MINISTRY OF EDUCATION AND TRAINING UNIVERSITY OF

ECONOMICS HO CHI MINH CITY

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MAI XUAN DAO

RELATIONSHIP AMONG GOVERNMENT EXPORT SUPPORT,

PERCEIVED EXPORT STIMULI, PERCEIVED EXPORT

BARRIERS AND EXPORT PERFORMANCE IN VIETNAMESE

SMES EXPORTING AGRICULTURAL PRODUCTS TO ASEAN+3

Major: Commercial Business

Code: 9340121

SUMMARY OF ECONOMIC DOCTORAL DISSERTATION

Hochiminh City - 2021

The research was conducted and completed: at University of Economics Ho Chi Minh city

Scientific instructors:

Assoc. Prof. Dr. Le Tan Buu

Dr. Ngo Thi Ngoc Huyen

Reviewer 1: …………………………………………

Reviewer 2:………………………………………….

Reviewer 3: …………………………………………

The dissertation will be defended at University of Economics Ho Chi Minh City at…………………………………………….

The dissertation can be found at the following library:

……………………………………………………………….

LIST OF THE AUTHOR’S PUBLICATIONS RELATED TO THE DISSERTATION

University level scientific research work:

Mai Xuan Dao, Nguyen Thi Cam Loan, Tran Thi Lan Nhung (2020).

Relationship among perceived export barriers, firm characteristics and

ASEAN+3 market selection. The case of Vietnamese small and medium-

sized agricultural exporting enterprises. University of Finance and

Marketing scientific research work. Work manager.

Journal:

Le Tan Buu, Mai Xuan Dao (2020). The effect of perceived export stimuli

on ASEAN+3 export market selection from Vietnamese small and medium-

sized agricultural exporting enterprises. Journal of Finance and Marketing,

55, 49-62.

International Conference:

1. Le Tan Buu & Mai Xuan Dao (2019). Effect of perceived external

Issues

export motives and barriers on ASEAN+3 export market selection: The case of small and medium-sized agricultural exporters in Vietnam. The 2nd International Conference on Contemporary in Economics, Management and Business - CIEMB 2019. November 26th – 27th, 1631-1652.

2. Le Tan Buu, Mai Xuan Dao & Dang Thi Thanh Mai (2020). The

relationship among government support programs, perceived export stimuli

and export performance: the case of Vietnamese small and medium-sized agricultural enterprises exporting to ASEAN+3. The 3rd International Conference on Contemporary Issues in Economics, Management and Business - CIEMB 2020. November 18th – 19th, 1625-1642.

3. Mai Xuan Dao, Nguyen Thi Thuy Giang, Tran Thi Lan Nhung & Ta

Hoang Thuy Trang (2020). Effect of perceived export stimuli and export

barriers on export performance: the case of Vietnamese agricultural SMEs

exporting to ASEAN+3. International Conference on Finance – Accounting

for promoting Sustainable Development in Private Sector – FASPS 2020. December 10th, 2020.

1 CHAPTER 1: INTRODUCTION

1.1. The necessity of research problems

1.1.1. Derived from practical needs

Since 2012, Vietnam has shifted from a trade deficit to a trade surplus.

However, Vietnam has a trade deficit in some markets, especially the

ASEAN+3 with about 60 billion USD in the recent four years 2017, 2018,

2019 and 2020 (The author calculated from the Ministry of Industry and Trade

import and export report data in 2018, 2019, 2020 and Customs statistics

2021b). Besides, as an agricultural country, agricultural products are

traditional exports of Vietnam and ASEAN+3 are the main export markets.

The problem of trade deficit with ASEAN+3 can be solved by finding ways

to boost agricultural exports of Vietnamese SMEs to this market group. In

addition, the increase in ASEAN+3 export also creates jobs for the majority

of the population, suitable for SMEs with limited resources which have

difficulties to export to far distance markets. To achieve this, it is necessary to

understand which perceived export stimuli and barriers are hindering their

export performance to ASEAN+3. In addition, according to the White paper

SMEs (2017), Vietnamese SMEs have internal and external difficulties, so

Government export support programs are needed for them. Whether firms

appreciate the benefits of Government export support in contributing to

increase stimuli, reduce export barriers for firms, affecting export

performance or not, should also be studied.

1.1.2. Derived from the theory gap

There are many foreign studies on the direct and indirect relationship between

Government export support and firm export performance. In the indirect

relationship, perceived export barrier is the mediator variable just studied by

Karakaya and Yannopoulos (2012) and there are not any studies of perceived

export stimuli as mediator variable. For domestic studies related to the

dissertation, the review shows that there is a lack of quantitative studies on the

relationship among Government export support, perceived export stimuli,

perceived export barriers, export performance and test the relationship among

these factors. Therefore, it shows the practical needs and the theoretical needs

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to fill the research gaps when the foreign and domestic studies have not yet

tested the relationship among Government export support, SMEs perceived

export stimuli, perceived export barriers and export performance in a

developing country, with a transitional economy as Vietnam.

