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It is important to consider economic and political factors when designing the tax mix and setting the level of corporate taxation. Increasing corporate taxation can be seen as an inefficient way to raise revenue for the state, as it can have a negative impact on investment and the competitiveness of firms. However, lowering corporate taxation can encourage investment and job creation, but it can also be perceived as supporting large corporations. The aim of this chapter is to evaluate corporate taxation, its position in the tax mix and its potential impact on economic growth. The revenues of corporate income tax (CIT) have an increasing tendency even though the tax rate was reduced from 41% to 19%. Revenues are influenced by both legislative changes and economic cycles. The level of taxation is also influenced by deductions, which include asset depreciations, research and development expenses, or loss deductions. The Pearson Correlation Coefficient was used to examine the correlation between the selected factors. A moderately strong positive correlation was found between GDP growth and CIT as a percentage of total taxes, as well as between GDP growth and CIT as a percentage of GDP.

This paper aims to fill gap in the literature and explore policy options for resolving the problems of accountability by framing three research questions. The research questions are (i) whether certain elements of Scott’s (2014) institutional pillars attenuate (accentuate) corporate and public accountability; (ii) whether the presence of ruling party-affiliated enterprises (RPAEs) create an increase (decrease) in the degree of corporate (public) accountability; and (iii) whether there is a particular form of ownership change that transforms RPAEs into public investment companies.

Using a qualitative research methodology that involves term frequency and thematic analysis of publicly available textual information, the paper examines Mechkova et al.’s (2019 forms of government accountability. The paper analyzes the gaps between the de jure and de facto accountability using the institutional pillars framework.

The findings of the paper are three. First, there are gaps between de jure and de facto in all three (vertical, horizontal and diagonal) forms of government (public) accountability. Second, the study finds that more than three fourth of the parties that contested the June 2021 election did have regional focus. They did not advocate for accountability. Third, Ethiopia’s RPAEs are unique. They have regional focus and are characterized by severe forms of agency and information asymmetry problems.

The main limitation of the paper is its exploratory nature. Extending this research by using cross-country data could provide a more complete picture of the link between corporate (public) accountability and a country’s institutional pillars.

Academic research documents that instilling modern corporate (public) governance standards in the Sub Sahara Africa (SSA) region has shown mixed results. The analysis made in this paper is likely to inform researchers and policymakers about the type of change that leads to better corporate (and public) accountability outcomes.

The institutional change proposed in the paper is likely to advance the public interest by mitigating agency and information asymmetry problems and enhancing government accountability. The changes make the enterprises investable, save scarce jobs, enhance diversity and put the assets in RPAEs to better use.

To the best of the authors’ knowledge, this is the first paper that uses the institutional pillars analytical framework to examine an SSA country's corporate (public) accountability problem. It demonstrates that accountability is a domestic and a (novel) traveling theory. The paper identifies the complexity of resolving the interlock between political institutions and business enterprises. It theorizes that it is impossible to instill modern corporate (public) accountability standards without changing regulatory, normative and cultural cognitive pillars of institutions. The paper contributes to the change management and public interest literature.

This study aims to analyze and compare the relationship between international trade in global value chains (GVC) and greenhouse gas (GHG) emissions for Brazil and China from 2000 to 2016.

The input-output method apply to multiregional tables from Eora-26 to decompose the GHG emissions of the Brazilian and Chinese productive structure.

The data reveals that Chinese production and consumption emissions are associated with power generation and energy-intensive industries, a significant concern among national and international policymakers. For Brazil, the largest territorial emissions captured by the metrics come from services and traditional industry, which reveals room for improving energy efficiency. The analysis sought to emphasize how the productive structure and dynamics of international trade have repercussions on the environmental dimension, to promote arguments that guide the execution of a more sustainable, productive and commercial development strategy and offer inputs to advance discussions on the attribution of climate responsibility.

The metrics did not capture emissions related to land use and deforestation, which are representative of Brazilian emissions.

Comparative analysis of emissions embodied in traditional sectoral trade flows and GVC, on backward and forward sides, for developing countries with the main economic regions of the world.

This study aims to explore how subsidiary capabilities collectively configure for performance. Additionally, it seeks to examine whether these configurations of capabilities can provide equifinal solutions through developing a comprehensive research framework that focuses on subsidiaries in China.

