Search results

The purpose of this paper is to investigate the relationship between corporate board co-option and employee welfare practices.

The authors employ several analysis techniques including univariate analysis, OLS regressions, Poisson regressions, and propensity score matching methodology. The sample consists of US public firms for the period of 1996–2017. The variables of interest are the employee welfare index (EWI) proposed by Ghaly et al. (2015) and the co-option ratio proposed by Coles et al. (2014).

The authors find that firms with a higher fraction of co-opted directors on their boards are less committed to the firms' employee well-being. The empirical results support the argument that the interests of co-opted directors are more closely aligned with the interests of the CEO who had an influence on selecting them to the board, which compromises their monitoring role.

This paper contributes in several ways to the literature on corporate governance and corporate social responsibility (CSR) by linking board co-option to employee welfare. By focusing on board co-option to explain the degree of firms' involvement in employee welfare, which is one of the crucial components of CSR performance, the authors provide pinpointed and detailed findings on a timely issue of CSR.

The purpose of this study is to investigate the voluntary disclosure of accounting ratios in the corporate annual reports of manufacturing firms in the Gulf Cooperation Council (GCC) and determines whether an association exists between voluntary disclosure and firm-specific characteristics namely, size, profitability, leverage, liquidity and efficiency.

A sample of 53 GCC listed manufacturing firms and 263 firm-year observations were observed over the period 2011 to 2015. A count data regression (Poisson) with incident rate ratios was used to identify the relationship between firms’ voluntary disclosures of accounting ratios and other firm-specific characteristics.

During the period under review, the voluntary disclosure of accounting ratios provided in annual reports of GCC firms were found to be exceedingly low. On average, a GCC company discloses at most two accounting ratios in its annual reports. The results also show that the profitability ratios are the most popularly reported ones. Controlling for family board domination, the results also reveal that structure-related variables (firm size and leverage) are positively associated with accounting ratio disclosures. However, performance-related variables (profitability, liquidity and efficiency) have no significant effect on disclosures. The authors conclude that signaling theory as implied in the performance-related variables is not strongly supported in the GCC region.

This is the first known study to investigate the disclosure of accounting ratios and its determinants within the context of GCC. The findings of this study could be beneficial to both agents and principals in assessing the associated risks. The study provides regulators and market participants an understanding of the corporate reporting activities of manufacturing firms in the GCC and who accordingly will be able to consider associated policy implementation.

The purpose of this paper is to study, inequalities between general physicians’ and specialists’ visits in Shiraz. Also, the factors effecting the utilization of visits were determined.

Concentration index and curves, ranked by income and quality of life were used to estimate the amount of inequality in the utilization of services. Health utilization data which had been gathered already were used for this purpose. Poisson regression was used to construct the models.

Results of the study showed that, inequalities in specialists’ visits were higher than GPs’. Complementary insurances users and females used more specialist services. People with higher quality of life utilized fewer GPs’ and specialists’ services.

New evidences about inequality in health services utilization and its components in Iran was surveyed.

The purpose of this paper is to examine the relationship between voluntary and involuntary turnover and officers’ salaries.

Using data from the 2013 Law Enforcement Management and Administrative Statistics survey, Poisson regression was used to test hypotheses about the effect of pay and other economic incentives on turnover, while controlling for previously identified influential organizational and community factors, such as crime, community disorganization, geographic region, policing philosophy, collective bargaining, the utilization of body-worn cameras, and workforce diversity.

Higher salaries were significantly associated with lower voluntary and involuntary turnover rates. In addition, other economic incentives and participation in a defined benefits retirement plan were related to voluntary separations but not dismissals. Consistent with prior research, southern agencies and sheriff’s departments reported higher turnover rates than local police agencies and departments operating in other areas of the USA. The effects of workforce diversity were mixed, while collective bargaining was associated with lower rates of voluntary turnover, and the utilization of body-worn cameras was associated with higher rates.

