Corps de l’article

Traditionally, the corporate finance literature has studied long-term financial decisions like investments, capital structure, company valuation or dividends… However, management of short-term assets and liabilities deserves a careful analysis since the working capital management has an important effect on the firm’s profitability as well as its risk (Smith, 1980). In general, the manager of business entity considers that working capital management ensures the ability of the company to fund the difference between short term assets and liabilities (Harris, 2005). Actually, working capital management covers all the company’s activities relating to supplier, customer, product (Hall, 2002). Consequently, to minimize risk and to improve the overall performance, financial executives have to monitor continuously each of working capital components, i.e., receivables, inventories and payables.

An optimal level of working capital management would be reached by achieving a balance between liquidity and profitability. In fact, if the company adopts a working capital management policy with an excessive level of current assets, the risk of liquidity may be reduced. Conversely, the company bears the opportunity cost of funds that may have been invested in long term assets.

Though the effect of working capital management on profitability is important, only a few empirical studies have been conducted to observe this relationship. All the existing papers use data from the US (Filbeck and Kreuger, 2005) and Europe (Deloof 2003; Lazaridis and Tryfonidis, 2006 and Uyar, 2009). Hence, researchers have almost focused on large companies operating in developed countries. Lessons from these studies are not directly applicable to an emerging market economy like Tunisia[1]. In fact, Tunisian companies are relatively small sized and rely greatly on internal financing, short term debt and trade credit to finance their working capital requirement (Saccurato, 1994 and Chittenden and al., 1998). Particularly, they are characterized by short liquidity and a high level of current assets. They adopt an informal working capital management which may increase the probability of their default[2].

Even if working capital management concerns all businesses, it is more important for small and medium-sized export companies. In fact, they must be able to face international changes and competition especially in the context of the financial crisis that has spread from 2007 and continued to date[3]. Besides, not only the lack of timely and appropriate working capital does present additional costs but also an internal barrier for export activity. Thus, small and medium-sized export companies in Tunisia must pay more attention to manage their working capital.

Keeping this in view, this study is the first attempt to identify the impact of working capital management on corporate profitability from a Tunisian dataset. In addition to this contribution of this paper, the econometric approach is based on panel data analysis to control Tunisian export SMEs in both individual and temporal sides.

The paper is organized as follows. Section two briefly provides the literature review and the hypotheses. Section three describes the methodology adopted. Section four exposes the findings. Finally, section five presents the conclusion.

Literature review and derivation of hypotheses

Working capital management is the management of company’s short-term assets and short term liabilities (Deloof, 2003). It intends to guarantee the sufficient ability of the company to continue its activity and to face operational expenses. More explicitly, the working capital is the investment required from the time lag between the purchase cost of raw materials and the sale of finished products. Its management involves accounts receivable and payable, inventories and cash. Thus, the non synchronous nature of flows makes managing working capital essential for understanding liquidity needs.

In this section, the literature for the relevant theoretical and empirical research on working capital components (inventories, accounts payable and receivable) and their effects on corporate profitability is first exposed. Then, existing literature on the influence of the liquidity on corporate profitability is presented. On the basis of this overview, testable hypotheses are derived.

The interaction between working capital management components: The vector of enhancing profitability

The crucial factor of working capital management concerns the management of inventories, accounts receivable and payable. As stressed by Ganesan (2007), working capital management must provide an efficient mix between working capital components to ensure the capital adequacy of the company.

Inventory and corporate profitability

In the sphere of inventory managing, the company aims to hold a minimal acceptable level of inventory with regard to its costs (Toomey, 2000, Guariglia and Mateut, 2006). Indeed, maintaining a large inventory implies using capital to finance it and to cover different costs (transport, insurance, storage, obsolescence, spoilage…) (Long and al., 1993; Deloof and Jegers, 1996). However, keeping a low inventory level may lead to lost sales and stock-out (Deloof, 2003). Thus, inventory flexibility is the crucial dimension in the supply chain management (Koste and Malhotra, 1999)[4]. It reflects the ability of the company to include customer’s demand fluctuation on time and quantity into the planning cycles. Such practice requires an effective coordination between the company and its suppliers, especially in case of an increasing demand. Consequently, inventory flexibility must be observed from an integrative perspective. Robinson and al. (1986) argue that inadequate inventory planning is the major source of SME failure since the incapacity to send required goods to customer handicaps the company’s long-run viability.

