Financing for Higher Education in Developing Nations Due to COVID- 19

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Financing for Higher Education in Developing Nations Due to COVID- 19
Journal of Xi'an University of Architecture & Technology                                                                                                        ISSN No : 1006-7930

              Financing for Higher Education in Developing
                       Nations Due to COVID- 19
                                                                            Syed Far Abid Hossain
         College of Business Administration, IUBAT—International University of Business Agriculture and Technology, 4 Embankment Drive Road, Sector-10, Uttara Model Town, Dhaka 1230
                                                                                         Bangladesh
                                                                                   E-mail: abid@iubat.edu

                                                                                   Jamee Ahmad
         College of Business Administration, IUBAT—International University of Business Agriculture and Technology, 4 Embankment Drive Road, Sector-10, Uttara Model Town, Dhaka 1230
                                                                                         Bangladesh
                                                                               E-mail: jamee.ahmad@iubat.edu

                                                                               Zahir Rayhan Salim
         College of Business Administration, IUBAT—International University of Business Agriculture and Technology, 4 Embankment Drive Road, Sector-10, Uttara Model Town, Dhaka 1230
                                                                                         Bangladesh
                                                                               E-mail: zahir.rayhan@iubat.edu

                                                                                  Kazi Mohiuddin
                                School of Transportation, Shanghai Maritime University, Shanghai, Postal Code 200135, China; Email: kazi.mohiuddin@yahoo.com

                                                                                    Abdul Qadeer
                                                                    School of Management, Xi'an Jiaotong University, China;
                                                                                E-mail: qadeerakli@gmail.com

     Abstract - Prerequisite for higher education in developing countries is extremely affected due to COVID-19 recently. Education
     ministry and WHO has taken measures to protect the students from infection as well as tried to ensure sustainable educational
     development. Although COVID-19 is investigated in terms of healthcare and coping strategies, little has investigated so far about
     education financing. In this paper, a detailed scenario of funding in the higher education sector in developing countries due to
     COVID-19 impact has investigated. The study utilizes person administered survey of 400 students to examine the study. The study
     discovers that the opportunity for higher education is not satisfactory due to various hindrances and lack of financial capability. It is
     also predictable that this investigation can provide a milestone for those who are related to the education sector or even though who
     are concerned about social responsibility and sustainable educational development. The study is conducted with a small sample size
     (n=400), which may affect the generalizability of the research.

     Keywords: Financial Assistance; Sustainable education; Higher Education; Developing countries; COVID-19

                                                            1. INTRODUCTION
     Due to the COVID-19 outbreak around the world, higher education financing is at stake due to other necessary measures like
     healthcare and movement control policy. By 2022, universities in Denmark are expected to miss approximately one-tenth of
     their up-to-date funding from the Government (Adam, 2020). In 2006, China successfully reformed Education Finance by
     comparing 1600 provinces in China (Ding, Lu, & Ye, 2020), and in 2018, China enrolled 4,92,185 international students from
     different parts of the world (China Daily, 2019). China secured the number 1 position in the world (Enago Academy, 2018) for
     research and scientific publication as a long-run effect of higher education finance reform policy. In developed countries,
     education is treated as the most valuable asset. Former U.S. President Barack Obama (2016) stated that there is nothing more
     important than providing everyone the possible best education. As a consequence of his thought, he raised Pell grant award to
     USD 5550 since 2008, and 9.5 million students received it in 2012-13 school year. Also, for most Americans, the first 4000
     USD of a college education is free (Education.com, 2016). Distribution of public resources based on equity and efficiency to
     reform secondary education policy is measured

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Financing for Higher Education in Developing Nations Due to COVID- 19
Journal of Xi'an University of Architecture & Technology                                                               ISSN No : 1006-7930