In addition to contributing to the theoretical literature on antecedents of turnover, this research has practical implications by helping law enforcement officials estimate how changes in the compensation structure affect their ability to retain qualified personnel. Due to the complexities of modern law enforcement, maintaining a strong and stable workforce is becoming a greater challenge, and more research is needed to understand which incentives are crucial in recruiting and retaining the most effective policing personnel.

Triple helix theory stresses co‐evolution and interaction among governments, enterprises and universities, and is paid great attention by governments, universities and enterprises worldwide. The purpose of this paper is to investigate the role that Chinese government R&D investments play in the interaction between enterprises and universities.

Basing on provincial panel data of Chinese universities from 2004‐2010, the impact of government R&D investments on patent technology transfer activities of Chinese universities is studied by empirical analysis. More specifically, the paper examines the impact of both Chinese government R&D funding and national R&D programs on the number and the revenue of patent technology transfer contracts.

The study finds that the amount of government R&D funding and the number of 973 Programs in one region have significantly increased the number and the revenue of patent technology transfer contracts in that region. Moreover, the number of National S&T Pillar Programs, 863 Program and National Natural Science Foundation Program are also determinants of the number of patent technology transfer contracts.

This paper studies government's role in university‐enterprise patent technology transfer activities in a Chinese context. It reveals a government‐dominant position to promote patent technology transfer activities in Chinese triple helix model. It also provides a reference for decision makers in governments, industries and universities.

This paper aims to estimate the determinants of the intensity of use of financial inclusion by households in Ghana.

Due to the reality of a household using one or more financial products or services, this study uses the generalised Poisson model applied to GLSS6 and GLSS7 data collected in 2012/2013 and 2016/2017 respectively, to estimate the determinants of the intensity of use of financial inclusion. To deepen the analysis, a multinomial probit model is also applied.

Results show that infrastructural variables such as roads, public transport and banks stimulate the intensity of financial inclusion. In addition, agricultural development characteristics such as markets and cooperatives are essential for the intensity of inclusion.

There is a need to incorporate how many services or depth of services that people use as part of the conceptualisation of financial inclusion, as this can provide more policy-relevant evidence to enhance priority setting in financial inclusion policies. Also, micro-level financial inclusion studies in agrarian economies should consider exploring agricultural development and infrastructure variables in the modelling framework. As lead to further studies, count models of financial inclusion should consider exploring cross-country analysis, the use of panel data, or other methodological approaches to provide more robust evidence.

Previous studies have not modelled financial inclusion based on a count model as a means of measuring intensity though conceptualisations highlight the fact that people use varied financial products or services. Following from this angle, to the best of the authors’ knowledge, this study provides the first attempt at analysing the underlying determinants of the number of financial products or services used by households.

This study aims to investigate how the language used in US Title II equity crowdfunding campaign descriptions relates to campaign success.

Data on >3,200 equity offerings from 12 Title II platforms was obtained from 2013 to 2016. The aspects of the campaign descriptions that are focused on are tone and two measures of readability: information quantity – the amount of information available to the investor and information quality – the ease of understanding of the passage of text. Tobit regressions with sector-clustered standard errors are used for estimation while controlling for company-specific variables, market sentiment and platform, regional, sector and time effects. Results are robust to alternative estimation approaches.

Inverse U-shaped relationships exist between information quantity, information quality and tone and Title II equity crowdfunding campaign success. Overall, less is more as it appears that an intermediate level of information – quantity, quality and tone – is optimal in terms of being a factor that contributes to equity crowdfunding campaign success.

Extends the use of textual analysis to the equity crowdfunding environment in the USA where such analysis is lacking and provides empirical evidence that the language used (e.g. sentiment) in US Title II equity-based crowdfunding campaign descriptions does influence campaign success. It provides empirical evidence of and extends the concept of information overload to the entrepreneurial finance sub-field and indicates tone may be an additional information attribute to consider in this context as contributing to overload.

The purpose of this paper is to analyse Facebook brand posts along dimensions of vividness, interactivity, novelty, brand consistency and content type and tests how these characteristics influence audience response in terms of liking and sharing brand posts.

