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Purpose – The purpose of this paper is two‐fold. First, it studies whether output volatility and growth are linked at the firm‐level, using data for German firms. Second, it explores whether the link between volatility and growth depends on the degree of credit market imperfections. Design/methodology/approach – The authors use a novel firm‐level dataset provided by the Deutsche Bundesbank, the so‐called Financial Statements Data Pool. The dataset has time series observations for German firms for the period 1997‐2004, and the authors use information on the debt‐to‐assets or leverage ratio of firms to proxy for credit‐constraints at the firm‐level. As additional proxies for the importance of credit market imperfections, we use information on the size and on the legal status of firms. Findings – The authors find that higher volatility has a negative impact on growth for small and a positive impact for larger firms. Higher leverage is associated with higher growth. At the same time, there is heterogeneity in the determinants of growth across firms from different sectors and across firms with a different legal status. Practical implications – While most traditional macroeconomic models assume that growth and volatility are uncorrelated, a number of microeconomic models suggest that the two may be linked. However, it is unclear whether the link is positive or negative. The paper presents additional evidence regarding this question. Moreover, understanding whether credit market conditions affect the link between volatility and growth is of importance for policy makers since it suggests a channel through which the credit market can have long‐run welfare implications. The results stress the importance of firm‐level heterogeneity for the effects and effectiveness of economic policy measures. Originality/value – The paper has two main novel features. First, it uses a novel firm‐level dataset to analyze the determinants of firm‐level growth. Second, it analyzes the growth‐volatility nexus using firm‐level data. To the best of the authors' knowledge, this is the first paper, which addresses the link between volatility, growth, and credit market imperfections using firm‐level data.

This paper aims to contribute to the regionalisation–globalisation debate in international business (IB) by providing a longitudinal analysis of firm-level multinationality. The analysis uses a unique hand-collected data set of both accounting (sales) and non-accounting (subsidiaries) data. The percentage of foreign sales is also used as an additional measure of multinationality.

This paper categorises constituent firms of the Financial Times Stock Exchange 350 index over an 18-year time period from 1998 to 2015. Firms are categorised using the multinationality classification system developed by Aggarwal et al. (2011). The paper also conducts an industrial analysis across ten industries.

The evidence shows increasing multinationality over time that suggests a “trans-regional” operational strategy rather than a global or regional one. The results also show that UK firms are more multinational based on subsidiaries than sales. This contradicts the traditional stages theory of internationalisation where firms first expand sales, then subsidiaries. While some support for triad regions is found, there is also evidence of firm-level operations expanding beyond the triad regions of North America, Asia and Europe to non-triad regions such as Africa, Oceania and South America. The industrial analysis shows that non-service firms are more multinational than service firms.

To the best of the authors’ knowledge, this is the first paper to provide an in-depth longitudinal analysis of the geographical dispersion using both sales and subsidiaries data for UK firms. This paper provides a unique perspective on the regionalisation–globalisation debate in IB and presents evidence contrary to traditional stages theories of firm-level internationalisation.

The study examines the association between firm-level political risk and corporate innovation and also this study explores how financial constraint and growth level of a firm influence this association.

A sample of 14,140 firm-year observations of the US firms from 2003 to 2020 is used. Unlike prior studies, this study uses a firm-level measure of political risk recently developed by Hassan et al. (2019) and measure innovation by patent and patent citation data and a text-based measure. A regression technique is used for empirical testing.

This study finds that firm-level political risk is negatively associated with innovation and also document that firm-level political risk has a negative impact on innovation for financially constrained and high growth firms. The overall results are robust after addressing the issue of potential endogeneity using entropy balancing and two-stage least squares regression techniques. This study also documents qualitatively consistent results after using alternative measures of innovation as well as firm-level political uncertainty.

The findings of this study could help the managers to make better investment decision and improve economic efficiency through understanding the effect of firm-level political risk on innovation activities.

The study concentrates on firm-level political risk and innovation and presents new insights that political risk at the microlevel is an important determinant for investment in innovative activities.

The purpose of this study is to examine the effect of country- and firm-specific factors on foreign investment in Pakistan.

This study uses time-series data for country-level determinants and uses panel data for 100 listed non-financial companies selected based on market capitalisation from 2005 to 2015.

