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Adopting the Hirschman–Herfindahl Index to estimate the financial sustainability of Vietnamese public universities



Over several decades, the Vietnamese government has increasingly cut its investment in the public higher education system and has also introduced a cost-sharing mechanism. Under this scheme, Vietnamese public universities have been seeking other sources of revenue. Despite the bold emphasis on the need for revenue diversification in higher education in Vietnam, there is little empirical evidence of the status quo of Vietnamese public higher education finance. The purpose of this paper was to fill this research gap by using the Hirschman–Herfindahl Index to estimate the degree of financial diversity in 51 public universities in Vietnam between 2015 and 2017. Our findings revealed that all institutions in this study were unsustainable due to their weak financial diversity. Suggestions for policy makers and university leaders that may enhance financial sustainability include the adoption of performance-based financial allocations and the implementation of capacity-building programs for universities with regard to fund-raising and entrepreneurship skills.


Previous decades have shown a steady shift in higher education finance policies across the world, from fully free higher education to cost-sharing systems (Woodhall, 1988; Heller and Rogers, 2006; Finney, 2014; Pham and Vu, 2019). University costs are now shared by a variety of stakeholders including governments, students, parents, industries, and donors. Higher education has become a quasi-market and universities are tending to behave like private firms (Marginson, 2013). Universities are now more active in seeking sources of revenue other than public funding. Thus, the degree of financial diversification reflects the health or sustainability of higher education institutions (De Dominicis et al., 2011; Garland, 2020).

Vietnam is not immune to the trend described above. Since the first cost-sharing scheme was introduced in 1997 (Vietnamese Government, 1997), the Vietnamese government has implemented a number of direct and indirect cost-sharing-linked regulations and programs, including allowing universities to levy tuition fees from students (Vietnamese Government, 2010); launching a national student loan scheme (Prime Minister, 2007); encouraging donations/philanthropy (Ministry of Education and Training, 2018) and technology transfers (Vuong, 2018; Vietnamese Government, 2018).

An emerging theme that has arisen in public discourse is the question of the financial sustainability or financial health of the Vietnamese public higher education system. For instance, talking to local media, the Minister of Education, Phung Xuan Nha, warned that Vietnamese higher education institutions that are over-dependent on tuition fees and state subsidies may face many risks (Phung, 2019). In the same vein, Bui (2019) argued that successfully accessing revenue other than public subsidies has become a crucial part of the sustainable development of higher education institutions in Vietnam.

Despite the emphasis on the need for revenue diversification in current higher education practice in Vietnam, there is little empirical evidence of the status quo of Vietnamese public higher education financing. Thus, the purpose of this paper was to fill the above research gap by using the Hirschman–Herfindahl Index (HHI) to estimate the degree of financial diversity of 51 public universities in Vietnam between 2015 and 2017. The HHI is a well-established measurement, which has been widely employed to measure the degree of diversification of financial revenue of organizations, ranging from the private sector to the public sector (Suyderhoud, 1994), the non-profit sector and higher education (Carroll and Stater, 2009; Calabrese, 2012; Mayer et al., 2014). Using the HHI, we expected to obtain a preliminary picture of the financial health or financial sustainability of public higher education in Vietnam. Our study was similar to others that also aimed to compute the degree of financial health or financial sustainability in higher education in other countries, such as England (see Garland, 2020) and other European countries (De Dominicis et al., 2011).

The paper is organized as follows. In the next section, the literature review, the need for diversifying revenue sources for public higher education institutions, from elite to massive higher education in Vietnam, governmental expenditure on higher education, and cost-sharing policies in higher education are discussed. Subsequently, a brief description of the present study, including an introduction to the HHI and data collection methods is provided. The “Results” section presents our estimations, using the HHI in a range of scenarios. The paper ends with a discussion and conclusions.

Literature review

The need to diversify revenue sources for public higher education institutions

Traditionally, public universities received full financial support from the government, and students undertook their higher education free of charge. However, a gradual decrease in government funding for public higher education has occurred worldwide over the past few decades (Tandberg, 2010; Joaquim and Cerdeira, 2020). This change means that cost-sharing policies or the need for public universities to seek other sources of income, such as tuition fees, donations, and knowledge transfer services, have become necessary for public universities to maintain their operations (Ayalew, 2013; Yip et al., 2020). The concept of cost-sharing has appeared in the higher education reform agendas of many countries, including European nations and the US (Clark, 1998; Etzkowitz et al., 2000) and developing/emerging countries such as Jordan (Kanaan et al., 2011). Compared to public universities in developed countries, public universities in developing/emerging countries are under higher pressure to engage in cost-sharing, partly because developing and emerging governments are facing more budget constraints than their counterparts in the developed world (World Bank, 2000).