1.2. Research objectives

First, building a relationship model among Government export support,

perceived internal export stimuli, perceived external export stimuli, perceived

internal export barriers, perceived external export barriers and export

performance and testing on these relationships.

Second, test on the relationship differences among the model factors based on

firm characteristics.

Third, suggesting some managerial implications for SMEs and some policy-

makers.

1.3. Research object and scope

Research object is the relationships among Government export support,

perceived internal export stimuli, perceived external export stimuli, perceived

internal export barriers, perceived external export barriers and export

performance.

Subjects in the qualitative research are Board of director members in official,

direct agricultural exporting SMEs to ASEAN+3, representatives of state

management agencies related to agricultural products and export promotion,

some scientists are lecturers. Respondents in quantitative research are

directors/deputy directors, chief/deputy export sales managers or staff who

have more than 5 years of working experience in the surveyed firms.

The theoretical scope is to approach the perceived export stimuli and barriers

based on internal stimuli, external stimuli, internal barriers and external

barriers; Government export support based on groups of support programs;

export performance based on subjective scale. The research was conducted in

the North, Central, Highlands and South of Vietnam. The research time for

qualitative research was in 2019.

1.4. Research methodology

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Research methodology is qualitative and quantitative. Qualitative research

was conducted through in-depth interviews and focus group to adjust the

scales to suit the research context. Quantitative research is conducted through

Smart-PLS software with 120 SMEs surveyed to preliminarily evaluate the

measurement model in the pilot quantitative research, 257 SMEs surveyed for

measurement model evaluation, structural equation model and multi-group

analysis at the formal quantitative research.

1.5. The significance of the research

 Theoretical significance

 Simultaneous test on the relationships among Government export

support, perceive export stimuli, perceived export barriers and export

performance.

 The perceived export stimuli play the role of the mediator variable is

the inheritance and research development from Karakaya and Yannopoulos

(2012).

 Test on direct relationship between perceived export stimuli and

perceived export barriers and the indirect relationship between the

Government support and perceived export barriers via perceived export

stimuli.

 Government export support affects perceived export barriers under

the approach in groups of support programs and internal, external barriers

which are new compared to previous studies.

 Adjusting the Government export support measurement for

agricultural products from Leonidou et al. (2011).

 Practical significance

 Research context is new in Vietnam.

 Study is conducted in specific field which is export agricultural

products. Samples are in all areas in Vietnam.

 Some managerial implications are suggested for SMEs exporting

agricultural products to ASEAN+3 and the policy-makers.

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1.6. The structure of the dissertation

In addition to the preamble and appendixes, the dissertation consists of 5

chapters as follows: Chapter 1: Introduction; Chapter 2: Literature review and

research model; Chapter 3: Research methodology; Chapter 4: Research

results; Chapter 5: Conclusion and research implication.

CHAPTER 2: LITERATURE REVIEW AND RESEARCH MODEL

2.1. Theoretical background

Crick and Spence (2005), Coviello and Cox (2006), Damoah (2011) argued

that the export behavior of SMEs is quite complex, so it is impossible to base

on a single theory to explain but need to use a combination of SME export

behavior theories including 5 theories below.

2.1.1. Resource-based view theory (RBV)

Barney's RBV theory (1991) is most commonly used. According to Barney

(1991), firms should assess whether a resource is (1) valuable, (2) rare, (3)

difficult to imitate or (4) can be replaced or not. If resources are well exploited,

firms will increase their competitive advantage and performance. Firms are

perceived that their own resources can create the internal stimuli or internal

barriers to export.

2.1.2. Stage theory (Uppsala model)

The Uppsala theory (Johanson & Vahlne, 1977, 1990) implies that the more

knowledge and experience accumulated by a firm, the more

internationalization it expands, the more likely it is to overcome barriers and

create stimuli to export which achieve better export performance.

2.1.3. Network model

According to Johanson and Mattsson (1988) network theory, it provides

knowledge, market information, facilitates which stimulate firm to export,

develop and maintain their business. Firms establish, maintain and develop

relationships with involved parties in their businesses, if they are good, they

will be perceived as internal stimuli and if they are not good, they will be

perceived as internal export barrier.

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2.1.4. The International New Ventures theory (INVs)

INVs are defined as business organizations that have built a competitive

advantage from applying resources and selling products in many countries

since they were established (Oviatt & McDougall, 1994). The INVs theory

helps to explain the firm characteristics influence established for international

business (orientation, vision, and preference for international activities) that

the internal factors affect their export performance.

2.1.5. Contingency theory

Lawrence and Lorsch (1967) argues that SMEs internationalization behavior

is dynamic and diverse because it mostly depends on the firm's capabilities

and partly on the external environment. The favorable external environmental

factors will be perceived as external export stimuli and the adverse external

environmental factors will be perceived as external export barriers.