From an empirical view, Deloof (2003) points that managers of Belgian firms can enhance profitability and create value for their shareholders by decreasing the period of turning raw materials into cash. Similarly, Gaur and Kesavan (2006) propose a model explaining inventory behavior of retailing companies. They found that inventory turnover is negatively associated with gross margins. Recently, Ganesan (2007) advocates that short inventories allow American companies operating in telecommunication equipment to rely less on external financial market. In fact, they may invest daily operation funds in growth projects.

This discussion yields the following hypothesis:

H1: More profitable Tunisian export SMEs maintain low level of inventory.

Accounts payable and corporate profitability

Based on trade credit theory, suppliers collect additional information over traditional financing channels. Accordingly, trade credit is a cheaper substitute to bank credit (Petersen and Rajan, 1994). Besides, by delaying payments to suppliers, the manager allows the firm to beneficiate from a flexible source of financing and a low probability of receiving poor quality materials.

Conversely, trade credit deprives the company of early payment discount which can be considered as an implicit cost. Thus, the company uses credit from suppliers when other financing sources are not available. Furthermore, trade credit may damage the company reputation in case of non payment of the supplier. According to those disadvantages related to lengthening the payable period, Deloof (2003) and Lazaridis and Tryfonidis (2006) find a negative relationship between profitability and the number of days of accounts payable. This result is consistent with the view that more profitable companies pay their bills in a short period.

This discussion yields the following hypothesis:

H2: Less profitable Tunisian export SMEs wait longer to pay their suppliers.

Accounts receivable and corporate profitability

Accounts receivable are an important component of the current assets. As a result, any change in their magnitude can influence the financial viability of the company. Trade credit decision depends on many factors such as: market competition, offered goods or services, price, customer…Moreover, as pointed by Grzergorz (2008), the decision of granting trade credit is a compromise between limiting the risk resulting from untrustworthy buyers and gaining new customers. Therefore, it is imperative for the company to consider the customer’s capabilities in trade credit decision.

A flexible trade credit policy with an interest on receivables may increase sales (Long and al., 1993; Deloof and Jegers, 1996). However, such practice can be expensive due to the lock up of money in working capital (Guariglia and Mateut, 2006). Besides, if the manager chooses to reduce the accounts receivable, he limits sales through credits to customers. Then, this strict collection policy leads to loose purchasers and reduces profits. In this respect, Pike and Cheng (2003) stressed that working capital management looks for creating a high quality accounts receivable portfolio in order to improve corporate value.

Evidence provided by Deloof (2003) shows a significant negative relationship between gross operating income and the period that the company takes to receive payment on accounts receivable. Recently, Ganesan (2007) supports that long receivable cycle makes telecommunication equipment American companies more dependent on external financing.

This discussion yields the following hypothesis:

H3: Less profitable Tunisian export SMEs spend more time in receiving payment from customers.

Liquidity and profitability: the dilemma in working capital management

Apart from the efficient mix between working capital components, the fundamental role of working capital management is maintaining the company’s liquidity in day-to-day operation. Thus, working capital decision is time consuming, intermittent and recurring. Besides, its management depends on information production, transaction costs and available resources and varies across industries (Filbeck and al., 2007). It involves the planning and the control of current assets and current liabilities.

Current assets contain all assets that are converted to cash within a short timely basis. The company’s liquidity depends on the operating cash flows generated by those assets and not their value (Rahman and Nasr, 2007). However, current liabilities include obligations that the company has to pay in a short period of time.

The current assets should cover the current liabilities to provide a margin of security. If the company is unable to match properly current assets and current liabilities, it will face financial distress and bankruptcy (Zariyawati and al., 2009). As argued by Beaver (1966) “the firm is viewed as a reservoir of liquid assets … The solvency of the firm can be defined in terms of the probability that the reservoir will be exhausted, at which point the firm will be unable to pay its obligations as they mature” (p. 80).

Liquidity and profitability are the main financial issues for all types of businesses. Smith (1980) suggests that the management of working capital affects these two aspects. Beaumont and Begemann (1997) particularly emphasize that understanding the link between profitability and working capital facilitates the comprehension of the relationship between liquidity and profitability. Indeed, if the company does not have an adequate working capital to sustain sales activity (purchase the materials, pay expenses…), it will face problems of insolvency.