From elite to massive higher education in Vietnam

The Vietnamese education system witnessed dramatic growth in the late 1980s, along with Doi Moi (Renovation) (Pham and Vuong, 2019). In 2018, Vietnam had 236 higher education institutions, of which 171 were public universities and 65 were private institutions (Ministry of Education and Training, 2019). In comparison, in 1987, the elite Vietnamese higher education system had only 101 public universities and no private ones. The number of enrolled students also rose dramatically from 1987 to 2018. In 2018, there were 2,162,106 university students in Vietnam (Ministry of Education and Training, 2019), a 16-fold increase over 1987, when there were only 133,000 students (Pham, 2011). With regard to the Gross Enrollment Ratio for higher education, the figure for Vietnam increased significantly, from 9.5% in 1999 to 28.5% in 2017 (UNESCO, 2020). According to Trow’s (2008) classification of higher education systems, higher education in Vietnam, by the end of the 2010s, was categorized as a massive system.

According to Vuong et al., (2019), Vietnam’s higher education system followed the former Soviet model in which most universities focused on teaching functions rather than research. Contrary to the former model, the current approach regards both teaching and research as indispensable functions of universities (Trinh et al., 2020). However, most universities are still teaching-oriented institutions; and only a few, such as the Vietnam National University-Hanoi, the Vietnam National University-Ho Chi Minh City, and the Hanoi University of Science and Technology, claim to be research-oriented.

Governmental expenditure on higher education

With regard to higher education in particular and education in general, the Vietnamese government has increased its expenditure continuously over the past decade in terms of absolute numbers (Pham and Vuong, 2019). However, this increase has not kept pace with the ongoing massification of higher education. According to recent statistics (see Ministry of Education and Training, 2019; World Bank, 2019), the governmental expenditure per student in Vietnam as a percentage of GDP per capita ranged from 21.3% to 30.5%. Due to public budget constraints, it is anticipated that the Vietnamese government will not be able to raise its current expenditure to further enhance the governmental expenditure per student as a percentage of GDP per capita.

Cost-sharing policies in higher education

From the fully subsidized financing system that applied in the early 1990s, the Vietnamese government now has a cost-sharing mechanism for public universities. According to Pham and Vu (2019), this shift may stem from the massification of higher education as mentioned above. We outline below some key cost-sharing policies in public higher education in Vietnam that have been introduced since the 1990s.

The first agenda for cost-sharing schemes

The initiation of cost-sharing in education has played a key role in the education policy agenda in Vietnam since the 1990s. However, Vietnamese authorities and policy-makers seldom recognize or use the term “cost-sharing” (chia sẻ chi phí in Vietnamese) in legal and official documents. Instead, “socialization” (xã hội hóa in Vietnamese) is used as a euphemistic term to refer to cost-sharing (Pham and Vu, 2019). The “socialization” term was first officially mentioned in the government’s Resolution No. 90/CP in 1997 (Vietnamese Government, 1997). Under the “socialization” scheme, public universities in Vietnam must rely not only on financial allocation from the government but also on other sources such as tuition fees, donations and knowledge transfer. A plausible explanation of the use of the term “socialization” (xã hội hóa) rather than “cost-sharing” (chia sẻ chi phí) lies in Vietnam’s socialist-oriented market economy. Thus, the Vietnamese government developed the new term “socialization” rather than adopting “cost-sharing”, which originated in capitalist economies.

The tuition fee scheme for public higher education

Over the past 30 years, following the scheme of “socialization”, higher education in Vietnam has transitioned from a fully free system to a cost-sharing one in which student fees have become a significant source of university income. By the academic year of 1998–1999, a public university student was required to pay a monthly tuition fee ranging from VND 50,000 to VND 180,000 (US$ 3.60 to US$ 12.95 in 1998), depending on his/her major. Since then, the tuition cap regulated by the government has increased gradually year by year. By the academic year of 2019–2020, the tuition fee at public universities in Vietnam ranged from VND 1,850,000 to VND 4,500,000 (US$ 80.43 to US$ 195.65 in 2019) per month, depending on the student’s major (Prime Minister, 2015).