In addition, this study also researches on SMEs related to Government export

support which often applies institutional theory as previous studies

(Szyliowicz & Galvin, 2010; Oparaocha, 2015; Martineau & Pastoriza, 2016).

2.1.6. Institutional theory

This research approaches institutional theory in a formal way (suggested by

North, 1990) or according to regulations (suggested by Scott, 1995).

Accordingly, Government support is considered as formal institutions or

regulations to guide businesses, provide knowledge, experience, reduce

uncertainties... to achieve good performance.

2.2. Research model constructs

2.2.1. SMEs: Approach to Decree 39/2018/ND-CP, but only based on the

average number of insured employees, not on revenue or capital because firms

are not willing to disclose financial business data.

2.2.2. Perceived export stimuli: is the firm perception of the factors that

influence a firm's decision to initiate, continue, or develop exports (Leonidou,

1995a & Morgan, 1997). This study approaches to internal stimuli and

external stimuli (Leonidou, 1995a).

2.2.3. Perceived export barriers: is the firm perception of limitations that

hinder a firm's ability to initiate, continue, or develop business in foreign

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markets (Morgan & Katsikeas, 1997; Leonidou, 2004). This study approaches

to internal barriers and external barriers (Leonidou, 1995b).

2.2.4. Government export support: Government export support is programs

with the purpose of creating export understanding, encouraging and reducing

export barriers for business (Seringhaus & Rosson, 1991). Leonidou et al.

(2011) studied higherachy construct with lower components of information

support, education and training support, trade facilitation support and financial

support.

2.2.5. Export performance: Export performance is the result of firms'

international sales and is measured in terms of export sales, export profits, and

changes in sales or profits (Shoham, 1998). This study approaches subjective

measurement based on the satisfaction of firms on export performance.

2.3. Review of empirical studies

Literature review shows that there are studies showing a positive effect

between perceived export stimuli and export performance, the negative effect

between perceived export barriers and export performance (Boubbakri et al.,

2013; Hemmati et al., 2018; Gerschewski & Rose, 2020). However, there are

also some studies with opposite results (Pett, 2004) or not any relationship

exists (Boubbakri et al., 2013). Several studies of the direct effect of

Government export support on export performance have shown mixed results

of either positive or non-significance. In the indirect relationship between

export support and export performance, studies show a variety of mediator

variables, in which, the perceived export stimuli has not been studied, the

perceived export barriers just were studied by Karakaya and Yannopoulos

(2012).

2.4. Hypothesis

Based on the theoretical background and some related empirical studies,

research hypotheses and research models are proposed as follows:

H1a: There is a positive relationship between Government export support and

perceived internal export stimuli.

H1b: There is a positive relationship between Government export support and

perceived external export stimuli.

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H2a: There is a negative relationship between Government export support and

perceived internal export barriers.

H2b: There is a negative relationship between Government export support and

external export barriers.

H3: There is a positive relationship between Government export support and

export performance.

H4a: There is a positive relationship between perceived internal export stimuli

and export performance.

H4b: There is a positive relationship between perceived external export

stimuli and export performance.

H5a: There is a negative relationship between perceived internal export

barriers and export performance.

H5b: There is a negative relationship between perceived external export

barriers and export performance.

P: There are relationship differences among factors in the research model. P1:

the firm geographical areas; P2: firm size; P3: performance years; P4: export

business years; P5: export mode; P6: selected export markets; P7: the variety

of export products.

2.5. Research model

2.5.1. Theoretical research model

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Figure 2.6: Proposed research model Source: Author’s proposal

2.5.2. Competitive research model

There are more 4 hypotheses

H6a: There is a negative relationship between perceived internal export

stimuli and internal export barriers.

H6b: There is a negative relationship between perceived internal export

stimuli and external export barriers.

H6c: There is a negative relationship between perceived external export

stimuli and internal export barriers.

H6d: There is a negative relationship between perceived external export

stimuli and external export barriers.

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Figure 2.7: Proposed competitive research model Source: Author’s proposal CHAPTER 3: RESEARCH METHODOLOGY 3.1. Research process

Figure 3.1: Research process Source: Author’s proposal

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3.2. Constructing scales

According to Martinović and Matana (2017), previous studies researched

many export barriers, so it is necessary to choose suitable export barriers for

the research context. Jalali (2013) also argues that each study has different

perspectives to specify barriers, especially related to specific industry and

geographical area. Therefore, the scale of perceived export stimuli and barriers

cannot inherit the specific scale of any authors, but must select the export

stimuli and barriers that are suitable for the research context related to

Vietnamese SMEs exporting agricultural products to ASEAN+3. Therefore,

the author has synthesized the scale of SMEs' perceived export stimuli and

barriers from previous studies to conduct qualitative research to determine the

scales to suit the research context. For the Government export support scale,

the author inherits the scale from Leonidou et al. (2011). For the scale of

export performance, the author inherits the subjective measurement from

Katsikeas et al. (1996).