     Figure1: Daily fatality scenario in the world, source: (Our World in Data, 2020)
     (Kafumbu, 2020). According to figure 1, the daily fatality rate in the world is a threat for continuance of HE. In addition, the
     overall learning processes of higher education is considered as complex process and investigators suggested mergers of
     universities (Savović, 2020) and performance-based funding (Adam, 2020). According to Miyan (2013), most of the people in
     developing nations cannot pursue higher education due to resource constraints. The number of public Universities is not
     adequate comparing to the number of students completing higher secondary studies. In most of the cases this is due to financial
     inability of parents or guardians; because the tuition fees in University level especially in private university is pretty high and it
     is not affordable for many people. As a result, their dream come to an end with full of disappointment and anxiety. In the last
     decade, the number of private Universities in developing nations increased tremendously but still for bright middle class
     students it is out-of-the-way because of financial inability. But, the society expects recent graduates to be capable enough to
     deal with difficult troubles in technology handling (Webster, 2020). The broad objective of this particular article is to examine
     in depth about the key issues those are responsible for pursuing higher education in developing nations. However, the specific
     objective is to clarify how financial difficulty is the major hindrance for achieving quality higher degrees in developing nations.

                                     2. THEORETICAL BACKGROUND AND HYPOTHESIS DEVELOPMENT
     Over the years, the theory of financial distress (Gordon, 1970) investigated financial issues in various aspects. This study is
     consistent with the theory of financial distress as during COVID-19, financial measures are primary concerns after healthcare
     and treatment. Number of achievements of private universities are appreciated by TIB (2015) including creation of higher
     education opportunity with m-learning (Hossain, Shan, & Nurunnabi, 2019) for a large number of student, emergence as an
     alternative to highly expensive foreign education, establishment of dedicated universities variety seeking advancement
     (Hossain, Nurunnabi, Hussain, Saha, & Wang, 2019), creating study opportunity for professionals, scholarship opportunity for
     meritorious, poor and freedom fighters' children etc. Miyan (2013) considered "financing" as a barrier of Knowledge Based
     Area Development concept and it might be partially resolved by Educational Loan Scheme by the help of GOB or NGO, or by
     establishing Educational Bank. Due to globalization, increased number of completion, low government funding and better
     attempt to admit more international students, the U.K. higher education boosted the "marketisation" (Kalafatis et al, 2016) but
     the matter of fact is many students go to U.K. and can't pursue higher education due to financial inability and involve with
     various legal or illegal work.

     TAM (Technology Acceptance Model) is another theory which supports the technological acceptance (Venkatesh, Thong, &
     Xu, 2012) although financial issues are key concerns to support this theory. Researchers investigated that limited resources and
     insufficient facilities such as device based learning opportunities (Hossain, Ying, & Saha, 2019) are the major challenges for
     quality higher education in developing nations. Also, quality of higher education in Developinng nations has been deteriorating
     steadily, in some areas quite alarmingly, over the last two decades (Salahuddin & Aminuzzaman, 2011). Brand identity and

Volume XII, Issue VIII, 2020                                                                                                     Page No: 434
Financing for Higher Education in Developing Nations Due to COVID- 19
Journal of Xi'an University of Architecture & Technology                                                                         ISSN No : 1006-7930

     brand image could be vital issue for brand extension especially in the case of higher education (Yuan et al, 2016). As a result,
     many private universities are under threat to impede their operation in extended campuses which are situated mainly outside of
     the capital city of Bangladesh. According to Sarwar and Khaled (2014), Degree colleges that account for the lion's share of
     enrolment at the level of higher education suffer from inadequate infra-structural facilities (libraries and laboratories), and lack
     of qualified teachers with satisfactory emoluments and allowances. In addition, in these degree colleges' voters', not 'teachers'
     are recruited that adversely affect the quality of university education" – (Masum, 2015)

