FACTORS AFFECTING THE DEGREE OF UNIVERSITY AUTONOMY IN VIETNAM
Hien Phuc NGUYEN1, Thao Huong PHAM2, Tu Anh NGUYEN3, Anh Ngoc MAI4, Le Hong Thi HOANG5, Thuy Thi NGUYEN4*
1Center for Testing and Quality Assurance, Foreign Trade University, Hanoi, Vietnam.
2Department of Research Management, National Economics University, Hanoi, Vietnam.
3National Economics University Publishing House, National Economics University, Hanoi, Vietnam.
4*Faculty of Management Science, National Economics University, Hanoi, Vietnam.
5Faculty of Transport Economics, University of Transport Technology, Hanoi, Vietnam.
*Corresponding Author
E-mail: [email protected]
ABSTRACT
The given analysis uses the exploratory factor analysis approach to identify the underlying relationships between measured variables of university autonomy in the Vietnamese higher education system. The findings reveal that although measured variables positively impact the degree of university autonomy across Vietnam’s public higher education institutions, it differs across variables. While the executive and governing bodies have a restricted influence on organizational autonomy, they have been granted more power related to autonomous rights in academic autonomy. Although higher education institutions have been given decisions on developing their programs and curricula, its excellence has not yet met the requirements of the economy in the context of industrial revolution 4.0. Meanwhile, financial autonomy is another issue that needs to be revised as policies on financial autonomy in Vietnam differ from the rest of the world. Based on the restrictions of current policies on university autonomy in Vietnam, the paper then recommends solutions for a better Vietnam’s tertiary education in the coming period..
Keywords: University, Autonomy, Policies, Factors.
INTRODUCTION
Since the Vietnamese government decided to shift to a market economy from a centralized economy, the university governance model has also changed to accommodate the market economy's requirements. As a result, autonomous privileges have gradually been granted to Vietnam's public higher education institutions managers. Procedural autonomy and substantive autonomy of public universities were progressively increased since the promulgation of the Resolution on Substantial and Comprehensive Renewal of Vietnam's Tertiary Education in the 2006–2020 Period, known as Higher Education Reform Agenda (HERA). The Law on Amendments to Law on Higher Education (Law No. 34/2018/QH14), promulgated in 2018, created significant changes for the managers in running their institutions. Although after two years of implementing Law No. 34/2018/QH14, Vietnam’s higher education system has significantly improved, several shortcomings from the current autonomy policies have been unraveled. Despite the fact that authors have discussed university autonomy in Vietnam in qualitative approaches, the quantitative methods on university autonomy are relatively rare. Therefore, assessing the degree of university autonomy of Vietnam’s higher education institutions to make necessary adjustments for the development of this sector in the future is essential.
The structure of this article is as follows: after the literature review, the paper shows materials and methods for this research. The degree of autonomy of Vietnam’s higher education institutions is presented in the result part. This thesis then discusses both positive and negative aspects of university autonomy from current policies. Recommendations for the incoming research are mentioned in the last portion.
Literature Review
The original university was launched in the Middle Ages in Europe to serve the liberal nation-state until the 18th century. Given that the role of universities is to propagate knowledge, their role in contributing to the economic system is quite imperative (Gu et al., 2018). The State began to take control of universities as tertiary education contributes to individual future earnings and the development of society (Han, 2020; Mai, 2022). HEIs belong to the state control or State supervising model. Irrespective of the governance model that the HE system belongs to, and Universities have evolved in various ways, the fundamental functions of universities would be eliminated, including preserving, developing, and disseminating knowledge in society (Adeniyi et al., 2021). Teaching, research, and public services are always the three primary functions of universities (Wan & Sirat, 2018; Marini & Yang, 2021).