Referring to the theory of risk and return, more risky investment leads to more return (Eugene and Michael, 2008). Put differently, low liquidity would decrease the company’s risk and profitability simultaneously. In other words, the decrease of profitability can be explained by the opportunity cost of funds invested in long-term assets (Kalcheva and Lins, 2007, Dittmar and Mahrt-Smith, 2007).

However, excess of liquidity indicates inefficient funds and negatively influences the corporate profitability (Cooper, 2003 and Vishnani and Shah, 2007). Thus, the balance between profitability and liquidity is the dilemma of working capital management. In assessing the profitability-liquidity trade-off, three basic assumptions are presented by Pramod and Khan (2007):

  • The company operates in the manufacturing sector (the trade cycle is relatively longer than the service cycle).

  • Fixed assets are more profitable than current assets;

  • Long-term funds are more expensive than short-term funds.

To find out the relationship between efficient working capital management and company’s profitability, Shin and Soenen (1998) used the cash conversion cycle as a measure of the length of time between the purchase of raw materials and the collection of accounts receivable. They found that a long cash conversion cycle negatively influences the corporate profitability. They suggest that the company can create shareholder value by reducing their financial needs with regard to liquidity.

The result of Shin and Soenen (1998) was consistent with the finding of Deloof (2003) who concludes to a negative relationship between gross operating income as a measure of the profitability and the cash conversion cycle. Recently, Eljelly (2004) reports a negative relationship between profitability and liquidity. He considers that planning the level of current assets and current liabilities avoids the firm excessive short – lived investments and neutralizes the risk of its incapacity to pay obligations.

This discussion yields the following hypothesis:

H4: The amount of liquidity generated by Tunisian export SMEs negatively influences their profitability.

The theoretical review and studies presented above and synthesized in Table 1 give results and conclusions on working capital management for different countries. In the next section, the methodology conducted on the same area for Tunisian export SMEs is exposed.

Table 1

Summary of main studies on working capital management

Summary of main studies on working capital management

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Methodology

In this section, the companies included in the sample, the variables used and the statistical techniques applied in the investigation are presented.

Data collection and sample characteristics

The data were collected from Tunisian Export Promotion Center (CEPEX)[5] and are based on the financial statements of small and medium-sized export companies in Tunisia[6]. The yearly data of good sales’ costs, receivables, payables, inventories, and operating incomes are extracted from the financial states and have been manually entered into the database of STATA software.

The quota method is used to make a more representative sample of the population of Tunisian export SMEs. Thus, the distribution of this population by sector of activities was replicated. The sample is composed of 386 export Tunisian SMEs observed from 2001 to 2008. This period corresponds to a mix of Structural Adjustment Plans[7] and reflects the continuity of economic reforms (incentives to exports, subventions to exporting companies….) and policies likely to promote exports and to consolidate the share of Tunisia on foreign markets.

As shown in Table 2, the panel is mainly composed of limited liability companies (67.8%). The limited corporations represent only 32.2%. 20.2% of companies in the sample export over 50% of their products towards four foreign markets (U.S, Asia, Europe and Arabic Maghreb union). 53.2% employ less than 50 workers. Thus, they are considered as small and medium-sized companies[8].

Table 2

Sample description

Sample description

(n=386)

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Table 3 shows the distribution of Tunisian export SMEs by industry. Specifically, 136 companies work at the food industry, 96 product construction materials, 104 run textile business, 24 operate in metal industry and 22 have a service activity. The null hypothesis of the test of homogeneity is verified. It implies that the population and the sample have homogeneous distribution among the five sectors of activity at the confidence level of 95%.

Table 3

Distribution of SMEs by sector of activity and homogeneity test

Distribution of SMEs by sector of activity and homogeneity test

* Data from CEPEX – Statistics of 2008

** Expected number = Sample size X (percentage)

Chi (2) calculated = ∑ (residues)2/ Expected number

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Variables of the analysis

In order to identify the influence of working capital management on the profitability of Tunisian export SMEs, the following measure of the dependant variable is retained:

GOPit: The corporate profitability is measured by the gross operating profit. It is calculated by subtracting cost of goods sold from total sales and divided by total assets minus financial assets (Deloof, 2003). Contrary to the use of earnings before interest tax depreciation and amortization (Ramachandran and Janakiraman , 2009), the financial activity is separated from operational activity to associate operating results with the operating variables relating to working capital management.