The National Student Loan program

Similar to many countries across the world, such as the USA and Australia (Salmi, 2001), the Vietnamese government also introduced a loan program for students to ensure accessibility and equality for underprivileged students faced with tuition fees. Following its introduction in 2007, underprivileged students in Vietnam could access the loan program to cover their study costs (Prime Minister, 2007). By 2007, the program allowed students to borrow up to VND 800,000 (equal to US$ 49.91 in 2007) per month with discounted interest rates of only 6% per year (Prime Minister, 2007). The loan limit has been increased gradually since then to keep pace with the inflation rate. By 1 December 2019, the monthly loan limit was VND 2,500,000 (US$ 107.87 in 2019). Between 2007 and 2016, total loans in the program reached over VND 56 trillion and over 3.3 million students had been granted assistance (The State Bank of Vietnam, 2016).

The social and charity funds

Charity funding is also an important source of income in Western countries, which helps to fund both higher education institutions and students (Wharton et al., 2016). In Vietnam, universities are also allowed to receive social and charity funds. Decree No. 30/2012/NĐ-CP (Vietnam Government, 2012) is regarded as the first comprehensive policy that aimed to mobilize donations from society for the higher education sector as well as other public service sectors (Pham and Vu, 2019). This decree includes notable features on tax deductions and student rights when receiving additional state allocations outside of self-fundraising. Although we do not have any statistics available on the Vietnamese universities’ revenues stemming from Social and Charity Funds, anecdotal evidence shows that this type of revenue only contributes a very small share of the total (Pham and Vu, 2019). According to the Institute for Studies of Society Economy and Environment (2015, Vietnamese people appear to favor donating their money for religious purposes rather than educational purposes.

Transfer knowledge

Like many other governments, including Israel (World Intellectual Property Organization, 2012) and China (Fuller, 2019), the Vietnamese government also has policies focusing on transferring knowledge and technology to society and the private sector with the aim of diversifying the sources of revenue for higher education institutions. Notable policies include a waiver on corporate income tax for investment in research and development (Vietnamese National Assembly, 2013), and permission for public universities to use their properties to contribute capital to joint ventures (Vietnamese Government, 2006). However, the efficiency of the above incentive policies, so far, is limited, as a financial contribution from knowledge transfer still contributes only a modest share of the overall revenue of higher education institutions in Vietnam (Nguyen, 2017).

Self-paid students at public universities

Given the increasing constraints on public budgets, along with the continuing demands for university degrees from the young population, by the mid-2010s, the Vietnamese government officially allowed public universities to open a second track to enroll fully self-paid students, i.e., students who pay tuition fees covering the whole instruction cost (Ministry of Education and Training, 2014). Pham and Vu (2019) called this policy “Dual Fee Track System in Public Institutions”, which is, to a greater or lesser extent, similar to the dual fee track system described by Johnstone (2004). To further this policy, in 2014, the Vietnamese government also allowed public universities to opt for only “second track” programs (Vietnamese Government, 2014). Under this policy, 23 selected public universities agreed to stop receiving recurring subsidies from the government and instead have all self-paid programs and are granted more autonomy in various aspects of their functioning, including academic, organizational, staffing and finance. These 23 public universities are described as “autonomous” or “finance-autonomous” higher education institutions.

The present study

The Hirschman–Herfindahl Index

The origin of the HHI and its application to estimate the financial sustainability of universities

The HHI was first introduced to measure the concentration or inequality of trade and industry (Rhoades, 1995). The index has been also used to calculate the revenue concentration, revenue diversification, and financial sustainability of organizations in different sectors (e.g., see Chikoto et al., 2016). These studies regard an organization with a high level of revenue concentration or a low level of revenue diversification as having a low level of financial sustainability. In contrast, organizations with high levels of financial sustainability tend to exhibit low levels of revenue concentration or high levels of revenue diversification.

In the field of higher education, several authors have used the HHI to evaluate the revenue concentration, revenue diversification, or financial sustainability of universities in different contexts, including Europe (Kasperski and Holland, 2013), the US (Webb, 2015), and Malaysia (Nik Ahmad et al., 2019). In this study, we followed these studies, using HHI to evaluate the financial sustainability of universities in Vietnam.