3.3. Qualitative research

After summarizing the scales from previous studies, qualitative research was

conducted through in-depth interviews with representatives of some SMEs

exporting agricultural products, some representatives of state management

agencies and the scientists, focus group with representatives of some SMEs

exporting agricultural products. At the end of the in-depth interviews and

focus group, the scales were formed as follows:

Table 3.7: Scale of perceived internal export stimuli

IS Sources Perceived internal export stimuli

IS1 Special managerial interest/urge to penetrate X market

special IS2 Utilization of managerial talent Leonidou (1995a); Katsikeas (1996); Leonidou (1998); Trimeche (2002); Westhead et al. (2002). (1995a); Katsikeas Leonidou (1996), OECD (2009); Revindo (2016), Vassilios (2017).

IS3 Face to face interview Products meet X market demand

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for

IS4 extra Potential sales/profits from exporting to X (1995a); Katsikeas Leonidou (1996); Leonidou (1998); Westhead et al. (2002).

IS5 Potential for extra growth from exporting to X

Leonidou (1995a); Katsikeas (1996), Leonidou (1998); Westhead et al. (2002) IS6 Close relationship in business Focus group Source: Adjusted results from the scales of previous studies

Table 3.8: Scale of perceived external export stimuli ES Sources Perceived external export stimuli

ES1 High demand in X market

ES2 Stable politics in X market

Leonidou (1995a); Morgan (1997); OECD (2009); Revindo (2016). Vassilios (2017) Leonidou (1995a); Katsikeas (1996); Trimeche (2002) ES3

ES4

Leonidou (1995a); Morgan (1997); OECD (2009); Revindo (2016) Face to face interview ES5

in FTAs ES6

ES7 Relaxation of foreign rules and regulations in X market in with comparison European/American markets Close physical proximity to X market X market culture is similar to Vietnamese culture Tariff reduction member countries Favorable foreign exchange rates Katsikeas & Piercy (1993); Leonidou (1995a); Katsikeas (1996). Leonidou (1995a); Katsikeas (1996), OECD (2009); Akomea et al. (2014), Revindo (2016) Source: Adjusted results from the scales of previous studies

Table 3.9: Scale of perceived internal export barriers IB Perceived internal export Sources barriers

IB1 Lack of experience/knowledge in X market

IB2 Inadequate/untrained personnel for exporting

IB3 Limited working capital to support exports Dean et al. (2000); Suarez-Ortega (2003); Leonidou (2004); Tesfom & Lutz (2006); Kahiya (2015). Leonidou (1995b); Morgan & Katsikeas (1998); Dean et al. (2000); Leonidou (2012); (2000); Milanzi Kahiya (2015). Leonidou (1995b); Leonidou (2000); Leonidou Suarez-Ortega (2003);

IB4 Gathering data/information about X market

rules and IB5 Strict foreign regulations in X market

IB6 Lack of trademark

12 (2004); Jalali (2013); Radojevic et al. (2014); Kahiya (2015). Leonidou (1995b); Leonidou (2000); Da Silva & Da Rocha (2001); Leonidou (2004); Predrag et al. (2014); Kahiya (2015); El Makrini (2015). Leonidou (1995b); Kaleka & Katsikeas (1995); Leonidou (2000); Da Silva & Da Rocha (2001); Leonidou (2004); Makrini (2015); Wijayarathne & Perera (2018). Face to face interview Leonidou (1995b); Leonidou (2004); Milanzi (2012); Radojevic et al. (2014); Wijayarathne & Perera (2018).

IB7 Offering competitive prices in X market

Source: Adjusted results from the scales of previous studies

Table 3.10: Scale of perceived external export barriers EB Sources

Face to face interview EB1 Perceived external export barriers Lacking of vertical link in agricultural value chain

EB2 High interest rate

(2001);

EB3

High domestic production - export costs (raw materials, space rental, electricity, water, gasoline, traffic jams, logistics, storage...)

EB4 Informal costs (Corruption) in home country

Lack of efficient home government export EB5

assistance/incentives

EB6 Unfavorable and changeable home country’s export rules and regulations Dean et al. (2000); Shaw & Darroch (2004); Kahiya (2015). Leonidou (1995b); Da Silva & Da Rocha Suarez-Ortega (2003); Leonidou (2004); Chaudhari et al. (2012); Dean (2015); Makrini (2015). Face to face interview Kaleka & Katsikeas (1995); Morgan & Katsikeas (1997); Leonidou (2000); Khorana et al. (2010). Morgan & Katsikeas (1998); Leonidou (2000); Da Silva & Da Rocha (2001); Leonidou (2004); Radojevic et al. (2014); Makrini (2015); Wijayarathne & Perera (2018). Leonidou (2000); Suarez-Ortega (2003); Leonidou (2004); Milanzi (2012); Radojevic et al. (2014); Kahiya (2015).

