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This study investigates the optimum size for manufacturing firms and the impact of subcontracting on firms' likelihood of achieving their optimal scale in Vietnam.

Using data from the enterprise census in 2017 and 2021, the paper first estimates the production function to identify the optimum firm size for manufacturing firms and then, applies the logit model to investigate factors associated with the optimal firm size.

The study reveals that medium-sized firms exhibit the highest level of productivity. Nevertheless, a consistent trend emerges, indicating that nearly 90% of manufacturing firms in Vietnam operated below their optimal scale in both 2017 and 2021. An analysis of the impact of subcontracting on firms' likelihood to achieve their optimal scale emphasizes its crucial role, especially for foreign firms, exerting an influence nearly five times greater than that of the judiciary system.

The paper's findings offer crucial policy implications, suggesting that initiatives aimed at enhancing the overall productivity of the manufacturing sector should prioritise facilitating contract arrangements to encourage firms to reach their optimal size. These insights are also valuable for other countries with comparable firm size distributions.

This paper provides the first empirical evidence on the relationship between firm size and productivity as well as the role of subcontracting in firms' ability to reach their optimal scale in a country with a right-skewed distribution of firm sizes.

This study aims to estimate the firm size distributions that belong to the service sector and manufacturing sector in Korea.

When estimating the firm size distribution, the author considers the following two major factors. First, the firm size distribution can have a gamma distribution rather than traditional accepted distributions such as Pareto distribution or log-normal distribution. In particular, industry-specific enterprises can have different size distributions of the type of gamma distribution. Second, the firm size distribution that is applied to this study’s data set should reflect a number of factors. For example, estimating mixture gamma distribution for firm size distribution should be required and compared, because the total amount of configuration data is composed of small businesses, medium-sized and large companies.

Using 8,230 number of firm data in 2013, the author estimates mixture gamma distribution for the firm size.

From the comparison, empirical results are found for the following characteristics of core firm size distribution: first, the firm size distribution of the manufacturing sector has a longer tail than firm size distribution of the service sector. Second, the manufacturing firm size distribution dominates the entire country firm size distribution. Third, one factor among the three factors that make up the mixed gamma firm size distribution is described for 99 per cent of the firm size distributions. From the estimated firm size distributions of the service sector and manufacturing sector in Korea, the author simply implies the strategy and policy implications for the start-up firm.

Previous evidence has shown a generally positive relationship between continuously developed innovation, known as innovation persistence and employment growth in firms. This study investigates whether firm size moderates this relationship and how, considering persistent product and process innovation.

The authors studied the influence of firm size on the relationship between innovation persistence and employment using a 10-year panel database of firms based on national innovation surveys. The authors consider firm size as sales and measure innovation persistence through the hazard rate of innovation spells. To assess the main model, they use a system generalized method of moments (GMM) estimator.

The authors' main findings indicate that firm size negatively moderates the relationship between persistent innovation and employment growth. These results suggest that the positive effects of product and process persistent innovation on employment growth decrease as firm size increases. The authors also find evidence indicating that the moderator role of firm size is greater when firms innovate more persistently. Robustness tests with different specifications confirm the results.

The authors show that firm size negatively affects the strength of the relationship between innovation persistence and employment growth in product and process innovations. The authors also show that the moderator role of firm size is greater when firms are more persistent in generating product and process innovation. Additionally, using a panel dataset, they provide evidence from a sample of firms in a developing country where no studies on this matter have previously been conducted.

This study examines the effects of firm size on financial reporting quality (FRQ) through the mediating effects of audit committee (AC) quality and internal audit function (IAF) quality.

Based on data from a questionnaire survey and archival sources of non-financial companies listed on the Dhaka Stock Exchange (DSE), the authors perform both structural equational modeling and ordinary least squares (OLS) regression to test the developed hypotheses.

Results show that the firm size is positively related to IAF quality. Firm size, AC quality and IAF quality are significantly associated with abnormal accruals (FRQ). Moreover, the authors find a mediation effect of the IAF quality on the relationship between firm size and FRQ, while no mediation effect is observed for AC quality. Thus, the study advocates companies focus on AC quality and IAF quality to enhance FRQ as it has a significant impact on corporate disclosure and investor decisions.

First, the study is restricted to the survey questions that cover particular areas of the AC and IAF. Second, the sample selection focuses on relatively big industries in terms of the number of firms and excludes small sectors.

The findings provide significant implications for professionals and policymakers in making regulatory reforms and revising existing policies to improve governance monitoring performance and FRQ.

To the best of the authors’ knowledge, this is the first study to explore the mediation effect of AC quality and IAF quality on firm size–FRQ nexus in a developing country.

