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The results of this study indicate that a likely reason why a negative relation between estimated implicit taxes and pretax returns is empirically observed is the researcher’s election to choose a zero tax rate as the benchmark state and local tax rate. Normally, an observed negative relation between estimated implicit taxes and pretax returns supports the hypothesis generated by implicit tax theory. This conclusion regarding the implicit tax hypothesis may be premature whenever the incidence of state and local income taxes contributes to this empirical finding. First, state income taxes, treated as a negative subsidy when the benchmark state and local tax rate is set at zero, will likely cause implicit taxes to be underestimated. Second, the observed relationship between estimated implicit taxes and pretax returns appears to be reversible depending upon the researcher’s election of a statutory tax rate that incorporates the selected benchmark state and local tax rate.

The present study uses a sample of 848 firms covering the years from 1989 through 1998 to show how the relation between estimated implicit taxes and pretax returns can be manipulated by the selection of the benchmark state and local tax rate. Since choosing an accurate benchmark state and local tax rate can be problematic, the present study suggests adjusting both estimated implicit taxes and pretax income by the amount of state and local income taxes incurred. The results, using the regression model making this adjustment, appear to nullify the negative bias of a zero tax rate as the benchmark state and local tax rate.

The purpose of this chapter is to develop criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, determine the corresponding indicators, and offer the method of evaluation of the effectiveness of state management of the process of implementing the information economy’s optimization model.

This research applies the methods of induction, deduction, structural and functional analysis, and graphical presentation of information.

Based on the peculiarities of the information economy’s optimization model, three main criteria of the effectiveness of state management while implementing this model are distinguished: flexibility of the normative and legal provision of information economy; balance of the level and rate of development of the noosphere components; and success of the protection, usage, and preservation of information’s uniqueness. To distinguish these criteria it is offered to evaluate the effectiveness of state management of the process of implementation of the information economy’s optimization model by progressive comparison of the sum of results with the sum of limitations and costs for each direction of state management of the process of implementation of the information economy’s optimization model, related to the provision of observation of the above criteria. The author determines the indicators that conform to the offered criteria of effectiveness of state management of the process of implementation of the information economy’s optimization model systematized in connection to these criteria, and offers the formula for calculating the final indicator of the effectiveness of state management of the process of implementation of the information economy’s optimization model.

The offered criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, the corresponding indicators, and the compiled methodology of evaluating the effectiveness of this process are recommended for usage as methodological provision of monitoring and control of implementation of the information economy’s optimization model.

Limited by the types of sensors, the state information available for musculoskeletal robots with highly redundant, nonlinear muscles is often incomplete, which makes the control face a bottleneck problem. The aim of this paper is to design a method to improve the motion performance of musculoskeletal robots in partially observable scenarios, and to leverage the ontology knowledge to enhance the algorithm’s adaptability to musculoskeletal robots that have undergone changes.

A memory and attention-based reinforcement learning method is proposed for musculoskeletal robots with prior knowledge of muscle synergies. First, to deal with partially observed states available to musculoskeletal robots, a memory and attention-based network architecture is proposed for inferring more sufficient and intrinsic states. Second, inspired by muscle synergy hypothesis in neuroscience, prior knowledge of a musculoskeletal robot’s muscle synergies is embedded in network structure and reward shaping.

Based on systematic validation, it is found that the proposed method demonstrates superiority over the traditional twin delayed deep deterministic policy gradients (TD3) algorithm. A musculoskeletal robot with highly redundant, nonlinear muscles is adopted to implement goal-directed tasks. In the case of 21-dimensional states, the learning efficiency and accuracy are significantly improved compared with the traditional TD3 algorithm; in the case of 13-dimensional states without velocities and information from the end effector, the traditional TD3 is unable to complete the reaching tasks, while the proposed method breaks through this bottleneck problem.

In this paper, a novel memory and attention-based reinforcement learning method with prior knowledge of muscle synergies is proposed for musculoskeletal robots to deal with partially observable scenarios. Compared with the existing methods, the proposed method effectively improves the performance. Furthermore, this paper promotes the fusion of neuroscience and robotics.