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EB7 Health, safety, quality & technical standards in X market

in X EB8 Stiff competition market

EB9 Different foreign customer habits/attitudes

Face to face interview Dean et al. (2000); Leonidou (2000); Crick (2002); Leonidou (2004); Patterson (2004); Korneliussen & Blasius (2008); Pinho & Martins (2010); Kahiya (2015). Leonidou (1995b); Morgan & Katsikeas (1998); Leonidou (2000); Da Silva & Da Rocha (2001); Suarez-Ortega (2003); Leonidou (2004); Jalali (2013); Radojevic et al. (2014); Kahiya (2015) Leonidou (1995b); Leonidou (2000); Da Silva & Da Rocha (2001); (2003); Suarez-Ortega Leonidou (2004); Pinho & Martins (2010); Kahiya (2015); Makrini (2015). Tor Korneliussen & Jörg Blasius (2008). EB10

Mangal & et al. (2012). in EB11 The risk of being sued by the customers in X* market apply who country safeguard measures, anti- dumping tariff Intellectual property rights foreign protection markets Source: Adjusted results from the scales of previous studies

Table 3.11: Scale of Government export support Government export support GS IP Information-Related Programs

IP1 Information about foreign market opportunities in market X IP2 Specific information about doing business with a particular firm

IP3 Provision of marketing information/advice

IP4 Export publications (export newsletters, special reports, mailing lists, and directories…)

EP Education- and Training-Related Programs EP1 Organization of export seminars, conferences, workshops… EP2 Free training programs specializing in exporting EP3 Provision of counseling advice on export business TP Trade Mobility–Related Programs

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TP1 Assistance in participating in trade shows/exhibitions

TP2 Participation in trade missions which can have an inward (e.g., inviting in foreign markets foreign businesspeople, reporters, or others) or outward (e.g., visiting X markets)

TP3 Support by trade offices abroad TP4 Being supported in trademark set up TP5 Being supported in innovation, quality improvements

TP6 Being supported in patent registration, geographical indication for agricultural products

FP Financial Aid–Related Programs FP1 Being supported in export credit FP2 Being supported in preferential loans with low interest rates FP3 Being capital borrowed from SMEs development fund Source: Adjusted results from Leonidou et al. (2011)

Table 3.12: Scale of export performance Export performance

No EXP1 Satisfaction with export sales in 3 recent years EXP2 Satisfaction with export market share in 3 recent years EXP3 Satisfaction with export profit in 3 recent years Source: Katsikeas et al. (1996) 3.4. Preliminary quantitative research

Higher-order component (GS) includes lower-order component IP, EP, TP,

FP. Among them IP, TP have not yet met discriminant validity which are

needed to remove some items. ES6, IB5, IB7 are needed to remove to meet

convergent validity. However, the author decided to keep all of them and will

continue to check them in the formal quantitative research.

3.5. Formal quantitative research Objective, subject, sample size and the implementation are presented

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CHAPTER 4: RESEARCH FINDINGS

4.1. Characteristics of research samples

Table 4.1: Characteristics of research samples Characteristics Percentage (%) Area

Number of participants 39 62 156 North Centre and Highland South 15 24 61

69 23 178 60 size of Firm (Number employees)

of

Number performance years

Number of export business years

Export mode

kind of 8 31 37 13 19 41 39 8 12 50 50 39 10 8 43 60 19 80 96 33 48 105 99 22 31 129 128 101 24 21 111 153 Export market to selected answer the survey questions The variety of export products kinds of 40 104 Below 50 From and above 50 to below 100 From 100 to below 200 Below 5 years From 5 to 10 years From 11 to 15 years Above 15 years Below 5 years From 5 to 10 years From 11 to 15 years Above 15 years Manufacture-export Trade-export Asean Korea Japan Chine One commodity Various commodity

Source: Author’s calculation 4.2. Evaluation of the measurement model

- Higher-order component (GS) includes lower-order component: IP, EP, TP,

FP which satisfy the reliability, convergent validity and discriminant validity.

- Higher-order component (GS) with the remaining constructs in the model

IS, EXP satisfy the reliability, convergent validity and discriminant validity.

ES, IB, EB have not yet met convergent validity. In order to meet the standard,

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the following items should be removed: ES3, ES6, ES7, IB1, IB6, EB2, EB9

and IB4.

4.3. Evaluation of Structural equation model

4.3.1. Evaluation of theoretical research model

(1) Collinearity assessment: the estimated structure model does not have

collinearity.