The independent variables included in the study concerning the working capital management are:

DSOit: The collection policy is reflected by the days of sales outstanding and measured by [accounts receivable x 365]/sales. A low DSO shows that the company collects its accounts receivable in few days. A high DSO means that the company sells its product to customers by credit (Petersen and Rajan, 1997).

Companies may improve collection process by offering discounts to customers who reimburse immediately. Alternatively, they may charge interest for the one who pays later. As noted by Pike and Cheng (2003), a high quality portfolio of accounts receivable has significant implications for corporate value. In fact, the increase of accounts receivable implies management expenses and additional working capital, both of them decrease the value of the company.

DIOit: The inventory policy reflected by the days of inventory outstanding is measured as [inventories x 365]/cost of sales. When the company maintains a moderate level of inventories it can respond to higher demand. This can be improved by the synchronization between raw materials delivery by suppliers and the need in the production process (Deloof, 2003). Thus the low level of inventories will have a positive effect on profitability since it will liberate working capital resources (Lazaridis and Tryfonidis, 2006).

DPOit: The payment policy is measured by the days of payable outstanding. It is calculated as [accounts payable x 365]/purchases. Generally, delaying reimbursement to suppliers helps the company in releasing additional resources and enhancing working capital management (Uyar, 2009). However, prompt payment of suppliers allows the company to receive a significant discount (Deloof, 2003).

CCCit: The Cash Conversion Cycle is a comprehensive measure of working capital and a dynamic view of liquidity. It presents “the time lags between expenditure for the purchases of raw materials and the collection of sales of finished goods” (Padachi, 2006, p. 49).

In the literature, many definitions of cash conversion cycles are used. For instance, Bodie and Merton (2000) consider “the number of days between the date the firm must start to pay cash to its suppliers and the date it begins to receive cash from its customers” (P. 89). Eljelly (2004) defines the cash gap as “the length of time between actual cash expenditures on productive resources and actual cash receipts from the sale of products or services” (P. 50). In this study, the measure of Keown and al. (2003), Deloof (2003) and Uyar (2009) is used. These authors express cash conversion cycle with the following equation:

Cash Conversion Cycle (CCC)
=
Days of Sales Outstanding (DSO)
+
Days of Sales in Inventory (DIO)
-
Days of Payables Outstanding (DPO)

A positive cash conversion cycle indicates the number of days a company must be waiting the payment from its customer. However, a negative result shows the number of days a company has before paying its suppliers (Hutchison and al., 2007). A shorter CCC reflects an efficient cash flow management.

The export dimension is considered through these variables:

EXPRit: The experience is measured by the number of years that a company has in export activity. As the company matures, it may build its capabilities to compete in the international market. However, younger companies may be more flexible and proactive in facing foreign customers (Lefebvre and Lefebvre, 2001). Tunisian export SMEs are expected to exhibit a low profitability during the first years of export activity.

MARKTit: The number of foreign markets is an ordinal variable. It takes the value 1 if the company exports to one foreign market, 2 if it exports to two markets, 3 if it exports to three markets and 4 if it exports to four markets. The companies retained in the sample export principally to US, Asia, Europe and Arabic Maghreb union. They use many techniques in selecting export target markets such as systematic and formalized international market research activities, visits of foreign markets before entry, exploitation of published information about differentiating foreign markets…(Yip and al., 2000). When the Tunisian export SME is able to enter more markets it may export a large share of its products and then enhance its profitability.

INTSTYit: The intensity of export is defined as the ratio of export sales over total turnover (Lu and Beamish, 2006). Two dimensions of firm level export performance have been used in the previous studies: export propensity and export intensity. Export propensity is more prominent in the literature[9]. It is defined as whether or not a company is an exporter. As explained by Helpman and al. (2008), export intensity and export propensity decisions are simultaneously taken by the company. In this investigation, export intensity is retained to highlight the participation of the company in the foreign markets. Thus, Tunisian export SMEs will be more efficient if they have a high level of export intensity.

Figure 1

The cash conversion cycle

The cash conversion cycle
Source : Jordan, 2003, p.643

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The other dependent variables related to the characteristics of Tunisian export SMEs are:

CRit: The current ratio is calculated by the ratio of current assets on current liabilities. Working capital management implies the determination of the amount and the composition of current assets and their financing. A high current ratio means an important investment in current assets which represents a low return on investment (Vishnani and Shah, 2007).