The sample comprised 191 brand posts sourced from the Facebook brand pages of five top selling automotive brands in the UK. Audience response was operationalised using brand post likes and brand post shares, while brand post characteristics were operationalised according to relevant theory. Poisson regression models were tested to measure the effect of brand post characteristics on audience response.

The findings indicate that brand post vividness has a significant positive effect on brand post shares, but not on brand post likes. Brand post interactivity has a significant negative effect on both brand post likes and brand post shares. Brand post novelty and brand post consistency have a significant positive effect on both brand post likes and brand post shares. Finally, brand post content type has a significant positive effect on brand post likes, but not brand post shares.

The findings underscore the need for marketers to develop a systematic content strategy for Facebook brand pages. With this in mind, the study proposes several evidence based suggestions.

This study contributes to the literature first by synthesising and testing brand post characteristics that were overlooked in prior research and second by developing theoretically consistent operationalisation for already familiar brand post characteristics. These enhancements resulted in a final model with a superior explanatory power.

This study aims to provide empirical evidence on two research questions: firstly, whether green finance is positively related to electricity access, and, secondly, if the domestic economic environment moderates the relationship between green finance and electricity access? This paper pays particular attention to the regional disparities in Africa.

While pursuing the study objectives, the authors apply a variety of statistical approaches and tools to assess the robustness of the findings. The authors use panel dataset for analysing data. In order to empirically examine the relationship between green finance and electricity access in the African region, the paper employs static and dynamic panel estimation methods, Poisson method and adopts two-step system generalized method of moments (GMM) approach for dealing with issues relating to endogeneity. The authors also use alternate proxy for the electricity access, which is drawn from the regulatory indicators for sustainable energy (RISE) scores.

The authors find that despite the fact that green funding appears to support job creation, household incomes aren't high enough to drive rising demand for electricity. The study underscores the role and responsibilities of external funding agencies to ensure that funds at the receiving end are effectively routed to encourage access to clean and sustainable energy, which is good to the economic and domestic environment. Further, due to the relatively modest size of some funds, the cost to administer those funds is larger than the funds themselves. This causes inefficiencies, which may temporarily provide jobs but not lasting growth. This means there is no regular need for energy, therefore larger investors have no reason to enter the market. This discourages investors from public-private partnerships or private investments and prevents future investment.

The provide insights into the private-public partnerships and whether the challenges to electricity access are being turned into investment opportunities. The effects of the power Africa project initiatives are revealing, with, sanitation being an impediment to the development of electricity infrastructure, specifically in low-income group countries.

The study confirms the view that trivial amounts of green financing (US-Aid or grants) impose a burden on the absorptive capacity of the recipient government and increases the transaction costs and is likely to be an impediment (Kimura et al., 2012) to initiating projects that enhance electricity access.

The results indicate that although green financing seems to be supporting employment opportunities, income levels are insufficient to create demand for electricity usage. It, therefore, becomes imperative that sanitation (SDG 6) is fully addressed in order to ensure that SDG 7 is attained.

The authors provide insights around the private public partnerships and whether the challenges to electricity access are being turned into investment opportunities. The effects of the power Africa project initiatives are revealing, with, sanitation being an impediment to the development of electricity infrastructure, specifically in low-income group countries.

This study evaluates the impact of government social protection interventions on households’ welfare in South Africa.

The study uses survey data comprising 393 observations and the multinomial logistic regression technique to analyse the effect of government interventions on households’ welfare. For robustness purposes, a negative binomial regression model is also estimated whose results corroborate the main results from the multinomial regression model.

The study’s findings show that government economic interventions through social protection significantly reduce the likelihood of a decrease in household income or consumption. COVID-19 grant/social relief of distress grant, unemployment insurance, tax relief and job protection and creation are all significant in sustaining household income and consumption.

The findings have policy implications for social development. Specifically, the findings support the use of government social protection as a safety net for low-income groups in South Africa.

The study presents preliminary evidence on the effectiveness of several measures used to ameliorate the COVID-19-induced recession within the South African context.