     The cost of higher education in a developing country is cheaper compared to developed nations (Bhuiyan and Hakim, 1995).
     But quality is more important than cost - Sarkar et al. (2013). The result is no Bangladeshi University is in the list of top 400
     World's best universities (U. S. News, 2011). Also, Government funding for higher education and research is not adequate and
     University Grant Commission fails to provide fund according to the need of the public universities (Mobassern and Muhammed,
     2010) so in this century Universities are vastly competing specially for international students (Hemsley-Brown, 2016).
     According to Juditha (2013), Private universities contribute substantially to the higher education sector in Developinng nations.
     They offer an educational opportunity to qualified students who cannot find seats in the public universities as the seats are very
     limited as per the report of Financial Express, (2015). "Grameen Kalyan", one of the divisions of Grameen Bank, has increased
     its objectives via micro credit to include higher education which is known as Higher Education Loan Programme (HELP). The
     goal is to identify talented young villagers and help them to finance University education through loans. Till December 2014,
     Grameen Kalyan provided 15.94 million USD (X.E. Currency converter, 2015) for Higher Education Loan (Grameen Kalyan,
     2010)
     According to the first annual survey of student finances by the Halifax bank (U.K.), 52% of students work to fund their studies
     and living costs while at university and the average part-time weekly wage across the U.K. is £112.20 but the top 15% of
     students take home more than £200 (The Guardian, 2015). In developing nations, the per capita income is $1190 (bdnews24,
     2014) which is less than the part time weekly income of a U.K. student. Regarding involvement of Universities for financing
     higher education IUBAT-International University of Business Agriculture and Technology, Bangladesh set an example by
     establishing a higher education finance program name, KBAD-Knowledge Based Area Development. Under this program
     IUBAT has set out the long term vision of producing one technical graduate from each village as a step towards community
     self-reliance. Recently China set an eye catching example for promoting higher education around the globe. China Scholarship
     Council (CSC) offers scholarship in multiple disciplines for Bachelor, Masters and PhD programs throughout China in various
     recognized Universities. Such initiative by Chinese Government attracted the developing countries. Innumerable applicants are
     competing to win a scholarship offered by CSC. Unfortunately, it's a matter of regret that the Chinese students don't have this
     scholarship facility within China. As a result, many of the Chinese students try to achieve scholarship in other developed
     countries (China Scholarship Council, 2016). Many Private Universities are operating in developing nations without even a
     permanent campus or they may have just a place for permanent campus but they are still operating in hired campus which is not
     standard enough for providing quality higher education for the students. On the other hand, instead of increasing education
     budget every year the Government sometimes decreases the budget such as in 2006-07 fiscal year 15.9% of total budget was
     allocated for education but in 2015-16 it dropped as below as 11.6% only (Wasim & Tuhin, 2016)

                                         Personal                   Economic
                                                               Lack of education financing
                                      Low average income
                  Political                                         Lack of interest by commercial banks
                                           Family support
             inadequate fund                                                Lack of interest by other financial
                                                                            institutions
             Problem of distribution             Gender issue for
                                                 financing
                   Political unrest

                                                                                                                   Financial
                                                                                                                  difficulties
                       Family issues                           Lack of trust          Risk for investment
              Personal Risk factors
                                                Lack of secured financing                 Mentality
           Lack of social welfare
                                                 Lack of credit rating         Lack of liquid money

               Social                          Security
                                                                     Psychological

     Figure 2: Conceptual Model for financial difficulties regarding higher education using Fishbone diagram
     Donche and Gijgels, (2013), stated that innumerable personal and environmental related factors are associated to student
     learning. The major factors behind financial difficulties are shown through a fishbone diagram above. Six major factors have
     been presented in the diagram which are expanded further in the hypotheses development section below.

Volume XII, Issue VIII, 2020                                                                                                           Page No: 435
Journal of Xi'an University of Architecture & Technology                                                               ISSN No : 1006-7930