SIZEit: The size of the company is measured by the log of sales in million Tunisian dinars (TND) (1USD = 1.3169 TND). Financial and organizational constraints faced by small companies may restrict their available resources to invest in working capital management (Howorth and Westhead, 2003). Thus, larger companies are more able to reduce cash gaps which may enhance their profitability (Raheman and Nasr, 2007).

DRit: The debt ratio is measured by the ratio of the sum of short and long term loans on total assets. It presents the proportion of company’s debt relatively to its assets. It gives an idea about the leverage of the company and its potential risks. A high level of debt ratio indicates low financial health of the company and its inability to rely on its internal funds (Bellouma and al., 2005). Therefore, companies with an important debt ratio are expected to have a low level of profitability (Raheman and Nasr, 2007).

SECTRit: The sector is a dummy variable with five modalities: Sectr it 1 = 1 if the company belongs to the food industry and 0 otherwise, Sectr it 2 = 1 if it operates in construction sector and 0 otherwise, Sectr it 3 = 1 if it has metal trade and 0 otherwise, Sectr it 4 = 1 if it works in textile industry and 0 otherwise and Sectr it 5 = 1 if it provides a service and 0 otherwise (this modality is eliminated from the estimation because it represents the reference modality). These sectors can influence the company decision about working capital management and practices. In fact, the current assets of a distribution company are very important compared to the manufacturing company (Deloof, 2003). Besides, the economic environment (the production factors, the production process, supply and demand, taxes, interest rate…) influences differently the profitability of the company according to the sector in which it operates.

Data analysis and results

To understand the relevant aspects of working capital management, a descriptive analysis is conducted. Table 4 reports the average, the standard deviation, the minimum and the maximum values of the variables included in the study.

Table 4

Descriptive statistics

Descriptive statistics

N. OBS = 3055

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The mean value of gross operating profitability is 13.8%. For the sample at hand, the value of the profitability can deviate from the mean by 1.3%. The minimum gross operating profitability is 10.51% while the maximum is 17.75%. All the companies under studies have a positive profitability. Thus, it seems interesting to see whether this characteristic is due to the working capital management practices or can be explained by the concern of the Tunisian government to support export companies.

The cash conversion cycle appears sometimes negative and sometimes positive (the minimum is -52 days and the maximum is 397 days). To be efficient, the company must have the lowest cash conversion cycle and if possible a negative one. Thus, exporters may spend ample time and effort to search partners in the target market. They have to build relationships in foreign markets and to reinforce them in order to reduce their cash conversion cycle.

In the sample, small and medium-sized Tunisian export companies collect their cash from receivables after an average of 100 days with a standard deviation of 41 days and a minimum of 16 days. Besides, they pay their purchases after an average of 98 with a deviation of 38 days and a minimum of 26 days. They take an average 79 days to convert inventory into sales with a deviation of 21 days and a minimum of 32 days. As observed, the companies in the sample follow a flexible collecting policy in order to capture foreign customers. However, they are unable to postpone payment to suppliers due to their small and medium size. In fact, the mean value of the company size is 0.88 with a standard deviation of 0.49. The minimum value is -0.41 and the maximum value is 2.33.

The average current ratio of Tunisian export SMEs is 0.22 and divert from this mean value to both sides by 0.006. The lowest current ratio for a company is 0.04 times. The average of debt ratio is 38.28% with a standard deviation of 13.5%. The minimum level of debt is 10% which explains the incapacity of Tunisian export SME to access to external financing. This result can also reflect its repugnance to rely on bank credit since it is in general a family business.

When considering the export dimensions, it is noted that on average the companies included in the sample have considerable export intensity. In fact, they sell 32.21% of their output overseas. Summary statistics on export markets shows that an exporter has access to two countries only. Finally, the companies have, on average, an important length of export experience (8.667 years) with a minimum of two years which reflects their knowledge regarding exporting activities.

After presenting the descriptive statistics of the variables considered in the analysis, these variables are subjected to correlation measurement. Pearson’s correlation analysis allows the identification of the relationship between working capital management and the corporate profitability.

Table 5 illustrates that there is a negative relationship between gross operating profitability and the cash conversion cycle (-0.0382). This is consistent with the idea that the insufficient level of liquidity makes the export company unable to cover the different costs. In this context, any liquidity shock on the foreign market will influence the exporting company abilities to face competition. Thus, the decrease of the time lag between purchases expenses and sales collection enhances the company’s profitability.