The COVID-19 pandemic has posed many challenges in almost all sectors around the globe. Because of the pandemic, government entities responsible for managing health-care resources face challenges in managing and distributing their limited and valuable health resources. In addition, severe outbreaks may occur in a small or large geographical area. Therefore, county-level preparation is crucial for officials and organizations who manage such disease outbreaks. However, most COVID-19-related research projects have focused on either state- or country-level. Only a few studies have considered county-level preparations, such as identifying high-risk counties of a particular state to fight against the COVID-19 pandemic. Therefore, the purpose of this research is to prioritize counties in a state based on their COVID-19-related risks to manage the COVID outbreak effectively.

In this research, the authors use a systematic hybrid approach that uses a clustering technique to group counties that share similar COVID conditions and use a multi-criteria decision-making approach – the analytic hierarchy process – to rank clusters with respect to the severity of the pandemic. The clustering was performed using two methods, k-means and fuzzy c-means, but only one of them was used at a time during the experiment.

The results of this study indicate that the proposed approach can effectively identify and rank the most vulnerable counties in a particular state. Hence, state health resources managing entities can identify counties in desperate need of more attention before they allocate their resources and better prepare those counties before another surge.

To the best of the authors’ knowledge, this study is the first to use both an unsupervised learning approach and the analytic hierarchy process to identify and rank state counties in accordance with the severity of COVID-19.

This paper investigates the effect of state-society relations on the industrially-related growth paths of developed countries.

It introduces a novel theoretical framework, the state-business-labor relations (SBLR) framework, where four main actors are identified: the state, big businesspersons or tycoons, owners and managers of small and medium enterprises (SMEs) or Entrepreneurs and labor. Different SBLR categories or modes are introduced depending on levels of coordination and power relations between the studied actors. The paper then investigates how these SBLR modes, through adopting various policies targeting the industrial sector, lead to different growth paths. Rather than focusing only on economic growth, this research regards a growth path as a matrix of the performance in long-run growth and equality of distribution.

Using regression analysis and statistical data, the results suggest that the Co-Balanced mode, having higher levels of coordination and lower favoritism, leads to the best growth path among the four introduced modes, especially with its emphasis on high levels of venture capital availability and easiness of starting business. while the Lib-Capture mode, characterized by lower coordination and higher favoritism, seems to have the worst growth path and the best implemented policy for this mode is suggested to be high profit taxes that seem to counter the negative impact of the existing high levels of favoritism.

Despite the important findings that this research has reached, this paper is mainly meant to open a further investigation into this topic and open this dimension that the research on VoC and political economy have under-researched. A deeper investigation of SBLR typologies that could only be possible by having richer datasets with more data on coordination for the whole world, rather than only the advanced economies, would further our understanding of the dynamics that shape the growth paths of different countries of the world.

To realize the best industrial growth path, fighting favoritism should be an important objective. The negative impact of favoritism on innovation could not be disregarded in the eve of the fourth industrial revolution, where innovation is increasingly pivotal to future industrial development. Actively engaging societal groups in the policymaking process is important in addressing their concerns and balancing them at the same time. This should lead to the double benefit of formulating better policies that should foster growth as well as provide better distribution of this growth. High levels of coordination should help in realizing this objective. Yet, this could only be possible if societal groups are free to associate and aggregate their power and when there are means of preventing one actor from gaining more favorite treatment and exclusive influence over policymakers. The presence of both powerful and broadly represented business associations and labor unions and the existence of a government interested in coordinating their efforts-rather than letting itself be controlled by one group at the expense of the others-should help in the realization of the best growth path. Thus, institutional reform that empowers societal groups and enables them to defend their interests as well as fights all forms of corruption should lead to the realization of a more prosperous and equitable industrial development, with the “re-industrialization” of the developed world being no exception. The technological and social challenges of intensive automation and digitalization accompanying the fourth industrial revolution make the envisaged institutional reform more urgent.