According to Berdahl (1990), higher education institutions were given autonomy based on the original tradition of elite education systems and were heavily supported financially by the state budget. Since the 1990s, university autonomy at public educational institutions has been understood as merely academic-related activities and broadly understood as financial autonomy, organization, and personnel structure. Tapper and Salter (1995) maintain that the autonomy of higher education institutions is determined according to the political context and mechanism. Consequently, the degree of university autonomy changes over time, depending on the legal framework and operating practices promulgated by public authorities. In comparison to the existing higher education institutions in previous centuries, Jongblut and Rexe (2017) both argue that the current autonomous rights granted to public higher education institutions in European countries are pretty limited.
University autonomy is the potential of a higher education institution in determining the forms and capabilities of capital mobilization. Autonomous universities, therefore, can decide on their strategies, establish linkage mechanisms with external organizations, and define the responsibilities of higher education institutions to society. University autonomy can also be defined as the institutions' executive and governing bodies running their universities without intervention from external authorities. Tang (2020) argues that university autonomy is the ability of a higher education institution to proactively make decisions to fulfill its mission based on its rights, duties, and legally mobilized resources. University autonomy means that a higher education institution operates its operations without outside interference (Zong & Zhang, 2019; Gao & Liu 2020).
Going back to the 1990s, the perception of public university autonomy has not only been in terms of academic affairs but also in financial, organizational, and staffing aspects (Pruvot & Estermann, 2018). The 4 aspects of university autonomy are summarized as follows:
Organizational autonomy refers to the autonomous rights in establishing the governing body and the executive body and forming the structures of subordinate functional units such as departments/boards/faculties that have been given to public universities. In fact, organizational structure differs across universities within a country and among countries. Therefore, the autonomous rights in establishing higher education institutions’ executive and governing bodies and units are also different among countries.
Financial autonomy relates to the right that higher education institutions can access block-grant, line-item budgets, and the power to redistribute the state budget allocation to their institutions. In addition, financial autonomy also involves the right to decide on the sale of facilities and the right to determine tuition fees, and determine the financial sources of the institution.
Academic autonomy refers to the extent to which higher education institutions can decide on the content of the training programs and choose the language of instructions. Higher education institutions also have autonomous rights in deciding on the enrollment mechanism and the number of students recruited annually. Besides, the international training cooperation is also within the university's self-determination.
Personnel autonomy means that higher education institutions have been assigned more autonomous rights concerning the maintenance of permanent staff. A public university can annually re-sign labor contracts of senior lecturers who are no longer permanent staff owing to the reaching of retirement age. The resignment of labor contracts was regulated differently for different senior lecturers to those holding professorship, associate professorship, or doctoral degrees. In addition, Personnel autonomy refers to the situation that the presidents of universities appoint and dismiss deputy heads of units and leadership positions within their institutions.
MATERIALS AND METHODS
To evaluate the degree of autonomy among public higher education institutions in Vietnam since the Law on Amendments to Law on Higher Education was promulgated and came into life, the study investigated 200 lecturers working as permanent staff at 13 Vietnamese public institutions in 2020.
