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This paper aims to revisit the relationship between sales growth and profitability by exploring the direct and indirect effects of cost stickiness in the growth process. Cost stickiness refers to asymmetric variations of costs associated with increases and decreases in sales. Cost stickiness is analyzed as a strategic liability that negatively affects profitability because it contributes to organizational rigidity that causes opportunity costs.

The empirical design is based on a large sample of 65,599 French firms drawn from the Amadeus database and it covers the period 2010 to 2019. The authors take advantage of the presentation of expenses made by nature in Amadeus to calculate cost stickiness in a more direct way than what is commonly done in the literature. The authors use various regression models to test the hypotheses.

For firms that experience rapid growth in sales, cost stickiness has a positive moderating effect on the relation between sales growth and profitability because of a higher asset turnover efficiency. However, for firms that experience slow growth, no growth or a decrease in sales, cost stickiness plays a negative moderating effect on the relation between sales and profitability.

This work contributes to the discussion about the conditions under which high growth is associated with greater profitability and conceptualizes cost stickiness as a strategic liability. The empirical context, privately held firms, has been overlooked by previous research.

Firms use design capability across the globe to compete and increase sales, e.g. Apple. However, the payoff from design know-how has been overlooked thus far. Academic research lags in this space despite the intersection of sales, technology and design in practice. This paper provides researchers and managers with implications of the interplay between design capability and technological market conditions to enhance a firm's sales.

Firms' capability design, and sales impact have been studied in this paper across different technological market conditions. Primary technological conditions of the industry under which firms operate are captured, which are technological intensity (TI), technological competitive intensity (TCI) and technological maturity (TM). Their interplay has been studied using panel data analysis, examining fixed and random effects.

Design is an important, interesting and non-imitable capacity that yields positive firm execution results. It provides an urgent differentiator and improves deal development. This study found that all four hypotheses are generally supported. The main finding is that, provided underlying technology is good, design significantly improves sales, but design alone cannot substitute for poor technology.

The results of this study link the three technological environment conditions, namely, TI, TCI and TM with sales growth. The authors find that design can and does add to superior performance, provided technological excellence exists prior. But, in the absence of good technology, design alone will hinder performance.

This paper examines the effect of firm design capability on sales growth. The paper finds a positive moderating effect of TCI and TM but a negative moderating effect of TI. The researchers believe these aspects of the design have not been studied before.

This study aims to examine the links between carbon emissions, electric vehicles, economic growth, energy use, and urbanisation in 15 countries from 2010 to 2020.

This study adopts seminal panel methods of moments quantile regression with fixed effects to trace the distributional aspect of the relationship. The reliability of methods is confirmed via fully modified ordinary least squares coefficients.

This study reveals that fossil fuel use, economic activity, and urbanisation negatively impact environmental quality, whereas renewable energy sources have a significant positive long-term effect on environmental quality in the selected panel of countries.

The main limitation of this study is the generalisability of the findings, as the study is confined to a limited number of countries, and focuses on non-renewable and renewable energy sources.

Finally, this study proposes several policy recommendations for decision-makers and policymakers in the 15 nations to address climate change, boost sales of electric vehicles, and increase the use of renewable energy sources.

This study calls for a comprehensive transition towards green energy in the transportation sector, enhancing economic growth, fostering employment opportunities, and improving environmental quality.

Some researchers regard discretionary accrual (DA) as one of the factors that drive corporate managers to conduct tax planning (Scott, 2009; Basri and Buchari, 2017). Based on agency theory and positive accounting theory, corporate managers can transform accounting information and manipulate firm earnings to reduce tax liability. There is a lot of research concerning earnings management and tax planning in the developed economy. These studies include Wang and Chen (2012) and Pettersson and Wu (2015). In the emerging economies, it includes Jamei and Khedri (2016), Kurniasih and Sulardi Suranta (2017), Prastiwi (2017), Almashaqbeh et al. (2018), Bayunanda et al. (2018), Rani et al. (2018) and Kałdoński and Jewartowski (2019). It is important to note that none of the research mentioned above has evaluated the impact of real earnings management (REM) on tax planning in Nigeria. While in the developed economy only Kałdoński and Jewartowski (2019) used REM as an explanatory variable, while the majority of studies used DA. Consequently, no study has used REM to moderate the relationship between financial attributes and tax planning. Despite the widespread notion, as well as positive accounting theory, tax planning theory that financial attributes (profitability, leverage, liquidity and firm growth), REM and DA motivate tax planning, previous investigations have produced mixed results (Dwenger and Steiner, 2009; Wang and Chen, 2012; Chen and Zolotoy, 2014; Aghouei and Moradi, 2015; Pettersson and Wu, 2015; Ribeiro, 2015; Chen et al., 2016; Jamei and Khedri, 2016; Ogbeide, 2017; Yuniawati et al., 2017; Chen and Lin, 2017; Firmansyah and Febriyanto, 2018; Prastiwi, 2018; Rani et al., 2018; Kibiya and Aminu, 2019; Kałdoński and Jewartowski, 2019 and Siyanbonla, 2021). This study aims to use REM as a moderator to examine the relationship between financial attributes and tax planning whether it will strengthen or weaken the relationship.