The formula of the HHI

Initially, the HHI was used by the US Department of Justice to measure the market concentration or competition (U.S. Department of Justice, 2010). Specifically, the HHI is calculated as the sum of the squares of the market shares of each firm participating in a certain market.

The HHI ranges between 0 and 10,000. A market would be classified as diverse and highly competitive if its HHI is <1500. In contrast, a market would be categorized as highly concentrated if its HHI is more than 2500. Between the two ends of the spectrum, a market for which the HHI is between 1500 and 2500 is classified as moderately competitive. For instance, if five firms are participating in a market with shares of 30%, 20%, 15%, 17% and 18% respectively, then the HHI score is 302 + 202 + 152 + 172 + 182 = 2138. Thus, the market is categorized as moderately competitive.

The HHI is also used to estimate the degree of financial diversity or financial sustainability of an organization. Instead of using market shares as in the above example, in calculating financial diversity, the shares of different income sources for a certain organization would be used (Chikoto et al., 2016; Garland, 2020). Specifically, the level of financial diversity is estimated using the following formula:

$$\mathop {\sum}\nolimits_{i = 1}^N {\left( {r_j/R} \right)^2,\,i = 1,...,n,}$$

where N is the number of income sources, r is the income from the ith source, and R is the total income (revenue) from all sources. In calculating financial diversity/sustainability, some authors such as Garland (2020) standardized the final HHI score from a range of [0–10,000] to [0–1].

In this study, we followed this standardized approach. Table 1 represents the categorization of HHI in two respects; market concentration/competition and financial diversity/sustainability.

Table 1 Classification of market concentration and financial diversity according to the value of HHI.

Aggregation and disaggregation forms of HHI

The differences in terms of income inflows may result in different values in the HHI (Chikoto et al., 2016). For instance, in the non-profit sector, donations may be aggregated into a single income inflow or disaggregated into two sub-inflows: individual and institutional donations. Similarly, government funding may be aggregated into a single flow or disaggregated into three sub-inflows: federal, state, and local (Kerlin, 2006).

In the context of this study, we classified the income of public universities in Vietnam into four flows: (1) State allocation for instruction; (2) Tuition and fees; (3) Research and Development; and (4) Borrowing and Donations. These four flows may be further divided into 12 sub-inflows: (1.1) State recurrent subsidies (for instruction); (1.2) Earmarked non-recurrent allocation; (1.3) Capital investment; (2.1) Tuition and fees from domestic students; (2.2) Tuition and fees from international students; (3.1) State recurrent subsidies (for research and development); (3.2) State projects; (3.3) Non-state projects; (3.4) Technology transfer and service; (4.1) State borrowing; (4.2) Non-state borrowing; and (4.3) Donation. Figure 1 represents the four flows of income of public universities in Vietnam and their 12 sub-inflows, accordingly.

Fig. 1
figure 1

Four flows and 12 sub-inflows of Public Higher Education Institutions in Vietnam.

Data collection

Prior studies have often been based on secondary data to compute the HHIs. For instance, Garland (2020) used the Higher Education Statistics Agency (HESA)’s database to estimate HHIs for 102 universities in England. In the same vein, using the American National Center for Charitable Statistics (NCCS), Chikoto et al. (2016) computed HHIs to explore the financial volatility and growth results of non-profit organizations.

Since Vietnam does not yet have available aggregate data, which is similar to HESA’s or NCCS’s, we had to collect data directly from the Vietnamese universities. Data collection started in April 2019 and finished in September 2019. We sent emails to a convenience sample of 100 public universities to ask them to assign a manager (normally, the head of the finance/accounting department or the deputy rector in charge of finance/accounting), who could provide us with data on their different sources of revenue in the most recent years (see Appendix 1). As the data collection was started in April 2019, most universities did not have available data from 2018: they only provided us with data for 2017 and 2 years earlier, i.e., 2015 and 2016.


Sample profile

Five months after the survey was first delivered, we had received responses from 51 universities, which implied a rate of return of 51%. Table 2 illustrates the profiles of these 51 surveyed universities.

Table 2 Descriptive profile of 51 surveyed universities.