The collecting data is concentrated on the following main contents: (i) on the aspect of organizational autonomy, the collected data relates to information concerning assessments of interviewers on the degree of autonomy in establishing service units (TCBM1), institutes, faculty, and departments (TCBM2), as well as administrative units (TCBM3) (ii) on the aspect of financial autonomy, the collected data refers to interviewers' assessments on the power of reallocating state budget allocation (TCTC1), in redistributing the institution’s residual income (TCTC2), the capacity in accessing loan on the financial market (TCTC3), or utilizing HEI's properties for joint ventures with the private sector (TCTC4), in determining tuition fees (TCTC5)... are also be included; (iii) on the aspect of personnel autonomy, the collected data refers to interviewers' assessments on the autonomous rights in recruiting lecturers and academic staff (TCNS1) or administrative staff (TCNS2), the decision on staff's appointment and dismissal (TCNS3), as well as salary payment for their staff (TCNS4), ... are also mentioned (iv) On the aspect of academic autonomy, the collected data refers to interviewers' assessments on the auntonomous rights in making decision in number of enrollment (TCHT1), planing institutions' enrollment plan (TCHT2), introducing new programs (TCHT1), and developing their curriculum (TCHT4)...; (v) The outputs, outcomes from implementing policies on university autonomy are also listed in the questionnaire. Of which, the growth of annual enrollment (TONGTHE1), the extension of programs (TONGTHE2), the increase of financial resources from training (TONGTHE3), the increase of academic papers published by Journals indexed by ISI/Scopus (TONGTHE4); the quality and quantity of academic staff (TONGTHE5), The ratio of students per lecturers (TONGTHE6), Quality of institution’s infrastructures (TONGTHE7), University ranking (TONGTHE8), the income of institutions’ staff (TONGTHE9), Employability of learners (TONGTHE10), the level of university autonomy (TONGTHE11). The questionnaire was combined both closed form (according to the Likert scale) and open form for respondents to fill in the appropriate box. This paper uses the strategies of West and Kreuter to increase the accuracy of interviewer observations of respondent features, ‘given that interviewers are the eyes and ears of the survey organization’ (West & Kreuter, 2018). The interviewers were managers and staff working in 13 Vietnamese public higher education institutions.
This study uses the exploratory factor analysis method to explore the degree of university autonomy in the Vietnamese higher education system under independent components. Exploratory factor analysis (EFA) is a classical formal measurement model that is used when both observed (dependent) and latent (independent) variables are assumed to be measured at the interval level. EFA is executed on the correlation matrix between the items (Ferrando et al., 2019). In EFA, a latent variable is called a factor, and the associations between latent and observed variables are called factor loadings. Factor loadings are standardized regression weights. Since EFA is an exploratory technique, there is no expected distribution of loadings; thus, it is not possible to statistically test whether or not factor loadings are the same across cultural groups. EFA is often used in multidimensional situations where more than one latent variable is measured simultaneously. Before evaluating congruence, in this case, the factor structures should be rotated toward a target structure. Accordingly, the dependent (observed) variable is the degree of university autonomy (Uni_auto), the independent (latent) variables are financial autonomy (F1), Organizational autonomy (F2), Staff autonomy (F3), Academic autonomy (F4).
RESULTS AND DISCUSSION
Step 1: Investigate the quality of the scale (factor)