(2) Structural model path coefficients: Direct effects: 4 hypotheses are

accepted, including H1a, H1b, H3, H4a. 5 hypothesis are rejected, including

H2a, H2b, H4b, H5a, H5b. Indirect effects: There is a total indirect effect of

GS on EXP but just via IS.

adj: R2 =0,31; R2 adj =0,296.

(3)

(4) Coefficient of determination R2 and R2 Effect size f2: there are no effect of ES, IB, EB on EXP, moderate

effect of IS on EXP, GS on IS, ES, EB and EXP, small effect of GS on IB.

(5) Blindfolding and Predictive relevance Q2: Q2 of IS, ES, GS, IB, EB,

and EXP are all greater than 0 indicating the predicted correlation of the path

model for the dependable variable EXP.

(6) Effect size q2: q2 effect of GS on IS, ES, IB, EB are small; GS on EXP,

IS on EXP are nearly moderate; ES, IB, EB on EXP are small or no effect.

4.3.2. Evaluation of competitive research model

(1) Collinearity assessment: the estimated structure model does not have

collinearity.

(2) Structural model path coefficients: Direct effects: the same as

theoretical research model. In addition, 2 hypotheses H6a and H6c in

competitive research model are accepted. H6b and H6d are rejected. Indirect

effects: Beside the same result as theoretical model, there is also an indirect

adj: R2 =0,31; R2 adj =0,296.

(3)

(4)

relationship between GS and IB via IS and ES. Coefficient of determination R2 and R2 Effect size f2: there are no effect of ES, IB, EB on EXP, small effect of GS on IB, EB; ES on IB, EB; moderate effect of GS on IS, ES, EXP; IS on

IB, EB and EXP.

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(5)

Blindfolding and Predictive relevance Q2: Q2 of IS, ES, GS, IB, EB, and EXP are all greater than 0 indicating the predicted correlation of the path

model for the dependable variable EXP.

(6)

Effect size q2: q2 effect of GS on IS, ES, IB, EB are small; GS on EXP, IS on EXP are nearly moderate; ES, IB, EB on EXP are small or no effect; IS

on IB, EB are small; ES on IB, EB are very small.

The results of competitive model test are the same as theoretical model test.

Beside that, there are additional of 2 hypotheses are accepted so competitive

model is more appropriate to explain the reality. Therefore, the competitive

model are applied instead of the theoretical model.

4.4. Multi-group analysis

The test results show that there are only differences in some relationships

among firms by (1) geographical areas: North vs South (GS-> EXP), South vs

Central, Highland (IS-> EXP), North vs South (IS->IB), South vs Central,

Highland (GS->IS->EXP); (2) number of performance years: from 11 to 15

years vs below 5 years (ES->IB), from 5 to 10 years vs below 5 years

(GS->ES), from 11 to 15 years vs from 5 to 10 years (IS->EXP); (3) number

of export business years: below 5 years vs above 15 years (GS->ES); (4)

export mode (IS->IB); (5) export market: ASEAN vs China (GS->EXP).

4.5. Summary of hypothesis test result

Conclusion

Hypothesis Relationshi

Bootstrap

VIF

p

H1a (+)

GS->IS

0,249***

1,000

H1b (+)

GS->ES

1,000

0,289***

0,000 Accepted

Rejected

H2a (-)

GS->IB

1,107

0,213 ns

0,002

Rejected

H2b (-)

GS->EB

1,107

0,144 ns

0,021

H3 (+)

GS->EXP

1,171

0,294***

0,000 Accepted

H4a (+)

IS->EXP

1,666

0,419***

0,000 Accepted

Rejected

H4b (+)

ES->EXP

1,529

-0,008 ns

0,901

[0,150; 0,356] [0,155; 0,4] [-0,189; 0,28] [0,158; 0,359] [0,151; 0,413] [0,277; 0,529] [-0,134; 0,107]

Table 4.21: Summary of hypothesis test results P- β value 0,000 Accepted

Rejected

H5a (-)

IB-> EXP

1,247

18 0,068 ns

0,295

Rejected

H5b (-)

EB-> EXP

1,33

-0,003 ns

0,96

Accepted

H6a (-)

IS->IB

1,42

-0,267***

0,000

Rejected

H6b (-)

IS->EB

1,42

0,283 ns

0,000

Accepted

H6c (-)

ES->IB

1,454

-0,164**

0.023

Rejected

H6d (-)

ES->EB

1,454

0,14 ns

0.056

[-0,084; 0,203] [-0,128; 0,122] [-0,388; -0,095] [0,125; 0,42] [-0,288; -0,004] [-0,014; 0,275]

R2

EXP=0,31; R2

ES=0,084; R2

IB=0,142;

R2

IS=0,062; R2 R2

f2

EB=0,195 GS->ES=0,091; f2 GS->IB= 0,048; GS->EXP=0,098; f2

IS->EXP=0,152;

IB-> EXP=0,005; f2

EB->EXP=0,000;