     A. Personal factors and financial issues in higher education (HE)
     Average income in the developing countries is not satisfactory (Buckley & Michel, 2020) in attaining sustainable higher
     education (HE). As a result, low income people may not capable of spending required money for achieving technology-assisted
     (Wilson, Ritzhaupt, & Cheng, 2020) HE as they need to maintain some other basic needs too. Although many people have a
     positive mentality to spend more money but they are not capable due to the lack of financial support. According to World Bank
     (2016), the per capita income of Bangladesh, a developing country in south Asia in 2016 is 1211.7 USD whereas the per capita
     income of Denmark is 52002.2 USD. Family support is another issue which is important for any student to achieve higher
     education. Gender issue for higher education in various higher educational establishments attracted researchers in recent
     decades for innumerable issues like gender equality and so on (Cama et al., 2016). Many parents do not want to spend more
     money on girls as they think that it's better to spend the money for the boys who will take care for the parents in future. But it is
     positive that the scenario is changing day by day and the rate of success for the girls is very competitive now a day. According
     to UNICEF official website (2016), the female adult literacy rate as a percentage of male is 86.2% during 2008-2012. At this
     stage, we hypothesize that:
     H1. There is a positive relationship between personal factors and financial factor
     B. Political Factors and financial crisis during outbreak
     In most of the developing countries the political stability and strength is not very satisfactory. Many countries are still trying to
     fulfill their primary needs like food, shelter and safety for their citizen. In this circumstance, financial assistance in educational
     sector could be a threat for many developing countries. According to Chen et al (2006), comparatively developing countries
     have diminutive record of democracy and also less apparent government policy and regulation. It's noticeable that the fund for
     education is inadequate especially for higher education in developing countries. Also, population size and growth rate could be
     a key variable for the Government to plan, act and implement the budget of education (Thomas and Homer, 2016). According to
     a data investigation based on Ministry of Finance, Government of developing nations, stipend for primary and secondary school
     has been observed but no stipend for higher education is observed (Unicef, 2016). It's a matter of great regret that the
     Government of Bangladesh imposed 7.5% value added tax on private higher education tuition fees in 2015 which was not
     successful due to protest activities by private university students and other social media (University World News 2007-2014).
     The education authority was under innumerable questions about adopting tax on higher education because, in 2009, a total
     number of 51 private universities provided higher education to above 200,000 students. This figure is around 55% of total
     university students in Bangladesh at that time (The Daily Star, 2016). According to a World Bank report (2016), the
     Government of many developing countries was doing well between 1990 and 2007. For example, in South Asia the primary
     education completion rate rose to 81% from 62%. Within just a time period of 17 years the rate increased by 19% which is
     simply amazing. However, the Government of developing countries may have done excellent work for developing the primary
     education system with lot of benefits and facilities offered. But the higher education development is still under attempt by most
     of the developing counties especially on private sector.
     The figure below represents the scenario of government expenditure on education in different countries in the world. The least
     percentage of GDP has been spent by China, Bangladesh and Sri Lanka which are 1.9, 2.1 and 2 respectively.

     Table 1: Government expenditure on education, total (% of GDP)
     Country                                             1999 2011
     Afghanistan                                            4.1      n/a
     Australia                                              n/a      5.1
     Albania                                                3.4      n/a
     Austria                                                6.1      5.6
     Bangladesh                                             2.1      n/a
     Belgium                                                n/a      6.4
     Bolivia                                                5.7      6.9
     Brazil                                                 3.8      5.7
     Canada                                                 5.6      5.3
     China                                                  1.9      n/a
     Colombia                                               4.4      4.5
     Cuba                                                   6.8      n/a
     Cyprus                                                 4.8      6.6
     Finland                                                5.9      6.5
     Germany                                                n/a      4.8
     India                                                  4.3      3.7

Volume XII, Issue VIII, 2020                                                                                                     Page No: 436
Journal of Xi'an University of Architecture & Technology                                                               ISSN No : 1006-7930

     Ireland                                                4.1     5.9
     Italy                                                  4.5     4.1
     Malaysia                                               5.7     5.9
     Norway                                                 7       6.5
     Sri Lanka                                              n/a     2
     Sweden                                                 6.9     6.5
     UK                                                     4.3     5.8
     USA                                                    4.8     5.2
     Source: World Bank Group, 2016

     At this stage, we hypothesize that,

     H2. There is a positive relationship between political factors and financial factor

     C. The effect of economic factors on education financing

     One of the major economic factors is lack of education financing by various financial institutions due to trust (Park, 2020) in
     developing countries. For example, education loan is offered by various financial institution but the terms and conditions of
     receiving the loan cannot be fulfilled by a student or parents due to their weak financial strength or poor credit record. In
     developing countries, the majority loans are disbursed as a secured loan but education finance is needed for poor students who
     don't have the ability to spend more but have intelligence to pursue higher education. Commercial Banks are more interested
     now a day on business finance or SME finance. They are also offering weeding loan, travel loan, Car loan, Carnival loan,
     Hospitalization loan etc. (Prime Bank, 2016) but education loan seems not very popular in developing countries due to the gap
     of trust or ability between the loan receiver and the provider. According to Daffodil International University website (2015), a
     list of 30 non-banking financial institutions has observed in developing nations but none of them is specifically or non-
     specifically recognized as an education financing institution. At this stage we hypothesize that:
     H3. There is a positive relationship between economic factors and financial factor
     D. Social factors associated with HE financing