Table 1. Reliability Statistics
Cronbach's Alpha |
.935 |
|
||
Item-Total Statistics |
||||
|
Scale Mean if Item Deleted |
Scale Variance if Item Deleted |
Corrected Item-Total Correlation |
Cronbach's Alpha if Item Deleted |
TCBM1 |
97.9348 |
460.053 |
.690 |
.932 |
TCBM2 |
97.9973 |
457.804 |
.719 |
.931 |
TCBM3 |
97.9536 |
458.649 |
.690 |
.932 |
TCTC1 |
98.2536 |
460.582 |
.720 |
.932 |
TCTC2 |
98.0348 |
461.782 |
.693 |
.932 |
TCTC3 |
98.3473 |
459.221 |
.654 |
.932 |
TCTC4 |
98.3973 |
463.612 |
.615 |
.933 |
TCTC5 |
98.1348 |
458.432 |
.735 |
.931 |
TCNS1 |
97.7098 |
458.914 |
.714 |
.932 |
TCNS2 |
97.5536 |
433.121 |
.512 |
.938 |
TCNS3 |
97.5223 |
436.356 |
.488 |
.938 |
TCNS4 |
97.7348 |
462.616 |
.371 |
.937 |
TCHT1 |
97.9723 |
433.654 |
.502 |
.938 |
TCHT2 |
97.9161 |
461.494 |
.701 |
.932 |
TCHT3 |
97.8411 |
466.727 |
.641 |
.933 |
TCHT4 |
97.6536 |
468.392 |
.615 |
.933 |
TONGTHE1 |
98.1286 |
464.588 |
.706 |
.932 |
TONGTHE2 |
98.1348 |
464.092 |
.719 |
.932 |
TONGTHE3 |
97.9973 |
462.075 |
.374 |
.937 |
TONGTHE4 |
97.9098 |
464.323 |
.689 |
.932 |
TONGTHE5 |
97.8098 |
468.386 |
.675 |
.933 |
TONGTHE6 |
97.9661 |
468.324 |
.658 |
.933 |
TONGTHE7 |
97.9723 |
465.967 |
.676 |
.932 |
TONGTHE8 |
97.8161 |
467.676 |
.652 |
.933 |
TONGTHE9 |
98.2473 |
467.305 |
.667 |
.933 |
TONGTHE10 |
97.9036 |
466.858 |
.684 |
.932 |
TONGTHE11 |
98.1161 |
465.897 |
.749 |
.932 |
The scale is considered good quality when this value is greater than 0.6 (Table 1). In this field, observing the Item-Total Statistics Box, the value shows that the Cronbach's Alpha value of the scale is greater than 0.6. Therefore, the scales are of good quality
Step 2: Exploratory factor analysis
First, test the relevancy in exploratory factor analysis
Table 2. KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. |
.869 |
|
Bartlett's Test of Sphericity |
Approx. Chi-Square |
2803.638 |
df |
120 |
|
Sig. |
.000 |
Any value that is less than 0.5 indicates the sample is too meager. Ideally, we require a 0.7 or above. In this given scenario, the value is KMO = 0.869 (Table 2), which satisfies the condition 0.5 < KMO < 1. this translates to sufficient sample size.
Bartlett’s test of sphericity is the second statistic. It denotes the adequate number of correlations between our variables for factor analysis. Here, we are looking for a significance value of less than your alpha level (i.e. p< .001), which means that observed variables have a linear correlation with the representative factor.
The study then followed to test the explanatory level of the observed variables for the factor.
Table 3. Summary of Explained Variances
Component |
Initial Eigenvalues |
Extraction Sums of Squared Loadings |
Rotation Sums of Squared Loadings |
|||||||
Total |
% of Variance |
Cumulative % |
Total |
% of Variance |
Cumulative % |
Total |
% of Variance |
Cumulative % |
||
|
1 |
8.256 |
51.601 |
51.601 |
8.256 |
51.601 |
51.601 |
3.884 |
24.275 |
24.275 |
2 |
2.524 |
15.777 |
67.378 |
2.524 |
15.777 |
67.378 |
3.317 |
20.730 |
45.005 |
|
3 |
1.230 |
7.688 |
75.066 |
1.230 |
7.688 |
75.066 |
2.937 |
18.357 |
63.363 |
|
4 |
1.033 |
6.459 |
81.525 |
1.033 |
6.459 |
81.525 |
2.906 |
18.162 |
81.525 |
|
5 |
.864 |
5.401 |
86.926 |
|
|
|
|
|
|
|
6 |
.411 |
2.571 |
89.497 |
|
|
|
|
|
|
|
7 |
.343 |
2.142 |
91.638 |
|
|
|
|
|
|
|
8 |
.299 |
1.866 |
93.504 |
|
|
|
|
|
|
|
9 |
.236 |
1.477 |
94.981 |
|
|
|
|
|
|
|
10 |
.200 |
1.253 |
96.234 |
|
|
|
|
|
|
|
11 |
.169 |
1.053 |
97.287 |
|
|
|
|
|
|
|
12 |
.148 |
.924 |
98.212 |
|
|
|
|
|
|
|
13 |
.124 |
.773 |
98.984 |
|
|
|
|
|
|
|
14 |
.096 |
.601 |
99.585 |
|
|
|
|
|
|
|
15 |
.047 |
.296 |
99.881 |
|
|
|
|
|
|
|
16 |
.019 |
.119 |
100.000 |
|
|
|
|
|
|
The Cumulative column only knows that the extracted variance is 81.525% (Table 3). This means that 81.525% of the variation of the factors is explained by the observed variables (components of the Factor).
