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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 5, July-August 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD32911 | Volume – 4 | Issue – 5 | July-August 2020 Page 617
Factors Affecting Enterprises' Access to
Formal Credit in Can Tho City, Vietnam
Nguyen Quoc Nghi, La Nguyen Thuy Dung
College of Economics, Can Tho University, Can Tho, Vietnam
ABSTRACT
The objective of the study is to identify factors affecting the formal credit
accessibility of enterprises in Can Tho City. Research datawerecollectedusing
a quota sampling with a sample size of 300 active enterprises. The binary
logistic regression wasadopted. The study showed thatfactorsinfluencingthe
access to formal credit of enterprises are the manager's level of education,
management experience, operation time, business size, fixed asset, and social
capital. In which, the business size is the most powerful factor affecting the
formal credit accessibility of enterprises.
KEYWORDS: Accessibility, formal credit, enterprise
How to cite this paper: Nguyen Quoc
Nghi | La Nguyen Thuy Dung "Factors
Affecting Enterprises' Access to Formal
Credit in Can Tho City, Vietnam"
Published in
International Journal
of Trend in Scientific
Research and
Development(ijtsrd),
ISSN: 2456-6470,
Volume-4 | Issue-5,
August 2020, pp.617-
620, URL:
www.ijtsrd.com/papers/ijtsrd32911.pdf
Copyright © 2020 by author(s) and
International Journal of TrendinScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
Commons Attribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
1. INTRODUCTION
Enterprises play an essential role in the economic growth
of many countries (Omar et al., 2009; Ayyagari et al., 2007),
address unemployment, increase incomes for people, and
stabilize the social-economy. In the processofinternational
economic integration, besides favorable conditions for
enterprises to expand the business and access to advanced
technologies, it also creates an increasingly competitive
environment. As a result, enterprises have to continuously
improve resources to survive and develop, in which,
financial resources are essential. Financial resources help
enterprises expand production scale, enhancethequalityof
human resources, and smoothly apply new technologies to
grow in depth. Therefore, ensuring financial sources is a
vital issue of every enterprise. In the world, depending on
the development level of financial products and the capital
market of each country, enterprise scan access different
capital resources from banks, credit funds, and financial
institutions. Credit accessibility contributes to improving
financial resources and positively affecting the
performance of enterprises (Okpara and Wynn, 2007;
Chittithaworn, 2011; Kinyua, 2013; Sitharam and Hoque,
2016). This study was conducted to identify factors
affecting enterprises' access to formal credit: a case study
in Can Tho City, Vietnam.
2. RESEARCH HYPOTHESES
The relationship between the manager’s education level and
formal credit accessibility. The education levels of business
owners influence enterprises’ access to formal credit
(Akoten et al., 2006). According to Nghi (2011), the
education level of business owners is positively correlated
with enterprises' ability to access formal credit. From the
above discussion, hypothesisH1 isproposed as follows: The
education level of business owners positively affects
enterprises' access to formal credit.
The relationship between management experiences and the
formal credit accessibility of enterprises. Nghi (2010) has
suggested that the management experiences of business
owners positively impact enterprises' ability to access
formal credit. The management experiences are positively
correlated with the success of entrepreneurs and increase
their access to formal credit (Akoten et al., 2006;Quarteyet
al., 2017). Hence, the study hypotheses H2: Management
experiences of business owners positively affects
enterprises' access to formal credit.
The relationship between the operation time and the accessto
formal credit of enterprises. According to Bebczuk (2004),
Thien (2012), Hien (2012), businesses’ operation time hasa
positive influence on their access to formal credit.Therefore,
the hypothesis H3 is as follows: The operation time
positively affects the ability to access formal credit of
enterprises.
The relationship between business size and access to formal
credit. Studies by Ongena and Smith (2001), Zhao et al.,
(2006), Nghi (2011) have demonstrated that business size
IJTSRD32911
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD32911 | Volume – 4 | Issue – 5 | July-August 2020 Page 618
has a beneficial impact on the enterprise’s ability to access
credit. Therefore, the study suggestsH4 as:Thebusinesssize
positively influences the formal credit accessibility of
enterprises.
