per cent and 2 per cent of GDP by Brazil and Peru’s corruption, respectively.

The authors would need to extend the application of their new suggested methodology to further countries. They are working on this. They would need to develop the methodology in full to compute the public works overruns input to future econometric work.

In this paper, the authors make a threefold contribution to the literature on corruption and growth: first, they laid the foundations toward a new methodology to make an accounting of the corruption costs in terms of GDP consistent with the national accounts and executed budgets; on the one hand, and the OECD NOE framework, on the other. The authors named those corruption costs as percentage of GDP the “corruption wedge.” Second, they developed an example taking corruption events and a component of their total costs, namely, the bribes paid to public officials, taking Argentina 2004-2015 as a case study. Finally, they plugged the estimated wedge back into an endogenous growth model and calibrated the growth–corruption path simulating two economies where the total factor productivity was different, at different levels of the corruption wedge.

Organizations have become increasingly interested in developing their human resources. One tool that has been explored in this quest is mentoring. This has led to a surge in mentoring research and an increase in the number of formal mentoring programs implemented in organizations. This review provides a survey of the empirical work on mentoring that is organized around the major questions that have been investigated. Then a conceptual model, focused on formal mentoring relationships, is developed to help understand the mentoring process. The model draws upon research from a diverse body of literature, including interpersonal relationships, career success, training and development, and informal mentoring. Finally, a discussion of critical next steps for research in the mentoring domain is presented.

This chapter sheds light on long-term trends in the level and structural dynamics of investments in Russian human capital formation from government, corporations, and households. It contributes to the literature discussing theoretical issues and empirical patterns of modernization, human development, as well as the transition from a centralized to a market economy. The empirical evidence is based on extensive utilization of the dataset introduced in Didenko, Földvári, and Van Leeuwen (2013). Our findings provide support for the view expressed in Gerschenkron (1962) that in late industrializers the government tended to substitute for the lack of capital and infrastructure by direct interventions. At least from the late nineteenth century the central government's and local authorities' budgets played the primary role. However, the role of nongovernment sources increased significantly since the mid-1950s, i.e., after the crucial breakthrough to an industrial society had been made. During the transition to a market economy in the 1990s and 2000s the level of government contributions decreased somewhat in education, and more significantly in research and development, but its share in overall financing expanded. In education corporate funds were largely replaced by those from households. In health care, Russia is characterized by an increasing share of out-of-pocket payments of households and slow development of organized forms of nonstate financing. These trends reinforce obstacles to Russia's future transition, as regards institutional change toward a more significant and sound role of the corporate sector in such branches as R&D, health care, and, to a lesser extent, education.

The study aims to investigates which form of classification shifting is preferred by firms to avoid the violation of debt covenants and whether the higher-audit quality constraints the shifting practices of firms incentivized to avoid covenant violations or not.

A sample of 1,644 Bombay Stock Exchange (BSE)-listed firms during the period 2009–2021 has been used in this study and tested through panel data regression models. Two forms of classification shifting, namely expense shifting and revenue shifting have been taken into account. The findings are validated through the propensity-score matching technique.

The findings deduced from the empirical evidence demonstrate that firms prefer revenue shifting over expense shifting to avoid covenant violations, consistent with the notion of the ease-need-advantage-based shifting framework, where firms are found to prefer a shifting tool with greater relative advantage. Further, the author finds that superior audit quality has a constraining effect on expense shifting, but not on revenue shifting, indicating the partial effectiveness of high-quality auditors in curbing the corporate misfeasance of classification shifting. These results are robust to the problem of endogeneity and self-selection bias.

The paper provides new evidence on debt market incentives behind classification shifting, where firms are found to substitute classification shifting forms to avoid covenant violations. Further, the study is among pioneering attempts to investigate the impact of audit quality on revenue shifting and document the non-constraining effect.