This paper is introducing a novel theoretical framework for studying the effect of state-society relations, particularly SBLR, on the industrial growth paths of developed countries. It integrates three important bodies of literature in order to build a more comprehensive understanding of the dynamics of state-society relations and their economic consequences. These are the Varieties of Capitalism (VoC), State-Business Relations (SBR) and Industrial Relations. The SBLR framework differentiates between tycoons and entrepreneurs, an important distinction that often goes unnoticed. Different SBLR categories or modes are introduced, depending on levels of coordination and power relations between the actors. It is proposed in this research that the effect on growth paths goes beyond the simple dichotomy between CMEs and LMEs usually present in the literature of VoC and that power relations provide an essential complementary dimension in explaining this causality.

The paper aims to understand how state and non-state domestic terrorism impacts MNEs in foreign markets. Despite the burgeoning literature on terrorism within international business (IB), most research has focused on international terrorism, or terrorism generally. Consequently, there has been limited research examining how domestic or local based terrorism impacts foreign firms.

This is a conceptual paper.

Domestic terrorism is the most common form of terrorism in the world today and involves the state and non-state actors. Non-state domestic terrorism can be low intensity or high intensity. High intensity non-state-domestic terrorism typically involves regular and protracted political violence, along with inter-communal violence. This can expose MNEs to considerable operational, governance and legitimacy pressures.

The paper contributes to the gap in IB terrorism research with regards domestic or local based terrorism. Drawing on IB theory and critical terrorism research, the paper addresses the nature and impact of domestic terrorism within IB. The authors’ paper shows the operational, governance and legitimacy pressures of both state and non-state domestic terrorism for MNEs in host markets. While most IB scholars consider the threat of non-state terrorism for international firms, this study shows how domestic state terrorism benefits and constrains foreign firms.

The level of deterioration of educational facilities, such as leaking classroom roofs, inadequate good seats, obsolete offices, broken shutters and doors, outdated school buildings, power plants and office equipment like ICT media, laboratories, offices and workshops, despite the involvement of Alumni association in the maintenance of educational facilities for the effective actualization of school objectives was a worrisome nightmare in Kogi state. This, therefore, prompted the researchers to explore the Alumni’s participation in plant maintenance for effective implementation of the universal basic education (UBE) programme in public junior secondary schools in Kogi state. The purpose of this study was guided by the research question which stated that to what extent does the Alumni Association participate in plant maintenance for effective implementation of the UBE programme in public junior secondary schools in Kogi state?

A quantitative research approach using a descriptive survey was adopted for the study. The sample was drawn using a proportionate stratified sampling technique comprising 387 participants which consisted of 191 (49%) urban junior secondary school principals and 196 (51%) rural principals in selected UBE junior secondary schools. Alumni’s Participation in Plant Maintenance Questionnaire was used as an instrument for data collection. The data were analysed with the aid of mean and standard deviation for the research question and z-test statistics at 0.05 level of significance and the value of z-crit. of 1.96 was used to determine the rejection or otherwise of the hypotheses.

The descriptive analysis revealed that the average mean set of 2.64 pointed to the fact that the respondents averagely agreed that there was a high extent to which Alumni participate in plant maintenance in urban than rural areas for effective implementation of the UBE programme in public junior secondary schools in Kogi state. This indicates that Alumni contribute to the management of UBE schools in Kogi state, especially in the areas of funding, infrastructural facilities, discipline, politics and quality control. This finding also shows that the contributions of the alumni to educational institutions are still unclear if they have made contributions to education in some areas and none in other areas making their relevance to plant maintenance unclear.

In terms of practical implications, the study has contributed to knowledge in that it is the first of this form of a study carried out in Kogi state, and as such the findings of the research will make contributions to the physique of information on plant maintenance for the profitable implementation of the UBE programme in Kogi state. Besides, the degree of plant preservation for the implementation of the UBE programme among applicable stakeholders in Kogi state is nevertheless at a low extent.

Researchers have conducted studies that show how non-state Alumni members contribute to the administration of education across different states. Some of these studies revealed that Alumni members have assisted schools in the provision of teaching and learning materials at the senior secondary or tertiary education level. There are no sufficient studies to show how these Alumni members have contributed to the implementation of the free education programme, especially in public junior secondary schools in Kogi state and this is the gap this study intends to fill.