The relationship between fixed assets and the formal credit
accessibility of enterprises. Research by Bbenkele (2007),
Hien (2012) has shown that fixed assets have a positive
impact on enterprises' ability to access formal credit. In
addition to this, Waked (2016) proved a positive
relationship between the value of fixed assets and access to
formal credit. Thus, the hypothesis H5 is as follows: Fixed
assets have a positive impact on the ability to access formal
credit of enterprises.
The relationship between social capital and the formal credit
accessibility of enterprises. Researches by Zhao et al. (2006),
Nghi (2011),Waked (2016)showed that thebusiness’ssocial
relationships positively impact their access to formal credit.
Thus, the study sets out H6: The social capital positively
affects the formal credit accessibility of enterprises.
To identify factors affecting enterprises' formal credit
accessibility in Can Tho City, the research model was
proposed below.
Y = β0 + β1X1 + β2X2 + β3X3 + β4X4 + β5X5 + β6X6
In which: The dependent variable (Y) is the enterprise's ability
to access formal credit (get value 1 if the enterprise has access
to credit from official credit institutions, otherwise get value
0). Variables Xi are independent variables (explanatory
variables) that are explained in detail in Table 1.
Table 1: Interpretation of independent variables in the research model
No. Variable’s name Interpretation Expectation
1
The manager’s
education level
Get value corresponding to the manager’s education level: 1 = Intermediate
or lower, 2 = College, 3 = University, 4 = Postgraduate.
+
2
Management
experience
Measured by the number of years directly involved in the administration of
the manager (year).
+
3 Operation time
Measured by the number of operation years of the enterprise up to the time
of the study (year)
+
4 Business size
Get the value corresponding to the size of the enterprise: 1 = micro, 2 =
small, 3 = medium, 4 = large.
+
5 Fixed assets Get the value corresponding to the total value of fixed assets (billion VND). +
6 Social capital
The relationship between the enterprise and regulatory agencies or
associations. Measured by a 5-level Likert scale.
+
Source: Authors’ proposal, 2019
3. RESEARCH METHODOLOGY
For the research hypotheses test, the study used binary logistic regression to identify factors affectingenterprises'access to
formal credit. According to Green (1991), Tabachnick and Fidell (1996), the minimum sample sizeintheregressionanalysis
is calculated by the formula 50 + 8m (m is the number of independent variables). The research model was set up with six
independent variables, which means the sample size has to be at least 98 observations. The quota sampling was used to
collect primary data, with a sample size of 300 active enterprises in Can Tho City. Thus, the sample size meets the
modeltest’s requirement.
4. RESEARCH RESULTS AND DISCUSSIONS
4.1. The formal credit accessibility of enterprises
Based on the statistical result in Table 2, there are two formal creditinstitutions thatenterprises can access. A few enterprises
can access many credit institutions. Enterprises can access official credit institutions withan amount of 24 billion VND. The
highest amount of approached capital is 1,200 billion VND.
Table 2: Formal credit accessibility of enterprises
Criteria Min Max Mean Standard deviation
The number of credit institutions can be accessed 0 10,00 2,25 1,58
The number of money enterprises can borrow (billion VND) 0 1198,0 23,80 102,40
Source: Survey data of 300 enterprises, 2019
4.2. Factors affecting the access to formal credit of enterprises
The correlation values among independent variables are all less than 0.8, so the multicollinearityin the model can beignored.
The binary logistic regression shows that: (1) The hypothesis test of the composite conformity hasa significance level of Sig.=
0.00,so hypothesis Hois rejected. That means there exist linear relationships between thevariablesinthemodelandtheformal
credit accessibility;(2) The percentagecorrect of the model is 81%, this number isappropriate fora binary regression model.
Based on Table 3, all six factors included in the model are statistically significant, whichmeans these factorsaffectenterprises'
access to formal credit. They are managers’ qualifications,management experience, operation time, business size,fixedassets,
and social capital. In particular, the business size most strongly affects the ability to access formal credit. The impact level of
each factor is presented below.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD32911 | Volume – 4 | Issue – 5 | July-August 2020 Page 619
Table 3: Binary logistic regression result
Factor B Sig. Exp(B)
Constant -12.404 0.000 0.001
Education level 0.612 0.011 1.845
Management experience 0.152 0.009 1.164
Operation time 0.123 0.006 1.131
Business size 1.140 0.001 3.126
Fixed asset 0.057 0.014 1.058
Social capital 0.869 0.000 2.385
Sig. 0.000
Percentage correct 81%
Source: Survey data of 300 enterprises, 2019
ThestudyacceptsthehypothesisH1ata 5%significancelevel.