We conducted the surveys with all universities in three regions of Vietnam. More than half of our studied universities were located in Northern Vietnam, with 27 institutions, accounting for 53% of the total. This was followed by 16 universities in Southern Vietnam or 31%. This result was reasonable as most of the Vietnamese higher education institutions are located in the Red River Delta and the Southeast region (Le, 2017). The number of research-oriented universities and teaching-oriented universities was almost the same, with 26 (51%) and 25 (49%), respectively.

Shares of four income inflows and 12 income sub-inflow in 2015–2017

Appendix 1 provides the descriptive statistics for the income flows (and sub-inflows) of 51 surveyed Vietnamese universities, including means, standard deviations (SDs) and respective percentages. As evident in Appendix 1, tuition fees, especially those from domestic students, have played an increasing role, forming the majority of total income for the surveyed universities. Following tuition fees, state allocations for instruction also contributed a significant share to the overall income of the surveyed universities. Specifically, this inflow ranged from 30.02% (2017) to 35.98% (2015). A closer look at the three sub-inflows of the state allocation for instruction costs shows that the state recurrent subsidy (ranging from 22.30% to 25.32%) was more important than the two other sub-inflows, i.e., earmarked non-recurrent allocations (ranging from 4.44% to 5.60%) and capital investment (ranging from 2.79% to 5.06%). Compared to state allocations for instruction costs and tuition and fees, the income inflows from research and development (and its four sub-inflows) and borrowing and donations (and its three sub-inflows) play relatively modest roles. Specifically, research and development only range from 7.09% to 8.8% of the total income of the 51 surveyed universities. Figure 2 shows the shares of different flows and sub-flows of incomes of 51 surveyed universities in this study between 2015 and 2017. For the details of our data, please address Appendix 2.

Fig. 2
figure 2

Shares of financial income of 51 Vietnamese universities 2015–2017: aggregation and disaggregation approaches.

Estimation of HHI

Based on the data provided in Appendix 1, we estimated HHIs using two different approaches: aggregation and disaggregation. Specifically, the average HHI of 51 surveyed universities between 2015 and 2017 was 0.559 (SD = 0.018) when the aggregation approach was used. The respective figure for the disaggregation approach was 0.479 (SD = 0.022).

A closer look at the detailed estimation provides a comprehensive picture of the financial diversity/sustainability of different universities. Thus, Fig. 3 illustrates the distribution of average HHI scores in 51 Vietnamese universities between 2015 and 2017 according to two approaches: aggregated and disaggregated. As shown in Fig. 3, HHI was estimated with the aggregation approach and the disaggregation approach. We did not find any university with an HHI lower than 0.25. This implies that all surveyed universities in this study should be categorized as having weak financial diversity or sustainability (all HHIs > 0.25). We found three universities with extremely weak financial diversity or sustainability (HHIs using aggregated or disaggregated approaches were both higher than 0.75).

Fig. 3
figure 3

Distribution of average HHI scores in 51 Vietnamese universities 2015–2017.

HHIs were also estimated according to different types of universities. In this study, we categorized universities according to their age (over or under 50 years old), total enrollment (over or under 10,000 students on average between 2015 and 2017), orientation (teaching-oriented or research-oriented), and location (Northern or Central and Southern). Data on universities’ ages and locations were collected from universities’ websites. Data on universities’ total enrollment were provided by the universities’ representatives along with other data regarding their financial flows. Data on university orientation were extracted from a recent report of top Vietnamese universities in terms of research performance (Thuy Nga, 2020): those included in this list were identified as research-oriented and those outside this list were identified as teaching-oriented. Table 3 provides the HHIs in both aggregated and disaggregated approaches according to university type: over 50-year-old vs. under 50-year-old; over 10,000 students vs. under 10,000 students; teaching-oriented vs. research-oriented; and Northern vs. Central and Southern. As shown in Table 3, in general, there are no significant differences between different types of universities with regard to HHI, either in aggregation or disaggregation approaches (all p-values > 0.05, except the p-value pertaining to the HHI aggregation approach between teaching-oriented and research-oriented universities).

Table 3 Estimation of HHIs according to university type.