     In developing country society is a complex factor and challenge (Wanzenböck & Frenken, 2020) for HE. Many families are
     observed as a big family consists of more than one child. As a result, it's a big issue for the family to finance equally on all
     children. Also, there are many broken family where financing is a big issue for higher education. On the other hand, personal
     risk factors are associated; for example: a student can misuse the money taken from family for higher education. Sometimes the
     parents are not educated enough to look after these issues and they need to depend on their children which they sometimes
     consider as a risk factor. Recently some University students are seen to involve with terrorism activities which made the parents
     worried (BDnews24.com, 2016). At this stage we hypothesize that:
     H4. There is a positive relationship between Social factors and financial factor
     E. Security measures to handle for HE financing

     Lack of trust is highly observed in developing countries due to financial difficulties so that the financial institutions try to take
     strong safety measure for any financial issues regarding HE (Huang, Li, Liao, & Hu, 2018). For this reason, secured financing is
     a comparatively easier method to get financial assistance. However, it is rather complicated that the people, who are capable of
     ensuring secured finance, may don't need financial assistance and vice versa. In addition, the credit rating system has just in the
     beginning stage in many developing countries. Credit rating is not still available for every account holder in the bank or any
     other financial institution. At this stage we hypothesize that:
     H5: There is a positive relationship between Security factors and financial factor
     F. Psychological Factors associated with financing

     Return on HE investment and social bias (Heitor, Horta, & Leocádio, 2016) are a crucial issue for many parents in developing
     countries. Some parents believe that rather than spending money for education they may invest the money for business or share
     market. Many parents have the mentality in developing countries that higher education will bring more money to the family.
     Sometimes, lack of liquid money is a significant factor for higher education financing. As a result, parents or guardians
     sometimes force students to pursue education at low category institutions. Another psychological factor to discuss here is
     limited part time job opportunity for students in developing countries. Dennis et al (2016) noted that satisfaction, trust and
     commitment have a very momentous effect on brand in higher education but due to the financial constraints above it's a big
     challenge for the students of developing countries to pursue higher education in the right place. At this stage we hypothesize
     that:
     H6. There is a positive relationship between psychological factors and financial factor

Volume XII, Issue VIII, 2020                                                                                                    Page No: 437
Journal of Xi'an University of Architecture & Technology                                                           ISSN No : 1006-7930

                                                      3. RESEARCH METHODOLOGY
      Contextual setting
     The respondents are selected from the higher educational institutions in developing countries for a few number of reasons. First,
     the theme of the research includes university students and the impact of COVID-19. Second, the university students are adult
     and their response may increase the generalizability of the research. Finally, based on the cotemporary scenario of the students,
     we selected them as the context of this study.
      Data collection procedure
      The approach taken within this article is inductive and it formulates a theory following the collection of information about the
     higher education in developing countries. The inductive approach is more suitable to this research because it allows a more
     flexible structure. Due to the speculative nature of this article, secondary research methodologies are emphasized which
     increases reliability along with primary data collection. A total number of 400 students from Bangladesh and China including
     male and female students were interviewed from 10 different private and public universities regarding the financial issues of
     higher education using five point Likert scale method. Respondents were asked whether financial issue regarding higher
     education is a major concern or not under various dimensions.

                                                           4. FINDINGS &ANALYSIS
      User Acceptance Questionnaire for Financial Difficulty Analysis
     A total number of six constructs employed by (Shroff, Deneen, & Ng, 2011) which are the focus of the questionnaire used for
     this research. The questionnaire showed in Table 2 includes 18 items that may be divided into six categories: three factors on
     political factors (POF), three factors on personal factors (PEF), three factors on economic factors (ECOF), three items on social
     factors (SOF), three items on security factors (SEF), three items on psychological factors (PSYF) based on the dependent
     variable which also consists of two dimensions. The items are on financial difficulty factors (FINF). Students' responses are
     collected on a 5-point "Likert" scale method where (1 = strongly disagree and 5 = strongly agree).