Findings suggest that the stock market returns and liquidity of the country significantly positively influence the foreign portfolio investment (FPI) in Pakistan. Whereas, economic growth surprisingly is negatively related to foreign portfolio investment. In addition, findings reveal that firm size, financial leverage, dividend yield and global depositary receipts (GDR) have a positive impact on the total foreign investment at firm level. Further, foreign institutional investors prefer to invest in those firms that are large, pay high dividends and issue GDR. Furthermore, findings suggest that foreign direct investors tend to invest in firms that are financially leveraged and have low capital gain yield.

At the country level, this study recommends that stock market performance, economic growth and foreign reserves of the country should be maintained and improved to attract FPI. At the firm level, this study recommends issuance of global depositary receipts and high dividend payouts for those firms that are interested in institutional investment in Pakistan.

To the best of authors' knowledge, this study is the first that examines the effect of firm-level factors along with country-level factors on foreign investment in Pakistan.

The purpose of this paper is to contribute to the literature on learning by exporting by investigating whether an increase in the complexity of exported products contributes to higher productivity at the firm level.

The study implements an empirical analysis for Estonian manufacturing firms involved in exporting for the period 2008–2014, adding product complexity as an explanatory variable in the production function estimation. An increase in product complexity is interpreted as an indirect proxy for an increase in firm capabilities, capturing both tangible and intangible elements of competitiveness and reflecting the learning effects.

A relatively weak correlation between product complexity and productivity was found using a simple OLS estimation – exporters with higher product complexity have generally higher productivity levels. Somewhat surprisingly, no evidence for the learning by exporting was found among exporters, meaning that the increased complexity does not seem to be a channel for productivity upgrading. This result seems to be robust, irrespective of estimation methods and sampling preferences.

The sample is representative of exporting firms.

The results show that the pursuit to more complex product does not necessarily contribute to productivity for exporting firms. The findings suggest that the firm-level upgrading due to increased export orientation is likely to take place through the other channels like moving up in global value chains and differentiating by product quality.

This is one of the first papers to investigate the effect of product complexity on productivity at a firm level. The results provide new insights into the learning-by-exporting hypothesis, with focus on potential learning among the existing exporters.

It is documented that companies and government agencies in the USA invest more in the fourth fiscal quarter without having higher investment opportunities. While previous studies focus on the agency conflicts and information asymmetry within organizations, this study is motivated by Scharfstein and Stein's (2000) two-tiered agency model and aims to examine how firms' external business environment affects the “fourth quarter effect.”

The authors implement this study in a sample of 41 countries and observe similar seasonality in firm investment as documented in the US market.

More importantly, using country characteristics, this study finds that firms from countries with better investor rights and protection, and more developed financial markets show less severe over-investment in the fourth fiscal quarter.

This paper contributes to the literature of law and finance, and the internal capital market, by investigating the quarterly investment patterns of firms from 41 countries. The authors find that similar to the results in earlier studies on the US market, firms in the global market increase their capital expenditure in the fourth fiscal quarter, indicating that the internal agency conflicts between the headquarters and divisional managers are widespread across the world. The authors also find that firms that operate in countries with higher investor rights and protection, and more developed financial markets, tend to show less severe “fourth quarter effect”.

The purpose of this paper is to study the association between firm size and hiring discrimination against women, ethnic minorities and older job candidates.

The authors merge field experimental measures on unequal treatment with firm-level data. The resulting data enable the authors to assess whether discrimination varies by indicators of firm size, keeping other firm characteristics constant.

In contrast with the theoretical expectations, the authors find no evidence for an association between firm size and hiring discrimination. On the other hand, the authors do find suggestive evidence for hiring discrimination being lower in respect of public or non-profit firms (compared to commercial firms).

To effectively combat hiring discrimination, one needs to understand its driving factors. In other words, to design adequate policy actions, targeted to the right employers in the right way, one has to gain insight into when individuals are discriminated in particular, i.e. into the moderators of labour market discrimination. In this study, the authors focus on firm size as a moderator of hiring discrimination.

Former contributions investigated this association within the context of ethnic discrimination only and included hardly any controls for other firm-level drivers of discrimination. The authors are the first to study the heterogeneity in discrimination by firm size with respect to multiple discrimination grounds and control for additional firm characteristics.