The level of education of enterprises’ owners positively
impacts their access to formal credit. This result proves that
thehighertheeducational levelofbusinessowners,theeasier
it is for them to access formal credit from financial
institutions.ThefindingisconsistentwithstudiesofAkotenet
al. (2006), Nghi (2011).
The hypothesis H2 is accepted at a 1% significance level,
which points out that management experience positively
affects enterprises' formal credit accessibility. In other
words, if the business owner has experience in
administration, the ability to access formal credit will be
higher. The resultis similar to studies of Akoten et al.
(2006), Nghi (2010), Quartey et al. (2017).
AcceptinghypothesisH3ata significancelevelof1%.Itmeans
the operation time of enterprises beneficially affects their
accesstoformalcredit. The enterprisethat haslongoperation
timecanapproachformalcredit easily. Thisresultagreeswith
the researches ofBebczuk(2004),Thien(2012), Hien(2012).
Hypothesis H4 is accepted at a 1% significance level which
says thebusinesssizepositivelyinfluences enterprises'ability
to access formal credit. As a result, the larger the size of the
enterprise, themorefavorabletheaccesstoformalcredit.The
discovery is consistent with those of Ongena and Smith
(2001), Zhao et al. (2006), Nghi (2011).
Accepting hypothesis H5 at a significance level of 5%, this
shows that the fixed assetaffect enterprises'accesstoformal
credit positively. The enterprise with more fixed assets will
have a higher ability toapproachformalcredit.Thefindingis
similar to the studies of Bbenkele (2007), Hien (2012), and
Waked (2016).
The authors accept hypothesis H6 at a 1% significance
level. The social relationships of enterprises put a positive
impact on their access to formal credit. In other words, if
enterprises’ owners have good relationships with state
administrative agencies and associations, access to formal
credit will be more favorable. The research result agrees
with those of Zhao et al. (2006), Nghi (2011), and Waked
(2016).
5. CONCLUSION
Overall, the formal credit accessibility of enterprises in Can
ThoCityisfavorable. Thenumber offormalcreditinstitutions
accessed by enterprises is large and diverse. The study has
indicatedfactorsaffectingenterprises'abilitytoaccessformal
credit are the education level of business owners,
management experience, operation time, business size, fixed
assets, andsocialcapital. Amongthem, thebusinesssizeisthe
most powerful factor impacting formal credit accessibility.
References
[1] Akoten, J. E., Sawada, Y., & Otsuka, K. (2006). The
determinants of credit accessand its impacts on micro
and small enterprises: The case of garment producers
in Kenya. Economic development and cultural
change, 54(4), 927-944.
[2] Ayyagari, M., Beck, T., & Demirguc-Kunt, A. (2007).
Small and medium enterprises across the globe. Small
business economics, 29(4), 415-434.
[3] Bbenkele, E. K. (2007). An investigation of small and
medium enterprises' perceptions towards services
offered by commercial banks in South Africa. African
journal of accounting, economics, finance and banking
research, 1(1), 13-25.
[4] Bebczuk, R. N. (2004). What determines the access to
credit by SMEs in Argentina?. Documentos de Trabajo.
[5] Chittithaworn, C., Islam, M. A., Keawchana, T., & Yusuf,
D. H. M. (2011). Factors affecting the business success
of small & medium enterprises (SMEs) in Thailand.
Asian social science, 7(5), 180-190.
[6] Green, S. B. (1991). How many subjects does it take to
do a regression analysis?. Multivariate behavioral
research, 26(3), 499-510.
[7] Hien, P. H. (2012). Analyze factors affecting the access
to bank credit of small and medium enterprises in An
Giang Province. Master thesis. Can Tho University.
[8] Kinyua, A. N. (2013). Factors affecting the performance
of Small and Medium Enterprises in the Jua kali sectorin
Nakuru Town, Kenya (Doctoral dissertation, Egerton
University).