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Journal of Xi'an University of Architecture & Technology                                          ISSN No : 1006-7930

     Table 2
     Questionnaire for Financial difficulty analysis

     Code                              Item

     POF1            Educational funding is inadequate in my country
     POF2            Educational budget is not distributed properly
     POF3            Political unrest affects our higher education

     PEF1            We have low average income
     PEF2            Our family support is not satisfactory
     PEF3            Gender issue effect on pursuing higher education

     ECOF1           Education financing is not sufficient for us
     ECOF2           Commercial banks are not convenient enough to finance us
     ECOF3           Other financial institutions are not interested enough on education sector

     SOF1            Family issue is crucial for us
     SOF2            There are personal risk factors regarding educational financing
     SOF3            Social welfare is not sufficient enough for higher education
     SOF1            Family issue is crucial for us
     SOF2            There are personal risk factors regarding educational financing
     SOF3            Social welfare is not sufficient enough for higher education
     SEF1            It's difficult to trust people regarding financial issue
     SEF2            Secured financial process is not convenient for us
     SEF3            Credit rating system is not still available for mass people
     PSYF1           There is shortage of liquid money
     PSYF2           Some parents have negative mentality on higher education
     FINF1           Financial issue is the most important issue for our higher education
     FINF2           Our society is highly affected by financial difficulties
     FINF3           Financial difficulties should be reduced for achieving higher education

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Journal of Xi'an University of Architecture & Technology                                                            ISSN No : 1006-7930

                                   Demographics                     Total number

                       Gender of the              Male                         236
                         students                Female                        164
                         Age (Male                18-22                        202
                          student)                23-27                         34
                        Age ( Female              18-22
                          student)                                             140
                                                 23-27                          24
                        Student type       Regular (Full Time)                 376
                                             Irregular (Part
                                                 Time)                           24
                        Employment             Employed                          24
                        status of the         Unemployed
                          students                                             376
                          Parents'              Service                        130
                        Occupation              Business                       154
                                              Unemployed                        20
                                                Retired                         96
                      Parents’ income       3000-4000 USD                      224
                       after Tax (per       4000-5000 USD                      106
                            year)
                                            5000-6000 USD                       44
                                              6000+ USD                         18
                                              Not Sure/not
                                               answered                            8
     Table 3: Breakdown of the demographic status

     The questionnaire was collected from the students in the class as per prior permission by the university authority. Although the
     medium of instruction of the institution is strictly followed by English, for the clarity and authenticity of the research, the
     writers decided to translate the questionnaire in the respondents' local language so that they could come up with crystal clear
     output. Altogether 400 samples were used for correlation and regression analysis to estimate respondents' views about higher
     education financing problems.

       250
       200
       150
        100
         50
          0                                                                            Male
                                                                        Male           Female

     Figure 3: Average money spent by students in one semester (4 months). The local currency has been converted into USD by
     X.E. Currency converter (2015)

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Journal of Xi'an University of Architecture & Technology                                                               ISSN No : 1006-7930

     B. User acceptance results of financial difficulties

     Table 4 describes the reliability result for the scales of respondents' questionnaire. Cronbach's alpha result for each dimension of
     the questionnaire was calculated to examine the strength of reliability. The reliability values ranges from 0.70 to 0.78. The
     reliability results of all the dimensions were above 0.70 which indicates a valid measurement of the response.

                                                             Reliability Analysis
                                  S.NO                 Variable                 Item                Alpha
                                    1                   Political                 3                  .75
                                    2                  Personal                   3                  .72
                                    3                  Economic                   3                  .74
                                    4                    Social                   3                  .73
                                    5                   Security                  3                  .78
                                    6                Psychological                2                  .70
                                    7                  Financial                  3                  .76
                       Table 4: Reliability statistics for the questionnaire scales

     With an attempt to measure strategic flexibility, the authors referred to Sanchez (1995) and framed it with 3 items for each of
     the independent variables excluding one exception, which is the psychological factor. According to Marcus and Fremeth's
     (2009) the authors used these items for further operation.