Using a meta-regression analysis, we quantitatively review the empirical literature on the relation between effective tax rate (ETR) and firm size. Accounting literature offers two competing theories on this relation: The political cost theory, suggesting a positive size-ETR relation, and the political power theory, suggesting a negative size-ETR relation. Using a unique data set of 56 studies that do not show a clear tendency towards either of the two theories, we contribute to the discussion on the size-ETR relation in three ways: First, applying meta-regression analysis on a US meta-data set, we provide evidence supporting the political cost theory. Second, our analysis reveals factors that are possible sources of variation and bias in previous empirical studies; these findings can improve future empirical and analytical models. Third, we extend our analysis to a cross-country meta-data set; this extension enables us to investigate explanations for the two competing theories in more detail. We find that Hofstede’s cultural dimensions theory, a transparency index and a corruption index explain variation in the size-ETR relation. Independent of the two theories, we also find that tax planning aspects potentially affect the size-ETR relation. To our knowledge, these explanations have not yet been investigated in our research context.

The purpose of this paper is to explore the threshold effect of firm size on technological innovation using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector.

Considering the aim of research question is to examine the nonlinear relationship, this paper utilizes the threshold regression proposed by Hansen's (2000).

Based on a threshold regression model using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector, we find a series of new results. This nonlinear relationship is under the restrictions and impacts of various factors, such as industry characteristics and government subsidies. The results suggest that the threshold regression model well explains the complicated nonlinear relationship and transition process, and it can also shed light on management practice and policy.

There are categorical arguments regarding why firm size is not as effective as before in explaining the monotonic principle of industrial innovation, especially for establishing an effective industrial policy in a particular situation. One of the important reasons is that we have begun to adopt a new perspective from the nonlinear view on the relationship between firm size and industrial innovation. In this study, we have examined the threshold effect of firm size on industrial technological innovation, which is the most representative nonlinear relationship.

The purpose of this paper was to test the mediating role of training duration in relationship between firm characteristics and training evaluation practices. In this paper, the authors also investigated if this mediating effect differs with respect to the size of the firm.

The authors collected data from 260 professionals of 90 call centers.

The authors found that training duration mediates the relationship between firm size and training evaluation. The authors also found that indirect effect of firm size on training evaluation through training duration differs across different levels of firm size but not across different levels of ownership.

This is a cross-sectional study that emphasized on training evaluation practices only.

The study has implication for both evaluation researchers and practitioners in terms of designing training evaluation policies and practices.

This is the first study in its nature that explains the intervening role of training duration in relationship of firm characteristics and training evaluation practices.

This paper analyses the relationship between wage dispersion and firm size within a “two-tier” system of collective bargaining (firm bargaining and multi-employer bargaining levels). Collective bargaining has a decisive role in setting wages in Spain, and its regulation highly limits the possibility for smaller firms to negotiate their own collective agreement.

Based on the Spanish Structure of Earnings Survey 2006, 2010 and 2014, the authors use variance decomposition in order to deeply analyse the effect of bargaining level on wage dispersion and compare the value of each decile of the distribution of wages for the purposes of identifying the quantitative differences in wage compression.

In general, the outcomes positively linked firm size and firm bargaining to wage dispersion. However, if firm size is taken into account, the effect of firm bargaining is limited among small firm workers because this type of firm is not usually covered by firm bargaining. On the other hand, the time analysis allows observing a wage compression that follows different patterns depending on firm size, compressing the higher part of the distribution in case of small firms and the lower part in case of large firms. This should be explained by the fact that wage negotiation is dependent on firm size.

Firm size has determined firm adjustment strategies to face the recent economic crisis and allows to evaluate the impact that changes in collective bargaining can have on wage distribution

There is no research that has tried to analyse the relationship between wage dispersion and firm size in a context where collective bargaining is essential to understand the wage structure. Normally, firm size plays a decisive role in wage policy given that the capacity of a company to negotiate an agreement is closely linked to its size.

Firm size has been identified as one of the most important correlates with corporate social performance (CSP). Both conceptual and empirical research has been done to try to explicate and determine this relationship; however, the results from both theoretical and empirical research have indicated a mixed and sometimes inconsistent relationship because of endogeneity between firm size and CSP. This paper aims to add to the body of knowledge by identifying and addressing some of the limitations in determining the relationship between firm size and CSP.

Using the Arellano–Bond method to control for the endogeneity, this study tests the relationship between CSP and firm size using a panel of 380 public companies of various sizes; in various industry types; and across 19 countries in North America, Europe and Asia over a six-year period.

The results of the study show that firm size positively influences CSP and its subcomponents when endogeneity has been controlled for.

This study lends support for the theory of the firm framework that CSP attributes are embedded in the production process that leads to higher economies of scale, and the resource-based view of firms where firms that possess valuable and inimitable resources in CSR can lead to a sustainable competitive advantage over competitors. This suggests that as firms grow in size, they can leverage their resources to achieve greater economies of scale that will lead to better CSP over time.

This study addresses the potential endogeneity problem between firm size and CSP and offers a broader testing context.