[9] Nghi, N. Q. (2010). Factors affecting bank loan
decisions of small and medium enterprises in Can Tho
City. Banking Review, 23, 42-47.
[10] Nghi, N. Q. (2011). Bank loan decisions of private
enterprises in the Mekong Delta. Banking Science &
Training Review, 104-105, 81-85.
[11] Okpara, J. O., &Wynn, P. (2007). Determinants ofsmall
business growth constraints in a sub-Saharan African
economy. SAM advanced management journal, 72(2),
24-35.
[12] Omar, S. S., Arokiasamy, L., & Ismail, M. (2009). The
background andchallenges faced by smallandmedium
enterprises. A human resources development
perspective. International Journal of Business and
Management, 4(10), 95-102.
[13] Ongena, S., & Smith, D. C. (2001). The duration of bank
relationships. Journal of financial economics, 61(3),
449-475.
[14] Quartey, P., Turkson, E., Abor, J. Y., & Iddrisu, A. M.
(2017). Financing the growth of SMEs in Africa: What
are the constraints to SME financing within
ECOWAS?.Review of development finance, 7(1), 18-28.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD32911 | Volume – 4 | Issue – 5 | July-August 2020 Page 620
[15] Sitharam, S., & Hoque, M. (2016). Factors affecting the
performance of small and medium enterprises in
KwaZulu-Natal, South Africa. Problemsandperspectives
in Management, 14(2-2), 277-288.
[16] Tabachnick, B. G., and Fidell, L. S. (1996). Using
multivariate statistics (3rd ed.). New York: Harper
Collins.
[17] Thien, N. V. (2012). Analyze factors affecting theaccess
to bank credit ofsmall and medium enterprisesinVinh
Long Province. Master thesis. Can Tho University.
[18] Waked, B. (2016). Access to Finance by Saudi SMEs:
Constraints and the Impact on their
Performance (Doctoral dissertation, Victoria
University).
[19] Zhao, H., Wu, W., &Chen, X. (2006). What factors affect
small and medium-sized enterprise's ability to borrow
from bank: Evidence from Chengdu City, capital of
South-Western China's Sichuan province (No. 23).
Working paper.

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factors affecting enterprises' access to formal credit in can tho city, vietnam

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 5, July-August 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD32911 | Volume – 4 | Issue – 5 | July-August 2020 Page 617 Factors Affecting Enterprises' Access to Formal Credit in Can Tho City, Vietnam Nguyen Quoc Nghi, La Nguyen Thuy Dung College of Economics, Can Tho University, Can Tho, Vietnam ABSTRACT The objective of the study is to identify factors affecting the formal credit accessibility of enterprises in Can Tho City. Research datawerecollectedusing a quota sampling with a sample size of 300 active enterprises. The binary logistic regression wasadopted. The study showed thatfactorsinfluencingthe access to formal credit of enterprises are the manager's level of education, management experience, operation time, business size, fixed asset, and social capital. In which, the business size is the most powerful factor affecting the formal credit accessibility of enterprises. KEYWORDS: Accessibility, formal credit, enterprise How to cite this paper: Nguyen Quoc Nghi | La Nguyen Thuy Dung "Factors Affecting Enterprises' Access to Formal Credit in Can Tho City, Vietnam" Published in International Journal of Trend in Scientific Research and Development(ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5, August 2020, pp.617- 620, URL: www.ijtsrd.com/papers/ijtsrd32911.pdf Copyright © 2020 by author(s) and International Journal of TrendinScientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) 1. INTRODUCTION Enterprises play an essential role in the economic growth of many countries (Omar et al., 2009; Ayyagari et al., 2007), address unemployment, increase incomes for people, and stabilize the social-economy. In the processofinternational economic integration, besides favorable conditions for enterprises to expand the business and access to advanced technologies, it also creates an increasingly competitive environment. As a result, enterprises have to continuously improve resources to survive and develop, in which, financial resources are essential. Financial resources help enterprises expand production scale, enhancethequalityof human resources, and smoothly apply new technologies to grow in depth. Therefore, ensuring financial sources is a vital issue of every enterprise. In the world, depending on the development level of financial products and the capital market of each country, enterprise scan access different capital resources from banks, credit funds, and financial institutions. Credit accessibility contributes to improving financial resources and positively affecting the performance of enterprises (Okpara and Wynn, 2007; Chittithaworn, 2011; Kinyua, 2013; Sitharam and Hoque, 2016). This study was conducted to identify factors affecting enterprises' access to formal credit: a case study in Can Tho City, Vietnam. 