This study explores a hegemonic alliance and the role of relational forms of accounting and accountablity in the making of contemporary capitalism.

We use the WikiLeaks “Cablegate” documents to provide an account of the detailed machinations between interest groups (corporations and the state) that are constitutive of hegemonic activity.

Our analysis of the “Cablegate” documents shows that the US and Chevron were crafting a central role for Turkmenistan and its president on the global political stage as early as 2007, despite offical reporting beginning only in 2009. The documents exemplify how “accountability gaps” occlude the understanding of interdependence between capital and the state.

The study contributes to a growing idea that official accounts offer a fictionalized narrative of corporations as existing independently, and thus expands the boundaries associated with studying multinational corporate activities to include their interdependencies with the modern state.

The study traces how global capitalism extends into new territories through diplomatic channels, as a strategic initiative between powerful state and capital interests, arguing that the outcome is the empowerment of authoritarian states at the cost of democracy.

The study argues that previous accounting and accountability research has overlooked the larger picture of how capital and the state work together to secure a mutual hegemonic interest. We advocate for a more complete account of these activities that circumvents official, often restricted, views of global capitalism.

This study examines the impact of China’s mixed-ownership reform on the innovation of non-state-owned acquirers, with a particular focus on the impact on firms with high financing constraints, low-quality accounting information or less tangible assets.

We use a proprietary dataset of firms listed on the Shanghai and Shenzhen Stock Exchanges to investigate the impact of mixed ownership reform on non-state-owned enterprise (non-SOE) innovation. We employ regression analysis to examine the association between mixed ownership reform and firm innovation.

The study finds that non-state-owned firms can improve innovation by acquiring equity in state-owned enterprises (SOEs) under the reform. Eased financing constraints, lowered financing costs, better access to tax incentives or government subsidies, lowered agency costs, better accounting information quality and more credit loans are underlying the impact. Additionally, cross-ownership connections amongst non-SOE executives and government intervention strengthen the impact, whilst regional marketisation weakens it.

This study adds to the literature on the association between mixed ownership reform and firm innovation by focussing on the conditions under which this impact is stronger. It also sheds light on the policy implications for SOE reforms in emerging economies.

This study examines the effect of female governors (gender effect) on environmental performance in terms of state-level carbon dioxide (CO2) emissions in United States.

The study used annual data from 1970 to 2020 to investigate the relationship between female political leadership and state-level CO2 emissions. Hypothesis was tested through ordinary least squares regression (OLS). The results of the study were also validated using propensity score matching and a difference-in-difference approach.

This study provides empirical insights into the relationship between female political leadership and state-level CO2 emissions. The findings indicate that female governors have a significant negative impact on state-level CO2 emissions per capita. These results suggest that female political leadership is associated with a reduction in CO2 emissions per capita at the state level. The results also show that states under the leadership of female governors experience lower levels of CO2 emissions than those with male governors, indicating female leadership’s potential to promote environmental sustainability.

The findings of this study have practical implications for policymakers, government officials, and other stakeholders involved in the formulation of strategies to promote environmental sustainability. This study highlights the significant role that female political leader play in mitigating CO2 emissions at the state level. It suggests that promoting female in political leadership positions can lead to more environmentally conscious policy decisions and actions, resulting in reduced CO2 emissions per capita. Policymakers should actively encourage women’s participation in leadership roles to utilize their potential contributions to advancing sustainability goals. Furthermore, organizations that focus on environmental issues should prioritize supporting and promoting female leaders who have demonstrated a commitment to environmental sustainability. Ultimately, this study highlights the need for female in political leadership as a potential strategy to address environmental challenges and advance a more sustainable future.

This study pioneers research on the links between female political leadership and state-level CO2 emissions. This study contributes to the literature by emphasizing the potential role of female political leaders in promoting environmental sustainability. Overall, this study enriches the social role and upper echelons theories literature through empirical evidence.