The effect of market power on allocative efficiency is one of the most important topics in industrial organization and has undergone rigorous investigation since the 1970s. However, empirical studies based on firm-level data are relatively rare, especially with regard to China's tobacco and food industries. Accordingly, this research measures market power and allocative efficiency loss (AEL) of the main tobacco and food industries in China with micro data at firm level. Subsequently, it conducts a comparative analysis on them.

This research applies the New Empirical Industrial Organization (NEIO) model, consisting of five pricing and demand simultaneous equations to measure market power, and the AEL model to measure AEL induced by market power. To match with the micro data at firm level, the study implements a change in the traditional NEIO model by abandoning the aggregating process.

Empirical results show that China's tobacco industry, among five sectors selected, has the largest market power and thus the highest degree of AEL, whereas other sectors have apparently smaller market power and lower levels of AEL. Comparative analysis demonstrates a coarse positive correlation between market power and AEL in the selected industries. In general, the results accord well with the existing empirical findings and the reality.

This study has some deficiencies. First, owing to the limitation of high-quality data, the sectors analyzed in this research are insufficient to sum up all the characteristics and rules of China's whole food industry. Second, this research only analyzes seller market power and leaves out buyer market power, which could be a direction for future research.

The relevant administrations should strictly limit the monopoly behaviors of enterprises and establish a favorable and competitive market environment, especially for the tobacco industry. This suggestion is precisely an important content of China's Supply-side Reform.

The research improves the NEIO model in that it can be estimated with micro data at firm level. To the best knowledge of the authors, very few empirical and comparative analyses exist on market power and AEL for China's tobacco and food manufacturers using micro data.

A new round of technological revolution is impacting various aspects of society. However, the importance of technology adoption in fostering firm innovation is underexplored. Therefore, this study aims to investigate whether robot adoption affects technological innovation and how human capital plays a role in this relationship in the era of circular economy.

Based on the robot adoption data from the International Federation of Robotics (IFR) and panel data of China's listed manufacturing firms from 2011 to 2020, this study uses regression models to test the impact of industrial robots on firm innovation and the mediating role of human capital.

The results demonstrate that the adoption of industrial robots can significantly promote high-quality innovation. Specifically, a one-unit increase in the number of robots per 100 employees is associated with a 13.52% increase in the number of invention patent applications in the following year. The mechanism tests show that industrial robots drive firm innovation by accumulating more highly educated workers and allocating more workers to R&D jobs. The findings are more significant for firms in industries with low market concentration, in labor-intensive industries and in regions with a shortage of high-end talent.

Due to data limitations, the sample of this study is limited to listed manufacturing firms, so the impact of industrial robots on promoting innovation may be underestimated. In addition, this study cannot observe the dynamic process of human capital management by firms after adopting robots.

The Chinese government should continue to promote the intelligent upgrading of the manufacturing industry and facilitate the promotion of robots in innovation. This implication can also be applied to developing countries that hope to learn from China's experience. In addition, this study emphasizes the role of human capital in the innovation-promoting process of robots. This highlights the importance of firms to strengthen employee education and training.

The adoption of industrial robots has profoundly influenced the production and lifestyle of human society. This study finds that the adoption of robots contributes to firm innovation, which helps people gain a deeper understanding of the positive impacts brought about by industrial intelligence.

By exploring the impact of industrial robots on firm innovation, this study offers crucial evidence at the firm level to comprehend the economic implications of robot adoption based on circular economy and human perspectives. Moreover, this study reveals that human capital is an important factor in how industrial robots affect firm innovation, providing an important complement to previous studies.

This chapter presents a review of the recent sales and use tax (SUT) literature for accountants, focusing on articles published between 2000 and 2011 in traditional accounting outlets. State and local taxes are an important component of accounting research, but the SUT element of state and location taxation has not been reviewed from an accounting perspective. This review indicates that most recent SUT research has focused on evaluating current or proposed SUT structures, or on empirically studying the antecedents and consequences of SUT policy. Behavioral researchers have substantial opportunities to contribute to the SUT field in future studies by conducting surveys, behavioral experiments, and qualitative case studies to further expand the field's understanding of SUT's antecedents and consequences. Overall, this chapter provides a comprehensive overview of recent SUT research that can help to foster interest of SUT within behavioral accounting research and beyond.