The factor rotation matrix shows that all special variables have factor loading coefficients greater than 0.55. Table 4 shows the 4 factors representing the degree of autonomy of higher education institutions:
Factor 1 (component 1) includes variables: TCTC1, TCTC2, TCTC3, TCTC4, TCTC5. This factor is named Financial Autonomy
Factor 2 (component 2) includes variables: TCBM1, TCBM2, TCBM3, TCNS1. This factor is named Autonomy
Factor 3 (component 3) includes variables: TCNS2, TCNS3, TCHT1. This factor is named HR Autonomy
Factor 4 (component 4) includes variables: TCHT2, TCHT3, TCHT4. This factor is named Academic Autonomy
Table 4. Factor Rotation Matrix
1 |
2 |
3 |
4 |
|
TCBM1 |
.792 |
|||
TCBM2 |
.832 |
|||
TCBM3 |
.839 |
|||
TCTC1 |
.787 |
|||
TCTC2 |
.655 |
|||
TCTC3 |
.864 |
|||
TCTC4 |
.832 |
|||
TCTC5 |
.677 |
|||
TCNS1 |
.668 |
|||
TCNS2 |
.963 |
|||
TCNS3 |
.967 |
|||
TCNS4 |
||||
TCHT1 |
.963 |
|||
TCHT2 |
.791 |
|||
TCHT3 |
.856 |
|||
TCHT4 |
.864 |
Through testing of scales and testing of EFA models, there are 4 scales representing the degree of autonomy of higher education institutions with a total of 15 characteristic variables beloing to the Adjusted model through Cronbach Alpha test and exploratory factor analysis. Of which, the Finan_auto (Financial autonomy) scale covers variables including TCTC1, TCTC2, TCTC3, TCTC4, TCTC5; the Orga_auto (Organizational autonomy) scale includes variables relating to TCBM1, TCBM2, TCBM3, TCNS1; the Staff_auto (Staff autonomy) scale covers variables including TCNS2, TCNS3, TCHT1; the Acad_auto (Academic autonomy) scale covers variables such as TCHT2, TCHT3, TCHT4; the Uni_auto (Degree of autonomy of higher education institutions) scale covers variables including TONGTHE1, TONGTHE2, TONGTHE3, TONGTHE4, TONGTHE5, TONGTHE6, TONGTHE7, TONGTHE8, TONGTHE9, TONGTHE10, TONGTHE11.
Table 5. Model summary
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
||||
1 |
.741a |
.548 |
.537 |
.68482168 |
|||||
a. Predictors: (Constant), Financial autonomy, Organizational autonomy, Staff autonomy, Academic autonomy
Regression analysis shows that the adjusted level of R2 is 0.548 (Table 5). Thus, 54.8% change in the degree of autonomy of higher education institutions is demonstrated by independent variables from the model.
Table 6. Analysis of Variance
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
1 |
Regression |
88.282 |
4 |
22.071 |
47.061 |
.000a |
Residual |
72.692 |
155 |
.469 |
|
|
|
Total |
160.974 |
159 |
|
|
|
|
a. Predictors: (Constant), Financial autonomy, Organizational autonomy, Staff autonomy, Academic autonomy |
||||||
b. Dependent Variable: Degree of autonomy of higher education institutions |
The Analysis of Variance table shows that, with Sig. <0.001 can conclude the model is consistent with the actual data (Table 6). In other words, the independent variables are linearly correlated with the dependent variable and the confidence level is 99%.