Discussion and conclusions

In a cost-sharing context, higher education institutes across the world should seek additional sources of revenues to compensate for budget deficits. The more diverse the sources a university can obtain revenue from, the more sustainable is its financial health. Vietnam is not immune to this trend. In this study, we followed some recent authors (e.g., De Dominicis et al., 2011; Garland, 2020; Schiller and Liefner, 2007), using the HHI as a proxy for the level of financial sustainability of 51 public universities in Vietnam between 2015 and 2017. Our computations indicated that, regardless of the approach used to compute the HHI (i.e., aggregation or disaggregation), Vietnamese universities are confronting an alarming situation in terms of financial health. Specifically, our findings indicate that all Vietnamese public universities included in this study showed weak financial diversity. On average, the value of the HHI between 2015 and 2017, in aggregation form, was 0.56; whereas the respective figure in disaggregation form was 0.48. Both values are significantly higher than 0.25, which is the cut-off point between two levels of financial diversity: weak and moderate. These findings also show that the financial sustainability of Vietnamese universities appear to much lower than in other countries. For instance, calculations involving 200 research-based European universities yielded an average HHI value of 0.3 (De Dominicis et al., 2011). A similar computation with 102 public and non-specialist universities in England yielded an average value of HHI of 0.42 (Garland, 2020)

A closer look at the detailed results may provide a plausible explanation for the current state of financial health of Vietnamese universities. Specifically, it appears that Vietnamese universities are over-relying on tuition fees from students, while the financial contribution from the government is modest and other sources (such as technology transfer and service or donations) are even more insignificant (see Appendix 1 and Fig. 2).

To understand this phenomenon, we must take into consideration the actual context of Vietnam.

First, the large share of tuition fees and the small share of governmental allocations in total university revenues may be interpreted as follows: In 2005, due to budget constraints, the Vietnamese government introduced a new financial subsidy mechanism based on historical data rather than a student enrollment quota. In parallel, due to the increasing demands of the younger generation for higher education, public universities started to open their doors to enroll more students (see Nguyen, 2020). Government subsidies to public universities have continued to increase over the years but the growth of revenue from tuition fees has outpaced them. Thus, the government subsidy share is shrinking while the share of tuition fees is growing.

Second, the small contribution from research and development revenue is understandable as it reflects the chronically peripheral role of research in Vietnamese universities (Q. H. Vuong, 2019; Vuong et al., 2021). Traditionally, the academic sector in Vietnam followed the former Soviet model with two separated types of institutions: research institutes and teaching universities (Nguyen, 2020; Trinh et al., 2020). While the former specifically focused on research activities, the latter oversaw teaching at the post-secondary level and prepared future personnel for state organizations. Although the current legislation (Vietnamese National Assembly, 2012, 2018) has declared teaching, research, and knowledge transfer as the three missions of universities, research and development still receive less attention from universities than teaching. Vietnam still has relatively few universities that can be categorized as research-based (Nguyen, 2020).

Third, akin to research and development, borrowing and donations contribute and almost insignificant share of the total revenue of Vietnamese public universities. This may be interpreted as follows. Due to their low level of autonomy, Vietnamese universities still behave as state-dependent agencies rather than independent agencies (Nguyen et al., 2020). Thus, they are not willing to borrow for investment for further development. Even for those that do intend to borrow, they would face several challenges, since according to the current legislation, public universities in Vietnam are not the owners of their buildings. Thus, they do not have collateral for loans as do many other universities across the world, such as those in Austria, Spain or Italy (see Pruvot and Estermann, 2017).

The low contribution of donations to total revenue is reasonable since Vietnamese culture does not appear to regard education as a high priority for donations and charitable activities (Vuong et al., 2018; Pham and Vu, 2019). A recent survey by the Institute for Studies of Society, Economy and Environment (2015) revealed that among 1197 surveyed participants, only 24% answered that they donated money for educational purposes. The figures for other purposes, such as poverty relief, disaster relief, or supporting people with disabilities were 80%, 67%, and 26%, respectively.


The results of this study have several implications with the first implication is for academic perspective and the three others are for practical purposes.

First, this study confirms the usefulness of HHI as a proxy to evaluate the financial sustainability in higher education with a new sample from Vietnam. While previous endeavor mostly selected developed worlds such as the US (Webb, 2015), England (Garland, 2020), or contingent European countries (Kasperski and Holland, 2013), no prior studies, except Malaysia (Nik Ahmad et al., 2019) selected developing or emerging countries as a sample to compute HHI and evaluate the financial sustainability in higher education.