2. RESEARCH HYPOTHESES The relationship between the manager’s education level and formal credit accessibility. The education levels of business owners influence enterprises’ access to formal credit (Akoten et al., 2006). According to Nghi (2011), the education level of business owners is positively correlated with enterprises' ability to access formal credit. From the above discussion, hypothesisH1 isproposed as follows: The education level of business owners positively affects enterprises' access to formal credit. The relationship between management experiences and the formal credit accessibility of enterprises. Nghi (2010) has suggested that the management experiences of business owners positively impact enterprises' ability to access formal credit. The management experiences are positively correlated with the success of entrepreneurs and increase their access to formal credit (Akoten et al., 2006;Quarteyet al., 2017). Hence, the study hypotheses H2: Management experiences of business owners positively affects enterprises' access to formal credit. The relationship between the operation time and the accessto formal credit of enterprises. According to Bebczuk (2004), Thien (2012), Hien (2012), businesses’ operation time hasa positive influence on their access to formal credit.Therefore, the hypothesis H3 is as follows: The operation time positively affects the ability to access formal credit of enterprises. The relationship between business size and access to formal credit. Studies by Ongena and Smith (2001), Zhao et al., (2006), Nghi (2011) have demonstrated that business size IJTSRD32911
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD32911 | Volume – 4 | Issue – 5 | July-August 2020 Page 618 has a beneficial impact on the enterprise’s ability to access credit. Therefore, the study suggestsH4 as:Thebusinesssize positively influences the formal credit accessibility of enterprises. The relationship between fixed assets and the formal credit accessibility of enterprises. Research by Bbenkele (2007), Hien (2012) has shown that fixed assets have a positive impact on enterprises' ability to access formal credit. In addition to this, Waked (2016) proved a positive relationship between the value of fixed assets and access to formal credit. Thus, the hypothesis H5 is as follows: Fixed assets have a positive impact on the ability to access formal credit of enterprises. The relationship between social capital and the formal credit accessibility of enterprises. Researches by Zhao et al. (2006), Nghi (2011),Waked (2016)showed that thebusiness’ssocial relationships positively impact their access to formal credit. Thus, the study sets out H6: The social capital positively affects the formal credit accessibility of enterprises. To identify factors affecting enterprises' formal credit accessibility in Can Tho City, the research model was proposed below. Y = β0 + β1X1 + β2X2 + β3X3 + β4X4 + β5X5 + β6X6 In which: The dependent variable (Y) is the enterprise's ability to access formal credit (get value 1 if the enterprise has access to credit from official credit institutions, otherwise get value 0). Variables Xi are independent variables (explanatory variables) that are explained in detail in Table 1. Table 1: Interpretation of independent variables in the research model No. Variable’s name Interpretation Expectation 1 The manager’s education level Get value corresponding to the manager’s education level: 1 = Intermediate or lower, 2 = College, 3 = University, 4 = Postgraduate. + 2 Management experience Measured by the number of years directly involved in the administration of the manager (year). + 3 Operation time Measured by the number of operation years of the enterprise up to the time of the study (year) + 4 Business size Get the value corresponding to the size of the enterprise: 1 = micro, 2 = small, 3 = medium, 4 = large. + 5 Fixed assets Get the value corresponding to the total value of fixed assets (billion VND). + 6 Social capital The relationship between the enterprise and regulatory agencies or associations. Measured by a 5-level Likert scale. + Source: Authors’ proposal, 2019 3. RESEARCH METHODOLOGY For the research hypotheses test, the study used binary logistic regression to identify factors affectingenterprises'access to formal credit. According to Green (1991), Tabachnick and Fidell (1996), the minimum sample sizeintheregressionanalysis is calculated by the formula 50 + 8m (m is the number of independent variables). The research model was set up with six independent variables, which means the sample size has to be at least 98 observations. The quota sampling was used to collect primary data, with a sample size of 300 active enterprises in Can Tho City. Thus, the sample size meets the modeltest’s requirement. 