Table 7. The results of the regression model reflect the degree of autonomy of higher education institutions under the influence of the following factors
Model |
Unstandardized Coefficients |
Standardized Coefficients |
T |
Sig. |
||
B |
Std. Error |
Beta |
||||
1 |
(Constant) |
-.006 |
.054 |
|
-.106 |
.916 |
Finan_auto |
.461 |
.054 |
.459 |
8.512 |
.000 |
|
Orga_auto |
.302 |
.054 |
.300 |
5.567 |
.000 |
|
Staff_auto |
.181 |
.054 |
.181 |
3.347 |
.001 |
|
Acad_auto |
.471 |
.055 |
.466 |
8.631 |
.000 |
a. Dependent Variable: Uni_auto
Table 7 indicates the regression model of the degree of autonomy of Vietnam’s higher education institutions. It is shown as follows:
Uni_auto = 0.461 Finan_auto + 0.302 Orga_auto + 0.181 Staff_auto + 0.471 Acad_auto + ei |
(1) |
The results illustrate that the four pillars of university autonomy are considered to have a positive relationship with the autonomy of Vietnam’s higher education institutions. However, the degree of staff autonomy and organizational autonomy is relatively low. In contrast, the degree of academic autonomy and financial autonomy is appreciated with a higher value.
Recommendations
Despite the components showing a positive relationship with the degree of autonomy in Vietnam’s public higher education institutions, there are still many problems arising in each pillar of autonomy, which harm the development of each institution as well as Vietnam’s higher education system in the coming period.
Firstly, on the aspect of financial autonomy, Vietnam’s higher education sector has been marketized, universities have become providers of higher education services, faculty members have become suppliers, and students have become customers. Higher education fees have become a debate forum not only in Vietnam but also in many other countries. With the current policies on university autonomy, universities participating in Resolution No. 77/NQ-CP have increased their revenue through tuition fees for maintaining the institution’s operation in the context of cutting the state funding for higher education institutions. As tuition fees become the primary mobilizing source for HEIs, enrollment extension becomes an inevitable trend. The more students an institution enrolls, the more time for instructing lecturers. Consequently, academic staff has to spend more hours on tutoring and less time conducting and publishing the researched results in international journals that are owned by the ISI/Scopus indexes. The academic environment is therefore still inadequate nurturing, irrespective of disciplines related to health sciences, Social sciences and humanities, Material sciences and engineering as well as biomedical sciences. The accessibility of students to documents in electronic libraries in all disciplines is not adequate, as online libraries have limited materials due to a lack of funding. In addition, public HEIs can not obtain their libraries and laboratories following international standards unless being funded by the state budget (Do & Mai, 2021). Notably, as borrowing of money from the financial market and the institutions’ staff for the improvement of university’s infrastructure and educational quality has been canceled with the expiration of Decree on Providing for the Right to Autonomy and Self-responsibility for Task Performance, Organizational Apparatus, Payroll, and Finance of Public Non-business Units (Decree No 43/2006/ND-CP) from 1 July 2016.
As financial autonomy is being understood in the local context, the connotation of financial autonomy differs from the universal notation. Consequently, autonomous HEIs rely on tuition fees instead of block-grant or line-item budgets for their operations (Mai, 2022). The Vietnamese government should revise the policies on financial autonomy in accordance with the international perspective. Block-grant or line-item budgets are the essential portion of the institution's revenues to improve universities' infrastructure. The Vietnamese government should never eliminate public expenditure on higher education costs per student (Mai, 2020).
Secondly, on the aspect of organizational autonomy, the promulgation of Decree on Elaborating and Providing Guidelines for numerous articles of Law on Amendments to Law on Higher Education (Decree No 99) has addressed restrictions of Law No. 34/2018/QH14 concerning the executive body and the governing body in HEIs. The governing body nominates the president of a public university and submits it to the external authority for approval, whereas members of the governing body are chosen from an electing procedure, selected members of governing body proposes the university council’ chairman: ‘suppose the tenure of the principal and that of the university council end concurrently, it is possible to extend the principal’s tenure until the supervisory authority encounters a new principal per application from the new university council’ (Do & Mai, 2021).