The study examines the impact of financial attributes on the corporate tax planning of listed manufacturing firms in Nigeria. It also tests for the moderating effect of REM on the relationship between financial attributes and tax planning. Data for the study was sourced from the annual reports of sampled manufacturing firms. The study used the panel data methodology for analysis. The study used fixed effect estimation to interpret the parsimonious model and random effect was used to interpret the moderated model. The study documented that financial leverage has a positive significant influence on the tax planning of the sampled manufacturing firms. While firm growth has a negative significant impact on the tax planning of listed manufacturing firms in Nigeria. REM has a positive significant impact on tax planning. Also, REM moderate significantly the relationship between financial attributes on one hand and tax planning on the other. The study recommends that firms should go for more debt to take advantage of the tax shield of interest on the debt. Also, firm management should use non-current debt to finance non-current assets and use current debt to finance current assets to avoid the risk of taking over or liquidation. The study also recommends that firm management should engage in intercompany and intracompany transactions by selling their goods to affiliates in countries with low prices and low tax rates. A firm should also overproduce goods to have high production costs and high closing inventory since real earning management significantly reduces tax liabilities by deferring income into a later year.

The study documented that financial leverage has a positive and significant influence on the tax planning of the sampled manufacturing firms. While firm growth has a negative but significant impact on the tax planning of listed manufacturing firms in Nigeria. REM has a positive and significant impact on tax planning. Also, REM moderate significantly the relationship between financial attributes on one hand and tax planning on the other.

There is a lot of research concerning earnings management and tax planning in the developed economy. These studies include Wang and Chen (2012) and Pettersson and Wu (2015). In the emerging economies, it includes Jamei and Khedri (2016), Kurniasih and Sulardi Suranta (2017), Prastiwi (2017), Almashaqbeh et al. (2018), Bayunanda et al. (2018), Rani et al. (2018) and Kałdoński and Jewartowski (2019). It is important to note that none of the research mentioned above has evaluated the impact of REM on tax planning in Nigeria. While in the developed economy only Kałdoński and Jewartowski (2019) used REM as an explanatory variable, while the majority of studies used DA. Consequently, no study has used REM to moderate the relationship between financial attributes and tax planning.

The main goal of this paper is to study the specific characteristics of the performance of companies in the metallurgical sector, in the northern region of Portugal.

To achieve this aim, the authors have used data from 325 companies manufacturing metal products, except machinery and equipment (CAE Rev.3 25) and 27 companies that manufacture machinery and equipment (CAE Rev. 3 28). The models were estimated by using the panel data methodology for the period between 2011 and 2019. Specifically, the estimation method of the generalized method of moments system (GMM system) proposed by Arellano and Bover (1995) and Blundell and Bond (1998) was used.

The results show that the main decisions on the performance of metallurgical companies in Northern Portugal depend on the dimensions of sales in the domestic market (SDM), sales in the community market (SCM), and sales in the foreign market (SFM) and also highlight that the signal and significance of the specific variables depends on how the different stakeholders understand performance.

As far as the authors know, this is the first study to comparatively analyze the two metallurgical databases in Portugal. Despite the huge difference in the size of the sample, this study’s results show that in an era of paradigm shift about what business objectives should be, stakeholders are still not environmentally aware and the social dimension is only considered by shareholders, but not yet by the manager and the general community.

This study investigates the significance of trade credit (TC) as an alternative source of funding in financing the growth of financially dependent firms.

Panel data analysis using the difference generalized method of moments (GMM) and fixed-effects ordinary least squares (FE-OLS) is conducted on annual data from publicly listed firms across a number of developing economies. The data cover the period from 2003 to 2019.

The findings indicate that financially dependent firms rely on TC to manage their growth, especially when they have exhausted their debt capacity. This dependence on TC displays a cyclical pattern. As firms enhance their financial position, they tend to scale back their dependence. Nevertheless, firms with significant growth opportunities continue utilizing TC for at least two years after their initial identification as financially dependent.