Second, as the financial health of all public universities is at risk, the Vietnamese government should be advised to reform its financial allocation mechanism for public higher education to enhance its effectiveness and efficiency. The current mechanism is mostly historically based, with 24.25% of the total revenue coming from state recurrent subsidy sub-inflows, and only 9.10% coming from state competitive funding (earmarked non-recurrent allocation: 4.99% and capital investment: 4.11%). Further adjustments that promote performance-based financial allocation and reduce ineffective and inefficient historically based mechanisms are suggested (see World Bank, 2020).

Third, given the current governmental expenditure on higher education in Vietnam is, in fact, not disproportionately low, compared to other developing countries as discussed at the outset, the Vietnamese government may opt for an investment strategy similar to China’s (see Projects 985 and 211 at Yip et al., 2020); that is, focusing specifically on a very small number of highly qualified public universities that can meet world-class levels. For other universities, a more cost-sharing-linked mechanism may be adopted to encourage them to seek new sources of funding and ensure their financial sustainability. For instance, as shown earlier, the contribution of revenue from international students to the overall revenue of Vietnamese universities is still very limited, Vietnamese universities may regard international students as a potential source in the future. Pham et al. (2021) revealed some evidence of Vietnamese universities and colleges having gained fruits in international students in recent years. Strategies adopted by these institutes may offer learned lessons for other universities.

Fourth, given the low contribution from non-traditional sources of funding such as donations or knowledge transfer to overall income, the suggestion is that Vietnamese universities launch initiatives to enhance capacities in fund-raising, entrepreneurship skills and business mindsets for their faculty and staff (Ho et al., 2019). Previous studies indicated that proactive attitudes and capacities of faculty and staff are prerequisite conditions for higher education renovation (e.g., Q.-H. Vuong, 2019), including financial diversification through donations and knowledge transfer (Lockett and Wright, 2005; Speck, 2010).

Anecdotal evidence has shown some good practices undertaken by some Vietnamese universities (see Thanh, 2020). More radically, we suggest Vietnamese universities and higher education policymakers adopt the concept of the “business of science” into all their research activities. Specifically, Vietnamese universities must regard their “research and research-based activities and content [as] (commercial) products” such as “science communication, science journalism, data collection, data analysis and software development (Ho et al., 2019, p. 168). High profile “business of science” activities from developed countries such as state-funded research in the US and the UK (Nature Materials, 2006) or biotech startups in the US (Pisano, 2010) may provide examples for Vietnamese universities.

Last but not least, from a university perspective, diversifying its revenue is a must, which may, in turn, result in a more sustainable scenario for its finance. However, it would be unrealistic for one university to enhance all non-traditional revenues simultaneously (Jaafar et al., 2021). A wise strategy that focusing on only one or two new sources of revenues would be more feasible and appropriate.

Limitations and suggestions for future studies

This study has several limitations (Vuong, 2020). First, given the unavailability of secondary data, we had to conduct our own primary survey with Vietnamese universities. Therefore, our sample consisted of only 51 institutions, which is much smaller than other studies in other countries that also used the HHI to estimate the financial sustainability of higher education institutions (e.g. Garland, 2020; Kasperski and Holland, 2013; Webb, 2015). Further studies are suggested to enhance the validity of the research. Second, the data obtained in this study only covered public universities and ignored private universities. Private higher education has become an indispensable component of Vietnam’s higher education system (Chau et al., 2020). Future studies should take private universities into consideration. Third, as the current study only provides a descriptive figure of the degrees of financial sustainability of Vietnamese universities, it would be worth extending this by investigating the antecedents and/or consequences of such degrees of sustainability, using inferential approach such as panel data (Frees, 2004) or Bayesian analysis (Vuong et al., 2020).

Data availability

Some specific datasets were included in the manuscript as Appendix. The other datasets are not publicly available as they form part of the author’s on-going researchs. They are available on reasonable request.


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This work is the output of the project, entitled “Some critical financial measures to develop higher education in Vietnam, period 2021–2030, vision 2035”, no. ĐTĐL.XH-07/19, funded by the Ministry of Science and Technology of Vietnam. The authors sincerely thank the Ministry for this support.

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Le, T.T., Nguyen, T.L., Trinh, M.T. et al. Adopting the Hirschman–Herfindahl Index to estimate the financial sustainability of Vietnamese public universities. Humanit Soc Sci Commun 8, 247 (2021).

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