The presidents of universities have been granted authority on introducing, merging, or dismissing units, faculties and departments within their institutions except for the executive body and the governing body, the committee of the communist party, and the academic council. Although organizational autonomy has been legalized, the presidents of public universities are facing difficulties in implementing this authority, particularly in HEIs, which are under line-management control by various central federal agencies and sectoral ministries other than the ministry of education and training (Mai et al., 2020).
Thirdly, on the aspect of staff autonomy, the presidents of public universities implementing Resolution No 77/NQ-CP are granted decision-making powers on the recruitment or dismissal of their staff. It is not easy for public universities to sign a tenure or permanent contract with talented Vietnamese scholars overseas.
Last but not Least, on the Aspect of Academic Autonomy
With the autonomous rights assigned to them, several public universities are planning on conducting other admission methods instead of organizing entry exams annually to reduce the burdens put upon learners, their families, and society as it happened a decade ago. The test results from the national high school final exam would not be the unique plan for student admission. Having prizes from provincial, national and international competitions . . . should be added as other schemes for entry.
Since 2017 the presidents of universities have been granted the authority to introduce a new course with the enforcement of Circular on Conditions, Procedures for Offering Courses and Suspension of Enrolment and Revocation of Decision on Offering Courses at Bachelor’s Degree Level (Circular 22/2017/TT-BGDĐT). Although presidents of universities have been granted the authority to build their curricula, the ideological subjects were compulsory, and the MOET fixes these credits, to meet the national objective of promoting socialist modernization. In addition, although lecturers have been encouraged to introduce textbooks, even republish or update the previous ones, it is difficult for students to access this kind of material. Unless having textbooks, program accreditation would never be passed by quality assurance providers (Nguyen & Shah, 2019). If this criterion is widely publicized, it will create conditions to advance the quality of higher education.
The promulgation of Circular on Regulations on enrollment and training at the doctoral level (Circular No. 08/2017 / TT-BGDĐT), the Ministry of Education and Training has expected to increase the quality of both inputs as well as outputs for the doctoral training process because of the high quality of requirements and conditions for instructors and Ph.D. candidates. However, after four years of implementing this Circular, instructors' and candidates' qualitative and quantitative improvements were insufficient. Therefore, instead of keeping the standard, the Ministry of Education and Training has reduced the quality demands for instructors. As a result, instructors have articles published in domestic scientific journals or monographs published by reputable domestic (Circular 18/2021/TT-BGD&DT) instead of being the principal author of articles indexed by the system of ISI/Scopus. To improve the quality of graduated Ph.D. candidates, requirements on the paper publication of Ph.D. candidates should be improved. Unless being a co-author with Ph.D. candidates' principal instructor in a paper published by a journal indexed by ISI/Scopus system or journals in the first-class domestic category, the final round of thesis defense would not be promulgated. Poor quality papers from Ph.D. students affect the instructor's reputation, and accordingly, the supervisor position may be revoked in the following years.
CONCLUSION
Using the exploratory factor analysis method to explore factors affecting the degree of autonomy of Vietnam higher education institutions from 200 interviewers with questionnaires from 13 public institutions nationwide. The result shows that the four pillars of university autonomy, including Financial autonomy, Organizational autonomy, Staff autonomy, Academic autonomy, represent positive signs towards university autonomy. Besides the positive aspects of current policies on university autonomy, this paper also point-outs restrictions of these policies and discusses solutions for a better higher education sector in Vietnam in the coming years. Although several recommendations have been mentioned to promote the improvement of the HE sector in Vietnam, conditions for implementing these solutions require more extensive discussions. It is beyond the scope of this study to conduct such intensive research.
ACKNOWLEDGMENTS: None
CONFLICT OF INTEREST: None
FINANCIAL SUPPORT: None
ETHICS STATEMENT: None
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