With a data set collected through a questionnaire from 172 Korean multinational enterprises (MNEs) in China, this study used a fuzzy-set qualitative comparative analysis to detect the capability conditions and configurations. These configurations represent combinations of various subsidiary capabilities linked to high performance.

This study identified several complex pathways with distinct configurations for high subsidiary performance. The findings demonstrate the importance of configurations over individual conditions. Thus, the results highlight that the effectiveness of diverse capabilities, which are widely believed to singularly contribute to the high performance of MNE subsidiaries, depends on how each combines with other capabilities. Overall, the findings provide a richer and fine-grained understanding of the role and relative importance of various forms of MNE subsidiary capabilities and how the joint effect of these subsidiaries contributes to high performance.

This study suggests that MNE managers should comprehensively understand how subsidiary capabilities are configured to produce subsidiary performance outcomes. This specifically illustrates the importance of understanding the mutually conflicting yet collectively exhaustive results of multi-selective solutions and aims to align with China’s industrial and regional heterogeneity.

By examining the role of MNE subsidiary capability configurations, which may collectively influence the subsidiary’s performance, this study contributes to the literature. It elucidates how MNE subsidiaries may achieve superior performance by developing and possessing various capabilities tailored to the local context.

This paper aims to explore the impact of domestic market fragmentation on the innovation performance of enterprises and its mechanism from the perspective of market segmentation, a government behavior with Chinese characteristics.

In order to verify the theoretical hypothesis proposed in the previous article, that is, whether domestic market fragmentation can effectively improve the innovation performance of enterprises, this paper bases on the data of listed companies from 2010 to 2016, empirically testing the theoretical hypothesis by constructing a measurement model.

Domestic market fragmentation has a significant inhibitory effect on enterprise innovation performance. Domestic market fragmentation has heterogeneous effects on innovation performance of enterprises and regions. It is undeniable that domestic market fragmentation does have a certain support effect on state-owned enterprises but the support effect is achieved by distorting regional resource allocation and creating an unfair market environment.

Firstly, this paper explores the impact mechanism of domestic market fragmentation on corporate innovation performance from the perspective of market segmentation, a government behavior with Chinese characteristics, so as to expand and enrich the relevant research on enterprise innovation. Secondly, from the perspective of corporate innovation performance, this paper provides new evidence for the “curse effect” of domestic market fragmentation. Thirdly, this paper tries to shake the domestic market fragmentation support theory from the perspective of distortion effect brought by the “hand of support” of domestic market fragmentation.

Classical unit root tests are known to suffer from potentially crippling size distortions, and a range of procedures have been proposed to attenuate this problem, including the use of bootstrap procedures. It is also known that the estimating equation’s functional form can affect the outcome of the test, and various model selection procedures have been proposed to overcome this limitation. In this chapter, the authors adopt a model averaging procedure to deal with model uncertainty at the testing stage. In addition, the authors leverage an automatic model-free dependent bootstrap procedure where the null is imposed by simple differencing (the block length is automatically determined using recent developments for bootstrapping dependent processes). Monte Carlo simulations indicate that this approach exhibits the lowest size distortions among its peers in settings that confound existing approaches, while it has superior power relative to those peers whose size distortions do not preclude their general use. The proposed approach is fully automatic, and there are no nuisance parameters that have to be set by the user, which ought to appeal to practitioners.

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of developed and developing countries over 1995–2010. A distinctive feature of the empirical strategy followed is that it allows the measurement of the resource reallocation directly attributable to infrastructure provision. To achieve this, a two-level top-down decomposition of aggregate productivity that combines and extends several strands of the literature is proposed. The empirical application reveals significant production losses attributable to misallocation of inputs across firms, especially among African countries. Also, the results show that infrastructure provision has stimulated aggregate total factor productivity growth through both within and between industry productivity gains.

While the main purpose of reporting – e.g. reporting for taxes – is to gauge the economic state of a company, the fact that reporting is done at pre-determined dates distorts the reporting results. For example, to create a larger impression of their productivity, companies fire temporary workers before the reporting date and re-hire then right away. The purpose of this study is to decide how to avoid such distortion.

This study aims to come up with a solution which is applicable for all possible reasonable optimality criteria. Thus, a general formalism for describing and analyzing all such criteria is used.

This study shows that most distortion problems will disappear if the fixed pre-determined reporting dates are replaced with individualized random reporting dates. This study also shows that for all reasonable optimality criteria, the optimal way to assign reporting dates is to do it uniformly.