Table 5

Pearson’s Correlation Coefficients

Pearson’s Correlation Coefficients

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Pearson correlation result indicates that cash flows locked in inventory may adversely affect profitability (-0.0408). By considering this finding, it appears that Tunisian export SMEs can improve their profitability by reducing the period of selling their inventory. Exporting companies bear additional costs due to transport costs, foreign regulations or adoption of products. Therefore, these costs are one reason for maintaining an adequate inventory to cover the eventual demand. As pointed by Bougheas and al. (2009), the corporate profitability might increase if the benefits of keeping low level of inventory rise faster than related costs. This result is coherent with the positive link between the days of inventory outstanding and the cash conversion cycle (0.4353). In other words, export companies that turn their input to sales slowly have a long inventory cycle. Thus, they must cover this cycle by additional funds which explains the deterioration of their profitability.

In addition to that, Pearson’s correlation presents a positive relationship between the days of sales outstanding and the cash conversion cycle (0.5927). This means that Tunisian export SMEs provide more time for their customers to assess the quality of their products because of the competitive international environment. Thus, spending more time to collect cash will increase the time of working capital.

The debt ratio is positively linked to the corporate profitability which suggests that levered companies are more efficient. Indeed, to get access to external credit companies acquire a healthy financial situation. The monitoring exerted by stakeholders may improve the efficiency of the companies due to their capacity of collecting information and minimizing adverse selection and moral hazard problems (Bellouma and Omri, 2008). Besides, facilities provided by Tunisian banks help exporters suffering from internal liquidity to fulfill orders.

The increase of the size of the company improves its profitability. This may be explained by the information opacity of small companies and their informal management. Thus, large exporters are able to stabilize cash flow problems and to grow competitively in the foreign market.

From the export dimension view, the export intensity of a company is significantly correlated with its export experience. Indeed, large export experience in offshore markets enhances the company’s reputation and leads to increase its share of export sales.

Finally, it is worth noting that all the working capital components are negatively related to export intensity. This negative correlation shows that turning inventories into a cash flow requires usually many steps related to the type of industry (storage, manufacturing and distribution). Those steps lead to a long cash conversion cycle and may handicap the transactions of the company and the level of its sales.

In order to capture the impact of working capital management on the profitability of Tunisian export SMEs, a regression analysis on panel data is used. Contrary to cross section or time series data, panel data allows the detection of dynamics effects of working capital management on profitability. The model applied for each sector is as follows:

Equation (1) is transformed into a vector form:

Before estimating the model, the homogeneity or heterogeneity of the data is checked. Econometrically, the equality of the coefficients of the model studied is tested to verify if the model is perfectly identical to all companies, or inversely, each one has its own specificities.

In order to distinguish between these cases and validate the use of panel structure, the following procedure presented by Hsiao (1986) should be employed:

In the first step, the null hypothesis of equal constants and coefficients (perfectly homogeneous structure) is tested:

equation: 1814064n.jpg

equation: 1814065n.jpg

The classical Fischer test[10] is used. The results of the test are:

  • If H10 is accepted, the pooled model is perfectly homogenous:

  • If the null hypothesis H10 is rejected, the second stage (the heterogeneity comes from coefficients) has to be checked.

    Let F1 the statistic associated to H01

equation: 1814068n.jpg

Where SSR1,c is the sum of squared residuals of the constraint model (3) and SSR is sum of squared residuals of equation (2). If calculated F1 statistic is higher than theoretical value, the null hypothesis of homogeneity is rejected.

STATA directly provides the p-value of the test. The results obtained in Table 6 show that p-value of the data is lower than critical value of 5%. Then, the null hypothesis of homogeneity is rejected. By rejecting the null hypothesis H10, the second stage of the process of Hsiao (1986) is tested. Principally, the null hypothesis of equal coefficients βi is verified:

equation: 1814070n.jpg

equation: 1814071n.jpg

Table 6

The results of Hsiao’s test by sector

The results of Hsiao’s test by sector

Statistic: Fisher between parentheses

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The statistic F2 calculated in Table 6 indicates that the null hypothesis H20 may be accepted[11]. Thus, the panel structure can be adopted and the equality of αi will be tested in the third step of the process of Hsiao (1986) under the hypothesis of βi= β:

equation: 1814073n.jpg

equation: 1814074n.jpg

The results of the statistic F3 presented in Table 6 show that the p-value of the data is lower than critical value of 5%. Then, the null hypothesis H30 is rejected and the individual effects should be introduced in the model.