4. RESEARCH RESULTS AND DISCUSSIONS 4.1. The formal credit accessibility of enterprises Based on the statistical result in Table 2, there are two formal creditinstitutions thatenterprises can access. A few enterprises can access many credit institutions. Enterprises can access official credit institutions withan amount of 24 billion VND. The highest amount of approached capital is 1,200 billion VND. Table 2: Formal credit accessibility of enterprises Criteria Min Max Mean Standard deviation The number of credit institutions can be accessed 0 10,00 2,25 1,58 The number of money enterprises can borrow (billion VND) 0 1198,0 23,80 102,40 Source: Survey data of 300 enterprises, 2019 4.2. Factors affecting the access to formal credit of enterprises The correlation values among independent variables are all less than 0.8, so the multicollinearityin the model can beignored. The binary logistic regression shows that: (1) The hypothesis test of the composite conformity hasa significance level of Sig.= 0.00,so hypothesis Hois rejected. That means there exist linear relationships between thevariablesinthemodelandtheformal credit accessibility;(2) The percentagecorrect of the model is 81%, this number isappropriate fora binary regression model. Based on Table 3, all six factors included in the model are statistically significant, whichmeans these factorsaffectenterprises' access to formal credit. They are managers’ qualifications,management experience, operation time, business size,fixedassets, and social capital. In particular, the business size most strongly affects the ability to access formal credit. The impact level of each factor is presented below.
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD32911 | Volume – 4 | Issue – 5 | July-August 2020 Page 619 Table 3: Binary logistic regression result Factor B Sig. Exp(B) Constant -12.404 0.000 0.001 Education level 0.612 0.011 1.845 Management experience 0.152 0.009 1.164 Operation time 0.123 0.006 1.131 Business size 1.140 0.001 3.126 Fixed asset 0.057 0.014 1.058 Social capital 0.869 0.000 2.385 Sig. 0.000 Percentage correct 81% Source: Survey data of 300 enterprises, 2019 ThestudyacceptsthehypothesisH1ata 5%significancelevel. The level of education of enterprises’ owners positively impacts their access to formal credit. This result proves that thehighertheeducational levelofbusinessowners,theeasier it is for them to access formal credit from financial institutions.ThefindingisconsistentwithstudiesofAkotenet al. (2006), Nghi (2011). The hypothesis H2 is accepted at a 1% significance level, which points out that management experience positively affects enterprises' formal credit accessibility. In other words, if the business owner has experience in administration, the ability to access formal credit will be higher. The resultis similar to studies of Akoten et al. (2006), Nghi (2010), Quartey et al. (2017). AcceptinghypothesisH3ata significancelevelof1%.Itmeans the operation time of enterprises beneficially affects their accesstoformalcredit. The enterprisethat haslongoperation timecanapproachformalcredit easily. Thisresultagreeswith the researches ofBebczuk(2004),Thien(2012), Hien(2012). Hypothesis H4 is accepted at a 1% significance level which says thebusinesssizepositivelyinfluences enterprises'ability to access formal credit. As a result, the larger the size of the enterprise, themorefavorabletheaccesstoformalcredit.The discovery is consistent with those of Ongena and Smith (2001), Zhao et al. (2006), Nghi (2011). Accepting hypothesis H5 at a significance level of 5%, this shows that the fixed assetaffect enterprises'accesstoformal credit positively. The enterprise with more fixed assets will have a higher ability toapproachformalcredit.Thefindingis similar to the studies of Bbenkele (2007), Hien (2012), and Waked (2016). The authors accept hypothesis H6 at a 1% significance level. The social relationships of enterprises put a positive impact on their access to formal credit. In other words, if enterprises’ owners have good relationships with state administrative agencies and associations, access to formal credit will be more favorable. The research result agrees with those of Zhao et al. (2006), Nghi (2011), and Waked (2016). 5. CONCLUSION Overall, the formal credit accessibility of enterprises in Can ThoCityisfavorable. Thenumber offormalcreditinstitutions accessed by enterprises is large and diverse. 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