     Table 5: Factor Loading analysis

                S.NO                                            Variable                                        Factor
                                                                                                                loading
                                                Political Factors (cr= 0.8074) (AVE=0.5829)
                         Problem of Inadequate fund                                                             .741
                         Problem of distribution                                                                .780
                         Effect of Political unrest                                                             .769
                                                Personal Factors (cr=0.7871 ) (AVE=0.5521)
                         Outcome of Low average income                                                          .736
                         Importance of Family support                                                           .744
                         Significance of Gender issue                                                           .749
                                               Economic Factors (cr=0.8074 ) (AVE=0.5829)
                         Problem of education financing                                                         .672
                         Lack of interest by commercial banks                                                   .503
                         Lack of interest by other financial institutions                                       .817

                                                 Social Factors (cr=0.7091) (AVE=0.4574)
                         Impact of family issue                                                                 .741
                         Impact of personal risk factor                                                         .780
                         Lack of social welfare                                                                 .769
                                               Security Factors (cr=0.7746 ) (AVE=0.5355)
                         Lack of trust                                                                          .795
                         Lack of secured financing                                                              .743
                         Absence of credit rating                                                               .650
                         Psychological Factors (cr=0.8091 ) (AVE=0.5859)
                         Mentality for spending on higher education                                             .730
                         Shortage of liquid money                                                               .790

Volume XII, Issue VIII, 2020                                                                                                    Page No: 441
Journal of Xi'an University of Architecture & Technology                                                                         ISSN No : 1006-7930

     Table 6: Correlation analysis

     Table 5 above represents the C.R. (Composite Reliability) and AVE (Average Variance Extracted) of the six variables used in
     this study where the values represents ideal and acceptable score according to statistical experts (McCoach, 2002) including the
     factor loading score of every single items used in this study. Table 6 below is the representation of correlation analysis.

     Table 6 above represents the correlation analysis of this study. The result indicates that the results are highly correlated among
     all the variables used in this study.

     variable
                         Mean         S.D         1          2             3             4          5           6        7
     1.Financial(DV)     4.807        .394        1
     2. Political        4.588        .401        .32**      0.58
                                                        **
     3. Personal         4.510        .399        .30        .47**         0.55
     4. Economic         4.445        .371        .29**      .48**         .39**          0.58
     5. Social           4.545        .362        .15**      .46**         .51**         .35**       0.45
                                                        **         **          **              **
     6. Security         4.569        .382        .24        .45           .53           .40        .47**       0.53
     7.psychological     4.510        .418        .35**      .61**         .50**         .44**      .49**       .46**     0.58

     Variable                    Model 1      Model 2            Model 3            Model 4         Model 5         Model 6
                                 Beta         Beta               Beta               Beta            Beta            Beta
     Personal Factors            .30***
     Political Factors                        .315***
     Social Factors                                              .164**
     Security Factors                                                               .254***
     Psychological Factors                                                                          .338***         .
                                                                                                                    314***
     Economic Factors
     Observations                400          400                400                400             400             400
     R Square                    .09          .103               .023               .061            .129            .087
     Adjusted R Square           0.092        .101               .020               .058            .127            .085
     F value                     41.456***    45.640***          9.292**            25.687***       58.833***       37.995***

     Table 7: Regression analysis

     According to the regression analysis described in Table 7, it is clearly observed that the independent variables in this study are
     correlated and significantly affect the dependent variable of the study. All six hypotheses in this study are supported, which
     indicates that the financial issue is a major concern due to COVID-19 in HE development in developing countries.

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Journal of Xi'an University of Architecture & Technology                                                               ISSN No : 1006-7930

     Hypotheses design                                                                            Status
     H1. There is a positive relationship between personal factors and financial factor          Supported

     H2. There is a positive relationship between political factors and financial factor          Supported

     H3. There is a positive relationship between economic factors and financial factor          Supported

     H4. There is a positive relationship between Social factors and financial factor             Supported

     H5. There is a positive relationship between Security factors and financial factor           Supported

     H6. There is a positive relationship between psychological factors and financial factor      Supported

     Table 8: Hypothesis testing result

                                                  Financial
                                                  Assurance
                                                  10
                         Satisfactio                                       Understan
                                                    8
                              n                                              ding
                                                    6
                                                    4
               Importanc                            2                                Communic
                   e                                                                   ation
                                                    0

                    Perceptio
                                                                                 Expertise
                        n
                                                                                           Radar Chart for pursuing
                                                                    Self-                  higher education criteria
                                  Expectatio
                                                                  Developm
                                      n
                                                                     ent

     Figure 4: Radar chart for pursuing higher education criteria

     As presented in figure 4 above, the radar chart represents the most crucial issue of HE during COVID-19 which is nothing but
     financial assurance. This criterion is treated as the most important issue due to COVID-19 effects, for achieving quality higher
     education in developing countries.