The author's conclusion highlights that TC can be a valuable and accessible source of funding, especially in developing economies where the real sector may require alternative financing channels. Hence, TC has the potential to play a very significant role in financing corporate growth in these economies.

The current study adds to the existing body of literature by revealing that access to alternative sources of finance is also critical for firms that are dependent on external sources and for firms that have exhausted their financial debt capacity.

This study aims to focus on assessing the status of agribusiness enterprises in Nigeria. The specific goals were to ascertain the level of performance of different categories of agribusiness enterprises, and determine the institutional and firm-level characteristics that influence agribusiness performance.

The study is based on secondary data. These data were sourced from the World Bank business enterprise survey. The World Bank Enterprise survey employed a purposive sampling technique to select major staple agribusiness categories in Nigeria. The categories selected were those included in the World Bank's categorization of agribusiness enterprises. These categories include tobacco, food, textiles, leather, garments, paper industries and wood. The individual firms included in the survey were randomly selected from the selected agribusiness categories. In total, 721 agribusiness firms were selected. Data were analyzed with multiple linear regression at a 5% probability level.

The result of the analysis showed that small-scale agribusiness enterprises have the best performance based on an average of the five performance indicators considered in this study. The determinants of agribusiness performance showed that the credit constraint, size of enterprise, bureaucracy and corruption negatively and significantly affected the performance of agribusiness enterprises in the country, while the gender and educational status of the top manager were positively significant.

The findings imply that small agribusinesses are instrumental in the development of the agribusiness sector and by extension the economy of the nation.

This study enhances the understanding of how best to deliver improved system-level performance policy and wealth creation, especially within the agribusiness subsector.

The purpose of this study is to present a system dynamic (SD)-based remanufacturing economic analysis model of used automobile engine under two recycling modes. The authors will compare the remanufacturing cost, sales profit and sales revenue from time and space dimensions incurred in different recycling modes in the long run.

The remanufacturing economic analysis model is based on SD methodology. The authors can simulate the relations of impact factors on automobile engine recycling and remanufacturing and further analyze and compare the cost, sales profit and sales revenue incurred in different recycling modes in the long term.

Sinotruk Steyr engine remanufacturing in Shandong province is taken as the research case subject. The revenue, cost and profit under the two recycling modes from 2015 to 2035 are analyzed and compared. The results show that different recycling modes have significant varying influence on the economy of engine remanufacturing.

This economic analysis model can provide a method reference to decide the recycling mode for auto components and other product remanufacturing. Moreover, this model can guide and support the sustainable development of remanufacturing industry.

The purpose of this study is to analyze the influence of the firms' external environment on their export intensity. More specifically, it assesses whether domestic market characteristics such as domestic demand and general export environment related to tradability across borders affect firms' export intensity.

The authors use a sample of 29,266 firms from nine European countries, for the period of 2010–2016, and test several estimation methods (random effects models, Tobit models, and Heckman's selection models).

Results show that external factors such as domestic demand and ease of trade across borders are important determinants of firms' export intensity. Moreover, results reveal that firm's internal characteristics such as age, size and productivity also play an import role.

Studies about the influence of the firms' external environment on firms' export intensity are scarce because most of them are confined to a single country context. In this way, the present study contributes to the body of knowledge on the influence that external factors can have on firms' export performance by analyzing firms from nine European countries, which has important policy implications.

This study investigates the relationship between working capital investment (WCI) and firm value for Indian manufacturing firms using excess net working capital (NWC) and Tobin's Q as a measure of WCI and firm value, respectively. The study also examines whether firms use the cash released from excess investment in working capital to make long-term investments.

The sample comprises 834 Bombay Stock Exchange (BSE) listed Indian manufacturing firms whose data from April 2010 to March 2020 are analyzed using a fixed-effect panel regression analysis approach.

The empirical results show that excess NWC influences firm value negatively and significantly. However, the nature of the relationship becomes nonlinear upon dividing the sample into positive excess NWC and negative excess NWC. The findings from the study also reveal that firms redistribute cash freed from positive excess NWC for long-term investments to improve their value without impacting the corresponding risk.

Overall, the results suggest that firms with positive excess NWC can enhance their valuations by building adequate long-term investments from surplus WCI funds.

To the authors’ best knowledge, studies on this issue have primarily focused on developed economies. No study seems to have been done on this subject in the emerging South Asian economies. The present study is the first to bridge the research gap by investigating the relationship between excess WCI and firm value for manufacturing firms in India. Moreover, it examines whether a positive excess NWC reduction translates into corporate investments (CI).