IS->EB=0,07; f2

ES->IB=0,022; f2

ES->EB=0,017;

GS->IB= 0,057;

Q2

q2

GS->ES= 0,039; Q2 GS->EXP= 0,195 GS->ES=0,041; q2 GS->EXP= 0,06; q2

GS->IB= 0,018; IS->EXP=0,086;

IB->EXP=0,0025; q2

EB->EXP=-0,0025;

IS->EB=0,03; q2

ES->IB=0,0042;

f2 GS->IS=0,066; f2 f2 GS->EB=0,023; f2 f2 ES->EXP= 0,000; f2 IS->IB=0,058; f2 f2 GS->IS =0,03; Q2 Q2 GS->EB= 0,093 Q2 Q2 GS->IS=0,031; q2 q2 GS->EB=0,006; q2 q2 ES->EXP=-0,00124; q2 q2 IS->IB=0,024; q2 q2 q2 ES->EB=0,0066

β 0,508

Relationship GS->EXP

P-value 0,005

Multi-group analysis (PLS-MGA) Expectation P6a

Conclusion Partial difference

Geographi cal areas

IS -> EXP

0,511

0,016

Firm characteristics North vs South North: β =0,665***; South: β =0,157* South vs Central, Highland

IS->IB

-0,471

South: β=0,551***; Central, Highland: β=0,04ns 0,025 North vs South

0,142

0,014

North: β =-0,593***; South: β =-0,121 ns South vs Central, Highland

GS->IS ->EXP

Firm size

ES->IB

-0,728

0,042

P6b P6c

Rejected Partial difference

South: β=0,142***; Central, Highland: β=0ns from 11 to 15

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Number of performance years

0,323

0,049

0,045

-0,568

IS->EXP

GS->ES

-0,344

0,036

GS->ES

P6d

Partial difference

IS->IB

-0,337

Number of export business years

P6e

Partial difference

Export mode

GS->EXP

0,005

0,417

P6f

Partial difference

Export market

Rejected

years vs below 5 years 11 to 15 years: β=-0,645**; below 5 years: β=0,082 ns from 5 to 10 years vs below 5 years 5 to 10 years; β=0,459*** ; below 5 years: β=0,136 ns 11 to 15 years vs 5 to 10 years 11 to 15 years: β=-0,006ns; 5 to 10 years: β=0,562*** Below 5 years vs above 15 years Below 5 years: β=0,222*; Above 15 years: β=0,566** 0,028 Export manufacture: β=-0,459***; Export trade: β=-0,122 ns ASEAN vs China ASEAN: β=0,471***; China: β=0,053ns

P6g

The variety of export products

Source: Author’s calculation

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Note: **, *** corresponds to 5% and 1% significance levels; ns (non- significant): not statistically significant

Firms’ geographical areas multi-group analysis (GS->EXP: North vs South; IS->EXP: South vs Central, Highland; IS->IB: North vs South; GS->IS->EXP: South vs Central, Highland) Number of performance years multi-group analysis (ES->IB: 11 to 15 years vs below 5 years; GS->ES: 5 to 10 years vs below 5 years; IS->EXP: 11 to 15 years vs 5 to 10 years) Number of export business years multi-group analysis (GS->ES: below 5 years vs above 15 years) Export mode multi-group analysis (IS->IB) Export market multi-group analysis (GS->EXP: ASEAN vs China)

Figure 4.1: Result of evaluation of structural equation model (including GS ‘s lower-order component) Source: Processing results from the author's survey data

4.6. Discussion 4.6.1. The effects of each construct in the research model

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• There is a direct and indirect relationships between Government export

support and export performance that is similar to some studies by Ali and

Shamsuddoha (2007), Haddoud et al. (2017), Wang et al. (2017). The direct

effect of Government export support on export performance is stronger than

the indirect effect (β = 0.294 vs. β = 0.108). This result is different from

Karakaya and Yannopoulos (2012). The existence of an indirect relationship

has shown that the Government export support increases stimuli, reduces

export barriers, thereby contributing to the increase in the firm export

performance despite the indirect effect is smaller than direct effect. However,

only the perceived internal export stimuli make sense in this indirect effect.

The Government export support does not reduce the perceived export barriers

in order to contribute to the increase in export performance. This is discussed

with experts and is explained by the fact that Vietnamese SMEs have tried to

overcome export barriers even though they have not yet been able to access

Government support programs.

 Government export support positively affects perceived internal and

external export stimuli with approximately equal effects (β=0.249 and β=

0.289). This is similar to some studies by Crick and Jones (2000), Brewer

(2001), Mencinger (2003).

 It does not exist relationships among Government export support and

perceived internal, external export barriers. This shows that firms do not

appreciate the Government support to help them overcome internal and

external export barriers. This result is different from Karakaya and

Yannopoulos (2012), Shamsuddoha and Ndubisi (2009) studies.