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Journal of Xi'an University of Architecture & Technology                                                         ISSN No : 1006-7930

                             School closure - COVID-19
      140      133

      120
      100
       80            68.21
       60                                                       50

       40                                                            25.64
       20                       4                                              7     3.59
                                    2.05        1     0.51
        0
                Closed         Closed in       Seasonal        Open with           Open
                             selected area     Closures        limitations

                                    No of countries     Percentage

     Figure 5: School closure status in the world. Source: The World Bank, 2020

     Consistent with our research findings, most of the countries in the world closed educational institutions to ensure the safety
     measures of the students (The World Bank, 2020). To continue smart learning or e-learning, technological support, device
     management, Apps purchase, Wi-Fi facilities, and so on are major issues in many developing countries in the world. Apart from
     that, COVID-19 reduced the income level of parents and guardians of the students. As a result, universities should receive the
     subsidy and sufficient funding to ensure sustainable HE development.

     Figure     6: Scatterplot Matrix

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Journal of Xi'an University of Architecture & Technology                                                             ISSN No : 1006-7930

     Figure 6 above is the representation of Social, Psychological, Economic, Personal, Political and Security factors in scatterplot
     matrix. The graph clearly indicates that economic and social factors are most significant factors in this case and the same
     representation is observed below in Figure 7 with GGraph analysis.

     Figure 7: GGraph - Parallel: Social-Psychological-Economic-Personal-Political-Security

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Journal of Xi'an University of Architecture & Technology                                                             ISSN No : 1006-7930

                                                     5. IMPLICATIONS AND CONCLUSIONS
      Theoretical implications

     This study shows a few important theoretical contributions. First, this study utilizes TAM (Venkatesh, Thong, & Xu, 2012)
     theory in terms of technology acceptance-based of affordability where TAM is extended in terms of financial capability of the
     students in developing countries. Second, this study provides insights into the financial assurance in HE sector to ensure
     sustainable educational development based on smart education and e-learning opportunity due to COVID-19 pandemic. Finally,
     through the inclusion of the financial assistance is complicated and uncertain, the study added a significant contribution to the
     current literature to know the fact and plan accordingly.

      Managerial Implications

     Due to COVID-19, the HE sector in developing countries is under threat due to technological unavailability and affordability
     issues. It is very crucial to support the higher education sector with the necessary financing as soon as possible. Some reputed
     Private Universities in different developing countries are playing a significant role in this phenomenon. The financial crisis
     should be handled properly otherwise it would be just a dream for many talented students to achieve a higher degree. The
     Government should take necessary measures to encourage the private sector to play an optimistic role in the enlargement and
     diversification of quality higher education to uphold quality higher education in the   country.

      Limitations and future research

     The study covered a very limited number of students in respect of its real scope around a few developing countries. Sometimes
     respondents may not involve in expressing their truthful opinion due to COVID-19 pandemic and psychological disorder due to
     an uncertain future. To overcome these limitations, an intensive study of existing literature in this field with a mixed
     methodology approach may discover the phenomenon better. Data obtained from a few regions may affect the generalizability
     of the research. Opportunities for potential research have emerged as a result of this research. The study primarily focused on a
     limited number of university students in few developing nations only. Future research should comprise more universities along
     with the responses from students, academic staff, administrative staff, and employers. This may provide a better-off data for
     investigation. Data taken from numerous sources are improved than data taken from a single source (Summers, 2001).
     Financing for HE for technology-enhanced learning (Webster, 2020) will ensure sustainable academic development in
     developing nations.

     Funding: There is no funding received for this research.

     Conflict of interest: There is no conflict of interest in this study

     Acknowledgment: The authors sincerely thank Professor Selina Nargis, IUBAT—International University of Business
     Agriculture and Technology, Dhaka, Bangladesh, for her encouragement and motivation towards scientific research and
     publication. The authors are also grateful to the anonymous reviewers for their invaluable feedback and comments.

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Journal of Xi'an University of Architecture & Technology                                                                                         ISSN No : 1006-7930

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