The correlation between the dependant variable (GOP) and the individual effect of each company ui may be checked. In case of correlation, the fixed effect model is more appropriate to generate consistent estimation by the within group estimator. Otherwise, the random effect model is used to obtain efficient estimators by means of generalized least squares (Greene, 2003). The generally accepted strategy of choosing between fixed and random effects is running a Hausman test (1978) under the null hypothesis E (αi/xit) =0. If the null hypothesis is rejected, the effects are considered fixed. However, if it is accepted, the effects are random.

As illustrated in Table 7, the fixed effect model is more appropriate to estimate the data of food industry, construction and metal retail when DPO is the exogenous variable. However, the random effect model may be considered for the other regressions related to metal retail (when DSO, DIO and CCC are the exogenous variables), textile and service sectors.

Table 7

The results of Hausman’s test for each specification by sector

The results of Hausman’s test for each specification by sector

Statistic: Chi2 (7) between parentheses

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By introducing the working capital components one by one, it is noted that days of inventory outstanding are negatively linked to the corporate profitability (significance at level 1%). Thus, a supply chain with a high level of inventory is in position to decrease the profitability of Tunisian export SMEs working in food industry, construction, metal retail and textile. This finding is consistent with the first hypothesis.

Particularly, Tunisian export SMEs have to conciliate between inventory costs and response time to their customer in order to face foreign environment. In this study, the results show that regardless of the particular nature of each sector, inventories must be handled at a minimum level to be effectively and efficiently managed. In other words, given the volatile nature of foreign demand, Tunisian export SMEs must continually be alerted to unpredictable difficulties. Cf table 8 and 11.

Table 8

Regressions’ results for food industry (Nbr. OBS: 1088)

Regressions’ results for food industry (Nbr. OBS: 1088)

FE: Fixed Effect Model / Statistic t between parentheses

RE: Random Effect Model / P- value between parentheses

*** Significance at 1% . ** Significance at 5% . Significance at 10%

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Table 9

Regressions’ results for construction industry (Nbr. OBS: 768)

Regressions’ results for construction industry (Nbr. OBS: 768)

FE: Fixed Effect Model / Statistic t between parentheses

RE: Random Effect Model / P- value between parentheses

*** Significance at 1% . ** Significance at 5% . Significance at 10%

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Table 10

Regressions’ results for Metal retail industry (Nbr. OBS: 192)

Regressions’ results for Metal retail industry (Nbr. OBS: 192)

FE: Fixed Effect Model / Statistic t between parentheses

RE: Random Effect Model / P- value between parentheses

*** Significance at 1% . ** Significance at 5% . Significance at 10%

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Table 11

Regressions’ results for Textile industry (Nbr. OBS: 832)

Regressions’ results for Textile industry (Nbr. OBS: 832)

FE: Fixed Effect Model / Statistic t between parentheses

RE: Random Effect Model / P- value between parentheses

*** Significance at 1% . ** Significance at 5% . Significance at 10%

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From the results of the regressions presented in Table 8 and 11, it is noted that longer days of payables outstanding negatively affect the corporate profitability which is consistent with the second hypothesis. The models are statically significant when considering food industry and textile (significance at level 10%, 1% respectively). This negative relationship between the accounts of payable and the corporate profitability implies that most profitable companies reimburse their bills quickly and take advantage from the early payment discount. However, unprofitable ones postpone payment to suppliers since they generate less cash from their operation. Cf table 8, 9, 10, 11 and 12

Table 12

Regressions’ results for Service sector (Nbr. OBS: 176)

Regressions’ results for Service sector (Nbr. OBS: 176)

FE: Fixed Effect Model / Statistic t between parentheses

RE: Random Effect Model / P- value between parentheses

*** Significance at 1% . ** Significance at 5% . Significance at 10%

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As shown by all the regressions, the number of days of sales outstanding is negatively linked to the corporate profitability as expected by the third hypothesis. This result indicates that managers can improve profitability by decreasing the credit period granted to their customers. This finding is inconsistent with the predictions of trade-credit theory and implies that companies offer shorter trade credit as an instrument to boost profitability. In fact, when small and medium-sized Tunisian export companies transform their sales into cash in a short period, they may enhance their profitability. In others words, high quality of the portfolio of accounts receivable improves the corporate value. Thus, Tunisian export SMEs have to assess the foreign market by collecting sufficient information about the behavior of the customers. Indeed, export sales differ from domestic ones because of transactions with foreign agents, transport expenses and insurance costs.