 There is a positive relationship between perceived internal export

stimuli and export performance which is similar to research by Stoian (2010),

Gilaninia et al. (2013), Anil et al. (2016) but differs from these authors'

research when there is no relationship between perceived external export

stimuli and export performance. With the effect of 0.419, it shows that firms

highly appreciate the perceived internal export stimuli which affect the results

of their export activities. Perceived external export stimuli do not affect export

performance. Through discussions with some experts, it is explained that the

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external export stimuli are not important factors affecting the export

performance but for the business, in order to be successful in export activities,

the factors of firm resources and capability have a more important decisive

role.

It does not exist relationships among perceived internal, external 

export barriers and export performance. According to firm ideas, although

they perceive some export barriers, when they are exporting to selected

markets, it means they realize more benefits than the difficulties they have and

try to overcome barriers to achieve export performance. This is also consistent

with Vida and Fairhurst (1998), Maharajh and Heitmeyer (2005), Anil et al.

(2016), Adu-gyamfi (2013), Sinkovics (2018), Jones (2018), Haddoud et al.

(2018).

 Only the perceived internal export stimuli has a negative impact on

perceived internal export barriers and the perceived external export stimuli has

a negative impact on perceived internal export barriers. This is also consistent

with the RBV theory when firms possess unique resources, they can overcome

difficulties and barriers to success. The research results also show that there is

an indirect relationship between Government export support and the perceived

internal export barriers via perceived export stimuli.

4.6.2. The relationship differences in the research model based on survey

sample characteristics

- There is no differences in relationships among firms by firm size and the

variety of export products. There are some differences among firms by some

geographical areas, number of performance years, number of export business

years, export mode and export market. This result is similar to a single

relationship study as Suva and Rocha (2001) who found that firm

characteristics do not affect some perceived export barriers. Crick (1998),

Kneller and Pisu (2007) found that firm size does not affect the perceived

export barriers. Yannopoulos and Kefalaki (2010) found that exporting

experience does not affect the perceived export barriers. This result is partly

similar to the Malca et al. (2019) when it shows that there is no difference in

the relationships between Government support, internal resources and

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performance by firm size, experience, export markets, business sectors and

the firm has the export department or not.

CHAPTER 5: CONCLUSION AND RESEARCH

IMPLICATION

5.1. Conclusions

Based on the background theory and empirical studies, the theoretical research

model and competitive model have been set up. Among 13 relationship

hypotheses, 6 hypotheses are accepted and 7 hypotheses are rejected which

meet the first objective. With the second research objective, the results of

testing the differences based on firm characteristics show that there are not

relationships differences among firms by size and the variety of the products.

The research results support the view that Government export support

increases the perceived export stimuli as resources and business capacity

increase due to the support, which in turn leads to success in export

performance (Czinkota, 1994). Thus, Government export support affects

export performance directly and indirectly through firm perceived internal

valuable resources. In addition, another result shows that although there is not

the direct relationship between the Government support and the perceived

internal export barriers, there is an indirect relationship between these two

factors via the perceived internal and external export stimuli.

5.2. Some managerial implication suggestions

Implication 1: From the relationship between the perceived internal export

stimuli and the export performance, firms need to improve their own

resources.

Implication 2: From the relationships among Government export support and

the perceived internal, external export stimuli, its export performance and

indirect relationship between Government support and the perceived internal

export barriers, firms should increase the use of support programs.

Implication 3: From the relationship between the Government export support

and the perceived external export stimuli, there is a need to increase

information support in export markets.

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Implication 4: From the relationship between the Government export support

and the export performance, effective support programs should be provided.

Implication 5: From the relationship between the Government export support

and perceived internal export stimuli, it is necessary to provide a variety of

export support packages to increase firm resources.

Implication 6: From the test results showing the differences in some

relationships among firms with different characteristics, it shows the need in

designing support programs based on specific characteristics of each

businesses groups and specific groups of firms need special efforts to increase

firm resources.

5.3. Research limitations and directions for further research

 Research limitations

- Sample size: Due to limited accessibility to the board of director members,

the sample size of this study was only 257 samples.

- Sampling method: due to limitation to approach the board of director

members, the sampling method of this study is convenience and snowball

sampling which are not good to have a completely exact result.

- Sample in qualitative research: due to the lack of relationship and difficulty

to access state management officials whose duties related to export support

programs, it is lacked of many practical ideas from these experts.

 Directions for further research

- It is necessary to increase the sample size and select the sample quota evenly

across areas and use better sampling methods.

- Research on knowing and using Government support programs to draw more

realistic policy implications.

- Research on the moderator role of Government export support can increase

the impact of perceived export stimuli on export performance, and reduce the

impact of perceived export barrier on export performance.

- It is necessary to further study other firm internal and external factors that

affect the firms export performance.