This study shows that for all reasonable optimality criteria, the optimal way to assign reporting dates is to do it uniformly.

It is found that the individualized random tax reporting dates would be beneficial for economy.

It is found that the individualized random tax reporting dates would be beneficial for society as a whole.

This study proposes a new idea of replacing the fixed pre-determining reporting dates with randomized ones. On the informal level, this idea may have been proposed earlier, but what is completely new is our analysis of which randomization of reporting dates is the best for economy: it turns out that under all reasonable optimality criteria, uniform randomization works the best.

The gap that this research attempts to fill is to analyse the explanatory factor “industry” when assessing the reputation of a corporate group. In other words, this research attempts to demonstrate the impact of the “industrial halo” on the assessment of corporate reputation, given that, to date, the academic literature has not considered industry as an explanatory variable in the assessment of the reputation of private companies.

A sample of 43 Spanish companies was used to analyse the relationship between the reputation of firms as measured by the Merco Empresas index, and the industries to which they belong, after controlling for company performance, size, turnover, public recognition of their leadership, and corporate responsibility. This involved conducting a cross-sectional analysis of the relationship between the variables for each year in the time period from 2005 to 2016. The available data were taken from the firms' annual financial reports and websites, as well as from the Merco.

The paper shows the existence of industrial halos that account for the corporate reputation of businesses in Spain. It is also shown that industrial halos are not permanent over time, and that they tend to occur in years of crisis.

It would have been desirable for this study to have had sufficient data to include other industries, but this was not possible. As for possible extensions, in addition to expanding the period considered, other analytical techniques, such as panel data models, could be applied to allow comparison with the results obtained here.

The results of this study have some practical implications. Firstly, firms that publish corporate reputation rankings should be aware of the distortion that the industrial halo can produce, especially in times of uncertainty, and seek to correct for it in their measurements. And secondly, corporate groups themselves should assume that the reputation of the industry affects their individual reputation, and consequently, they should see the other companies in the industry not only as competitors but also as “reputational allies”. They should therefore make collective efforts to improve in this respect, especially in the face of reputational crises.

This paper provides a better understanding of the relationship between the reputation of a company and the industry to which it belongs, and of its permanence over time. This relationship has been little studied in the Spanish market to date.

本研究擬分析當企業集團的信譽被評估時的解釋性因素-行業,以填補現時的研究缺口。具體來說,研究人員鑒於學術文獻至今仍未於評估私營企業的信譽時、把行業當作是一個解釋變量來看待,故擬進行研究、以顯示行業光環在評估企業信譽時所產生的影響。

研究使用的樣本為43間西班牙公司。研究人員分析以Merco Empresas 指數來測量的公司信譽與公司所屬行業之間的關係。有關的分析調控了公司的業績、規模、營業額、企業責任、以及企業領導能力的公眾認可程度所帶來的影響。研究人員對有關變量間的關係進行橫向分析 分析於2005年至2016年期間年度性地進行。現有數據取自有關公司的年度財務報表和其網站,也有取自Merco的。

研究結果表明了可解釋西班牙企業信譽的行業光環是存在的。研究結果亦顯示、行業光環不是永恆的,而且,行業光環往往會在營運極其困難的年度內出現。

本文讓我們更深入瞭解公司信譽與公司所屬行業之間的關係,以及其在時間上的永恆性。就這相關的關係而言,探討西班牙市場的研究至今為數不多。

This study examines the possibility of asymmetric impact of inflation on the financial development (FD) in the case of Indian economy from 1980 to 2020. Moreover, the finance–growth hypothesis is also tested.

The authors incorporated the “Nonlinear Autoregressive Distributed Lag” (NARDL) model due to Shin et al. (2014) to investigate the asymmetric impact of inflation on financial development. Asymmetric cumulative dynamic multipliers are also used to track the traverse of any short-run distortion towards the long-run cointegration.

The results revealed that inflation impacts the financial development negatively whereas the economic growth (EG) and trade openness have a positive effect. However, the effect of inflation on financial development is not symmetric. Moreover, the findings support the demand-led growth hypothesis.

To the best of the authors' knowledge, this is the first study examining the asymmetric effects of inflation on financial development in the Indian context. In addition, instead of using a single proxy to measure financial development, an index for financial development encompassing different aspects of the financial system has been incorporated.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0094