The above discussion treats the three components of working capital one by one. In order to have a more precise idea about working capital management and its effect on corporate profit, it is interesting to consider them jointly. That is the cash conversion cycle is included as an independent variable to measure the level of the company’s liquidity. This variable is negatively related to the profitability of the companies operating in food industry, construction, metal retail and textile with the significance level of 1%. Thus, shorter cash conversion cycle may increase profitability because it implies a higher level of liquidity. The result is incoherent with the fourth hypothesis but it is driven by the strict receivable and inventory policies of Tunisian export SMEs. More precisely, the aggressive working capital management resulting from limiting the cash conversion cycle and hence the time that the cash is tied up in working capital improves the company’s profitability. From this finding, efficient working capital management relies on speeding up liquidity collections and maintaining a short inventory. Cf table 8, 9, 10 and 11

Regarding the other variables included in the study, debt ratio is positively related to the corporate profitability in food industry, construction, metal retail and textile sectors. Thus, this result holds that profitable Tunisian export SMEs use debt to save taxes by deducing interest costs. Therefore, the leverage level can be used like a signalizing tool to expect the financial health of the company and its capacity to contract credits. Also, it may be informative about the efficient use of the credit granted. Cf table 8, 9, 10, 11 and 12

Moreover, all the regressions show that larger companies have an important gross operating profitability with a very high level of significance (1%). More precisely, a large-sized company is able to adopt suitable export structure with the requirements of international trade by reducing costs due to the advantages of economies of scale, experience and reputation.

Concerning the export dimension, both the export intensity and the number of foreign market seem to have positive effect on corporate profitability. The Tunisian Government initiative through ground level knowledge of overseas markets is detected to be very important for small and medium companies in food industry, metal retail, construction and textile sectors (coefficients with significance level of 1%). More precisely, the Tunisian governmental institutions intervene at the company’s level to facilitate exporter’s entry to new foreign markets. The exporter has to target the best foreign market and to focus on specific opportunities after evaluating regulatory problems, standards, cultural sensitivities, distribution channels, pricing, competitors, transportation, insurance or stocking costs.

Particularly, the high export intensity may result from the negotiation ability of Tunisian export SMEs with foreign customers. If the positive impact of export intensity is related to the collection policy, then the capacity of the Tunisian export SMEs in limiting the days of sales outstanding increases the share of export and boosts the profitability. Globally, the positive relationship between the export performance (measured by the export intensity and number of markets) and profitability implies that companies in emerging economies like Tunisia have to sell goods overseas in order to respect international norms and managerial rules as a strategy to improve their performance.

Conclusion

The present study investigates the impact of working capital management on profitability of 386 small and medium-sized export companies in Tunisia observed from 2001 to 2008. This relationship has been examined using panel data regression models. I find a negative relationship between gross operating profitability and the days of sales outstanding, the days of inventory outstanding, the days of payable outstanding and the cash conversion cycle. The results of the fixed and the random effects model suggest that Tunisian export SMEs must reduce the number of days of accounts receivable and inventory to improve their profitability. In fact, it seems more interesting to finance growth strategies with the additional funds instead of investing them in inventory or receivable. The negative correlation between the days of payables outstanding and the corporate profitability is consistent with the view that less profitable companies postpone the payments of their bills than more profitable ones. Thus, the first category of companies neutralizes the risk of incapacity to meet obligations but at the same time may verify the quality of the products received.

Apart from the effect of the three components of working capital management on the corporate profitability, I find a negative relationship between the cash conversion cycle and the profitability of Tunisian export SMEs. This shows that a longer cash conversion cycle will hurt the profitability since a low level of liquidity affects the company’s risk.

In addition to these factors, the role played by export measures in the success of the company is clearly identified. In fact, the export intensity and the number of foreign markets positively influence the corporate profitability.

The results obtained show that efficient working capital management enhances the value of the company. Therefore, managers can create profits for their companies by keeping accounts receivable, accounts payable and inventories to a suitable level. Besides, Tunisian export SMEs are advised to get adequate working capital to enhance their profitability and international competitiveness.

On the whole, even if this analysis emphasizes the consequence of working capital management on the corporate profitability, it has been constrained by the retained variables. Thus, the nature and the role of social interactions between suppliers and buyers should be captured by means of more detailed variables. Besides, different cultural aspects may be introduced in order to enhance export transactions and working capital management.